cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wsm7qz
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Amaranthus blitum)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 464 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032694-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hwfzs
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hynobius nigrescens"
 ]
}

 The dataset includes 708 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032693-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ua5qu4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla orinocensis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032695-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17587300
title: Dataset for Ole and Matsumoto et al paper

description: Neural responses to chirp ('resp_chirp.mat'), slow motion ('resp_slow.mat'), and fast motion ('resp_fast.mat') stimuli.
DOI: 10.5281/zenodo.17587299
title: Dataset for Ole and Matsumoto et al paper

description: Neural responses to chirp ('resp_chirp.mat'), slow motion ('resp_slow.mat'), and fast motion ('resp_fast.mat') stimuli.
DOI: 10.5281/zenodo.17606570
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114h Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114h Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606571
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114h Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114h Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.4121/2c496d80-a107-43d6-aec4-c0792cad31e7
title: Supporting data for "3D FWI for subsoil density: considerations for the force direction of the seismic source"-Chapter 5

description: This dataset contains the supporting materials for Chapter 5 of Yusuke Kawasaki’s PhD project, which investigates appropriate source components for subsoil density estimation using 3D FWI. It includes preprocessed seismic data, input files for the FWI workflow, numerical investigation results (synthetic seismograms), inversion results (shear-wave velocity and density models), geotechnical measurements used to verify the FWI outcomes, and the associated codes for FWI and result visualization. The raw seismic data and their description are available at 10.4121/c0b73c25-4e3c-483b-856c-833dd8da2ad4, and the raw geotechnical data and their description are available at 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702. This dataset supports research aimed at demonstrating the advantages of using SH/Love-wave–dominated data and the simultaneous use of two cross-polarized horizontal-force sources to achieve reliable subsoil density estimation with FWI.
DOI: 10.4121/2c496d80-a107-43d6-aec4-c0792cad31e7.v1
title: Supporting data for "3D FWI for subsoil density: considerations for the force direction of the seismic source"-Chapter 5

description: This dataset contains the supporting materials for Chapter 5 of Yusuke Kawasaki’s PhD project, which investigates appropriate source components for subsoil density estimation using 3D FWI. It includes preprocessed seismic data, input files for the FWI workflow, numerical investigation results (synthetic seismograms), inversion results (shear-wave velocity and density models), geotechnical measurements used to verify the FWI outcomes, and the associated codes for FWI and result visualization. The raw seismic data and their description are available at 10.4121/c0b73c25-4e3c-483b-856c-833dd8da2ad4, and the raw geotechnical data and their description are available at 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702. This dataset supports research aimed at demonstrating the advantages of using SH/Love-wave–dominated data and the simultaneous use of two cross-polarized horizontal-force sources to achieve reliable subsoil density estimation with FWI.
DOI: 10.15468/dl.5hks25
title: Occurrence Download

description: A dataset containing 145468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus occidentalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 145468 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032653-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvxv82
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla piquiti",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032696-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17606467
title: UV wing patterns in saturniid moths: diversity and mechanisms

description: This dataset includes:



The raw spectral files (absorbance and reflectance) in folders "absorbance data" and "reflectance data".

The raw measurements of UV areas and UV intensities depicting in figures 3 and 4.

The summarized UV areas and UV intensities data used for statistics.

The raw measurements of the scale parameters: lower lamina thickness (.xlsx), ridge height (.xlsx), ridge ridge distance (.xlsx), and crossrib crossrib distance (.xlsx).

The areas in mm2 of the different UV-reflective wing regions in both sexes across the three species ("Figure S2_region areas.xlsx").
DOI: 10.5281/zenodo.17606466
title: UV wing patterns in saturniid moths: diversity and mechanisms

description: This dataset includes:



The raw spectral files (absorbance and reflectance) in folders "absorbance data" and "reflectance data".

The raw measurements of UV areas and UV intensities depicting in figures 3 and 4.

The summarized UV areas and UV intensities data used for statistics.

The raw measurements of the scale parameters: lower lamina thickness (.xlsx), ridge height (.xlsx), ridge ridge distance (.xlsx), and crossrib crossrib distance (.xlsx).

The areas in mm2 of the different UV-reflective wing regions in both sexes across the three species ("Figure S2_region areas.xlsx").
DOI: 10.4121/26d7e335-2989-42a9-8f7b-31393dfb09db
title: Supporting data for "3D FWI for subsoil density: test on synthetic data for different force directions of the seismic source"-Chapter 4 and GJI paper

description: This dataset contains the supporting materials for Chapter 4 of Yusuke Kawasaki’s PhD project and the corresponding journal article published in <em>GJI</em>, which present a synthetic investigation of 3D FWI for estimating subsoil density. It includes synthetic seismic data, input files for the FWI workflow, investigation results, and the associated codes for FWI and result visualization. This dataset supports research aimed at demonstrating the advantages of using a horizontal-force seismic source for achieving more reliable density estimation in 3D FWI, compared with the use of a conventional vertical-force source.
DOI: 10.4121/26d7e335-2989-42a9-8f7b-31393dfb09db.v1
title: Supporting data for "3D FWI for subsoil density: test on synthetic data for different force directions of the seismic source"-Chapter 4 and GJI paper

description: This dataset contains the supporting materials for Chapter 4 of Yusuke Kawasaki’s PhD project and the corresponding journal article published in <em>GJI</em>, which present a synthetic investigation of 3D FWI for estimating subsoil density. It includes synthetic seismic data, input files for the FWI workflow, investigation results, and the associated codes for FWI and result visualization. This dataset supports research aimed at demonstrating the advantages of using a horizontal-force seismic source for achieving more reliable density estimation in 3D FWI, compared with the use of a conventional vertical-force source.
DOI: 10.5281/zenodo.16879884
title: EFFECTS OF COPING STRATEGIES ON ACCULTURATION-BASED CONFLICT AND MENTAL HEALTH SYMPTOMS AMONG ASIAN AMERICAN YOUTHS

description: This dataset contains survey responses from 127 Asian American youths collected as part of a correlational study examining the relationship between acculturation-based parent-child conflict, coping strategies, and mental health symptoms (depression and anxiety).Data were collected through an online Google Forms survey on October 2025, after participants provided informed consent. The dataset includes responses on standardized psychological measures, demographic variables, and coping strategy inventories.

