cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.20240819
title: Raw data collected during GINA 2019 by Seaglider SG574

description: Raw data collected during GINA 2019 by Seaglider SG574
description: The Gliders in the Agulhas (GINA) project is a multi-institutional effort to implement sustained glider observations around South Africa’s coastline to enhance existing regional networks and complement larger international observations systems such as the Ocean Gliders Boundary Ocean Observing Network (BOON). This dataset includes all data collected by Seaglider SG573 during the first GINA deployment in 2018. The Seaglider was set-up to vertically profile the water column between depths of 0 and 1000m. Measurements collected included conductivity (salinity), temperature, depth (CTD), dissolved oxygen, chlorophyll-a fluorescence (proxy for phytoplankton concentration), Photosynthetically Active Radiation (PAR) and two wavelengths of optical back-scattering by particles, Bb(470) and Bb(700) (proxies for particle concentration). In addition, information collected from the Seaglider was used to derive surface and depth averaged currents. This is raw data collected during GINA 2019 by Seaglider SG574.
description: Raw data in their original format, as received from the instrument and unprocessed.
DOI: 10.15468/dl.kg4tdn
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 22.79913, -106.6188 22.79913, -106.6188 22.94913, -106.7688 22.94913, -106.7688 22.79913))"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034281-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xvrfm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Datnioides microlepis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034282-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17613421
title: Tanana River water-level and sediment data, 2022-2023

description: This package includes water-level and sediment data collected as part of the SILT project (Sediment, Ice, and Learning on the Tanana). This project was funded by NSF grants GLD 2153778 and 2153779. The dataset was collected by Dr. Emily Eidam (OSU and UNC-Chapel Hill), Dr. Tamlin Pavelsky (UNC-Chapel Hill), Dr. Julianne Davis (UNC-Chapel Hill), Dr. Ted Langhorst (UNC-Chapel Hill and UMass-Amherst), Dr. Chris Arp (UAF), Allen Bondurant (UAF), Dr. Sarah Clement (UAF), Dr. Katie Spellman (UAF), Lillian Cooper (UNC-Chapel Hill), and several volunteers.

These data accompany a draft publication entitled "Year-round suspended-sediment measurements and sediment flux estimates using low-cost, open-source sensors in a subarctic river (Tanana River, Alaska)" by Eidam et al.

The files include one Excel file of water-column profiles of mean particle diameter, volume concentration, and total suspended solids concentration collected at six sites (in three general locations) along the Tanana River in October 2022. 

The remaining files include text files of water levels and turbidities - and in some cases total suspended solids - from several mooring sites that the team designed, built, and deployed. Dates are in Matlab serial date format (days since Jan 1, 1900). Turbidities are in nephelometric turbidity units. Total suspended solids (TSS) values are in miligrams per liter. Water levels are in meters. Water levels were converted from pressure measurements by subtracting atmospheric pressure.

One file contains median particle diameters predicted by an equation given in Burrows et al., 1979 (Burrows, R. L., Parks, B., & Emmett, W. W. (1979). Sediment transport in the Tanana River in the vicinity of Fairbanks, Alaska, 1977-78 (Tech. Rep.). US Geological Survey.)
DOI: 10.5281/zenodo.17613420
title: Tanana River water-level and sediment data, 2022-2023

description: This package includes water-level and sediment data collected as part of the SILT project (Sediment, Ice, and Learning on the Tanana). This project was funded by NSF grants GLD 2153778 and 2153779. The dataset was collected by Dr. Emily Eidam (OSU and UNC-Chapel Hill), Dr. Tamlin Pavelsky (UNC-Chapel Hill), Dr. Julianne Davis (UNC-Chapel Hill), Dr. Ted Langhorst (UNC-Chapel Hill and UMass-Amherst), Dr. Chris Arp (UAF), Allen Bondurant (UAF), Dr. Sarah Clement (UAF), Dr. Katie Spellman (UAF), Lillian Cooper (UNC-Chapel Hill), and several volunteers.

These data accompany a draft publication entitled "Year-round suspended-sediment measurements and sediment flux estimates using low-cost, open-source sensors in a subarctic river (Tanana River, Alaska)" by Eidam et al.

The files include one Excel file of water-column profiles of mean particle diameter, volume concentration, and total suspended solids concentration collected at six sites (in three general locations) along the Tanana River in October 2022. 

The remaining files include text files of water levels and turbidities - and in some cases total suspended solids - from several mooring sites that the team designed, built, and deployed. Dates are in Matlab serial date format (days since Jan 1, 1900). Turbidities are in nephelometric turbidity units. Total suspended solids (TSS) values are in miligrams per liter. Water levels are in meters. Water levels were converted from pressure measurements by subtracting atmospheric pressure.

