fr: logements commune batiments constructions taux vacants

de: anteil leerstehende gemeinde bau gebaude wohnungen

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (parquet)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (parquet)

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (rdfxml)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (rdfxml)

de: jsonld

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (jsonld)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (jsonld)

de: csv

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (csv)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (csv)

de: xlsx

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (xlsx)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (xlsx)

de: turtle

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (turtle)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (turtle)

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (n3)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (n3)

de: json

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (json)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (json)

fr: Logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995 (jsonl)

de: Leerstehende Wohnungen nach Bauperiode und Anzahl Zimmer ab 1995 (jsonl)

fr: Ce jeu de données présente les logements vacants, selon l'époque de construction et le nombre de pièces, dès 1995.Remarques: Les données statistiques des communes fribourgeoises qui fusionnent sont intégrées rétroactivement à la nouvelle commune. Les données statistiques de Clavaleyres, anciennement commune bernoise, sont incluses à celles du canton de Fribourg et à la commune de Morat dès la période d’observation 2022.

de: Dieser Datensatz enthält leer stehende Wohnungen nach Baujahr und Zimmerzahl ab 1995.Anmerkungen: Die statistischen Daten der fusionierten Freiburger Gemeinden werden rückwirkend in die neue Gemeinde integriert. Die statistischen Daten von Clavaleyres, einer ehemals bernischen Gemeinde, werden ab dem Beobachtungszeitraum 2022 in die Daten des Kantons Freiburg und der Gemeinde Murten integriert.

anteil

display_name: anteil

batiments

display_name: batiments

bau

display_name: bau

constructions

display_name: constructions

gebaude

display_name: gebaude

leerstehende

display_name: leerstehende

logements

display_name: logements

taux

display_name: taux

vacants

display_name: vacants

wohnungen

display_name: wohnungen

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

fr: Service de la statistique et de la donnée Fribourg

fr: Le Service de la statistique et de la donnée est le centre de compétence cantonal pour la statistique publique. Il collecte, analyse et diffuse des données statistiques sur la situation et l’évolution du canton, soutient les services de l’État dans la gestion des données et coordonne la diffusion des données administratives en libre accès.

de: Das Amt für Statistik und Daten ist das kantonale Kompetenzzentrum für die öffentliche Statistik. Es erhebt, analysiert und verbreitet statistische Daten über die Lage und die Entwicklung des Kantons, unterstützt die Dienststellen des Staats bei der Verwaltung ihrer Daten und koordiniert die Veröffentlichung der offenen Verwaltungsdaten.


maintainer: Centre de compétences et de coordination OGD / Kompetenz- und Koordinationszentrum für OGD

fr: votations canton commune

de: abstimmungen kanton gemeinde

author: ssd

state: active

type: dataset

fr: Votations cantonales fribourgeoises par commune, dès 2015 (n3)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (n3)

de: jsonl

media_type: application/json

fr: Votations cantonales fribourgeoises par commune, dès 2015 (jsonl)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (jsonl)

format: JSON

fr: Votations cantonales fribourgeoises par commune, dès 2015 (json)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (json)

media_type: text/turtle

fr: Votations cantonales fribourgeoises par commune, dès 2015 (turtle)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (turtle)

format: RDF Turtle

fr: Votations cantonales fribourgeoises par commune, dès 2015 (jsonld)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (jsonld)

format: JSON-LD

media_type: text/csv

fr: Votations cantonales fribourgeoises par commune, dès 2015 (csv)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (csv)

format: CSV

de: rdfxml

media_type: application/rdf+xml

fr: Votations cantonales fribourgeoises par commune, dès 2015 (rdfxml)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (rdfxml)

format: RDF XML

de: parquet

fr: Votations cantonales fribourgeoises par commune, dès 2015 (parquet)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (parquet)

format: PARQUET

fr: Votations cantonales fribourgeoises par commune, dès 2015 (xlsx)

de: Freiburger kantonale Abstimmungen nach Gemeinden, ab 2015 (xlsx)

format: XLS

fr: Ce jeu de données contient les résultats des votations cantonales par commune depuis 2015.L'état des communes et des districts est celui en vigueur au moment du vote.La somme des votes "oui" et "non" pour la votation du 9 juin 2024 concernant les urgences hospitalières publiques 24/24 ne correspond pas au nombre de bulletins valides, l'option "sans réponse" étant comptabilisée comme un vote valide.

de: Dieser Datensatz enthält die Ergebnisse der kantonalen Volksabstimmungen nach Gemeinden ab 2015.Der Stand der Gemeinden und Bezirke ist jener zum Zeitpunkt der Abstimmung gültige.Die Summe der „Ja“- und „Nein“-Stimmen für die Abstimmung vom 9. Juni 2024 über öffentliche 24-Stunden-Notaufnahmen in Krankenhäusern entspricht nicht der Anzahl der gültigen Stimmzettel, da die Option „keine Antwort“ als gültige Stimme gezählt wird.

abstimmungen

display_name: abstimmungen

canton

display_name: canton

commune

display_name: commune

gemeinde

display_name: gemeinde

kanton

display_name: kanton

votations

display_name: votations

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

de: ssd

ssd

de: Amt für Statistik und Daten Freiburg

en: Statistics and Data Service Fribourg

it: Servizio Statistiche e Dati Friburgo

en: The Statistics and Data Service is the cantonal competence center for public statistics. It collects, analyzes, and disseminates statistical data on the situation and development of the canton, supports state services in data management, and coordinates the dissemination of administrative data in open access.

it: Il Servizio Statistiche e Dati è il centro di competenza cantonale per la statistica pubblica. Raccoglie, analizza e diffonde dati statistici sulla situazione e l'evoluzione del cantone, supporta i servizi statali nella gestione dei dati e coordina la diffusione dei dati amministrativi ad accesso aperto.

political_level: canton

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Kt. FR


name: Centre de compétences et de coordination OGD / Kompetenz- und Koordinationszentrum für OGD

fr: conjoncture-fribourgeoise pactes indicateurs-conjoncturels district offices-des-poursuites

de: bezirk freiburger-konjunkturspiegel pakte betreibungsamter konjunkturindikatoren

de: json

fr: Pactes de réserve de propriété, par mois, dès 1991 (json)

de: Eigentumsvorbehalte, pro Monat ab 1991 (json)

fr: Pactes de réserve de propriété, par mois, dès 1991 (n3)

de: Eigentumsvorbehalte, pro Monat ab 1991 (n3)

de: csv

fr: Pactes de réserve de propriété, par mois, dès 1991 (csv)

de: Eigentumsvorbehalte, pro Monat ab 1991 (csv)

de: turtle

fr: Pactes de réserve de propriété, par mois, dès 1991 (turtle)

de: Eigentumsvorbehalte, pro Monat ab 1991 (turtle)

fr: Pactes de réserve de propriété, par mois, dès 1991 (parquet)

de: Eigentumsvorbehalte, pro Monat ab 1991 (parquet)

fr: Pactes de réserve de propriété, par mois, dès 1991 (jsonl)

de: Eigentumsvorbehalte, pro Monat ab 1991 (jsonl)

de: xlsx

fr: Pactes de réserve de propriété, par mois, dès 1991 (xlsx)

de: Eigentumsvorbehalte, pro Monat ab 1991 (xlsx)

fr: Pactes de réserve de propriété, par mois, dès 1991 (rdfxml)

de: Eigentumsvorbehalte, pro Monat ab 1991 (rdfxml)

de: jsonld

fr: Pactes de réserve de propriété, par mois, dès 1991 (jsonld)

de: Eigentumsvorbehalte, pro Monat ab 1991 (jsonld)

fr: Ce jeu de données présente les chiffres mensuels et le montant des Pactes de réserve de propriété, par district du canton de Fribourg, depuis 1991.

de: Dieser Datensatz enthält die monatlichen Zahlen sowie die Anzahl Eigentumsvorbehalte, nach Bezirk des Kantons Freiburg ab 1991.

