soil-matrix-chemistry-lwf

en:
Assessment of several chemical soil parameters at the beginning of the monitoring campaign. Most parameters were determined accordung to the manual of ICP-Integrated-Monitoring. The parameters were analysed for all genetic horizons in soil pits and additionally for fixed layers in the Intensive-Monitoring-Plots. In heterogeneous LWF-plots, several soil pits were analysed in order to assess the soil variability of the plot. The manual (in German) for soil sampling and soil analyses is available in www: http://e-collection.ethbib.ethz.ch/view/eth:25622?q=walthert. The results and data of the first soil survey are available (in German) in www: http://e-collection.ethbib.ethz.ch/view/eth:26275?q=walthert.
 Purpose:
The chemical characterisation of soil matrix down to the paraent material is realised with data from soil pits. The monitoring of the soil matrix in a frequency of roundly 15 years is effected with soil samples from Intensiv-Monitoring-Plots. For soil monitoring, pooled samples with 16 replicats are used down to a depth of 80 cm. The date of the second soil survey is not yet fixed.
 Manual Citation:
 * Walthert L, Lüscher P, Luster J, Peter B (2002) Langfristige Waldökosystem-Forschung LWF. Kernprojekt Bodenmatrix. Aufnahmeanleitung zur ersten Erhebung 1994-1999. ETHZ Zürich, e-collection , Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Vol. 269: 56 p. [10.3929/ethz-a-004375470](https://doi.org/10.3929/ethz-a-004375470)
 Paper Citation:
 * Walthert L, Blaser P, Lüscher P, Luster J, Zimmermann S (2003) Langfristige Waldökosystem-Forschung LWF. Kernprojekt Bodenmatrix. Ergebnisse der ersten Erhebung 1994-1999. ETHZ Zürich, e-collection , Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Vol. 276: 340 p.

en: long-term-forest-ecosystem-research icp-forests soil-matrix swiss-forest-lab soil-chemistry

en: Soil matrix chemistry LWF

title_for_slug: soil-matrix-chemistry-lwf

soil-chemistry

display_name: soil-chemistry

soil-matrix

display_name: soil-matrix


soil-morphology-lwf

$oid: OBSOLETE

en:
Description of several morphological soil properties at the beginning of the monitoring campaign. The properties were described for all genetic horizons in soil pits if possible down to the parent material. In heterogeneous LWF-plots, several soil profiles were described in order to assess the soil variability of the plot. The manual (in German) for soil sampling and soil analyses is available in www: http://e-collection.ethbib.ethz.ch/view/eth:25622?q=walthert. The results and data of the first soil survey are available (in German) in www: http://e-collection.ethbib.ethz.ch/view/eth:26275?q=walthert.
 Purpose:
Morphological soil properties are important for the calculation or interpretation of chemical or physical soil properties or processes. For instance, root distribution is an important input-parameter of water balance models or soil hydromorphy strongly affects the chemical status of soil matrix and soil solution.
 Manual Citation:
 * Walthert L, Lüscher P, Luster J, Peter B (2002) Langfristige Waldökosystem-Forschung LWF. Kernprojekt Bodenmatrix. Aufnahmeanleitung zur ersten Erhebung 1994-1999. ETHZ Zürich, e-collection , Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Vol. 269: 56 p. [10.3929/ethz-a-004375470](https://doi.org/10.3929/ethz-a-004375470)
 Paper Citation:
 * Walthert L, Blaser P, Lüscher P, Luster J, Zimmermann S (2003) Langfristige Waldökosystem-Forschung LWF. Kernprojekt Bodenmatrix. Ergebnisse der ersten Erhebung 1994-1999. ETHZ Zürich, e-collection , Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Vol. 276: 340 p.

en: long-term-forest-ecosystem-research swiss-forest-lab texture soil-classification soil-matrix icp-forests

envidat

approval_status: approved

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Soil morphology LWF

title_for_slug: soil-morphology-lwf

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: HTML

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

soil-classification

display_name: soil-classification

swiss-forest-lab

display_name: swiss-forest-lab

texture

display_name: texture


stem-discs-lwf

en:
Measurement of tree ring widts in tree stem disks according to 'Bräker O.U. (1993) Anleitung zur Entnahme von Stammscheiben auf Ertragskundeflächen'
 Purpose:
tree growth

en: long-term-forest-ecosystem-research tree-ring-width stem-disc swiss-forest-lab dendrochronology icp-forests

en: Stem discs LWF

title_for_slug: stem-discs-lwf

dendrochronology

display_name: dendrochronology

stem-disc

display_name: stem-disc

tree-ring-width

display_name: tree-ring-width


en:
Sampling of deadwood for density and chemical analysis during summer 2009
 Purpose:
Determination of N and C pools of deadwood
 Paper Citation:
 * WEGGLER, K.; DOBBERTIN, M.; JÜNGLING, E.; KAUFMANN, E.; THÜRIG, E., 2012. Dead wood volume to dead wood carbon: the issue of conversion factors. European Journal of Forest Research 131, 1423-1438.

en: long-term-forest-ecosystem-research lignin carbon nitrogen swiss-forest-lab deadwood icp-forests

en: Deadwood sampling at Sanasilva and LWF sites

carbon

display_name: carbon

deadwood

display_name: deadwood

lignin

display_name: lignin

nitrogen

display_name: nitrogen


en:
Two stem core samples of all trees of a subplot of approximately 1 a. Basal Area, Wood volume increment per area estimation
 Purpose:
Investigation of the relation between dendroparameters of dominance/surpression and stem growth. Abgleich Jahrringdaten mit Inventurdaten.
 Paper Citation:
 * Nehrbass-Ahles C, Babst F, Klesse S, Nötzli M, Bouriaud O, Neukom R, Dobbertin M, Frank D (2014) The influence of sampling design on tree-ring-based quantification of forest growth. Global Change Biology, 20 (9): 2867–2885. [doi: 10.1111/gcb.12599](http://doi.org/10.1111/gcb.12599)
 *  Klesse S, Etzold S, Frank D (2016) Integrating tree-ring and inventory-based measurements of aboveground biomass growth: research opportunities and carbon cycle consequences from a large snow breakage event in the Swiss Alps. European Journal of Forest Research, 135 (2): 297-311.

en: long-term-forest-ecosystem-research tree-selection-effects tree-ring-width swiss-forest-lab dendrochronology icp-forests

en: Dendrochronological analyses of tree core samples (subplot) LWF

tree-selection-effects

display_name: tree-selection-effects


en:
There were 2 cores taken at 1.3 m height from each of 10 trees outside the LWF plot
 Purpose:
influence of drought and nutrient availabiliy on tree growth
 Paper Citation:
 * Lévesque, M., Walthert, L., Weber, P., 2016. Soil nutrients influence growth response of temperate tree species to drought. J. Ecol. 104, 377-387.

en: swiss-forest-lab dendrochronology icp-forests dominant-trees long-term-forest-ecosystem-research tree-ring-width

en: Dendrochronological analyses of tree core samples (CATS) adjacent to LWF sites

dominant-trees

display_name: dominant-trees


en:
Two stem core samples of 12 to 20 trees outside the plot of each main species in the plot were taken at breast height (1.3 m above ground) with a SUUNTO corer. Tree ring width and density were determined with the instruments CATRAS and TSAP, the Densitometer DENDRO 2003 and a stereo-microscope. The selected trees included at least 12 pre-dominant or dominant trees and if possible also 4 subdominant or surpressed trees. NOTE: The samplings were carried out between 1996 and 1999 for most plots and in 2003 for the plot Lantsch. The cores cover a time span depending on the age of the oldest trees on a plot. On one plot the oldest sampled tree ring grew in the year 1646.
 Purpose:
Reconstruction of stand history and tree growth
 Manual Citation:
 * Paolo Cherubini, Matthias Dobbertin, 1997: Bestandesgeschichte (Dendrochronologie). In: Peter Brang (ed.), Aufnahmeanleitung LWF. Langfristige Waldökosystem-Forschung LWF, Eidg. Forschungsanstalt WSL, Birmensdorf, 3 S.
 *  Cherubini, P.; Dobbertin, M., 1998: The Swiss long-term forest ecosystem research: methods for reconstructing forest history. In: Borghetti, M. (ed): Società Italiana di Selvicoltura ed Ecologia Forestale (SISEF), Atti I: 19-22.
 Paper Citation:
 * Cherubini, P., Fontana, G., Rigling, D., Dobbertin, M., Brang, P., Innes, J.L., 2002. Tree-life history prior to death: two fungal root pathogens affect tree-ring growth differently. J. Ecol. 90, 839-850.

