fr: genre causes deces

de: ursachen geschlecht todesfalle

fr: Causes principales de décès, dès 1995 (json)

de: Häufigste Todesursachen, ab 1995 (json)

fr: Causes principales de décès, dès 1995 (n3)

de: Häufigste Todesursachen, ab 1995 (n3)

fr: Causes principales de décès, dès 1995 (rdfxml)

de: Häufigste Todesursachen, ab 1995 (rdfxml)

de: xlsx

fr: Causes principales de décès, dès 1995 (xlsx)

de: Häufigste Todesursachen, ab 1995 (xlsx)

de: jsonld

fr: Causes principales de décès, dès 1995 (jsonld)

de: Häufigste Todesursachen, ab 1995 (jsonld)

de: csv

fr: Causes principales de décès, dès 1995 (csv)

de: Häufigste Todesursachen, ab 1995 (csv)

fr: Causes principales de décès, dès 1995 (turtle)

de: Häufigste Todesursachen, ab 1995 (turtle)

de: parquet

fr: Causes principales de décès, dès 1995 (parquet)

de: Häufigste Todesursachen, ab 1995 (parquet)

fr: Causes principales de décès, dès 1995 (jsonl)

de: Häufigste Todesursachen, ab 1995 (jsonl)

fr: Le jeu de données fournit des informations sur les principales causes de décès enregistrées dans le canton de Fribourg, ventilées par année et par genre. Les données proviennent de l'Office fédéral de la statistique (OFS).Les valeurs manquantes sont représentées par un tiret ("-").

de: Der Datensatz liefert Informationen zu den wichtigsten im Kanton Freiburg registrierten Todesursachen, aufgeschlüsselt nach Jahr und Geschlecht. Die Daten stammen vom Bundesamt für Statistik (BFS).Fehlende Werte werden durch einen Bindestrich ("-") dargestellt.

causes

display_name: causes

deces

display_name: deces

genre

display_name: genre

geschlecht

display_name: geschlecht

todesfalle

display_name: todesfalle

ursachen

display_name: ursachen

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

heal

fr: Santé

de: Gesundheit

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: Causes principales de décès, dès 1995

de: Häufigste Todesursachen, ab 1995


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

fr: logements commune batiments vacants constructions

de: gemeinde wohnungen gebaude leerstehende bau

author: ssd

state: active

type: dataset

media_type: text/csv

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (csv)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (csv)

format: CSV

de: jsonl

media_type: application/json

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (jsonl)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (jsonl)

format: JSON

de: json

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (json)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (json)

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (parquet)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (parquet)

format: PARQUET

de: turtle

media_type: text/turtle

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (turtle)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (turtle)

format: RDF Turtle

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (jsonld)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (jsonld)

format: JSON-LD

de: rdfxml

media_type: application/rdf+xml

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (rdfxml)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (rdfxml)

format: RDF XML

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (n3)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (n3)

fr: Logements vacants selon la mise à disposition sur le marché et le nombre de pièces, dès 1995 (xlsx)

de: Leerstehende Wohnungen nach Art der Transaktion und Anzahl Zimmer ab 1995 (xlsx)

format: XLS

fr: Ce jeu de données présente les logements vacants, selon le type de transaction 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 Transaktionsart und Zimmeranzahl ab 1995.Anmerkungen: Die statistischen Daten von fusionierenden 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.

batiments

display_name: batiments

bau

display_name: bau

commune

display_name: commune

constructions

display_name: constructions

gebaude

display_name: gebaude

gemeinde

display_name: gemeinde

leerstehende

display_name: leerstehende

logements

display_name: logements

vacants

display_name: vacants

wohnungen

display_name: wohnungen

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

de: ssd

ssd

fr: Service de la statistique et de la donnée Fribourg

de: Amt für Statistik und Daten Freiburg

en: Statistics and Data Service Fribourg

it: Servizio Statistiche e Dati Friburgo

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.

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: genre age nationalite commune deces

de: gemeinde nationalitat geschlecht alter todesfalle

de: xlsx

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (xlsx)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (xlsx)

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (rdfxml)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (rdfxml)

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (n3)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (n3)

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (jsonl)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (jsonl)

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (json)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (json)

de: parquet

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (parquet)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (parquet)

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (turtle)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (turtle)

de: csv

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (csv)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (csv)

de: jsonld

fr: Décès, par genre, nationalité et classe d'âge par commune, dès 1969 (jsonld)

de: Todesfälle nach Geschlecht, Staatsangehörigkeit, Altersklasse und Gemeinde ab 1969 (jsonld)

fr: Ce jeu de données présente les décès, par genre, nationalité et classe d'âge par commune, dès 1969.

de: Dieser Datensatz zeigt Todesfälle nach Geschlecht, Nationalität und Altersklasse pro Gemeinde ab 1969.

age

display_name: age

alter

display_name: alter

nationalitat

display_name: nationalitat

nationalite

display_name: nationalite

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

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: sante subsides assurance-maladie primes

de: pramienverbilligung pramien gesundheit krankenversicherung

de: turtle

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (turtle)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (turtle)

de: jsonl

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (jsonl)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (jsonl)

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (jsonld)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (jsonld)

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (n3)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (n3)

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (csv)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (csv)

de: rdfxml

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (rdfxml)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (rdfxml)

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (xlsx)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (xlsx)

de: json

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (json)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (json)

fr: Réduction des primes dans l'assurance obligatoire des soins (AOS), dès 1996 (parquet)

de: Prämienverbilligung in der obligatorischen Krankenpflegeversicherung (OKP), seit 1996 (parquet)

fr: Ce jeu de données présente les chiffres relatifs aux subsides pour la réduction des primes dans l'assurance obligatoire des soins (AOS), pour le canton de Fribourg et l'ensemble de la Suisse, depuis 1996. Il contient des informations sur le nombre de bénéficiaires de subsides et le taux de bénéficiaires en % de l'effectif moyen des assurés, ainsi que sur le montant total alloué aux subsides en millions de francs avec les parts supportées respectivement par le(s) canton(s) et par la Confédération (en %) et la contribution moyenne par bénéficiaire.

de: Dieser Datensatz enthält Zahlen zu den Prämienverbilligungen in der obligatorischen Krankenpflegeversicherung (OKP) für den Kanton Freiburg und die gesamte Schweiz seit 1996. Er enthält Informationen über die Anzahl der Bezüger von Prämienverbilligungen und den Anteil der Bezüger in % des durchschnittlichen Versichertenbestands sowie über den Gesamtbetrag der Prämienverbilligungen in Millionen Franken mit den Anteilen (in %), die jeweils vom Kanton/von den Kantonen und vom Bund getragen werden, und den durchschnittlichen Beitrag pro Bezüger.

assurance-maladie

display_name: assurance-maladie

gesundheit

display_name: gesundheit

krankenversicherung

display_name: krankenversicherung

pramien

display_name: pramien

pramienverbilligung

display_name: pramienverbilligung

primes

display_name: primes

sante

display_name: sante

subsides

display_name: subsides

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

de: ssd

ssd

de: Amt für Statistik und Daten Freiburg


fr: canton votations

de: abstimmungen kanton

fr: Votations cantonales fribourgeoises, dès 2015 (jsonl)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (jsonl)

fr: Votations cantonales fribourgeoises, dès 2015 (json)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (json)

de: turtle

fr: Votations cantonales fribourgeoises, dès 2015 (turtle)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (turtle)

de: parquet

fr: Votations cantonales fribourgeoises, dès 2015 (parquet)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (parquet)

fr: Votations cantonales fribourgeoises, dès 2015 (n3)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (n3)

de: csv

fr: Votations cantonales fribourgeoises, dès 2015 (csv)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (csv)

de: jsonld

fr: Votations cantonales fribourgeoises, dès 2015 (jsonld)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (jsonld)

de: xlsx

fr: Votations cantonales fribourgeoises, dès 2015 (xlsx)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (xlsx)

fr: Votations cantonales fribourgeoises, dès 2015 (rdfxml)

de: Kantonale Abstimmungen in Freiburg, ab 2015 (rdfxml)

fr: Ce jeu de données présente les résultats des votations cantonales au niveau du canton dès 2015.

de: Dieser Datensatz enthält die Ergebnisse der kantonalen Volksabstimmungen auf Kantonsebene ab 2015.

abstimmungen

display_name: abstimmungen

canton

display_name: canton

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

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.


