cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yzxgg5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydoras lamberti",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008987-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtggvh
title: Occurrence Download

description: A dataset containing 13371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 13371 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008986-260208012135463/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.31316443
title: The Chum Salmon Metagenome and Genome Data_SUBRATA

description: This research is about elucidating the functional complementation between chum salmon gut metagenome and genome by analyzing module completion ratio (MCR) in Genomaple system.
DOI: 10.6084/m9.figshare.31316443.v1
title: The Chum Salmon Metagenome and Genome Data_SUBRATA

description: This research is about elucidating the functional complementation between chum salmon gut metagenome and genome by analyzing module completion ratio (MCR) in Genomaple system.
DOI: 10.15468/dl.ugc893
title: Occurrence Download

description: A dataset listing the 1067 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 1067 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008966-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10419064
title: Pl@ntNet-300K-v2 image dataset

description: Pl@ntNet-300K-v2 is an image dataset designed for evaluating set-valued classification methods. It is derived from the Pl@ntNet citizen observatory database and comprises 306,087 images spanning 1,000 plant species.The new version provides improved images resolution and better naming for the species.

Key Features

The dataset reflects two notable characteristics, intrinsic to both the image acquisition process and the morphological diversity of plants:



Strong class imbalance: A few species account for the majority of images.

Visual similarity: Many species are visually indistinguishable, posing challenges even for expert identification.


These attributes make Pl@ntNet-300K-v2 particularly suited for benchmarking set-valued classification approaches.

Dataset Structure

Image Organization

Images are partitioned into train, test, and val sets, stored in directories labeled 0000 to 0999.

Metadata Files

1. plantnet300K_metadata.csv

Contains 306,087 image entries, each with the following fields:




Field
Description




species_id
Numerical species index (0–999)


PN_observation_id
Unique Pl@ntNet observation identifier


organ
Plant organ in the image (leaf, flower, other, habit, fruit, etc.)


author
Photographer’s identity


license
Image license type (cc-by-sa, cc-by-nc, cc-by-nc-sa)


split
Dataset partition (train, test, val)


PN_hash
Image hash name




2. species_metadata.csv

Provides taxonomic and conservation details for each species (aligned with the World Checklist of Vascular Plants, v13):




Field
Description




species_id
Numerical species index (matches image directories)


full_species
Full species name (with author)


species
Species name (without author)


genus
Genus name


family
Family name


epithet
Species epithet


author
Species name author(s)


unmatched_terms
Unresolved terms (e.g., spp., f.)


iucn_status
IUCN conservation status (e.g., EX, CR, EN, VU, LC, DD, NE)




Resources

Scientific Publication

The dataset and baseline results are described in:

Garcin et al. (2021), NeurIPS Datasets and Benchmarks

Utilities

PyTorch tools for data loading and model training:

GitHub Repository

Citation

If you use this dataset, please cite the following publication:

@inproceedings{Garcin_Joly_Bonnet_Affouard_Lombardo_Chouet_Servajean_Lorieul_Salmon2021,
  author    = {Garcin, C. and Joly, A. and Bonnet, P. and Affouard, A. and Lombardo, J.-C. and Chouet, M. and Servajean, M. and Lorieul, T. and Salmon, J.},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
  pdf       = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/7e7757b1e12abcb736ab9a754ffb617a-Paper-round2.pdf},
  title     = {Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution},
  year      = {2021},
  comment   = {[<a href="https://github.com/plantnet/PlantNet-300K">Code</a>]}
}
DOI: 10.5281/zenodo.4726652
title: Pl@ntNet-300K-v2 image dataset

description: Pl@ntNet-300K-v2 is an image dataset designed for evaluating set-valued classification methods. It is derived from the Pl@ntNet citizen observatory database and comprises 306,087 images spanning 1,000 plant species.The new version provides improved images resolution and better naming for the species.

Key Features

The dataset reflects two notable characteristics, intrinsic to both the image acquisition process and the morphological diversity of plants:



Strong class imbalance: A few species account for the majority of images.

Visual similarity: Many species are visually indistinguishable, posing challenges even for expert identification.


These attributes make Pl@ntNet-300K-v2 particularly suited for benchmarking set-valued classification approaches.

Dataset Structure

Image Organization

Images are partitioned into train, test, and val sets, stored in directories labeled 0000 to 0999.

