cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0202851.10fu
title: SH0202851.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202852.10fu
title: SH0202852.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.16904/envidat.725
title: Source code for a preferential snowfall deposition model

description: This is the source code for modeling preferential snowfall deposition and snowfall downscaling as described in:
Helbig N., Mott R., Bühler Y., Le Toumelin L., Lehning M. (2024) Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies. Front. Earth Sci. 11, 1308269 (19 pp.). https://doi.org/10.3389/feart.2023.1308269
The code reads wind speed, wind direction, and snowfall values for each time step from the example file meteo.txt, as well as terrain elevations (DEM) from dem.txt. The snowfall value is then downscaled to the fine grid defined by the DEM and written to pref_dep.txt.
The current version can be found in the WSL/SLF Gitlab repository:
https://gitlabext.wsl.ch/snow-models/statistical-preferential-deposition-model
description: Resource Title: Source code for a preferential snowfall deposition model
 Size: 66939 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/c47718f1-1bd0-4435-8952-aa65d31ae467/resource/1cd1d1bf-c6aa-49ec-ab4b-9bb349d6cc9c/download/pref_dep.zip
 Description: Python code for modeling preferential snowfall deposition
DOI: 10.16904/envidat.727
title: Blue-Green Biodiversity Beavers affecting Ecosystems

description: This is the metadata collected in the Blue-Green Biodiversity Beavers project running from 2021 till 2025 about how beavers affect the biodiversity and ecosystem. See the linked datasets for studies and methods.
description: Resource Title: Data_overview_beaver_20251231.xlsx
 Size: 28764 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/8637dffb-35cf-4960-a5ce-63df7ebc91d4/resource/420b1d29-b614-4b9f-8733-49f2f16f8d46/download/data_overview_beaver_20251231.xlsx
 Description:
DOI: 10.15156/bio/sh0202853.10fu
title: SH0202853.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202854.10fu
title: SH0202854.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.16904/envidat.401
title: Climatological snow data since 1998, OSHD

description: This dataset accompanies the publication “Operational snow hydrological modeling for Switzerland” (Mott et al., 2023; https://doi.org/10.3389/feart.2023.1228158). It provides a climatological record of gridded snow water equivalent and snowmelt runoff for the period 1998–2022, resolved at 1 km spatial and daily temporal scales. All data were generated using the conceptual OSHD Temperature Index Model.
description: Resource Title: Data package
 Size: 14849849426 bytes
 Format: .nc
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.401/TI_1998_2022.nc
 Description:
DOI: 10.15156/bio/sh0202855.10fu
title: SH0202855.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202856.10fu
title: SH0202856.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202857.10fu
title: SH0202857.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202858.10fu
title: SH0202858.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.v5kg7w
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.687625 18.03866, 79.613756 18.033084, 79.541719 18.016496, 79.47330100000001 17.989305, 79.410195 17.952188, 79.353962 17.906062, 79.305989 17.852071, 79.267453 17.79155, 79.23929800000001 17.725995, 79.222207 17.657024, 79.216589 17.586339, 79.22256899999999 17.515681, 79.239986 17.446789, 79.2684 17.381355, 79.307101 17.320988, 79.355132 17.267167, 79.41130800000001 17.221211, 79.47424700000001 17.184247, 79.542407 17.157179, 79.61411699999999 17.140668, 79.687625 17.13512, 79.761132 17.140668, 79.832843 17.157179, 79.90100200000001 17.184247, 79.96394100000001 17.221211, 80.020117 17.267167, 80.06814799999999 17.320988, 80.10684999999999 17.381355, 80.13526400000001 17.446789, 80.152681 17.515681, 80.15866 17.586339, 80.153042 17.657024, 80.13595100000001 17.725995, 80.10779599999999 17.79155, 80.069261 17.852071, 80.021287 17.906062, 79.96505399999999 17.952188, 79.901949 17.989305, 79.83353 18.016496, 79.761494 18.033084, 79.687625 18.03866))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002190-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0202859.10fu
title: SH0202859.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202860.10fu
title: SH0202860.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.dsbdbs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobius microps",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042110-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/hdht-mz1t-t40n
title: FASTEX soundings from ASAP ship Douce France. Version 1.0

description: This dataset consists of sounding data from the French ASAP ship the Douce France. Soundings were taken two times per day (00 and 12 UTC) while the ship was within the FASTEX domain. These data were processed through the automated and visual quality control. This dataset includes pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at 10 second vertical intervals. Refer to the station README for details.
DOI: 10.15468/dl.t6d22r
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Neonauclea media"
 ]
}

