en: biodiversity grassland plants soil-biodiversity soil-biology soil restoration fungi topsoil-removal nematodes bacteria soil-chemistry

en: Soil properties

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
N.pool	Soil nitrogen pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
Corg.pool	Soil organic carbon pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
pH	soil pH [CaCl2]
BD	Bulk density [g cm-3]
FC	Field capacity [%]
Veg.1	principle coordinate axis 1 (vegetation)
Veg.1	principle coordinate axis 2 (vegetation)
Nem.1	principle coordinate axis 1 (nematoda)
Nem.2	principle coordinate axis 2 (nematoda)
Fun.1	principle coordinate axis 1 (fungi)
Fun.2	principle coordinate axis 2 (fungi)
Prok.1	principle coordinate axis 1 (prokaryota)
Prok.2	principle coordinate axis 2 (prokaryota)
Veg.H	Shannon diversity (vegetation)
Nem.H	Shannon diversity (nematoda)
Fun.H	Shannon diversity (fungi)
Prok.H	Shannon diversity (prokaryota)

en: Fungi data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
OTU.ID	consecutive numbers for operational taxonomic units (OTUe 1-7794)
Taxonomic rank	Domain, Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	OTU.ID (see Taxonomy)

en: Nematode data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
ASV.ID	unit number.letter code per amplicon sequence variant (in total 904)
Taxonomic rank	Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	ASV.ID (see Taxonomy)

en: Ecosystem coupling_interactions

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic
Correlation	non-parametric Spearman rank correlations between biotic and abiotic parameters (ecological interactions)

en: Distance to target results

en:
Community	biotic community (vegetation, nematoda, fungi, prokaryota)
Treatment	Treatment groups; Y.4-30= restored grasslands (time since restoration); Initial=intensively managed grasslands (I)
Comparison	within- or between-community Bray-Curtis dissimilarity distance comparison
Label	within-community distances of initial/restored grasslands: treatment abbreviation; between-communities distances of initial/restored-to-target grasslands: treatment abbreviation plus Target (T; species-rich grasslands)
mean	Mean distance to Target (6 plots per treatment group)
sd	Standard deviation of distances to Target (6 plots per treatment group)

en: Networks

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Correlation	non-parametric Spearman rank correlations
Vertex.1+2	Comparison between network components; N.pool = total soil nitrogen pool [kg ha-1 12 cm-1]; Corg.pool = soil organic carbon pool [kg ha-1 12 cm-1], pH = soil pH [CaCl2]; BD = bulk density [g cm-3]; FC = field capacity [%]
	PCoA 1 + 2 biotic communities [Veg = vegetation; Nem = nematoda; Fun = fungi; Prok = prokaryota]
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic

en: Vegetation data

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
column I-LW	Plant abundance per species (in total 327 plant species) expressed as cover percentage estimation according to van der Maarel (vdM 1979; 7 classes: 1-7); nomenclature according to Lauber & Wagner (1996)

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

Paper Citation:

_Resch, M.C., Schütz, M., Ochoa-Hueso, R., Buchmann, N., Frey, B., Graf, U., van der Putten, W.H., Zimmermann, S., Risch, A.C. (in review). Long-term recovery of above- and belowground interactions in restored grassland after topsoil removal and seed addition. Journal of Applied Ecology_

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

Study area and experimental design
The study was conducted in and around two nature reserves, Eigental and Altläufe der Glatt, which were located approximately 5 km apart (47°27´ to 47°29´ N, 8°37´ to 8°32´ E, 417 to 572 m a.s.l., Canton of Zurich, Switzerland; Figure S1 and S2, Table S1). Mean annual temperature and precipitation are 9.8 ± 0.6 °C and 990 ± 168 mm (Kloten climate station 1988-2018; MeteoSchweiz, 2019). TFor this study, we used a space-for-time approach based on eight restoration sites that were between 3 and 32 years old. We measured recovery and restoration success by comparing the restored grasslands with intensively managed and semi-natural grasslands. Using a space-for-time approach requires high similarities in historical properties of the site, such as soil conditions and management regimes, to assure that temporal processes are appropriately represented by spatial patterns (Walker et al., 2010). This was the case in our study. The restored sites had similar soil conditions (i.e., soil type, structure, water availability) as the targeted semi-natural grasslands, while they shared the same agricultural legacy with intensively managed grasslands, i.e., biomass harvest and fertilization (manure and/or slurry) three to five times a year as well as tillage. We randomly established three 5 m x 5 m (25-m2) plots for plant identification and three 2 m x 2 m (4-m2) subplots for soil biotic and abiotic data collection at least 2 m away from the 25-m2 plots in each restoration site. Sites of similar age were grouped into four age classes: Y.4 (3 & 4 years after restoration), Y.18 (17 & 19 years), Y.24 (23 & 25 years), and Y.30 (27 & 32 years). Six intensively managed (Initial) and six semi-natural grassland (Target) sites complemented the experimental set-up, for a total of 36 plots. All plots were sampled under similar conditions, i.e., day of the year, air temperature, soil moisture, and time since last rain event, in June/July 2017 (intensively managed and semi-natural plots) and 2018 (restored plots).

Collection of plants and selected soil biota data
Plant species cover (in %) was visually estimated in each 25-m2 plot in mid-June (Braun-Blanquet, 1964; nomenclature: Lauber & Wagner, 1996). We calculated Shannon diversity and assessed plant community structure. We included soil microbial (fungi, procaryotes) and nematodes in our study as they represent the majority of soil biotic diversity and abundance (Bardgett & van der Putten, 2014), cover various trophic levels of the soil food web (Bongers & Ferris, 1999), and play key roles in soil functioning and ecosystem processes (Bardgett & van der Putten, 2014). In particular, soil nematodes were found to be well suited belowground indicators to evaluate recovery/development after restoration (e.g. Frouz, et al. 2008; Kardol et al., 2009; Resch et al., 2019). We randomly collected ten soil cores (2.2 cm diameter x 12 cm depths; sampler from Giddings Machine Company, Windsor, USA) in the 4-m2 subplots to assess soil nematode and microbial (fungal, prokaryotic) diversities and community structures. For soil nematodes, eight of the soil cores were combined and gently homogenized, placed in coolers and stored at 4 °C and transported to the laboratory (Netherlands Institute of Ecology, NIOO, Wageningen, Netherlands) within three days after collection. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriators (Oostenbrink, 1960). After extraction, each sample was divided into three subsamples, two for molecular identification and one to determine nematode abundance (see Resch et al., 2019). For the molecular work, two subsamples were stored in 70% ethanol (final volume 10 mL each) and transported to the laboratory at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland). Each subsample was reduced to roughly 200 μL by centrifugation and removal of the supernatant. The remaining ethanol was vaporized (65 °C for 3 h). Thereafter, 180 μL ATL buffer solution (Qiagen, Hilden, Germany) was immediately added and samples were stored at 4 °C until further processing. From these samples, nematode metagenomic DNA was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer`s protocol, except for the incubation step which was run at 56 °C for 4 h. PCR amplification of the V6-V8 region of the eukaryotic small-subunit (18S) was performed with 7.5 μL of genomic DNA template (ca. 1 ng/μL) in 25 μL reactions containing 5 μL PCR reaction buffer, 2.5 mM MgCL2, 0.2 mM dNTPs, 0.8 μM of each primer (NemF: Sapkota & Nicolaisen, 2015; 18Sr2b: Porazinska et al., 2009), 0.5 μL BSA, and 0.25 μL GoTaq G2 Hot Start Polymerase (Promega Corporation, Madison, USA). Amplification was using an initial DNA denaturation step of 95 °C for 2 min, followed by 35 cycles at 94 °C for 40 sec, 58 °C for 40 sec, 72 °C for 1 min, and a final elongation step at 72 °C for 10 min. Filtering, dereplication, sample inference, chimera identification, and merging of paired-end reads was implemented using the DADA2 pipeline (v.1.12; Callahan et al., 2016) to finally assign amplicon sequence variants (ASVs) as taxonomic units.
We combined and homogenized the remaining two soil cores to assess soil microbes, placed them in coolers (4 °C) and transported them to the laboratory at WSL. Metagenomic DNA was extracted from 8 g sieved soil (2 mm) using the DNAeasy PowerMax Soil Kit (Qiagen, Hilden, Germany) according to the manufacturer´s protocol. PCR amplification of the V3-V4 region of the small-subunit (16S) of prokaryotes (i.e., bacteria and archaea) and the ribosomal internal transcribed spacer region (ITS2) of fungi was performed with 1 ng of template DNA using PCR primers and conditions as previously described (Frey et al., 2016). PCRs were run in triplicates, pooled and sent to the Genome Quebec Innovation Centre (Montreal, QC, Canada) for barcoding using the Fluidigm Access Array technology (Fluidigm) and paired-end sequencing on the Illumina MiSeq v3 platform (Illumina Inc., San Diego, USA). Quality filtering, clustering into operational taxonomic units (OTUs, 97% similarity cutoffs) and taxonomic assignment were performed as previously described (Resch et al., 2021).Taxonomic classification of nematode, prokaryotic and fungal sequences was conducted querying against the most recent versions of PR2 (v.4.11.1; Guillou et al., 2013), SILVA (v.132; Quast et al., 2013), and UNITE (v.8; Nilsson et al., 2019) reference sequence databases. Taxonomic assignment cutoffs were set to confidence rankings ≥ 0.8 (below ranked as unclassified). Prokaryotic OTUs assigned to mitochondria or chloroplasts as well as OTUs or ASVs assigned to other than Fungi or Nematoda were manually removed prior to data analysis. The three datasets were filtered to discard singletons and doubletons. Taxonomic abundance matrices were rarefied to the lowest number of sequences per community to achieve parity of the total number of reads between samples (Prokaryotes: 10,929 reads; Fungi: 18,337 reads; Nematodes: 6,662 reads). We calculated Shannon diversity and assessed community structures for soil nematodes, prokaryotes and fungi based on their relative abundances of ASV or OTU at the taxon level.

