cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0204268.10fu
title: SH0204268.10FU

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/sh0204269.10fu
title: SH0204269.10FU

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.zgjk2k
title: Occurrence Download

description: A dataset listing the 1043 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Hungary",
 "TaxonKey is Aves"
 ]
}

 The dataset's 1043 records were derived from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000273-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2m3l7l
title: CCDC 2416519: Experimental Crystal Structure Determination

description: Related Article: X.-E Duan, Z.-J. Jiang, H.-B. Tong, S.-D. Bai|2025|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|81|82|doi:10.1107/S2053229625000282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3l8m
title: CCDC 2416520: Experimental Crystal Structure Determination

description: Related Article: X.-E Duan, Z.-J. Jiang, H.-B. Tong, S.-D. Bai|2025|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|81|82|doi:10.1107/S2053229625000282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3l9n
title: CCDC 2416521: Experimental Crystal Structure Determination

description: Related Article: X.-E Duan, Z.-J. Jiang, H.-B. Tong, S.-D. Bai|2025|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|81|82|doi:10.1107/S2053229625000282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ktpqjr
title: Occurrence Download

description: A dataset containing 74626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is Bufo bufo (Linnaeus, 1758)"
 ]
}

 The dataset includes 74626 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000278-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzm5aj
title: Occurrence Download

description: A dataset containing 29431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Pteridium aquilinum",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 29431 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000281-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvbn6d
title: Occurrence Download

description: A dataset containing 98450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "TaxonKey is Odocoileus hemionus (Rafinesque, 1817)"
 ]
}

 The dataset includes 98450 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000280-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2tfy2
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agriades zullichi Hemming, 1933"
 ]
}

 The dataset includes 143 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000283-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4g42j9
title: Occurrence Download

description: A dataset containing 46558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Larix Mill., Abies alba Mill.)"
 ]
}

 The dataset includes 46558 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000282-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3estt
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cynomorium songaricum Rupr., Saussurea orgaadayi Khanm. & Krasnob.)"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000284-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9q5e9n
title: Occurrence Download

description: A dataset containing 1636 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia argentea Humb. & Bonpl."
 ]
}

 The dataset includes 1636 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000285-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3ccqf4
title: Abies alba natural populations of Italy and Balkans (IBBR-ABIES-ALBA)

description: Some 1168 silver fir trees from 24 natural populations sampled across italy and the Balkanian peninsula have been fully genotyped using a set of 16 SSR loci. Needles have been collected from georeferenced, individual trees in the forest, transported to the lab and kept at -80 °C for long-term storage. DNA has been extracted from each tissue sample for purpose of population genetic studies and evolutionary history reconstruction, and it is currently maintained at -20 *C for future research.
DOI: 10.5066/p1hvkdvs
title: Timing of coral (Swiftia exserta) spawning in U.S.G.S. Wetland and Aquatic Research Center, Gainesville, FL

description: The 2010 Deepwater Horizon oil spill injured mesophotic and deep-sea environments over a vast area. In order to restore the mesophotic and deep-sea coral species impacted by the spill, information on fundamental ecosystem processes such as reproduction is needed. During expeditions in 2021 and 2022, fragments of the mesophotic octocoral Swiftia exserta were collected from the northern Gulf of Mexico and transported to aquaria at federal facilities in South Carolina, Florida, and Texas. In the fall of 2021 and 2022, several of the fragments spawned in captivity, providing an opportunity to learn about their reproduction and inform future restoration activities. Broadcast spawning occurred on 19 and 20 October, 2021 and for 20 days from 29 September to 7 November, 2022. These spawning events permitted detailed observations of spawning behavior and timing, and colonies yielded over 2400 oocytes. Individual spawns were preceded by a distinctive “spawning posture” in the polyps, lasting between five minutes and two hours, and may have been cued by light. Swiftia exserta larvae settled and developed at comparable rates to other broadcast spawning octocorals, becoming swimming planulae by three days post spawn (dps) and starting to settle by 14 dps. These observations represent the first such records in S. exserta, and more broadly, a mesophotic coral in the Gulf of Mexico, providing important insights for the restoration of these species such as spawning season. Also, this investigation lays the foundation for future work to explore the influences of seasonal environmental variables, such as light and temperature, on spawning and reproductive seasonality in this species. This dataset contains the timing and dates of parent colonies with how many eggs they produced.
DOI: 10.15468/dl.uxu6nn
title: Occurrence Download

description: A dataset containing 12981 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Latrodectus geometricus C.L.Koch, 1841"
 ]
}

 The dataset includes 12981 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000286-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wszjxq
title: Occurrence Download

description: A dataset containing 65317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is Buddleja davidii Franch."
 ]
}

 The dataset includes 65317 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000287-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k3qk7
title: Occurrence Download

description: A dataset containing 12496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer platanoides L."
 ]
}

