en:
The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception.
This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES.

en: LABES 2 Indicators of the Swiss Landscape Monitoring Program

en: european-landscape-convention ecosystem-services landscape-ecology landscape-perception landscape

en:
Resource Title: LABES_32_Anlagefrei
    Size: 245411882 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/fd301e2a-b4aa-40da-8268-bfb3f0f7fbd3/download/labes_32_anlagefrei.zip
    Description: For many people, "untouched landscape" is the very essence of nature. There are hardly any places left in Switzerland that have no human influence. But you can find regions where human influence is not so obvious. These are areas where no human buildings and installations can be seen. Areas free of facilities are therefore the most natural areas that can be found in Switzerland.

en:
Resource Title: LABES_NEU_2_Abgeschiedenheit
    Size: 234154689 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/091a8634-f47c-44f0-89f2-122cecf3f12d/download/labes_neu_2_abgeschiedenheit.zip
    Description: Remoteness implies distance from a reference. In the case of an actual journey through a remote landscape, this distance can mean the physical distance from society or from signs of civilisation. In solitude, individuals face the elements of nature and thus move a step away from the backing of security provided by civilised society.
To calculate the remoteness of each grid cell per time period, the "Path Distance" ArcGIS tool is used. This calculates the cost between each grid cell and the settlement areas (pixels with >15 people) as the shortest trajectory. The surface distance is calculated from the horizontal and vertical distance (including the digital elevation model DHM25) and a cost grid, which assigns to each cell the costs incurred when passing through this area. As soon as the trajectory meets (or starts on) a road on which the settlement can be reached, the journey time by public transport or by private means of transport is calculated and the shorter of the two journey times is used.

en:
Resource Title: LABES_4_VerkehrFlaecheLaenge
    Size: 586793568 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/b803de8f-9e8f-4e88-87fa-7a5630a7b636/download/labes_4_verkehrflaechelaenge.zip
    Description: Indicator 4 describes the length and area of roads and railroads for the year 2020, as well as the changes between different points in time. The calculation of length and area consumption is based on the Topographic Landscape Model TLM and TLM3D of the Federal Office of Topography. Before 2014, changes were recorded in a sampling procedure based on landscape elements and extrapolated to subspaces and the whole of Switzerland. Since 2015, however, it has been possible to use data directly for the whole of Switzerland.

en:
Resource Title: LABES_1_Wald
    Size: 880214 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/ecac03e4-7b78-4cfd-b8dc-0f901784105f/download/labes_1_wald.zip
    Description: Indicator 1 quantitatively describes the forest area of Switzerland and its change. The required data on forest area are calculated using the area statistics (Swiss Federal Statistical Office, SFSO).

en:
Resource Title: LABES_2a_Nutzungsvielfalt_in_der_LW_Flaeche
    Size: 40224676 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/7d98e337-544b-4a43-bb68-e88b45aa38b6/download/labes_2a_nutzungsvielfalt_in_der_lw_flaeche.zip
    Description: This indicator measures the average number of different uses of agricultural land in Switzerland. It is thus a measure of the diversity of agricultural land. The agricultural structure survey is used to record the diversity of use.

en:
Resource Title: LABES_9_Zerschneidung
    Size: 2873713695 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/49481125-656d-4f80-b637-5e269df54345/download/labes_9_zerschneidung.zip
    Description: Transport infrastructure such as highways, connecting roads and railroads, as well as settlement areas divide a landscape into individual areas separated from each other. To measure the degree of landscape fragmentation, the metric of "effective mesh size" (meff) was used (Jaeger 2000). It expresses the probability that there are no separating elements, such as traffic routes or settlements, between two randomly selected points. The more separating elements cut up the landscape, the lower this probability and the smaller the effective mesh size.

en:
Resource Title: LABES_2_Veraenderung_LW_Flaeche
    Size: 1823447 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/1b183a3b-12fb-4449-9f94-6dbdbb27c09c/download/labes_2_veraenderung_lw_flaeche.zip
    Description: Indicator 2 describes the quantitative change in Switzerland's agricultural area excluding summer pastures. It contributes to assessing the basic agricultural use, which is very important for the landscape. This has a significant impact on the character of the landscape and on biodiversity.

en:
Resource Title: README_LABES
    Size: 37075 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/57905ae4-1e6f-47e7-b2c9-bea903d73591/download/readme_labes2.pdf
    Description: This is the general readme for all LABES datasets.

en:
Resource Title: LABES_15_NaturuberlasseneFlache
    Size: 86402157 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/241e4703-b922-493d-92bb-dba59111c5f6/download/labes_15_naturuberlasseneflache.zip
    Description: Areas left to nature are areas in which natural processes can take place essentially undisturbed and direct human influences determine the (current) development only to a small extent. In such areas, the composition of animal and plant communities differs from that in the cultivated landscape. The areas left to nature in Switzerland can be divided into "wilderness areas" in the forest (forest wilderness), areas left to nature in the high mountains (alpine fallow) and areas along water bodies (floodplains). The areas may or may not be accessible. Of central importance is the intensity of human activities.

en:
Resource Title: LABES_14_Licht
    Size: 35479307 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/89793b05-e29e-4db1-acf6-44bea2b37965/download/labes_14_licht.zip
    Description: Light emissions in 500m resolution for entire Switzerland for the periode 2014-2020 using VIIRS-VCSML

en:
Resource Title: LABES_NEU_14_StaedtischesGruen
    Size: 13710568925 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/17cbc14c-0f93-4757-9bc7-1ea8b3a241e2/download/labes_neu_14_staedtischesgruen.zip
    Description: This indicator shows the state of vegetation within urban areas in Switzerland. On the one hand, the entire vegetation period is considered, taking into account all data from mid-May to mid-September. On the other hand, an additional analysis focuses on the spring period from mid-May to the end of June in order to observe only the growing season, which in the vast majority of cases is not yet affected by drought stress.
The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are required to cover the extent of Switzerland.

en:
Resource Title: LABES_17a_Soemmerungsweiden
    Size: 373970 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/58fe447d-badc-4f46-b5ae-4a27e3278ad5/download/labes_17a_soemmerungsweiden.zip
    Description: Summer pastures make up the majority of extensively used agricultural land in Switzerland. Summer pastures are located at altitudes that do not allow intensive use of the land, as is the case in the Central Plateau. Fertiliser use is either non-existent or limited. The indicator helps to measure changes in a basic agricultural use that is very important for the mountain landscape. It is a major determinant of landscape character and biodiversity.

en:
Resource Title: LABES_NEU_9_Windanlagen
    Size: 31839422 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/8ad25619-6fd6-44eb-8356-128591a07d67/download/labes_neu_9_windanlagen.zip
    Description: This indicator shows the situation of wind energy in Switzerland. Firstly, we locate the current wind turbines and wind farms in Switzerland and compare their location with the wind speed map and the federal government's base map concerning the main wind potential areas. Secondly, we analyse the development of wind energy in Switzerland over the years and the efficiency of such structures.