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

de: freiburger-konjunkturspiegel betreibungsamter konjunkturindikatoren bezirk schuldbetreibungen

fr: Poursuites, par mois, dès 1994 (csv)

de: Betreibungen pro Monat ab 1994 (csv)

fr: Poursuites, par mois, dès 1994 (parquet)

de: Betreibungen pro Monat ab 1994 (parquet)

fr: Poursuites, par mois, dès 1994 (xlsx)

de: Betreibungen pro Monat ab 1994 (xlsx)

de: rdfxml

fr: Poursuites, par mois, dès 1994 (rdfxml)

de: Betreibungen pro Monat ab 1994 (rdfxml)

de: jsonl

fr: Poursuites, par mois, dès 1994 (jsonl)

de: Betreibungen pro Monat ab 1994 (jsonl)

fr: Poursuites, par mois, dès 1994 (jsonld)

de: Betreibungen pro Monat ab 1994 (jsonld)

de: json

fr: Poursuites, par mois, dès 1994 (json)

de: Betreibungen pro Monat ab 1994 (json)

fr: Poursuites, par mois, dès 1994 (n3)

de: Betreibungen pro Monat ab 1994 (n3)

fr: Poursuites, par mois, dès 1994 (turtle)

de: Betreibungen pro Monat ab 1994 (turtle)

fr: Ce jeu de données présente les chiffres mensuels des poursuites, par district du canton de Fribourg, depuis 1994.

de: Dieser Datensatz enthält die monatlichen Betreibungszahlen, nach Bezirken des Kantons Freiburg, seit 1994.

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

poursuites

display_name: poursuites

schuldbetreibungen

display_name: schuldbetreibungen

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

de: ssd

ssd

de: Amt für Statistik und Daten Freiburg


fr: exportations prix-de-vente situation-beneficiaire situation-des-affaires capacite-technique position-concurrentielle prix-dachat conjoncture-fribourgeoise indicateurs-conjoncturels

de: technische-kapazitaten freiburger-konjunkturspiegel geschaftslage wettbewerbsposition einkaufspreise konjunkturindikatoren ausfuhren verkaufspreise ertragslage

de: xlsx

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (xlsx)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (xlsx)

de: csv

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (csv)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (csv)

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (json)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (json)

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (n3)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (n3)

de: parquet

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (parquet)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (parquet)

de: jsonld

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (jsonld)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (jsonld)

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (jsonl)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (jsonl)

de: turtle

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (turtle)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (turtle)

fr: Indicateurs trimestriels pour l'ensemble de l'industrie, dès 1988 (rdfxml)

de: Vierteljährliche Indikatoren für die Industrie insgesamt ab 1988 (rdfxml)

fr: Ce jeu de données présente les réponses au questionnaire trimestriel de l'enquête conjoncturelle du KOF dans l'industrie manufacturière, du canton de Fribourg et de la Suisse, depuis 1988.

de: Dieser Datensatz enthält die Antworten auf den vierteljährlichen Fragebogen der KOF-Konjunkturumfrage in der verarbeitenden Industrie, im Kanton Freiburg und in der Schweiz, seit 1988.

ausfuhren

display_name: ausfuhren

capacite-technique

display_name: capacite-technique

einkaufspreise

display_name: einkaufspreise

ertragslage

display_name: ertragslage

exportations

display_name: exportations

geschaftslage

display_name: geschaftslage

position-concurrentielle

display_name: position-concurrentielle

prix-dachat

display_name: prix-dachat

prix-de-vente

display_name: prix-de-vente

situation-beneficiaire

display_name: situation-beneficiaire

situation-des-affaires

display_name: situation-des-affaires

technische-kapazitaten

display_name: technische-kapazitaten

verkaufspreise

display_name: verkaufspreise

wettbewerbsposition

display_name: wettbewerbsposition

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: energie carburant voitures

de: treibstoff energie personenwagen

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (xlsx)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (xlsx)

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (parquet)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (parquet)

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (jsonld)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (jsonld)

de: json

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (json)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (json)

de: rdfxml

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (rdfxml)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (rdfxml)

de: jsonl

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (jsonl)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (jsonl)

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (turtle)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (turtle)

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (n3)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (n3)

fr: Voitures de tourisme, par type de carburant/énergie, dès 2017 (csv)

de: Personenwagen nach Treibstoffart/Energie ab 2017 (csv)

fr: Ce jeu de données présente les voitures de tourisme, par type de carburant/énergie, dès 2017.

de: Dieser Datensatz enthält die Personenwagen nach Treibstoffart/Energie ab 2017.

carburant

display_name: carburant

energie

display_name: energie

personenwagen

display_name: personenwagen

treibstoff

display_name: treibstoff

voitures

display_name: voitures

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

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: enseignement commune eleves

de: gemeinde schuler unterricht

de: parquet

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (parquet)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (parquet)

de: turtle

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (turtle)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (turtle)

de: xlsx

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (xlsx)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (xlsx)

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (jsonl)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (jsonl)

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (json)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (json)

de: jsonld

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (jsonld)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (jsonld)

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (rdfxml)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (rdfxml)

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (n3)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (n3)

de: csv

fr: Elèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010 (csv)

de: Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010 (csv)

fr: Ce jeu de données présente le nombre d'élèves, par degré d'enseignement (dénombrés au domicile), par commune, dès 2010.

de: Dieser Datensatz enthält die Anzahl Schüler nach Schulstufe (am Wohnort gezählt) nach Gemeinde ab 2010.

commune

display_name: commune

eleves

display_name: eleves

enseignement

display_name: enseignement

gemeinde

display_name: gemeinde

schuler

display_name: schuler

unterricht

display_name: unterricht

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

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: EnviDat Support

en: hymenoptera urban-ecology life-history-traits cities urbanization hymennoptera natural-enemies cavity-nesting richness performance-traits wasps bees

en: Information on the study sites

en: For each site, the IDs, city, coordinates, structure where the trapnest was attached and height is provided

en: Taxonomic metrics on CNBW

en:
The data contains at the site level the species richness of cavity-nesting bees and wasps. It also contains site level estimates of the life-history traits and the performance traits.

We calculated species richness, abundance, and number of nests of the hatched hosts separately for bees and wasps. We calculated the abundance of hatched hosts as the number of brood cells where an individual emerged, i.e. the total number of brood cells minus the number of parasitized cells and the number of cells with no emergence for reasons other than parasitism.