 The dataset includes 90 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042111-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3f4u3
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Neonauclea formicaria"
 ]
}

 The dataset includes 81 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042112-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/brwr-pmct-300h
title: FASTEX soundings from the USAF C-130 dropsondes. Version 1.0

description: This dataset consists of dropsonde data from the USAF C-130. Dropsondes were taken as requested. These data were processed through automated and visual quality control. These data include pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at 10 second vertical intervals. Refer to the station README for details.
DOI: 10.15468/dl.w56je7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melogona voigtii",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042113-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34911/rdnt.1x18sn
title: Tropical Cyclone Satellite Imagery and Wind Speed Dataset
DOI: 10.26023/m4rz-p8dv-fb0r
title: FASTEX soundings from Wallops Island. Version 1.0

description: This dataset consists of sounding data from Wallops Island, Virginia in the USA (WMO 72402) which was operated by the US National Weather Service. Soundings were taken two times per day (00 and 12 UTC) except during selected IOPs when it was up to four times per day (also 06 and 18 UTC). These data were processed through automated and visual quality control. This dataset includes pressure, temperature, dew point, relative humidity, and altitude taken at 1.2 second vertical intervals and wind speed and wind direction taken at 1 minute vertical intervals. Refer to the station README for details.
DOI: 10.15468/dl.dspsqd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archiboreoiulus pallidus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042114-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/kg9a-d9q5-wa0r
title: FASTEX soundings from Lerwick. Version 1.0

description: This dataset consists of sounding data from Lerwick in the United Kingdom (WMO 03005) which was operated by the UK Meteorological Office. Soundings were taken four times per day (00, 06, 12, and 18 UTC) except during selected IOPs when it was up to eight per day (also 03, 09, 15, and 21 UTC). These data were processed through automated and visual quality control. This dataset includes pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at two second vertical intervals. However, for most of the 06 and 18 UTC soundings the winds were taken at only 20 or 60 second vertical intervals. Refer to the station README for details.
DOI: 10.5281/zenodo.16987704
title: CoDS-GCS/OCR-APT: Dataset

description: This is the dataset for the paper OCR-APT: Reconstructing APT Stories through Subgraph Anomaly Detection and LLMs, accepted at ACM CCS2025
DOI: 10.5281/zenodo.17254415
title: CoDS-GCS/OCR-APT: Dataset

description: This is the dataset for the paper OCR-APT: Reconstructing APT Stories through Subgraph Anomaly Detection and LLMs, accepted at ACM CCS2025
DOI: 10.26023/9jg0-064h-7012
title: FASTEX soundings from Lajes. Version 1.0

description: This dataset consists of sounding data from Lajes in the Azores (Portugal) (WMO 08508) which was operated by INMG). Soundings were taken two times per day (00 and 12 UTC) in January and four times per day (also 06 and 18 UTC) in February. These data were processed through automated and visual quality control. This dataset includes pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at variable vertical intervals. Refer to the station README for details.
DOI: 10.15468/dl.7mqntp
title: Occurrence Download

description: A dataset containing 27122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis"
 ]
}

 The dataset includes 27122 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042115-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6sz4d
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blaniulus guttulatus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042116-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/8mwq-f98t-c60x
title: FASTEX soundings from the UK C-130 dropsondes. Version 1.0

description: This dataset consists of dropsonde data from the UK C-130 provided by the UK Meteorological Office. Dropsondes were taken as requested. These data underwent automated and visual quality control. These data include pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at approximately 1.5 second vertical intervals. Refer to the station README for details.
DOI: 10.15468/dl.tmygbm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blaniulus guttulatus",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042117-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.