en:
Resource Title: LABES_NEU_7_Leitungen
    Size: 13553015 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/9abf7e9d-3a4c-4fb1-89e9-9b46f886555e/download/labes_neu_7_leitungen.zip
    Description: This indicator shows the status of transmission lines in Switzerland and analyses the land cover on which these infrastructures are built. Transmission lines are assessed on the basis of TLM data. An extract from TLM_VERSORGUNGSBAUTE (OBJEKTART: Hochspannungsleitungen) is used to calculate the length consumption. In addition, the area statistics layer (NOLC04) is used to differentiate land types into different categories. The total length of transmission lines in Switzerland, in the different biogeographical regions and in the different cantons is calculated by overlay operations for year 2015 and year 2020 (see appendices for further details).

en:
Resource Title: LABES_7_Versiegelung
    Size: 83715075 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/c285f76d-d16e-49eb-a894-11d22b91ffe6/download/labes_7_versiegelung.zip
    Description: The degree of imperviousness indicates the sealed surface area as a percentage. The LABES indicator 7 is surveyed with the area statistics Switzerland. The survey interval of the areal statistics is 12 years for the first 3 surveys and 9 years for the fourth survey of the areal statistics; therefore, short-term developments in the change of the sealed surface cannot be recorded.

en:
Resource Title: LABES_11_Gewaesser
    Size: 87721372 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/3989c431-0da1-4f0f-ae38-0052dd0d5b59/download/labes_11_gewaesser.zip
    Description: Indicator 11a describes the change in the length of watercourses in Switzerland between different points in time. The changes are systematically recorded on the basis of the changes in the national maps 1:25,000, later Vector25 and from about 2012 using TLM3D. With this evaluation protocol (2022), the sampling procedure of "Landschaft unter Druck" is used for the last time. It consists of 152 sampling rectangles in which the changes are recorded and extrapolated to the whole of Switzerland. From TLM3D (2020) onwards, the extrapolation is guaranteed for the entire area of Switzerland.

en:
Resource Title: LABES_3_Flaechenverbrauch_siedlung
    Size: 289613 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/50af6ee4-e060-449a-928b-eaf7d56584d6/download/labes_3_flaechenverbrauch_siedlung.zip
    Description: This indicator quantitatively describes land consumption for settlement and the change in Switzerland's settlement area based on data from Switzerland's land use statistics (Swiss Federal Statistical Office FSO).

en:
Resource Title: LABES_35_ErschliessungFussWanderwege
    Size: 612264376 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/0b03f50f-90db-43ab-9efb-20ab17c7645a/download/labes_35_erschliessungfusswanderwege.zip
    Description: Indicator 35 describes the accessibility with footpaths and hiking trails less than 2m wide. The basis for this is the Topographic Landscape Model (TLM and TLM3D) of the Federal Office of Topography. The data are given in km/km2 and are broken down by land use. The land use categories settlement, forest and open land are extracted from the area statistics of the Federal Statistical Office. Contrary to the initial calculation in 2015, we have abandoned the official attribute "hiking trail", as it has been shown that official "hiking trails" are also routed over longer distances along major roads. The current definition has to do solely with the width of the path (max. width 2m) and not with the official designation. This is closer to the quality of a trail than the official designation "hiking trail".

en:
Resource Title: LABES_8_Bauen_ausserhalb_Bauzone_neue_Berechnung
    Size: 552983317 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/6f63c401-4569-416a-835e-bbf92db5c446/download/labes_8_bauen_ausserhalb_bauzone_neue_berechnung.zip
    Description: Indicator 8 quantitatively describes the Euclidean distance from each point of a 12.5x12.5m grid outside the building zone to the nearest building. This is a revision based on a new calculation method.

en:
Resource Title: LABES_36_Zersiedlung
    Size: 318716414 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/4d6c7084-30af-47c7-a5db-8c5fa24fc96a/download/labes_36_zersiedlung.zip
    Description: As a metric for characterising urban sprawl, the measure of urban sprawl (Z or weighted urban permeation WUP) was first propagated by Jaeger et al. (2008). We use this measure here. Urban sprawl is expressed in DSE/m2. The metric was refined within the framework of the National Research Programme 54 "Sustainable settlement and infrastructure development" in the project "Landscape sprawl Switzerland - Quantitative analysis 1935 to 2002 and implications for spatial planning" (Jaeger et al. 2008).

en:
Resource Title: LABES_31a_Gewaesserabschnitte_frei_begehbar
    Size: 650033460 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/5936cb4e-fdb5-42fe-abc8-a2e1b49819db/download/labes_31a_gewaesserabschnitte_frei_begehbar.zip
    Description: Indicator 31a describes the accessibility of water bodies in Switzerland. Water bodies are popular recreational areas. In order to be used by the population, therefore they should be freely accessible.

en:
Resource Title: LABES_NEU_12_Landwirtschaftliche_Intensitaet
    Size: 3136976655 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/2a4fd5bc-9d68-4ba9-8386-2589ff7c280b/download/labes_neu_12_landwirtschaftliche_intensitaet.zip
    Description: This indicator shows the agricultural intensity in Switzerland using satellite data by calculating the NDVI values for each growing season and, in particular, observing the standard deviation of these values over the years. The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are needed to cover the extent of Switzerland.

en:
Resource Title: Labes_all_social_indicators_23_24_25_27_29_30_NEU16_NEU17_NEU18_NEU20_NEU22_NEU23
    Size: 7262265 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/63db81c2-01b8-4285-b602-5090673d9330/download/labes_all_social_indicators_23_24_25_27_29_30_neu16_neu17_neu18_neu20_neu22_neu23.zip
    Description: The social indicators for LABES were collected with a Swiss-wide representative survey. The first survey was conducted in 2011 (n = 2814 participants), the second in 2020 (n = 2090 participants). The “Auswertungsprotokolle” inform about the results of each indicator in 2020 and compared to the state of 2011.

Indicator list:

Indicator 23 Ortsbindung / place attachment

Indicator 24 Landschaftliche Schönheit / visual landscape quality or beauty

Indicator 25 Besonderheit (Eigenart und Vergangenheitsbezug)/ place identity

Indicator 27 Wahrgenommener Informationsgehalt der Landschaft: Komplexität, Entdeckungspotenzial, Kohärenz, Lesbarkeit / Kaplans’ preference matrix: complexity, mystery, coherence, legibility

Indicator 29 Faszination / soft fascination

Indicator 30 Authentizität /authenticity

Indicator Neu_16 Erholung und Landschaft (Erholungsindex, Zugang, Outdoorsport) / recreation and landscapes (recreationindex, access, outdoor sports)

Indicator Neu_17 Beobachtete Landschaftscharakterisierung / perceived landscape charachterization

Indicator Neu_18 Beobachtete Landschaftsveränderungen / perceived landscape changes

Indicator Neu_20 Wahrgenommene Landschaftsqualität in den Grundnutzungen oder Texturen (Wald, Landwirtschaft, Siedlungsflächen, Gewässer)/ Perceived landscape quality in the different land use areas (forest, agriculture, settlement areas, water bodies)

Indicator Neu_22 Gesamturteil zur wahrgenommenen Landschaftsqualität / overall satisfaction