City codes: An =Antwerp, Pa = Paris; Po = Poznan; Ta =Tartu; Zu= Zurich

format: SERVICE

en: Taxonomic metrics on the natural enemies

en: It contains the species richness and the abundance of natural enemies per site.

en: Predictors of the study

en: Performance traits and life-history traits

en:
It contains the data of two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts) at the nest level.

We assessed performance traits, i.e. survival and parasitism, at the individual cell level. Specifically, for each cell within a nest, we noted whether the cell was alive or dead (survival), and whether it had a parasite or not (parasitism). Further, we calculated the parasitism rate as the number of cells with a parasite divided by the total number of cells. Concerning life-history traits, we calculated the total number of brood cells per nest as the total number of brood cells within a single nest, regardless of whether the larvae were dead, alive or parasitized. Finally, we used the probability that a femalehost emerged from a given cell as a proxy for the sex ratio. To do so, we first identified the sex of the individual hosts. Then, we noted it in a binary way to indicate whether the host was a female or not. We could identify the sex of all hatched hosts. Further, because CNBW first lay females and then males, on some occasions we could also identify the host sex in dead and parasitized cells, that is, when we had already identified the sex of the preceding and the following cells.

en:
 Background
Urban ecosystems are associated with socio-ecological conditions that can filter and promote taxa. However, the strength of the effect of ecological filtering on biodiversity could vary among biotic and abiotic factors. Here, we provide the data used to investigate the effects of habitat amount, temperature, and host-enemy biotic interactions in shaping communities of cavity-nesting bees and wasps (CNBW) and their natural enemies. To do so, we installed trap-nests in 80 sites distributed along urban intensity gradients in 5 European cities (Antwerp, Paris, Poznan, Tartu and Zurich). We quantified the species richness and abundance of CNBW hosts and their natural enemies, as well as two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts).
The dataset contains:
* The taxonomic metrics on CNBW
* The taxonomic metrics on the natural enemies from CNBW
* The life-history traits and performance traits

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

cities

display_name: cities

hymennoptera

display_name: hymennoptera

hymenoptera

display_name: hymenoptera

life-history-traits

display_name: life-history-traits

natural-enemies

display_name: natural-enemies

performance-traits

display_name: performance-traits

richness

display_name: richness

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wasps

display_name: wasps

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: Community structure, life-history traits and performance traits of urban cavity-nesting bees annd wasps


aerosol-data-davos-wolfgang

title_for_slug: aerosol-data-davos-wolfgang

en: aerosol inp particles ice-nucleation drincz raclets

en: OPC GT-526S Dataset Davos Wolfgang

en: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

mimetype: text/csv

en: DRINCZ Dataset Davos Wolfgang

en: The DRINCZ file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en: SMPS Dataset Davos Wolfgang

en: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity), in a temporal resolution of 2 minutes, with time in UTC, measured at Davos Wolfgang.

mimetype: application/x-netcdf

en: OPC-N3 Dataset Davos Wolfgang

en: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

en: APS Dataset Davos Wolfgang

en: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Davos Wolfgang.

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.

Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0).

Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³).

Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³).

Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

drincz

display_name: drincz

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

particles

display_name: particles

raclets

display_name: raclets

en: Aerosol Data Davos Wolfgang


maintainer: Manuel R. Popp

en: testing photo plant-species vascular-plants species-observations

media_type: application/zip

en:
Zipped directory containing approximately 5'600 photographs of vascular plants from the Swiss flora, taken at 153 sampling locations. Sampling locations were assigned a TypoCH habitat type.
Folder structure:
 - Each folder represents a plant population, defined by the same species, sampling date, and location.
 - Higher-level directories organize populations observed within the same sampling plot.
Naming convention:
Each image is names img_<index>_<plant organ>.jpg whereby <index> is the number of the photograph within the folder. For each observed population, images have consecutive integers as index. <plant organ> is a single letter indicating the depicted part(s) of the plant:
b = bark
i = inflorescense
f = infructescense
s = several parts
v = vegetative parts

format: ZIP

en:
This data set contains roughly 5600 photographs of plants and plant parts from 153 sites recorded in all major biogeographic regions of Switzerland using smartphone cameras. Image names contain a letter referring to depicted plant parts: b = bark, i = inflorescence, f = infructescense, s = several parts, v = vegetative parts.
Photos are grouped in folders by observation (individual or population), i.e., photos in the same folder are of the same species, observed at the same time and sampling plot. At a higher organisational level, these folders are grouped by sampling plot (usually 3×3 m in open areas and 10×10 m in forests). The main folder contains metadata including taxon name, sampling time and location, as well as the TypoCH habitat type encoded as integers.
This data set accompanies the following publication:
Popp, M. R., Zimmermann, N. E. & Brun, P. Evaluating the use of automated plant identification tools in biodiversity monitoring—a case study in Switzerland. _Ecological Informatics_ **103316** (2025) doi:[10.1016/j.ecoinf.2025.103316](https://doi.org/10.1016/j.ecoinf.2025.103316).

photo

display_name: photo

plant-species

display_name: plant-species

species-observations

display_name: species-observations

testing

display_name: testing

vascular-plants

display_name: vascular-plants

educ

en: Education, culture and sport

en: Photos of vegetative and reproductive parts of 560 vascular plant species taken in all biogeographic regions of Switzerland


en: bettergardens pollinator-experiment symphytum-officinale gardens green-spaces onobrychis-viciifolia urban-biodiversity zurich raphanus-sativus garden-experiment urban-ecology daucus-carota better-gardens urbanisation plant-pollinator-interactions pollination plant-insect-interaction

en:
This repository includes all data presented in the preprint as part of the first submission to Data in Brief:
Reji Chacko, M., Moretti, M., and Frey, D. (2025). A comprehensive dataset on pollinator diversity, visitation rates, individual-based traits, and pollination success across four plant species in an urban garden experiment. EcoEvoRxiv. https://doi.org/10.32942/X2J645
The repository contains eight directories, organised as follows:
data/
├── 01_metadata/  Detailed descriptions of each dataset in this repository
│  └── data_description.xlsx
├── 02_sampling_protocol/  Field sampling protocols in German (original) and English (translation)
│  ├── protocol_english.pdf
│  └── protocol_german.pdf
├── 03_site_data/  Garden site coordinates
│  └── garden_site_coordinates.csv
├── 04_taxonomic_data/  Taxonomic checklist of observed species
│  └── taxa_checklist.csv
├── 05_field_data/  Raw field sampling data
│  └── raw_sampling_data.xlsx
├── 06_trait_data/  Individual-level traits and flower visitation matrix
│  ├── individual_traits.csv
│  └── species_temporal_flower_visitation_matrix.csv
├── 07_pollination_success/  Seed and fruit set per phytometer species
│  ├── daucus_carota_seed_set.csv
│  ├── onobrychis_viciifolia_fruit_set.csv
│  ├── raphanus_sativus_fruit_set.csv
│  ├── raphanus_sativus_seed_set.csv
│  ├── symphytum_officinale_fruit_set.csv
│  └── symphytum_officinale_seed_set.csv
├── 08_scripts/  R scripts to reproduce figures and Table 2 from the paper
│  ├── figure_1.R
│  ├── figure_2.R
│  ├── figure_3.R
│  ├── figure_4.R
│  └── table_2.R
└── README.txt
Note: The metadata Excel file contains a separate sheet describing each dataset, so individual file descriptions are not repeated here.

