geschossflachen-im-kanton-zurich

maintainer: Amt für Raumentwicklung des Kantons Zürich, Raumplanung

title_for_slug: geschossflachen-im-kanton-zurich

de: geschossflaeche raum raumplanungsregionen gemeinden

label: Vorbereiteter Code in R oder Python für jedes Dataset mit csv-Datei(en)

label: Geschossflächen im Kanton Zürich

de: Ausbaugrad ab 2021 in %

de: Der Ausbaugrad gibt an, wie viel Prozent der zulässigen Geschossfläche innerhalb der überbauten Bauzone bereits bebaut wurde. Es wird zwischen Wohnzone, Mischzone und Arbeitszone unterschieden. Die Spalte «ARPNR» ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte «BFSNR» neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Es können keine Totale aus den Werten gerechnet werden. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt.

de: Ausbaugrad 2000 bis 2019 in %

de: Der Ausbaugrad gibt an, wie viel Prozent der zulässigen Geschossfläche innerhalb der überbauten Bauzone bereits bebaut wurde. Es wird zwischen Wohnzone, Mischzone und Arbeitszone unterschieden.  Die Spalte «ARPNR» ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte «BFSNR» neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Es können keine Totale aus den Werten gerechnet werden. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Geschossflächenreserven 2000 bis 2019 in 1'000m2

de: Geschossflächenreserven, unterteilt in Wohnzone, Mischzone und Arbeitszone sowie zusätzlich in überbaute und nicht überbaute Bauzone. Mit der Spalte  «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Geschossflächenreserven ab 2021 in 1'000m2

de: Die Geschossflächenreserven zeigen das theoretische Potential an Geschossfläche auf, welches rechnerisch realisiert werden kann. Die Reserven werden in Wohnzonen, Mischzonen und Arbeitszonen unterteilt und zusätzlich in überbaute und nicht überbaute Bauzonen. Die Spalte «ARPNR» ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte «BFSNR» neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt. Allfällige Ausnützungsboni aus den Bau- und Zonenordnungen für die Wohn-, Gewerbe- und Zentrumszonen sind in der Berechnung für das Jahr 2021 berücksichtigt, für die Jahre 2022 und folgende jedoch nicht mehr.

de: Die Geschossflächenreserven zeigen das theoretische Potential an Geschossfläche auf, welches rechnerisch realisiert werden kann. Die Reserven werden in Wohnzonen, Mischzonen und Arbeitszonen unterteilt und zusätzlich in überbaute und nicht überbaute Bauzonen. Die Spalte «ARPNR» ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte «BFSNR» neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Der Ausbaugrad gibt an, wie viel Prozent der zulässigen Geschossfläche innerhalb der überbauten Bauzone bereits bebaut wurde. Es wird zwischen Wohnzone, Mischzone und Arbeitszone unterschieden. Mit der Spalte «GEO_LEVEL_LEVEL»" können im Vergleich zur Spalte "BFS_NR" neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifizieren werden. Es können keine Totale aus den Werten gerechnet werden. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt.

de: Geschossflächenbestand 2000 bis 2019 in 1'000m2

de: Der Geschossflächenbestand gibt an, wie viel Geschossfläche innerhalb der Bauzone bereits realisiert wurde. Es wird unterschieden in Wohnzone, Mischzone und Arbeitszone. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte "BFS_NR" neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifizieren werden. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Der Geschossflächenbestand gibt an, wie viel Geschossfläche innerhalb der Bauzone bereits realisiert wurde. Es wird unterschieden in Wohnzone, Mischzone und Arbeitszone sowie in Wohnen, Dienstleistung, Industrie, Landwirtschaft und Uebriges. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Geschossflächenreserven, unterteilt in Wohnzone, Mischzone und Arbeitszone sowie zusätzlich in überbaute und nicht überbaute Bauzone. Mit der Spalte  «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt. Allfällige Ausnützungsboni aus den Bau- und Zonenordnungen für die Wohn-, Gewerbe- und Zentrumszonen sind in der Berechnung für das Jahr 2021 berücksichtigt, für die Jahre 2022 und folgende jedoch nicht mehr.

de: Der Ausbaugrad gibt an, wie viel Prozent der zulässigen Geschossfläche innerhalb der überbauten Bauzone bereits bebaut wurde. Es wird zwischen Wohnzone, Mischzone und Arbeitszone unterschieden. Mit der Spalte «GEO_LEVEL_LEVEL» können neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden. Es können keine Totale aus den Werten gerechnet werden. Für die Generierung der Daten bis einschliesslich 2019 war das alte Berechnungsmodell im Einsatz.

de: Geschossflächenbestand ab 2021 in 1'000m2

de: Der Geschossflächenbestand gibt an, wie viel Geschossfläche innerhalb der Bauzone bereits realisiert wurde. Es wird unterschieden in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten. Die Spalte «ARPNR» ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte «BFSNR» neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt.

de: Der Geschossflächenbestand gibt an, wie viel Geschossfläche innerhalb der Bauzone bereits realisiert wurde. Es wird unterschieden in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten. Mit der Spalte «GEO_LEVEL_LEVEL»" können im Vergleich zur Spalte "BFS_NR" neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und den Kanton Zürich (1) als Ganzes identifizieren werden. Ab 2021 wird das neue Berechnungsmodell angewendet. Für das Jahr 2020 wurde aus technischen Gründen keine Datenerhebung durchgeführt.

de: Übersicht über den Stand der Geschossflächen im Kanton Zürich. Die Geschossflächendefinition lehnt sich an die Definition der Geschossfläche GF gemäss SIA und der anrechenbare Geschossfläche gemäss Planungs- und Baugesetz (PBG) an. Die Erhebung der Geschossflächen leitet sich indirekt aus gesetzlichen Vorgaben von Bund und Kanton ab. Der Zweck der Erhebung der Geschossflächenreserven ist aufzuzeigen, welches Verdichtungspotential rechnerisch in Form von Geschossflächen in der Bauzone theoretisch vorhanden ist. Demgegenüber soll mit dem Geschossflächenbestand quantifiziert werden, wie viel Geschossfläche innerhalb der Bauzone bereits realisiert wurde. Ab 2021 wird ein neues Berechnungsmodell angewendet, daher sind die Werte mit den Vorjahren nur schwer vergleichbar. Für 2020 wurden aus technischen Gründen keine Daten erhoben.

geschossflaeche

display_name: geschossflaeche

raum

display_name: raum

raumplanungsregionen

display_name: raumplanungsregionen

are-kanton-zuerich

de: Amt für Raumentwicklung Kanton Zürich

de: Das Amt für Raumentwicklung ist die kantonale Fachstelle für Raumplanung, Geoinformation und Kulturgütererhaltung. Es trägt zur Förderung der Standortqualität des Lebens- und Wirtschaftsraums Zürich bei.

value: ZH-Kt ARE - DCAT Harvester

de: Geschossflächen im Kanton Zürich


bauzonen-im-kanton-zurich

title_for_slug: bauzonen-im-kanton-zurich

name: Amt für Raumentwicklung des Kantons Zürich, Raumplanung

de: bauzonenverbrauch raum bauzonen

state: active

type: dataset

de: Bauzonen gruppiert grob ab 1991 in ha

de: Überbaute und unüberbaute Bauzone, unterteilt in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können.

format: XLS

de: Bauzonen gruppiert fein ab 2005 in ha

media_type: text/csv

de: Überbaute und nicht überbaute Bauzone, unterteilt in Wohnzone, Kernzone, Zentrumszone, Wohnzone mit Gewerbeerleichterung, Arbeitszone ohne Dienstleistungen, Arbeitszone mit Dienstleistungen sowie Zone für öffentliche Bauten. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden Die Spalte GEBIET_NAME beinhaltet sowohl Gemeinden, Städte, Regionen als auch den ganzen Kanton Zürich.

format: CSV

mimetype: text/csv

de: Bauzonen gruppiert fein ab 1991 in ha

de: Überbaute und nicht überbaute Bauzone, unterteilt in Wohnzone, Kernzone, Zentrumszone, Wohnzone mit Gewerbeerleichterung, Arbeitszone ohne Dienstleistungen, Arbeitszone mit Dienstleistungen sowie Zone für öffentliche Bauten. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können.

