cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15212284
title: Poesia de Combate, Nouvelle Somme de Poésie du Monde Noir, Black Orpheus: Lusophone African Literatures and their Networks

description: A dataset on Portuguese language materials in literary magazines circulating in the global south.
DOI: 10.17632/rh9nsw8pyt
title: Reissner Parker Dataset 1

description: This dataset contains all raw data files (Graphpad Prizm) used to create Figures for Experiments describing the effects of high dose acetaminophen on Sprague Dawley Rats. Experiments were conducted at the University of North Carolina, Chapel Hill (Reissner Laboratory) from 2022 to 2025. 
Experiments involved exposing neonatal laboratory rats to varying concentrations of acetaminophen (APAP), and monitoring weight gain and play behavior. The manuscript describing the methods, results and purpose of the experiment was submitted for publication April 11, 2025.
DOI: 10.17632/rh9nsw8pyt.1
title: Reissner Parker Dataset 1

description: This dataset contains all raw data files (Graphpad Prizm) used to create Figures for Experiments describing the effects of high dose acetaminophen on Sprague Dawley Rats. Experiments were conducted at the University of North Carolina, Chapel Hill (Reissner Laboratory) from 2022 to 2025. 
Experiments involved exposing neonatal laboratory rats to varying concentrations of acetaminophen (APAP), and monitoring weight gain and play behavior. The manuscript describing the methods, results and purpose of the experiment was submitted for publication April 11, 2025.
DOI: 10.5281/zenodo.7824871
title: Historical and modelled renewable energy production for India

description: This archive contains all the datasets produced for the paper:Hunt, K. M. R., & Bloomfield, H. C. (2024). Quantifying renewable energy potential and realized capacity in India: Opportunities and challenges. Meteorological Applications, 31(3), e2196. https://doi.org/10.1002/met.2196

 




Data Description 
Figure/Table
 File Name
Dates Valid


Installed capacity by type in each state
Table 1
installed-by-state-oct2022.csv
Oct 2022


All-India installed capacity by type
Figure 2
tabulated-installed-by-date.csv
2017–2023


Hourly wind capacity factor
Figure 4
wind capacity factor.zip
1979–2022


Hourly solar capacity factor
Figure 6
solar capacity factor.zip 
1979–2022


Present-day installation locations
Figure 11
OSM[hydropower,wind_turbine,solar]_ installations.geojson
Mar 2022


Gridded 1°×1° estimate of installed wind/solar capacity
Figure 12a/13a
CEA_1x1_gridded_installed_[wind,solar]_cap.nc
May 2021


Gridded 1°×1° estimate of installed wind capacity
Figure 12b
TWP_1x1_gridded_installed_wind_cap.nc
May 2021


Gridded 1°×1° estimate of installed solar capacity
Figure 13b
K21_1x1_gridded installed solar cap.nc
Sep 2018


Reported daily wind/solar/hydro production
Figure 14/S3
POSOCO_reported_[wind,solar,hydro]_MU_ daily.csv
2012–2023


Modelled ‘historical’ production
Figure 14/16/S4a/b
modelled-historical-[daily,hourly]-renewable output.nc
1979–2022


Recommended locations for new wind/solar installations
Figure 17
areas-for-exploration.nc
--
DOI: 10.5281/zenodo.7824872
title: Historical and modelled renewable energy production for India

description: This archive contains all the datasets produced for the paper:Hunt, K. M. R., & Bloomfield, H. C. (2024). Quantifying renewable energy potential and realized capacity in India: Opportunities and challenges. Meteorological Applications, 31(3), e2196. https://doi.org/10.1002/met.2196

 




Data Description 
Figure/Table
 File Name
Dates Valid


Installed capacity by type in each state
Table 1
installed-by-state-oct2022.csv
Oct 2022


All-India installed capacity by type
Figure 2
tabulated-installed-by-date.csv
2017–2023


Hourly wind capacity factor
Figure 4
wind capacity factor.zip
1979–2022


Hourly solar capacity factor
Figure 6
solar capacity factor.zip 
1979–2022


Present-day installation locations
Figure 11
OSM[hydropower,wind_turbine,solar]_ installations.geojson
Mar 2022


Gridded 1°×1° estimate of installed wind/solar capacity
Figure 12a/13a
CEA_1x1_gridded_installed_[wind,solar]_cap.nc
May 2021


Gridded 1°×1° estimate of installed wind capacity
Figure 12b
TWP_1x1_gridded_installed_wind_cap.nc
May 2021


Gridded 1°×1° estimate of installed solar capacity
Figure 13b
K21_1x1_gridded installed solar cap.nc
Sep 2018


Reported daily wind/solar/hydro production
Figure 14/S3
POSOCO_reported_[wind,solar,hydro]_MU_ daily.csv
2012–2023


Modelled ‘historical’ production
Figure 14/16/S4a/b
modelled-historical-[daily,hourly]-renewable output.nc
1979–2022