en: This dataset contains detailed records of pollinator communities and plant reproductive outcomes from an urban garden experiment in Zurich, Switzerland. It includes flower visitation frequency and pollinator species richness for four insect-pollinated plant species observed across 24 home gardens. The dataset spans 167 pollinator taxa, with over 5,700 individuals identified, mostly to species or genus level. It features individual-level trait measurements for pollinators, such as body size and tongue lengths. Measures of pollination success, including seed and fruit set, are provided for each plant species.

better-gardens

display_name: better-gardens

bettergardens

display_name: bettergardens

daucus-carota

display_name: daucus-carota

garden-experiment

display_name: garden-experiment

gardens

display_name: gardens

green-spaces

display_name: green-spaces

onobrychis-viciifolia

display_name: onobrychis-viciifolia

plant-insect-interaction

display_name: plant-insect-interaction

plant-pollinator-interactions

display_name: plant-pollinator-interactions

pollination

display_name: pollination

pollinator-experiment

display_name: pollinator-experiment

raphanus-sativus

display_name: raphanus-sativus

symphytum-officinale

display_name: symphytum-officinale

urban-biodiversity

display_name: urban-biodiversity

urbanisation

display_name: urbanisation

zurich

display_name: zurich

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: Comprehensive dataset of pollinator diversity and visitation rates with individual-based traits and pollination success across four urban garden plant species


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

en: automatic-publication data-portal data-usage data-exchange gcw

en: Data interoperability survey

en: Third party data usage

en: Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

en: Global Cryosphere Watch data survey


maintainer: Marcus Schaub

en: drought diameter-at-breast-height swiss-forest-lab crown-condition tree irrigation scots-pine dbh forest tree-species lwf

en: Swiss Forest Health Inventory

media_type: text/html

format: HTML

mimetype: text/html

en: Dataset

en: Long-term Irrigation	Experiment Pfynwald homepage

en: Site photo 3

en: Shapefile	of measurement location

en: Site photo 1

en: Site photo 2

en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

en: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland


maintainer: Markus Schlegel

en: spore-dispersal air-sampling environmental-dna monitoring metabarcoding

en: Data files and analysis scripts (Version 2)

en: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of macrofungi". Please refer to README.pdf inside the archive for more information.

en: Data files and analysis scripts (Version 1)

en: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of fungi". Please refer to README.pdf inside the archive for more information.

mimetype: application/zip

en:
Resources associated with the manuscript *A case study on the application of spore sampling for the monitoring of macrofungi* ([Schlegel et al. 2024](https://doi.org/10.1111/1755-0998.13941)).
Airborne environmental DNA (eDNA) monitoring of fungi was evaluated on a species-rich grassland site. Extensive fruiting body surveys yielded 29 waxcap and clavarioid species, 19 of which were also detectable in air eDNA. The analysis indicates that spores of locally occurring fruiting bodies were detected, in addition to a large diversity of common fungal species, while rare and threatened species were under-represented in the air.
*Version 1* of the dataset was submitted during the review phase. *Version 2* contains minor changes and clarifications, and is up to date with the [published supplement](https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1755-0998.13941&file=men13941-sup-0001-AppendixS1.pdf) of the study.
The contents of the ZIP archive:
* analysis scripts in [R-Markdown](https://rmarkdown.rstudio.com) format, including the rendered PDF output with figures and tables (*analysis* directory)
* eDNA sample metadata (*amplicon_meta*) and results of the amplicon clustering (*amplicon_data*) and the source code of the pipeline (*amplicon_pipeline*)
* positions of all fruiting body groups found in the surveys (3838 GPS points) (*surveys*)
* positions of the spore traps, taxonomy of studied grassland fungi and red-list species, and many more resources
Please refer to `README.pdf` inside the archive for a complete description of the file structure and information on how to reproduce the analyses.

air-sampling

display_name: air-sampling

environmental-dna

display_name: environmental-dna

metabarcoding

display_name: metabarcoding

monitoring

display_name: monitoring

spore-dispersal

display_name: spore-dispersal

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: Supporting information for case study on the application of spore sampling for the monitoring of macrofungi


en: picea-abies subalpine afforestation belowground-biomass isotopes

en: This data set provides soil organic carbon, total nitrogen, and stable carbon isotope (13C) values of mineral soil (0-45cm), organic horizons (Oi, Oe, Oa), and root biomass of an afforestation sequence (0-130years) on a subalpine pasture in Jaun, Switzerland.

afforestation

display_name: afforestation

belowground-biomass

display_name: belowground-biomass

isotopes

display_name: isotopes

picea-abies

display_name: picea-abies

subalpine

display_name: subalpine

en: Soil organic carbon stock of an afforestation sequence on a subalpine pasture


en: geometrical elasticity fem microstructure x-ray-tomography crystallographic anisotropy

en:
The study aims to determine the effective elastic properties of snow, firn, and bubbly ice based on microstructural quantities. Anisotropy, one of these quantities (the other being ice volume fraction) in snow and ice, has two types: geometrical and crystallographic, resulting in snow's macroscopic anisotropic elastic behavior. The research focuses on the impact of geometrical anisotropy on potential ice volume fractions in snow and ice. 391 micro-CT images from various locations, including laboratories, the Alps, the Arctic, and Antarctica, were analyzed to achieve this.
 The analysis involved microstructure-based finite element simulations, which inherently consider microstructure and calculate the elasticity tensor. Hashin-Shtrikman bounds were utilized to predict the elastic properties of the microstructure samples. These bounds effectively captured the nonlinear interplay between geometrical anisotropy, captured by the Eshelby tensor and density. HS bounds have the advantage of the correct limiting behavior for low to high-ice volume fractions.
 We derived parameterization for five transversely isotropic elasticity tensor components, requiring only two free parameters. This parameterization was valid for ice volume fractions ranging from 0.06 to 0.93. The analysis employing the Thomsen parameter highlighted the dominance of geometrical anisotropy until an ice volume fraction of 0.7. However, to fully comprehend the elasticity of bubbly ice, a comprehensive approach is necessary to integrate coupled elastic theories that account for both geometrical and crystallographic anisotropy.
This dataset includes a Jupyter notebook with all the necessary functions required to predict the elasticity tensor of snow for the given ice volume fraction and anisotropy. Also, the code contains the least squares optimization function to compute the elasticity tensor for the six components of stress and strain. For example, we consider our dataset to calculate the samples' elasticity tensor and reproduce Fig. 7 from the paper. We take the stress and strain values obtained from load states as input for this example.
Also, a .csv file contains all the microstructural information: ice volume fraction, anisotropy, correlation functions, voxels size, and no. of voxels of the samples and the elasticity tensor obtained from finite element simulations and from present work parameterization.

