cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.357
title: Deadwood Generator

description: The here presented code generates discrete three-dimensional, RAMMS::ROCKFALL readable deadwood log files (.pts-format) of windtrown forests, including the pilling effect due to slightly different throw directions.
description: Resource Title: Authomatic Deadwood Generator (ADG)
 Size: 4444888 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/adg.zip
 Description: Complete ADG, including the calling script explaining the parameters to use, a sample DEM and a corresponding sample tree file, and sample outputs. All files are zipped together. Input DEM needs to be a .TIF file while the script uses python 3 and has several dependencies to the rasterio-python package (https://rasterio.readthedocs.io/en/latest/).
description: Resource Title: Ortho_Kloental_Jan2020_4cm
 Size: 3673063223 bytes
 Format: .tif
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/ortho_kloental_20200124_4cm.tif
 Description: The used Orthophoto with a 4 cm resolution, based on the flight survey with the eBee-UAV from the 24 Jan. 2020.
description: Resource Title: GIS_Files_ADG
 Size: 160664 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/gis_files_adg.zip
 Description: Zipped Folder containing the shape files (.shp) of the mapped trees, their bases, the control area and the used rock release areas for both windthrow areas W1 and W2.
description: Resource Title: Ortho_Kloental_Nov2020_4cm
 Size: 16846203717 bytes
 Format: .tif
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/ortho_kloental_20201125_4cm.tif
 Description:
DOI: 10.16904/envidat.162
title: Distributed sub-canopy datasets from mobile multi-sensor platforms (CH / FIN, 2018-2019) for hyper-resolution forest snow model evaluation

description: This dataset contains datasets of sub-canopy meteorological variables acquired in coniferous forest stands in Switzerland (Davos, Engadine) and Finland (Sodankylä) during the winters 2018 and 2019. The data are presented and used in the publication: 
Mazzotti, G., Essery, R., Webster, C., Malle, J., & Jonas T. (2020)
Process-level evaluation of a high-resolution forest snow model using observations from mobile multi-sensor platforms 
Water Resources Research, under review
The above publication must be cited when using this dataset, and the user is referred to the publication for additional detail. 
Data are grouped into 4 folders: 
1) Point data includes wind speed data measured with stationary meteorological stations
2) Transect data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired with an automated calblecar system along within-stand transects
3) Grid data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired on 40x40m gridded plots using a handheld instrument, as well as snow depth data measured at the same grids. 
Canopy structure information derived from hemispherical images is included for each all surveyed locations as well, and an overview of the field sites is provided.
description: Resource Title: Site overview
 Size: 203756 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/b6151bb0-2568-4ae8-b91a-7e2d572e01b9/download/field_sites_overview.jpg
 Description: Overview of field sites
description: Resource Title: Grid data
 Size: 11193263 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/a5d954ef-a693-4e43-8e66-75ed21178a92/download/grid_data.zip
 Description: Canopy structure and snow depth data at the grids
description: Resource Title: Transect data
 Size: 1360922505 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/f2dc7eef-dc3c-46f5-99ca-9c12ac154175/download/transect_data.zip
 Description: All meteorological and canopy structure data acquired at cable car transects
description: Resource Title: Point data
 Size: 195016 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/05210541-6b04-487b-bf39-8817d31d5106/download/point_data.zip
 Description: Wind speed data acquired with the portable meteorological stations
DOI: 10.16904/envidat.355
title: Mean insect occupancy 1970–2020