de: Bauzonen gruppiert grob ab 1996 in ha

de: Überbaute und unüberbaute Bauzone, unterteilt in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden. Die Spalte GEBIET_NAME beinhaltet sowohl Gemeinden, Städte, Regionen als auch den ganzen Kanton Zürich.

de: Bauzonenverbrauch ab 1996 in ha

de: Bauzonenverbrauch im Kanton Zürich, unterteilt in 1-, 5- und 15-Jahres-Verbrauch. Es wird in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten unterschieden. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden.  Die Spalte GEBIET_NAME beinhaltet sowohl Gemeinden, Städte, Regionen als auch den ganzen Kanton Zürich.

de: Überbauungsgrad ab 1996 in %

de: Überbaute Bauzone in % der Bauzone. Es wird in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten unterschieden. NULL-Werte bedeuten, dass für die betreffende Gemeinde oder Stadt keine Flächen in der entsprechenden Zonenkategorie im Zonenplan festgelegt sind. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden. Die Spalte GEBIET_NAME beinhaltet sowohl Gemeinden, Städte, Regionen als auch den ganzen Kanton Zürich. Es können keine Totale aus den Werten gerechnet werden.

de: Überbauungsgrad ab 1991 in %

de: Überbaute Bauzone in % der Bauzone. Es wird in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten unterschieden. 0-Werte bedeuten, dass für die betreffende Gemeinde oder Stadt keine Flächen in der entsprechenden Zonenkategorie im Zonenplan festgelegt sind. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können.

de: Bauzonenverbrauch ab 1991 in ha

de: Bauzonenverbrauch im Kanton Zürich, unterteilt in 1-, 5- und 15-Jahres-Verbrauch. Es wird in Wohnzone, Mischzone, Arbeitszone und Zone für öffentliche Bauten unterschieden. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können.

de: Übersicht über den Bauzonenstand und den Bauzonenverbrauch im Kanton Zürich. Aus technischen Gründen können die Daten in den CSV-Dateien erst ab 1996 bereitgestellt werden.

bauzonen

display_name: bauzonen

bauzonenverbrauch

display_name: bauzonenverbrauch

are-kanton-zuerich

political_level: canton

kanton-zuerich

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

de: Bauzonen im Kanton Zürich


maintainer: Gemeindeamt des Kantons Zürich

de: gemeindefinanzen gemeinden

de: Bilanzwert der langfristigen Schulden [Fr./Einw.]

de: Bilanzwert der langfristigen Schulden pro Kopf pro konsolidierte Gemeinde.

gemeindefinanzen

display_name: gemeindefinanzen

gemeinden

display_name: gemeinden

gemeindeamt-kanton-zuerich

de: Gemeindeamt Kanton Zürich

de: Das Gemeindeamt des Kantons Zürich hilft den Gemeinden, sich in Übereinstimmung mit dem kantonalen Recht zu organisieren. Mit dem Finanzausgleich stellt das Amt sicher, dass alle Gemeinden ihre Grundaufgaben erfüllen können. Daneben obliegen dem Gemeindeamt die kantonalen Aufgaben des Zivilstands-, Einbürgerungs- und Einwohnerwesens. Schliesslich ist das Gemeindeamt Aufsichtsstelle 2. Instanz (nach den Bezirksräten) hinsichtlich Organisation, Haushaltführung, Rechnungslegung sowie Aufsichtsbehörde über die Kindes- und Erwachsenenschutzbehörden.

value: ZH-Kt Gemeindeamt - DCAT Harvester


staatsquote-des-kantons-zurich

maintainer: Finanzverwaltung des Kantons Zürich, Steuerung Finanzhaushalt

title_for_slug: staatsquote-des-kantons-zurich

label: Geschäftsbericht & Rechnung (Teil III: Finanzbericht)

label: Regierungsratsbeschluss Nr. 373/2022

de: Staatsquote des Kantons Zürich ab 2008

de: Variabeln: 'gesamtausgaben' und 'bruttoinlandprodukt' in Tausend CHF.

de: Die Staatsquote entspricht den «konsolidierten Gesamtausgaben» in Prozent des kantonalen Bruttoinlandprodukts (BIP). Die «konsolidierten Gesamtausgaben» umfassen die Ausgaben (Aufwand ohne Abschreibungen, Einlagen in Bestandeskonti von Fonds im Eigen- und Fremdkapital, durchlaufende Beiträge und interne Verrechnungen) plus Bruttoinvestitionen. Die konsolidierten Gesamtausgaben werden durch die Eidgenössischen Finanzverwaltung (EFV) berechnet. Das BIP des Kantons Zürich wird vom Bundesamt für Statistik (BFS) berechnet. Beide Wirtschaftsindikatoren werden mit einer zeitlichen Verzögerung von zwei Jahren veröffentlicht. Vorliegend wird die Staatsquote des Kantons ohne Gemeinden ausgewiesen. Für die interkantonale Vergleichbarkeit müsste die Staatsquote des Kantons und seiner Gemeinden betrachtet werden, aufgrund der je nach Kanton unterschiedlichen Aufgabenteilungen zwischen Kanton und Gemeinden.

finanzkennzahlen

display_name: finanzkennzahlen

oeffentlichefinanzen

display_name: oeffentlichefinanzen

staatsfinanzen

display_name: staatsfinanzen

finanzverwaltung-kanton-zuerich

de: Finanzverwaltung Kanton Zürich

de: Der Kanton Zürich hat, nach dem Bund, den zweitgrössten öffentlichen Haushalt der Schweiz. Die Finanzverwaltung ist verantwortlich für die Planung, Führung und Überwachung dieses Finanzhaushalts. Sie erstellt das Budget und den Jahresabschluss der kantonalen Verwaltung und publiziert den Geschäftsbericht. Zudem übernimmt sie das operative Rechnungswesen und sichert mit der Tresorie die Zahlungsbereitschaft des Kantons. Die Finanzverwaltung bildet die finanzielle Schnittstelle zum Bund und den anderen Kantonen, beispielsweise für den nationalen Finanzausgleich.

value: ZH-Kt Finanzverwaltung - DCAT Harvester

de: Staatsquote des Kantons Zürich


schwermetallbelastung-des-bodens

maintainer: Nationale Bodenbeobachtung NABO

title_for_slug: schwermetallbelastung-des-bodens

media_type: text/html

format: HTML

mimetype: text/html

fr: SPARQL Endpoint avec présélection du graphe

de: SPARQL Endpoint mit Vorauswahl des Graph

en: SPARQL Endpoint with graph preselection

media_type: application/sparql-query

format: SPARQL

mimetype: application/sparql-query

fr: Les données mesurées sont des moyennes des concentrations de métaux lourds relevées sur les 20 cm supérieurs du sol sur 100 sites d'observation à long terme de l'Observatoire national des sols (NABO).

de: Bei den Messdaten handelt es sich um Erhebungsmittelwerte von Schwermetallkonzentrationen in den obersten 20 cm des Bodens von rund 100 Dauerbeobachtungsstandorten der Nationalen Bodenbeobachtung NABO.

en: The measurement data are the surveyed mean values of heavy metal concentrations recorded in the top 20 cm of the soil in around 100 permanent monitoring sites operated by the Swiss National Soil Monitoring Network (NABO).

it: I dati misurati sono valori medi delle concentrazioni di metalli pesanti rilevate nei 20 cm dello strato superiore del suolo presso circa 100 siti di osservazione a lungo termine dell'Osservatorio nazionale dei suoli (NABO).

