cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.23gzw7
title: Occurrence Download

description: A dataset containing 6434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.48581 14.81239,-64.51764 14.81239,-64.51764 22.23456,-75.48581 22.23456,-75.48581 14.81239))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anolis shrevei (Cochran, 1939), Anolis cybotes Cope, 1862)"
 ]
}

 The dataset includes 6434 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000990-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apbkh2
title: Occurrence Download

description: A dataset containing 14480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rytidosperma racemosum (R.Br.) Connor & Edgar"
 ]
}

 The dataset includes 14480 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000993-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgt93f
title: Occurrence Download

description: A dataset containing 44514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasypus Linnaeus, 1758",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44514 records from 503 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12538349
title: Pediatric CT Noise Texture Augmentation

description: Dataset of routine and quarter dose anthropomorphic phantom (XCAT) CT simulations using the Michigan image Reconstruction Toolbox (MIRT).
DOI: 10.5281/zenodo.12538350
title: Pediatric CT Noise Texture Augmentation

description: Dataset of routine and quarter dose anthropomorphic phantom (XCAT) CT simulations using the Michigan image Reconstruction Toolbox (MIRT).
DOI: 10.25345/c55q4rz6c
title: MassIVE MSV000097148 - GNPS_GCMS_Massive_Capsicum_JuanD
title: Volatile/alimentomic and comparative study of the volatile profile of chili peppers
DOI: 10.15468/dl.d8mnyv
title: Occurrence Download

description: A dataset listing the 281253 species recorded in GBIF matching the query:
{
 "and" : [
 "Year is 2022",
 "BasisOfRecord is Human Observation",
 "TaxonomicStatus is Accepted"
 ]
}

 The dataset's 281253 records were derived from 6500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000991-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18026700
title: Andrena barbara	UNHC_0045895
DOI: 10.5281/zenodo.18078402
title: Andrena barbara	UNHC_0045895
DOI: 10.15468/dl.a9sq4n
title: Occurrence Download

description: A dataset containing 5639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((11.59166 50.95764,11.61079 50.9518,11.61726 50.96272,11.63469 50.95924,11.64832 50.96412,11.66466 50.9855,11.64411 50.99432,11.61314 50.99009,11.59166 50.95764))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5639 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067930-251120083545085/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.30947483.v1
title: Genome sequence and annotation files for “Candidatus Nitrosotenuis chungbukensis” MY2

description: Genome sequence and annotation files for “Candidatus Nitrosotenuis chungbukensis” MY2
DOI: 10.13140/rg.2.2.11007.06560
title: Annus mirabilis (year 2005 interview in Polish)
DOI: 10.7273/000007813
title: ONLINE SUPPLEMENTAL MATERIAL: Stress is not the sum of its parts: Antagonistic effects of hypersalinity on heat tolerance in a copepod emerge from non-additive molecular responses

description: Supplemental materials (Figure S1, Tables S1-S5) to accompany manuscript of the same name submitted to Physiological Genomics. Includes pathway maps, lists of differentially abundant proteins in high salinity, high temperature, or both, and functional enrichment results.
DOI: 10.15468/dl.7xnn5c
title: Occurrence Download

description: A dataset containing 4245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.46481 14.75411,-83.3049 -10.61645,-45.41708 -29.43435,-28.36336 -5.99599,-65.24308 13.99803,-82.46481 14.75411))",
 "TaxonKey is Podocnemis unifilis"
 ]
}

 The dataset includes 4245 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067932-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c52n4zx59
title: MassIVE MSV000100344 - High Throughput Proteomic and Glycoproteomic Analysis in Benign Prostatic Hyperplasia
title: Benign prostatic hyperplasia (BPH) is a disease affecting the majority of aging men; 90% of men develop histological BPH by the time they reach their eighties. BPH can lead to bothersome lower urinary tract symptoms (LUTS), which reduce quality of life. Many patients fail current treatment options and may progress to surgical intervention. Furthermore, diagnosis is reliant on symptom questionnaires and the cause of LUTS can be difficult to distinguish. No noninvasive diagnostic biomarker exists for BPH. One major limitation to understanding the pathophysiology of BPH is the lack of clinical samples. This investigation aims to address that gap in knowledge by performing mass spectrometry (MS) -based proteomics and glycoproteomics on healthy prostate tissue versus prostate tissue with BPH. By integrating proteomics and glycoproteomics, we identified 206 proteins and 44 glycopeptides that were significantly altered between BPH and control samples. These findings provide deeper insight into disease-associated pathways and may facilitate the identification of clinically relevant targets for further investigation.
DOI: 10.18112/openneuro.ds007139.v1.0.0
title: PURSUE LRP/ERN Flanker
DOI: 10.15468/dl.gwug75
title: Occurrence Download

description: A dataset containing 9404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.93745 3.95578,-75.40234 4.03238,-75.37033 4.62947,-75.30516 4.94174,-76.02663 4.94164,-76.35977 4.01388,-75.93745 3.95578))",
 "HasGeospatialIssue is false",
 "TaxonKey is Icterus chrysater"
 ]
}