en: stand-history swiss-forest-lab dendrochronology icp-forests dominant-trees long-term-forest-ecosystem-research tree-ring-width

en: Dendrochronological analyses of tree core samples (dominant trees) LWF

stand-history

display_name: stand-history


en:
Continuous stem radius measurements to investigate carbon balance and water relations of trees
 Purpose:
Assessment of growth and water related stem changes

en: icp-forests tree-growth swiss-forest-lab stem-diameter long-term-forest-ecosystem-research

envidat

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

en: EnviDat: the Environmental Data Portal

en: Automated point dendrometer measurements at LWF sites

stem-diameter

display_name: stem-diameter

tree-growth

display_name: tree-growth


en:
Tree circumference change measurements from plastic girth bands
 Purpose:
Assessment of annual tree stem growth
 Manual Citation:
 * Dobbertin  M,  Neumann  M,  2016:  Part  V:  Tree  Growth.  In:  UNECE  ICP  Forests,  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria  for  harmonized  sampling,  assessment,  monitoring  and  analysis  of  the  effects  of  air  pollution  on  forests.  Thünen  Institute  of  Forest  Ecosystems, Eberswalde, Germany, 17 p. + Annex [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)
 Paper Citation:
 * Etzold S, Waldner P, Thimonier A, Schmitt M, Dobbertin M (2014) Tree growth in Swiss forests between 1995 and 2010 in relation to climate and stand conditions: Recent disturbances matter. Forest Ecology and Management, 311: 41-55. [doi: 10.1016/j.foreco.2013.05.040](http://doi.org/10.1016/j.foreco.2013.05.040)

en: Manual circumference band measurement LWF

envi

en: Environment

icp-forests

display_name: icp-forests


sapflow-measurements-lwf

en:
Continuous sap flow measurements with Granier-needles to investigate carbon balance and water relations of trees
 Purpose:
Assessment of water cycle processes

en: long-term-forest-ecosystem-research sapflow transpiration swiss-forest-lab tree-stem icp-forests

en: Sapflow measurements LWF

title_for_slug: sapflow-measurements-lwf

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

sapflow

display_name: sapflow

transpiration

display_name: transpiration

tree-stem

display_name: tree-stem


en:
Assessment of coarse woody debris on LWF plots using the line intersect method
 Purpose:
Assessing the amount of coarse woody debris
 Manual Citation:
 * Matthias Dobbertin, Nathalie Bretz Guby, 1997: Totholz. In: Peter Brang (ed.) LWF Aufnahmeanleitung. Langfristige Waldökosystem-Forschung LWF, Eidg. Forschungsanstalt WSL, Birmensdorf, 5 S.
 Paper Citation:
 * Bretz Guby, N.A., Dobbertin, M., 1996. Quantitative estimates of coarse woody debris and standing dead trees in selected Swiss forests. Glob. Ecol. Biogeogr. Lett. 5, 327-341.

en: swiss-forest-lab deadwood coarse-woody-debris long-term-forest-ecosystem-research icp-forests

en: Deadwood survey LWF 1995 - line intersect

coarse-woody-debris

display_name: coarse-woody-debris

swiss-forest-lab

display_name: swiss-forest-lab


en:
Assessment of coarse woody debris on LWF plots using full count methods on defined subplots (applying ForestBiota protocoll)
 Purpose:
Assessing the amount of coarse woody debris
 Manual Citation:
 * Franziska Heinrich, 2005: Totholz-Aufnahme mit ForestBIOTA Protokoll. Langfristige Waldökosystem-Forschung LWF. Eidg. Forschungsanstalt WSL, Birmensdorf, 7 S.
 *  ForestBiota, 2005. Stand structure assessment including deadwood. EU/ICP Forests Biodiversity Test-Phase (ForestBIOTA). [---](http://www.forestbiota.org)
 *  Fischer, R., Fischer, R., Seidling, W., Granke, O., Meyer, P., Stofer, S., Travaglini, D., 2007. ForestBIOTA – Testphase zur Erfassung der biologischen Vielfalt. AFZ/Wald 62, 1070.
 Paper Citation:
 * Seidling, W., Travaglini, D., Meyer, P., Waldner, P., Fischer, R., Granke, O., Chirici, G., Corona, P., 2014. Dead wood and stand structure - relationships for forest plots across Europe. IForest - Biogeosciences and Forestry 7, 269-281.

en: coarse-woody-debris long-term-forest-ecosystem-research icp-forests swiss-forest-lab deadwood

en: Deadwood survey LWF 2005 - subplot (Forets Biota)


foliar-analyses-lwf

en:
Foliage has been sampled every two years since 1995/1997 on 5-6 trees of the main  species on all LWF plots. Concentrations of macronutrients (N, P, K, Ca, Mg, S), carbon (C) and micronutrients are determined on leaves and current and previous year needles. The dry mass of 100 leaves or 1000 needles is determined as well.
 Purpose:
To assess the nutrient status of the forest stands and detect possible deficiencies or imbalances, which are often indicative of processes at the ecosystem level.
 Manual Citation:
 * Brang, P., Hug, C., Thimonier, A., Zehnder, U., 1997. Kapitel D1.5 Nährstoffversorgung von Nadeln und Blättern, in: Brang, P. (Ed.), Aufnahmeanleitungen aller Forschungsprojekte auf Flächen der Langfristigen Waldökosystem-Forschung (LWF). Eidg. Forschungsanstalt WSL, Birmensdorf, pp. 1-12.
 *  Rautio P, Fürst A, Stefan K, Raitio H, Bartels U, 2016: Part XII: Sampling and Analysis of Needles and Leaves.  In:  UNECE  ICP  Forests  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on   forests.   Thünen   Institute   of   Forest   Ecosystems,   Eberswalde,   Germany,   19   p.   +   Annex   [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)
 Paper Citation:
 * Thimonier A, Graf Pannatier E, Schmitt M, Waldner P, Walthert L, Schleppi P, Dobbertin M, Kräuchi N (2010) Does exceeding the critical loads for nitrogen alter nitrate leaching, the nutrient status of trees and their crown condition at Swiss Long-term Forest Ecosystem Research (LWF) sites?. European Journal of Forest Research, 129 (3): 443-461. [doi: 10.1007/s10342-009-0328-9](http://doi.org/10.1007/s10342-009-0328-9)

en: tree-nutrition long-term-forest-ecosystem-research icp-forests foliar-analyses swiss-forest-lab

en: Foliar analyses LWF

title_for_slug: foliar-analyses-lwf

foliar-analyses

display_name: foliar-analyses

tree-nutrition

display_name: tree-nutrition


en:
Assessment of damges, i.e. symptoms, extent and causes on trees.
 Purpose:
Occurrence and extent of diseases
 Manual Citation:
 * Matthias Dobbertin, Christian Hug, Andreas Schwyzer, Serge Borer, Hanna Schmalz, 2016: Aufnahmeanleitung Kronenansprachen auf den Sanasilva- und den LWF-Flächen (Version 10). Sanasilva Inventur und Langfristige Waldökosystem-Forschung, Birmensdorf, 86 S. [---](https://www.wsl.ch/fileadmin/user_upload/WSL/Wald/Waldentwicklung_Monitoring/LWF/Sanasilva/ssi_anleitung_v10_extern.pdf)
 *  Eichhorn  J,  Roskams  P,  Potocic  N,  Timmermann  V,  Ferretti  M,  Mues  V,  Szepesi  A,  Durrant  D,  Seletkovic   I,   Schröck   H-W,   Nevalainen   S,   Bussotti   F,   Garcia   P,   Wulff   S,   2016:   Part   IV:   Visual   Assessment  of  Crown  Condition  and  Damaging Agents.  In:  UNECE  ICP  Forests  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria  for  harmonized  sampling,  assessment,  monitoring  and  analysis  of  the  effects  of  air  pollution  on  forests.  Thünen  Institute  of  Forest  Ecosystems, Eberswalde, Germany, 49 p. + Annex [---](https://www.icp-forests.org/pdf/manual/2016/ICP_Manual_2017_02_part04.pdf )
 Paper Citation:
 * Michel A, Seidling W, Prescher A K (2018) Forest Condition in Europe. 2018 Technical Report of ICP Forests. Report under the UNECE Convention on Long-Range Transboundary Air Pollution (CLRTAP). BFW-Dokumentation 25/2018, BFW Austrian Research Centre for Forests, Vienna, 92 p. [---](http://icp-forests.net/page/icp-forests-technical-report)
 *  Köhl M, San-Miguel-Ayanz J, Cools N, de Vos B, Fischer R, Camia A, Granke O, Hiederer R, Lorenz M, Montanarella L, Mues V, Nagel H-D, Poker J, Scheuschner T, Schlutow A (2011) Maintenance of Forest Ecosystem Health and Vitality. State of Europe s forests: status and trends in sustainable forest management in Europe 29-49. [---](http://www.foresteurope.org/documentos/State_of_Europes_Forests_2011_Report_Revised_November_2011.pdf)
 *  Brang P., 1998: Sanasilva-Bericht 1997. Zustand und Gefährdung des Schweizer Waldes – eine Zwischenbilanz nach 15 Jahren Waldschadenforschung. Berichte der Eidg. Forschungsanstalt für Wald, Schnee und Landschaft, Vol. 345. Eidg. Forschungsanstalt WSL, Birmensdorf, 102 S. [---](https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:14555)

en: damage-cause-assessment swiss-forest-lab forest-vitality icp-forests forest-condition long-term-forest-ecosystem-research

envidat

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

en: EnviDat: the Environmental Data Portal

en: Crown Condition Assessment and Damage Cause Assessment LWF

damage-cause-assessment

display_name: damage-cause-assessment

forest-condition

display_name: forest-condition

forest-vitality

display_name: forest-vitality


en:
Assessment of coarse woody debris on LWF plots using the line intersect method (repetition of the 1995 survey)
 Purpose:
Assessing the amount of coarse woody debris
 Manual Citation:
 * Matthias Dobbertin, Nathalie Bretz Guby, 1997: Totholz. In: Peter Brang (ed.) LWF Aufnahmeanleitung. Langfristige Waldökosystem-Forschung LWF, Eidg. Forschungsanstalt WSL, Birmensdorf, 5 S.