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

political_level: confederation

value: LINDAS DCAT Harvester BAFU

fr: Pollution du sol par les métaux lourds

de: Schwermetallbelastung des Bodens

en: Heavy Metal Soil Contamination

it: Carico di metalli pesanti nel suolo


maintainer: Staatskanzlei Zug

fr: federal votation

de: national abstimmung

it: nazionale votazione

label: Descrizione del formato

label: Formatbeschreibung

label: Description du format

label: Descripziun dal format

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

identifier: csv

rm: Resultats finals da la votaziun federala "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 da favrer 2011, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 février 2011, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13. Februar 2011, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 febbraio 2011, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

staatskanzlei-zug

de: Staatskanzlei Zug

de: Der Kanton Zug veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

value: ZG-Kt - Staatskanzlei - DCAT Harvester


stadtplan-darstellung-farbig

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

title_for_slug: stadtplan-darstellung-farbig

de: av grundkarte hintergrundkarte

label: geocat.ch permalink

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

format: SERVICE

de: WMS Stadtplan_farbig

de: Web Map Services WMS

format: WMS

de: WMTS Stadtplan_farbig

de: Web Map Tile Services WMTS

format: WMTS

de: WFS Stadtplan_farbig

de: Web Feature Services WFS

format: WFS

de: Farbige, einfache Darstellung basierend auf den Daten der amtlichen Vermessung.

spatial: Stadt Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Stadtplan (Darstellung farbig)


stadtplan-darstellung-schwarz-weiss

envi

de: Umwelt

title_for_slug: stadtplan-darstellung-schwarz-weiss

de: WMS Stadtplan_schwarzweiss

de: WMTS Stadtplan_schwarzweiss

de: WFS Stadtplan_schwarzweiss

de: Schwarz/weisse, einfache Darstellung basierend auf den Daten der amtlichen Vermessung.

de: Stadtplan (Darstellung schwarz/weiss)


schwarzplan

regi

de: Regionen und Städte

title_for_slug: schwarzplan

de: av grundkarte hintergrundkarte

de: Map (Preview) Stadtplan

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Schwarzplan

de: WMTS Schwarzplan

de: Die Gebäudeflächen aus der Bodenbedeckung der Amtlichen Vermessung schwarz eingefärbt bilden eine einfache Grundkarte "Schwarzplan".

de: Schwarzplan


amtliche-vermessung-darstellung-kontur

title_for_slug: amtliche-vermessung-darstellung-kontur

de: av katasterplan

de: WMS Amtliche_Vermessung_Kontur

de: Web Map Services WMS

de: WMTS Amtliche_Vermessung_Kontur

de: Web Map Tile Services WMTS

de: WFS Amtliche_Vermessung_Kontur

de: Web Feature Services WFS

de: Daten der amtlichen Vermessung in schwarz und ohne Flächenfüllungen dargestellt. Kann zur Überlagerung mit flächengefüllten Informationen nützlich sein.

geoinformation-der-stadt-bern

de: Geoinformation Stadt Bern

de: Amtliche Vermessung (Darstellung Kontur)


amtliche-vermessung-darstellung-farbig

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: amtliche-vermessung-darstellung-farbig

de: av katasterplan kreis

de: WMS Amtliche_Vermessung_farbig

de: WMTS Amtliche_Vermessung_farbig

de: WFS Amtliche_Vermessung_farbig

de: Plan für das Grundbuch der Stadt Bern - farbig.

geoinformation-der-stadt-bern

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

de: Amtliche Vermessung (Darstellung farbig)


de: Map (Preview) Stadtplan

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Amtliche_Vermessung_schwarzweiss

de: Web Map Services WMS

de: WMTS Amtliche_Vermessung_schwarzweiss

de: WFS Amtliche_Vermessung_schwarzweiss

de: Plan für das Grundbuch der Stadt Bern in Graustufen mit blau eingefärbten Gewässern.

de: Amtliche Vermessung (Darstellung schwarz/weiss)


regi

de: Regionen und Städte

de: av katasterplan

de: WMS Amtliche_Vermessung_fuer_Orthofoto

de: WMTS Amtliche_Vermessung_fuer_Orthofoto

de: Web Map Tile Services WMTS

de: WFS Amtliche_Vermessung_fuer_Orthofoto

de: Web Feature Services WFS

de: Daten der amtlichen Vermessung in weiss/gelb und ohne Flächenfüllungen dargestellt. Kann zur Überlagerung mit Orthofotos nützlich sein.

geoinformation-der-stadt-bern

de: Geoinformation Stadt Bern

de: Amtliche Vermessung (Darstellung für Orthofoto)


waldflachen

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

envi

de: Umwelt

title_for_slug: waldflachen

de: forstwirtschaft nutzungsplanung vegetation wald

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Wald nach Waldrecht, dieser umfasst unter anderem auch Waldstrassen, Gewässer und Gebäude innerhalb des Waldes.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Waldflächen


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

de: Regionen und Städte

de: bewilligungen energie erdwarme geologie gewasserschutz grundwasser ver--und-entsorgung

de: Zeigt an welchen Orten der Einsatz von Erdwärmesonden zulässig ist und wo bereits Erdwärmenutzungsanlagen in Betrieb sind.

de: Erdwärmenutzung


erdwarmenutzung-anlagen

title_for_slug: erdwarmenutzung-anlagen

de: energie erdwarme geologie gewasserschutz grundwasser ver--und-entsorgung

de: Übersicht der Standorte von Erdwärmenutzungsanlagen, welche Erdwärmesonden, Energiepfähle, Erdregister und Erdwärmekörbe zur Wärmegewinnung nutzen.

de: Erdwärmenutzung: Anlagen


zonenplane-gewasserraum

envi

de: Umwelt

title_for_slug: zonenplane-gewasserraum

de: fliessgewasser gewasserschutz nutzungsplanung oberflachengewasser raumplanung zonenplan

de: Gewässerraum aus den Zonenplan-Überlagerungen, unterschieden nach Freihaltezone und Grünzone.

spatial: Schweiz

de: Zonenpläne: Gewässerraum


zonenplane

title_for_slug: zonenplane

de: baulinie eigentumsbeschrankungoreb grundeigentum nutzungsplanung raumplanung zonenplan

de: Datenshop

de: Produktansicht Geodatenshop

de: Zonenpläne sind grundeigentümerverbindlich und regeln die zulässige Art der Bodennutzung im Gebiet einer Gemeinde.

de: Zonenpläne


maintainer: Felix Neff

en: diversity topsoil-removal restoration long-term-experiment grassland functional-diversity functional-traits insects

en: Insect abundance

en:
Abundance of adult insects recorded in the samplings on all experimental sites

- **Plot**: ID of Plot
- **Treatment**: Experimental treatment
- **Species**: Insect species name (following [Fauna Europaea](https://fauna-eu.org))
- **Author**: Author and year of species' description (following [Fauna Europaea](https://fauna-eu.org))
- **Group**: Insect group as used in the analyses
- **Number_Adults**: Number of adult individuals recorded
- **Herbivore**: Logical indicating whether the species is feeding as a herbivore (*TRUE*) or not (*FALSE*)

en: Plot information

en:
Information on the experimental plots.

- **Plot**: ID of Plot
- **Treatment**: Experimental treatment
- **Landuse_history**: recent agricultural use for Initial; agricultural use before restoration for all restored sites
- **Last_tilled**: Last time the site was tilled
- **Intensity**: Frequency and intensity of mowing and manuring (*intensity1*: mowing once and no manure, i*ntensity2*: 2-3 times mowing and no manure, *intensity3*: 2-3 times mowing and manuring, *intensity4*: 4-5 times mowing and manuring)
- **Slope**: slope gradient according to classes defined by FAO (1990)
- **X**: X coordinate of the plot (CH1903)
- **Y**: Y coordinate of the plot (CH1903)
- **Cluster**: Spatial cluster of the plot

en: Insect traits

en:
Functional traits of all herbivorous insect species sampled in the study.