Metadata Files

1. plantnet300K_metadata.csv

Contains 306,087 image entries, each with the following fields:




Field
Description




species_id
Numerical species index (0–999)


PN_observation_id
Unique Pl@ntNet observation identifier


organ
Plant organ in the image (leaf, flower, other, habit, fruit, etc.)


author
Photographer’s identity


license
Image license type (cc-by-sa, cc-by-nc, cc-by-nc-sa)


split
Dataset partition (train, test, val)


PN_hash
Image hash name




2. species_metadata.csv

Provides taxonomic and conservation details for each species (aligned with the World Checklist of Vascular Plants, v13):




Field
Description




species_id
Numerical species index (matches image directories)


full_species
Full species name (with author)


species
Species name (without author)


genus
Genus name


family
Family name


epithet
Species epithet


author
Species name author(s)


unmatched_terms
Unresolved terms (e.g., spp., f.)


iucn_status
IUCN conservation status (e.g., EX, CR, EN, VU, LC, DD, NE)




Resources

Scientific Publication

The dataset and baseline results are described in:

Garcin et al. (2021), NeurIPS Datasets and Benchmarks

Utilities

PyTorch tools for data loading and model training:

GitHub Repository

Citation

If you use this dataset, please cite the following publication:

@inproceedings{Garcin_Joly_Bonnet_Affouard_Lombardo_Chouet_Servajean_Lorieul_Salmon2021,
  author    = {Garcin, C. and Joly, A. and Bonnet, P. and Affouard, A. and Lombardo, J.-C. and Chouet, M. and Servajean, M. and Lorieul, T. and Salmon, J.},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
  pdf       = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/7e7757b1e12abcb736ab9a754ffb617a-Paper-round2.pdf},
  title     = {Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution},
  year      = {2021},
  comment   = {[<a href="https://github.com/plantnet/PlantNet-300K">Code</a>]}
}
DOI: 10.15468/dl.vjjdee
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vellozia lilacina",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 17 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008989-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5grdnk
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trevesia palmata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 307 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008991-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4akpc
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Fossil, Specimen, Material citation, Material sample, Observation, Human Observation, Machine Observation)",
 "Country is one of (Nepal, India, Bhutan, Pakistan, Bangladesh)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amaranthus lividus, Amaranthus hybridus)"
 ]
}

 The dataset includes 263 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008992-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xup3jg
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catasetum discolor",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 217 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008990-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v545nw
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydoras latus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008993-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/r63a-ay51
title: Interball Tail 6-sec magnetic field data

description:  Magnetic field measurements on-board the Interball 1 probe are carried out by the FM-3I and MFI (FGM-I) instruments. Data presented here are the combination of the data of all magnetometers. First, all FM-3I M1 data are used, if they are absent, the MFI data are used, and if data from both magnetometer are absent, FM-3I M2 data presented. The FM-3 M1 and MFI data are averaged over 6-second time intervals.
DOI: 10.48322/gdjv-sn12
title: Interface Region Imaging Spectrograph (IRIS) Level 1 Data

description: This data set contains Level 1 images and spectra from the Interface Region Imaging Spectrograph (IRIS).

RIRIS records spectra in the near-ultraviolet band (NUV) from 278.3 nm to 283.4 nm and in the far-ultraviolet bands from 133.2 nm to 135.8 nm (FUV 1) and 138.9 nm to 140.7 nm (FUV 2). The spectra are obtained every 0.5 s to 60 s along a slit (1/3" wide). IRIS detects solar material at temperatures from 5,000 K to 10 million K. IRIS slit-jaw images (SJI) are taken every 0.5 s to 60 s using filters centered at Mg II k 279.6 nm (SJI 2796), the far Mg II h wing at 283.2 nm (SJI 2832), C II at 133 nm (SJI 1330), and Si IV at 140 nm (SJI 1400). In this way, IRIS provides images of solar features as small as 240 km (150 miles) and allows inference of how much material is present at specific velocities, temperatures and densities. These data can then be used to probe the photosphere, the chromosphere, and the transition region and thus to study energetic and dynamic properties of material throughout the solar atmosphere.

The Level 1 data are derived from Level 0 files and is used to create the Standard Science Product (science-ready Level 2 data). The Level 1 data is identical to level 0 data except that it is rotated and flipped so that north is up in the images and the wavelength and x coordinate increase to right. This data level product consists of series for FUV1, FUV2, and NUV spectral data, and slit-jaw images with appropriate Level 1 keywords.
DOI: 10.48322/k079-z133
title: IRIS Calibrated Images and Spectra Data

description: This data set contains calibrated level-2 images and spectra data from the Interface Region Imaging Spectrograph (IRIS). 

UV images from IRIS telescope record observations of features as small
as 240 km (150 miles) on the sun every five to ten seconds at specific
temperatures, ranging from 5,000 K to 120,000 K (and up to 10 million
K during solar flares). This range allows observations of material
moving between the surface of the sun, called the photosphere, and in
the lowermost layers of the atmosphere, called the chromosphere and
transition region.

Spectra are obtained every two to thirty seconds along a slit (1/3
arcsec wide) of solar material at temperatures from 5,000 K to 10
million K, providing information on exactly how much light is visible
from any specific wavelength.  This corresponds to how much material
is present at specific velociites, temperatures and densities.

The level-2 data is corrected for dark current, flat-field, and
geometric deformation, scaled to the same plate-scale, and packaged
into timeseries of slitjaw images and spectral raster scans.
DOI: 10.48322/vdm3-4236
title: Polar Cap (PC), Northern and Southern Hemisphere Activity Indices, 5 min Data

description: The PC Index is an Empirical Magnetic Activity Index based on Data from Single Near-Pole Station, Thule for the Northern Hemisphere and Vostok for the Southern Hemisphere, respectively). Its Derivation Procedure is optimized to achieve the Best Correlation of PC Index with the Solar Wind Electric Field, SWEF, Magnitude quantified by v*B*sin((theta/2)^2). The Average Horizontal Magnetic Disturbance Vector, Quiet Value subtracted, is projected onto the Optimal Direction, which is defined empirically for each UT Hour and each Season based on the Best COrrelation with the SWEF. After Normalization to the Equivalent Value of the SWEF, the PC Index is expressed in Units of mV/m. Although the PC Index is formally expressed in mV/m, it actually represents the Measure of Magnetic Activity, the Normalization Procedure to SWEF helps to reduce Seasonal and Diurnal Effects to facilitate the Intercomparison. The Time Resolution of the Northern Cap PC Index is 5 min while it is 15 min form the Southern PC Index. However, one Time SCale with a 5 min Step is used for both Indices and each 15 min averaged Value of southern index is, hence, repeated three Times. References: 1. Troshichev, O.A., et al., Planet. Space Sci., 36, 1095, 1988, 2. Vennerstrom, S., et al., Report UAG-103, World Data Center A for STP, Boulder, April 1994.
DOI: 10.5281/zenodo.18610066
title: Cartesian coordinates collected from the morphometry of the right forewings, heads, and right pollen basket of Apis mellifera worker bees.
DOI: 10.5281/zenodo.18610065
title: Cartesian coordinates collected from the morphometry of the right forewings, heads, and right pollen basket of Apis mellifera worker bees.
DOI: 10.5281/zenodo.18537512
title: The Used-Gear Market as an Organological Observatory
DOI: 10.5281/zenodo.18537511
title: The Used-Gear Market as an Organological Observatory
DOI: 10.6084/m9.figshare.28369766
title: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish invasions"

description: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish establishment"
DOI: 10.5281/zenodo.18612318
title: EFFECTIVENESS OF ACUPUNCTURE IN RHEUMATOID ARTHRITIS REHABILITATION

description: The effectiveness of acupuncture in rheumatoid arthritis (RA) rehabilitation is the focus of this study, which provides a detailed and in-depth analysis of the pathogenesis, clinical manifestations, epidemiology, diagnosis, etiology, risk factors, laboratory and instrumental analyses, as well as management and prevention strategies of RA. The research examines the efficacy of acupuncture interventions in reducing pain, improving joint mobility, decreasing inflammation markers, and enhancing quality of life in RA patients, as well as acupuncture-related side effects, combined use with adjunct therapies (eg, medications, physiotherapy, exercise, and nutrition), including integration with biological agents and immunosuppressants. Findings indicate that acupuncture in RA rehabilitation can reduce pain by 30-50%, improve joint functions by 20-40%, decrease inflammation markers (ESR and CRP) by 25-35%, and significantly increase patients' quality of life, contributing to long-term disease remission. The study proposes integrative approaches combining traditional medicine (acupuncture, herbal therapy) and modern methods (biologic therapy, physiotherapy) for RA rehabilitation, revealing novel strategies applicable in clinical practice, preventive programs, patient education, and future research. The relevance of this work is tied to the increasing RA cases amid pandemic and modern lifestyle changes (eg, reduced physical activity, dietary disruptions), impacting global healthcare systems, including economic burden and resource allocation.
DOI: 10.6084/m9.figshare.28369766.v10
title: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish invasions"

description: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish establishment"
DOI: 10.6084/m9.figshare.28369766.v11
title: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish invasions"

description: Data and R codes for Zhang et al. "Dark diversity framework reconciles Darwin’s naturalization conundrum for freshwater fish establishment"
DOI: 10.5281/zenodo.18612317
title: EFFECTIVENESS OF ACUPUNCTURE IN RHEUMATOID ARTHRITIS REHABILITATION

description: The effectiveness of acupuncture in rheumatoid arthritis (RA) rehabilitation is the focus of this study, which provides a detailed and in-depth analysis of the pathogenesis, clinical manifestations, epidemiology, diagnosis, etiology, risk factors, laboratory and instrumental analyses, as well as management and prevention strategies of RA. The research examines the efficacy of acupuncture interventions in reducing pain, improving joint mobility, decreasing inflammation markers, and enhancing quality of life in RA patients, as well as acupuncture-related side effects, combined use with adjunct therapies (eg, medications, physiotherapy, exercise, and nutrition), including integration with biological agents and immunosuppressants. Findings indicate that acupuncture in RA rehabilitation can reduce pain by 30-50%, improve joint functions by 20-40%, decrease inflammation markers (ESR and CRP) by 25-35%, and significantly increase patients' quality of life, contributing to long-term disease remission. The study proposes integrative approaches combining traditional medicine (acupuncture, herbal therapy) and modern methods (biologic therapy, physiotherapy) for RA rehabilitation, revealing novel strategies applicable in clinical practice, preventive programs, patient education, and future research. The relevance of this work is tied to the increasing RA cases amid pandemic and modern lifestyle changes (eg, reduced physical activity, dietary disruptions), impacting global healthcare systems, including economic burden and resource allocation.
DOI: 10.5281/zenodo.18612166
title: FragmentFlow: Reaction Dataset and Partial ReactOT Checkpoint

description: We provide the .pkl file for the LargeT1x dataset as well as the checkpoint for Partial ReactOT trained on the dataset with 6 random fragments per reaction.
DOI: 10.5281/zenodo.18612165
title: FragmentFlow: Reaction Dataset and Partial ReactOT Checkpoint

description: We provide the .pkl file for the LargeT1x dataset as well as the checkpoint for Partial ReactOT trained on the dataset with 6 random fragments per reaction.
DOI: 10.7910/dvn/gx8ogb
title: Replication Data for: Figures in Wintertime Stratospheric Circulation Response to Smoke Injection from a Regional Nuclear Conflict

description: Yook, Simchan, 2026, "Replication Data for: Figures in Wintertime Stratospheric Circulation Response to Smoke Injection from a Regional Nuclear Conflict"

Specifically, the uploaded NetCDF file contains the processed model output used to generate all figures in the manuscript, including the relevant atmospheric variables (e.g., zonal wind, temperature, heating rates, and derived diagnostics) for the analysis period described in the paper.
DOI: 10.5281/zenodo.18358651
title: Emotion metaphors in Gunwinyguan languages and around

description: Data set of emotion metaphors used for: 

Ponsonnet, Maïa, Bednall, James and O'Keeffe, Isable, submitted.  Heart is the new belly: A comparative study of body-based emotion metaphors across the Gunwinyguan region. In Arka, Waya, Barth, Danielle and Bergqvist, Henrik, Linguistic worlds and social minds: what language documentation and linguistic diversity can tell us about the nature and origin of language.
DOI: 10.5281/zenodo.18358650
title: Emotion metaphors in Gunwinyguan languages and around

description: Data set of emotion metaphors used for: 

Ponsonnet, Maïa, Bednall, James and O'Keeffe, Isable, submitted.  Heart is the new belly: A comparative study of body-based emotion metaphors across the Gunwinyguan region. In Arka, Waya, Barth, Danielle and Bergqvist, Henrik, Linguistic worlds and social minds: what language documentation and linguistic diversity can tell us about the nature and origin of language.
DOI: 10.5281/zenodo.15679492
title: Results for response and reliability-based optimization

description: Results for response and reliability-based optimization
DOI: 10.5281/zenodo.18611229
title: Results for response and reliability-based optimization

description: Results for response and reliability-based optimization
DOI: 10.15468/dl.2vfve2
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Collaea cipoensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 68 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008994-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.