en: swiss-forest-lab coarse-woody-debris long-term-forest-ecosystem-research icp-forests deadwood

en: Deadwood survey LWF 2013 - line intersect

envi

en: Environment

deadwood

display_name: deadwood


en:
NH&8323; concentrations were measured at 11 LWF plots (1999/2000) with Zürcher passive samplers (Palmes-type diffusion tubes with an acidic solution as absorbent) during one year. Three samplers per site and period (usually 14 days) were installed in the open area of the LWF plots and, at Beatenberg, Novaggio and Vordemwald, under the forest as well (weather station). In 2014, NH&8323; concentrations were measured again at 14 plots, using two Radiello samplers per site and period (usually 28 days). At Lausanne and Vordemwald, concentrations were also measured below the canopy.
 Purpose:
To assess air concentrations of ammonia (NH&8323;) and, using deposition velocities available from the literature, to quantify the dry deposition of NH&8323; (alternative method to the throughfall method). The LWF plots were part of a larger network covering the main regions of Switzerland. One objective of this larger network was to compare measured and modelled concentrations.

en: ambient-air-quality passive-sampling long-term-forest-ecosystem-research nitrogen swiss-forest-lab ammonia icp-forests

en: Passive sampling of NH3 LWF

ambient-air-quality

display_name: ambient-air-quality

ammonia

display_name: ammonia

nitrogen

display_name: nitrogen

passive-sampling

display_name: passive-sampling


en:
Assessment of coarse woody debris on LWF plots using the line intersect method and full count methods on subplots (repetition of the 2005 survey)
 Purpose:
Assessing the amount of coarse woody debris
 Manual Citation:
 * ForestBiota, 2005. Stand structure assessment including deadwood. EU/ICP Forests Biodiversity Test-Phase (ForestBIOTA). [---](http://www.forestbiota.org)

en: swiss-forest-lab deadwood coarse-woody-debris long-term-forest-ecosystem-research icp-forests

en: Deadwood survey LWF 2013 - subplot

icp-forests

display_name: icp-forests


en:
Assessment of coarse woody debris on Sanasilva plots (16x16 km grid) using the full count methods on subplots applying BioSoil protocoll
 Purpose:
Assessing the amount of coarse woody debris
 Manual Citation:
 * A. Bastrup-Birk, P. Nevile, G. Chirici, T. Houston, 2006: The BioSoil ForestBiodiversity Field Manual Version 1.0/1.1/1.1A for the Field Assessment 2006-07. Working Group on ForestBiodiversity, Forest Focus Demonstration Project BioSoil 2004-2005, 47 S.

en: coarse-woody-debris long-term-forest-ecosystem-research icp-forests deadwood swiss-forest-lab

en: Deadwood survey Sanasilva 2013

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research


en:
NO&8322; concentrations were measured at 11 LWF plots (1999/2000) with passive samplers (Palmes-type diffusion tubes) during one year. Three samplers per site and period (usually 14 days) were installed in the open area of the LWF plots and, at Beatenberg, Novaggio and Vordemwald, under the forest as well (weather station). In 2014, NO2 concentrations were measured again at 14 plots, using two samplers per site and period (usually 28 days). At Lausanne and Vordemwald, concentrations were also measured below the canopy.
 Purpose:
To assess air concentrations of nitrogen dioxide (NO2) and, using deposition velocities available from the literature, to quantify the dry deposition of NO2 (alternative method to the throughfall method).

en: nitrogen-dioxide long-term-forest-ecosystem-research icp-forests swiss-forest-lab ambient-air-quality

en: Passive sampling of NO2 LWF

nitrogen-dioxide

display_name: nitrogen-dioxide


tree-diameter-and-height-inventory-lwf

en:
Tree circumference, height, height to crown base measurements, mortality, decay class and removal assessment on LWF plots
 Purpose:
Assessment of tree and forest growth
 Manual Citation:
 * Matthias Dobbertin, Christian Hug, 1999: Vorläufige Feld-Aufnahmeanleitung für die BHU- und Höhen-Inventur auf LWF-Flächen (V1.0), Langfristige Waldökosystem-Forschung, Eidg. Forschungsanstalt WSL, Birmensdorf, 18 S.
 *  Christian Hug, Matthias Dobbertin, Chris Nussbaumer, Yves Stettler, 2010: Provisorische Aufnahmeanleitung für die Brusthöhenumfang- und Höheninventur auf LWF-Flächen. Langfristige Waldökosystem-Forschung, Eidg. Forschungsanstalt WSL, Birmensdorf, 29 S.
 *  Christian Hug, Chris Nussbaumer, Yves Stettler, 2014: Aufnahmeanleitung für die Brusthöhenumfang und Höheninventur auf LWF-Flächen. Langfristige Waldökosystem-Forschung, Eidg. Forschungsanstalt WSL, Birmensdorf, 36 S.
 *  Dobbertin  M,  Neumann  M,  2016:  Part  V:  Tree  Growth.  In:  UNECE  ICP  Forests,  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria  for  harmonized  sampling,  assessment,  monitoring  and  analysis  of  the  effects  of  air  pollution  on  forests.  Thünen  Institute  of  Forest  Ecosystems, Eberswalde, Germany, 17 p. + Annex [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)
 Paper Citation:
 * Etzold S, Waldner P, Thimonier A, Schmitt M, Dobbertin M (2014) Tree growth in Swiss forests between 1995 and 2010 in relation to climate and stand conditions: Recent disturbances matter. Forest Ecology and Management, 311: 41-55. [doi: 10.1016/j.foreco.2013.05.040](http://dx.doi.org/10.1016/j.foreco.2013.05.040)

en: swiss-forest-lab long-term-forest-ecosystem-research tree-growth lwf icp-forests

envidat

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

en: EnviDat: the Environmental Data Portal

en: Tree Diameter and Height Inventory LWF

title_for_slug: tree-diameter-and-height-inventory-lwf

lwf

display_name: lwf

tree-growth

display_name: tree-growth


scolytidae

en:
Scolytidae data from all historic up to the recent projects (29.10.2019) of WSL, collected with various methods in forests of different types.
Data are provided on request to contact person against bilateral agreement.

en: forest saproxylic-insects biodiversity coleoptera dead-wood bark-beetles

en: Scolytidae

title_for_slug: scolytidae

envi

en: Environment

format: TXT

bark-beetles

display_name: bark-beetles

biodiversity

display_name: biodiversity

coleoptera

display_name: coleoptera

dead-wood

display_name: dead-wood

forest

display_name: forest

saproxylic-insects

display_name: saproxylic-insects


en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal 'Methods in Ecology and Evolution'.

en: ecohydrology root-zone review stable-water-isotopes uncertainties plant-water-uptake endmember-mixing-models

en: Data set of: Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources

format: PDF

ecohydrology

display_name: ecohydrology

endmember-mixing-models

display_name: endmember-mixing-models

plant-water-uptake

display_name: plant-water-uptake

review

display_name: review

root-zone

display_name: root-zone

stable-water-isotopes

display_name: stable-water-isotopes

uncertainties

display_name: uncertainties


en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).
The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science 30: 1122–1133.
The excel file contains 5 sheets:
1) Plot information
2) Bryophyte data with species specific information, separated per substrate
3) Macrolichen data with species specific information, separated per substrate
4) Bryophyte data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 2 and 4 might therefore differ slightly.
5) Macrolichen data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 3 and 5 might therefore differ slightly.

en: endemic-species bryophyte climate-change photobiont moss liverwort disturbance functional-taxonomic-group climate-change-impact lichen-growthform madeira-island endemic functional-taxonomic-groups lichen-growth-form biodiversity bryophyte-life-strategy elevational-gradient lichen

en: MadCrypto – Bryophyte and macrolichen diversity in laurel forests of Madeira

format: XLS

bryophyte

display_name: bryophyte

bryophyte-life-strategy

display_name: bryophyte-life-strategy

climate-change

display_name: climate-change

climate-change-impact

display_name: climate-change-impact

disturbance

display_name: disturbance

elevational-gradient

display_name: elevational-gradient

endemic

display_name: endemic

endemic-species

display_name: endemic-species

functional-taxonomic-group

display_name: functional-taxonomic-group

functional-taxonomic-groups

display_name: functional-taxonomic-groups

lichen

display_name: lichen

lichen-growth-form

display_name: lichen-growth-form

lichen-growthform

display_name: lichen-growthform

liverwort

display_name: liverwort

madeira-island

display_name: madeira-island

moss

display_name: moss

photobiont

display_name: photobiont


en:
Since 1997 soil solution samplers are installed in certain plots of the Intercantonal Forest Observation Program *[Intercantonal Forest Observation Program](https://www.envidat.ch/dataset/interkantonale-walddauerbeobachtung-wdb)*. There solution is analysed monthly at the moment (2023) in 46 Swiss forest sites. The sites cover a uniquely broad range of Swiss forest soils, with gradients in elevation (290-1870 m), precipitation (915-2211 mm), base saturation averaged over the top 40 cm (6-100%) and total N deposition (10-81 kg ha&8315;&185;a&8315;&185;).
For each site and soil depth, eight soil solution samplers (ceramic suction cup) are installed in the topsoil and five in the subsoil. Actual depths varied according to soil condition but a frequent sampling design is 20, 50 and 80 cm. Following the monthly sampling of the soil solution, the samples from the same location and from the same depth are pooled. Monthly data about following chemical soil solution indicators are measured:
 * pH and conductivity
 * Anions: Cl&8315;, NO&8323;&8315;, SO&8322;&8315;
 * Kations: Ca&178;&8314;, Mg&178;&8314;, K&8314;, Na&8314;, Mn&178;&8314;, NH4&8314;, Altot, Alorg
 * DOC
More information about the analytical methods and results can be found in *[Braun & Tresch (2020)](https://doi.org/10.1371/journal.pone.0227530)*.
The long-term measurements of the soil solution provide the basis for revealing changes in forest soil quality. The chemical composition of the soil solution allows comparison and assessment of internationally agreed critical values and criteria on acid-base status (indicators: BC/Al ratio, pH value, N concentrations in the soil solution) as well as the leaching of N, Al and basic cations.