- **Species**: Insect species name (following [Fauna Europaea](https://fauna-eu.org))
- **Author**: Author and year of species' description (following [Fauna Europaea](https://fauna-eu.org))
- **Group**: Insect group as used in the analyses
- **Body volume**: Body volume determined by body length, body width and body height (in mm$^3$)
- **Body_shape**: Ratio of body length to body width
- **Hind_femur_shape**: Ratio of hind-femur length to hind-femur width
- **Hind_front_leg_ratio**: Ratio of front-leg length to hind-leg length (leg length = femur length + tibia length)
- **Wing_length_rel**: Ratio of wing length to body length
- **Leg_length_rel**: Ratio of front-leg length to body length (leg length = femur length + tibia length)
- **Antenna_length_rel**: Ratio antenna length to body length
- **Eye_width_rel**: Ratio of eye width to head width (Auchenorrhyncha, Heteroptera) / to head height (Orthoptera)
- **Feeding_specialization**: Insect specialization on food source (*m*: monophagous, *o*: oligophagous, *p*: polyphagous)
- **Feeding_tissue**: Feeding tissue used for feeding (*c*: chewers, *x*: xylem, *p*: phloem, *m*: mesophyll, *m-p/r*: mesophyll as well as phloem and/or reproductive organs, *r*: reproductive organs, *se*: ripe seeds)
- **Hibernation**: Hibernation stage (*e*: egg, *e/n*: egg and nymph, *n*: nymph, *a*: adult)
- **Generations**: Number of generations per year (*1.5* stands for *1-2* generations per year)
- **Moisture_pref_mean**: mean of preferred habitat moistures (*1*: xerophilous, *2*: moderately xerophilous, *3*: moderately mesohygrophilous, *4*: mesohygrophilous, *5*: moderately hygrophilous, *6*: hygrophilous, *7*: moderately hydrophilous, *8*: hydrophilous)
- **Moisture_pref_range**: range of preferred habitat moistures (indicating degree of specialization)

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

**Paper Citation**:

Neff, F., Resch, M. C., Marty, A., Rolley, J. D., Schütz, M., Risch, A. C, Gossner, M. M. 2020. Long-term restoration success of insect herbivore communities in semi-natural grasslands: a functional approach. Ecological Applications, 30, e02133. [10.1002/eap.2133](https://doi.org/10.1002/eap.2133)

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

 Methods

 Study site
The study area is situated within and nearby to Eigental nature reserve (47°27’36” to 47°29’06” N, 8°37’12” to 8°37’44” E, 461 to 507 m a.s.l.) in the vicinity of Zurich airport (Canton Zurich, Switzerland). Mean annual precipitation and temperature is 903 ± 136 mm and 9.14°C ± 0.50°C (mean ± SD for 2007-2017 (*MeteoSchweiz 2018*)). In 1967, the Eigental nature reserve was established to protect small and isolated remnants of species-rich, semi-natural grasslands (roughly 12 ha), which were embedded in an otherwise intensively managed landscape. It is characterized by oligo- to mesotrophic Molinion (semi-wet, matrix species *Molinia caerulea*) and Mesobromion (semi-dry, matrix species *Bromus erectus*) meadows (*Delarze et al. 2015*), reflecting small-scale habitat heterogeneity, mainly due to site-specific groundwater levels and slope inclination. As in most Central European grasslands, management is necessary to prevent shrub and tree invasions as well as to secure low levels of available soil nutrients and thus to maintain these species-rich habitats ([*Poschlod and WallisDeVries 2002*](https://doi.org/10.1016/S0006-3207(01)00201-4)).
In 1990, the government of the Canton Zurich decided to enlarge the Eigental nature reserve as a counter measure against degradation and biodiversity loss in semi-natural grasslands due to overutilization and the excessive input of nutrients (mostly nitrogen). Eleven patches of adjacent intensively managed grassland (in total roughly 20 ha) were targeted to be transformed into semi-natural grasslands. As a first restoration measure, fertilization was ceased, and biomass harvested three times to remove excessive soil nutrients from the original system and thus benefit plant species with low competitive ability on the long run. In 1995, the restoration efforts were increased and a large-scale experiment comprising three restoration measures with increasing intervention intensities was implemented:

- **Harvest only**: Initial restoration measures were continued with mowing and removing of the aboveground biomass two times a year (early summer and autumn).
- **Topsoil**: Removal of topsoil, depending on the thickness of the A horizon the upper 10 to 20 cm, in four randomly selected areas within the eleven patches in late autumn 1995. The size of the restoration area depended on individual patch size (2700 to 7000 m2).
- **Topsoil + Propagules**: Plant propagules were added on half of the area where topsoil was removed via application of fresh, seed-containing hay and hand-collected propagules of target species originating from semi-dry and semi-wet species-rich grasslands with local and regional provenance (within radius of 7 to 30 km) (1995, 1996, 1997).

Management of *Topsoil* and *Topsoil + Propagules* started five years after treatment implementation and included yearly mowing and removing of aboveground biomass (late summer or early autumn). The experiment was complemented with intensively managed grassland sites that share the same agricultural history as the restored sites (**Initial**; swards dominated by *Lolium perenne*, *L. multiflorum* and *Trifolium repens*): mowing and subsequent fertilizing (manure) up to five times a year, as well as different tillage regimes. Finally, sites were selected in target semi-dry and semi-wet grasslands (**Target**) located within the Eigental nature reserve and another nature reserve nearby (Altläufe der Glatt; 47°28’29” to 47°27’41” N, 8°31’56” to 8°32’26” E, 418 to 420 m a.s.l.). The selected target sites are mown and aboveground biomass removed once a year in late summer or early autumn. For each of the five treatments, we selected eleven plots (5 m × 5 m) spread across the sites. Altogether, the experiment included 55 plots.

 Arthropod sampling
Aboveground arthropods were sampled using suction sampling on four consecutive days in early July 2017 before the grasslands were mown. Arthropods were sampled in two locations on each 5 m × 5 m plot, once in the south-western and once in the north-eastern corner to account for possible spatial heterogeneity within the plots. Arthropods were sorted to order or lower taxonomic levels and individuals were identified to species level. We focused on three groups (Hemiptera: Auchenorrhyncha, Hemiptera: Heteroptera, Orthoptera),

 Functional traits
We used two sets of functional traits in this study.

**Morphometric traits**:
Body volume, body shape, hind femur shape, hind/front leg ratio, wing length, leg length, antenna length and eye width. We used trait measurements from [*Simons et al. (2016)*](http://dx.doi.org/10.1890/15-0616.1) and [*Neff et al. (2019)*](https://doi.org/10.1007/s10980-019-00872-1) and complemented them with measurements on study specimens. These measurements were conducted using a high-resolution measuring stereo microscope (Leica DVM6, Leica Microsystems) including automated high-resolution photo stacking with the software Leica Application Suite X (LAS X, © 2018 Leica Microsystems CMS GmbH) and Leica Map Premium (Leica Microsystems, © 1996-2017 Digital Surf) at WSL Birmensdorf. The eight morphometric traits were calculated from direct measurements of body parts on specimens of all sampled species. From each species, we measured at least one female and one male specimen. Additionally, for species that show wing dimorphism, we included the different wing morphs and weighted them by their prevalence reported in literature. For few species, of which not all wing morphs were available for measurements (10 cases), we estimated relative wing length from congeneric species or from the literature.

**Life-history traits**
Based on an existing data set collected by [*Gossner et al. (2015)*](http://dx.doi.org/10.1890/14-2159.1). We included traits describing different life-history characteristics of herbivore insect species, namely: feeding specialization, feeding tissue, hibernation stage and number of generations per year, which are related to insect species’ vulnerability to changes in plant community composition, microhabitat use and disturbance tolerance. To represent potential changes in habitat moisture with abandonment of intensive land use (e.g., change in ground-water level), we also included two traits related to preferred habitat moisture of the study species: moisture preference, describing species’ optimum habitat moisture, and moisture range, which describes the species’ range of preferable moisture conditions.

 References

Delarze, R., Y. Gonseth, S. Eggenberg, and M. Vust. 2015. Lebensräume der Schweiz: Ökologie - Gefährdung - Kennarten. 3rd ed. Ott, Bern.

Gossner, M. M., N. K. Simons, R. Achtziger, T. Blick, W. H. O. Dorow, F. Dziock, F. Köhler, W. Rabitsch, and W. W. Weisser. 2015. A summary of eight traits of Coleoptera, Hemiptera, Orthoptera and Araneae, occurring in grasslands in Germany. Scientific Data 2:150013.

MeteoSchweiz. 2018. Klimabulletin Jahr 2017. MeteoSchweiz, Zürich.

