cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qb8krh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC0642"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010572-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sxjn3
title: Occurrence Download

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

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010571-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qap37h
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gambusia holbrooki",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010570-250711103210423/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.29554646.v1
title: Retraction Taxonomy v2.0

description: This work refines the classification of retractions into distinct categories and subcategories to allow easier distinction on the reasons for retractions (Flawed Research, Serious Alterations, Author Integrity, System Level, and Supplemental Information). Special thanks to Achal Agrawal at Indian Research Watch, who gave valuable feedback on this version.
DOI: 10.6084/m9.figshare.28656626
title: I002C_Maternal_v0.7

description: latest version of the assembly
DOI: 10.6084/m9.figshare.28656626.v3
title: I002C_Maternal_v0.7

description: latest version of the assembly
DOI: 10.6084/m9.figshare.28656626.v2
title: I002C_Maternal_v0.7

description: latest version of the assembly
DOI: 10.15468/dl.tn2kq2
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo trutta",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010574-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8cb8484b-dbe7-4750-8b87-a5b1dbc621b4.v2
title: Dataset for EUROCONTROL PRC 2024 Data Challenge on Aircraft Take-off Weight Estimation

description: This dataset was created for the EUROCONTROL Performance Review Commission (PRC) Data Challenge 2024, which aimed to engage data scientists and aviation enthusiasts in developing open models to estimate aircraft take-off weight from readily available open data sources.<br><br><strong>Overview</strong>---The dataset represents a unique collection of otherwise difficult-to-obtain flight information, combining:- Flight information (origin/destination, take-off/landing times, aircraft type)- ADS-B trajectory data from OpenSky- Actual take-off weight data from airlines<br>This dataset contains 527,162 flights flown throughout Europe in 2022, representing 6.1% of all flights in EUROCONTROL airspace.<br><br><strong>DOI for the data repository</strong>---https://doi.org/10.4121/8cb8484b-dbe7-4750-8b87-a5b1dbc621b4<br><br><strong>Background</strong>---Aircraft take-off weight (ATOW) is a critical parameter for modeling fuel consumption and estimating aviation emissions. This dataset enables the development of open models to predict ATOW from publicly available flight data.<br><br><strong>Citation</strong>---If you use data from this repository, please cite this dataset and also the following paper:<br><strong>Aircraft Take-off Weight Estimation: The EUROCONTROL PRC 2024 Data Challenge</strong>Enrico Spinielli; Junzi Sun; Martin Strohmeier; Xavier Olive; Quinten Goens; Rainer Koelle; Allan Tart; John FitzgeraldJournal of Open Aviation Science, 2025https://doi.org/10.59490/joas.2025.8252<br><br><strong>Dataset composition</strong>---The dataset consists of two main components:<br>1. Actual Take-off Weight (ATOW) Data- Source: EUROCONTROL's Network Manager augmented with airline-provided take-off weight data- Airline information is anonymized with agreements for open data sharing- Total: 527,162 flights with complete weight information<br>2. Trajectory Data- Source: OpenSky Network ADS-B state vectors- Enhanced with meteorological data from Copernicus ERA5 via the fastmeto library- Time window: 5 minutes before actual off-block time to 30 minutes after arrival<br>
DOI: 10.15468/dl.sp4jeh
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((112.07521 -1.64518,113.21171 -1.66478,113.13505 -0.69434,112.1107 -0.64558,112.07521 -1.64518))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 14 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010553-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azqn3k
title: Occurrence Download

description: A dataset listing the 596 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Yunnan, Guizhou, Guangxi)",
 "TaxonKey is one of (Cypriniformes, Perciformes, Beloniformes, Siluriformes, Synbranchiformes, Anguilliformes)"
 ]
}

 The dataset's 596 records were derived from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010557-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ce7c37
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC0641"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010576-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uvadv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caulerpa racemosa",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010579-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh3z9n
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zoysia sinica"
 ]
}

 The dataset includes 62 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010577-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3hjsx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010578-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk2b3u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caulerpa racemosa",
 "Country is Monaco",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010580-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15877948
title: Fabrication of Hydrogel Mini-Capsules as Carrier Systems - Underlying data

description: This dataset contains the Underlying Data to the paper "Fabrication of Hydrogel Mini-Capsules as Carrier Systems".



images (folder containing the set of images used for the data analysis)

microscopy_measurments.csv (measurements acquired with the microscope software)

Software_ThicknessAnalysis.jl (main script for reproducing the data analysis)

Functions_ThicknessAnalysis.jl (collection of functions for the data analysis)

Manifest.toml and Project.toml (computational environment files)

_init_.jl (utility script for reproducing the computational environment)

README.md
DOI: 10.5281/zenodo.8200188
title: Fabrication of Hydrogel Mini-Capsules as Carrier Systems - Underlying data

description: This dataset contains the Underlying Data to the paper "Fabrication of Hydrogel Mini-Capsules as Carrier Systems".



images (folder containing the set of images used for the data analysis)

microscopy_measurments.csv (measurements acquired with the microscope software)

Software_ThicknessAnalysis.jl (main script for reproducing the data analysis)

Functions_ThicknessAnalysis.jl (collection of functions for the data analysis)

Manifest.toml and Project.toml (computational environment files)

_init_.jl (utility script for reproducing the computational environment)

README.md
DOI: 10.5281/zenodo.15370406
title: Volatile-rich evolution of molten super-Earth L 98-59 d (simulations and code)

description: Includes simulation data and plots produced by PROTEUS for our paper on the evolution of super-Earth L 98-59 d.

Summary of content is given in the table below.




Archive file
Content


l98d_main
Distilled data from main grid of 900 simulations. Including atmosphere/interior profiles results in too much data for upload (>250 GB) so this just includes the most important information. These are CSV files (created by Pandas) which tabulate scalar quanities over time (e.g. Tsurf, Psurf, OLR, Radius) for each simulation. Also log and config files.


l98d_chemstudy
Case study of atmospheric chemistry with VULCAN from one of the simulation grid points. Includes full data.


l98d_sens_bands
Grid of 3 simulations testing sensitivity to spectral bands. Includes full data.


l98d_sens_corefrac
Grid of 25 testing sensitivity to corefraction. Includes full data.


l98d_sens_eccentric
Grid of 25 testing sensitivity to eccentricity. Includes full data.


l98d_sens_escape
Grid of 25 testing sensitivity to escape efficiency. Includes full data.




Other zip files contain archived versions of the simulation codes.
DOI: 10.15468/dl.cupw6j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010581-250711103210423/datasets/export for details.
DOI: 10.6084/m9.figshare.29558126
title: Adult SRMH Dataset_14.07

description: This dataset has been collected focusing on adults within the Sexual, Reproductive, and Mental Health (SRMH) domain. The goal is to develop a Bengali conversational agent that addresses the knowledge gaps among adult populations regarding these topics, thereby bridging information divides and fostering greater understanding. The dataset is organized into three main areas: Sexual Health, Reproductive Health, and Mental Health.Here, Sexual Health consists of 228 topics with a total of 1490 blocks, Reproductive Health consists of 257 topics with a total of 2384 blocks, and Mental Health consists of 405 topics with a total of 3509 blocks. Furthermore, the domain data distribution consists of Sexual Health, Reproductive Health, and Mental Health comprising 25.6%, 28.9%, and 45.5% of the topic data, respectively. The dataset is created to act as a knowledge base for a conversational agent. However, it can also be used for fine-tuning.
DOI: 10.6084/m9.figshare.29558126.v1
title: Adult SRMH Dataset_14.07

description: This dataset has been collected focusing on adults within the Sexual, Reproductive, and Mental Health (SRMH) domain. The goal is to develop a Bengali conversational agent that addresses the knowledge gaps among adult populations regarding these topics, thereby bridging information divides and fostering greater understanding. The dataset is organized into three main areas: Sexual Health, Reproductive Health, and Mental Health.Here, Sexual Health consists of 228 topics with a total of 1490 blocks, Reproductive Health consists of 257 topics with a total of 2384 blocks, and Mental Health consists of 405 topics with a total of 3509 blocks. Furthermore, the domain data distribution consists of Sexual Health, Reproductive Health, and Mental Health comprising 25.6%, 28.9%, and 45.5% of the topic data, respectively. The dataset is created to act as a knowledge base for a conversational agent. However, it can also be used for fine-tuning.
DOI: 10.15468/dl.xgvh58
title: Occurrence Download

description: A dataset listing the 1389 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.91078 45.21852,28.87516 45.13762,29.76163 45.11249,29.76163 45.18785,28.91078 45.21852))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1389 records were derived from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010541-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb3a4x
title: Occurrence Download

description: A dataset containing 2247 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7705930 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7705930 OR CAST(occurrence.kingdomkey AS INTEGER) = 7705930 OR CAST(occurrence.phylumkey AS INTEGER) = 7705930 OR CAST(occurrence.classkey AS INTEGER) = 7705930 OR CAST(occurrence.orderkey AS INTEGER) = 7705930 OR CAST(occurrence.familykey AS INTEGER) = 7705930 OR CAST(occurrence.genuskey AS INTEGER) = 7705930 OR CAST(occurrence.specieskey AS INTEGER) = 7705930)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 2247 records were derived from 2807 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010542-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1229307.10fu
title: SH1229307.10FU

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/sh1229308.10fu
title: SH1229308.10FU

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/sh1229309.10fu
title: SH1229309.10FU

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/sh1229312.10fu
title: SH1229312.10FU

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/sh1229317.10fu
title: SH1229317.10FU

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/sh1229318.10fu
title: SH1229318.10FU

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.