en: swiss-forest-lab wdb long-term-monitoring long-term-forest-ecosystem-research soil-solution-chemistry

en: Soil solution monitoring of the Intercantonal Forest Observation Program

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

long-term-monitoring

display_name: long-term-monitoring

soil-solution-chemistry

display_name: soil-solution-chemistry

swiss-forest-lab

display_name: swiss-forest-lab

wdb

display_name: wdb


en: In order to quantify effects of ozone on Swiss forest ozone flux calculations are needed. Currently 5 stations are operated to measure the ozone load on forests. These data form the basis for ozone flux calculations. The ozone flux calculation is carried out with the DO3SE model (Büker et al. 2012). This can then be used for epidemiological evaluations for the Swiss forest (Thomas et al. 2005, Braun et al. 2014, Braun et al. 2017, Braun et al. 2020, Braun et al. 2021, Braun et al. 2022).

en: ozone swiss-forest-lab wdb long-term-monitoring long-term-forest-ecosystem-research

en: Ozone measurement and analysis in the Intercantonal Forest Observation Program

ozone

display_name: ozone


en:
The IAP has been monitoring forest health since 1984 on behalf of cantonal forest and environmental offices and in collaboration with the Federal Office for the Environment. In the Intercantonal Forest Observation Program (WDB) project, the health, growth and nutrient supply of beech, spruce and oak in managed forest ecosystems are studied on about 190 forest plots. The plots cover the most important gradients of Swiss forests, such as different climatic conditions in precipitation, temperature, as well as differences in soil and in the input of air pollutants such as nitrogen and ozone. Currently (date 2020) 94 plots with 6268 beech trees, 75 plots with 4547 spruce trees, and 50 plots with 1858 oak trees are surveyed in the Intercantonal WDB. Annual investigations include crown condition and tree loss by mortality, uprooting and stem breakage. Every 4 year stem increment is measured on all 12’673 trees and 8 branches are harvested by helicopter very 4 years and subsequently examined for the following parameters:
- Nutrient analysis in foliage (N, P, K, Ca, Mg, Mn)
- Leaf area and weight
- Shoot growth (retrospective for Norway spruce, beech and oak)
- Discoloration and parasite infestation
- Fructification of beech (retrospectively)

In addition, soil samples for analysing the chemistry of the solid phase are taken every 12 years. Also changes in the ground vegetation is assessed every 12 years. On a subset of the plots soil solution is sampled monthly *[(Soil solution monitoring of the Intercantonal Forest Observation Program)](https://www.envidat.ch/dataset/soil-solution-monitoring-of-the-intercantonal-forest-observation-program)*. In addition, soil water potential and soil moisture are measured in a subset of sites of the Intercantonal Forest Observation Program *[(Soil moisture and soil water potential measurements of the Intercantonal Forest Observation Program)](https://www.envidat.ch/dataset/soil-water-measurements-wdb)*.
These data allow to gain a unique understanding of the main factors influencing the forest and the most important changes, which are very valuable especially in the context of climate change. The insights are of great importance for cantonal and regional forest planning as well as for national and international determinations of critical loads and limits (e.g. CLempN, UNECE CLRTAP).

envidat

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

en: EnviDat: the Environmental Data Portal

en: Intercantonal Forest Observation Program – Interkantonale Walddauerbeobachtung (WDB)

iap

display_name: iap

long-term-data-sets

display_name: long-term-data-sets


en:
Since 2001 soil water content and soil water potential are measured in 40 plots of the *[Intercantonal Forest Observation Program](https://www.envidat.ch/dataset/interkantonale-walddauerbeobachtung-wdb)*. Soil water content and soil water potential is measured in hourly resolution in 3 depths according to the soil horizons.
The following parameters about soil water balance are measured:
 * Volumetric soil water content (SMT-100, Truebner)
 * Soil water potential (TEROS21, METER)
More information about the analytical methods and results can be found in *[Braun et al. (2021)](https://doi.org/10.5281/zenodo.5724756)*.

en: swiss-forest-lab soil-water-potential wdb long-term-monitoring long-term-forest-ecosystem-research soil-moisture-water-content

en: Soil moisture and soil water potential measurements of the Intercantonal Forest Observation Program

envi

en: Environment

soil-moisture-water-content

display_name: soil-moisture-water-content

soil-water-potential

display_name: soil-water-potential


en:
Raw data supporting the paper "Countrywide wild bee taxonomic and functional diversity reveal a spatial mismatch between alpha and beta-diversity facets across multiple ecological gradients". It contains taxonomic and functional metrics in 3343 community-plots distributed across Switzerland. The calculated metrics are:
- Alpha taxonomic community metrics: species richness and Shannon diversity
- Alpha functional community metrics: Functional richness (using the Trait Onion Peeling index, TOP), functional eveness (using the Trait Even Distribution index, TED) and the functional dispersion.
- Community weighted means of 8 functional traits
- The local community contributions on the functional and taxonomic beta diversity (LCBD).
The dataset also includes the following:
- The used predictors to model the spatial distribution of the community metrics (climate PCA, vegetation PCA, land-use metrics, beekeeping intensity).
-The three types of protected areas, defined according to the protective measures.
- The model evaluation, variable importance and partial dependece data.

en: biodiversity predictive-modelling functional-diversity wild-bee community-indices resource-availability beta-diversity protected-areas urbanization anthophila elevation-gradient hymenoptera switzerland climate

en: Data on wild bee taxonomic and functional diversity in Switzerland

en:
Resource Title: Spatial environmental predictors and responses
    Size: 984006661 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/36017634-948d-4bf1-a4e1-c547af9e4d93/download/spatial_predictors_responses.zip
    Description: The .zip file contains the rasters of the environmental predictors and the predicted responses:
-   **Environmental predictors.**:

    -   The raster on the climate contains the PCA axes on the CHELSA variables.

    -   The raster on resource availability contains the PCA axes on plant communities

    -   The raster on land-use contains the land-use composition at 2500 m.

    -   The raster on beekeeping intensity contains thedensity of hives within 2500 m

-   **Responses**:
- The predicted responses (alpha and beta taxonomic and functional metrics and the traits) without masking the waterbodies, used in the analyses (Diversity_stack_revised_Selected_descriptors.tif). It contains a stack of 20 responses in this order:  "belowgound", "cleptoparasite","FDis", "feeding_specialization", "FEve", "FRic", "InvSimpson", "ITD","LCBD_fun" ,"LCBD_taxo","phenoduration", "phenostart", "Rao", "Richness", "Shannon",  "Simpson","solitary", "TED", "tong_length", "TOP".  "FEve", "FRic", "InvSimpson","Rao", "Simpson" were not included in the linked paper.

-  The predicted responses (alpha and beta taxonomic and functional metrics and the traits)  masking the waterbodies  (masked.stack.all.diversity.tiff). It includes a stack of 15 responses (excludes "FEve", "FRic", "InvSimpson","Rao", "Simpson").

format: ZIP

media_type: application/zip

en:
Resource Title: Wild bee trait data
    Size: 48679 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/f466af1e-3644-420d-8346-b6f0e9a42281/download/19012023_bee_traits_selected.txt
    Description: Text file containing the scores of the 8 used traits. The data originates from the European trait database (compiler: Stuart Roberts; pollinator loss module of the EU- FP6 ALARM project).