One file contains median particle diameters predicted by an equation given in Burrows et al., 1979 (Burrows, R. L., Parks, B., & Emmett, W. W. (1979). Sediment transport in the Tanana River in the vicinity of Fairbanks, Alaska, 1977-78 (Tech. Rep.). US Geological Survey.)
DOI: 10.5281/zenodo.14168985
title: Dataset for Deliverable D6.1 "Multicriteria evaluation system for EOMs use"
DOI: 10.5281/zenodo.15403341
title: High-Resolution Maps (10 m) of Cropland Soil Organic Carbon and Clay in Germany based on Sentinel-2 Data

description: This dataset contains predictions and uncertainty maps of the cropland soil organic carbon and clay, derived at a 10 m resolution for Germany. The following soil properties were mapped using topsoil samples (0 – 30 cm) from the German Agricultural Soil Inventory (BZE-LW) (Poeplau et al. 2020):



Soil organic carbon stock (Mg ha-1)

Soil organic carbon content (g kg-1)

Clay content (mass%)


Support vector machines were trained based on a 10 m Sentinel-2 Bare Soil Composite, using the methods described in Broeg et al. (2025, PREPRINT). Uncertainty maps were derived based on the 95 % prediction intervals (standard deviation × 1.96) of the cross-validation models.

The map extent covers all areas in Germany that are defined as agricultural land, according to ATKIS Basis-DLM (Geobasisdaten: © GeoBasis-DE / BKG, 2025). 

Raster maps are provided as Cloud Optimized GeoTIFF (COG).

References

BKG, Bundesamt für Kartographie und Geodäsie (2025). Digitales Basis-Landschaftsmodell.https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/basis-dlm.pdf (last accessed: 15. May 2025).

Broeg, T., Don, A., Scholten, T., Erasmi, S. (2025). Reducing Bias in Cropland Soil Organic Carbon and Clay Predictions using Sentinel-2 Composites and Data Balancing. https://doi.org/10.31223/X50M91

Poeplau, C., Jacobs, A., Don, A., Vos, C., Schneider, F., Wittnebel, M., Tiemeyer, B., Heidkamp, A., Prietz, R., & Flessa, H. (2020). Stocks of organic carbon in German agricultural soils—Key results of the first comprehensive inventory. Journal of Plant Nutrition and Soil Science, 183(6), 665–681. https://doi.org/10.1002/jpln.202000113
DOI: 10.15468/dl.2n829p
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 22.79913, -106.4688 22.79913, -106.4688 22.94913, -106.6188 22.94913, -106.6188 22.79913))"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034284-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6ud39
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dawkinsia filamentosa",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034285-251025141854904/datasets/export for details.
DOI: 10.16904/envidat.418
title: Snow depth mapping by airplane photogrammetry (2017 - ongoing)

description: The available datasets are snow depth maps with a spatial resolution of 0.5 m derived from images of the survey camera Vexcel Ultracam mounted on a piloted airplane. Image acquisition was carried out during the approximately peak of winter (time when the thickest snowpack is expected) in spring. The snow depth maps are calculated by the subtraction of a summer-DTM from the processed winter- DSM of the corresponding date. The summer-DTM used was derived from a point cloud of an airborne laser scanner from 2020. 
Due to the occurrence of inaccuracies of the calculated snow depth values caused by the photogrammetric method, we applied different masks to significantly increase the reliability of the snow depth maps. We masked out settled areas, high-frequented streets and technical constructions, pixels with high vegetation (height - 0.5 m) , outliers and unrealistic snow depth values. In addition, we modified the snow depth values of snow-free pixels to 0. 
The information on buildings and infrastructure comes from the exactly classified ALS point cloud and the TLM dataset from Swisstopo (https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.htmllinks). High vegetation is also derived from the classification and the calculated object height from the point cloud. 
Outliers and unrealistic snow depth values are defined as negative snow depth values and snow depths exceeding 10 m. The classification of each pixel of the corresponding orthophoto into snow-covered or snow-free is based on the application of a threshold of the NDSI or manually determined ratios of the RGB values.
An extensive accuracy assessment proves the high accuracy of the snow depth maps with a root mean square error of 0.25 m for the year 2017 and 0.15 m for the following snow depth maps. 
The work is published in:
description: Resource Title: Snowdepth maps
 Size: 21474836480 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.418%2F
 Description:
DOI: 10.16904/envidat.630
title: Illgraben debris-flow characteristics 2023

description: List of key debris flow variables from the WSL Illgraben monitoring station (2023) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density.
This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future.
description: Resource Title: Illgraben debris-flow characteristics 2023
 Size: 786 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/d24373f7-566f-441f-be64-6dbd8d0cc7e4/resource/8483e966-c20d-4403-93ed-26cc8fbf1d4d/download/df_characteristics_illgraben_2023.csv
 Description: List of key debris flow variables from the WSL Illgraben monitoring station (2023)
description: Resource Title: Readme.txt
 Size: 1523 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/d24373f7-566f-441f-be64-6dbd8d0cc7e4/resource/ea1a8f18-6989-493b-ac4d-72b60966f112/download/readme.txt
 Description:
DOI: 10.16904/envidat.571
title: Soil measurements of Seewer Berg and Davos