Collection of soil physical and chemical properties
We randomly collected one undisturbed soil core (5 cm diameter, 12 cm depth) per 4-m2 subplot using a steel cylinder that fit into the soil corer. The cylinders were capped to avoid disturbance during transport and used to measure field capacity, rock content and fine earth density as previously described (Resch et al., 2021). We randomly collected another three soil cores (5 cm diameter, 12 cm depths) in each 4-m2 subplot to determine soil chemical properties. The cores were pooled, dried at 60 °C for 48 h and passed through a 2 mm sieve. We measured soil pH (CaCl2) on dried samples, total nitrogen (N) and organic carbon (C) concentration on dried and fine-ground samples (≤ 0.5 mm; for details see Resch et al., 2021). We calculated total N and organic C pools after correcting its concentration for soil depth, rock content and fine earth density.

biodiversity

display_name: biodiversity

grassland

display_name: grassland

nematodes

display_name: nematodes

plants

display_name: plants

restoration

display_name: restoration

soil

display_name: soil

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

topsoil-removal

display_name: topsoil-removal

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: Long-term recovery of above-and belowground interactions in restored grasslands


maintainer: Alexandre Buttler

en: climate-change biogeochemisty silvopastoral-systems soil transplantation-experiment

state: active

type: dataset

en: Dataset

media_type: application/zip

en: Zip archive of all datasets detailed in study.

format: ZIP

mimetype: application/zip

en:
Silvopastoral systems are highly productive and combine long-term wood production with annual provision of forage for livestock. In the Swiss Jura Mountains these systems are a key component of the landscape. As in other cold biomes, climate change can potentially accelerate landscape change within these historically sustainable systems.

In order to anticipate the evolution of subalpine wooded pasture ecosystems under future climate and land-use changes, this project focused on the interplay between soil, vegetation and climate. It was aimed at providing experimental evidence for chief ecosystem processes, with emphasis on the quality of the ecosystem services provided. The main interest was placed on vegetation turf resistance to climate change along an unwooded – sparsely wooded - densely wooded pasture gradient (land-use intensity), where plant productivity, diversity and succession along with rates of carbon cycling and microbial activity provided measures of ecosystem functioning at both plot and landscape level.

Experimental transplantation of monolith soil turfs to lower altitudes allowed to simulate soil warming and reduced annual precipitation. In order to simulate a year-round warmer and drier climate the natural climate variation along an altitudinal gradient was used as a proxy. The aim was to simulate realistic climate change scenarios for the second half of the 21st century predicted by the IPCC report and downscaled for Switzerland providing regionalized interpolated projections integrating therein trends for temperature increase and precipitation decrease. By using permanent meteorological stations within the network of the Federal Office of Meteorology and Climatology (MeteoSwiss), we obtained high resolution regional data on the variation of mean annual temperature (MAT) and mean annual precipitation (MAP) in relation to altitude in the Swiss Jura Mountains. We observed a general increase of +0.5 K in MAT and a decrease of -20 % MAP for each 100 m decrease in altitude along the SE slope of the Swiss Jura Mountains. These relationships served for the selection of the transplantation sites such that in comparison to a control site at 1350 m a.s.l. (Combe des Amburnex, N 46°54’, E 6°23’) a +2 K MAT and -20 % MAP was achieved at 1010 m a.s.l. (Saint-George, N 46°52’, E 6°26’), a +4 K MAT and -40 % MAP at 570 m a.s.l., (Arboretum d’Aubonne, N 46°51’, E 6°37’), and a +5 K MAT and -50 % MAP at 395 m a.s.l. (Les Bois Chamblard, N 46°47’, E 6°41’). The two stations at 1010 m a.s.l. and 570 m a.s.l. corresponded to the IPCC scenario A1B for a moderate increase in greenhouse gas emissions and to scenario A2 for a high increase in greenhouse gas emissions, respectively. The station at 395 m a.s.l. was chosen to represent an extreme scenario with climate variables lying at the positive tail distribution of model predictions under the A2 scenario.

Soil cores were assembled into rectangular PVC boxes of 60  80 cm2 size and of 35 cm height. All mesocosms were dug down to surface level into previously prepared trenches in the ground thus preventing lateral heat exchange with the atmosphere. Since at each site the mesocosms were placed in a common garden with no light interception, mesocosms with turfs from the two wooded pastures were shaded from direct sun light to simulate the natural light conditions in the corresponding habitats. Each mesocosm was equipped with a drainage system and was connected to a water tank thus representing a zero potential lysimeter collecting soil solution and precipitation/snowmelt runoff. ECH2O EC-TM sensor probes coupled to Em50 data-loggers (Decagon Devices, Inc., USA) recorded soil temperature and volumetric water content in each mesocosm at the top-soil (0 to -3 cm) every minute and data were averaged over one hour intervals. Climate parameters at each transplantation site were monitored continuously throughout the experiment by means of automated weather stations (Sensor Scope Sàrl, Switzerland), measuring rain precipitation (non-heated tipping bucket gauges) and air temperature and humidity 2 m above the ground surface at one minute intervals.

A list of above- and belowground variables were measured to assess the resilience of biogeochemical processes, plant productivity, tree regeneration, and carbon sequestration for each respective land-use practice. Furthermore, the experimental data were used to improve on (parameterization) the existing spatially explicit, dynamic model WoodPaM and refine the modelʼs climatic and land-use variables so that different scenarios of climate change and land use change could be simulated. Natural and management induced disturbance patterns were incorporated into the model.
The data have been made available within the project CCES Mounted. The climate stations Sensorscope are still in use within the project CLIMARBRE (Wald und Klimawandel, WSL/BAFU).