betreibungsamter

display_name: betreibungsamter

bezirk

display_name: bezirk

conjoncture-fribourgeoise

display_name: conjoncture-fribourgeoise

district

display_name: district

freiburger-konjunkturspiegel

display_name: freiburger-konjunkturspiegel

indicateurs-conjoncturels

display_name: indicateurs-conjoncturels

konjunkturindikatoren

display_name: konjunkturindikatoren

offices-des-poursuites

display_name: offices-des-poursuites

pactes

display_name: pactes

pakte

display_name: pakte

econ

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

de: Das Amt für Statistik und Daten ist das kantonale Kompetenzzentrum für die öffentliche Statistik. Es erhebt, analysiert und verbreitet statistische Daten über die Lage und die Entwicklung des Kantons, unterstützt die Dienststellen des Staats bei der Verwaltung ihrer Daten und koordiniert die Veröffentlichung der offenen Verwaltungsdaten.

de: Eigentumsvorbehalte, pro Monat ab 1991


fr: population-residante genre commune nationalite

de: gemeinde geschlecht wohnbevolkerung nationalitat

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (n3)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (n3)

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (xlsx)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (xlsx)

de: rdfxml

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (rdfxml)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (rdfxml)

de: json

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (json)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (json)

de: jsonl

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (jsonl)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (jsonl)

de: parquet

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (parquet)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (parquet)

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (jsonld)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (jsonld)

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (turtle)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (turtle)

fr: Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981 (csv)

de: Bevölkerungsbilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981 (csv)

fr: Ce jeu de données présente le Bilan démographique de la population résidante permanente, par commune, sexe et catégorie de nationalité, dès 1981

de: Dieser Datensatz zeigt die demografische Bilanz der ständigen Wohnbevölkerung nach Gemeinde, Geschlecht und Staatsangehörigkeitskategorie ab 1981.

genre

display_name: genre

geschlecht

display_name: geschlecht

nationalitat

display_name: nationalitat

nationalite

display_name: nationalite

population-residante

display_name: population-residante

wohnbevolkerung

display_name: wohnbevolkerung

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

de: ssd

ssd

fr: Service de la statistique et de la donnée Fribourg

de: Amt für Statistik und Daten Freiburg

fr: Le Service de la statistique et de la donnée est le centre de compétence cantonal pour la statistique publique. Il collecte, analyse et diffuse des données statistiques sur la situation et l’évolution du canton, soutient les services de l’État dans la gestion des données et coordonne la diffusion des données administratives en libre accès.


fr: commune emplois entreprises

de: unternehmen beschaftigte gemeinde

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (json)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (json)

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (jsonl)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (jsonl)

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (n3)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (n3)

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (parquet)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (parquet)

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (rdfxml)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (rdfxml)

de: turtle

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (turtle)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (turtle)

de: xlsx

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (xlsx)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (xlsx)

de: csv

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (csv)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (csv)

de: jsonld

fr: Création de nouvelles entreprises et de nouveaux emplois, dès 2013 (jsonld)

de: Unternehmensgründungen und neugeschaffene Arbeitsstellen nach Gemeinde ab 2013 (jsonld)

fr: Ce jeu de données présente les chiffres annuels des créations de nouvelles entreprises et de nouveaux emplois du canton de Fribourg selon la commune, depuis 2013. Ne font partie du relevé que les entreprises véritablement nouvelles - créées «ex nihilo» - et exerçant une activité économique marchande. Les entreprises issues d’une fusion, d’une dissolution ou d’une scission d’entreprises préexistantes ne sont pas considérées. Le secteur primaire est exclu des données.Les valeurs "GDPr" dans le jeu de données sont incluses pour être conforme à la nouvelle loi sur la protection des données (nLPD, effective depuis le 1er septembre 2023).Les données de Clavaleyres, commune anciennement bernoise fusionnée avec Morat au 1er janvier 2022, sont incluses à celles du canton de Fribourg et de la commune de Morat rétroactivement pour toute la période d'observation.

de: Dieser Datensatz enthält die jährlichen Zahlen der Neugründungen von Unternehmen und Arbeitsplätzen im Kanton Freiburg nach Gemeinde, seit 2013. Zur Erhebung gehören nur wirklich neue - „ex nihilo“ gegründete - Unternehmen, die eine marktwirtschaftliche Tätigkeit ausüben. Unternehmen, die aus einer Fusion, Auflösung oder Spaltung bereits bestehender Unternehmen hervorgegangen sind, werden nicht berücksichtigt. Der Primärsektor ist aus den Daten ausgeschlossen.Die "GDPr"-Werte im Datensatz sind enthalten, um dem neuen Datenschutzgesetz (nLPD, wirksam seit dem 1. September 2023) zu entsprechen.Die Daten von Clavaleyres, einer ehemals bernischen Gemeinde, die am 1. Januar 2022 mit Murten fusionierte, sind rückwirkend für den gesamten Beobachtungszeitraum in die Daten des Kantons Freiburg bzw. der Gemeinde Murten integriert.

beschaftigte

display_name: beschaftigte

commune

display_name: commune

emplois

display_name: emplois

entreprises

display_name: entreprises

gemeinde

display_name: gemeinde

unternehmen

display_name: unternehmen

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

de: Das Amt für Statistik und Daten ist das kantonale Kompetenzzentrum für die öffentliche Statistik. Es erhebt, analysiert und verbreitet statistische Daten über die Lage und die Entwicklung des Kantons, unterstützt die Dienststellen des Staats bei der Verwaltung ihrer Daten und koordiniert die Veröffentlichung der offenen Verwaltungsdaten.


fr: Montant trimestriel des mises en chantier, dès 1984 (n3)

de: Vierteljährlicher Baubeginn ab 1984 (n3)

de: json

fr: Montant trimestriel des mises en chantier, dès 1984 (json)

de: Vierteljährlicher Baubeginn ab 1984 (json)

fr: Montant trimestriel des mises en chantier, dès 1984 (csv)

de: Vierteljährlicher Baubeginn ab 1984 (csv)

de: parquet

fr: Montant trimestriel des mises en chantier, dès 1984 (parquet)

de: Vierteljährlicher Baubeginn ab 1984 (parquet)

fr: Montant trimestriel des mises en chantier, dès 1984 (jsonld)

de: Vierteljährlicher Baubeginn ab 1984 (jsonld)

de: rdfxml

fr: Montant trimestriel des mises en chantier, dès 1984 (rdfxml)

de: Vierteljährlicher Baubeginn ab 1984 (rdfxml)

fr: Montant trimestriel des mises en chantier, dès 1984 (xlsx)

de: Vierteljährlicher Baubeginn ab 1984 (xlsx)

de: jsonl

fr: Montant trimestriel des mises en chantier, dès 1984 (jsonl)

de: Vierteljährlicher Baubeginn ab 1984 (jsonl)

fr: Montant trimestriel des mises en chantier, dès 1984 (turtle)

de: Vierteljährlicher Baubeginn ab 1984 (turtle)

fr: Ce jeu de données contient une série temporelle des montants des mises en chantier, exprimés en milliers de francs, pour chaque trimestre depuis 1984. Chaque enregistrement comprend la période concernée, l'état des données (provisoires, définitives) ainsi que le montant.

de: Dieser Datensatz enthält eine Zeitreihe der Baubeginnbeträge, ausgedrückt in Tausend Franken, für jedes Quartal seit 1984.Jeder Datensatz enthält den jeweiligen Zeitraum, den Status der Daten (vorläufig, endgültig) sowie den Betrag.

baubeginn

display_name: baubeginn

mises-en-chantier

display_name: mises-en-chantier

de: ssd

ssd

de: Amt für Statistik und Daten Freiburg

de: Vierteljährlicher Baubeginn ab 1984


maintainer: Michael Lehning

en: snow-hydrology snow-cover snow snow-distribution alpine-precipitation alpine3d-simulations alpine3d

en: ADS datasets and simulation inputs

media_type: application/zip

en: The file contains the ADS datasets of snow depth and input data used for simulations.

format: ZIP

mimetype: application/zip

en:
Dataset (Model input, snow distribution and validation) for the precipitation scaling paper, which should be cited along with the data set citation.

This data is useful for distributed hydrological modelling or other tasks that involve the study of snow distribution and precipitation in the high Alpine.

The format of the data is for Alpine3D (models.slf.ch) model runs but other models could be used, too.