Indicator Neu_23 Kulturelle Landschafswerte / cultural values and services of the landscape

ecosystem-services

display_name: ecosystem-services

european-landscape-convention

display_name: european-landscape-convention

landscape

display_name: landscape


$oid: OBSOLETE

en:
The dataset Hydro-CH2018 reservoirs provides estimates of current and future water supply, water demand, and storage volumes for 307 medium-sized catchments in Switzerland.
Water supply for current (1981-2010) and future (2070-2099) climate conditions was simulated using the hydrological model PREVAH. For modeling current water supply, observed meteorological time series were used as input, while simulated meteorological time series derived from 39 model chains of the CH2018 initiative were used as an input for simulating future climate conditions.
Water demand was estimated for six categories:
- 1) Drinking water (households and tourism),
- 2) industry (second and third sector),
- 3) artificial snow production,
- 4) agriculture (irrigation and livestock feeding),
- 5) ecology (residual flows), and
- 6) hydropower.
Future estimates consider changes in demand related to population growth and changes in the hydrological conditions.
Storage volumes are provided for natural lakes (storage capacities and usable volumes), artificial reservoirs, reservoirs for artificial snow production, and drinking reservoirs.
A detailed description of the simulation and estimation procedures can be found in
*   Brunner, M.I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., Stähli, M., 2019. Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes. Sci. Total Environ. 666, 1033–1047. https://doi.org/10.1016/j.scitotenv.2019.02.169.
This dataset contains the following information:
1.	Shapefile with the 307 medium-sized Swiss catchments.
2.     Textfiles with the water supply simulations for the control run and the 39 climate model chains (one file per chain) at daily resolution for the 307 catchments.
3.	Textfiles with the current and future demand estimates per category at monthly resolution for the 307 catchments.
4.	Textfiles with the storage volumes per category and catchment.

en: Hydro-CH2018 reservoirs

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

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

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: Shapefile of 307 catchments in Switzerland
    Size: 100341 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/b30c2b9e-71f9-4798-b841-104a58d79667/download/shapefile_307_regions.zip
    Description: Shapefile of 307 catchments for which estimates of water supply, demand, and reservoir volumes are provided. The OBJECTID entry corresponds to the catchment ID which is used as a reference in the other datasets provided.

format: ZIP

media_type: application/zip

en:
Resource Title: Water demand (deprecated)
    Size: 920391 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/ab06042e-059a-40b0-b9da-101958dab5e7/download/demand.zip
    Description: Warning: please use the corrected version 2, since this file contains errors for certain categories such as Livestock, Industry or Houshold.

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

en:
Resource Title: Reservoir volumes
    Size: 7781 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/d601bc26-6f1a-46a3-9ccd-603fca11920b/download/reservoirs.zip
    Description: Reservoir volume for the 307 medium-sized catchments for different storage categories: natural lakes, artificial reservoirs, reservoirs for artificial snow production, drinking water reservoirs, and usable volumes of natural lakes.  Unit: Mio m³. One column per catchment (see shapefile).

en:
Resource Title: Water supply
    Size: 1113489603 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/340da6dc-991a-4f2e-9ff1-75b9daea4dcb/download/supply.zip
    Description: Simulated discharge series for a reference period 1981-2010 and till the end of the century. Data are provided for 39 climate model chains and a control run based on the observed meteorology. Data are provided at daily resolution (mm/d).

en:
Resource Title: Water demand version 2 (corrected version)
    Size: 1007064 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/15462633-0157-4027-9f17-1e80ec4c1f92/download/demand.zip
    Description: Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

climate-change

display_name: climate-change

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply


en: Climate data matching the scales at which organisms experience climatic conditions are often missing. Yet, such data on microclimatic conditions are required to better understand climate-change impacts on biodiversity and ecosystem functioning. Here we combine a national network of microclimate temperature measurements with a novel radiative transfer model to map monthly minimum, mean and maximum temperatures during the vegetation period at a 10 meter spatial resolution across Switzerland. The temperature measurements took place in 107 sampling plots distributed across different habitat types, with 62 plots in forests, 22 below trees outside forests, and 23 in open grasslands. In each plot we measured temperature in the topsoil (-5cm), as well as in the air at 5cm and 100cm height above ground. Spatial interpolation was achieved by using a hybrid approach based on linear mixed effects models with input from detailed radiation estimates that account for topographic and vegetation shading, as well as other predictor variables related to the macroclimate, topography and vegetation height. Our data reveals strong horizontal and vertical variability in microclimate temperature, particularly for maximum temperatures at 5 cm above the ground and within the topsoil. Compared to macroclimate conditions as measured by weather stations outside forests, diurnal air and topsoil temperature ranges inside forests were reduced by up to 3.0 and 7.8 °C, respectively, while below trees outside forests, e.g. in hedges and below solitary trees, this buffering effect was 1.8 and 7.2 °C. We also found that in open grasslands, maximum temperatures at 5 cm above ground are on average 3.4 °C warmer than that of macroclimate, suggesting that in such habitats heat exposure close to the ground is often underestimated when using macroclimatic data. After accounting for macroclimate effects, microclimate patterns were primarily driven by radiation, with particularly strong effects on maximum temperatures. Results from spatial block cross-validation revealed predictive accuracies as measured by RSME’s ranging from 1.18 to 3.43 °C, with minimum temperatures generally being predicted more accurately than maximum temperatures. The microclimate maps presented here enable a more biologically relevant perspective when analysing climate-species interactions, which is expected to lead to a better understanding of biotic and ecosystem responses to climate and land use change.

en: Monthly topsoil and near surface microclimate temperature data for Switzerland

en: climate-change forest statistical-interpolation biodiversity ecology radiation-transfer microclimate

en:
Resource Title: 100cm.zip
    Size: 8235599790 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/100cm.zip
    Description: Predicted microclimate air temperatures at 100 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en:
Resource Title: topsoil.zip
    Size: 8375186227 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/topsoil.zip
    Description: Predicted microclimate topsoil temperatures at 5 cm below ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en:
Resource Title: 5cm.zip
    Size: 8836895212 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/5cm.zip
    Description: Predicted microclimate air temperatures at 5 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

biodiversity

display_name: biodiversity

ecology

display_name: ecology

forest

display_name: forest

microclimate

display_name: microclimate

radiation-transfer

display_name: radiation-transfer

statistical-interpolation

display_name: statistical-interpolation


en: Although species range may be obtained using expert maps or modeling methods, expert data is often species-limited and statistical models need more technical expertise as well as many species observations. When unavailable, such information may be extracted from the Global Biodiversity Information facility (GBIF), the largest public data repository inventorying georeferenced species observations worldwide. However, retrieving GBIF records at large scale may be tedious if users are unaware of specific tools and functions that need to be employed. Here we present *gbif.range*, an R library that contains automated methods to generate species range maps from scratch using in-house ecoregions shapefiles and an easy-to-use GBIF download wrapper. Finally, this library also offers a set of additional very useful parameters and functions for large GBIF datasets (generate doi, extract GBIF taxonomy, records filtering...). [gbif.range R project](https://github.com/8Ginette8/gbif.range)

en: gbif.range - An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper

en: conservation hard-limit large-scale landsca species-observations filtering accepted-name range-maps r-package flags species-distribution gbif occurrence-records ecoregions taxonomy synonyms

en:
Resource Title: gbif.range R package version 1.1 (current)
    Size: 307157973 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/3290357e-2e2f-4a10-a254-4689b5f91705/download/gbif.range.zip
    Description:

en:
Resource Title: GitHub URL
    Size: 0
    Format: .range
    URL: https://github.com/8Ginette8/gbif.range
    Description:

en:
Resource Title: gbif.range R package version 0.2 (deprecated)
    Size: 75970559 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/802ecb6b-f4c6-49f8-b25d-093bf1ff9d7c/download/gbif.range_r_package.zip
    Description:

en:
Resource Title: wsl.gbif R package version 0.1 (deprecated)
    Size: 2704605 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/402acab8-6657-452e-bde3-53b1cbb59dcd/download/wsl.gbif-main-version.2022-10-25.zip
    Description: Test version, not to be used.