media_type: text/plain

en:
Resource Title: Taxonomic and functional metrics in the community plots
    Size: 937285 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/c3856c2f-33da-4b5e-a54a-990297987e74/download/diversity_data_complete.txt
    Description: Response data used for the modeling.
Lat: latitude community plot
Lon: longitude community plot
Richness: species richness
Shannon: Shannon diversity index
FDis: functional dispersion
TOP: Trait Onion Peeling (functional richness)
TED: Trait Even Distribution (functional evenness)
LCBD_taxo: local community contributions to taxonomic beta diversity
LCBD_fun: local community contributions to functional beta diversity
ITD: community weighted means inter-tegula distance
feeding_specialization: community weighted means feeding specialization
tong_length: community weighted means tongue length
phenostart: community weighted means start of the phenology
phenoduration:  community weighted means duration of the phenoloy
cleptoparasite: community weighted means cleptoparasites
belowgound:  community weighted means proportion belowground
solitary: community weighted means proportion solitary

en:
Resource Title: Protected areas
    Size: 1627789 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/49c05193-0e66-47d7-8374-3e1883621f04/download/pa.zip
    Description: Protected areas considered, divided in three groups and rasters: protected areas sensu stricto, protected areas sensu lato and all protected areas

en:
Resource Title: Variable importance, model evaluation, partial dependence plots
    Size: 245681 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/221fbcd3-22dd-42d1-801b-de7136611517/download/variable_importance_pdp_evaluation.zip
    Description: The compress file containes a set of txt files with the variable importance, the model evaluation metrics and the partial dependence plots of each of the responses used (alpha and beta taxonomic and functional diversity metrics; community weighted means of 8 functional traits)

en:
Resource Title: Elevation and waterbodies
    Size: 10222802 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/89138c9e-5bf6-4ef5-b8d2-d73f20b8b6de/resource/3b569121-6eb6-4b44-a703-2abad45c0c56/download/elevation_waterbodies.zip
    Description: Zip file containing two rasters: the digital elevation model of Switzerland and the waterbodies of Switzerland.

anthophila

display_name: anthophila

beta-diversity

display_name: beta-diversity

biodiversity

display_name: biodiversity

climate

display_name: climate

community-indices

display_name: community-indices

elevation-gradient

display_name: elevation-gradient

functional-diversity

display_name: functional-diversity

hymenoptera

display_name: hymenoptera

predictive-modelling

display_name: predictive-modelling

protected-areas

display_name: protected-areas

resource-availability

display_name: resource-availability

switzerland

display_name: switzerland

urbanization

display_name: urbanization

wild-bee

display_name: wild-bee


en:
Notice:  Changes to the dataset are still possible. Please do not use this dataset until the final publication with a DOI. Contact the authors if you have questions about this.
This dataset contains measurements of stable water isotopes in snow and vapor on the Weissfluhjoch from different field campaigns (Winter 2017 (Trachsel, 2019), January 2020, December 2020, and March 2021 (Sadowski et al., 2022).
Snow profiles and surface samples are available at different frequencies for each campaign. Please see "Data_description.pdf" for details.
Scripts and SNOWPACK simulations used in (Trachsel, 2019) and (Sadowski et al., 2022) are also provided.

en: weissfluhjoch paleoclimate snow stable-water-isotopes latent-heat natural-tracer post-depositional-processes sublimation

en: Stable Water Isotopes in snow and vapor on the Weissfluhjoch

en:
Resource Title: Data_description
    Size: 5798685 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/f9e9342d-939c-4f55-aeeb-94197ab8572e/download/data-description.pdf
    Description: Details on the data collected during the different field campaigns and available in this dataset.
Information on the sampling procedure of the snow isotopes samples.

media_type: application/pdf

en:
Resource Title: Stable water isotopes in snow
    Size: 42408 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/258c1ad7-dc54-408d-85f4-927d1ee052ec/download/snow_isotopes.zip
    Description: Stable water isotopes in snow measurements

en:
Resource Title: Stable water isotopes in vapor
    Size: 1791813201 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/459c968f-fdce-43e9-aefc-88e3e2c0f1a5/download/vapor_stable_water_isotopes.zip
    Description: Stable water isotopes in vapor measurements. Processed (calibrated) and raw data for February - June 2017. Raw data for January and February 2020.
For the time in between July 2017 and April 2020, raw vapor isotopic measurements are available, but no calibrations were performed during that time. For data delivery, please contact one of the authors.
This folder also contains the post-processing scripts for stable water isotopes in vapor measurements.

en:
Resource Title: Read_me
    Size: 1040 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/a9b0c81d-fd96-4f43-b7ec-5910aa7b35ed/download/read_me.txt
    Description: Details about the different folders

en:
Resource Title: Weather
    Size: 377318265 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/c3dabb24-bcac-41f2-8a7a-e13bad3d0705/download/weather.zip
    Description: Meteorological data, snow height measurement, and SNOWPACK simulations covering the different field campaigns.

latent-heat

display_name: latent-heat

natural-tracer

display_name: natural-tracer

paleoclimate

display_name: paleoclimate

post-depositional-processes

display_name: post-depositional-processes

snow

display_name: snow

stable-water-isotopes

display_name: stable-water-isotopes

sublimation

display_name: sublimation

weissfluhjoch

display_name: weissfluhjoch


en:
The European Snow Booklet (ESB) is a book of reference for snow measurements that has been produced through collaboration with many European snow practitioners and snow scientists in the framework of the European Cooperation in Science and Technology (COST) Action ES1404 “A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction (HarmoSnow)”. The ESB provides a unique collection of information about operational snow observations in the European countries and the methods used to perform basic measurements of snow on the ground: snow depth (HS), depth of snowfall (HN), water equivalent of the snow cover (SWE) and presence of snow on the ground (PSG). Information and station metadata (for example location, elevation) for these basic snow variables were collected through a comprehensive survey, the ESB questionnaire between August 2017 and March 2018. Numerous institutions of 38 European countries provided detailed information describing the status of the operational snow observations and the methods used at the time of the survey. Based on the information provided, a country report was written for each European country. Similarities and differences among the countries, that is, the choice of snow variables to be measured, the measurement principles applied, the number of stations, or the spatial and elevational station distribution are pointed out. Thus the collection of country reports demonstrates the relevance of snow measurements for each country. Thus, the intention of the ESB is to foster better knowledge transfer regarding snow measurements between the snow science and operational communities and to improve the communication of information to the general public.
For detailed information on the European countries, we refer to the ESB, which can be downloaded here (envidat.ch). Please note that the ESB is not a living document and information and station metadata are from August 2017 till March 2018, except for Latvia (metadata updated in December 2018).

envidat

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

en: EnviDat: the Environmental Data Portal

en: European Snow Booklet – an Inventory of Snow Measurements in Europe

envi

en: Environment

en:
Resource Title: COST European Snow Booklet (ESB) - DORA Link
    Size: 1 bytes
    Format: No Info
    URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:20198
    Description: DORA Link of the COST European Snow Booklet (ESB).

en:
Resource Title: List of authors and list of the editorial board of the European Snow Booklet
    Size: 14675 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/492dfd3d-99d4-4cfb-b129-77e98344a237/resource/1e7628d8-50b7-45cc-8974-b50907b365fc/download/list_of_authors_and_editorial_board.xlsx
    Description: Here you can find the list of all lead authors of the different chapters of the European Snow Booklet (ESB).
In addition a list of the editorial board that reviewed the ESB is given.

en:
Resource Title: European Snow Booklet public metadata
    Size: 1536715 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/492dfd3d-99d4-4cfb-b129-77e98344a237/resource/d05304f6-6862-4f6c-b4b9-3601201cc824/download/metadata.xlsx
    Description: The core of the European Snow Booklet (ESB), the country reports of 38 European countries, are based on information and metadata on snow measurements collected through a comprehensive survey, the ESB Questionnaire, between August 2017 and March 2018. The station metadata (for example location, elevation, measurement start date) from each country was provided by one or several institutions responsible for snow observations. By answering the questionnaire the contacts agreed that the information and metadata provided could be presented in the ESB. For cases where institutions indicated that information on station locations could be made publicly available, the metadata for the variables snow depth (HS), depth of snowfall (HN) and water equivalent of the snow cover (SWE), is additionally provided here for download (METADATA.xlsx).
Please note that not all institutions gave permission to publish their station metadata. This metadata has to be requested from the non-personal institution contacts provided in the METADATA.xlsx file. In some cases, however, no institutional contact is available and thus the contact of the country representative who filled in the questionnaire is used.
For current, updated station metadata we refer to the (non-personal) institutional contacts provided in METADATA.xlsx and/or the institution webpages. Note, however, that we cannot guarantee for completeness of the dataset for all countries because operational networks are prone to changes.

en:
Resource Title: COST European Snow Booklet (ESB)
    Size: 136492575 bytes
    Format: application/pdf
    URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A20198/datastream/PDF/Haberkorn-2019-European_Snow_Booklet-%28published_version%29.pdf
    Description: Please find here the web version of the COST European Snow Booklet (ESB).

depth-of-snowfall

display_name: depth-of-snowfall

harmonisation-of-snow-measurements

display_name: harmonisation-of-snow-measurements

snow-depth

display_name: snow-depth

snow-measurement-methods

display_name: snow-measurement-methods

water-equivalent-of-the-snow-cover

display_name: water-equivalent-of-the-snow-cover


en: snowpackBuoyantPimpleFoam is a  two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).

en: snow-density-profile vapor-transport openfoam numerical-simulation convection-in-snow

en: snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport


mountain-permafrost-hydrology

en: This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited.