Please cite:

_Vögeli, C., Lehning, M., Wever, N., Bavay M., 2016: Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution., Front. Earth Sci. 4: 108. doi: 10.3389/feart.2016.00108._

Dataset is provided as a single zip file.
The archive contains two directories, the valuable distributed snow depth maps for the landscape Davos and the simulation input.
The archive also contains the file: "ReadMeMetadataDataSetPrecipitationScaling" which explains the data structure.

alpine-precipitation

display_name: alpine-precipitation

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

value: Envidat Harvester

en: Precipitation Scaling Data Set (Vögeli et al., Frontiers)


maintainer: Lisa Hülsmann

en: fagus-sylvatica mortality-models forest-reserves primeval-forests forest-inventory tree-mortality

en: Swiss data reduced

en:
READ ME for

Hülsmann L, Bugmann H, Commarmot B, Meyer P, Zimmermann S, Brang P
Data from: Does one model fit all? Patterns of beech mortality in natural forests of three European regions.
Ecological Applications http://dx.doi.org/10.5061/dryad.h4s6t

Forest inventory data of beech for the development of individual-tree mortality models from strict forests reserves in Switzerland, Germany and Ukraine.

The data package provides the files
CH_reduced: inventory data of the reduced dataset from Switzerland that was used to assess the influence of additional environmental and stand characteristics on beech mortality
CH: inventory data from strict forest reserves in Switzerland
DE: inventory data from strict forest reserves in Germany
UA: inventory data from a primeval beech forest in Ukraine

A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.
Diameter at breast height: dbh (mm)
Annual relative basal area increment: relBAI (), calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area (Bigler and Bugmann 2004)
Status of the tree: y, 0 = alive, 1 = dead
Length of the mortality period: dt (years)

Additional environmental and stand characteristics were derived for the reduced Swiss dataset.
Note the varying seasonal level of the covariates considering the entire year, the growing season from April to September (G) and the winter month January to March (W).
All climatic covariates were calculated for both the ‘growth’ (2) and the ‘mortality’ period (3). The stand covariates were derived for the second inventory of each record (2).

Mean diameter at breast height: dbh.mean.2 (mm)
Interquartile range of diameter at breast height: dbh.IQR.2 (mm)
Median diameter at breast height: dbh.median.2 (mm)
Basal area per hectare: BA.2 (m2 ha-1)
Number of trees per hectare: N.2 (ha-1)
pH-value: pH ()
Available water capacity in the soil: AWC (mm)
Mean annual precipitation sum: P.2, P.3 (mm)
Mean precipitation sum during growing season: PG.2, PG.3 (mm)
Mean annual air temperature: mT.2, mT.3 (°C)
Mean air temperature during growing season: mTG.2, mTG.3 (°C)
Mean air temperature during winter months: mTW.2, mTW.3 (°C)
Mean growing degree-days: GDD.2, GDD.3 ()
Mean number of months during growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()
Mean annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)
Overall maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 (mm)
Mean of cumulative water deficit during growing season: mDEFcumG.2, mDEFcumG.3 (mm)
Overall maximum of cumulative water deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 (mm)
Percentage of years with at least one month water deficit: percDEF.2, percDEF.3 (%)

mimetype: text/csv

en: Swiss data full

en: German data

en: Ukrainian data

en:
The datasets comprise nearly 19’000 trees of European beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, Germany / Lower Saxony and Ukraine. Tree death was modelled as a function of size and growth, i.e., stem diameter (DBH) and relative basal area increment (relBAI). To explain the spatial and temporal variability in mortality patterns, we considered a large set of environmental and stand characteristics.

 Inventory data
The strict forest reserves in Switzerland and Germany had been established in the period of 1961-1975 and 1971-1974, respectively. Every reserve included up to 10 permanent plots ranging from 0.09 to 1.8 ha in size, with slightly irregular re-measurement intervals. Permanent plots with pure or mixed beech stands were selected from the reserves of both networks. Reserves with considerable wind disturbance during the monitored intervals were excluded from the analysis. In addition to data from the Swiss and German reserves, data from a 10 ha plot in the primeval beech forest Uholka in Western Ukraine including three remeasurements were used. The inventory data provide diameter measurements at breast height (dbh) for revisited trees with a diameter of more than 4, 7 and 6 cm for Switzerland, Germany and Ukraine, respectively.

 Mortality predictors
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory. As an explanatory variable, the annual relative basal area increment (relBAI) was calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area. Tree dbh in the second inventory was used in addition to relBAI to model tree status (alive or dead) of the third inventory.

To increase the generality of the mortality models, we selected environmental variables that are known to have a considerable influence on growth and mortality of beech. We emphasized the effects of water availability using a large set of drought characteristics that were calculated based on the local site water balance. We also related beech mortality to soil pH, temperature, precipitation and growing degree-days. Additionally, we considered stand characteristics that reflect the development stage, competition and structure of the forests.

 Further information
For further information, refer to Hülsmann _et al_. (2016) Does one model fit all? patterns of beech mortality in natural forests of three European regions. _Ecological Applications_.

fagus-sylvatica

display_name: fagus-sylvatica

forest-inventory

display_name: forest-inventory

forest-reserves

display_name: forest-reserves

mortality-models

display_name: mortality-models

primeval-forests

display_name: primeval-forests

tree-mortality

display_name: tree-mortality

en: Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions


en: colombia magdalena edna metabarcoding vert01 fish teleo

en: Data access

en: Please cyberduck to download for the moment

format: SERVICE

en:
Monitoring of vertebrates of the lower Magdalena river through eDNA metabarcoding
The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets targeting different regions of the mitochondrial DNA 12S ribosomal RNA gene, to detect vertebrate diversity in the Magdalena River. We detected a total of 159 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases in relation to the proximity to the river mouth with a change in the composition of the assemblage of aquatic vertebrates detected. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. Samples were taken at the sides of the river or in the center using a boat. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 1 hours, during which a maximum of 30 liters of water were filtered through each capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

colombia

display_name: colombia

edna

display_name: edna

fish

display_name: fish

magdalena

display_name: magdalena

metabarcoding

display_name: metabarcoding

teleo

display_name: teleo

en: Environmental DNA Freshwater Colombia Magdalena 2022


maintainer: Axel Volkwein

en: mass-movements rockfall-experiments field-test field-data rockfall natural-hazard experiments field-tests impact-testing experiment

en: Acceleration measurements

en: The zip file contains five excel files, one for each test conducted. The first sheet contains the raw data and a data set that went through a low-pass filter. The sheet "Allgemein" contains calibration factors for the sensors and time details of a test. The sheets "DiaDaten" and "DiaDatenGefiltert" show the measurements over time. The block and slab kinetics are determined in the sheets "ZeitintegrationBlock" and "ZeitintegrationPlatte". The sheet "VergleichBeschleunigungen" shows the influence of the low-pass-filter and a running average filter on the block accelerations.

en: Raw data (high speed videos, acceleration measurements, laboratory tests)

en:
This file contains

* the high speed videos showing the concrete blocks impacting the gallery roof.
* the raw data of the acceleration measurements
* the data of Tiefbauamt Graubünden containg the tension tests of gallery reinforcment, ME-testing the cushion layer and the tests on concrete samples.

en: Video analysis

en: The zip contains five Excel-files that in turn contain the results of the performed video analyses. The sheet "Daten" contains the pixels of different positions on the blocks that were tracked by the software "Kinovea". The sheet "Auswertung" determines the block kinetics based on the pixel data over time.

en: Five full-scale field tests were conducted with concrete blocks weighting between 800 and 3200 kg being dropped onto the roof of a gallery structure made from reinforced concrete. The impacts were recorded using high-speed video and acceleration measurements at the falling blocks. The dataset contains the raw data as well as the analyses of the block trajectories, i.e. kinetics and dynamics. Setup of the measurements and the analyses conducted are published in Volkwein, A. "Durchführung und Auswertung von Steinschlagversuchen auf eine Stahlbetongalerie", WSL-Berichte, Heft 68, 2018.

experiment

display_name: experiment

experiments

display_name: experiments

field-data

display_name: field-data

field-test

display_name: field-test

field-tests

display_name: field-tests

impact-testing

display_name: impact-testing

mass-movements

display_name: mass-movements

natural-hazard

display_name: natural-hazard

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

educ

en: Education, culture and sport

en: Rockfall gallery testing Parde 2016


en: stable-isotopes topsoil-interflow overland-flow studibach alptal plot soil-water groundwater rainfall electrical-conductivity

en:
This dataset contains stable isotope ratios of oxygen and hydrogen (O-18 and H-2) and electrical conductivity (EC) in overland flow (OF), topsoil interflow (TIF), soil water, groundwater, and rainwater for 12 rainfall events during the snow-free seasons of 2021 and 2022 in the Studibach catchment, Alptal, Switzerland.