anisotropy

display_name: anisotropy

crystallographic

display_name: crystallographic

elasticity

display_name: elasticity

fem

display_name: fem

geometrical

display_name: geometrical

microstructure

display_name: microstructure

x-ray-tomography

display_name: x-ray-tomography

en: Effective, anisotropic elasticity tensor of snow, firn, and bubbly ice


en: speed2zero agri-pv sweet-edge alpine-pv plane-of-array solar-irradiance rooftop-pv

en:
Contains seasonal and annual statistics (mean, sum) of the CH-POA300 dataset.
- "yyyy_agg_period_hourly_stat.nc": statistic <stat> for the period <agg_period> of the year <yyyy>
- "all_agg_period_stat_mean.nc": statistic <stat> for the period <agg_period> reduced on the entire dataset (all years).
\
yyyy: [2009, 2019]
agg_period: [winter, summer, annual]
stat: [mean, sum]

media_type: application/pdf

en: This document provides an in-depth description of the CH-POA300 dataset. It includes methodology and validation details.

format: PDF

en:
CH-POA300 is a set of maps of hourly solar irradiance projected onto oriented tilted surfaces, similar to monofacial solar panels, at a spatial resolution of 300m over Switzerland. Two temporal extents are available depending on the number of computed projections, i.e. azimuths and tilts combinations:
 1. Long term
 - Temporal extent: 2009-2019
 - Azimuths x Tilts: [180°] x [0°,35°,60°,90°]
 2 .Typical year
 - Temporal extent: 2016
 - Azimuths x Tilts: [0°,90°,135°,180°,225°,270°] x [0°,3°,8°, 15°, 25°, 35°, 45°, 60°, 80°, 90]
NB: Azimuth: 0°: N, 90°: E, 180°: S, 270°: W. Tilt: 0°: vertical, 90°: horizontal.
Pre-computed seasonal and annual statistics of these maps are also provided in the dataset.
Details on the method and the quality assessment can be found in the specifications (CH-POA300-v#-specs.pdf).

agri-pv

display_name: agri-pv

alpine-pv

display_name: alpine-pv

plane-of-array

display_name: plane-of-array

rooftop-pv

display_name: rooftop-pv

solar-irradiance

display_name: solar-irradiance

sweet-edge

display_name: sweet-edge

en: CH-POA300 -- Hourly Plane-of-Array Solar Irradiance at High Resolution for Switzerland


maintainer: Michael Eisenring

en: alan phytochemistry european-beech insect-herbivores light-pollution

en: Raw_data_Ceppi et al..xlsx

en: Raw data for the Publication Ceppi et al. 2025 in Journal of Applied Ecology: ARTIFICAL NIGHT LIGHT INTENSITY MODULATES HERBIVORY AND PHYTOCHEMISTRY IN EUROPEAN BEECH

en: Raw data on plant morphological traits, phytochemistry and herbivory that were analyzed in the study entitled: Artificial night light intensity modulates herbivory and phytochemistry in European beech

alan

display_name: alan

european-beech

display_name: european-beech

insect-herbivores

display_name: insect-herbivores

light-pollution

display_name: light-pollution

phytochemistry

display_name: phytochemistry

en: Raw data - Artificial night light intensity modulates herbivory and phytochemistry in European beech


maintainer: Joan Casanelles Abella

en: hylaeus-communis osmia-bicornis cavity-nesting-bees chelostoma-florisomne osmia-cornuta trap-nest antwerp dna-metabarcoding zurich plant-pollinator-interactions paris poznan tartu urban-ecology

en: Explanation data variables

en: Larval food composition

en: Information on the study sites

en: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided

en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich

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: Larval food composition of four wild bee species in five European cities


en: meteorological-data europe climate-change fire mountains forest-fire climate european-alps climate-indicators indicator-values

en: Data access

en: This dataset contains the Fire Weather Index for Hydrological Bavaria from 1980 - 2099 as stated in the paper "Climate change impacts on regional fire weather in heterogeneous landscapes of Central Europe" published in Natural Hazards and Earth System Sciens (NHESS) 2023. The dataset contains daily Fire Weather Index values for all 50 members (subfolders of the dataset) of the CRCM5-LE (11 km spatial resolution) from 1980 to 2099 over the domain of Hydrological Bavaria. Please cite this dataset as the publication: Miller, J., Böhnisch, A., Ludwig, R., & Brunner, M. I. (2023). Climate change impacts on regional fire weather in heterogeneous landscapes of Central Europe. Natural Hazards and Earth System Sciences Discussions, 1-25. doi: 10.5194/nhess-2023-51.

climate

display_name: climate

climate-change

display_name: climate-change

climate-indicators

display_name: climate-indicators

europe

display_name: europe

european-alps

display_name: european-alps

fire

display_name: fire

forest-fire

display_name: forest-fire

indicator-values

display_name: indicator-values

meteorological-data

display_name: meteorological-data

mountains

display_name: mountains

en: Fire Weather Index for Hydrological Bavaria from 1980-2099 derived from the 50 member CRCM5-LE


maintainer: James W. Kirchner

en: arma-noise de-mixing irfnnhsr greens-function time-series-analysis nonlinear-deconvolution irf impulse-response-function deconvolution system-identification transfer-function

en: Impulse Response Function script

en: Benchmark demonstration scripts and results

en: README file for IRFnnhs.R and benchmark demonstration scripts

en:
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.

Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.

arma-noise

display_name: arma-noise

de-mixing

display_name: de-mixing

deconvolution

display_name: deconvolution

greens-function

display_name: greens-function

impulse-response-function

display_name: impulse-response-function

irf

display_name: irf

irfnnhsr

display_name: irfnnhsr

nonlinear-deconvolution

display_name: nonlinear-deconvolution

system-identification

display_name: system-identification

time-series-analysis

display_name: time-series-analysis

transfer-function

display_name: transfer-function

en: Impulse response functions for nonlinear nonstationary and heterogeneous systems


en: drone-data antarctica sea-ice snow spatial-variability polar

en:
Data of snow and sea ice in the McMurdo Sound, October-December 2022. The data was collected as part of the New Zealand Marsden Fund Research Grant 21-VUW-103 "Can Snow Change the Fate of Antarctic Sea Ice?"
The dataset includes raw data of the manual snow and sea ice measurements from snow pits and ice cores (temperature, density, salinity, dO18), measurements of snow water equivalent (SWE), spatial information of snow height (MagnaProbe) and sea ice thickness (EM-31), AWS (air temperature, wind speed, wind direction, relative humidity, pressure), radiations stations (shortwave, longwave, thermal IR, spectral shortwave), differential GPS data (3 fixed stations on different sea ice thicknesses, + 1 rover station for georeferencing UAV measurements), SIMBA buoy temperature (+heated temperature) data (3 buoys during November, 1 buoy for 15 months), UAV data: RGB, thermal IR, broadband albedo, spectral albedo, Chlorophyll-a from ice cores (bottom 10 cm), NIR reflectivity data of snow at 850 nm, and 940 nm (snow surface, profile, ice surface), photographs (1. overview of field sites, 2. for Structure from Motion for surface roughness, 3. macrophotos of snow) surface impurity concentrations, microCT data of snow microstructure, Denoth probe (density) and InfraSnow (specific surface area - SSA).
See the README file in each dataset for detailed information.

antarctica

display_name: antarctica

drone-data

display_name: drone-data

polar

display_name: polar

sea-ice

display_name: sea-ice

snow

display_name: snow

spatial-variability

display_name: spatial-variability

en: Snow on Antarctic Sea Ice - McMurdo Sound 2022


maintainer: Dirk Nikolaus Karger

en: iucn interannual-climate-variability amphibians climate-variablity mammals range-maps niche-models species-distribution-models generalized-additive-models generalized-linear-models chelsa sdm reptiles random-forests

en: File containing the record dimension, genus, and species of the respective netcdf files

en: Amphibians

en: Species distribution models based on different climate predictor groups

en: File containing the climate predictors as SAGA grid files (.sgrd)

en: Reptiles

media_type: text/plain

en: Readme file containing the file naming convention, file dimensions, and variable names

format: TXT

en: Mammals

en: We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.