Neff, F., N. Blüthgen, M. N. Chisté, N. K. Simons, J. Steckel, W. W. Weisser, C. Westphal, L. Pellissier, and M. M. Gossner. 2019. Cross-scale effects of land use on the functional composition of herbivorous insect communities. Landscape Ecology 34:2001–2015.

Poschlod, P., and M. F. WallisDeVries. 2002. The historical and socioeconomic perspective of calcareous grasslands—lessons from the distant and recent past. Biological Conservation 104:361–376.

Simons, N. K., W. W. Weisser, and M. M. Gossner. 2016. Multi-taxa approach shows consistent shifts in arthropod functional traits along grassland land-use intensity gradient. Ecology 97:754–764.

diversity

display_name: diversity

functional-diversity

display_name: functional-diversity

functional-traits

display_name: functional-traits

grassland

display_name: grassland

insects

display_name: insects

long-term-experiment

display_name: long-term-experiment

restoration

display_name: restoration

topsoil-removal

display_name: topsoil-removal

educ

de: Bildung, Kultur und Sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester

en: Grassland restoration: insects and insect traits


maintainer: Ionut Iosifescu Enescu

en: open-source hpc reproducibility open-data jupyter-notebooks open-science research-data-management

en: Open Science Support @ WSL (Poster)

media_type: application/pdf

format: PDF

mimetype: application/pdf

en:
This poster was originally created for the swissuniversities Open Science Action Plan: Kick-Off Forum, and showed to the audience on 17.10.2019. It illustrates how the environmental data portal EnviDat provides the tools for fostering Open Science and Reproducibility of scientific research at WSL.

Supporting open science is a highly relevant user requirement for EnviDat and for implementing FAIR (Findability, Accessibility, Interoperability and Reusability) principles at dataset level.
EnviDat encourages WSL scientists to complement data publication with a complete description of research methods and the inclusion of the open source software, code or scripts used for processing the dataset or for obtaining the published results. By openly publishing open software (e.g. as Jupyter notebooks) alongside research data sets, researchers can contribute to mitigate reproducibility issues.

EnviDat also promotes and supports, where possible and practical, the publication of software as Jupyter notebooks. Jupyter notebooks provide a solution for improved documentation and interactive execution of open code in a wide range of programming languages (Python, R, Octave/Matlab, Java or Scala). These programming languages are widely used in environmental research at WSL and well supported by the Jupyter-compatible kernels. We have sucessfully interfaced EnviDat-hosted notebooks with the WSL High-Performance Computing (HPC) Linux Cluster through a JupyterHub/JuypterLab beta installation on the HPC cluster implemented in close collaboration with the WSL IT-Services.
For existing software that cannot be easily migrated to Jupyter Notebooks, the Open Science and Reproducibility is assisted by containerisation. We have proven that several Singularity containers can successfully run on WSL's HPC cluster.

Finally, the researchers can upload the data/results complemented by code (e.g. as Jupyter Notebooks, or Singularity containers) and any additional documentation in EnviDat. Consequently, they will receive a DOI for the entire dataset, which they can reference in their science paper in order to publish a more reproducible research.

_License_: This poster is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse this poster in any way you want, for any purposes and without restrictions.

hpc

display_name: hpc

jupyter-notebooks

display_name: jupyter-notebooks

open-data

display_name: open-data

open-science

display_name: open-science

open-source

display_name: open-source

reproducibility

display_name: reproducibility

research-data-management

display_name: research-data-management

en: Open Science Support at the Swiss Federal Research Institute WSL. The EnviDat Concept


maintainer: Esther Frei

en: stillberg treeline-ecosystems long-term-experiment literature-review mountain-ecology

en: The Stillberg bibliography (Stillberg_bibliography_v1.zip) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals (Stillberg_bibliography_data_v1.csv) along with the metadata file (Stillberg_bibliography_metadata_v1.csv). Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title.

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Over almost fifty years, research at the Stillberg site combined long-term monitoring of the large-scale high-elevation afforestation with experimental manipulations simulating global change impacts. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone across different compartments and scales, from individual trees, non-tree vegetation and soils to whole ecosystems, in the context of global change resulting in more than 150 publications.

 Dataset generation

We compiled a comprehensive list of scientific publications covering research at the Stillberg research site by conducting searches in the literature databases Web of Science and Google Scholar, as well as in the Digital Object Repository of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (DORA). We compiled all publications about the afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, the G-TREE experiment, as well as other studies related to the Stillberg research site.

 Data description

The Stillberg bibliography (Stillberg_bibliography_data_v1.csv) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals. Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title. The bibliography is described in a metadata file (Stillberg_bibliography_metadata_v1.csv). The bibliography along with the metadata file are provided in a ZIP-folder (Stillberg_bibliography_v1.zip).

literature-review

display_name: literature-review

mountain-ecology

display_name: mountain-ecology

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

educ

en: Education, culture and sport

en: Bibliography of the long-term treeline research site Stillberg, Switzerland


forest-area-by-forest-function

title_for_slug: forest-area-by-forest-function

en: forest-function forest-area protection-forest-region biogeographical-region nfi4b ownership nfi3 forest-area-by-forest-function economic-region accessible-forest-without-shrub-forest forest terrestrial-grid-nfi3 grid-nfi4-2009-2013 production-region canton

en:
The forest area refers to all areas classified as forest according to NFI’s forest definition. The forest definition includes shrub forest.  For each forest function (including no special forest function) identified in the survey of the forestry services, the size of the associated forest area is displayed. One forest region may fulfil several different forest functions and may thus contribute to the forest area for several forest functions.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

accessible-forest-without-shrub-forest

display_name: accessible-forest-without-shrub-forest

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

economic-region

display_name: economic-region

forest

display_name: forest

forest-area

display_name: forest-area

forest-area-by-forest-function

display_name: forest-area-by-forest-function

forest-function

display_name: forest-function

ownership

display_name: ownership

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

en: Forest area by forest function


maintainer: EnviDat Support

en: photovoltaic irradiance mountain energy albedo reflection snow

media_type: application/zip

en: Windows users use the 7-zip app to extract the zip-file.

format: ZIP

mimetype: application/zip

en: PV Data

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow


soil-respiration-exclosure-experiment

title_for_slug: soil-respiration-exclosure-experiment

en: ungulates soil-respiration grazing grassland subalpine

en: Soil respiration Switzerland

en:
ID: Fence number

Year	:Year of sampling

mean.CO2: soil respiration measured with PP-systems SRC-1 soil respriation chamber attached to a EGM-4 infrared gas analyser; units CO2 g m-2 h-1

Grassland: Grasslands where fences were errected. Note that on large grasslands (STAB, GRIM, MING) 2 pairs of fences were errected (2 in short, 2 in tall-grass vegetation), on small grasslands (DADA, MARG, BOTS) only one pair of fences was errected (1 short-grass; one-tallgrass vegetation)

Fence: Fence number; un-even numbers on short-grass vegetation (1,3,5,7,9,11,13,15,17), even numbers on tall-grass vegetation (2,4,6,8,10,12,14,16,18)

Vegetation:	1 = shortgrass vegetation, 2 = tall-grass vegetation (9 replicate fences on each vegetation type)

Treatment	: 1 = all herbivores grazing, 2 = large ungulates (red deer, chamois) excluded

en:
Location of data collection
The Swiss National Park (SNP) is located in the southeastern part of Switzerland, and covers an area of 170 km2, 50 km2 of which is forested, 33 km2 is occupied by alpine and 3 km2 by subalpine grasslands. Elevations range from 1350 to 3170 m a.s.l., and mean annual precipitation and temperature are 871 mm and 0.6°C measured at the Park’s weather station in Buffalora (1980 m a.s.l.) between 1960 and 2009 (MeteoSchweiz 2011). Founded in 1914, the SNP received minimal human disturbance for almost 100 years (no hunting, fishing, or camping, visitors are not allowed to leave the trails). Large (> 1 ha) homogeneous patches of short- and tall-grass vegetation characterize the subalpine grasslands. The average vegetation height of short-grass vegetation is 2 to 5 cm. Red fescue (Festuca rubra L.), quaking grass (Briza media L.) and common bent grass (Agrostis tenuis Sipthrob) are the predominating plant species in this vegetation type. Tussocks of evergreen sedge (Carex sempervirens Vill.) and mat grass (Nardus stricta L.) are predominant in the tall-grass vegetation, which averages 20 cm in vegetation height (Schütz and others 2006). Short-grass vegetation developed in areas where cattle and sheep rested (high nutrient input) during agricultural land-use (from 14th century until 1914); tall-grass vegetation developed in areas where cattle and sheep used to graze, but did not rest (Schütz and others 2003, 2006). Herbivores were shown to consume > 60% of the biomass in short-grass compared to < 20% in tall-grass vegetation (Schütz and others 2006). The herbivore community present in the SNP can be divided into four groups based on body size/weight: large [red deer (Cervus elaphus L.) and chamois (Rupricapra rupricapra L.); 30 - 150 kg], medium [marmot (Marmota marmota L.) and snow hare (Lepus timidus L.); 3 – 6 kg], and small vertebrate herbivores (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp.; 30 – 100 g) as well as invertebrates (e.g. grasshoppers, caterpillars, cicadas, < 5 g).