description: The dataset contains measured values of soil liquid water content, matric potential, and soil texture of 40 soil samples in Davos, Switzerland. The measurements were used for determining van Genuchten parameter values through fitting of water retention curves, pedotransfer functions, and inverse fitting with Hydrus-1D.
description: Resource Title: README.txt
 Size: 1599 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/ffffb46c-fc15-49a7-b179-e20ff120fb48/download/readme.txt
 Description: Detailed information of each file in the dataset
description: Resource Title: coordinates.csv
 Size: 1222 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/7494a93b-068b-4d87-8f33-a16d197d27bf/download/coordinates.csv
 Description: Coordinates of each soil location, location of the snow profiles, and location of the snow liquid water content measurements
description: Resource Title: swb_hydrus_files.zip
 Size: 2906045 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/d7ce01fb-cce5-45ea-85ec-44a25ac49a77/download/swb_hydrus_files.zip
 Description: Hydrus files used for the inverse fitting
description: Resource Title: swb_px_direct_fitting.csv
 Size: 7529 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/d4114528-bd8a-4335-b9ba-3d8eba7bb1fa/download/swb_px_direct_fitting.csv
 Description: Daily averaged values used for the direct fitting
description: Resource Title: texture_data.csv
 Size: 1189 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/c1c4be41-28ff-4d20-97d5-aa6c28e74695/download/texture_data.csv
 Description: Texture data of the soil locations
description: Resource Title: van_genuchten_parameter_values.csv
 Size: 3098 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/810089c7-a4f8-4e9a-a9b9-5d1a55676b81/download/van_genuchten_parameter_values.csv
 Description: Complete list of the van Genuchten parameter values for each soil and method
DOI: 10.16904/envidat.572
title: Capillary rise rise experiments in snow using neutron radiography

description: This dataset consists of data related to capillary rise experiments performed with neutron radiography. There are 4 videos of capillary rise experiments as well as the files used to perform the inverse fitting with Hydrus. The videos show the upward flow of water in glass columns filled with sand and snow or sand, gravel, and snow. The videos show the 2D evolution of the unitless optical density with time. The Hydrus files were used to fit the parameter values of the Mualem-van Genuchten model. The experiments were performed at the Paul Scherrer Institute (PSI) in Villigen, Switzerland.
description: Resource Title: capillary_rise_experiment_videos.zip
 Size: 10552661 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/44ba7f26-f741-4b92-a4ff-8e99dd8f689c/resource/4d5ee580-c1b4-49d4-868f-971b8383afa7/download/capillary_rise_experiment_videos.zip
 Description: Videos of the capillary rise experiments
description: Resource Title: depricated.txt
 Size: 496 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/44ba7f26-f741-4b92-a4ff-8e99dd8f689c/resource/74c3db20-eaed-40de-a880-f042010cf6cc/download/readme.txt
 Description: Description of the videos
description: Resource Title: Hydrus_inverse_fitting_files.zip
 Size: 749844 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/44ba7f26-f741-4b92-a4ff-8e99dd8f689c/resource/a4e140c9-e73a-402e-9b59-63b6000d5bb6/download/hydrus_inverse_fitting_files.zip
 Description: The Hydrus files used for the inverse fitting of the hydraulic conductivity.
description: Resource Title: README.txt
 Size: 1089 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/44ba7f26-f741-4b92-a4ff-8e99dd8f689c/resource/5631a26d-f9f0-4548-9e78-e6eecdffcee5/download/readme.txt
 Description: Descriptions of the nomenclature, Hydrus files, and videos.
DOI: 10.16904/envidat.424
title: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan

description: This research data is used to re includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions. This research data includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions.
description: Resource Title: Plant range map at Hengduan scale
 Size: 635180593 bytes
 Format: application/x-7z-compressed
 URL: https://www.envidat.ch/dataset/736a30b8-2b01-40b0-b97f-aba77c2272e6/resource/95b657e6-4f16-4d44-aea1-6014d6560b54/download/three_models.7z
 Description: This is the plant range map at the Hengduan mountain scale based on species distribution model, elevation, and county level distribution information
description: Resource Title: Hengduan plant family richness map
 Size: 159254007 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/736a30b8-2b01-40b0-b97f-aba77c2272e6/resource/fd56e712-502c-4c52-9ec4-fe7f0b461393/download/hengduan-plant-richness.zip
 Description: This is the family level plant richness map in the Hengduan mountain scale at 1km resoution
description: Resource Title: Eurasia plant family richness map 
 Size: 1149466779 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/736a30b8-2b01-40b0-b97f-aba77c2272e6/resource/8b94b856-31b3-42e3-bfb3-e77d7a54e209/download/eurasia_fam.zip
 Description: This is the plant family level richness map at the Eurasia scale calculated from https://www.nature.com/articles/s41597-021-00997-6
description: Resource Title: Eurasia SR and heteorgeneity 
 Size: 33861 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/736a30b8-2b01-40b0-b97f-aba77c2272e6/resource/f80b00d6-7381-4789-873c-c2bb4d2aa932/download/sr_eurasia_revision.csv
 Description: This table is used for the Eurasia scale analyses, including both family level species richness map and different heterogeneity predictors
description: Resource Title: HDM heterogeneity scales
 Size: 210551963 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/736a30b8-2b01-40b0-b97f-aba77c2272e6/resource/092b3ec7-afab-4692-9547-1aacba54f89e/download/hdm_heterogeneity_scales.zip
 Description: The Heterogeneity matrics in the Hengduan mountain scale
DOI: 10.16904/envidat.536
title: C-N-P-Release Treeline

description: 1. Chemical characteristics of litter layer sampled along elevation gradient across treeline ecotones in the Khibiny mountains (birch) and South Urals (spruce) 
2. Release of C-N-P during decomposition at 5°C and 15° studied in an incubation experiment with microlysimeters 
3. Data on microbial biomass C-N-P, potential activity of C-N-P requiring enzymes in the litter layer
4. Mineralization of 13C labeled glucose-6 phosphate, microbial 13C uptake, and net P immobilization of released P to identify microbial processing of labile organic P
description: Resource Title: Hagedorn_Treeline_CNP-Release_FinalData.xlsx
 Size: 138655 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/fcffc08a-eab6-45e1-afc8-d4d35228839e/resource/fed743c4-66cb-40f5-96f1-fedc0d02d4b3/download/hagedorn_treeline_cnp-release_finaldata.xlsx
 Description: Litter layer characteristics, C-N-P-release during decomposition, microbial C-N-P, enzyme activity, mineralization of 13C-labeled glucose-6-phosphate from samples collected across two treelines
DOI: 10.16904/envidat.490
title: Life at chilly temperatures - A collection of microorganisms from extreme habitats

description: The cold habitats of the Swiss Alps and the Arctic are undergoing change and are at risk of disappearing completely or partially in the future. Along with them, a poorly known diversity of microorganisms that have adapted to life in these supposedly hostile places. By cryopreserving microorganisms from these habitats, some of today's biodiversity can be preserved in biobanks.
The collection contains cryopreserved bacteria and fungi isolated from permafrost and active layer of Muot da Barba Peider and Val Lavirun, from the glacier forefield and glacier toe of the Damma glacier, from active layer in northern Greenland and from plastic waste in Svalbard, as well as isolates from plastic incubations in Muot da Barba Peider, northern Greenland and arctic Russian soils.
Project overview: https://www.wsl.ch/en/projects/life-at-chilly-temperatures-a-collection-of-microorganisms-from-extreme-habitats/
description: Resource Title: Cold_environment_collection.xlsx
 Size: 165940 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/225c560e-db2c-44e8-a9f8-60d3e291e64f/resource/ae6ea73e-900d-42f3-a13f-62d8c7033d3c/download/cold_environment_collection.xlsx
 Description: Complete collection of bacterial and fungal isolates from Permafrost, active layer and glaciers in Switzerland, Svalbard, northern Greenland and Russia.
DOI: 10.16904/envidat.477
title: Gao_Drought resistance and resilience of rhizosphere communities_13C-PLFA

description: Data of 13C-pulselabeling experiments in a young beech model ecosystem and a mature pine forest exposed to drought and rewetting. Data include microclimate during the experiment, total PLFA contents, d13C signatures in PLFA , microbial biomass, soil-respired CO2 measure during 30 days following 3-4 hour long pulse labeling with highly 13C-enriched CO2.
description: Resource Title: Gao_Frank_C13 pulse labeling.xlsx
 Size: 220667 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/08ab0bc2-8953-41d2-8fa2-cfdee0f2a0c4/resource/a998b3d8-ba2e-4dfc-805f-c10745284c87/download/gao_frank_c13-pulse-labeling.xlsx
 Description: Data of manuscript by Gao t al. : Drought resistance and resilience of rhizosphere communities in forest soils from the cellular to ecosystem scale – insights from 13C pulse labeling
Inludes data on 13C pulse-labeling experiment in young beech model ecosystems and a mature pine forest. Data of soil climate, total PLFA, 13C label strength in PLFA of pulse-labeling carried out under drought and after rewetting