#References

1. Puissant, J., Cécillon, L., Mills, R.T.E., Robroek, B.J.M. Gavazov, K., De Danieli, S., Spiegelberger, T., Buttler, A., Brun, J.J. 2015. Seasonal influence of climate manipulation on microbial community structure and function in mountain soils. Soil Biology and Biochemistry 80: 296–305.
2. Mills, R., K. Gavazov, T. Spiegelberger, D. Johnson and A. Buttler 2014. Diminished soil functions occur under simulated climate change in a sup-alpine pasture, but heterotrophic temperature sensitivity indicates microbial resilience. Science of the Total Environment, vol. 473–474(0): 465-472.
3. Gavazov, K., Spiegelberger, T. and Buttler, A. 2014. Transplantation of subalpine wood-pasture turfs along a natural climatic gradient reveals lower resistance of unwooded pastures to climate change compared to wooded ones. Oecologia (174) : 1425-1435.
4. Peringer A., Siehoff S., Chételat J., Spiegelberger T., Buttler A. & Gillet F. 2013. Past and future landscape dynamics in pasture-woodlands of the Swiss Jura Mountains under climate change. Ecology and Society, 18, 3: 11. DOI: 10.5751/ES-05600-180311. [online] URL: http://www.ecologyandsociety.org/vol18/iss3/art11/
5. Gavazov, K. S., A. Peringer, A. Buttler, F. Gillet and T. Spiegelberger. 2013. Dynamics of Forage Production in Pasture-woodlands of the Swiss Jura Mountains under Projected Climate Change Scenarios. Ecology and Society 18 (1): 38. [online] URL: http://www.ecologyandsociety.org/vol18/iss1/art38/

biogeochemisty

display_name: biogeochemisty

climate-change

display_name: climate-change

silvopastoral-systems

display_name: silvopastoral-systems

transplantation-experiment

display_name: transplantation-experiment

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Biogeochemical data from a transplantation experiment of monolith soil turfs along an altitudinal gradient to simulate climate change scenarios


data-set-on-snow-instability

maintainer: EnviDat Support

title_for_slug: data-set-on-snow-instability

en: snow-avalanche avalanche-forcasting rutschblock propgatoin-saw-test crack-propagation weak-layer slab failure-initiation snow-stability-evaluation slab-tensile-support

en: data set on snow instability

media_type: text/csv

format: CSV

mimetype: text/csv

en: Read-me file on snow instability data

media_type: application/pdf

format: PDF

mimetype: application/pdf

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.

Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

en: Data set on snow instability


en: cable-yarding wms-data qgis-plugin seilaplan swiss-geodata digital-elevation-model geoinformation-system open-source digital-planning

en: View video on youtube!

format: SERVICE

en: WMS-Layer als Hintergrundkarten laden

en:
In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German!

Link for the integration of WMS data: https://wms.geo.admin.ch/

Link to the description on the Swisstopo website:
https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html

Link to the Seilaplan website: https://seilaplan.wsl.ch

**************************

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI.

Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/

Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html

Link zur Seilaplan-Website: https://seilaplan.wsl.ch

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

wms-data

display_name: wms-data

en: Seilaplan Tutorial: Load WMS layers as background maps


maintainer: Giulia Francesca Azzurra Donati

en: human-dominated-landscapes urban-spatial-planning integrated-modelling biodiversity circuit-theory ecological-corridors

en: Amphibian species specific landscape resistance maps.

media_type: zip-compressed folder of ascii files

en: For each amphibian species we used the weighted average Ensemble model suitability map and converted it to a resistance map using an exponential decay function following (Duflot et al., 2018) using the species-specific mpa threshold previously computed (Preau et al., 2020). The function assigns a resistance value of 1,000 when habitat suitability equals zero, and a value of one when habitat suitability is greater than or equal to the binarization threshold. The exponential shape strengthens the barrier effect of less favorable areas.

en: Amphibian breeding sites of national importance - cantons of Aargau and Zürich

media_type: .asc

en: Amphibian breeding sites of national importance (focal nodes) in the cantons of Aargau and Zürich, 30x30 m resolution, binarised ascii format.

en: Amphibian whole life cycle predictors - 10m resolution

en:
Amphibian whole life cycle predictors include 6 variable types:
(1)	Topographic – slope [°]: derived from the Swiss Topographical Landscape model (swissTLM 3D 2015) at 2 m resolution (elevation uncertainty ± 0.5m) and, subsequently, aggregated to a median value;
(2)	Hydrologic: two predictors including nearest distance to water [m] (all water-related objects and rasterized lotic, lentic and reedbeds from the regional cadastral maps – AV: Daten der Amtliche Vermessung) and runoff coefficient [C] (between 0 and 1 relating amount of runoff to amount of precipitation, mapped AV: Daten der Amtliche Vermessung data against literature values for different land covers);
(3)	Edaphic – soil moisture variability (not available): can gathered from the spatial modelling of Ecological Indicator Values in Switzerland (Descombes et al., 2020) and resampled from 100m to 10m;
(4)	Vegetation: we calculated the median and standard deviation of the Normalized Difference Vegetation Index (NDVI) from all available cloud free Sentinel-2 pixels available between April and October for the years 2016 to 2019 (Drusch et al., 2012) and the median vegetation height [m] (not available) can gathered from Ginzler and Hobi (2015);
(5)	Land-use derived: includes three predictors, grassland density [grassland/cell] (not available) - can be gathered from Pazur et al. (2021), total grasslands area evaluated using a spatial weight matrix and a 250m neighborhood radius around each cell; urbanization [buildings/cell] – average building density for a 250m neighborhood around each cell based on the AV: Daten der Amtliche Vermessung ; and traffic intensity [vehicles/day] – average daily vehicle count (Nationales Personenverkehrsmodells);
(6)	Movement-ecology related: includes three predictors of proximity – nearest forest distance [m]; nearest rock-gravel and sandy area (RGS) distance [m] and nearest road distance [m] (considering any road type) – all calculated based on the AV: Daten der Amtliche Vermessung maps.

en: Amphibian monitoring data

media_type: .csv

en: Processed amphibian occurrence data (2017-2019) in the cantons of Aargau and Zürich. The dataset includes information for the following species: _Alytes obstetricans_,_Bombina variegata_, _Bufo bufo_, _Hyla arborea_, _Ichtyosaura alpestris_, _Lissotriton helveticus_, _Lissotriton vulgaris_, _Rana temporaria_, _Salamandra salamandra_, and _Triturus cristatus_.

en: Binarized "green" and "grey" landcover data (Cantons of Aargau and Zürich)

en: "Green" landcover refers to lawns and vegetated urban surfaces such as, for example private gardens, public parks, cemeteries, green stripes along roadsides, etc. While "grey" landcover refers to impervious grounds such as roads, troittoirs, other impervious. Binarized maps, 30x30m resolution.

en: The data includes (1) amphibian occurrence data (2017-2019) for ten species across the cantons of Aargau and Zürich gathered from the Coordination Center for the Protection of Amphibians and Reptiles of Switzerland (http://www.karch.ch), (2) amphibian whole-life cycle environmental predictors (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related), and (3) local urban "green" and "grey" landcover data which can be used to identify opportunities for Blue-Green Infrastructure (through green or grey transitions) in support of regional landscape connectivity.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

human-dominated-landscapes

display_name: human-dominated-landscapes

integrated-modelling

display_name: integrated-modelling

urban-spatial-planning

display_name: urban-spatial-planning

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: Amphibian and urban-rural landscape data Swiss Lowlands


en: terrestrial-laser-scans gridded-data terrestiral-laserscanning antarctica depth-of-snowfall

en: Scan from 11 January 2019, 10 cm resolution

media_type: ascii x, y, z

en: Scan from 27 December 2018, 1 mm resolution

en: Scan from 4 January 2019, 10 cm resolution

en: Scan from 11 January 2019, 1 mm resolution

en: Scan from 4 January 2019, 1 mm resolution

en: Scan from 27 December 2018, 10 cm resolution

en: Scan from 21 December 2018, 10 cm resolution

en: Scan from 21 December 2018, 1 mm resolution

en: Scan from 2 January 2019, 1 mm resolution

en: Scan from 2 January 2019, 10 cm resolution

en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.

Notes:

* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).

* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.

* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.

* By walking along fixed corridors, disturbance of the snow was limited.

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans

education

en: Education and science

en: EnviDat: the Environmental Data Portal

en: Terrestrial laser scans on Hammarryggen Ice Rise, Dronning Maud Land, East Antarctica


en: tls terrestrial-laser-scans polar sea-ice-elevation sea-ice

en: Link to post-processed TLS’s of Antarctic sea ice

en: Data processing documentation

media_type: DOC

en: Post Processed TLS's

media_type: ZIP

en: Compressed dat files

en:
This dataset comprises of a post-processed set of terrestrial laser scans (TLS’s) of Antarctic sea ice obtained during the Sea Ice Physics and Ecosystem Experiment-2 (SIPEX-2, http://seaice.acecrc.org.au/sipex2012/) in September-November 2012. The post-processing steps include the registration of the individual scans into a single 3-dimensional point cloud, the removal of unwanted noise caused by particles in the air (i.e., snow crystals), and the final generation of surface grids based on the cleaned individual point returns. The final product includes the ‘xyz’ coordinates of the individual point measurements, and gridded surfaces covering study areas of 100m x 100 m, and at resolutions of 0.01 m, 0.1 m, 0.25 m, 0.5 m and 1 m for each of the survey dates. Additionally, subgrid statistics that include the mean elevation, standard deviation, minimum and maximum elevations, range, and number of point returns in each gridcell are generated. The final product is provided in space-delimited text files, with the surface grids provided in Digital Terrain Model (DTM) format ready for visualization in any GIS software.

How to cite:
Please also cite the original publication when using this data set.: Trujillo, E., K. Leonard, T. Maksym, and M. Lehning (2016), Changes in snow distribution and surface topography following a snowstorm on Antarctic sea ice, J. Geophys. Res. Earth Surf., 121, doi:[10.1002/2016JF003893](https://dx.doi.org/10.1002/2016JF003893).

polar

display_name: polar

sea-ice

display_name: sea-ice

sea-ice-elevation

display_name: sea-ice-elevation

tls

display_name: tls

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: High resolution sea ice surface topography from the SIPEX-2 expedition, East Antarctica, 2012


ceilometer-klosters

title_for_slug: ceilometer-klosters

en: ceilometer klosters raclets cloud-base-height vertical-visibility

en: Ceilometer data Klosters

media_type: mat

en: Ceilometer installed at Klosters measuring cloud base height, cloud cover and backscatter profile. The time resolution is 30 seconds, with time given in number of days from January 0, 0000, UTC. More information on the variables in the manufacturer manual.

en: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

klosters

display_name: klosters

raclets

display_name: raclets

vertical-visibility

display_name: vertical-visibility

en: Ceilometer Klosters


maintainer: Matthias Haeni

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

en: Forest station data (NAB)

en: Data file.

en: Site photo of the forest station (NAB)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Data plot of the forest station (NAB)

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

en: Field station data (NAF)

en: Site photo of the field station (NAF)

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

en: Site aerial photo (Nationalpark)

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

en: Data plot of the field station (NAF)

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


maintainer: Elisabeth Hafner

en: snow avalanche hazard-mapping natural-hazard satellite

en: SPOT6 Avalanche Outlines 16 January 2019

media_type: SHP

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset and within the limitations of the dataset described in the publications.

format: SHP

en:
Outlines of 6'041 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 16 January 2019. The dataset was acquired following a period with very high avalanche danger. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping16012019.pdf)

The generation of the data is described in:

Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.

The data was comprehensivly validated in a subset area in

Hafner, E.D.; Techel, F.; Leinss, S.; Bühler, Y., 2021: Mapping avalanches with satellites - evaluation of performance and completeness. Cryosphere, 15, 2: 983-1004. doi: 10.5194/tc-15-983-2021

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: SPOT6 Avalanche outlines 16 January 2019


en: occupancy-models wetlands landscape amphibians conservation

en: Model code, description

media_type: HTML

en: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

format: HTML

en: Original raw data

media_type: XLSX

en: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

format: XLS

en: Readme

media_type: PDF

en: Description of methods and datasets.

en: Model code

media_type: Rmd

en: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

en: Observation data

media_type: CSV

en: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

en: Covariate data 2

en: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

en: Covariate data 1

en: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, and structural connectivity.

The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.

The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

amphibians

display_name: amphibians

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands

en: Amphibian observation and pond data (Aargau, Switzerland)


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

en: gbif.range R package version 0.2 (current)

en: wsl.gbif R package version 0.1 (deprecated)

en: Test version, not to be used.

en: GitHub URL

media_type: R

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*, a 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)

accepted-name

display_name: accepted-name

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

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

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


en: ecological-indicator-values soil grain-size phylogenetic-diversity climate functional-diversity taxonomic-diversity

en: Data access

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


maintainer: Michael Lehning

en: Data Source

en: Coordinates of Grid Points

en: Hourly Gridded Wind Power Time Series

en: Description

en: Full Data Description

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)_

mountain-wind-potential

display_name: mountain-wind-potential

topography

display_name: topography

wind-energy

display_name: wind-energy

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


weather-station-davos-wolfgang

maintainer: Jörg Wieder

title_for_slug: weather-station-davos-wolfgang

en: pressure temperature relative-humidity weather raclets

en: Weather Station Davos Wolfgang

media_type: text/csv

en: The data file contains date and time (YYYY-MM-DD hh:mm:ss) in UTC, temperature (°C), relative humidity (%), pressure (hPa) at 10 m above ground and above sea level. The data was averaged over 10 minutes.

en: The dataset contains weather parameters measured at Davos Wolfgang (LON: 9.853594, LAT: 46.835577).

pressure

display_name: pressure

raclets

display_name: raclets

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

weather

display_name: weather


en: antarctica blowing-snow eddy-covariance-measurements micro-rain-radar meteorological-data large-eddy-simulations mass-flux drifting-snow turbulence

en: Readme

media_type: TXT

en: Meta data

format: TXT

en: Measurement data from micro-meteorological station

media_type: zip-compressed folder of ASCII files

en: Automatic in-situ measurements of micro-meteorology and snow transport

en: Measurement data from snow particle counter at MRR site

media_type: zip-compressed folder of csv

en: Near-surface observations of drifting snow from a Snow Particle Counter (SPC) installed at the location of the Micro Rain Radar.

en: Simulation data for a situation with significant snow transport

en: Data from two LES-LSM simulations called Drift_1 and Drift_2, which reproduce the conditions observed at the S17 site on 11th January 2019, 00:40 to 00:50 UTC.

en: Measurement data from Micro Rain Radar (MRR)

media_type: NetCDF

en: Remote sensing data of blowing snow from a Micro Rain Radar (MRR).

en: Simulation data for a situation with negligible snow transport

en: Results from two LES-LSM simulations called NoDrift_1 and NoDrift_2, which reproduce the conditions observed at the S17 site on 12th January 2019, 05:40 to 05:50 UTC.

media_type: zip-compressed folder of text files (f90)

en: Source code of the large-eddy simulations coupled with a Lagrangian stochastic model (LES-LSM), available on GitLab.

en:
This dataset contains measurement and simulation data. The measurements characterize the standard meteorology, turbulence, and snow transport at the S17 site near Syowa Station in East Antarctica during an expedition in austral summer 2018/2019. Large-eddy simulations with sublimating particles provide additional insight into the latent and sensible heat exchange between snow and air in two example situations observed at the S17 site.

A part of the measurement data was recorded by an automatic measurement station from 10th January 2019 to 26th January 2019. This measurement station was equipped with standard meteorological sensors, a three-dimensional ultrasonic anemometer, an open-path infrared gas analyzer, a snow particle counter, an infrared radiometer for measurements of the surface temperature, and a sonic ranging sensor measuring changes in snow surface elevation.

At a horizontal distance of approximately 500 m, a Micro Rain Radar (MRR) was installed in a tilted configuration with an elevation angle of 7° for remote sensing of blowing snow between 25th December 2018 and 24th January 2019. In addition, near-surface in-situ measurements of snow transport were performed at the location of the MRR by deploying a snow particle counter from 27th December 2018 to 24th January 2019.

The simulations cover a 18 x 18 x 6 m³ domain and reproduce the steady-state conditions during a 10-min interval with significant snow transport and another 10-min interval with negligible snow transport. We provide the model source code and the post-processed simulation data, i.e., horizontally averaged quantities as a function of height and time.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

eddy-covariance-measurements

display_name: eddy-covariance-measurements

large-eddy-simulations

display_name: large-eddy-simulations

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

micro-rain-radar

display_name: micro-rain-radar

turbulence

display_name: turbulence

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: Meteorology and snow transport at S17 near Syowa, Antarctica, in austral summer 2018/2019


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

fr: oiseau-migrateur oiseau reserve faune

de: zugvogel vogel reservat fauna

en: migratory-bird bird reserve fauna

it: uccello-migratore uccelli riserva fauna

label: Cantonal Geoportal

label: geocat.ch permalink

spatial: Suisse

fr: Accès aux données (fr) : téléchargement et services web (Géoportail cantonal)

fr: Datenzugriff (de): Download und Webservices (Kantonales Geoportal)

fr: Réserves d'oiseaux d'eau et migrateurs

format: WMS

fr: Map (Preview) Visualisation des données

de: Map (Preview) Visualisierung der Daten

en: Map (Preview) Visualization of the data

it: Map (Preview) Visualizzazione dei dati

fr: Visualisation des données

de: Visualisierung der Daten

en: Visualization of the data

it: Visualizzazione dei dati

fr: Liste des réserves d'oiseaux d'eau et migrateurs d'importance internationale et nationale. Les critères quantitatifs et qualitatifs recommandés par la Conférence de Cagliari sont déterminants. Les objets cartographiés, qui sont répartis en six catégories de protection, ont été numérisés manuellement à partir de la carte nationale.

de: Mit der Änderung der Verordnung über die Wasser- und Zugvogelreservate auf den 1. August 2001 werden erheblich mehr Gebiete für überwinternde Wasser- und Zugvögel geschützt. Damit kann der Schutz von ziehenden und ganzjährig in der Schweiz lebenden Wasser- und Zugvögeln stark verbessert, die Störung der Vögel auf ein tragbares Mass reduziert und insgesamt ein Beitrag zur Erhaltung der Artenvielfalt geleistet werden. Die Revision umfasst ein neues Objekt sowie Änderungen bei den Reservaten von internationaler Bedeutung, sowie die Aufnahme 16 neuer Reservate von nationaler Bedeutung und Änderungen bei den bestehenden Objekten. Die Objekte (Schutzgebiete) sind in 6 Kategorien eingeteilt (5 Schutzkategorien z.B. Jagd und Schifffahrt verboten, bzw. teilweise erlaubt etc. und Wildschadenperimeter) Zweck Mit der Revision der Verordnung über die Wasser- und Zugvogelreservate werden weitere der von der Schweizerischen Vogelwarte Sempach ausgewiesenen einheimischen Wasservogelreservate unter Schutz gestellt.

fr: Geoinformation Canton Fribourg

de: Geoinformation Kanton Freiburg

en: Geoinformation Canton Fribourg

it: Geoinformazione Canton Friburgo

fr: Les géodonnées publiques du Canton Fribourg sont gérées par le Centre de compétence SIT du Service du cadastre et de la géomatique SCG et mises à disposition sous forme de services web et de téléchargement via le géoportail cantonal.

en: The public geodata of the Canton Fribourg are managed by the GIS Competence Center of the Office of Surveying and Geomatics (VGA) and made available via the cantonal geoportal as web services and for download.

de: Die öffentlichen Geodaten des Kantons Freiburg werden durch das GIS-Kompetenzzentrum des Amtes für Vermessung und Geomatik VGA verwaltet und über das kantonale Geoportal als Webservices und zum Download bereitgestellt.

it: I geodati pubblici del Canton Friburgo sono gestiti dal Centro di competenza GIS dell'Ufficio della Misurazione e della Geomatica (SCG) e messi a disposizione tramite il geoportale cantonale come servizi web e per il download.

political_level: canton

value: Fribourg-Kt - Geocat Harvester

fr: Inventaire fédéral des réserves d'oiseaux d'eau et migrateurs d'importance internationale et nationale (selon OROEM) (FR)


fr: plan-de-zones bruit-routier bruit-routier polluant-sonore impact-du-bruit bruit plan-doccupation-des-sols

de: zonenplan strassenverkehrslarm verkehrslarm larmbelastung larmimmission larm flachennutzungsplan

en: zoning-plan road-traffic-noise traffic-noise noise-pollutant noise-immission noise land-use-plan

it: piano-delle-zone rumore-del-traffico-stradale rumore-del-traffico inquinante-acustico immissione-di-rumore rumore piano-di-uso-del-suolo

label: Öffentliches Auskunftssystem des Kantons Basel-Stadt

spatial: Basel

de: Geodaten-Shop

de: Öffentlich zugänglicher Geodaten-Downloaddienst des Kantons Basel-Stadt

de: Lärmempfindlichkeitsstufenplan Basel

de: WMS BS

de: Die derzeit im WMS BS verfügbaren Datenebenen entsprechen, bis auf wenige Ausnahmen, den Geodaten, welche auch in MapBS dargestellt sind. Der WMS BS ist kostenlos nutzbar und bietet Zugriff auf öffentliche sowie beschränkt öffentliche Geodaten, wobei gegebenenfalls Benutzername und Passwort benötigt werden (Zugangsdaten von MapBS).

de: WFS BS

de: Die derzeit im WFS BS verfügbaren Datenebenen entsprechen, bis auf wenige Ausnahmen, den Geodaten, welche auch in MapBS dargestellt sind. Der WFS BS ist kostenlos nutzbar und bietet Zugriff auf öffentliche sowie beschränkt öffentliche Geodaten, wobei gegebenenfalls Benutzername und Passwort benötigt werden (Zugangsdaten von MapBS).

format: WFS

de: Lärmempfindlichkeitsstufenplan (LESP). Die Lärmempfindlichkeitsstufenpläne ordnen den entsprechenden Nutzungszonen die Lärmempfindlichkeitsstufe parzellenscharf zu.

kanton-basel-stadt

fr: Canton de Bâle-Ville

de: Kanton Basel-Stadt

en: Canton of Basel-City

it: Cantone di Basilea-Città

de: Der Kanton Basel-Stadt veröffentlicht nach und nach Open Government-Datensätze von kantonalen Ämtern und Dienststellen. Die kantonale Fachstelle für Open Government Data ist als Koordinationsorgan zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

value: BS - Geocat Harvester

de: Lärmempfindlichkeitsstufen (in Nutzungszonen) (Gemeinde Basel)


geography

de: Geographie

territory

de: Raum und Umwelt

fr: amenagement-du-territoire planification-de-lutilisation-du-sol degre-de-sensibilite-au-bruit plan-doccupation-des-sols plan-daffectation plan-daffectation

de: flachennutzungsplanung nutzungsplanung larmempfindlichkeitsstufe flachennutzungsplan bebauungsplan nutzungsplan

en: land-use-planning land-use-planning noise-sensitivity-level land-use-plan allocation-plan land-use-plan

spatial: Riehen

de: Lärmempfindlichkeitsstufenplan Riehen

de: Lärmempfindlichkeitsstufen (in Nutzungszonen) (Gemeinde Riehen)


teilrichtplan-energie

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

energy

fr: Energie

de: Energie

en: Energy

it: Energia

title_for_slug: teilrichtplan-energie

fr: energie plan-directeur

de: energie richtplan

en: energy structure-plan

it: energia piano-direttore

spatial: Kanton Basel-Stadt (BS)

de: Teilrichtplan Energie

de: Der Teilrichtplan Energie beinhaltet die räumliche Festlegung der geeigneten Energieträger für die Wärme- und Kälteversorgung im Kanton. Für das gesamte Siedlungsgebiet wird festgelegt, welche Energieträger zugunsten einer zukunftstauglichen Versorgung eingesetzt werden sollen.