Overland flow, topsoil interflow (i.e., lateral flow from the more densely rooted soil layer), soil water, and groundwater were collected at 14 small trenched runoff plots (1 x 3 m) in three subcatchments (C2, C3, C5) of the Studibach catchment. Overland flow was collected from the surface up to 2-5 cm depth and thus includes biomat flow. A trench was used to collect topsoil interflow (up to 60 cm below the surface; see Table 1 in the manuscript for details). Rainwater was collected at two locations in the Studibach catchment (in C3 and C5, respectively). Soil water was collected in between the events from suction lysimeters installed at 12.5 cm and 20 cm below the soil surface in the middle of each plot. Groundwater was collected between events from wells installed near the plots up to the soil-bedrock interface.
The water samples were analysed for the stable isotopes of oxygen and hydrogen (O-18 and H-2) using with a cavity ring-down spectroscope (CRDS; L2140-i or L2130-i, Picarro, Inc., USA) at the Chair of Hydrology at the University of Freiburg, Germany. The isotope ratios are reported in per mil (‰) relative to Vienna Standard Mean Ocean Water.

A more detailed description of the field setup, data collection and preparation can be found in Leuteritz et al. (in press).

The dataset contains in addition to the sample identifier and the site and event identifiers that are used in the publication, also the sample collection date (typically one day after the event) and the coordinates for each plot (coordinate system: WGS84). For the plots for which samples were collected with an automatic sampler (ISCO), the date and time (UTC) of sample collection are given as well.

alptal

display_name: alptal

electrical-conductivity

display_name: electrical-conductivity

groundwater

display_name: groundwater

overland-flow

display_name: overland-flow

plot

display_name: plot

rainfall

display_name: rainfall

soil-water

display_name: soil-water

stable-isotopes

display_name: stable-isotopes

studibach

display_name: studibach

topsoil-interflow

display_name: topsoil-interflow

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Stable water isotopes and EC in overland flow, topsoil interflow, soil water, groundwater, and rainwater for 12 rainfall events in the Studibach catchment, Alptal, Switzerland


maintainer: EnviDat Support

en: meteo wind-speed climate-change precipitation relative-humidity long-term temperature par swiss-forest-lab meteorology

en: Data plot of the forest station (LEB)

media_type: application/pdf

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

format: PDF

mimetype: application/pdf

en: Site photo of the forest station (LEB)

en: Site photo of the forest station from below (viewing upwards the slope)

mimetype: image/jpeg

en: Forest station data (LEB)

en: Data file.

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Lens in Switzerland which is located within a natural coniferous forest with Scots pine (_Pinus sylvestris_; 150-170 yrs)) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lens is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Lens, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Anita C. Risch

en: nitrification mineralization grassland climate global-change ammonification fertilization soil nitrogen herbivore nutrient-network

en: Risch et al. 2020 - Raw data for publication "Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties"