accepted-name

display_name: accepted-name

conservation

display_name: conservation

ecoregions

display_name: ecoregions

filtering

display_name: filtering

flags

display_name: flags

gbif

display_name: gbif

hard-limit

display_name: hard-limit

landsca

display_name: landsca

large-scale

display_name: large-scale

occurrence-records

display_name: occurrence-records

r-package

display_name: r-package

range-maps

display_name: range-maps

species-distribution

display_name: species-distribution

species-observations

display_name: species-observations

synonyms

display_name: synonyms

taxonomy

display_name: taxonomy


en:
UAV-derived DSMs and orthoimages
Unmanned Aerial Vehicle  (UAV) surveys were conducted between 2015 and 2016 on the Sankt Annafirn, Findelen- and Griesgletscher, situated in the Swiss Alps. Three surveys at the Sankt Annafirn allowed for a full glacier coverage,  four  surveys at Griesgletscher allowed an almost full glacier coverage and seven surveys at Findelengletscher allowed for a partial coverage of the glacier tongue (see individual datasets for exact extent). For each survey, a high resolution orthoimage and a Digital Surface Model (DSM) was created.
 UAV surveys:
Prior flight, Ground Control Points (GCPs) were deployed on the glacier surface and measured with a differential GPS (Trimble R7 or Leica GPS 1200). They allowed precise georeferencing of the UAV-derived datasets. UAV flight plans were planned with the software *eMotion 2* and a SenseFly eBee was used as surveying platform. The images were then processed with the software Agisoft Photoscan Pro 1.1.6 .
The location and dates of each survey can be found in the table together with the number of flights performed (Nflights), the number of acquired images (Nimages), the number of GCPs set (NGCPs) and the surveyed area.
A folder for each dataset is available (see folder name in table), which contains:
- An orthoimage  *glacier_date_photoscan_oi_CH1903+_LV95_0.1m.tif*
- A Digital Surface Model  *glacier_date_photoscan_dsm_CH1903+_LV95_0.1m.tif*
- The Agisoft Photoscan automatic processing report   *glacier_date_photoscan_report.pdf*
where:
- *glacier* is the name of the surveyed glacier
- *date* is the date of the UAV image acquisition
- *photoscan* is the name of the photogrammetric software
- *oi* or *dsm* the type of dataset
- *CH1903+_LV95* is the coordinate system and datum of the dataset
- *0.1m* is the resolution of the dataset in meter
- *.tif* is the extention of the dataset

Details about the UAV surveys, the image processing and the accuracy of the UAV-derived products can be found in this publication below.
Paper Citation:
 - _Gindraux et al. 2017. Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’Imagery on Glaciers, Remote Sensing, 9, 186, 1-15,  [doi: 10.3390/rs9020186](https://doi.org/10.3390/rs9020186)._
The folder UAV_flight_paths.zip contains all UAV flights performed on the Sankt Annafirn, Findelengletscher and Griesgletscher. The flights were planned with the software eMotion2 and have the .afp extention.

en: UAV-derived Digital Surface Models and orthoimages for three alpine glaciers

en: uav drone findelengletscher orthoimage dem griesgletscher dsm gletscher orthophoto alps glacier sankt-annafirn

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

envi

en: Environment

en:
Resource Title: gries_20150926
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    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20150926.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 26th of September 2015.

en:
Resource Title: Bulk Data Access
    Size: 0
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.48
    Description: Link to the S3 bucket where all the data resources can be downloaded in bulk

en:
Resource Title: findelen_20150920
    Size: 3185830469 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150920.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 15th of September 2015.

en:
Resource Title: gries_20150803
    Size: 3678514763 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20150803.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 3rd of August 2015.

en:
Resource Title: stanna_20150415
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150415.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of April 2015.

en:
Resource Title: findelen_20150721
    Size: 2465299515 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150721.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 21th of July 2015.

en:
Resource Title: findelen_20160922
    Size: 3002624298 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160922.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 22th of September 2016.

en:
Resource Title: datasets_overview
    Size: 1681404 bytes
    Format: application/pdf
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/datasets_overview.pdf
    Description: This .pdf contains an orthoimage for each dataset as well as a Table which displays the number of flights made, image acquired, number of GCP set and the total area covered.

format: PDF

media_type: application/pdf

en:
Resource Title: stanna_20150928
    Size: 957278925 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150928.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 28th of September 2015.

en:
Resource Title: gries_20160913
    Size: 3592468237 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20160913.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 13th of September 2016.

en:
Resource Title: findelen_20160830
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160830.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 30th of August 2016.

en:
Resource Title: UAV_flight_paths
    Size: 5116350 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/uav_flight_paths.zip
    Description: This folder contains all UAV flights paths that we created for the Sankt Annafirn, the Findelengletscher and Griesgletscher. They have been created with the software eMotion2, that was developped for the eBee platform from Sensefly.

en:
Resource Title: gries_20160815
    Size: 3942636963 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20160815.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 15th of August 2015.

en:
Resource Title: stanna_20150715
    Size: 813185979 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150715.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of July 2015.

en:
Resource Title: findelen_20160702
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160702.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 2nd of July 2016.

en:
Resource Title: findelen_20150409
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150409.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 09th of April 2015.

en:
Resource Title: findelen_20160419
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160419.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 19th of April 2016.

alps

display_name: alps

dem

display_name: dem

drone

display_name: drone

dsm

display_name: dsm

findelengletscher

display_name: findelengletscher

glacier

display_name: glacier

gletscher

display_name: gletscher

griesgletscher

display_name: griesgletscher

orthoimage

display_name: orthoimage

orthophoto

display_name: orthophoto

sankt-annafirn

display_name: sankt-annafirn

uav

display_name: uav


en: Raw data and R Code to do all the analysis performed for the paper "Advancing sustainable LED solutions to mitigate light-pollution impacts on arthropods". Including data for both flight-active insects and ground-dwelling arthropods combined (PT_TRF_all.csv), flight-active insects alone (ALANeX_PT_all_clean_control.csv) and ground-dwelling insects alone (ALANeX_TRF_all_clean_control.csv). For the NMDS analysis, there is a data set for the flight-active insects (ALANeX_PT_NMDS.csv) and the ground-dwelling arthropods (ALANeX_TRF_NMDS.csv). For the Morans I use the 'ALANeX_MoransI.csv' dataset.

en: ecosystem-services alan outdoor-lighting artificial-lighting sustainability

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

envi

en: Environment

en:
Resource Title: PT_TRF_all.csv
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    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/3aecf663-0494-4d8d-9a9b-70ee70584c33/download/pt_trf_all.csv
    Description: Raw data for flying insects and ground-dwelling arthropod combined analysis

format: CSV

media_type: text/csv

en:
Resource Title: TRF_NMDS.R
    Size: 5646 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/78ab68b0-cb5a-4228-b165-0a9249833467/download/trf_nmds.r
    Description: R code for NMDS of ground-dwelling arthropods

format: OCTET

en:
Resource Title: Regression_TRF_Taxa.R
    Size: 12379 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/33788f24-dd2b-4137-b2f6-878ac0f98e88/download/regression_trf_taxa.r
    Description: R code of ground-dwelling arthropod analysis.