en: permafrost-degradation mass-movements climate-change-impacts mountain-permafrost-hydrology monitoring-techniques ice-rich-permafrost

en: Mountain Permafrost Hydrology

title_for_slug: mountain-permafrost-hydrology

climate-change-impacts

display_name: climate-change-impacts

ice-rich-permafrost

display_name: ice-rich-permafrost

mass-movements

display_name: mass-movements

monitoring-techniques

display_name: monitoring-techniques

mountain-permafrost-hydrology

display_name: mountain-permafrost-hydrology

permafrost-degradation

display_name: permafrost-degradation


latent-heat-flux-over-snow

en:
This dataset contains three case studies where are compared the latent heat flux calculated using the Eddy Covariance (EC) method, the Monin-Obukhov Similarity Theory (MOST) and the modified Bowen-ratio method presented in the research paper "Using the sensible heat flux eddy covariance based exchange coefficient to calculate latent heat from moisture mean gradients overn snow". We include the datasets, the code and the ini files for reproduce the research.
The dataset contain two files in zip format:
  1. Sowftware-Heat_fluxes_on_snow: Jupyter notebooks to reproduce the method and the figures of the paper.
  2. data.zip: Datasets used to compare the methods

en: meteo central-asia swiss-alps meteo-station meta snow

en: Latent Heat Flux over Snow

title_for_slug: latent-heat-flux-over-snow

en:
Resource Title: Sowftware-Heat_fluxes_on_snow
    Size: 3322132 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/da84224e-d225-43fd-8986-7d8069362adc/download/software.zip
    Description: This file includes the Jupyter notebooks to reproduce the method and the figures of the paper. This consists in:
- 3 files for Alpine Valley
- 3 files for Antarctic Plateau
- 1 file for application at Pamir mountains

en:
Resource Title:
    Size: 29787181 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/7ab59fe6-dc0b-4dfc-b5c1-e8c3287cb54e/download/data.zip
    Description: This file includes the datasets used to compare the methods. It includes:
- EC Postprocessed heat flux data from sonic anemometer and gas analyzer. Files named: [SITE]_(NO)WatVap_eddypro_OUT_[type].csv
- MOST Postprocessed data from SNOWPACK model. Files named [SITE]_[year]_[METHOD].smet
- Configuration files for SNOWPACK (.ini files) and Eddypro (.eddypro files)

[SITE] correspond to DISHMA/DISH or Alpine Valley, PLATEAU/PLAT for Antarctic Plateau, TAJ for Pamir mountains (no EC)
[type] correspond to fluxnet, full_output or qc_details
[METHOD] indicates the stability model used and/or the roughness length

central-asia

display_name: central-asia

meta

display_name: meta

meteo

display_name: meteo

meteo-station

display_name: meteo-station

snow

display_name: snow

swiss-alps

display_name: swiss-alps


en:
We processed Sentinel-2 images from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019). The respective parameter files can be found here: [Github](https://github.com/TLKoch/Sentinel-2_CH). All the images consist of several TB and therefore, access will be granted upon request.
The available bands (in spatial reference system EPSG 3035) are the following:
*Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2*
The available indices (in spatial reference system EPSG 3035) are the following:
*CCI, CIRE, NDWI/NDMI, NDVI, EVI*
Further indices might be provided upon request.
 Processing
After downloading Level 1 data for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR) with an estimated cloud cover of less than 80 \%, we processed the data further with FORCE v. 3.7.8-12.
FORCE was used for radiometric correction, including atmospheric and topographic corrections using the digital elevation model from Copernicus Land Monitoring Service (EU-DEM v. 1.1), with a 25 m spatial resolution, a bidirectional reflectance distribution function (BRDF) correction, and an adjacency effect correction. For cloud masking, the improved Fmask algorithm with buffers of 300 m for clouds, 90 m for shadows, and 30 m for snow were used (Frantz et al. 2018; Zhu et al. 2015). All bands were resampled using cubic convolution to 10 m spatial resolution. Shadows, low and poor illumination as well as saturation were masked out. The co-registration of all images  was made with monthly composites of near-infrared Landsat Collection 2 images from 2014 to 2021 (Rengarajan et al. 2020;Rufin et al. 2021). With this the geometric consistency improved. The processed images are available in tiles of 30 by 30 km.
 Example images
Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.

en: switzerland raster-processing remote-sensing force sentinel-2

envidat

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

en: EnviDat: the Environmental Data Portal

en: Sentinel-2 imagery of Switzerland

en:
Resource Title: EVI_20180724_example.tif
    Size: 24317492 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/eb913ad8-aec4-472f-a827-179b4ec87371/resource/5d61e0ec-f785-45ba-8281-8668855ee94b/download/evi_20180724_example.tif
    Description: An example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.

format: TIFF

media_type: image/tiff

en:
Resource Title: parameter_file_force_sentinel_level2.prm
    Size: 17892 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/eb913ad8-aec4-472f-a827-179b4ec87371/resource/69490cdd-817f-49f6-b048-e152ba6bff5a/download/sentinel_level2.prm
    Description: Parameter file that defined all the parameters for processing the Sentinel-2 Level 2 imagery

format: OCTET

force

display_name: force

raster-processing

display_name: raster-processing

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland


en:
We processed Sentinel-2 image time series from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019) on the basis of [Sentinel-2 images](https://envidat.ch//metadata/sentinel-2-imagery-of-switzerland). The respective parameter files can be found here: [Github](https://github.com/TLKoch/Sentinel-2_CH). All the image time series consist of several TB and therefore access will be granted upon request.
The available bands (in spatial reference system EPSG 3035) are the following:
Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2
The available indices (in spatial reference system EPSG 3035) are the following:
CCI, CIRE, NDWI/NDMI, NDVI, EVI
 Processing
On the basis of processed Sentinel-2 images for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR), we processed the image time series further with FORCE v. 3.7.8-12.
We generated interpolated Sentinel-2 time series with a 5-day interval, corresponding to the theoretical revisit time of the Sentinel-2 satellites. It's important to note that the 5-day time series consist of interpolated and smoothed composites, not the original images. We used the radial basis convolutional filtering (RBF) available in the FORCE time series analysis (TSA) submodule (Schwieder et al. 2016). The RBF is similar to a spatial moving window average approach over time (Schwieder et al. 2016). We applied kernel width values of 10, 20, 30, and 50 days. We spectrally adjusted all the images to match Sentinel-2A, and we removed curve outliers and pixels that failed the quality checks for clouds and their shadows, snow, saturation, and limited illumination. The processed image time series are available in tiles of 30 by 30 km.
 Example images
Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The time series spans the month of July from 2018.

en: time-series raster-processing remote-sensing force sentinel-2 switzerland

en: Sentinel-2 time series of Switzerland

envi

en: Environment

en:
Resource Title: parameter_file_force_sentinel_tss_tsi.prm
    Size: 27530 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/633ffbf5-756f-4735-af10-909a3b09c7cb/resource/81f234c9-25ea-4927-a3af-92c915236882/download/sentinel_tss_tsi.prm
    Description: Parameter file that defined all the parameters for processing the Sentinel-2 time series

en:
Resource Title: EVI_time_series_201807_example.tif
    Size: 139814053 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/633ffbf5-756f-4735-af10-909a3b09c7cb/resource/959bf57a-1723-4eea-ad89-3c42243ca510/download/evi_time_series_201807_example.tif
    Description:

time-series

display_name: time-series


en:
Swiss National Forest Inventory. Results of the fourth survey 2009–2017.
The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017, on average eight years after the third survey. The findings about state and development of Swiss forests are described and explained in detail. The report is structured according to the European criteria and indicators for sustainable forest management, namely: forest resources, health and vitality, wood production, biological diversity, protection forest and social economy. Finally, conclusions about sustainability are drawn based on the NFI findings.
Keywords: forest area, growing stock, increment, yield, forest structure, forest condition, timber production, biodiversity, protection forest, recreation, sustainability, results National Forest Inventory, Switzerland
Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017.
Les relevés du quatrième inventaire forestier national suisse (IFN) ont eu lieu entre 2009 et 2017, en moyenne huit ans après le troisième inventaire. Les résultats sur l’état et l’évolution de la forêt suisse sont présentés et expliqués en détail. Le rapport est structuré thématiquement selon les critères et indicateurs européens pour la gestion durable des forêts : ressources forestières, santé et vitalité, production de bois, diversité biologique, forêt protectrice et socio-économie. L’ouvrage s’achève par un bilan de la durabilité basé sur les résultats de l’IFN.
Mots-clés : surface forestière, volume de bois, accroissement, exploitation, structure de la forêt, état de la forêt, production de bois, biodiversité, forêt protectrice, récréation, durabilité, résultats de l’inventaire forestier national, Suisse
Content license: All rights reserved. Copyright © 2020 by WSL, Birmensdorf.