Experimental design
We selected 18 subalpine grassland sites (9 short-grass, 9 tall-grass vegetation). The sites were spread across the entire park on dolomite parent material at altitudes of 1975 to 2300 meters. At each site we established an exclosure network (fences) in spring 2009 (early June), immediately after snowmelt. Each exclosure network consisted of a total of five 2 × 3 m sized plots that progressively excluded the different herbivores listed above (further labeled according to the herbivore guilds that had access to the respective plots “All”, “Marmot/Mice/Invertebrates”, “Mice/Invertebrates”, “Invertebrates”, “None”). The “All” treatment was thus accessible to all herbivores, was not fenced and was located at least 5 m away from a 2.1 m tall and 7 × 9 m main fence that enclosed the other four treatments. This fence was constructed of 10 × 10 cm wooden posts and electrical equestrian tape (AGRARO ECO, Landi, Bern, Switzerland; 20 mm width) mounted at 0.7 m, 0.95 m, 1.2 m, 1.5 m and 2.1 m above the ground that were connected to a solar charged battery (AGRARO Sunpower S250, Landi, Bern, Switzerland). We also mounted non-electrically charged equestrian tape at 0.5 m to help exclude deer and chamois, yet allow marmots and hares to enter safely. Within each main fenced area we randomly established four 2 × 3 m plots: (1) The “Marmot/Mice/Invertebrates” plot remained unfenced, thus, with the exception of red deer and chamois, all herbivores were able to access the plot, (2) The “Mice/Invertebrates” plot consisted of a 90 cm high electric sheep fence (AGRARO Weidezaunnetz ECO, Landi, Bern, Switzerland; mesh size 10 × 10 cm) connected to the solar panel and excluded all medium sized mammals (marmots, hares), but provided access for small mammals and invertebrates, (3) The “Invertebrates” plot provided access for invertebrates only and was surrounded by 1 m high metal mesh (Hortima AG, Hausen, Schweiz; mesh size 2 × 2 cm), (4) The “None” plot was surrounded by a 1 m tall mosquito net (Sala Ferramenta AG, Biasca, Switzerland; mesh size 1.5 × 2 mm) to exclude all herbivores. This plot was covered with a roof constructed of a wooden frame lined with mosquito mesh that was mounted on the wooden corner posts. We also treated this plot with a biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) when needed to remove insects that might have entered during data collection or that hatched from the soil.

!!! The here published data set only contains data for “All”, and “Marmot/Mice/Invertebrates” (= ungulates excluded) plots !!!

Data collection
In-situ soil CO2 emissions were measured with a PP-Systems SRC-1 soil respiration chamber (closed circuit) attached to a PP-Systems EGM-4 infrared gas analyzer (PP-Systems, Amesbury, MA, USA) on two randomly selected locations on one subplot within each of the 90 plots. For each measurement the soil chamber (15 cm high; 10 cm diameter) was placed on a permanently installed PVC collar (10 cm diameter) driven five centimeters into the soil at the beginning of the study (June 2009). The measurements were conducted between 0900 and 1700 hours every two weeks from early to early September 2009, 2010, 2011 and 2013. Freshly germinated plants growing within the PVC collars were removed prior to each measurement to avoid measuring plant respiration/photosynthesis. The two measurements collected per plot every two weeks were averaged.

Please acknowledge the funding of the study: funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 to Anita C. Risch, Martin Schütz and Flurin Filli

grassland

display_name: grassland

grazing

display_name: grazing

soil-respiration

display_name: soil-respiration

subalpine

display_name: subalpine

ungulates

display_name: ungulates

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: Soil respiration - exclosure experiment


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

en: decomposition forest tea-bag green-tea roiboos modeling verification carbon litter

en: Site Information

en: Descriptive information on sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

en: LWF-Tea bag sites


maintainer: Tessa Hegetschweiler

en: teenagers adolescents childhood forest recreational-activities

en: Dataset survey at schools

en: The dataset of the questionnaire survey at schools in excel format.

en: Questionnaire school survey

en: The questionnaire used in the survey at 8 schools aimed at teenagers in German.

en: Dataset comments

en: The codebook to the dataset

en: Survey at schools 2017

en: The dataset of the questionnaire survey at schools in SPSS-format.

en: The data results from a questionnaire survey conducted at 8 schools in the cantons Zurich, Aargau and St. Gallen. Respondents aged 13-22 years. The aim of the survey was to gain insight into teenagers' relationship to the forest, reasons for visiting or not visiting the forest and activities in the forest.

adolescents

display_name: adolescents

childhood

display_name: childhood

recreational-activities

display_name: recreational-activities

teenagers

display_name: teenagers

educ

en: Education, culture and sport

en: Factors influencing teenagers' forest visit frequency


maintainer: Nander Wever

en: snow-ice-temperature snow-depth air-temperature humidity wind-direction precipitation-amount wind-speed shortwave-radiation longwave-radiation

en: Undercatch correction

en: This document describes how the undercatch correction for the Weissfluhjoch measurement site was determined.

en: Version 3

en:
Deprecated version. Release notes:

Bug fix: in version 2, the undercatch correction was not applied correctly

Bug fix: in version 2, snow lysimeter data was missing for extended periods of time

Update: dataset extended to 2016-01-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en: Version 6

en:
Deprecated version.

Release notes:

- Missing ISWR for 2009-09-30 and 2010-04-30 has been replaced by data from WFJ Gipfel

This dataset is the basis for the Weissfluhjoch dataset in ESM-SnowMIP (doi: http://dx.doi.org/10.16904/16).

en: SNOWPACK sno file

en: This sno-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en: Version 7 (current)

en:
Release notes:

Bug fix: in previous versions, snow lysimeter data from September 2010 onwards was erroneously reported for UTC+2, instead of UTC+1 (i.e., reported one hour later than should have been).

Update: dataset extended to 2017-07-11T00:30.

en: Version 4

en:
Deprecated version. Release notes:

Update: dataset extended to 2016-09-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en: Version 2

en:
Deprecated version. Release notes:

Bug fix: in v1, incoming radiation components were taken from WFJ_Gipfel station, instead of WFJ Versuchsfeld.

en: Version 1

en:
Deprecated version. Release notes:

First release of dataset.

en: SNOWPACK ini file (new syntax)

en: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using the new MeteoIO Filter, Generator and Interpolation syntax.

en: All versions

en: SNOWPACK ini file (old syntax)

en: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en: Version 5

en:
Deprecated version. Release notes:

Update: using the incoming and outgoing short- and longwave radiation data from the new processing chain from 2010 onwards, filling also data gaps in pre-2010 data.

Update: dataset extended to 2016-10-04T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Dataset of meteorological and snowpack measurements from the automatic weather station at Weissfluhjoch, Davos, Switzerland, suitable for driving snowpack models. The dataset contains standard meteorological measurements, and additionally snowpack runoff data from a snow lysimeter. Where possible, data is quality checked and missing data are replaced from backup sensors from the measurement site itself, or (in only a few cases) from the MeteoSwiss weather station at 470 m distance and 150 m above the measurement site.