amphibians

display_name: amphibians

chelsa

display_name: chelsa

climate-variablity

display_name: climate-variablity

generalized-additive-models

display_name: generalized-additive-models

generalized-linear-models

display_name: generalized-linear-models

interannual-climate-variability

display_name: interannual-climate-variability

iucn

display_name: iucn

mammals

display_name: mammals

niche-models

display_name: niche-models

random-forests

display_name: random-forests

range-maps

display_name: range-maps

reptiles

display_name: reptiles

sdm

display_name: sdm

species-distribution-models

display_name: species-distribution-models

educ

en: Education, culture and sport

en: Global species distributions for mammals, reptiles, and amphibians


maintainer: Stephan Zimmermann

en: beech mass-balance nutrient sustainability soil

en: With this study, our aim was to estimate the nutrient fluxes relevant for assessing nutrient sustainability as accurately as possible and to calculate nutrient balances for alternative forest management scenarios. Furthermore, we tested whether mapping units from existing geologic maps can serve as a basis for forest practitioners to estimate nutrient sustainability or whether more detailed data is needed. Positive fluxes include deposition and weathering, while negative fluxes include losses due to leaching and nutrient removal through timber harvesting in the balance. Weathering and leachate losses were modeled with a geochemical model. The SwissStandSim model was used to simulate the biomass growth under different harvesting and silvicultural strategies, allowing sustainability to be assessed for each nutrient at a given intensity of use. This assessment was made per rotation period of 100 years based on two criteria: i) nutrient supply; and ii) total stocking volume.

beech

display_name: beech

mass-balance

display_name: mass-balance

nutrient

display_name: nutrient

soil

display_name: soil

sustainability

display_name: sustainability

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: Nutrient sustainability in beech forests


weather-station-klosters

maintainer: Maxime Hervo

title_for_slug: weather-station-klosters

en: klosters weather temperature wind raclets precipitation

en: Weather Station Klosters

en: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.

en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

klosters

display_name: klosters

precipitation

display_name: precipitation

raclets

display_name: raclets

temperature

display_name: temperature

weather

display_name: weather

wind

display_name: wind


maintainer: Jana von Freyberg

en: stream-water stable-water-isotope catchment hydrology precipitation alptal

en: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley

en:
Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality

en: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2

en: Documentations contains meta data of the data columns and information about the study catchments.

en: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.

alptal

display_name: alptal

catchment

display_name: catchment

hydrology

display_name: hydrology

stable-water-isotope

display_name: stable-water-isotope

stream-water

display_name: stream-water

en: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments


biogas-aus-hofdunger-in-der-schweiz

title_for_slug: biogas-aus-hofdunger-in-der-schweiz

en: bioenergy review switzerland manure biogas

en: Biogas aus Hofdünger in der Schweiz

en: Ziel dieses Whitepapers ist es, Entscheidungsträgern, Verwaltungen und Stakeholdern die aktuellsten Forschungsergebnisse zur Verfügung zu stellen, um die optimale Nutzung von Bioenergie aus Hofdünger in der Schweizer Energiewende zu fördern. Zu diesem Zweck werden die Ergebnisse des Schweizer Kompetenzzentrums für Bioenergieforschung - SCCER BIOSWEET - zusammengefasst und in einem breiteren Kontext dargestellt. Wenn nichts anderes erwähnt wird, beziehen sich die Ergebnisse auf die Schweiz und im Falle der Ressourcen auf die heimischen Biomassepotenziale.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

educ

en: Education, culture and sport


en: topography built-up-classification spatial-modelling nature-conservation forest-gain land-use-and-cover-change forest-persistence planning-outcome basic-services urban-sprawl urban-compactness urban-morphology

en: isolated

en: New built-up pixels classified as isolated

format: GeoTIFF

en: slope

en: Slope °

en: Ecological-Economic Zoning (EEZ)

format: SHP

en: Increase in waste collection service

en: Master plan Ubatuba (zones)

en: Mean income in Reais (R$) per census sector (change per year)

en: Increase in Normalized Difference Vegetation Index

en: Descricao dos dados em portiuguês

en: Portugues description

en: Increase in clean water provision service

en: Native forest cover gains from 2005 to 2015

en: Urban persistence: Built-up 2005 = Built-up 2015

en: Human Development Index (HDI) per municipality (change per year)

en: Native forest cover persistence from 2005 to 2015

en: Population density per pixel (change per year)

en: Increase in sanitation service

en: Variables description

en: Table of content. Variables description, source, and other important information

en: Topographic Index Position (TPI)

en:
Basic education in % per census sector (change per
year)

en: Master plan Ihabela (zones)

en: Axial

en: New built-up pixels classified as axial

en: Permanent housing density increase

en: infill

en: New built-up pixels classified as infill

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

built-up-classification

display_name: built-up-classification

forest-gain

display_name: forest-gain

forest-persistence

display_name: forest-persistence

land-use-and-cover-change

display_name: land-use-and-cover-change

nature-conservation

display_name: nature-conservation

planning-outcome

display_name: planning-outcome

spatial-modelling

display_name: spatial-modelling

topography

display_name: topography

urban-compactness

display_name: urban-compactness

urban-morphology

display_name: urban-morphology

envidat

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: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


en: climate-change graubunden alpine3d-simulations switzerland snow

en: Simulation data

en: Reference data as well as the 2050 and 2099 scenarios for ARPEGE and ETHZ other RCMs available on demand)

en: Configuration file

en:
This is the simulation dataset from _"Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland"_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources 55, 4-16, 2013

A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models.

The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095.

Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation.

climate-change

display_name: climate-change

graubunden

display_name: graubunden

snow

display_name: snow

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Alpine3D simulations of future climate scenarios for Graubunden


en: database forest-fire zenodo smouldering lightning-location-system holdover

en: This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of the database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.

database

display_name: database

forest-fire

display_name: forest-fire

holdover

display_name: holdover

lightning-location-system

display_name: lightning-location-system

smouldering

display_name: smouldering

zenodo

display_name: zenodo

en: Database on holdover time of lightning-ignited wildfires


en: land-use-change strategic-spatial-planning strategic-projects spatial-planning land-use-transformations europe urban-transformations large-scale-urban-development-projects

en: QCA data set large-scale urban development projects

en: Please refer to the sections: 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalization in the Metadata for further details on this resource.

mimetype: text/plain

en: QCA R script large-scale urban development projects Europe

en:
For the set up of this R script, we used the “QCA” (Duşa, 2019) and “SetMethods” (Oana and Schneider, 2018) R packages.