en:
Resource Title: PT_NMDS.R
    Size: 5615 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/1b4bf7ce-faae-43da-a051-dce85fb4a35b/download/pt_nmds.r
    Description: R code for NMDS of flight-active insects

en:
Resource Title: ALANeX_MoransI.csv
    Size: 70008 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/352f7a23-41a2-4160-b5da-000ca56511bb/download/alanex_moransi.csv
    Description: Raw data Moran's I test

en:
Resource Title: Regression_PT&TRF_AllGroups.R
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    Description: R code of flight-active and ground-dwelling arthropod combined analysis.

en:
Resource Title: ALANeX_TRF_all_clean_control.csv
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    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/388d1352-f4ab-4c80-9439-b47ff1b2d84a/download/alanex_trf_all_clean_control.csv
    Description: Raw data for ground-dwelling arthropod analysis

en:
Resource Title: Regression_PT_Taxa.R
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    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/a24b15bc-039a-4611-9efc-3bacd43be0b9/download/regression_pt_taxa.r
    Description: R code of flight-active insects analysis.

en:
Resource Title: ALANeX_TRF_NMDS.csv
    Size: 50258 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/7aa3a91d-3ed9-477c-aa15-68c42f50392b/download/alanex_trf_nmds.csv
    Description: Raw data for ground-dwelling arthropod NMDS analysis

en:
Resource Title: PERMANOVA_TRF_NMDS.R
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    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/6733f71f-1d72-4730-8bfe-e1158349c383/download/permanova_trf_nmds.r
    Description: R code for PERMANOVA Analysis of ground-dwelling arthropods.

en:
Resource Title: ALANeX_PT_all_clean_control.csv
    Size: 82055 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/aa8b6e52-c154-482c-a4db-2a9ff2ceaff2/download/alanex_pt_all_clean_control.csv
    Description: Raw data for flying insects analysis

en:
Resource Title: ALANeX_PT_NMDS.csv
    Size: 34799 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/92df1cc5-e8f7-4ed8-98b6-8f512edd3504/download/alanex_pt_nmds.csv
    Description: Raw data for flying insects NMDS analysis

en:
Resource Title: PERMANOVA_PT_NMDS.R
    Size: 866 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/80cd6f62-ec98-4675-a3fd-2dff6894fc7f/download/permanova_pt_nmds.r
    Description: R code for PERMANOVA Analysis of flight-active insects.

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

ecosystem-services

display_name: ecosystem-services

outdoor-lighting

display_name: outdoor-lighting

sustainability

display_name: sustainability


en:
Data associated to the publication "Rapid field-based detection of a threatened and elusive species with environmental DNA and CRISPR-Dx"
-br-
 Authors:
-br-
Flurin Leugger, Martina Lüthi, Michel Schmidlin, Zacharias Kontarakis and Loïc Pellissier
-br-
 Contact:
-br-
flurinleugger@gmail.com
loic.pellissier@usys.ethz.ch
-br-
 Project description:
-br-
We collected eDNA samples in the Conkouati-Douli National Park in the Republic of Congo in 2023 in collaboration with Beauval Nature and HELP Congo. We analyzed the samples on site in the national park using CRISPR-Dx assays to detect the African manatee (*Trichechus senegalensis*). Additionally, we transported the remaining samples (buffer) to Switzerland and used a high-sensitivity protocol with CRISPR-Dx assays and a qPCR assay to verify the field-based detections. The qPCR of Hunter et al. (2018) detects the genus manatee (Trichechus). See publication for more details (doi will be added after publication).
-br-
 Folders:
-br-
 lateral_flow_tests_images\:
-br-
Images of the lateral flow tests used to analyze the eDNA extracts in the national park. File names correspond to the site names. At each site, we took two filter replicates. We ran 8 PCRs per filter/extract and pooled two PCRs together, resulting in 4 CRISPR-Dx assays per extract. The EVE number on top of the tests indicates the environmental extract number we use to track the extracts in our data base. It corresponds to the extract_number_field_based in the metadata and data folder. The negative extraction control with the strongest "band" was placed right to the eDNA extract on each image (labelled hand written with NC x.y).
-br-
 metadata\:
-br-
File containing overview of site names and extract number (field-based or lab-based extraction). The extract_number_field_based corresponds to the identically called column in CRISPR_field_based_classifications.csv file, as the extract_number_lab_based to the column in the file CRISPR_lab_based_classifications.csv file and the qPCR_Cp_2nd_derivative.csv file. The file includes the GPS coordinates of the sampling location (transect start point).
-br-
 data\:
-br-
Folder containing the files with Cp values (qPCR) and the CRISPR-Dx classifications. CRISPR_field_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection) for the African manatee (Trichechus senegalensis).
CRISPR_lab_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection).
qPCR_Cp_2nd_derivative.csv file contains the Cp value of the 8 replicates of each extract.

en: Field-based eDNA analysis to detect the threatened and elusive African manatee

en: environmental-dna crispr-cas african-manatee crispr-dx threatened-species field-based-protocol biodiversity-monitoring qpcr edna

en:
Resource Title: data.zip
    Size: 2126 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/0b379b83-6480-4aca-b189-ff2435deb297/download/data.zip
    Description: Folder containing the data files with Cp values (qPCR) and the CRISPR-Dx classifications. CRISPR_field_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection) for the African manatee (Trichechus senegalensis).
CRISPR_lab_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection).
qPCR_Cp_2nd_derivative.csv file contains the Cp value of the 8 replicates of each extract.

en:
Resource Title: Readme.txt
    Size: 2387 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/ad00caf8-bff2-4b98-be8b-122329cee39e/download/readme.txt
    Description: Description of project and folders and files

format: TXT

media_type: text/plain

en:
Resource Title: lateral_flow_tests_images.zip
    Size: 7430379 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/196f5458-7ced-49e3-a693-357ee2816f5a/download/lateral_flow_tests_images.zip
    Description: Images of the lateral flow tests used to analyze the eDNA extracts in the national park. File names correspond to the site names. At each site, we took two filter replicates. We ran 8 PCRs per filter/extract and pooled two PCRs together, resulting in 4 CRISPR-Dx assays per extract. The EVE number on top of the tests indicates the environmental extract number we use to track the extracts in our data base. It corresponds to the extract_number_field_based in the metadata and data folder. The negative extraction control with the strongest "band" was placed right to the eDNA extract on each image (labelled hand written with NC x.y).

en:
Resource Title: metadata.zip
    Size: 10066 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/8501e9b9-e55f-49de-86ac-0754f15579dd/download/metadata.zip
    Description: File containing overview of site names and extract number (field-based or lab-based extraction). The extract_number_field_based corresponds to the identically called column in CRISPR_field_based_classifications.csv file in the data folder, as the extract_number_lab_based to the column in the file CRISPR_lab_based_classifications.csv file and the qPCR_Cp_2nd_derivative.csv file (also in the data folder). The file includes the GPS coordinates of the sampling location (transect start point).