en: lfi forest nfi national-forest-inventory 2009-2017

en:
Resource Title: Corrigendum / Erratum
    Size: 518804 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/58cf77e8-78f6-460d-9c1b-5c0857b0cc25/resource/e5620e14-9a81-4d48-9a31-1acf93ff80f5/download/korrigendum_lfi4_fr_tab_155.pdf
    Description:

en:
Resource Title: Registration in DORA
    Size: 1 bytes
    Format: No Info
    URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:23455
    Description:

en:
Resource Title: ISBN: 978-3-905621-61-7
    Size: 65866156 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/58cf77e8-78f6-460d-9c1b-5c0857b0cc25/resource/149edc8c-30eb-4164-935f-ca53c21e16dd/download/lfi4_fr_web_200603.pdf
    Description:

forest

display_name: forest

lfi

display_name: lfi

national-forest-inventory

display_name: national-forest-inventory

nfi

display_name: nfi


en:
Introduction
The ZIP file contains all data and code to replicate the analyses reported in the following paper.
Reber, U., Fischer, M., Ingold, K., Kienast, F., Hersperger, A. M., Grütter, R., & Benz, R. (2022). Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics. *Policy Sciences*. [https://doi.org/10.1007/s11077-022-09456-4](https://doi.org/10.1007/s11077-022-09456-4)
If you use any of the material included in this repository, please refer to the paper. If you use (parts of) the text corpus, please also refer to the sources used for its compilation listed below. The content of the texts may not be changed.
 Data folder
The data folder contains the following files.
* _corpus.parquet_: Text corpus of Swiss policy documents
* _dict_de.csv_: Biodiversity dictionary (German)
* _dict_fr.csv_: Biodiversity dictionary (French)
* _dict_it.csv_: Biodiversity dictionary (Italian)
* _topic_labels.csv_: labels/codes for policy sectors
* _topics.csv_: labels/codes for policy sectors
The corpus and the dictionary were compiled by the authors specifically for this project. The labels/codes for policy sectors are based on the [coding scheme](http://ws-old.parlament.ch/affairs/topics) of the Swiss Parliament.
 Text corpus
The text corpus consists of 439,984 Swiss policy documents in German, French, and Italian from 1999 to 2018. The corpus was compiled from the following source between 2020-10-01 and 2021-01-31.
* Transcripts and parliamentary businesses (e.g. questions, motions, parliamentary initiatives) via the [Web Services (WS)](https://www.parlament.ch/de/%C3%BCber-das-parlament/fakten-und-zahlen/open-data-web-services) provided by the Swiss Parliament
* The official compilation of federal legislation ("Amtliche Sammlung", AS) via [opendata.swiss](https://opendata.swiss/de/dataset/official-compilation-of-federal-legislation-bs-as-1947-2018) provided by the Swiss Federal Archives (SFA)
*  The federal gazette ("Bundesblatt") via [fedlex.admin.ch](https://www.fedlex.admin.ch/de/fga/index)
* Decisions of federal courts via [entscheidsuche.ch (ES)](https://entscheidsuche.ch/)
The corpus is stored in a single data frame to use with R saved as [PARQUET](https://parquet.apache.org/) file (corpus.parquet). The data frame has the following structure.
* _text_id_: Unique identifier for each text (source information as prefix, e.g. "t_")
* _doc_type_: Document type (see coding scheme below)
* _branch_: Government branche (1 legislative, 2 executive, 3 judicative)
* _stage_: Stage of policy process (1 drafting, 2 introduction, 3 interpretation)
* _year_: Year of publication
* _topic_: Policy sector (coding scheme in separate file in data folder)
* _lang_: Language (de, fr, it)
* _text_: Text
The following list contains the coding scheme for the doc_type variable.
* 101: Federal gazette // Draft for public consultation ("Vernehmlassungsverfahren")
* 102: Federal gazette // Explanation of draft for parliament ("Botschaft")
* 103: Federal gazette // Strategy, action plan
* 104: Federal gazette // Federal council decree ("Bundesratsbeschluss")
* 105: Federal gazette // (Simple) Federal decree ("(Einfacher) Bundesbeschluss")
* 106: Federal gazette // General decree ("Allgemeinverfügung")
* 107: Federal gazette // Treaty ("Übereinkommen")
* 108: Federal gazette // Treaty ("Abkommen")
* 109: Federal gazette // Draft for parliament ("Entwurf")
* 110: Federal gazette // Report ("Bericht")
* 111: Federal gazette // Report of parliamentary comission ("Bericht")
* 112: Federal gazette // Report of federal council ("Bericht")
* 201: Parl. businesses // Submitted text
* 202: Parl. businesses // Reason text
* 203: Parl. businesses // Federal council response
* 204: Parl. businesses // Initial situation
* 205: Parl. businesses // Proceedings
* 301: Parl. transcripts // Speech of MP
* 302: Parl. transcripts // Speech of federal council
* 401: Federal legislation // Legal text of the official compilation (law, ordinances, etc.)
* 501: Court decisions // Federal Supreme Court
* 502: Court decisions // Federal Criminal Court
* 503: Court decisions // Federal Administrative Court
 Code folder
The code folder contains all R code for the analyses. The files are numbered chronologically.
* _1_classifier_training.R_: Training of classifiers for classification of policy sectors
* _2_classifier_application.R_: Classification of documents in corpus
* _3_dictionary_application.R_: Biodiversity indexing of documents in corpus
* _4_stm_truncation.R_: Truncation of indexed documents to keep only relevant parts
* _5_stm_translation.R_: Translation of FR and IT documents to DE
* _6_stm_model.R_: Preprocesssing and structural topic model
* _7_plots.R_: Plots and numbers as included in the paper
The code/functions folder contains custom functions used in the scripts, e.g. to support topic model interpretation.
Package versions and setup details are noted in the code files.
 Contact
Please direct any questions to Ueli Reber (ueli.reber@eawag.ch).

en: policy-analysis text-corpus bgb policy-documents switzerland biodiversity environmental--policy

en: Replication files for "Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics"

bgb

display_name: bgb

biodiversity

display_name: biodiversity

environmental--policy

display_name: environmental--policy

policy-analysis

display_name: policy-analysis

policy-documents

display_name: policy-documents

text-corpus

display_name: text-corpus


en:
The first EVOLTREE Conference, taking place in hybrid format (on-site and online) at WSL Birmensdorf (Switzerland) from 14-17 September, 2021, focuses on the genomics of trees and interacting species from evolutionary, demographic, and ecological perspectives.
EVOLTREE is a European network of institutions engaged in studying the evolution and functioning of forest ecosystems, in particular trees as the foundation species in forest stands. A prime topic in the face of ongoing climate change is to elucidate how trees, together with their associated organisms such as mycorrhizal fungi, respond to rapid environmental changes.
The conference includes contributions that apply innovative approaches and consider the relevance of their research in the context of biodiversity conservation through natural dynamics or silvicultural interference.

en: evoltree abstracts conference forest-ecosystems adaptation genomics

envidat

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

en: EnviDat: the Environmental Data Portal

en: Genomics and Adaptation in Forest Ecosystems. Book of Abstracts. EvolTree Conference 2021, 14 – 17 September 2021, Birmensdorf, Switzerland

abstracts

display_name: abstracts

adaptation

display_name: adaptation

conference

display_name: conference

evoltree

display_name: evoltree

forest-ecosystems

display_name: forest-ecosystems

genomics

display_name: genomics


en:
This dataset contains modeled and experimental results for laboratory snow failure experiments and the concurrent acoustic emissions signatures for different loading rates. For modelling the snow failure we used a fiber bundle model that includes sintering and viscous deformation.
The data underlay the figures in the publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted for publication to "Geophysical Research Letters".

en: snow-avalanche acoustic-emissions snow-mechanics viscous-deformation fiber-bundle-model snow sintering snow-failure

en: Fiber Bundle Model for snow failure and concurrent Acoustic Emissions

acoustic-emissions

display_name: acoustic-emissions

fiber-bundle-model

display_name: fiber-bundle-model

sintering

display_name: sintering

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-mechanics

display_name: snow-mechanics

viscous-deformation

display_name: viscous-deformation


en:
This dataset contains the road and plot data used for the geospatial analysis example showcased in "Fostering Open Science at WSL with the EnviDat Environmental Data Portal", a contribution to the 5th Open Source Geospatial Research and Education Symposium (OGRS), 2018.
The example uses Jupyter Notebook to calculate road densities in the neighbourhood of sample plot locations with Python. Road data were extracted from OpenStreetMap, while the point data (sample plots) were generated manually.

en: jupyter geospatial gis buffer density roads

en: Dataset for OGRS 2018 publication

envi

en: Environment

en:
Resource Title: Strassen_OSM
    Size: 394934 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/5d097dde-387f-4ab9-9e95-aa47c14bae75/download/menzbergzero.zip
    Description: Road data from OSM for the surroundings of Menzberg, Switzerland

en:
Resource Title: Plots
    Size: 1719 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/173de5b0-ae7b-46dc-9b1f-7df640106736/download/plots.zip
    Description: Random plot locations

en:
Resource Title: Road Density Calculation (Python Notebook)
    Size: 8643 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/38ba30db-e7cd-45eb-b84e-5d00e1877dd3/download/roaddensitycalculation.ipynb
    Description:

en:
Resource Title: Road Density Calculation (Python Notebook) online
    Size: 0
    Format: application/x-ipynb+json
    URL: https://nbviewer.jupyter.org/urls/www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/38ba30db-e7cd-45eb-b84e-5d00e1877dd3/download/roaddensitycalculation.ipynb
    Description:

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads


automatic-detection-of-avalanches

en: This dataset contains the results obtained by an automatic classification using hidden Markov models of a continuous seismic dataset. To avoid long computational times, we reduced the seismic data using pre-processing step. The start and end times of the windows used for the classification are also included in this dataset. Furthermore, an avalanche reference data set is included and the python scripts used to perform the processing steps and the classification.