description: This dataset contains all data, on which the following publication below is based.
**Paper Citation**:
Neff, F., Korner-Nievergelt, F., Rey, E., Albrecht, M., Bollmann, K., Cahenzli, F., Chittaro, Y., Gossner, M. M., Martínez-Núñez, C., Meier, E. S., Monnerat, C., Moretti, M., Roth, T., Herzog, F., Knop, E. 2022. Different roles of concurring climate and regional land-use changes in past 40 years' insect trends. Nature Communications, DOI: [10.1038/s41467-022-35223-3](https://doi.org/10.1038/s41467-022-35223-3)
Please cite this paper together with the citation for the datafile. Please also refer to this publication for details on the methods.
 Summary
Mean annual occupancy estimates for 390 insect species (215 butterflies [Papilionoidea, incl. Zygaenidae moths], 103 grasshoppers [Orthoptera], 72 dragonflies [Odonata]) for nine bioclimatic zones in Switzerland. Covers the years 1970-2020 (for butterflies) and 1980-2020 (for grasshoppers and dragonflies). Mean occupancy denotes the average number of 1 km x 1 km squares in a zone occupied by the focal species. Occupancy estimates stem from occupancy-detection models run with species records data hosted and curated by [info fauna](http://www.infofauna.ch). Data on the level of single MCMC iterations of model fitting are included (4000 sampling iterations). The nine bioclimatic zones were defined based on biogeographic regions and two elevation classes (square above or below 1000 m. asl)
description: Resource Title: Mean annual occupancy estimates
 Size: 8113527190 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3dce8afa-5a75-4cf5-8933-9c88308aa8f9/resource/28143138-04ae-4a29-bc89-466c68fa084f/download/occ_means.csv
 Description: This file contains mean annual occupancy for all 390 species, study years (1970/1980-2020) and study regions (9 bioclimatic zones) as estimated from occupancy-detection models (MCMC: 4 chains, 1000 warmup each, 1000 sampling each). Each row corresponds to a unique combination of species, year and zone. The following columns are included:

- **species**: Species name used in analyses

- **year**: Year of the observation

- **biogeo_elevation**: Bioclimatic zone of the observation, which is a combination of 5 biogeographic regions (Jura, Plateau, Nothern Alps, Central Alps, Southern Alps) and 2 elevational classes (high: above 1000 m. asl, low: below 1000 m. asl)

- **n_squares**: Number of 1 km x 1 km squares of the respective zone, which were included in the analyses

- **occ_m\_i[....]**: Mean annual occupancy estimates. Each column corresponds to one iteration of the MCMC sampling (4000 columns in total).
DOI: 10.15468/dl.kz7uwt
title: Occurrence Download

description: A dataset containing 339263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pilosella officinarum"
 ]
}

 The dataset includes 339263 records from 1259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027989-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.245
title: Hydraulic resistance of pores in porous media using DNS of laminar flow

description: Included are three direct numerical simulations results of Stokes flow in three heterogeneous porous media obtained with OpenFoam simulations. In addition we include three data files that contain point-based extracted pores based on the post-processing as reported in the submitted paper "Local hydraulic resistance in heterogeneous porous media" in GRL.
description: Resource Title: Results postprocessing 
 Size: 9410122 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/dffdd55f-2faf-48f5-b512-54667b812196/download/results_pm123.zip
 Description: The results of the pore identification and integration. The results are stored as follows. Each individual iso-pressure patch (first two columns) has an identification number Np. There is more information stored than needed, such as which patches are neighbors, and what there positions are, however to assess the local hydraulic resistance you need the integrated pore identification number stored under 'tracks'. All patches belonging to the same pore have the same track number. We stored the local pressure value under 'p_i', integrated flux Q under 'Q_i', total surface area A under 'A_i' and distance dx under 'dx_int', circularity C under 'phi_i'. There are attributes stored with other identifiers such as _p and _l, they refer to the two closest neighboring patches at iso-pressure values p_i+dp and p_i-dp respectively. To obtain the exact results this data has to be preprocessed such as described in the supplementary materials of the paper.
description: Resource Title: Porous Media 1 
 Size: 2133521698 bytes
 Format: .vtk
 URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/d73518e6-e77a-49b9-b9f5-f0ff7f2b68d2/download/porousmedia1.vtk
 Description: Direct numerical simulations to obtain local pressure and velocity field.
description: Resource Title: Porous Media 2
 Size: 1981993868 bytes
 Format: .vtk
 URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/a497def0-27b4-4517-9f80-fed465177d30/download/porousmedia2.vtk
 Description: Direct numerical simulations to obtain local pressure and velocity field.
description: Resource Title: Porous Media 3
 Size: 987993407 bytes
 Format: .vtk
 URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/0556e308-a93f-421a-b18e-29d4f2f8440f/download/porousmedia3.vtk
 Description: Direct numerical simulations to obtain local pressure and velocity field.
DOI: 10.16904/envidat.664
title: Vegetation Height Model LiDAR NFI