 The dataset includes 9404 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067934-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds007137.v1.0.0
title: PURSUE N2pc Visual Search
DOI: 10.18112/openneuro.ds007069.v1.0.0
title: PURSUE MMN Auditory Oddball
DOI: 10.34740/kaggle/dsv/14324952
title: Electric Vehicle Population Data
DOI: 10.6084/m9.figshare.30688520
title: BUNCH simulations dataset

description: These data were generated by a computer simulation of interactive particle systems (IPS), described in the article Defining and finding lifelike entities with a lazy filter. The IPS code and the code for the BUNCH algorithm can be found on a Github [repository](https://github.com/mmartinezsaito/racemi). <br>
DOI: 10.6084/m9.figshare.30688520.v1
title: BUNCH simulations dataset

description: These data were generated by a computer simulation of interactive particle systems (IPS), described in the article Defining and finding lifelike entities with a lazy filter. The IPS code and the code for the BUNCH algorithm can be found on a Github [repository](https://github.com/mmartinezsaito/racemi). <br>
DOI: 10.15468/dl.ndpjyu
title: Occurrence Download

description: A dataset containing 145506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegolius acadicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 145506 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067928-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fynep
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tectona philippinensis"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067935-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2s2zv
title: Occurrence Download

description: A dataset containing 121266472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 121266472 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067929-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15656655
title: On the drift-diffusion analysis of the Pulsed Townsend experiment: a fitting algorithm and benchmark study

description: This dataset contains the monte carlo simulations and experimentally obtained PT waveforms used in the publications "On the drift-diffusion analysis of the Pulsed Townsend experiment: a fitting algorithm and benchmark study",
DOI: 10.5281/zenodo.15656656
title: On the drift-diffusion analysis of the Pulsed Townsend experiment: a fitting algorithm and benchmark study

description: This dataset contains the monte carlo simulations and experimentally obtained PT waveforms used in the publications "On the drift-diffusion analysis of the Pulsed Townsend experiment: a fitting algorithm and benchmark study",
DOI: 10.6084/m9.figshare.30944081
title: Invasive Species (Plant Science) Review Data

description: These files were generated as part of the module <b>“Experimental Plant Ecology 1.”</b>
DOI: 10.6084/m9.figshare.30944081.v2
title: Invasive Species (Plant Science) Review Data

description: These files were generated as part of the module <b>“Experimental Plant Ecology 1.”</b>
DOI: 10.6084/m9.figshare.30944081.v3
title: Invasive Species (Plant Science) Review Data

description: These files were generated as part of the module <b>“Experimental Plant Ecology 1.”</b>
DOI: 10.5281/zenodo.18078414
title: Catalogue of photoidentification images of common dolphins (Delphinus delphis) from the Bay of Algeciras–Gibraltar, 2017–2020 (PDF files)

description: This dataset contains four PDF files with the catalogue of photo-identification images of common dolphins (Delphinus delphis) in the Bay of Algeciras–Gibraltar, compiled from surveys conducted between 2017 and 2020. The PDFs include dorsal fin photographs of adult individuals; photographs of all captures and recaptures of each individual, as well as the observed putative mother–calf pairs. These files constitute the first photo-identification catalogue of the species in this area and provide the visual material that complements the Excel datasets.
DOI: 10.34740/kaggle/dsv/14325009
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.29923760
title: iJIM - Gesture-Based Smartwatch Text Entry: Design, Evaluation, and Future Applications

description: Gesture-Based Smartwatch Text Entry: Design, Evaluation, and Future Applications
DOI: 10.6084/m9.figshare.29923760.v1
title: iJIM - Gesture-Based Smartwatch Text Entry: Design, Evaluation, and Future Applications

description: Gesture-Based Smartwatch Text Entry: Design, Evaluation, and Future Applications
DOI: 10.15468/dl.dvpab4
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bahamas",
 "DatasetKey is Museum of Comparative Zoology, Harvard University",
 "Geometry POLYGON((-75.14046 23.79287,-75.06109 23.79287,-75.06109 23.84872,-75.14046 23.84872,-75.14046 23.79287))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 217 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067937-251120083545085/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/14325030
title: Indonesian Hoax News Dataset
DOI: 10.17909/fsze-3q48
title: Ubiquitous CO Faintness and the Prevalence of CO-dark Gas in Green Pea Galaxies

description: GALEX image for selected Green Pea galaxies.
DOI: 10.15468/dl.nun5cp
title: Occurrence Download

description: A dataset containing 3922740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 }
 ]
}

 The dataset includes 3922740 records from 1831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067931-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgkua3
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Puerto Rico",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030435-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0205135.10fu
title: SH0205135.10FU

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/sh0205136.10fu
title: SH0205136.10FU

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/sh0205137.10fu
title: SH0205137.10FU

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/sh0205138.10fu
title: SH0205138.10FU

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/sh0205139.10fu
title: SH0205139.10FU

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/sh0205140.10fu
title: SH0205140.10FU

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/sh0205141.10fu
title: SH0205141.10FU

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/sh0205142.10fu
title: SH0205142.10FU

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.