african-manatee

display_name: african-manatee

biodiversity-monitoring

display_name: biodiversity-monitoring

crispr-cas

display_name: crispr-cas

crispr-dx

display_name: crispr-dx

edna

display_name: edna

environmental-dna

display_name: environmental-dna

field-based-protocol

display_name: field-based-protocol

qpcr

display_name: qpcr

threatened-species

display_name: threatened-species


en: The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.

en: Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century

en: natural-climate-variability uncertainty rain-on-snow cryosphere climate-change-impact snow-water-equivalent

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

envi

en: Environment

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty


en:
This repository contains extensive data for the European Alps:
   - Observations of ~3,500 plant species
   - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
   - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
   - Regional maps of barriers to migration and water bodies at 100-m resolution
   - Sampling effort, distance to roads and cities predictors at 100-m resolution
   - Present and future abundances over the study region at 1-km resolution (~2,000 species)
   - Present and future multifaceted and uniqueness of the European Alps' Flora at  1-km resolution
   - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
   - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
   - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps

en: european-alps beta-diversity global-change phylogenetic-diversity zonation conservation species-distribution-models migclim taxonomic-diversity plants land-use-change functional-diversity

en:
Resource Title: Updated SDM outputs
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7b947fcf-73a0-46a7-be03-804797c9c3d7/resource/4838348a-6050-4774-83f1-cab5efe7b244/download/sdm_outputs_updated.zip
    Description: Refined scenarios of plants distribution in the European Alps

en:
Resource Title: Data Access
    Size: 85899345920 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.371%2F
    Description:

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

plants

display_name: plants

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation


en:
This dataset consist of simulated hourly power production from an Enercon E82 Turbine at 100 m hub-height. It describes the hourly power output a 1MW turbine would produce in each 0.01° grid cell for the years 2016 and 2017.
100 m wind speed data was taken from the COSMO-1 model (Consortium for Small-scale Modeling 2017), which has a 0.01° horizontal resolution. The domain covered is the whole of Switzerland, with the exclusion of lakes. As such, the number of 0.01◦ pixels within Switzerland amounts to 48657.
Conversion to power output was done based on the power curve of the Enercon E82 Turbine. As power output is lower at altitude due to lower air density, we corrected for this effect as described in (Kruyt et al. 2017).
Please cite the following paper in connection with the dataset:
Paper Citation:
 - _Bert Kruyt, Jérôme Dujardin, and Michael Lehning: Improvement of wind power assessment in complex terrain: The case of COSMO-1 in the Swiss Alps, Front. Energy Res., [doi:10.3389/fenrg.2018.00102] (https://doi.org/10.3389/fenrg.2018.00102)_

en: Dataset on Cosmo-1 based Energy Potential in Swiss Alps

en:
Resource Title: Data Source
    Size: 3144305336 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/unit_pow_16_17.rdata
    Description: Hourly Gridded Wind Power Time Series

en:
Resource Title: Description
    Size: 42299 bytes
    Format: application/pdf
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/envidat_cosmo-desc.pdf
    Description: Full Data Description

en:
Resource Title: Coordinates of Grid Points
    Size: 255151 bytes
    Format: application/x-rds
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/gridch.rds
    Description: Coordinates of Grid Points

mountain-wind-potential

display_name: mountain-wind-potential

topography

display_name: topography

wind-energy

display_name: wind-energy


en: This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.

en: Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach

en: biodiversity-assessment environmental-dna dna-metabarcoding biomonitoring spatial-ecology

en:
Resource Title: Analysis and Figures
    Size: 238547 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/a255cdf5-9d88-4ba7-83af-df37d3c6e665/download/02_analysis_figures.zip
    Description: This zipped file includes R scripts and the datasets required to run the analyses. A README describes the columns in each dataset.

en:
Resource Title: Genomic data
    Size: 5153960755 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.409/eDNA_paper_bioinformatic_pipeline.zip
    Description: Fastq files, primer descriptions and the final output dataset.

en:
Resource Title: Field Metadata
    Size: 6661 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/4d6f2c3d-0ae9-473e-8023-adf6e99d4aa7/download/field_metadata.csv
    Description: Information concerning the locations and times of sampling, as well as the identity of the samplers and relevant comments.

biodiversity-assessment

display_name: biodiversity-assessment

biomonitoring

display_name: biomonitoring

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

spatial-ecology

display_name: spatial-ecology


en:
Environmental pressures on species can cascade within food webs and even extend beyond individual ecosystems to interconnected systems at large spatial scales. To facilitate the exploration of these dynamics, we constructed trophiCH: a data-based national trophic meta-food web (henceforth the metaweb), that includes vertebrates, invertebrates, and vascular plants within Switzerland's national boundaries, and drawing from literature published between 1862 and 2024. Our comprehensive dataset catalogues 1,112,073 trophic interactions involving 23,151 species and 125 feeding guilds (e.g., detritivores, fungivores, etc). Interactions were primarily documented at the species level from the literature. Additional species-level interactions were inferred by resolving coarser taxonomic records (e.g., using “species A feeds on genus B” to infer interactions between species A and species within genus B) using taxonomic and habitat co-occurrence information.
We provide seven datasets: 1) the metaweb, 2) the taxa checklist, 3) the data source meta-dataset, 4) the list of generalist basal and predator families and polylectic species with citations and 5) a dataset with citations for the inferences of missing predators, 6) a dataset with citations for the parallel inference of diets from similar species and 7) a list of other existing metawebs. The empirical dataset is 00_empirical_metaweb.csv. To reproduce the final metaweb (01_final_metaweb.csv), start the R Project file: trophich.Rproj. We provide five scripts, accompanying functions, and the raw data required to run these scripts to reproduce the taxonomic expansion and validation of the datasets. In the first script (01_inferring_interactions.R), we infer interactions using genus and family level interactions and for basal feeding groups (see Methods: Taxonomic expansion). In the second script (02_inferring_interactions_special_cases.R), we infer further interactions for a few special cases with detailed explanations. In the third script (03_metaweb_comparisons.Rmd), we provide the statistical comparisons between our metaweb and other empirical metawebs as an R Markdown document. We additionally provide a a Python Jupyter Notebook document, outlining the error validation of the data extraction process (04_error_validation.ipynb and an accompanying .html file). Finally, we provide a script to reproduce figure 1 from the associated data paper (05_metaweb_summary_figure_1.R).
This is a first step towards a comprehensive food web for Switzerland, but data gaps remain (see Reji Chacko et al 2024, Fig.1C). We encourage addition of new datasets to this metaweb and welcome any collaborations to contruibute to future versions of this dataset. Please contact: merin.rejichacko@gmail.com.

en: trophiCH v1 - a food web for Switzerland

en: invertebarates vascular-plants vertebrates metaweb food-webs trophic-networks switzerland

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

envi

en: Environment

en:
Resource Title: trophiCH 1.0
    Size: 33123041 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/4f9547a1-3018-46f1-a399-09d65a3223f3/resource/6d7f57cc-a98f-4513-9c65-c0230a15bba7/download/trophich.zip
    Description: Most current version of the dataset, after revision round 1 at Scientific Data.