description: Countrywide **vegetation height models (VHM)** were generated for Switzerland based on
LiDAR data acquired in the framework of the **swissSURFACE3D** campaign (swisstopo). 
To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground.
These VHM's are produced in the framework of the Swiss National forest Inventory (NFI). 
Each year about 1/6 of switzerland surface is updated using swissSURFACE3D data in leaf-off state.
description: Resource Title: 2024 Vegetation Height Model LiDAR NFI (current)
 Size: 138405321114 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2024%2F
 Description: Vegetation Height Model of Switzerland for the year 2024 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).
DOI: 10.16904/envidat.528
title: Historical Vegetation Height Model NFI

description: The main datasets available are 4 nationwide **Digital Surface Models (DSMs)** and corresponding **Vegetation Height Models (VHMs)** with a spatial resolution of 1 m.
The Vegetation Height Models are calculated by subtraction of a Digital Terrain Model (swissAlti3d version 2017, swisstopo) from the generated DSMs. DSMs were derived by image matching of **scanned historical images** (panchromatic 8-bit) acquired with a RC10 frame camera, in the context of the swisswide image acquisition campaigns of swisstopo.
Nationwide products could be generated for the **four epochs** 
 1979-1985 / 1985-1991 / 1990-1998 / 1998-2006.
Additional information about successful image matching vs. interpolation of pixels and about the year of image acquisition are available in the corresponding files (**matched_area_xxxx_xxxx_binay.tif** and **meta_acquisition_year_xxxx_xxxx.json**, respectively).
To separate vegetation from non-vegetation areas a mask derived from a combination of information of the Topographic landscape model - TLM (swisstopo) and a NDVI layer was used and is supplied as **"TLM_mask.tif"**
Due to the occurrence of unrealistic vegetation height values caused by the failure of the image matching process (mainly overexposed images and clouds or very steep rocky terrain), pixel values - 60 m were set to NoData and - 0 m to 0. 
All datasets are available in the Reference System **LV95 (EPSG: 2056) LN02 (EPSG: 5728)** and share the common **extent definition** (xmin ymin xmax ymax): 2480000 1070000 2840000 1300000
description: Resource Title: 1979-1985 Vegetation Height Model 
 Size: 219902325555 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1979-1985_vegetation_height_model_nfi%2F
 Description:
description: Resource Title: 1985-1991 Vegetation Height Model 
 Size: 219902325555 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1985-1991_vegetation_height_model_nfi%2F
 Description:
description: Resource Title: 1990-1998 Vegetation Height Model 
 Size: 219902325555 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1990-1998_vegetation_height_model_nfi%2F
 Description:
description: Resource Title: 1998-2006 Vegetation Height Model 
 Size: 219902325555 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1998-2006_vegetation_height_model_nfi%2F
 Description:
description: Resource Title: readme.txt
 Size: 2045 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/d16d27e5-b239-4909-b914-1b0b5337dab3/resource/f6cabeaa-bf7c-4141-bea9-af99d3224487/download/readme.txt
 Description: Description of available data
DOI: 10.16904/envidat.391
title: Photogrammetric Drone Data and derived Ground Classification Wolfgang Arelen