The following further resources were also used:
Dusa, A. (2019). QCA with R: A comprehensive resource. Springer: Berlin.
Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences. A guide to qualitative comparative analysis. Cambridge: Cambridge University Press.
Thomann, E., Oana, I.-E., & Wittwer, S. (2018). Performing fuzzy- and crisp set QCA with R. A user-oriented beginner's guide. Retrieved from http://www.evathomann.com/links/qca-r-manual

en:
Table of Content: 1. General context of the data set "lsUDPs" ; 2. Background and aims of the study using the data set lsUDPs; 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalisation

1. General context of the data set "lsUDPs"
The data set "lsUDPs" has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2020. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, strategic spatial plans) into quantitative land-change modelling approaches at the urban regional level. The first stage (2016-2017) of the CONCUR project focussed on 21 urban regions in Western Europe. The urban regions were selected through a multi-stage strategy for empirical research (see Hersperger, A. M., Grădinaru, S., Oliveira, E., Pagliarin, S., & Palka, G. (2019). Understanding strategic spatial planning to effectively guide development of urban regions. Cities, 94, 96–105. https://doi.org/10.1016/j.cities.2019.05.032 ).

2. Background and aims of the study using the data set lsUDPs
As part of the CONCUR project, a specific task was to examine the relationship between strategic spatial plans and the formulation and implementation (i.e. urban land change) of large-scale urban development projects in Western Europe.
Strategic urban projects are typically large-scale, prominent urban transformations implemented locally with the aim to stimulate urban growth, for instance in the form of urban renewals of deprived neighborhoods, waterfront renewals and transport infrastructures. While strategic urban projects are referred to in the literature with multiple terms, in the CONCOR project we call them large-scale urban development projects (lsUDPs).
Previous studies acknowledged both local and supra-local (or structural) factors impacting the context-specific implementation of lsUDPs. Local governance factors, such as institutional capacity, coordination among public and private actors and political leadership, intertwine with supra-local conditions, such as state re-scaling processes and devolution of state competencies in spatial planning, de-industrialisation and increasing social inequality. Hence, in implementing lsUDPs, multi-scalar factors act in combination.
Because the formulation and implementation of lsUDPs require multi-scalar coordination among coalitions of public and private actors over an extended period of time, they are generally linked to strategic spatial plans (SSPs). Strategic spatial plans convey collective visions and horizons of action negotiated among public and private actors at the local and/or regional level to steer future urban development, and can contain legally binding dispositions, but also indicative guidelines.
The key question remains as to what extent large-scale urban development projects and strategic spatial plans can be regarded as aligned. By alignment, or “concordance”, we mean that strategic projects are formulated and implemented as part of the strategic planning process (“high concordance”), or that the strategic role of projects is reconfirmed in (subsequent) strategic plans (“moderate concordance”). Lack of concordance is found when lsUDPs have been limitedly (or not at all) acknowledged in strategic spatial plans.
We assume that certain local and supra-local factors, characterising the development of the projects, foster (but not strictly “cause”) the degree of alignment between lsUPDs and SSPs. In this study, we empirically examine how, and to what extent, the concordance between 38 European large-scale urban development projects and strategic plans (outcome: CONCOR) has been enabled by five multi-scalar factors (or conditions): (i) the role of the national state (STATE), (ii) the role of (inter)national private actors (PRIVATE), (iii) the occurrence of supra-regional external events (EVENTS), (iv) the degree of transport connectivity (TRANSP), and (v) local resistance from civil society (RESIST). We adopted a (multi-data) case-based qualitative strategy for empirical research and applied the formalised procedure of within- and cross-case comparison offered by fuzzy-set Qualitative Comparative Analysis appropriate for the goal of this study. Based on set theory, QCA formally integrates contextual sensitivity to case specificities (within-case knowledge) with systematic comparative analysis (across-case knowledge).
The research question the data set has been created to reply to is the following: which conditions, and combinations of conditions, enable the concordance between large-scale urban development projects and strategic spatial plans?
The conditions (“independent variables”) considered are. STATE: the set of large-scale urban projects characterized by a high degree of state intervention and support in their formulation and implementation, PRIVATE: the set of large-scale urban projects characterized by a high degree of involvement of (inter)national private actors in their formulation and implementation, EVENTS: the set of large-scale strategic projects whose formulation and implementation have been strongly affected by unforeseen international events and/or global trends, TRANSP: the set of large-scale strategic projects with a high degree of road and/or transit connectivity, and RESIST: set of large-scale strategic projects whose realization has been characterized by resistances that have substantially delayed or modified the project implementation.
The outcome (“dependent variable”) under analysis is CONCOR: the set of large-scale urban projects having a high degree of concordance/alignment/integration with strategic spatial plans

3. The data set lsUDPs

   3.1 Selection of cases and data collection
To generate the current data set on large-scale urban development projects in European urban regions (data set "lsUDPs"), we identified 35 large-scale urban development projects in a sample of the 21 Western urban regions considered in the CONCUR project (see supra, Hersperger et al. 2019): Amsterdam, Barcelona, Copenhagen, Hamburg, Lyon, Manchester, Milan, Stockholm, Stuttgart. The criteria we followed to identify the 35 large-scale urban development projects are: geographical location, size (large-scale), site (located either in the city core or in the larger urban region) and urban function (e.g. housing, transportation infrastructures, service and knowledge economic functions). Employing these criteria facilitated the selection of diverse large-scale urban development projects while still ensuring sufficient comparability.
In 2016, we performed 47 in-depth interviews with experts in urban and regional planning and large-scale strategic projects and infrastructure (i.e. academics and practitioners) about the formulation, implementation and development (1990s–2010s) of each project in each of the 9 selected urban regions. On average, each interviewee answered questions on 3.1 large-scale urban development projects. Three cases were subdivided into two cases because a clear differentiation between specific implementation stages was identified by the interviewees (expansion of the Barcelona airport, cases “bcn_airport80-90” and “bcn_airport00-16”; realisation of Lyon Part-Dieu, cases “lyo_partdieu70-90” and “lyo_partdieu00-16”; MediaCityUK, cases “man_salfordquays80-00” and “man_mediacityuk00-16”). Therefore, from the initial 35 cases, the final number of analysed cases in the lsUDPs dataset is 38.

    3.2 The data set lsUDPs: Data management and operationalisation
Interviews were fully transcribed and analysed through MAXQDA (version 12.3, VERBI GmbH, Berlin, Germany), and intercoder agreement was evaluated on a sample of nine interviews. We also compiled “synthetic case descriptions” (SCD) for each case (totalling more than 160 SCDs) to spot potential inconsistencies among interviewees’ accounts and to facilitate completion of the “calibration table” for each case (see below). An online expert survey distributed to the interviewees (response rate 78%) helped systematise the information collected during the interviews. We also consulted both academic and gray literature on the case studies to check for possible ambiguity and inconsistencies in the interview data, and to solve discrepancies between our assigned set membership scores and questionnaire values. Site visits were also carried out to retrieve additional information on the selected cases.
For each case (i.e. each of the 38 selected large-scale urban development projects), we operationalised each condition (i.e. STATE, PRIVATE, EVENTS, TRANSP, RESIST) and the outcome (CONCOR) in terms of sets, for subsequent application of Qualitative Comparative Analysis. This process is called “calibration”; we used a number of indicators for each condition to qualitatively assess each large-scale project across the conditions. The case-based qualitative assessment was then transformed into fuzzy-set membership values. Fuzzy-set membership values range from 0 to 1, and should be conceived as “fundamentally interpretative tools” that “operationalize theoretical concepts in a way that enhances the dialogue between ideas and evidence” (Ragin 2000:162, in “Fuzzy-set Social Science”. Chicago: University Press). We employed a four-value fuzzy-set scale (0, 0.33, 0.67, 1) to “quantify” into set membership scores the individual histories of cases retrieved from interview data. Only the condition TRANSP was calibrated as a crisp-set (0, 1).
The translation of qualitative case-based information into numerical fuzzy-set membership values was iteratively performed by populating a calibration table following standard practices recently emerged in QCA when dealing with qualitative (interview) data.