en:
Resource Title: trophich 0.1
    Size: 34142639 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/4f9547a1-3018-46f1-a399-09d65a3223f3/resource/fe802436-f927-4243-b199-0829a3e0d21b/download/trophich.zip
    Description: Deprecated version from before the first round of review at Scientific Data

food-webs

display_name: food-webs

invertebarates

display_name: invertebarates

metaweb

display_name: metaweb

switzerland

display_name: switzerland

trophic-networks

display_name: trophic-networks

vascular-plants

display_name: vascular-plants

vertebrates

display_name: vertebrates


en:
The WFJ_DailySMP dataset contains daily SnowMicroPen (SMP) measurements conducted throughout the winter seasons 2015-2025 (ongoing) at the Weissfluhjoch research site, Davos, Switzerland. The measurement program DailySMP started in winter 2015/2016 during which the measurement protocol was established as part of the RHOSSA campaign, described in the related publication.
Since then, measurements have been repeated every winter as part of the standard snow monitoring program by the PhD students at SLF. All published SMP files have undergone manual quality control by an expert, including a supervised detection of the snow surface, which is included in the dataset.
In addition to the raw data, we provide a rudimentary post-processing workflow in which the derived SSA and density profiles are adjusted by the total snow height obtained from the adjacent IMIS snow station (https://www.slf.ch/en/avalanche-bulletin-and-snow-situation/measured-values/description-of-automated-stations/) and their evolution is plotted over time. Please refer to the README for detailed information on how to get started.

en: WFJ_DailySMP - High-Resolution Snow Stratigraphy at Weissfluhjoch -- Davos 2015-ongoing

en: microstructure weisfluhjoch wfj-research-site snow-density snow snow-measurements snowmicropen snow-ssa snow-stratigraphy weissfluhjoch

microstructure

display_name: microstructure

snow

display_name: snow

snow-density

display_name: snow-density

snow-measurements

display_name: snow-measurements

snow-ssa

display_name: snow-ssa

snow-stratigraphy

display_name: snow-stratigraphy

snowmicropen

display_name: snowmicropen

weisfluhjoch

display_name: weisfluhjoch

weissfluhjoch

display_name: weissfluhjoch

wfj-research-site

display_name: wfj-research-site


en:
This repository contains all observational data sets during CALISHTO campaign used for the paper: Gao, K., Vogel, F., Foskinis, R., Vratolis, S., Gini, M. I., Granakis, K., Zografou, O., Fetfatzis, P., Berne, A., Papagiannis, A., Möhler, O., Eleftheridadis, K., and Nenes, A.: On the drivers of ice nucleating particle diurnal variability in Eastern Mediterranean clouds, npj Climate and Atmospheric Science,  Preprint link: https://www.researchsquare.com/article/rs-4378562/v1.
CALISHTO campaign was conducted between 12 October and 27 November 2021 to observe ice nucleating particles and aerosol properties at the Helmos Hellenic Atmospheric Aerosol and Climate Change station in Eastern Mediterranean, to understand cloud-aerosol interactions. To evaluate the spatial-temporal variabilities and characteristics of ice nucleating particles, a high-time resolution ice nucleation spectrometer was employed and different online aerosol  property measurements were conducted in-situ, including particle number concentration, particle size distribution, particle fluorescent properties, and particle chemical composition. In addition, planetary boundary layer conditions at the observation site were determined by remote sensing techniques employed at a lower site.

en: CALISHTO campaign dataset for the publication On the Drivers of Ice Nucleating Particle Diurnal Variability in Eastern Mediterranean Clouds

en: biological-particles aerosol-cloud-interactions diurnal-variability fluorescent-particles dust-particles ice-nucleation

en:
Resource Title: Figure 2.xlsx
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/c95e8863-99bb-4070-8967-9c0c5a767f26/download/figure-2.xlsx
    Description: This file contains data presented in Figure 2 in the main text.

format: XLS

en:
Resource Title: Figure 3.xlsx
    Size: 41657 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/7d25f431-719b-4e81-9e87-71d6b73cac97/download/figure-3.xlsx
    Description: This file contains data presented in Figure 3 in the main text.

en:
Resource Title: Data for figures in the Supplementary.xlsx
    Size: 2644777 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/e3581bf2-16cd-4e3e-9c16-80be733e57fd/download/data-for-figures-in-the-supplementary.xlsx
    Description: This file contains data presented in Figure S2 to S36 in the supplementary.

en:
Resource Title: Figure 1.xlsx
    Size: 19296 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/0459364f-4c2f-4bd2-9825-1a3b527f0550/download/figure-1.xlsx
    Description: This file contains data presented in Figure 1 in the main text.

en:
Resource Title: Figure 7.xlsx
    Size: 91997 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/63f8b6ff-76a2-4328-a51d-5aaf64705381/download/figure-7.xlsx
    Description: This file contains data presented in Figure 7 in the main text.

en:
Resource Title: Figure 5.xlsx
    Size: 39112 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/ed2dec5e-6d02-4835-8c7c-d9054b8bd9da/download/figure-5.xlsx
    Description: This file contains data presented in Figure 5 in the main text.

en:
Resource Title: Figure 4.xlsx
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/8756a238-ca3d-43e1-8f4b-60877d046731/download/figure-4.xlsx
    Description: This file contains data presented in Figure 4 in the main text.

en:
Resource Title: Figure 6.xlsx
    Size: 43273 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/cf74de68-a026-4c43-abc9-f5cfb4beadb9/resource/b2d4280e-e366-40e2-9bb1-2480dbb19f6c/download/figure-6.xlsx
    Description: This file contains data presented in Figure 6 in the main text.

aerosol-cloud-interactions

display_name: aerosol-cloud-interactions

biological-particles

display_name: biological-particles

diurnal-variability

display_name: diurnal-variability

dust-particles

display_name: dust-particles

fluorescent-particles

display_name: fluorescent-particles

ice-nucleation

display_name: ice-nucleation


photogrammetric-drone-data-dorfberg

en: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).

en: Photogrammetric Drone Data Dorfberg

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

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

title_for_slug: photogrammetric-drone-data-dorfberg

envi

en: Environment

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

snow-distribution

display_name: snow-distribution

uav

display_name: uav


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

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

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

food-webs

display_name: food-webs

habitat-fragmentation

display_name: habitat-fragmentation

metaweb

display_name: metaweb

network-analysis

display_name: network-analysis

robustness

display_name: robustness

trophic-networks

display_name: trophic-networks

trophich

display_name: trophich


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

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

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

en:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/527f3701-eabd-4f19-a49c-890fd892c418/download/16072024_study_sties.csv
    Description: For each site, the IDs, city, coordinates, structure where the trapnest was attached and height is provided

en:
Resource Title: Predictors of the study
    Size: 32135 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/f510735e-de09-44fd-a355-997320ef1db1/download/predictors.non.scaled.csv
    Description:

en:
Resource Title: Performance traits and life-history traits
    Size: 411653 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/34eacb06-974a-43c5-9c9b-e347cd84705a/download/25042022_life_history_nest.csv
    Description: It contains the data of two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts) at the nest level.

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

en:
Resource Title: Taxonomic metrics on CNBW
    Size: 14605 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/971340ee-519a-4616-a8fb-58a854a3374b/download/25042022_community_structure_life_history_site.csv
    Description: The data contains at the site level the species richness of cavity-nesting bees and wasps. It also contains site level estimates of the life-history traits and the performance traits.