geography

fr: Géographie

territory

fr: Territoire et environnement

fr: plan-de-zones bruit-routier bruit-routier plan-doccupation-des-sols polluant-sonore impact-du-bruit bruit

de: zonenplan strassenverkehrslarm verkehrslarm flachennutzungsplan larmbelastung larmimmission larm

en: zoning-plan road-traffic-noise traffic-noise land-use-plan noise-pollutant noise-immission noise

it: piano-delle-zone rumore-del-traffico-stradale rumore-del-traffico piano-di-uso-del-suolo inquinante-acustico immissione-di-rumore rumore

spatial: Bettingen

de: Geodaten-Shop

de: Öffentlich zugänglicher Geodaten-Downloaddienst des Kantons Basel-Stadt

de: WMS BS

de: Die derzeit im WMS BS verfügbaren Datenebenen entsprechen, bis auf wenige Ausnahmen, den Geodaten, welche auch in MapBS dargestellt sind. Der WMS BS ist kostenlos nutzbar und bietet Zugriff auf öffentliche sowie beschränkt öffentliche Geodaten, wobei gegebenenfalls Benutzername und Passwort benötigt werden (Zugangsdaten von MapBS).

de: Lärmempfindlichkeitsstufen (in Nutzungszonen) (Gemeinde Bettingen)


spatial: Schweiz

fr: Annuaire statistique de la Suisse 1921

de: Statistisches Jahrbuch der Schweiz 1921

media_type: application/pdf

media_type: text/html

mimetype: text/html

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

political_level: confederation

value: BFS – DCAT Harvester


de: Statistisches Jahrbuch der Schweiz 1927

fr: Annuaire statistique de la Suisse 1927


de: Statistisches Jahrbuch der Schweiz 1904

fr: Annuaire statistique de la Suisse 1904


fr: Annuaire statistique de la Suisse 1925

de: Statistisches Jahrbuch der Schweiz 1925


de: Statistisches Jahrbuch der Schweiz 1916

fr: Annuaire statistique de la Suisse 1916


fr: Annuaire statistique de la Suisse 1915

de: Statistisches Jahrbuch der Schweiz 1915


fr: Annuaire statistique de la Suisse 1922

de: Statistisches Jahrbuch der Schweiz 1922


de: Statistisches Jahrbuch der Schweiz 1936

fr: Annuaire statistique de la Suisse 1936


de: Statistisches Jahrbuch der Schweiz 1926

fr: Annuaire statistique de la Suisse 1926


fr: Annuaire statistique de la Suisse 1945

de: Statistisches Jahrbuch der Schweiz 1945


fr: Annuaire statistique de la Suisse 1959-60

de: Statistisches Jahrbuch der Schweiz 1959-60


fr: Annuaire statistique de la Suisse 1940

de: Statistisches Jahrbuch der Schweiz 1940


de: Statistisches Jahrbuch der Schweiz 1938

fr: Annuaire statistique de la Suisse 1938


fr: Annuaire statistique de la Suisse 1972

de: Statistisches Jahrbuch der Schweiz 1972


fr: Annuaire statistique de la Suisse 1971

de: Statistisches Jahrbuch der Schweiz 1971


fr: Annuaire statistique de la Suisse 1994

de: Statistisches Jahrbuch der Schweiz 1994

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


de: Statistisches Jahrbuch der Schweiz 2001

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs.

fr: Annuaire statistique de la Suisse 2001

fr: Ce fichier électronique ne comprend que les textes de l‘Annuaire.

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


de: Regionale und internationale Herkunft der Studierenden 1990-2018

fr: Origine régionale et internationale des étudiants, de 1990 à 2018

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza


de: Bildungsverläufe an den höheren Fachschulen - Ausgabe 2020

de: Diese Publikation entstand im Rahmen des Projekts «Längsschnittanalysen im Bildungsbereich» (LABB). Sie nutzt neue Möglichkeiten der Bildungsstatistiken und untersucht erstmals die Bildungslaufbahnen an höheren Fachschulen. Diese Analysen können dank der Modernisierung der Erhebungen im Bildungsbereich (MEB) und der Einführung eines Personenidentifikators in den Registern und Statistiken des BFS vorgenommen werden.

fr: Parcours de formation dans les écoles supérieures - Edition 2020

fr: La présente publication, rédigée dans le cadre du projet «Analyses longitudinales dans le domaine de la formation» (LABB), utilise les nouvelles potentialités des statistiques de la formation pour étudier pour la première fois le parcours de formation dans les écoles supérieures. De telles analyses ont été rendues possibles par la modernisation des relevés du domaine de la formation (MEB) et l’introduction d’un identificateur individuel dans les registres et les statistiques de l’OFS.


fr: Personnel soignant en 2018

de: Pflegepersonal 2018

gesundheit

display_name: gesundheit

health

display_name: health

salute

display_name: salute

sanadad

display_name: sanadad

sante

display_name: sante

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità


fr: Les résultats comptables des entreprises suisses

fr: Le présent fascicule contient, pour l’année 2018, les résultats comptables, ventilés par branches, de 8535 sociétés ayant répondu au questionnaire détaillé deux années consécutives. Ces entreprises, actives dans l’industrie, dans la construction, dans le commerce et dans les services, occupaient 1430221 personnes. On trouve dans cette publication, en plus d’agrégats comme le chiffre d’affaires, les charges de marchandises et de matériel, les charges de personnel et les autres charges d’exploitation, des variables par tête. Y figurent également un grand nombre de données structurelles et de ratios sur la structure du capital (degré de financement propre, degré d’autofinancement), sur les liquidités et sur la rentabilité.

de: Die vorliegende Publikation enthält für das Jahr 2018 auf Branchenstufe zusammengefasste betriebswirtschaftliche Ergebnisse von 8535 Unternehmen, die für beide Jahre den detaillierten Fragebogen ausgefüllt haben. Die Unternehmungen aus Industrie, Baugewerbe, Handel und dem Dienstleistungssektor beschäftigten 1430221 Personen. Nebst Grössen wie Umsatz, Warenaufwand, Aufwendungen für Personal und übriger Betriebsaufwand sind auch Pro-Kopf-Werte in den Ergebnissen zu finden. Abgeschlossen wird diese Publikation mit einer Vielzahl von Strukturdaten und Kennzahlen über Kapitalstruktur (z.B. Eigenfinanzierungsgrad, Selbstfinanzierungsgrad), Liquidität und Rentabilität.

industria-e-servetschs

display_name: industria-e-servetschs

industria-e-servizi

display_name: industria-e-servizi

industrie-et-services

display_name: industrie-et-services

industrie-und-dienstleistungen

display_name: industrie-und-dienstleistungen

industry-and-services

display_name: industry-and-services

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi


de: Rohholzbilanz

fr: Bilan du bois brut

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura


fr: Utilisateurs d'internet en Suisse

de: Internetnutzerinnen und -nutzer in der Schweiz

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport


de: Bilanz des stehenden Holzvorrates

fr: Bilan du stock de bois sur pied


fr: Évolution de la prise en charge médico-sociale des personnes âgées, 2010-2019

de: Sozialmedizinische Betreuung älterer Menschen, 2010-2019


fr: Coût du système de santé selon le fournisseur de biens et services et selon les prestations

de: Kosten des Gesundheitswesens nach Leistungserbringer und Leistungen

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


fr: Les comptes des branches du secteur primaire, branche sylviculture: séquence comptable selon l'optique des entreprises

de: Branchenkonten des Primärsektors, Branche Forstwirtschaft: Kontensequenz aus Perspektive der Unternehmen

de: Bundesamt für Statistik BFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.


fr: Taux de risque de pauvreté, selon différentes caractéristiques socio-professionnelles

de: Armutsgefährdungsquoten, nach verschiedenen sozioprofessionellen Merkmalen

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


de: Angenommene und verworfene Abstimmungsvorlagen, nach Typ

fr: Nombre d'objets de votation acceptés et rejetés, selon le type

politica

display_name: politica

politics

display_name: politics

politik

display_name: politik

politique

display_name: politique

politics

fr: Politique

de: Politik

en: Politics

it: Politica


fr: Aperçu général : Bâtiments selon le type de propriétaire

de: Allgemeine Übersicht : Gebäude nach Eigentümertyp

it: Prospetto sinottico: edifici secondo il tipo di proprietario

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione


fr: Médias imprimés: Ouvrages édités en Suisse et parus en librairie (titres) selon la langue

de: Printmedien: In der Schweiz herausgegebene und im Buchhandel erschienene Bücher (Titel) nach Sprachen


av-fixpunkte-reduziertes-datenmodell

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: av-fixpunkte-reduziertes-datenmodell

de: amtliche-vermessungav fixpunkte geodasie grundbuch

spatial: Kanton Luzern

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Daten der amtlichen Vermessung (MOpublic): Lage- und Höhenfixpunkte (national, kantonal, kommunal), mit reduziertem Datenmodell für Feldinstrumente.

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

value: LU-Kt - Geocat Harvester

de: AV Fixpunkte, reduziertes Datenmodell


fr: Recettes provenant des hôtes étrangers

de: Einnahmen aus dem Reiseverkehr ausländischer Gäste

tourism

display_name: tourism

tourisme

display_name: tourisme

tourismus

display_name: tourismus

turismo

display_name: turismo

turissem

display_name: turissem

tourism

fr: Tourisme

de: Tourismus

en: Tourism

it: Turismo

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS


de: baulinie eigentumsbeschrankungoreb fliessgewasser nutzungsplanung oberflachengewasser raumplanung strasse

de: Baulinien, die in einem grundeigentümerverbindlichen, öffentlich-rechtlichen Planwerk festgelegt wurden.

name: Dienststelle für Verkehr und Infrastruktur (vif)

de: Baulinien nach Strassen- und Baulinienplänen


fr: Aspects économiques des médias: Dépenses des ménages pour les médias

de: Medienökonomische Aspekte: Haushaltsausgaben für Massenmedien

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


geography

de: Geographie

territory

de: Raum und Umwelt

de: abfall altlasten betriebe boden eigentumsbeschrankungoreb risiken umweltbeobachtung umweltschutz wirtschaftliche-aktivitaten

de: Altlasten sind belastete Standorte, die wegen der Auswirkungen auf die Umwelt saniert werden müssen.

de: Kataster der belasteten Standorte (KbS)


de: Statistisches Jahrbuch der Schweiz 1920

fr: Annuaire statistique de la Suisse 1920

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.


maintainer: Bundesamt für Energie BFE

fr: Contenu des bassins d'accumulation, dimanche 24:00 heures, bulletin hebdomadaire

it: Grado di riempimento dei bacini di accumulazione, domenica alle ore 24, rapporto settimanale livello di accumulazione

author: Bundesamt für Energie BFE

media_type: SERVICE

fr:
Ce relevé, élaboré chaque dimanche à 24h00, recense le contenu (en GWh et en %) des bassins d'accumulation suisses dans 4 régions différentes.
Le taux de remplissage des bassins d'accumulation est relevé dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Der Füllungsgrad der Speicherseen, Sonntag 24h, Wochenbericht Speicherinhalt gibt Auskunft über den Speicherinhalt der Schweizer Speicherseen für vier Regionen in GWh und als Füllgrad in % jeweils am Sonntag 24h auf wöchentlicher Basis. Der Füllungsgrad der Speicherseen wird im Rahmen der Elektrizitätsstatistik erhoben, welche Teil der öffentlichen Statistik der Schweiz ist (gesetzliche Grundlage: BStatG).

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

energy

fr: Energie

de: Energie

en: Energy

it: Energia

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).


title_for_slug: Schweizerische Elektrizitätsstatistik: Schweizerische Elektrizitätsbilanz - Monatswerte

fr: ogd35-bfe electricite production importation exportation consommation

de: ogd35-bfe elektrizitat produktion import export verbrauch

en: ogd35-bfe electricity production import export

it: ogd35-bfe elettricita produzione importazione esportazione consumo

fr: Statistique suisse de l'électricité: bilan mensuel suisse de l'électricité

it: Statistica svizzera dell'elettricità: bilancio svizzero dell'elettricità - valori mensili

fr: Cette statistique recense sur une base mensuelle la production, l'importation, l'exportation et la consommation d'électricité en Suisse. Elle présente la production des centrales hydrauliques, des centrales nucléaires, des centrales thermiques classiques et renouvelables. Elle indique la consommation des installations de pompage d'accumulation et les pertes en ligne. Elle est établie dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Die Schweizerische Elektrizitätsbilanz - Monatswerte gibt Auskunft über Produktion, Import / Export und Verbrauch von Elektrizität in der Schweiz auf monatlicher Basis. Bei der Produktion werden Wasserkraftwerke, Kernkraftwerke, konventionell-thermische und erneuerbare Kraftwerke unterschieden. Der Verbrauch der Speicherpumpen und die Leitungsverluste werden ausgewiesen. Die monatliche Elektrizitätsbilanz wird im Rahmen der Elektrizitätsstatistik erstellt, welche Teil der öffentlichen Statistik der Schweiz ist (gesetzliche Grundlage: BStatG).

statistical-basis

en: Statistical basis


geography

fr: Géographie

territory

fr: Territoire et environnement

fr: bassin-versant precipitation-atmospherique eaux-geographie eaux-souterraines

de: gewassereinzugsgebiet niederschlag gewasser grundwasser

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: Le géoproduit 'Réseau cantonal de mesure hydrométrique' comprend les point de mesure cantonaux des eaux de surface, des eaux souterraines, des jauges de dotation pour les prélèvements d'eau et des mesures hydrométriques ponctuelles. Des points de mesure météorologique sont également prévus.

de: Das Geoprodukt 'kantonales hydrometrisches Messstellennetz' umfasst die kantonalen Messstellen der Oberflächengewässer, des Grundwassers, der Pegellatten für Dotierwassermengen bei Wasserentnahmen, sowie punktuell durchgeführte hydrometrische Messungen. Zusätzlich werden auch die meteorologischen Messstellen bereitgestellt.

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

value: Bern-Kt - Geocat Harvester

fr: Réseau cantonal de mesure hydrométrique


hinweis-auf-fruchtfolgeflachenqualitat

geography

de: Geographie

de: Raum und Umwelt

title_for_slug: hinweis-auf-fruchtfolgeflachenqualitat

spatial: Kanton Bern (erweitert)

fr: La carte des indications sur les sols présentant les qualités requises pour les surfaces d’assolement (SDA) vise à faciliter l’identification, basée sur une expertise, de parcelles susceptibles de compenser des SDA. D’après le recensement agricole, les surfaces figurant dans le présent jeu de données sont cultivées ou exploitées comme prairies artificielles, présentent une déclivité dépassant rarement les 18 % et se situent dans l’une des zones climatiques admises pour la délimitation des SDA. Toutefois, aucune information sur les sols n’est disponible pour ces surfaces, ou alors en quantité insuffisante. Le présent produit a donc valeur essentiellement informative. Des contrôles sur le terrain sont par conséquent nécessaires lorsqu’il faut déterminer si l’une de ces surfaces répond effectivement aux exigences posées par le plan sectoriel SDA du 8 mai 2020.

de: Die Hinweiskarte auf Böden mit Fruchtfolgequalität soll die Auffindung von Flächen im Hinblick auf eine «gutachterliche Fruchtfolgeflächen-Kompensation» erleichtern. Die im vorliegende Datensatz ausgewiesenen Flächen werden gemäss Agrardatenerhebung ackerbaulich oder als Kunstwiese genutzt, weisen eine Hangneigung von mehrheitlich weniger als 18% auf und liegen in den für die Ausscheidung von Fruchtfolgeflächen (FFF) zulässigen Klimazonen. Für die vorliegenden Flächen liegen aber keine oder nur ungenügende Bodeninformationen vor. Das Datenprodukt hat deshalb hauptsächlich orientierende Bedeutung. Ob eine dieser Flächen die Anforderungen für eine Fruchtfolgefläche gemäss Sachplan FFF vom 8. Mai 2020 tatsächlich aufweist, muss im Einzelfall durch Felduntersuchungen festgestellt werden.

name: Amt für Landwirtschaft und Natur - Strukturverbesserungen und Produktion / Fachstelle Boden

fr: Indications sur la qualité des surfaces d’assolement

de: Hinweis auf Fruchtfolgeflächenqualität


erdwarmesonden

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

title_for_slug: erdwarmesonden

spatial: Kanton Bern

fr: La réalisation de sondes géothermiques est soumise à autorisation. Les autorisa-tions sont octroyées par l'Office des eaux et des déchets du canton de Berne (OED). L'admissibilité des installations à sondes géothermiques dépend des conditions géologiques et hydrogéologiques du sous-sol. La carte tient compte des exigences nécessaires pour l'obtention d'une autorisation. Ne sont toutefois pas pris en considération les ouvrages souterrains et les conduites. La représentation est telle que chaque propriétaire foncier peut se renseigner si l'obtention d'une autorisation est possible ou non, s'il existe des restrictions en profondeur ou si des inves-tigations supplémentaires sont nécessaires.

de: Das Erstellen von Erdwärmesonden ist bewilligungspflichtig. Die Erteilung von Bewilligungen obliegt dem Amt für Wasser und Abfall des Kantons Bern (AWA). Die Zulässigkeit von Erdwärmesondenanlagen richtet sich nach den geologischen und hydrogeologischen Verhältnissen im Untergrund. Die Karte berücksichtigt die Einflussfaktoren, welche für die Bewilligung von Erdwärmesonden erforderlich sind. Nicht berücksichtigt werden Bereiche von Untertagebauten und Leitungen. Die Darstellung erfolgt so, dass für jeden Grundeigentümer ersichtlich ist, ob eine Erdwärmesonde bewilligt werden kann oder nicht, ob eine Tiefenbeschränkung besteht oder ob allenfalls genauere Abklärungen notwendig sind.

fr: Sondes géothermiques

de: Erdwärmesonden


videouberwachung-im-offentlichen-raum

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

title_for_slug: videouberwachung-im-offentlichen-raum

fr: police station-de-reference-de-surveillance surveillance-dinstallations video

de: polizei grunduberwachung anlagenuberwachung video

spatial: Kanton Bern (reduziert)

fr: Une vidéosurveillance de l'espace public et pour la protection de bâtiments publics nécessite l'accord préalable de la police cantonale. L'emplacement précis des appareils de vidéosurveillance autorisés dans les lieux publics et pour la protection de bâtiments publics fait l'objet d'un enregistrement. Les données comportent des informations quant à l'adresse exacte, au service compétent et au bâtiment.

de: Eine Videoüberwachung im öffentlichen Raum und zum Schutz öffentlicher Gebäude bedarf der vorgängigen Zustimmung der Kantonspolizei. Die bewilligten Videoüberwachungsgeräte an öffentlichen Orten und zum Schutz öffentlicher Gebäude sind gebäude- bzw. anlagegenau erfasst. Die Daten beinhalten Informationen zur genauen Adresse sowie verantwortliche Stelle und Gebäude.

fr: Vidéosurveillance dans le secteur public

de: Videoüberwachung im öffentlichen Raum


fr: societe-de-distribution-deau etablissement-humain reseau-routier transport-prive collecte-des-dechets habitation animal-sauvage alimentation-en-eau infrastructure-routiere zone-de-protection-du-paysage concentration-de-peuplement industrie-de-traitement-des-dechets production-denergie lac parc-naturel-regional peche-a-la-ligne zone-de-developpement zone-de-montagne migration-pendulaire cascade sentier-de-randonnee zone-constructible besoin remise-en-culture paysage transport-de-voyageurs planification-et-developpement-urbain espace-de-loisirs zone-construite registre-foncier eau-usee decomposition planification-de-lespace-physique degradation-des-ressources-naturelles planification-politique agriculture droit-de-propriete parc-naturel commune trafic planification-regionale eaux-geographie zonage transport-en-commun energie centrale-hydroelectrique epuration-des-eaux-usees energie-eolienne promotion-du-commerce-et-de-lindustrie cadastre incineration-des-dechets amenagement-du-territoire construction-hydraulique amenagement-du-territoire eaux-interieures projet tourisme developpement-durable rotation-des-cultures temps-libre transport-maritime planification itineraire matiere-premiere

de: wasserwerk siedlung strassennetz individualverkehr abfallsammlung wohnung wildtier wasserversorgung verkehrsinfrastruktur landschaftsschutzgebiet siedlungsverdichtung abfallbeseitigungsunternehmen energiegewinnung see regionaler-naturpark angeln entwicklungsgebiet bergland pendelverkehr wasserfall wanderweg bauland bedarf rekultivierung landschaft personenverkehr stadtplanung-und--entwicklung erholungsgebiet baugebiet grundbuch abwasser abbau raumplanung abbau-von-naturlichen-ressourcen politikplanung landwirtschaft eigentumsordnung naturpark gemeinde verkehr regionalplanung gewasser zoneneinteilung offentlicher-verkehr energie wasserkraftwerk abwasserreinigung windenergie wirtschaftsforderung kataster abfallverbrennung flachennutzungsplanung wasserbau raumordnung-und--planung binnengewasser projekt fremdenverkehr nachhaltige-entwicklung fruchtfolge freizeit seeverkehr planung fahrweg-streckenfuhrung rohstoff

fr: Service d'image

de: Darstellungsdienst

fr: Le service représente les données de base du canton de Berne selon la géocatégorie E conforme à eCH-0166. Il comprend l'aperçu du cadastre des conduites, la carte synoptique des zones 1:25'000, le développement durable dans les communes, les espaces réservés aux eaux approuvés, l'état actuel de la mensuration officielle, le plan cantonal d'aménagement des eaux, le plan sectoriel de la navigation de plaisance, le plan sectoriel itinéraires de randonnée pédestre (y.c. informations complémentaires), le plan sectoriel pour le trafic cycliste (y.c. informations complémentaires), le projet cantonal d'aménagement du paysage, la protection des rives et des rivières selon la LRLR, les surfaces d'assolement du canton de Berne, les surfaces des terres cultivables, le système de gestion des zones d'activités, les territoires à habitat dispersé, les thèmes régionaux relatifs à l'urbanisation et au paysage ainsi que l'urbanisation interne. Les plans directeurs des éléments d'énergie, des éléments parcs naturels, des éléments urbanisation, des éléments d'approvisionnement et élimination, des éléments de transport, des éléments de la faune et des mesures régionales sont également inclus.

de: Der Dienst stellt Geobasisdatensätze des Kantons Bern der Geokategorie E gemäss eCH-0166 dar. Er enthält die Datensätze Arbeitszonenbewirtschaftung, Fruchtfolgeflächen, genehmigte Gewässerräume, Grundeigentumskategorien, kantonales Landschaftsentwicklungskonzept, kantonaler Wasserbauplan, Kulturlandflächen, nachhaltige Entwicklung in den Gemeinden, regionale Siedlungs- und Landschaftsthemen, Sachplan Seeverkehr, Sachplankarte Veloverkehr und Wanderroutennetz (inkl. informativer Inhalte), See- und Flussuferschutz gemäss SFG, Siedlungsentwicklung nach Innen, Stand der amtlichen Vermessung, Streusiedlungsgebiete, Übersicht Leitungskataster und Übersichtszonenplan 1:25'000. Ausserdem enthalten sind die kantonalen Richtpläne Elemente Energie, Elemente Naturpärke, Elemente Siedlung, Elemente Ver- und Entsorgung, Elemente Verkehr, Elemente Wildtiere sowie regionale Massnahmen.

fr: Développement territorial et cadastre foncier du canton de Berne

de: Raumplanung und Grundstückskataster des Kantons Bern