en:
we assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

Study sites and experimental design
The 22 sites contributing to this project are part of the Nutrient Network Global Research Cooperative (NutNet, https://nutnet.umn.edu/). Mean annual temperature across our 22 sites ranged from -4 to 22°C, mean annual precipitation from 252 to 1,592 mm, and elevations from 6 to 4,261 m above sea level (Fig. 1, Supplementary Table S1). Soil organic C varied from 0.8 to 7.8%, soil total N from 0.1 to 0.6%, and the soil C:N ratio from 9.1 to 21.5. Soil clay content spanned from 3.0 to 35%, and soil pH from 3.4 to 7.6 (Supplementary Table S2). Thus, the sites covered a wide range of environments in which grasslands occur (Fig. 1, Supplementary Table S1 & S2).
At each site, the effects of nutrient addition and herbivore removal were tested via a randomized-block design (Borer et al., 2014; Supplementary Fig. S1a). Three replicate blocks with 10 treatment plots each were established at each site, with the exception of the site at bldr.us, where only two blocks were established (Supplementary Fig. S1a). The 10 plots were randomly assigned to a nutrient or fencing treatment, but only a subset of four plots was used in the current study, each with a different treatment (see below; Supplementary Fig. S1a). All plots were 5 x 5 m and divided into four 2.5 x 2.5 m subplots (Supplementary Fig. S1b). Each subplot was further divided into four 1 x 1 m square sampling plots, one of which was set aside for soil sampling (Borer et al., 2014; Supplementary Fig. S1b). Plots were separated by at least 1 m wide walkways.
In this study, we collected data from the following four treatments: (i) untreated control plots (Control), (ii) herbivore removal plots (Fence), (iii) plots fertilized with N, P, K, plus nine essential macro and micronutrients (NPK), and (iv) plots with simultaneous fertilizer addition and herbivore removal (NPK+Fence; Supplementary Fig. S1a). The number of years of treatment differed among sites (2 – 9 years since start of treatment; Supplementary Table S1). For the nutrient additions, all sites applied 10 g N m-2 yr-1 as time-release urea; 10 g P m-2 yr-1 as triple-super phosphate; 10 g K m-2 yr-1 as potassium sulfate. A micro-nutrient mix (Fe, S, Mg, Mn, Cu, Zn, B, Mo, Ca) was applied at 100 g m-2 together with K in the first year of treatments but not thereafter.
The vertebrate herbivore removal treatment (Fence) was established by fencing two plots, one control and one NPK plot, within each of the blocks (Supplementary Fig. S1a). We designed the fences so that they would effectively exclude aboveground mammalian herbivores with a body mass of over 50 g (Borer et al., 2014). At the majority of sites, the height of the fences was 180 cm, and the fence design included wire mesh (1 cm holes) on the first 90 cm along with a 30 cm outward-facing flange stapled to the ground to exclude burrowing animals; climbing and subterranean animals may potentially still access these plots (Borer et al., 2014). For slight modifications in fence design at a few sites see Supplementary Table S3. While most sites only had native herbivores, a few sites (4) were also grazed by domestic animals (Supplementary Table S1).
Potential and realized soil net N mineralization, ammonification, nitrification and other soil properties
Each site participating in the study received a package containing identical material from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) to be used for sampling and on-site N incubations. For the field incubation, we followed the protocol by Risch et al. (2015, 2019). Briefly, we drove a 5 x 15 cm (diameter x depth) steel cylinder 13.5 cm deep into the soil after clipping the vegetation at randomized locations in each plot. The top 1.5 cm of the cylinder remained empty to capture incoming N from run-off or deposition with a polyester mesh bag (mesh-size 250 µm) filled with 13.2 ± 0.9 g of acidic and alkaline exchanger resin (1:1 mixture; ion-exchanger I KA/ion-exchanger III AA, Merck AG, Darmstadt). The bag was fixed in place with a metal Seeger ring (Bruetsch-Rüegger Holding, Urdorf, Switzerland). We then removed 1.5 cm soil at the bottom of the cylinder and placed another resin bag to capture N leached from the soil column. The exchange resin was saturated with H+ and Cl- prior to filling the bags by stirring the mixture in 1.2M HCl for 1 h and then rinsing it with demineralized water until the electrical conductivity of the water reached 5 μS/cm. The cylinders were then re-inserted into the cored hole, level with the soil surface, and incubated for an average of 42 days (range 40 to 57days). The individual site coordinators chose the timing of incubation to start approximately six weeks prior to peak plant biomass production. All incubations were completed between February 2015 and January 2016 accounting for differences in growing season between northern and southern hemispheres. At the end of the incubation, the cylinders were re-collected and immediately shipped to WSL in an insulated box together with cold packs to halt further mineralization. Gloves were worn at all times to avoid contamination of the samples. Upon arrival at WSL, we extracted the resin bags and a 20 g subsample of sieved soil (4 mm) separately in a 100 ml PE-bottle with 80 ml 1 M KCl for 1.5 h on an end-over-end shaker and filtered through ashless folded filter paper (DF 5895 150, ALBET LabScience). We measured NO3- (colorimetrically; Norman & Stucki, 1981) and NH4+concentrations (flow injection analysis; FIAS 300, Perkin Elmer) on these filtrates.
At the start of the field incubation, we additionally collected two soil cores of 5 x 12 cm (diameter x depth) in each sampling plot and composited them to measure potential soil net Nmin, soil chemical and biological properties (see below). We also collected an additional sample (5 x 12 cm) to assess soil physical properties, which remained within the steel cylinder. Both ends were tightly closed with plastic caps. Cores were carefully packed to avoid further disturbance, and together with the composited soil samples, were shipped to the laboratory at WSL within a few days after collection.
From the composited samples, we extracted an equivalent of 20 g dry soil with KCl, as described above, and measured NO3- and NH4+concentrations. Realized soil net Nmin was then calculated as the difference between the inorganic N content of samples collected at the end of the incubation (plus N extracted from the bottom resin bag) and the N content at the beginning of the incubation; values were scaled to represent daily mineralization rates (mg N kg-1soil d-1; Risch et al., 2015). Realized soil net Nmin values represent an average period of 42 days prior to peak biomass, typically the highest period of biological activity, and not the entire year (Risch et al., 2019).
A second subsample of the composited sample was used to determine potential soil net Nmin in the laboratory (Risch et al., 2019). Briefly, we weighed duplicate samples (8 g dry soil) into 50-ml Falcon tubes. Soil moisture was brought to 60% of the field capacity of each plot, the Falcon tubes tightly closed and then incubated at 20°C for 42 days in a dark room. Every week the Falcon tubes were opened and ventilated. At the end of the incubation, the soil samples were extracted the same way as described above and NO3- and NH4+ was determined. Potential soil net Nmin was calculated as the difference between the N content before and after the incubation and scaled to represent daily values (mg N kg-1soil d-1). Using our NO3- and NH4+ measures we also calculated potential and realized soil net nitrification and soil net ammonification to be able to better understand the drivers of fertilization and herbivore removal effects on potential and realized soil net Nmin.
A third subsample of the composite soil sample was sieved (2 mm mesh) and microbial biomass (μg Cmic g-1 soil dry weight) was estimated by measuring the maximal respiratory response to the addition of glucose solution (4 mg glucose per g soil dry weight dissolved in distilled water; substrate-induced respiration method) on approximately 5.5 g of soil (Anderson & Domsch, 1978). The rest of the composited sample was dried at 65°C for 48 h, ground and sieved (2 mm mesh) to assess a series of soil chemical properties (Risch et al., 2019). We measured the percentage of clay as an indicator of soil texture (Gee & Bauder, 1986; Risch et al., 2019).
Statistical analyses
Potential and realized soil net Nmin were square root transformed to account for a highly skewed data distribution (yt = sign(y)*sqrt|y|; negative values in the data set impeded log transformation). To assess treatment effects on potential and realized soil net Nmin, we used linear mixed effects models (LMMs) fitted by maximum likelihood using the lme function from the nlme package (version 3.131.1; Pinheiro et al., 2016), R version 3.6.1; R Foundation for Statistical Computing. Treatment (Control, Fence, NPK, NPK+Fence) was a fixed factor, with site and block as random factors, where block was nested within site. We also tested for effects of time since start of treatments in preliminary analyses by adding total treatment years as an additional fixed factor. We did not find a significant effect of years of treatment, and thus dropped this variable from the models. The LMMs were corrected using varIdent if the homogeneity of variance criterion was not met (Pinheiro et al., 2016). To visualize our results, we calculated treatment effects using Cohens’ d statistic (Cohen, 1977; Koricheva et al., 2013). Note that calculating response ratios (or log response ratios) was not possible with our data, as we have both negative and positive values. We also fitted LMMs for potential and realized soil net ammonification and nitrification to gain more insight into how global change affects the processes underpinning potential and realized soil net Nmin. We also sqrt-transformed (see above) these dependent variables. Treatment was included as a fixed factor with random factors as described above. In addition, we assessed how potential and realized soil net Nmin were related to potential and realized soil net ammonification and nitrification, respectively. For this, we calculated site averages for each treatment separately. We then ran LMMs, with potential and realized soil net Nmin as the dependent variable, potential and realized soil net ammonification/nitrification as the independent ones. Site was included as a random factor.
Based on our previous work (Risch et al., 2019) and the existing literature (Schimel & Bennett, 2004; Liu et al., 2017), we developed a priori causal conceptual models of relationships among treatments, environmental drivers, and potential and realized soil net Nmin (Supplementary Fig. S2) to test with structural equation modelling (SEM) using a d-sep approach (Shipley, 2009; Lefcheck, 2016). The variables included in the model were long-term climatic conditions, specifically, site-level mean annual precipitation (MAP) and temperature of the wettest quarter (T.q.wet), plot-level soil texture (clay content) and soil microbial biomass. Mean annual precipitation and T.q.wet were obtained from WorldClim (Hijmans et al., 2005) (http://www.worldclim.org/) and together with the experimental treatments were predicted to directly affect soil properties and soil net Nmin (Supplementary Fig. S2). Soil clay content was, in turn, predicted to affect microbial biomass and soil net Nmin. Because we determined microbial biomass prior to incubating the samples in the laboratory or field, we assumed that the abundance of these microbes would be responsible for N process rates and not vice versa (Supplementary Fig. S2). We tested our conceptual model (Supplementary Fig. S2) using the piecewiseSEM package (version 2.0.2; Lefcheck, 2016) in R 3.4.0, in which a structured set of linear models are fitted individually. This approach allowed us to account for the nested experimental design, and overcome some of the limitations of standard structural equation models, such as small sample sizes (Shipley, 2009; Lefcheck, 2016). We used the lme function of the nlme package to model response variables, including site as a random factor. Good fit of the SEM was assumed when Fisher’s C values were non-significant (p > 0.05). For all significant interactions between covariates and experimental treatments detected in the SEMs, we calculated treatment effect sizes, i.e. the differences in potential or realized soil net Nmin between Control and treatments (Fence, NPK, NPK+Fence) and plotted these values against the climate or soil covariates. Finally, we fitted LMMs for the soil variables included in our SEMs, with treatment as the fixed factor, and with site and block as random factors, where block was nested within site.

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology

Please cite this paper together with the citation for the datafile.

We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil

en: Anthropogenic change and soil net N mineralization


maintainer: Leonie Schönbeck

en: acclimation vpd photosynthesis pinus-sylvestris gas-exchange fluorescence drought

en: Pfynwald gas exchange

en:
Full dataset of Pfynwald gas exchange data taken in the period from June 2013 to October 2020.
All metdata can be found in attached documents.
Data uploaded after quality control using guidelines by Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Variable names and units

en: Variable names, description and units for the Pfynwald Gas exchange data

en: Methods light response

en: Methods and parameters for light response curves

en: Methods survey

en: Parameters and methods for point measurements / survey measurements

en: Methods diurnal measurements

en:
Parameters and methodology for diurnal measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods ACi curves

en:
Parameters and methods for CO2 response curves of Photosynthesis.

Metatdata format by
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Instrument details

en:
Instrument details for all LiCor instruments used during collection of dataset.

Metatdata created following guidelines from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods fluorescence

en:
Parameters and methodology for Fluorescence measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en:
Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds.
All metadata can be found in the attached documents.

acclimation

display_name: acclimation

drought

display_name: drought

fluorescence

display_name: fluorescence

gas-exchange

display_name: gas-exchange

photosynthesis

display_name: photosynthesis

pinus-sylvestris

display_name: pinus-sylvestris

vpd

display_name: vpd

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: 2013-2020 gas exchange at Pfynwald


en: drought-2018 growth-reaction-to-drought-stress leaf-senescence forests european-summer-drought fagus-sylvatica

en: Drought and Beech: 1000 beeches data set

en: The data set comprises data from the Drought and Beech 1000 beeches project. The actual data file with monitoring data of 963 beech trees in northern Switzerland over four years (Drought_and_Beech_1000beeches_Data_v1.0.csv), a metadata file with column descriptions (Drought_and_Beech_1000beeches_Legend_v1.0.csv), and a file defining the different survey periods (Drought_and_Beech_1000beeches_Survey_periods_v1.0.csv).

en: This study investigated multi-year drought impacts on beech forests through a unique large-scale monitoring of 963 individual beech trees, which showed either premature leaf discoloration during the drought in summer 2018 or no visible damage. We conducted the study in two highly drought-affected regions in northern Switzerland and one less drought-affected region located further south. We quantified the development of crown dieback and tree mortality as well as secondary drought damage, i.e. the presence of bleeding cankers and bark beetle infestations, in these trees for three consecutive years. We also determined the impact of several potential climate- and stand-related (predisposing) factors on mortality and drought legacy processes.

european-summer-drought

display_name: european-summer-drought

fagus-sylvatica

display_name: fagus-sylvatica

forests

display_name: forests

growth-reaction-to-drought-stress

display_name: growth-reaction-to-drought-stress

leaf-senescence

display_name: leaf-senescence

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Data on multi-year drought impacts on European beech in northern Switzerland


maintainer: Yves Bühler

en: uav orthophoto drone-data photogrammetry wingtra snow-depth-mapping dsm

en: Data Access

en:
- DSM (10 cm resolution)
- Ortho (3 cm resolution)
- HS (10 cm resolution)
- original RGB drone images
- Agisoft Metashape Processing Report

All products are also available as a cloud optimized geotiff.

en: To map and assess snow depth on different dates, 9 flights were conducted in the winter season of 2020/21 at the Latschüelfurgga in Davos. The data was captured with a Sony RX1R II mounted on a Wingtra drone and was processed with the Agisoft Metashape software. High-resolution DSMs, orthomosaics and snow height rasters, as well as the original RGB images from each flight are available.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Latschuelfurgga


maintainer: Matthias Haeni

en: long-term climate-change par precipitation wind-speed relative-humidity meteorology swiss-forest-lab temperature meteo

en: Site aerial photo (Nationalpark)

en: Site aerial photo from both Nationalpark stations. Source: Google. 2016. Site aerial photo from both Nationalpark stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Field station data (NAF)

en: Data file.

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

en: Data plot of the field station (NAF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Forest station data (NAB)

en: Data plot of the forest station (NAB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Nationalpark, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Yaquan Chang

en: phytodiversity hypervolume model-residuals habitat-heterogeneity hengduan-mountains

en: Plant range map at Hengduan scale

en: This is the plant range map at the Hengduan mountain scale based on species distribution model, elevation, and county level distribution information

en: Hengduan plant family richness map

en: This is the family level plant richness map in the Hengduan mountain scale at 1km resoution

en: HDM heterogeneity scales

en: The Heterogeneity matrics in the Hengduan mountain scale

en: Eurasia SR and heteorgeneity

en: This table is used for the Eurasia scale analyses, including both family level species richness map and different heterogeneity predictors

en: Eurasia plant family richness map

en: This is the plant family level richness map at the Eurasia scale calculated from https://www.nature.com/articles/s41597-021-00997-6

en: This research data is used to re includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions. This research data includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions.

habitat-heterogeneity

display_name: habitat-heterogeneity

hengduan-mountains

display_name: hengduan-mountains

hypervolume

display_name: hypervolume

model-residuals

display_name: model-residuals

phytodiversity

display_name: phytodiversity

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan


en: relative-humidity meteorology swiss-forest-lab temperature meteo long-term climate-change par precipitation wind-speed

en: Data plot of the field station (VSF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Field station data (VSF)

en: Data file.

en: Site photo of the forest station (VSB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Site photo of the field station (VSF)

en: Site photo of the field station from the side.

en: Forest station data (VSB)

en: Data plot of the forest station (VSB)

en: Site aerial photo (Visp)

en: Site aerial photo from both Visp stations. Source: Google. 2016. Site aerial photo from both Visp stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Visp, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Christoph Marty

en: Graubunden input

en: Grid input data for the 'Graubunden' CH2014 simulation.

mimetype: application/x-tar

en: Aare input

en: Grid input data for the 'Aare' CH2014 simulation.

en: CH2014 REPORT

en:
CH2014-Impacts: Toward Quantitative Scenarios of Climate Change Impacts in Switzerland

The CH2014-Impacts report presents the results of a concerted effort of 15 Swiss research institutions to describe impacts of climate change in Switzerland quantitatively. This dataset contributes to the Crosphere/Snowcover section.

en: Dataset

en: Datasets are grouped under experiment "Aare" and "Graubunden".Data is also made available in netCDF format. A range of tools are available to [read netCDF](http://www.unidata.ucar.edu/software/netcdf/software.html).

en:
 Overview

The CH2014-Impacts initiative is a concerted national effort to describe impacts of climate change in Switzerland quantitatively, drawing on the scientific resources available in Switzerland today. The initiative links the recently developed Swiss Climate Change Scenarios CH2011 with an evolving base of quantitative impact models. The use of a common climate data set across disciplines and research groups sets a high standard of consistency and comparability of results. Impact studies explore the wide range of climatic changes in temperature and precipitation projected in CH2011 for the 21st century, which vary with the assumed global level of greenhouse gases, the time horizon, the underlying climate model, and the geographical region within Switzerland. The differences among climate projections are considered using three greenhouse gas scenarios, three future time periods in the 21st century, and three climate uncertainty levels (Figure 1). Impacts are shown with respect to the reference period 1980-2009 of CH2011, and add to any impacts that have already emerged as a result of earlier climate change.

 Experimental Setup

Future snow cover changes are simulated with the physics-based model Alpine3D (Lehning et al., 2006). It is applied to two regions: The canton of Graubünden and the Aare catchment. These domains are modeled with a Digital Elevation Model (DEM) with a resolution of 200 m × 200 m. This defines the simulation grid that has to be filled with land cover data and downscaled meteorological input data for each cell for the time period of interest at hourly resolution. The reference data set consists of automatic weather station data. All meteorological input parameters are spatially interpolated to the simulation grid. The reference period comprises only thirteen years (1999–2012), because the number of available high elevation weather stations for earlier times is not sufficient to achieve unbiased distribution of the observations with elevation. The model uses projected temperature and precipitation changes for all greenhouse gas scenarios (A1B, A2, and RCP3PD) and CH2011 time periods (2035, 2060, and 2085).

 Data

Snow cover changes are projected to be relatively small in the near term (2035) (Figure 5.1 top), in particular at higher elevations above 2000 m asl. As shown by Bavay et al. (2013) the spread in projected snow cover for this period is greater between different climate model chains (Chapter 3) than between the reference period and the model chain exhibiting the most moderate change. In the 2085 period much larger changes with the potential to fundamentally transform the snow dominated alpine area become apparent (Figure 5.1 bottom). These changes include a shortening of the snow season by 5–9 weeks for the A1B scenario. This is roughly equivalent to an elevation shift of 400–800 m. The slight increase of winter precipitation and therefore snow fall projected in the CH2011 scenarios (with high associated uncertainty) can no longer compensate for the effect of increasing winter temperatures even at high elevations. In terms of Snow Water Equivalents (SWE), the projected reduction is up to two thirds toward the end of the century (2085). A continuous snow cover will be restricted to a shorter time period and/or to regions at increasingly high elevation. In Bern, for example, the number of days per year with at least 5 cm snow depth will decrease by 90% from now 20 days to only 2 days on average.

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Alpine3D simulations of future climate scenarios CH2014


en: landslides pressure-perturbations landslide-testsite tramm pore-water cces

en: TRAMM Ruedlingen data

en: TRAMM project data from the Ruedlingen site (exp 1 + 2). Measured parameters include soil suction, water level, soil volumetric water content, rain intensity, and soil temperature.

en:
A landslide testsite dataset related to pore water pressure perturbations on the stability of unsaturated silty sand slopes leading to the initiation and propagation of the shear deformations and eventual rapid mass movements. This project was initiated and led by the Institute of Geotechnical Engineering (IGT) of the Swiss Federal Institute of Technology (ETH Zurich) and was incorporated in a Swiss national (TRAMM) and a European Union (SafeLand) multidisciplinary research project. Field site: The experimental slope is 7.5 m wide by 35 m long, located in the Swiss lowlands on an east facing slope over-looking the river Rhine, at an altitude of ~ 350 masl. Originally there were forestry covertures of circa 80%, heights of 5-20 m. Shrubs up to 1-5 m high and a free herb layer covered ~ 50% of the surface. The average gradient was determined to be from 38° to 43° with a slightly concave surface. The underlying rock consists mainly of Molasse, which is formed by alternate layers of sea deposits under the Tethys Sea (Seawater Molasse) and land deposits (Freshwater Molasse). Several augured samples, as well as an outcrop of the bedrock about 20 m above the selected field, revealed horizontal layering of fine grained sand- and marlstone at the test site. The sandstone was later proven to be highly permeable and fissured. Grain-size distributions were determined and the soil was classified as medium-low plasticity silty sand. Site instrumentation:Measurements of soil suction, groundwater level, soil volumetric water content, rain intensity and soil temperature were taken and combined with geophysical monitoring using Electrical Resistance Tomography (ERT) and investigations into subsurface flow by means of tracer experiments. Deformations were monitored during the experiment, both on the surface via photogrammetrical methods and within the soil mass, using a flexible probe equipped with strain gauges at different points and two axis inclinometers on the top and acoustic sensors. Instruments were installed mainly in three clusters at depths of 15, 30, 60, 90, 120, and 150 cm below the ground surface over the slope, including jet-fill tensiometers, TDRs, Decagon TDRs, piezometers, soil temperature sensors, deformation probes, earth pressure cells, acoustic sensors and rain gauges. A ring-net barrier (provided by Geobrugg AG) was set up at the foot of the slope to protect the road. Experiments: A sprinkling experiment was carried out in September 2008 to investigate the hydrological and mechanical response of the slope (Experiment 1), followed by a second one to trigger a landslide in March 2009 (Experiment 2).

Publications

1. Lehmann, P., F. Gambazzi, B. Suski, L. Baron, A. Askarinejad, S. M. Springman, K. Holliger, and D. Or (2013), Evolution of soil wetting patterns preceding a hydrologically induced landslide inferred from electrical resistivity survey and point measurements of volumetric water content and pore water pressure, Water Resour. Res., 49, 7992–8004, doi:[10.1002/2013WR014560](http://dx.doi.org/10.1002/2013WR014560).

2. Springman, S. M., Kienzler, P., Casini, F., & Askarinejad, A. (2009). Landslide triggering experiment in a steep forested slope in Switzerland. In 17th International Conference of Soil Mechanics and Geotechnical Engineering, Alexandria, Egypt (pp. 1698-1701). doi: [10.3233/978-1-60750-031-5-1698](http://dx.doi.org/10.3233/978-1-60750-031-5-1698)

cces

display_name: cces

landslide-testsite

display_name: landslide-testsite

landslides

display_name: landslides

pore-water

display_name: pore-water

pressure-perturbations

display_name: pressure-perturbations

tramm

display_name: tramm

en: TRAMM project Ruedlingen experimental landslide dataset, Switzerland


en: water-supply water-scarcity water-demand climate-change reservoirs

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which estimates of water supply, demand, and reservoir volumes are provided. The OBJECTID entry corresponds to the catchment ID which is used as a reference in the other datasets provided.

en: Reservoir volumes

en: Reservoir volume for the 307 medium-sized catchments for different storage categories: natural lakes, artificial reservoirs, reservoirs for artificial snow production, drinking water reservoirs, and usable volumes of natural lakes. Unit: Mio m³. One column per catchment (see shapefile).

en: Water supply

en: Simulated discharge series for a reference period 1981-2010 and till the end of the century. Data are provided for 39 climate model chains and a control run based on the observed meteorology. Data are provided at daily resolution (mm/d).

en: Water demand (deprecated)

en:
Warning: please use the corrected version 2, since this file contains errors for certain categories such as Livestock, Industry or Houshold.

Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

en: Water demand version 2 (corrected version)

en:
The dataset Hydro-CH2018 reservoirs provides estimates of current and future water supply, water demand, and storage volumes for 307 medium-sized catchments in Switzerland.
Water supply for current (1981-2010) and future (2070-2099) climate conditions was simulated using the hydrological model PREVAH. For modeling current water supply, observed meteorological time series were used as input, while simulated meteorological time series derived from 39 model chains of the CH2018 initiative were used as an input for simulating future climate conditions.

Water demand was estimated for six categories:

- 1) Drinking water (households and tourism),
- 2) industry (second and third sector),
- 3) artificial snow production,
- 4) agriculture (irrigation and livestock feeding),
- 5) ecology (residual flows), and
- 6) hydropower.

Future estimates consider changes in demand related to population growth and changes in the hydrological conditions.
Storage volumes are provided for natural lakes (storage capacities and usable volumes), artificial reservoirs, reservoirs for artificial snow production, and drinking reservoirs.

A detailed description of the simulation and estimation procedures can be found in

*  Brunner, M.I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., Stähli, M., 2019. Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes. Sci. Total Environ. 666, 1033–1047. https://doi.org/10.1016/j.scitotenv.2019.02.169.

This dataset contains the following information:

1.	Shapefile with the 307 medium-sized Swiss catchments.
2.   Textfiles with the water supply simulations for the control run and the 39 climate model chains (one file per chain) at daily resolution for the 307 catchments.
3.	Textfiles with the current and future demand estimates per category at monthly resolution for the 307 catchments.
4.	Textfiles with the storage volumes per category and catchment.

climate-change

display_name: climate-change

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply

en: Hydro-CH2018 reservoirs


en: precipitation-amount air-temperature cmip5 climate-change orographic-precipitation

en: Data Access

en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.

CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: High resolution monthly precipitation and temperature timeseries for the period 2006-2100


maintainer: James W. Kirchner

en: streamflow catchment deuterium stable-water-isotopes precipitation chloride plynlimon tracer

en: Data Set Documentation

en: This file contains a documentation of the data sets, including references to other helpful documentations.

en: 7-hourly stable water istopes

media_type: text/plain

en: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).

format: TXT

mimetype: text/plain

en: Weekly stable water isotopes

en: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).

en: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

streamflow

display_name: streamflow

tracer

display_name: tracer

en: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK


en: spruce picea-abies forest cryogenic-extraction soil-water critical-zone xylem-water beech ecohydrology hydrogen-isotopes europe oxygen-isotopes water-isotopes isotopes fagus-sylvatica hydrology

en: Dataset containing the metadata of the sampling sites, including site-, soil-, tree-specific information.

en: Dataset containing information about sample weights, cryogenic water extraction and the actual hydrogen and oxygen isotope data of the study.

en: All canopy pictures in one ZIP file.

en: WATSON_Canopy_Pictures (individual JPG files)

en: All canopy pictures as individual files.

en: Dataset containing the information on the canopy cover.

en: Here, we present a comprehensive isotope dataset of soil and stem xylem water collected during two pan-European sampling campaigns in spring and summer 2023. The dataset includes samples from 40 forest sites featuring beech (Fagus sylvatica), spruce (Picea abies), or mixed beech-spruce forests, and is supplemented with detailed site-specific, soil-specific, and tree-specific metadata. Samples and metadata were collected by various researchers across Europe following a standardized protocol. Soil samples were taken at up to five depths (ranging from 0 to 90 cm), and stem xylem samples were collected from three beech and/or spruce trees at each site. All samples were sent to a single laboratory for analysis, where water was extracted using cryogenic vacuum distillation and analyzed with an isotope laser spectrometer. Additionally, a subset of the samples underwent analysis with an isotope ratio mass spectrometer. The complete description of the data can be found in a publication in Earth System Science Data (in review).

beech

display_name: beech

critical-zone

display_name: critical-zone

cryogenic-extraction

display_name: cryogenic-extraction

ecohydrology

display_name: ecohydrology

europe

display_name: europe

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

hydrogen-isotopes

display_name: hydrogen-isotopes

hydrology

display_name: hydrology

isotopes

display_name: isotopes

oxygen-isotopes

display_name: oxygen-isotopes

picea-abies

display_name: picea-abies

soil-water

display_name: soil-water

spruce

display_name: spruce

water-isotopes

display_name: water-isotopes

xylem-water

display_name: xylem-water

en: Soil and stem xylem water isotope data from two pan-European sampling campaigns


maintainer: Sven-Eric Hopf

en: iap forest ash-dieback monitoring fraxinus

en: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

en: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)

en:
In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)

ash-dieback

display_name: ash-dieback

fraxinus

display_name: fraxinus

iap

display_name: iap

monitoring

display_name: monitoring

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.


en: imis snow-water-equivalent snow-temperatures snow-height weissfluhjoch enet

en: DATA ACCESS

en:
Station WFJ2: merged IMIS + ENET datasets. Provides parameters height of snow, snow surface temperatures and snow temps at 0, 1, 1.5 m above ground surface. Supporting meteo data are also contained in this dataset.