 The dataset includes 12496 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000288-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14850853
title: BETA-FOR_SP3_ForestStructure_GEDI_2017/2023_mean

description: This data set contains per patch information of forest structure attributes derived from spatial modelling of GEDI data (Global Ecosystem Dynamics Investigation; spaceborne sensor from NASA; full-waveform LiDAR; discrete footprints; sampling mission) based on Sentinel-1 (Radar; ESA) and Sentinel-2 (multispectral; ESA) composites from 2017 to 2022 at 10 m spatial resolution. The pixels of three forest structure attributes (canopy height, total canopy cover, above-ground biomass density) per patch and year are aggregated as spatial statistic (mean). The dataset is available for all 234 patches with annual information (column "Year") (mean; column "SpatialStats") of different attributes (column "Attribute") for forest structure: canopy height (rh_95; 95th percentile of the canopy height metrics; meters), total canopy cover (cover, %) and above-ground biomass density (agbd, Mg/ha) and stored in a single .csv file. More information on the modelling approach can be found in the following publication: https://doi.org/10.3390/rs15081969. From January 2024 on, the continuous rasters of the three forest structure attributes (2017 to 2022) covering all forested area of Germany at 10 m spatial resolution is also published under https://geoservice.dlr.de/web/ with the name "Forest Structure - Germany, 2017-2022".
description: Variables Description################

*regionSite: specifies the Site the patch is located in using the unique Site label

*Treatment: two-letter abbreviation for the treatment performed on the patch

*Patch Nr: every patch is assigned a unique number from 1 to 234

*patchLabel_BETAFOR: unique BETA-FOR patch label

*Year: year when the sample was taken

*Attribute: attribute of forest structure: agbd (above-ground biomass density, Mg/ha), cover (total canopy cover, %), rh_95 (canopy height, 95th percentile of the vertical canopy height metrics, m) as coefficient of variation per patch of the intersecting 10 m pixels

*SpatialStats: aggregation of the 10 m pixels per patch as "cv" (coefficient of variation)

*Value: value of Attribute and SpatialStats
DOI: 10.5281/zenodo.14850854
title: BETA-FOR_SP3_ForestStructure_GEDI_2017/2023_mean

description: This data set contains per patch information of forest structure attributes derived from spatial modelling of GEDI data (Global Ecosystem Dynamics Investigation; spaceborne sensor from NASA; full-waveform LiDAR; discrete footprints; sampling mission) based on Sentinel-1 (Radar; ESA) and Sentinel-2 (multispectral; ESA) composites from 2017 to 2022 at 10 m spatial resolution. The pixels of three forest structure attributes (canopy height, total canopy cover, above-ground biomass density) per patch and year are aggregated as spatial statistic (mean). The dataset is available for all 234 patches with annual information (column "Year") (mean; column "SpatialStats") of different attributes (column "Attribute") for forest structure: canopy height (rh_95; 95th percentile of the canopy height metrics; meters), total canopy cover (cover, %) and above-ground biomass density (agbd, Mg/ha) and stored in a single .csv file. More information on the modelling approach can be found in the following publication: https://doi.org/10.3390/rs15081969. From January 2024 on, the continuous rasters of the three forest structure attributes (2017 to 2022) covering all forested area of Germany at 10 m spatial resolution is also published under https://geoservice.dlr.de/web/ with the name "Forest Structure - Germany, 2017-2022".
description: Variables Description################

*regionSite: specifies the Site the patch is located in using the unique Site label

*Treatment: two-letter abbreviation for the treatment performed on the patch

*Patch Nr: every patch is assigned a unique number from 1 to 234

*patchLabel_BETAFOR: unique BETA-FOR patch label

*Year: year when the sample was taken

*Attribute: attribute of forest structure: agbd (above-ground biomass density, Mg/ha), cover (total canopy cover, %), rh_95 (canopy height, 95th percentile of the vertical canopy height metrics, m) as coefficient of variation per patch of the intersecting 10 m pixels

*SpatialStats: aggregation of the 10 m pixels per patch as "cv" (coefficient of variation)

*Value: value of Attribute and SpatialStats
DOI: 10.5281/zenodo.14887666
title: Data related to the article "Comparative Analysis of Deep Learning‐Based Algorithms for Peptide Structure Prediction"

description: These files are the data related to the article "Comparative Analysis of Deep Learning‐Based Algorithms for Peptide Structure Prediction".

You will find:



dataset.zip An archive containing our complete peptide dataset in FASTA format.

scripts.zip: The scripts used to perform structure predictions with AlphaFold2 (AF2), RoseTTAFold2 (RF2), and ESMFold (ESMF).

predictions.zip: An archive containing the best predicted model for each peptide, generated by AF2, RF2, and ESMF.

scores.zip: An archive containing various metrics used to assess the quality of the predictions.
DOI: 10.5281/zenodo.14850877
title: BETA-FOR_SP3_ForestStructure_GEDI_2017/2023_cv

description: This data set contains per patch information of forest structure attributes derived from spatial modelling of GEDI data (Global Ecosystem Dynamics Investigation; spaceborne sensor from NASA; full-waveform LiDAR; discrete footprints; sampling mission) based on Sentinel-1 (Radar; ESA) and Sentinel-2 (multispectral; ESA) composites from 2017 to 2022 at 10 m spatial resolution. The pixels of three forest structure attributes (canopy height, total canopy cover, above-ground biomass density) per patch and year are aggregated as spatial heterogeneity statistic (coefficient of variation). The dataset is available for all 234 patches with annual information (column "Year") on the heterogeneity (coefficient of variation (cv; column "SpatialStats") of different attributes (column "Attribute") for forest structure: canopy height (rh_95; 95th percentile of the canopy height metrics; meters), total canopy cover (cover, %) and above-ground biomass density (agbd, Mg/ha) and stored in a single .csv file. More information on the modelling approach can be found in the following publication: https://doi.org/10.3390/rs15081969. From January 2024 on, the continuous rasters of the three forest structure attributes (2017 to 2022) covering all forested area of Germany at 10 m spatial resolution is also published under https://geoservice.dlr.de/web/ with the name "Forest Structure - Germany, 2017-2022".
description: Variables Description################

*regionSite: specifies the Site the patch is located in using the unique Site label

*Treatment: two-letter abbreviation for the treatment performed on the patch

*Patch Nr: every patch is assigned a unique number from 1 to 234

*patchLabel_BETAFOR: unique BETA-FOR patch label

*Year: year when the sample was taken

*Attribute: attribute of forest structure: agbd (above-ground biomass density, Mg/ha), cover (total canopy cover, %), rh_95 (canopy height, 95th percentile of the vertical canopy height metrics, m) as coefficient of variation per patch of the intersecting 10 m pixels

*SpatialStats: aggregation of the 10 m pixels per patch as "cv" (coefficient of variation)

*Value: value of Attribute and SpatialStats
DOI: 10.5281/zenodo.14850878
title: BETA-FOR_SP3_ForestStructure_GEDI_2017/2023_cv

description: This data set contains per patch information of forest structure attributes derived from spatial modelling of GEDI data (Global Ecosystem Dynamics Investigation; spaceborne sensor from NASA; full-waveform LiDAR; discrete footprints; sampling mission) based on Sentinel-1 (Radar; ESA) and Sentinel-2 (multispectral; ESA) composites from 2017 to 2022 at 10 m spatial resolution. The pixels of three forest structure attributes (canopy height, total canopy cover, above-ground biomass density) per patch and year are aggregated as spatial heterogeneity statistic (coefficient of variation). The dataset is available for all 234 patches with annual information (column "Year") on the heterogeneity (coefficient of variation (cv; column "SpatialStats") of different attributes (column "Attribute") for forest structure: canopy height (rh_95; 95th percentile of the canopy height metrics; meters), total canopy cover (cover, %) and above-ground biomass density (agbd, Mg/ha) and stored in a single .csv file. More information on the modelling approach can be found in the following publication: https://doi.org/10.3390/rs15081969. From January 2024 on, the continuous rasters of the three forest structure attributes (2017 to 2022) covering all forested area of Germany at 10 m spatial resolution is also published under https://geoservice.dlr.de/web/ with the name "Forest Structure - Germany, 2017-2022".
description: Variables Description################

*regionSite: specifies the Site the patch is located in using the unique Site label

*Treatment: two-letter abbreviation for the treatment performed on the patch

*Patch Nr: every patch is assigned a unique number from 1 to 234

*patchLabel_BETAFOR: unique BETA-FOR patch label

*Year: year when the sample was taken

*Attribute: attribute of forest structure: agbd (above-ground biomass density, Mg/ha), cover (total canopy cover, %), rh_95 (canopy height, 95th percentile of the vertical canopy height metrics, m) as coefficient of variation per patch of the intersecting 10 m pixels

*SpatialStats: aggregation of the 10 m pixels per patch as "cv" (coefficient of variation)

*Value: value of Attribute and SpatialStats
DOI: 10.15468/dl.qqsefy
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pestalotiopsis disseminata (Thüm.) Steyaert"
 ]
}

 The dataset includes 268 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000289-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8zhn8
title: Occurrence Download

description: A dataset containing 33759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima (Mill.) Swingle",
 "Country is France",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 33759 records from 723 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000290-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14035143
title: Paper dataset of "ARAMIS: a Martian radiative environment model built from GEANT4 simulations"

description: Supplementary materila dataset concerning the article : https://doi.org/10.1051/swsc/2024032 .