description: We conducted two drone flights with the Wingtra and DJI Phantom 4 RTK drones in Davos Wolfgang Arelen, on 25.08.2021. The data was processed with the Agisoft Metashape Professional Software.The Wingtra point cloud was further processed to derive a ground classification in individual LASTools and Terrasolid workflows.
description: Resource Title: Geodata and Ground Classification Wolfgang Arelen 
 Size: NaN
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.391/Geodata_GroundClassification_Arelen.zip
 Description: Original RGB images and generated products.
DOI: 10.16904/envidat.660
title: ALAN Spongy Moth Laboratory Experiment

description: Data and Code for ALAN Spongy Moth lab experiment
In this repository you will find all the raw datasets used for the data analysis performed in our paper about the impacts of artificial light at night (ALAN) on the development of Spongy Moth caterpillars. The files are attached as a csv file.
Also attached is all the R-code later used for the statistical analysis and for generating the graphics displayed in the paper. This files are attached as an R.file.
description: Resource Title: SM_R_long_NvK.csv
 Size: 567035 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/401242a6-4430-4725-8c41-263a4f769041/download/sm_r_long_nvk.csv
 Description: Raw data modified and used for the Bodymass Analysis
description: Resource Title: SM_R_NvK.csv
 Size: 56547 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/c93124fd-448c-403b-bc42-70f4b6722636/download/sm_r_nvk.csv
 Description: Raw data used for the Pupation and Cox Hazard/Kaplan Meier Analysis.
description: Resource Title: BodyMass_analysis.R
 Size: 4254 bytes
 Format: application/octet-stream
 URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0ff15832-2eb3-4420-9afd-869e36ce92ef/download/bodymass_analysis.r
 Description: R code for the bodymass analysis and producing the graphics.
description: Resource Title: Pupation_analysis.R
 Size: 7606 bytes
 Format: application/octet-stream
 URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/f5ad6fb7-b540-4742-8b77-e5fa86855b1d/download/pupation_analysis.r
 Description: R code for the pupation analysis and producing the graphics.
description: Resource Title: CoxHazard_KaplanMeier_Mort_Pup.R
 Size: 3933 bytes
 Format: application/octet-stream
 URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0a205353-8812-4f39-af3f-8d67d2d1495c/download/coxhazard_kaplanmeier_mort_pup.r
 Description: R code for the Cox hazard analysis and producing the Kaplan Meier survival curves for both Mortality and Pupation.
DOI: 10.15468/dl.7r4uba
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((97.15335 5.34285,139.3347 15.65175,152.95379 49.51031,97.72083 41.84958,80.22408 27.00099,97.15335 5.34285))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scutellaria barbata"
 ]
}

 The dataset includes 916 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028802-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5545b
title: Occurrence Download

description: A dataset containing 40452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GbifRegion is Latin America and the Caribbean",
 "IucnRedListCategory is DD",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 40452 records from 590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028801-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6byr7
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus clarki Schmidt, 1936"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xj59y
title: Occurrence Download

description: A dataset containing 15610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((138.34944 36.52672,138.34609 36.5249,138.34931 36.52053,138.34813 36.51994,138.34964 36.51757,138.35453 36.51913,138.35666 36.52144,138.35594 36.52195,138.35385 36.52105,138.35306 36.52203,138.34944 36.52672))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15610 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011028-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfgssb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe pinnata",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085481-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hydj8
title: Occurrence Download

description: A dataset containing 2323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98 25,101.5 25,101.5 29.5,98 29.5,98 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1950-2025"
 ]
}

 The dataset includes 2323 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085480-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuz6gj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icterus gularis (Wagler, 1829)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010850-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwjha2
title: Occurrence Download

description: A dataset containing 1103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plumeria obtusa L.",
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Material citation)"
 ]
}

 The dataset includes 1103 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010849-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn6t8k
title: Occurrence Download

description: A dataset containing 45698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2015-2025"
 ]
}

 The dataset includes 45698 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002327-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5wdtd
title: Occurrence Download

description: A dataset containing 32476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyphantria cunea (Drury, 1773)"
 ]
}

 The dataset includes 32476 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002325-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.