Publication
Wever, N., Schmid, L., Heilig, A., Eisen, O., Fierz, C., and Lehning, M. Verification of the multi-layer SNOWPACK model with different water transport schemes. 2015. The Cryosphere. Volume 9. 2271-2293. http://dx.doi.org/10.5194/tc-9-2271-2015.

air-temperature

display_name: air-temperature

humidity

display_name: humidity

longwave-radiation

display_name: longwave-radiation

precipitation-amount

display_name: precipitation-amount

shortwave-radiation

display_name: shortwave-radiation

snow-depth

display_name: snow-depth

snow-ice-temperature

display_name: snow-ice-temperature

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

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: WFJ_MOD: Meteorological and snowpack measurements from Weissfluhjoch, Davos, Switzerland


en: forest-transportation-systems trucks trafficability forest-access-roads timber-harvesting

en:
Article describing the dataset, as well as its acquisition and potential uses.
To access the data please contact Fabrizio Cioldi.

en:
In 2013–2014, a survey was conducted in Switzerland to update the Forest Access Roads geo-dataset within the framework of the Swiss National Forest Inventory (NFI). The resulting nationwide dataset contains valuable information on truck-accessible forest roads that can be used to transport wood. The survey involved interviewing staff from the approximately 800 local forest services in Switzerland and recording the data first on paper maps and then in digitized form. The data in the NFI on the forest roads could thus be updated and additional information regarding their trafficability for specific categories of truck included. The information has now been attached to the geometries of the Roads and Tracks of the swissTLM3D (release 2012) of the Federal Office of Topography swisstopo. The resulting data are suitable for statistical analyses and modeling, but further (labour-intensive) validation work would be necessary if they are to be used as a basis for applications requiring more spatial accuracy, such as navigation systems. The data are managed at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and are available for third parties for non-commercial use provided they have purchased a TLM license.

Related Publication: [doi: 10.3188/szf.2016.0136](http://dx.doi.org/10.3188/szf.2016.0136)

forest-access-roads

display_name: forest-access-roads

forest-transportation-systems

display_name: forest-transportation-systems

timber-harvesting

display_name: timber-harvesting

trafficability

display_name: trafficability

trucks

display_name: trucks

educ

en: Education, culture and sport

en: Forest Access Roads 2013


en: erosion model mars snow sediment-transport

media_type: text/plain

en: Datasets of Figure 4b

format: TXT

mimetype: text/plain

en: Datasets of Figure 3a

en: Datasets of Figure 4a

en: Datasets of Figure 2

en: Datasets of Figure 3b

en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).

 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow

en: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation


lidar-davos-wolfgang

maintainer: Patric Seifert

title_for_slug: lidar-davos-wolfgang

en: tropos lidar clouds polly raclets

en: Raman Lidar Davos

en: A portable Raman lidar system (Polly) from Leibnitz Institute for Tropospheric Research (Tropos) was deployed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Please use this [link](http://polly.tropos.de/?p=lidarzeit&Ort=39), to be directly forwarded to the Davos location and select the date of interest from the calendar (bold numbers). The data can be requested directly at the Polly team.

clouds

display_name: clouds

lidar

display_name: lidar

polly

display_name: polly

raclets

display_name: raclets

tropos

display_name: tropos

en: LIDAR Davos Wolfgang


en: picea spruce seed seminivorous cone conophagous-insects

en: See ReadMe

en: In 1989 a nation-wide survey on spruce seed and cone insects was carried out at 29 locations distributed across the 5 main geographic regions of Switzerland. The cones were incubated in a controlled environment chamber and the emerging insects were collected and identified. The cones were kept for three years to allow diapausing insects to emerge. The methods are described in more detail in the corresponding publications.

cone

display_name: cone

conophagous-insects

display_name: conophagous-insects

picea

display_name: picea

seed

display_name: seed

seminivorous

display_name: seminivorous

spruce

display_name: spruce

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: Survey of spruce seed and cone insects in Switzerland


disdrometer-data-gotschnagrat

title_for_slug: disdrometer-data-gotschnagrat

en: hydrometeors disdrometer precipitation visibility raclets

en: Disdrometer Data Gotschnagrat

en: The zip folder contains one netCDF file per day for Gotschnagrat from February 11 to March 27 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Gotschna_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en: A laser optical disdrometer (Parsivel² , OTT Hydromet) was deployed at Gotschnagrat (LON: 9.849, LAT: 46.859) to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms. The dataset contains information on precipitation amount and type for the period of February 11 to March 27 2019 at Gotschnagrat.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

visibility

display_name: visibility

educ

en: Education, culture and sport


sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: numerical-avalanche-forecasting snow-instability snowpack global-sensitivity-analysis snow-cover-modeling

en: Case ALL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case WL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

en: Sensitivity of modeled snow instability


experimental-rockfall-trilogy-of-surava

title_for_slug: experimental-rockfall-trilogy-of-surava

en: lying-deadwood rockfall induced-rockfall forest deposition-points in-situ acceleration gyroscope gnss

en: In situ sensor data cleared area

en: Matlab structure of all used StoneNode sensors which were several times released into the cleared forest state.

en: GNSS-deposition points of all experimental runs

en: Deposition points of all three forest states: original (ORG), deadwood (DW) and cleared deadwod (CLR)

en: In situ sensor data original forest

en: Matlab structure of all used StoneNode sensors which were several times released into the original forest state.

en: In situ sensor data deadwood

en: Matlab structure of each In situ StoneNode sensor installed in different rocks and several released through the Deadwood forest state.

en: ReleasePoint

en: Zipped shape file of releasepoint used in RAMMS::ROCKFALL Simulations. Slightly shiftet from originally measured in DNSS Position, as this position was on the flat forest road.

en: StoneNode Data Analysis Surava

en: Matlab script to detect frontal impacts (FI) on opposing objects within the in situ gathered StoneNode gyroscopic data of the Surava rockfall trilogy.

en: Zipped shapefile of the measured and in RAMMS::ROCKFALL used trees for the original (ORG) forest state.

en: Used DEM of the site, based on the LiDAR Pointcloud

en: Standing trees after forest management intervention

en: We performed an experimental trilogy of induced rockfall experiments in a spruce stand in Surava (CH) within (i) the original forest, (ii) after a logging job, resulting in lying deadwood and (iii) the cleared, deadwwod-free state. The three experimental set-ups allow quantifying the deadwood effect on overall rockfall risk for the same forest (slope, species) in three different conditions.

acceleration

display_name: acceleration

deposition-points

display_name: deposition-points

forest

display_name: forest

gnss

display_name: gnss

gyroscope

display_name: gyroscope

in-situ

display_name: in-situ

induced-rockfall

display_name: induced-rockfall

lying-deadwood

display_name: lying-deadwood

rockfall

display_name: rockfall

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: Experimental rockfall trilogy of Surava


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

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

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

educ

en: Education, culture and sport

en: Global Cryosphere Watch data survey


maintainer: Michael Lehning

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

en: ADS datasets and simulation inputs

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

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

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

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

Please cite:

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

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

alpine-precipitation

display_name: alpine-precipitation

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

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


weissfluhjoch-dataset-for-esm-snowmip

title_for_slug: weissfluhjoch-dataset-for-esm-snowmip

en: snow-depth weissfluhjoch snow snow-models esm-snowmip

en: Dataset Weissfluhjoch for ESM-SnowMIP

en: Conversion script

en:
Use this script to convert WFJ_optimaldataset_v6.smet to wfj.smet, the file that is used for the ESM-SnowMIP project. It also requires the file: WFJ_AirPressure_Data.zip

Use: bash create_wfj_dataset.sh > input/wfj.smet

mimetype: text/x-sh

en: ini file

en: This ini file is required by data-converter from MeteoIO version 1887 (http://models.slf.ch/p/meteoio/)

en: This Weissfluhjoch dataset is a processed version of the Weissfluhjoch dataset version 6 from https://doi.org/10.16904/6. This dataset was specially created for the ESM-SnowMIP project. Here it is documented how this dataset has been created.