Recommended locations for new wind/solar installations
Figure 17
areas-for-exploration.nc
--
DOI: 10.17632/9mbv8s9kgr.1
title: Oncogenic Risk of Mycophenolate Mofetil Use in Dermatology Versus Transplant Groups

description: The number of malignant cases that developed after taking MMF for at least 5 years among dermatologic conditions versus transplant patients. The transplant group had statistically higher malignancy cases compared to the dermatologic conditions group (p&lt;0.0001).
DOI: 10.15468/dl.gr34u6
title: Occurrence Download

description: A dataset containing 6053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Baronia brevicornis Salvin, 1893"
 ]
}

 The dataset includes 6053 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065778-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzx7tg
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Mangifera indica L."
 ]
}

 The dataset includes 431 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288937-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z59cvv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallinyi Rchb.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006765-240229165702484/datasets/export for details.
DOI: 10.15468/dl.jtozrf
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araucaria angustifolia (Bertol.) Kuntze",
 {
 "or" : [
 "Country is Brazil",
 "Country is Argentina",
 "Country is Paraguay",
 "Country is Chile",
 "Country is Uruguay"
 ]
 },
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 615 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010171-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buhert
title: Occurrence Download

description: A dataset containing 1799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.06308918639547",
 "DecimalLongitude is less than 8.06614873957986",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1799 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006761-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc76jg
title: Occurrence Download

description: A dataset containing 913 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Guatemala",
 "Country is Belize",
 "Country is Honduras",
 "Country is El Salvador"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Icterus maculialatus Cassin, 1848",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 913 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080859-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vks4uq
title: Occurrence Download

description: A dataset containing 2393 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Belize"
 ]
 },
 "TaxonKey is Heteromys gaumeri J.A.Allen & Chapman, 1897"
 ]
}

 The dataset includes 2393 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012545-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2dbbt
title: Occurrence Download

description: A dataset containing 171556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene latifolia Poir.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 171556 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006782-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v5rbz
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthemis kotschyana Boiss."
 ]
}

 The dataset includes 165 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006781-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3khwdm
title: Occurrence Download

description: A dataset containing 1240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.725 53.275,6.775 53.275,6.775 53.325,6.725 53.325,6.725 53.275))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1240 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307811-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8fwaa
title: Occurrence Download

description: A dataset containing 15989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Victorian Biodiversity Atlas",
 "HasCoordinate is true",
 "TaxonKey is Acacia melanoxylon R.Br.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15989 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012560-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twmqxg
title: Occurrence Download

description: A dataset containing 131839899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 131839899 records from 4238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020365-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0973824.10fu
title: SH0973824.10FU

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/sh0973825.10fu
title: SH0973825.10FU

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/sh0973826.10fu
title: SH0973826.10FU

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/sh0973827.10fu
title: SH0973827.10FU

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: 10.5281/zenodo.13614515
title: Cancer related variants list

description: We created a set of 71021 protein altering variants related to cancer.The list can be used to annotate or prioritize any mutation lists from Human sequencing experiment.

Methods:

We selected variants from COSMICv94 (GRCh38) where CNT > 2 excluding those flagged as SNP.The resulting dataset was further annotated using SNPEff (v5.1d) and Clinvar (20240325) using SnpSift (v5.1d).We filtered out all the 'Benign' and 'Likely_benign' as well as all the 'synomnimous_variants'.

FOR RESEARCH USE ONLY

COSMIC and Clinvar have usage policy restrictions.

https://cancer.sanger.ac.uk/cosmic/licensehttps://www.ncbi.nlm.nih.gov/clinvar/docs/maintenance_use/
DOI: 10.15156/bio/sh0973828.10fu
title: SH0973828.10FU

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: 10.21227/m0ma-pm28
title: Monitoring O₂ Plasma Parameters with a Single Langmuir Probe and OES in a 6-Inch ICP Etcher

description: Maintaining etch uniformity from the center to the edge of the wafer during the etching process is a critical challenge. In particular, the edge of the wafer poses difficulties due to changes in the angle of ion incidence caused by the curvature of the sheath, making it challenging to achieve the desired etch pattern. Therefore, identifying and monitoring key factors that significantly impact center-to-edge uniformity is essential. In this paper, plasma diagnostics were conducted using Optical Emission Spectroscopy (OES), an optical diagnostic method, to analyze the bulk plasma, while the traditional diagnostic method of the Single Langmuir Probe was used to measure plasma parameters. OES was employed to monitor changes in the bulk plasma, and the Single Langmuir Probe was used to monitor plasma parameters such as electron density and electron temperature at different radial positions. Experiments were conducted in a 6-inch ICP-type etcher, with the top power varied from 150 to 250 W in increments of 25 W, using O₂ at a flow rate of 20 SCCM.
DOI: 10.15156/bio/sh0973829.10fu
title: SH0973829.10FU

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/sh0973830.10fu
title: SH0973830.10FU

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/sh0973831.10fu
title: SH0973831.10FU

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.