fields      = timestamp TA RH TSG TSS HS VW DW VW_MAX OSWR PSUM VW_DRIFT DW_DRIFT TS1 TS2 TS3 HTS1 HTS2 HTS3

en: This dataset provides HS, TSS and TS50, TS100, TS150 at the station WFJ2 situated on the Weisfluhjoch research site (2536 m asl). It has been created from merging ENET and IMIS datsets to form a continuous timeseries from 1992- present. ENET is at 1 h resolution whereas IMIS is 30 min. This is a level 2 dataset as defined [here](http://models.slf.ch/p/dataset-processing/).

enet

display_name: enet

imis

display_name: imis

snow-height

display_name: snow-height

snow-temperatures

display_name: snow-temperatures

snow-water-equivalent

display_name: snow-water-equivalent

weissfluhjoch

display_name: weissfluhjoch

en: WFJ2: Snow measurements from the Weissfluhjoch research site, Davos


en: network-analysis habitat-fragmentation metaweb trophich trophic-networks robustness food-webs

en:
This resource is broken down into two sections: 01 simulations and 02 analyses
In the 01 simulations section, the program which run the simulations for the paper is provided. It is prepared such that it can be easily run on a cluster. Please note that the results folder is empty, as they would have included 108,000 csv files. Instead, the summarised version is available in the next section.
In the 02 analyses section, all code needed to recreate the analyses and figures from the paper are provided.
Please refer to the separate README.txt files for each section for further information.

en:
This dataset contains all processed data, simulation outputs, and R/Python scripts used to assess the robustness of regional multi-habitat food webs in Switzerland under various non-random species extinction scenarios. It accompanies the manuscript submitted to Communications Biology, and available as a preprint here:
Reji Chacko, M, Albouy, C., Altermatt, F., et al. Decreases in the robustness of regional food webs to sequential species extinctions following habitat loss, 04 December 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-5225132/v1]
Please note that the most up-to-date version of the simulations code is available here: https://github.com/mrejichacko/casCHades

food-webs

display_name: food-webs

habitat-fragmentation

display_name: habitat-fragmentation

metaweb

display_name: metaweb

network-analysis

display_name: network-analysis

robustness

display_name: robustness

trophic-networks

display_name: trophic-networks

trophich

display_name: trophich

en: Simulation data and analyses of regional food web robustness under habitat loss


en: urban-ecology insects urban-biodiversity birds biodiversity fungal-pathogen fungi urban

en: Data tables including individual bird data with biometry, prey species from faecal samples, and fungi species from swab samples.

en:
We captured birds in urban parks and peri-urban forests in the cities of Lugano and Zurich. The urban sites were located in an urban forest (Lugano) and in a cemetery (Zurich), and the bird assemblages were comparable with those of the surrounding forests.
We captured individual birds during sessions lasting multiple days using mist-nets, concentrating the activities within 3-4 hours after sunrise and before sunset. We extracted birds from nets using single-use nitrile gloves and gently wiped their body parts with a dry foam swab MW940 (Medical Wire & Equipment), which was then placed in a screw-capped tube (2 ml), which was previously filled with 1 ml ethanol puriss. (Sigma-Aldrich) under sterile conditions.Then, we marked each bird with an alphanumeric leg band, identified the species, determined the sex and age whenever possible, measured for relevant biometrics (e.g. wing chord), the amount of body fat and pectoral muscle (i.e. body condition), and weighed.
Afterwards, we placed each bird in a disposable paper bag within a cotton bag that ensured respiration and left it for few minutes in a safe and calm place to allow for defecation and the collection of faecal samples. The faecal sample was collected from insectivorous and omnivorous birds, and few granivorous birds that are known to occasionally eat invertebrates, such as the house sparrow Passer domesticus.
After releasing the bird, we stored the faecal sample in a screw-capped tube (2 ml), which was previously filled with 1 ml ethanol puriss. (Sigma-Aldrich) under sterile conditions. We wore single-use nitrile gloves and used sterile toothpicks to collect solid samples. The tubes were initially stored in the refrigerator during the field campaign and no later than seven days after collection at -20°C until prepared for DNA extraction.
DNA extraction and library preparation was performed at WSL Phytopathology facilites, Sequencing was performed at Lausanne Genomic Technologies Facility (University of Lausanne; [https://wp.unil.ch/gtf/](https://wp.unil.ch/gtf/)) on an AVITI benchtop sequencing system (Element Biosciences). Bioinformatics was performed at the Genetic Diversity Center (ETH Zurich) using a custom pipeline.

biodiversity

display_name: biodiversity

birds

display_name: birds

fungal-pathogen

display_name: fungal-pathogen

fungi

display_name: fungi

insects

display_name: insects

urban

display_name: urban

urban-biodiversity

display_name: urban-biodiversity

urban-ecology

display_name: urban-ecology

en: Urban bird capture data with prey species and fungal community


irkis-soil-moisture-measurements-davos

maintainer: Nander Wever

title_for_slug: irkis-soil-moisture-measurements-davos

en: meteorological-measurements soil-moisture dischma-catchment davos meteo-station

en: IRKIS soil moisture data (zip file)

en: Compressed archive (zip) containing soil moisture measurements, as well as meteorological measurements and interpolated meteorological time series.

en:
Meteorological and soil moisture measurements from soil moisture stations installed from October 2010 - October 2013 in the area surrounding Davos, in particular in the Dischma catchment.

There are in total 7 stations: 1202, 1203, 1204, 1205, 222, 333 and SLF2. For each of the stations, there is a:

* vwc_[stn].smet: containing the soil moisture measurements

* station_[stn].smet: in-situ measured meteorlogical parameters. Note, the quality of these measurements for stations 1202, 1203, 1204 and 1205 is very low, with data gaps. Use this data with care. For stations 222, 333 and SLF2, data quality is high and only the default cautiousness should be applied.

* interpolatedmeteo_[stn].smet contains per stations a dataset derived by interpolating from several stations in the Davos area to the stations location. This dataset was generated from the output of the Alpine3D model, of which simulations are presented in the Wever et al. (2017) manuscript.

At the soil moisture measurement sites, Decagon 10HS sensors were installed, at 10, 30, 50, 80 and 120 cm depth. Per depth 2 sensors were installed, labelled A and B in the datafiles. Note that at stations 1203, 1204 and 1205, sensors were only installed at 10, 30 and 50 cm depth.

The files follow the SMET format: https://models.slf.ch/docserver/meteoio/SMET_specifications.pdf and metadata for the stations can be found in the header of the smet files.

Please cite the Wever et al. (2017) reference when using this data in publications.

For a more detailed description, please refer to: Wever, N., Comola, F., Bavay, M., and Lehning, M.: Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment, Hydrol. Earth Syst. Sci., 21, 4053-4071, https://doi.org/10.5194/hess-21-4053-2017, 2017.

davos

display_name: davos

dischma-catchment

display_name: dischma-catchment

meteo-station

display_name: meteo-station

meteorological-measurements

display_name: meteorological-measurements

soil-moisture

display_name: soil-moisture

en: IRKIS Soil moisture measurements Davos


maintainer: Matthias Bürgi

en: agriculture land-use-modelling scenarios pathways land-change

en: This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model according to the Agricultural Futures Framework (AFF) scenarios.

en:
This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model and according to the Agricultural Futures Framework (AFF) scenarios.

Three scenarios are included:
- Land for Food and Land for Nature (LFLN)
- Land as Culture (LaC)
- Land for Society (LfS)

agriculture

display_name: agriculture

land-change

display_name: land-change

land-use-modelling

display_name: land-use-modelling

pathways

display_name: pathways

scenarios

display_name: scenarios

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: AFF agricultural land change scenarios in Europe 2015-2050


maintainer: Thorsten Bartels-Rausch

en: snow antartic arctic polar sea-salt-aerosol cryosphere laboratory-study

en: Experimental Results: Uptake coefficients vs. temperature and ozone concentration

en:
* Final Data to Figure 3: Uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.
* Final Data to Figure 6: Uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

The average ozone uptake coefficients of the three cycles between the bypass and the flow tube per repeat is taken as the mean uptake coefficient for each experiment. Gamma was corrected for gas phase diffusion limitation following the Cooney–Kim– Davis (CKD) method52 (see supporting material of publication for details).

en: Experimental results of uptake coefficient vs. temperature and ozone concentration

en:
Data to Figure 3: Measured uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.

Data to Figure 6: Measured uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

en: The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere.

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow

en: Kinetic experiments on the oxidation of bromide by ozone from 289-245 K.