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

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

en:
Resource Title: Taxonomic metrics on the natural enemies
    Size: 3882 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/1d628995-7010-42e5-b2b4-61e74ad78207/download/25042022_enemy_info.csv
    Description: It contains the species richness and the abundance of natural enemies per site.

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

cities

display_name: cities

hymennoptera

display_name: hymennoptera

hymenoptera

display_name: hymenoptera

life-history-traits

display_name: life-history-traits

natural-enemies

display_name: natural-enemies

performance-traits

display_name: performance-traits

richness

display_name: richness

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wasps

display_name: wasps


en:
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions is largely driven by snowmelt timing and local temperature, it is essential to simultaneously track phenological shifts, snowmelt, and near-ground temperatures. In this study, we make use of ultrasonic snow height sensors installed at climate stations in the Swiss Alps to reveal phenological advance of grassland ecosystems and relate them to climatic changes over 25 years (1998 – 2023). When snow is absent, these snow height sensors additionally provide information on plant growth at a uniquely fine temporal scale. Daily temperatures and snow- / plant height values, annual phenological- and melt-out dates were derived from IMIS climate station data (doi.org/10.16904/envidat.406). We observed an advance of green-up by -2.4 days/decade coinciding with strong warming of up to +0.8°C/decade. Although the timing of melt-out has not changed significantly over the study period in this focal region, phenological responses to early melt-out years varied due to differing influences of photoperiodic and thermal constraints, which were not equally important across elevations and communities. Phenological shifts of alpine grasslands are thus likely to become even more pronounced if melt-out timing advances in the future as predicted.
This repository relates to the publication Zehnder et al. (2025). Snow height sensors reveal phenological advance in alpine grasslands. Global Change Biology. accepted. The model data and code that support our findings are deposited in this repository.

en: IMIS Phenology Data Since 1998

en: ultrasonic imis grassland monitoring climate long-term snow phenology snowmelt alpine

en:
Resource Title: 4_functions.R
    Size: 8508 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/57a701f9-40be-4068-9ae6-b2a101e8d802/download/4_functions.r
    Description: Contains custom functions required for the scripts; this file must be sourced before running other scripts.

en:
Resource Title: snow3.png
    Size: 12808 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/afa71796-2a2e-4b7b-9885-d2a0fa47ed31/download/snow3.png
    Description: Snow3.png and grass.png are needed for plotting the methods plot in 5_methods_plots.Rmd

format: PNG

media_type: image/png

en:
Resource Title: 5_method_plots.Rmd
    Size: 14013 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/91df036c-3904-4c7b-84de-355012cbbad9/download/5_method_plots.rmd
    Description:  Generates the methods-related figures used in the publication.

en:
Resource Title: 0_readme.Rmd
    Size: 7952 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/89105a24-c1b0-457f-8ad4-deb0a91e2aee/download/0_readme.rmd
    Description: Is the readme that documents all data and code in this repository

en:
Resource Title: IMIS_daily.csv
    Size: 198550707 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/4d2df843-22cf-46a4-84bb-a5eb09e6d1e0/download/imis_daily.csv
    Description: Contains daily climate station data including daily median temperatures, snow depth, plant height, and annual melt-out timings.

en:
Resource Title: 1_phenofit.R
    Size: 14137 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/08e70804-eed7-4a7c-8ad8-1a28c85deb2d/download/1_phenofit.r
    Description: implements the phenofit method. Note: This script is computationally intensive and may take a while to run. We recommend using the temporary data created from it (i.e. starting from 2_temperature.R). For a better description of the phenofit R package and the different methods to determine the SOG, see Kong et al. (2022): https://doi.org/10.1111/2041-210X.13870

en:
Resource Title: grass.png
    Size: 30676 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/c190e750-7951-4434-b3e1-325bca7a6ddc/download/grass.png
    Description: Snow3.png and grass.png are needed for plotting the methods plot in 5_methods_plots.Rmd

en:
Resource Title: station_info.csv
    Size: 14695 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/1e867868-1e64-4ec6-9788-aaa7ab9fd561/download/station_info.csv
    Description: Contains IMIS station location data

en:
Resource Title: phenostations.csv
    Size: 463262 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/210f372a-6bf4-42ce-aadc-6751e00c2a74/download/phenostations.csv
    Description: Contains filtered annual phenological data from 40 IMIS stations suitable and used for phenological analysis

en:
Resource Title: 3_models.Rmd
    Size: 70950 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/3799ac14-e0c6-4651-a18f-bc507ebb87d2/download/3_models.rmd
    Description:  Documents and reproduces the statistical models used in the analysis.

en:
Resource Title: phenofit_outputlist.rds
    Size: 132907 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/95fca3e1-8f8f-4b1b-bc53-9c9778462b67/download/phenofit_outputlist.rds
    Description: Temporary data. Contains annual unfiltered output of phenofit (i.e. the variable names are in line with the phenofit documentation), including all curve parametrization variables for plotting and additional variables, which are not necessarily used in the analysis.

en:
Resource Title: all_stations.csv
    Size: 1351408 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/2f390316-91a2-4600-a188-b6c1045065c1/download/all_stations.csv
    Description: Contains unfiltered annual phenological, temperature and snow-climatic data for all IMIS stations.

en:
Resource Title: 2_temperature.R
    Size: 23036 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/19951a82-e3bf-4650-bc36-dbe502dff703/download/2_temperature.r
    Description: Contains temperature-related calculations.

en:
Resource Title: pheno_params.csv
    Size: 417970 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53a457eb-0915-43d1-98ec-a11b4963b6ff/resource/1a1b4c9a-2fe8-471f-8c36-616d5fd17738/download/pheno_params.csv
    Description: Contains annual phenological variables and phenofit outputs, sorted, ordered and renamed according with the readme in this repository

alpine

display_name: alpine

climate

display_name: climate

grassland

display_name: grassland

imis

display_name: imis

long-term

display_name: long-term

monitoring

display_name: monitoring

phenology

display_name: phenology

snow

display_name: snow

snowmelt

display_name: snowmelt

ultrasonic

display_name: ultrasonic


en:
Description: Fish environmental DNA data set collected in 2023 in the Calanques National Park
The eDNA samples were collected in 2023 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the winter (January- February) season, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To account for the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: Environmental DNA Marine France Calanques 2023

en: fish-composition teleo marine marseille edna mediterraneaen

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

envi

en: Environment

edna

display_name: edna

fish-composition

display_name: fish-composition

marine

display_name: marine

marseille

display_name: marseille

mediterraneaen

display_name: mediterraneaen

teleo

display_name: teleo


en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

en: Data of national dishes, their similarity and trade flows

en: food-taste-similarity latent-semantic-analysis agro-food-trade food-preferences national-dishes

en:
Resource Title: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)
    Size: 1794299 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/6b96fac9-bab5-4afb-8fb5-b016897861f6/download/diagrams.7z
    Description: The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

en:
Resource Title: National dishes, migration data and data for bilateral food trade flows
    Size: 22226815 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/47eb0962-d57c-4252-9743-8c9e965e786f/download/gravity_food_sim_final.csv
    Description: The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

en:
Resource Title: information on ingredients of national dishes
    Size: 95593 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/2bb64e3b-48cc-404d-9fb9-2b7d86e61e76/download/foodculture_dishes_rev2.csv
    Description:  shows information of ingredients of all national dishes of 171 countries and their names

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes