cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8f29mz
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Podocarpus parlatorei Pilg."
 ]
}

 The dataset includes 541 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009076-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zubdsw
title: Occurrence Download

description: A dataset containing 1260 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Prunus africana (Hook.fil.) Kalkman"
 ]
}

 The dataset includes 1260 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009078-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edcn3j
title: Occurrence Download

description: A dataset containing 11498 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Quercus mongolica Fisch. ex Ledeb."
 ]
}

 The dataset includes 11498 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009079-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x457xz
title: Occurrence Download

description: A dataset containing 9072 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Roupala montana Aubl."
 ]
}

 The dataset includes 9072 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009080-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktecde
title: Occurrence Download

description: A dataset containing 5521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.01496 16.70853,-82.7469 16.99976,-82.83401 14.23166,-83.18243 11.51458,-81.96294 9.71673,-80.1337 10.31718,-78.47867 10.48853,-77.17207 8.68491,-76.91075 7.65025,-75.95258 9.1152,-75.84013 9.37998,-75.54111 9.52837,-75.55951 10.15242,-75.52773 10.38168,-75.43467 10.62456,-74.98125 10.95911,-74.38309 10.97439,-71.85856 11.94102,-73.6007 16.91645,-73.89712 16.54803,-74.12295 15.55786,-76.63206 16.18514,-80.01496 16.70853))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Copepoda"
 ]
}

 The dataset includes 5521 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009081-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10846427
title: Urban monthly land dynamics Sentinel-2 benchmark dataset

description: The public data set of the paper "Time-series land cover change detection using deep learning-based temporal semantic segmentation" uses monthly synthesized Sentinel-2 for time series semantic change detection. A total of 32894 samples were collected. Each timestamp has a land cover type annotation. Anyone can use this data set to conduct further research. We will add more areas in the future. 

Data description:



The time series length of the sample is 48, 48 months.

The dimension of the time series is 13: [Sentinel-2 data (10) + Lable (1) + Lon(1) + Lat (1) ].

Label mapping: 0 is water body, 1 is woodland, 2 is grassland, 3 is bare soil, 4 is impervious surface, 5 is cropland.

For any implementation details, you can refer to the paper or github.


Paper citations:

He H, Yan J, Liang D, Sun Z, Li J, Wang L. Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment. 2024, 305:114101.
DOI: 10.5281/zenodo.10846426
title: Urban monthly land dynamics Sentinel-2 benchmark dataset

description: The public data set of the paper "Time-series land cover change detection using deep learning-based temporal semantic segmentation" uses monthly synthesized Sentinel-2 for time series semantic change detection. A total of 32894 samples were collected. Each timestamp has a land cover type annotation. Anyone can use this data set to conduct further research. We will add more areas in the future. 

Data description:



The time series length of the sample is 48, 48 months.

Label mapping: 0 is water body, 1 is woodland, 2 is grassland, 3 is bare soil, 4 is impervious surface, 5 is cropland.

For any implementation details, you can refer to the paper or github.


Paper citations:

He H, Yan J, Liang D, Sun Z, Li J, Wang L. Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment. 2024, 305:114101.
DOI: 10.5281/zenodo.10846539
title: Urban monthly land dynamics Sentinel-2 benchmark dataset

description: The public data set of the paper "Time-series land cover change detection using deep learning-based temporal semantic segmentation" uses monthly synthesized Sentinel-2 for time series semantic change detection. A total of 32894 samples were collected. Each timestamp has a land cover type annotation. Anyone can use this data set to conduct further research. We will add more areas in the future. 

Data description:



The time series length of the sample is 48, 48 months.

Label mapping: 0 is water body, 1 is woodland, 2 is grassland, 3 is bare soil, 4 is impervious surface, 5 is cropland.

For any implementation details, you can refer to the paper or github.


Paper citations:

He H, Yan J, Liang D, Sun Z, Li J, Wang L. Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment. 2024, 305:114101.
DOI: 10.15468/dl.h7mjcf
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Swartzia grandifolia Bong. ex Benth."
 ]
}

 The dataset includes 457 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009082-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55herf
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Swartzia ingifolia Ducke"
 ]
}

 The dataset includes 263 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009083-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px4jvt
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Swartzia leiocalycina Benth."
 ]
}

 The dataset includes 75 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009084-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f635uf
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Gavia arctica (Linnaeus, 1758)"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009086-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bn6z7
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Swartzia panacoco (Aubl.) R.S.Cowan"
 ]
}

 The dataset includes 685 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009087-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kegnv6
title: Occurrence Download

description: A dataset containing 10664 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Tectona grandis L.f."
 ]
}

 The dataset includes 10664 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009088-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.22331635
title: SampleData

description: Contrast enhanced ultrasound data of an pig heart model, together with a readme file.
DOI: 10.6084/m9.figshare.22331635.v1
title: SampleData

description: Contrast enhanced ultrasound data of an pig heart model, together with a readme file.
DOI: 10.6084/m9.figshare.25484716
title: Local earthquake tomography data from the Rainbow massif, Mid-Atlantic Ridge

description: The zip file includes data on the hypocenter locations, ocean bottom seismometer locations and local earthquake traveltime data used in the local earthquake tomography of "Hydrothermal flow and serpentinization in oceanic core complexes controlled by mafic intrusions".
DOI: 10.15468/dl.axk5t5
title: Occurrence Download

description: A dataset containing 59784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Country is Mexico"
 ]
}

 The dataset includes 59784 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009038-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwkypt
title: Occurrence Download

description: A dataset containing 5006804 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Naturalis Biodiversity Center (NL) - Botany"
 ]
}

 The dataset includes 5006804 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009041-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkubjf
title: Occurrence Download

description: A dataset containing 36688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio L."
 ]
}

 The dataset includes 36688 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009089-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrrkkh
title: Occurrence Download

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.21494 25.52073,113.86848 25.52073,113.86848 26.04726,113.21494 26.04726,113.21494 25.52073))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1023 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009090-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnt2fw
title: Occurrence Download

description: A dataset containing 6241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "Geometry POLYGON((104.7306 7.61856,111.04673 9.02151,108.05879 18.68858,108.17931 21.39475,106.68324 22.02468,106.71764 22.83899,105.54779 23.12572,105.36276 23.45646,104.79982 23.19824,104.7138 22.94592,104.44428 22.85417,103.99125 22.90004,103.98551 22.44701,103.6185 22.84843,103.53248 22.6764,103.31457 22.85417,103.02211 22.5273,102.45438 22.81403,102.09311 22.40687,102.76145 20.90583,104.26391 20.49294,103.77073 19.21987,105.74137 17.55368,107.4388 13.44773,107.23235 12.16319,105.8351 11.87237,103.74772 10.40433,104.7306 7.61856))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryopsida"
 ]
}

 The dataset includes 6241 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009091-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24208428.v1
title: BERNN: Enhancing Classification of liquid chromatography mass spectrometry data with Batch Effect Removal Neural Networks

description: Data that was used to produce all the bar plots of the paper. All cells contains an array, each value in the array represents a repetition of the repeated holdout. Some of the bacth effect metrics values only have a single value because the batch correction is only done once, as it always return the same values.
DOI: 10.6084/m9.figshare.25568439.v1
title: In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration for Bietti crystalline corneoretinal dystrophy treatment

description: The raw sequencing data of targeted mouse genome and targeted transcripts in this article. The raw sequencing data of editing verification in edited RPE cells, iPSC and mouse retina tissues in this article.
DOI: 10.5281/zenodo.10610741
title: none

description: This dataset is built to construct 3D parametric CAD models from B-Rep models (step files) and is based on the public datasets ABC and DeepCAD. The original B-Rep models are from ABC, and the corresponding CAD command sequences are from DeepCAD. In addition, the dataset contains three parts that are B-Rep models, CAD command sequences, and point clouds. Here, the B-Rep models are converted to UV-graphs with different grid resolution, 10 and 32 (folder '/cad_uvgraph10' and '/cad_uvgraph32'); the command sequences are represented in two different types with local and global coordinates (in folder '/cad_vec' and '/cad_vec_global'); and the B-Rep models also represented as point clouds (folder '/cad_pc').
DOI: 10.5281/zenodo.10610127
title: none

description: This dataset is built to construct 3D parametric CAD models from B-Rep models (step files) and is based on the public datasets ABC and DeepCAD. The original B-Rep models are from ABC, and the corresponding CAD command sequences are from DeepCAD. In addition, the dataset contains three parts that are B-Rep models, CAD command sequences, and point clouds. Here, the B-Rep models are converted to UV-graphs with different grid resolution, 10 and 32 (folder '/cad_uvgraph10' and '/cad_uvgraph32'); the command sequences are represented in two different types with local and global coordinates (in folder '/cad_vec' and '/cad_vec_global'); and the B-Rep models also represented as point clouds (folder '/cad_pc').
DOI: 10.5281/zenodo.10610128
title: none

description: This dataset is built to construct 3D parametric CAD models from B-Rep models (step files) and is based on the public datasets ABC and DeepCAD. The original B-Rep models are from ABC, and the corresponding CAD command sequences are from DeepCAD. In addition, the dataset contains three parts that are B-Rep models, CAD command sequences, and point clouds. Here, the B-Rep models are converted to UV-graphs with different grid resolution, 10 and 32 (folder '/cad_uvgraph10' and '/cad_uvgraph32'); the command sequences are represented in two different types with local and global coordinates (in folder '/cad_vec' and '/cad_vec_global'); and the B-Rep models also represented as point clouds (folder '/cad_pc').
DOI: 10.6084/m9.figshare.24208428
title: BERNN: Enhancing Classification of liquid chromatography mass spectrometry data with Batch Effect Removal Neural Networks

description: Data that was used to produce all the bar plots of the paper. All cells contains an array, each value in the array represents a repetition of the repeated holdout. Some of the bacth effect metrics values only have a single value because the batch correction is only done once, as it always return the same values.
DOI: 10.6084/m9.figshare.25568439
title: In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration for Bietti crystalline corneoretinal dystrophy treatment

description: The raw sequencing data of targeted mouse genome and targeted transcripts in this article. The raw sequencing data of editing verification in edited RPE cells, iPSC and mouse retina tissues in this article.
DOI: 10.15468/dl.47sadb
title: Occurrence Download

description: A dataset containing 4591 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is WII Herbarium Dataset"
 ]
}

 The dataset includes 4591 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009092-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdf4yd
title: Occurrence Download

description: A dataset containing 7064657 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global soil organisms"
 ]
}

 The dataset includes 7064657 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009048-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8381538
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.xvvahr
title: Occurrence Download

description: A dataset containing 15854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.29889 43.14412,8.52991 42.64449,8.44343 42.25053,8.50689 41.47879,8.58969 41.12986,7.9664 40.97462,8.19229 40.15175,8.13387 39.29866,8.29348 38.80159,8.75102 38.63749,9.74103 39.00658,9.88348 39.83638,9.99065 40.64409,9.89479 41.05264,9.5995 41.34504,9.51623 41.571,9.58487 41.78662,9.88152 42.04141,9.80137 42.46583,9.66313 42.82839,9.52032 43.12083,9.41712 43.26364,9.29889 43.14412))",
 "TaxonKey is Nymphalidae"
 ]
}

 The dataset includes 15854 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009095-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79wpu7
title: Occurrence Download

description: A dataset containing 100685 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cissus L.)"
 ]
}

 The dataset includes 100685 records from 873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009054-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/th046497
title: TH046497
title: Cynodon

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.25549/one-c4-47729
title: Posters and graphic materials
DOI: 10.15156/bio/sh1246385.08fu
title: SH1246385.08FU

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/sh1246386.08fu
title: SH1246386.08FU

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/sh1246387.08fu
title: SH1246387.08FU

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/th046498
title: TH046498
title: Tripogon

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.