esm-snowmip

display_name: esm-snowmip

snow-depth

display_name: snow-depth

snow-models

display_name: snow-models

weissfluhjoch

display_name: weissfluhjoch

en: Weissfluhjoch dataset for ESM-SnowMIP


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

en: Forest station data (NOB)

en: Data file.

en: Data plot of the field station (NOF)

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

en: Data plot of the forest station (NOB)

en: Site photo of the forest station (NOB)

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

mimetype: image/jpeg

en: Site photo of the field station (NOF)

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

en: Field station data (NOF)

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


lwf-lausanne-long-term-research-site

title_for_slug: lwf-lausanne-long-term-research-site

en: lwf plot infrastructure swiss-forest-lab meteorological-data forest meteorological-measurements

en: LWF plot Lausanne. Photo: Anne Thimonier Rickenmann, 2019

en: Lausanne Meteorological Data LWF

en:
![alt text](https://www.envidat.ch/dataset/9f35f697-a226-4719-aefd-b8c96fe5ae7c/resource/d6a48c12-62e6-4c04-9f63-a84d5964bc55/download/lwf_lausanne.jpg "LWF Lausanne")

LWF Plot Lausanne

- Community: Lausanne / canton VD
- Date of installation: 5 September 1994
- Size of the plot: 2 ha
- Altitude: 800-814 m
- Mean slope: 7%
- Geology (in German): Untergrund: Tertiär, Miozän, Burdigalien, obere Meeresmolasse; Sandstein - Oberfläche: Quartär, Würm; würmeiszeitliche Moräne
- Soil types (WSL) : Distric Cambisols
- Woodland association after EK72: 8: Milio-Fagetum
- Main tree species: Fagus sylvatica
- Management system: high forest
- Silvicultural system: group selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 59.9 cm
- Number of trees BHD >= 12 cm (2011): 650
- Maximum tree age: Abies alba 160-170 yr - Picea abies 160-170 yr - Fagus sylvatica 160-170 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/lausanne.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

educ

en: Education, culture and sport

en: LWF Lausanne long-term research site


maintainer: Frank Techel

en: snowpack-model avalanche natural-avalanches avalanche-size machine-learning

en: Data set DL was used for validation of the avalanche-day classifier and the avalanche-size estimator. The data set contains the quality-checked danger levels merged with the respective SNOWPACK simulations (Sections 2.3 and 3.3(2) in Mayer et al.).

en: Data set AV2 used for training the avalanche-size estimator (Sections 2.1.2 and 3.2 in Mayer et al.)

en: Data set AV3 was used for validation of the avalanche-day classifier (Sections 2.1.3 and 3.3(1) in Mayer et al.).

en: Data set AV1 was used for training the avalanche-day classifier (Sections 2.1.1, 2.2, and 3.1 in Mayer et al.).

en:
The data set contained in this repository was used in the analysis by Mayer et al. (2023):
Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.

avalanche

display_name: avalanche

avalanche-size

display_name: avalanche-size

machine-learning

display_name: machine-learning

natural-avalanches

display_name: natural-avalanches

snowpack-model

display_name: snowpack-model

en: Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations


maintainer: James W. Kirchner

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

en: Impulse Response Function script

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

en: Benchmark demonstration scripts and results

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: avalanche-danger-level avalanche avalanche-danger avalanche-observations stability-tests

en: Human-triggered avalanches

en:
This CSV contains the density of human-triggered avalanches relative to the total potential release area for each day and region with the same forecast sub-level. The following variables are contained:

- *date* - date
- *dangerLevel* - the danger level forecast valid on the day of interest
- *levelBullSub* - the sub-level forecast valid on the day of interest
- *rhoSz2* - density of avalanche larger or equal than size 2 per *pra*
- *rhoSz3* - density of avalanche larger or equal than size 3 per *pra*
- *pra* - total surface area in km^2, which is considered as a potential release area within the warning regions forecast with the same sub-level on the day of interest
- *nRegions* - number of warning regions with the same sub-level

en: Observed danger signs

en:
This CSV contains observational data on danger signs. The following variables are contained:
- *date* - date of the observation
- *sectorId* - this is the sector id as used in the Swiss avalanche forecast
- *whumpfCracksFrequency* - observations with three classes NONE, RARELY, OFTEN
- *dangerLevel* - danger level as forecast in the avalanche forecast the evening before
- *levelBullSub* - sub level as forecast in the avalanche forecast the evening before

en: Rutschblock test results

en:
This CSV contains the Rutschblock results used in the study. The following variables are provided:

- *date* - the date the Rutschblock was observed
- *sectorId* - the warning region identifier
- *rbStab* - the stability class, as described in Figure 3
- *dangerLevel* - the danger level as forecast for the respective warning region on the day of the observation
- *levelBullSub* - the danger level as forecast for the respective warning region on the day of the observation

en:
This is the freely available part of the data used in the publication by Techel et al. (2022): _On the correlation between a sub-level qualifier refining the danger level with observations and models relating to the contributing factors of avalanche danger_

- danger signs
- human triggered avalanches
- rutschblock test results (still to be added)
- extended column test results  (still to be added)

avalanche-danger

display_name: avalanche-danger

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-observations

display_name: avalanche-observations

stability-tests

display_name: stability-tests

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: Observational data: avalanche observations, danger signs and stability test results, Switzerland (2016/2017 to 2020/2021 )


en: meteorological-measurements forest plot infrastructure swiss-forest-lab lwf meteorological-data

en: Nationalpark Meteorological Data LWF

en: LWF plot Nationalpark. Photo: Oliver Schramm, 2011

en:
![alt text](https://www.envidat.ch/dataset/4a0ff376-83d2-4ae4-bf2e-c361eb050778/resource/51e98f2d-5524-4ea6-babb-9df0b9aba8f1/download/lwf_nationalpark.jpg "LWF Nationalpark")

LWF Plot Nationalpark

- Community: Zernez / canton GR
- Date of installation: 10 October 1995
- Size of the plot: 2 ha
- Altitude: 1890-1907 m
- Mean slope: 11%
- Geology (in German): Nacheiszeitlicher Schwemmfächer; kalkhaltige Moräne, Dolomite, Kalke, Tonschiefer, Rauhwacken
- Provisional soil types (WSL): Rendzic Leptosol
- Woodland association after EK72: 67: Erico-Pinetum montanae
- Main tree species: Pinus mugo
- Management system: high forest
- Silvicultural system: forest reserve
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 23.7 cm
- Number of trees BHD >= 12 cm (2011): 2450
- Maximum tree age: Pinus mugo 210 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/nationalpark.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

swiss-forest-lab

display_name: swiss-forest-lab

educ

en: Education, culture and sport

en: LWF Nationalpark long-term research site


en: elevation swiss-alps plant-insect-interaction trophic-networks dna-metabarcoding

en: Plant surveys

en: Plant trait (SLA, LDMC, C/N, punch strenght)

en: Information about the study sites

en: Plant-orthoptera trophic networks

en: This dataset is formatted as a pair-wise table where each rows correspond to a possible interaction between a plant and an insect species. For each possible interaction are provided the interaction strenght, the study site identity and elevation, the average plant functional trait for the punch, the SLA, the LDMC, the carbon and nitrogen content.

en: Orthoptera surveys

en: The study of ecological networks along environmental gradients has so far been limited by the difficulty of collecting large-scale dataset of comparable interactions. Here, we compiled 48 plant–orthoptera interaction networks at multiple locations across the Swiss Alps (i.e. along six elevation gradient). Trophic interactions were obtained by applying next-generation sequencing methods (e.g. DNA metabarcoding) on insect feces. Together with interaction data, we also provide data of the functional trait measurement (i.e. plant leaves traits and insect mandibular strength) expected to influence the realization of the interaction. Species inventories, feces samples and functionals traits were collected during the summer 2016 and 2017. Lab work and network reconstruction were completed in 2019.

dna-metabarcoding

display_name: dna-metabarcoding

elevation

display_name: elevation

plant-insect-interaction

display_name: plant-insect-interaction

swiss-alps

display_name: swiss-alps

trophic-networks

display_name: trophic-networks

en: Plant-Orthoptera trophic networks (Lif3web projet)