en: snow monitoring hidden-markov-model seismic avalanche-activity

en: Automatic detection of avalanches

title_for_slug: automatic-detection-of-avalanches

avalanche-activity

display_name: avalanche-activity

hidden-markov-model

display_name: hidden-markov-model

monitoring

display_name: monitoring

seismic

display_name: seismic


en:
The data presented here corresponds to the publication "Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain" (Gerber et al., 2018a), which investigates the precipitation variability of snow precipitation in the central northern part of the Grisons (CH) and the publication "The importance of near-surface winter precipitation processes in complex alpine terrain" (Gerber et al., 2018b). The dataset contains:
* WRFsimulations: WRF simulation output for simulations with 4x (14x) terrain smoothing with an output timestep of 30 min/5 min and horizontal grid spacings of 1350 m, 450 m, 150 m and 50 m (currently: data available upon request).
* StationData: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.
* ADS80data: Photogrammetrically determined snow depth distribution data over the Dischma valley for the 26 January 2016 and 9 March 2016. Snow heights are corrected for buildings, vegetation (- 1m), outliers, and pixles, which are obivously snow-free on the pictures (Bühler et al., 2015). In addition the snow depth differences (snow depth on 9 March 2016 minus snow depth on 26 January 2016) are provided.
For more details about the simulation and observation data, see Gerber et al., 2018 and Gerber and Sharma (2018).
Publications:
Bühler, Y., Marty, M., Egli, L., Veitinger, J., Jonas, T., Thee, P., and Ginzler, C.: Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9, 229–243, doi:10.5194/tc-9-229-2015, 2015.
Gerber, F., Besic, N., Sharma, V., Mott, R., Daniels, M., Gabella, M., Berne, A., Germann, U., and Lehning, M.: Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain, The Cryosphere, 12, 3137–3160, doi:10.5194/tc-12-3137-2018, 2018.
Gerber, F., Mott, R. and Lehning, M.: The importance of near-surface winter precipitation processes in complex alpine terrain, Journal of Hydrometeorology, accepted, 2018.
Gerber, F., and Sharma, V.:  Running COSMO-WRF on very-high resolution over complex terrain. Laboratory of Cryospheric Sciences CRYOS, École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland. doi:10.16904/envidat.35, 2018.

en: snow-precipitation cosmo-wrf precipitation-variability complex-terrain orographic-precipitation

envidat

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

en: DISCHMEX - High-resolution WRF simulations in complex alpine terrain and station measurements

en:
Resource Title: ADS80data
    Size: 88940889 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/68536bc6-0990-41c0-a06f-21b19c0f2ffe/resource/dd0a21fc-e609-4a79-ab10-58e7dd9953d4/download/ads80data.zip
    Description: Snow depth maps over Dischma valley for 26 January 2016 and 9 March 2016 and snow depth differences between the two dates.

en:
Resource Title: StationData
    Size: 1161085 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/68536bc6-0990-41c0-a06f-21b19c0f2ffe/resource/096c4c10-1d39-428b-9762-e6c769553cbd/download/stationdata.zip
    Description: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation


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

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

envidat

en: EnviDat: the Environmental Data Portal

en: Rockfall gallery testing Parde 2016

en:
Resource Title: Video analysis
    Size: 7038602 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2c3b41a5-0ff2-4d65-b396-19afe029df09/resource/4b0dc245-87aa-4b49-bea5-560b95be025a/download/parde2016_videoanalyses.zip
    Description: The zip contains five Excel-files that in turn contain the results of the performed video analyses. The sheet "Daten" contains the pixels of different positions on the blocks that were tracked by the software "Kinovea". The sheet "Auswertung" determines the block kinetics based on the pixel data over time.

en:
Resource Title: Raw data (high speed videos, acceleration measurements, laboratory tests)
    Size: 276966499 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2c3b41a5-0ff2-4d65-b396-19afe029df09/resource/0ab7ed13-b413-4936-9c2a-04fff646397f/download/parde2016_rohdaten.zip
    Description: This file contains

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

en:
Resource Title: Acceleration measurements
    Size: 320251100 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2c3b41a5-0ff2-4d65-b396-19afe029df09/resource/1dd217a8-3975-4ae8-a7fe-83302438a7df/download/parde2016_accelmeas.zip
    Description: The zip file contains five excel files, one for each test conducted. The first sheet contains the raw data and a data set that went through a low-pass filter. The sheet "Allgemein" contains calibration factors for the sensors and time details of a test. The sheets "DiaDaten" and "DiaDatenGefiltert" show the measurements over time. The block and slab kinetics are determined in the sheets "ZeitintegrationBlock" and "ZeitintegrationPlatte". The sheet "VergleichBeschleunigungen" shows the influence of the low-pass-filter and a running average filter on the block accelerations.

experiment

display_name: experiment

experiments

display_name: experiments

field-data

display_name: field-data

field-test

display_name: field-test

field-tests

display_name: field-tests

impact-testing

display_name: impact-testing

mass-movements

display_name: mass-movements

natural-hazard

display_name: natural-hazard

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments


dischmex-meteorological-measurements

en:
Meteorological measurements recorded in the Dischma valley from 2014-2016. In 2014 and 2015 we used 11 mobile weather stations from sensorscope to record meteorological parameter in the upper Dischma valley in the closer surroundings of the Gletschboden area. The meteorological stations are eqiupped with at least air temperature/humidity, wind velocity and wind direction sensors. Some stations are additionally equipped with precipitation, shortwave radiation and snow surface temperature sensors.
Three transects were installed at different aspects and were equipped with air temperature/humidity and wind sensors. Transect 1 (stations 2-4) provides meteorological Information on an east-north-east facing slope at elevations ranging between 2100 m and 2500 m. Transect 2 (stations 5-7) provides meteorological Information on a south-west slope and transect 3 (stations 8-10) on a north-west slope. Station 1 is fully equipped with meteorological sensors (temperature/humidity, wind, IR, up and downwand shortwave radiation and precipitation).
In 2016, mobile stations from sensorscope were replaced with six permanent meteorological stations. Meteorological stations 1-3 are equipped with an air temperature/humidity sensor, two wind speed sensors, a wind direction sensor and an incoming and outgoing shortwave radiation sensor. Stations 4 and 6 are equipped with an air temperature/humidity sensor and a wind speed/direction sensor. Station 5 is a equipped with an air temperature/humidity sensor, a wind speed/direction sensor, a snow surface temperature sensor, an incoming and outgoing shortwave radiation sensor and an incoming longwave radiation sensor.

en: meteo-station meteorological-measurements meteorological-data dischmex dischma

en: DISCHMEX - Meteorological measurements

title_for_slug: dischmex-meteorological-measurements

envi

en: Environment

en:
Resource Title: Meteorological measurement 2014
    Size: 5503565 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/6da110c0-3ace-4958-911b-d89366660993/download/climaps-data.zip
    Description: data

en:
Resource Title: Meteorological measurements 2014
    Size: 1159577 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/f61e3ca2-c536-4639-bc74-9ec68267173e/download/experimental_setup.pdf
    Description: Location of the meteorological stations

en:
Resource Title: Meteorological measurements 2016
    Size: 7715938 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/47c944c9-8f73-40ab-ac41-7273ee9a6ee4/download/data.zip
    Description: data

en:
Resource Title: Meteorological measurements 2014
    Size: 14489 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/5193f4a9-be97-447f-8499-55616c2711e7/download/sensorscope.xlsx
    Description: Overview sensors

en:
Resource Title: Meteorological measurements 2016
    Size: 279067 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/89050c91-6a0e-4dd0-becd-272cfa7c5997/download/experimental_setup_2016.pdf
    Description: Location of the meteorological stations

en:
Resource Title: Meteorological measurement 2015
    Size: 34228880 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/019aae08-8c90-4fb1-bd3b-f5e77a50b512/download/climaps-data.zip
    Description: data

en:
Resource Title: Meteorological measurement 2015
    Size: 1159577 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/96d21f93-9ec1-4bea-a7ee-1fb9079d92e0/download/experimental_setup.pdf
    Description: Location of the meteorological stations

en:
Resource Title: Meteorological measurement 2015
    Size: 13943 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c4a42aa7-8b55-4f5e-8bf1-98c7b9ac2dc7/resource/3bb31127-bc4f-47a3-860d-f0429b9907d6/download/sensorscope.xlsx
    Description: Overview sensors

dischma

display_name: dischma

dischmex

display_name: dischmex

meteo-station

display_name: meteo-station

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements


en:
This dataset contains the data used in the publication by Techel et al., 2018 _Spatial consistency and bias in avalanche forecasts - a case study in the European Alps_ (Nat Haz Earth Syst Sci).
For details on the data please refer to this publication.
The dataset contains the following:
- shape files for the warning regions in the Alps
- highest forecast danger level for each warning region and day

en: snow avalanche-forecast warning-regions danger-level european-alps

envidat

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

en: EnviDat: the Environmental Data Portal

en: Forecast avalanche danger level European Alps 2011 - 2015

en:
Resource Title: Forecast avalanche danger level
    Size: 4052358 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f2dff8e3-fdff-4626-b650-a8ba5c19ef27/resource/688bda43-8216-47b0-8a15-730034676551/download/data_dmax.csv
    Description: contains the highest forecast danger level (dangerLevelMax) for each day and warning region

format: CSV

media_type: text/csv

en:
Resource Title: shape file warning regions Alps
    Size: 378119 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f2dff8e3-fdff-4626-b650-a8ba5c19ef27/resource/c8329c09-60f5-4181-8681-038ebf9615f4/download/warnregionen.zip
    Description:

avalanche-forecast

display_name: avalanche-forecast

danger-level

display_name: danger-level

european-alps

display_name: european-alps

snow

display_name: snow

warning-regions

display_name: warning-regions