europe

display_name: europe

land-use-change

display_name: land-use-change

land-use-transformations

display_name: land-use-transformations

large-scale-urban-development-projects

display_name: large-scale-urban-development-projects

spatial-planning

display_name: spatial-planning

strategic-projects

display_name: strategic-projects

strategic-spatial-planning

display_name: strategic-spatial-planning

urban-transformations

display_name: urban-transformations

en: lsUDPS Large-scale urban development projects in European urban regions


maintainer: Frank Techel

en: avalanche-bulletin verification avalanche-forecasting avalanche-forecast avalanche-danger-level

en: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

en: D_QC for forecasting seasons 2020/2021 - 2022/2023.

en: D_QC for forecasting seasons 2001/2002 until 2019/2020.

en:
The data set contains the re-analyzed (or quality-checked) regional avalanche danger levels (D_QC) for Switzerland.

D_QC relates to dry-snow avalanche conditions only. Measuring the avalanche danger level D is not possible; forecast, nowcast, and hindcast assessments of D are judgments by humans interpreting data. However, combining several pieces of information indicating the same D, it can be expected that it is more likely that D_QC represents the avalanche conditions well.

For the **forecasting seasons 2001/2002 until 2019/2020**, the approach to obtain D_QC is described in detail in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

For the **forecasting seasons 2020/2021 and later**, D_QC is derived using the following approach:
1. *Combination of forecast (D_forecast) and nowcast (D_nowcast)*: If there was only one assessment available by an observer after a day in the field for a region, and if D_forecast = D_nowcast --> D_QC = D_forecast.
2. *Combination of several nowcast assessments (D_nowcast)*: If two (or more) observers agreed (or majority opinion) in their (independent) assessments of D_nowcast after a day in the field in the same warning region. --> D_QC = D_nowcast.
3. *Hindcast analysis (D_hindcast)*: In Switzerland, avalanche forecasters re-evaluate all situations when D = 4 (high) or D = 5 (very high) were either forecast, should have been forecast, or when forecasters discussed given one of these two levels but had not given them. Generally, two forecasters assess each situation. In these cases, D_QC = D_hindcast. The hindcast analysis, only available since the forecasting season 2020/2021, replaces what was step (2) in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

All other cases - ties in case of (1) or (2), no new information from the warning region in question, or if no D_hindcast was available - are not considered quality-checked, and are, thus, not contained in the data set.

In addition to D_QC, the file contains information on the elevation and aspect, where D_QC likely prevails.
- The indicated elevation is the mean of the respective elevations in (1), (2), or (3). At danger level 1 (low), when no elevation is indicated in the Swiss forecast, a value of 1500 m is set.
- For the four cardinal aspects N, E, S, and W, a value of 1 means that there was agreement that D was reached in this aspect and a value of 0 means that there was agreement that D was not reached in this aspect. Intermediate values correspondingly mark disagreements in the assessments.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification

envidat

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: Re-analyzed regional avalanche danger levels in Switzerland


en: 3d-point-cloud terrestrial-photogrammetry mobile-laser-scanning lidar structure-from-motion forest-inventory unmanned-aerial-vehicle-laser-scanning terrestrial-laser-scanning

en:
Close Range Remote Sensing Benchmark for different LiDAR and photogrammetric Sensors in a mixed temperate forest.
Benchmarks are needed to evaluate the performance of different close-range remote sensing devices and approaches, both in terms of efficiency as well as accuracy. In this study we evaluate the performance of two terrestrial (TLS), one handheld mobile (PLS) and two drone based (UAVLS) laser scanning systems to detect trees and extract the diameter at breast height (DBH) in three plots with a steep gradient in tree and understorey vegetation density. As a novelty, we also tested the acquisition of 3D point-clouds using a low-cost action camera (GoPro) in conjunction with the Structure from Motion (SfM) technique and compared its performance with those of the more costly LiDAR devices.

forest-inventory

display_name: forest-inventory

lidar

display_name: lidar

mobile-laser-scanning

display_name: mobile-laser-scanning

structure-from-motion

display_name: structure-from-motion

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

terrestrial-photogrammetry

display_name: terrestrial-photogrammetry

unmanned-aerial-vehicle-laser-scanning

display_name: unmanned-aerial-vehicle-laser-scanning

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Ramerenwald Close Range Remote Sensing Benchmark


causal-effect-of-mfoz

title_for_slug: causal-effect-of-mfoz

en: propensity-score-matching selection-bias built-up-land-change causality the-major-function-oriented-zone fujian-province

en: Data and Stata code for repeating the results

en:
Data.xlsx is the variables of 952 townships
Table 1-2 NN(1-1)_noreplace_caliper(0.01).do is STATA code to produce the results in Table 1 and 2
Figure 5 Distribution of the propensity scores.R is R code rto produce Figure 5
Figure 5 Standard mean difference.R is R code rto produce Figure 5

en:
Title: Closer to causality: How effective is spatial planning in governing built-up land expansion in Fujian Province, China?

Research objective: The Major Function Oriented Zone (MFOZ), the first strategic spatial plan in China, is developed to achieve a coordinated regional development, through spatial regulation and zoning of development. The MFOZ he MFOZ divided land into four major function-oriented zones: The development-optimized zone, the development-prioritised zone, the development-restricted zone, and the development-prohibited zone. We used propensity score marching to evaluate the effect of the MFOZ on built-up land expansion in Fujian Province over three time intervals (2013–2015, 2013–2018 and 2013–2020).

Data: Data.xlsx contains the variables of 954 towns in Fujian Province.
Town_ID is the town unique ID;
County_ID is the county unique ID;
City_ID is the city unique ID;
MFOZ is the the development-prioritised zone and the development-restricted zone (The development-optimized zone and the development-prohibited zone are excluded);
Builtup_13_15 is the built-up land expansion from 2013 to 2015;
Builtup_13_18 is the built-up land expansion from 2013 to 2018;
Builtup_13_20 is the built-up land expansion from 2013 to 2020;
Dis2water is the Euclidean distance from the town to the nearest waterbody;
Slope is the the average slope within the town;
GDP is the average GDP in 2010 within the town;
Pop is the average population in 2010 within the town;
Road is the average population in 2010 within the town;
Dis2city is the Euclidean distance from the town to the nearest prefectural city centre;
Nei_Arable, Nei_Forest, and Nei_Built.up are the area of arable land, forest land, and built-up land neighbouring town i in 2010.

Method: we used the propensity score matching to compare the changes in the amount of built-up land in the towns of the development-prioritised zone with the matched towns of the development-restricted zone. Additionally, we used three evaluation intervals (2013–2015, 2013–2018 and 2013–2020) to evaluate temporal variation in the causal effect of the MFOZ on built-up land expansion.

built-up-land-change

display_name: built-up-land-change

causality

display_name: causality

fujian-province

display_name: fujian-province

propensity-score-matching

display_name: propensity-score-matching

selection-bias

display_name: selection-bias

the-major-function-oriented-zone

display_name: the-major-function-oriented-zone

en: Causal effect of MFOZ