The data file is in IBM SPSS (.sav) format and includes labeled variables and value codes.Sensitive identifying information has been removed to ensure participant confidentiality.
DOI: 10.5281/zenodo.16879885
title: EFFECTS OF COPING STRATEGIES ON ACCULTURATION-BASED CONFLICT AND MENTAL HEALTH SYMPTOMS AMONG ASIAN AMERICAN YOUTHS

description: This dataset contains survey responses from 127 Asian American youths collected as part of a correlational study examining the relationship between acculturation-based parent-child conflict, coping strategies, and mental health symptoms (depression and anxiety).Data were collected through an online Google Forms survey on October 2025, after participants provided informed consent. The dataset includes responses on standardized psychological measures, demographic variables, and coping strategy inventories.

The data file is in IBM SPSS (.sav) format and includes labeled variables and value codes.Sensitive identifying information has been removed to ensure participant confidentiality.
DOI: 10.15468/dl.gthu9k
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphaea glandulifera"
 ]
}

 The dataset includes 101 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032698-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmsntf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla pleiozona",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032699-251025141854904/datasets/export for details.
DOI: 10.17909/at5s-qj50
title: Data from A Comparative Study of the Supernova Remnant Cassiopeia A from 2013--2020 Deep \fe+\si\ Image
DOI: 10.4121/c0b73c25-4e3c-483b-856c-833dd8da2ad4
title: 3Cx3C active seismic dataset in 3D configuration, acquired in Scheemda, Groningen province, the Netherlands

description: This dataset contains 3D seismic data with 3-component sesmic sources (vertical forces and two cross-polarized horizontal forces) and 3-component receivers (673x3=2028 receiver channels), acquired in Scheemda, Groningen province, the Netherlands. The electric linear-motor-system (LMS) vibrator of Seismic Mechatronics in vertical and horizontal modes was used as vertical- and horizontal-force sources, respectively. 3C geophone nodes (676x3 = 2028 receiver channels) are used in the data acquisition. This survey was mainly intended for imaging spatially varying subsoil density using a full-waveform inversion technique as part of Yusuke Kawasaki's PhD project.
DOI: 10.4121/c0b73c25-4e3c-483b-856c-833dd8da2ad4.v1
title: 3Cx3C active seismic dataset in 3D configuration, acquired in Scheemda, Groningen province, the Netherlands

description: This dataset contains 3D seismic data with 3-component sesmic sources (vertical forces and two cross-polarized horizontal forces) and 3-component receivers (673x3=2028 receiver channels), acquired in Scheemda, Groningen province, the Netherlands. The electric linear-motor-system (LMS) vibrator of Seismic Mechatronics in vertical and horizontal modes was used as vertical- and horizontal-force sources, respectively. 3C geophone nodes (676x3 = 2028 receiver channels) are used in the data acquisition. This survey was mainly intended for imaging spatially varying subsoil density using a full-waveform inversion technique as part of Yusuke Kawasaki's PhD project.
DOI: 10.13026/geme-rz43
title: MedVAL-Bench: Expert-Annotated Medical Text Validation Benchmark

description: MedVAL-Bench is a dataset containing physician evaluations of errors in
language model (LM)-generated medical text. The dataset spans 6 diverse
medical text generation tasks and includes annotations from 12 physicians on
clinically significant errors for 840 LM-generated outputs. These text-to-text
generation tasks involve transforming an input medical text into an output
relevant to a specific use case. Each task includes inputs and corresponding
LM-generated outputs, which are evaluated for factual consistency by
physicians. Importantly, the MedVAL framework and dataset are designed to rely
only on inputs for the evaluation process to allow working with datasets that
may not have reference outputs, ensuring broad applicability. The evaluation
process aims to determine whether the output is factually consistent with the
input and is safe for use. MedVAL-Bench constitutes the first large-scale
physician-validated benchmark with triage-style risk grading aligned to real-
world clinical decision-making, supporting the development of automated,
expert-aligned evaluation methods and facilitating research toward trustworthy
medical text generation.
DOI: 10.13026/653w-3038
title: MedVAL-Bench: Expert-Annotated Medical Text Validation Benchmark

description: MedVAL-Bench is a dataset containing physician evaluations of errors in
language model (LM)-generated medical text. The dataset spans 6 diverse
medical text generation tasks and includes annotations from 12 physicians on
clinically significant errors for 840 LM-generated outputs. These text-to-text
generation tasks involve transforming an input medical text into an output
relevant to a specific use case. Each task includes inputs and corresponding
LM-generated outputs, which are evaluated for factual consistency by
physicians. Importantly, the MedVAL framework and dataset are designed to rely
only on inputs for the evaluation process to allow working with datasets that
may not have reference outputs, ensuring broad applicability. The evaluation
process aims to determine whether the output is factually consistent with the
input and is safe for use. MedVAL-Bench constitutes the first large-scale
physician-validated benchmark with triage-style risk grading aligned to real-
world clinical decision-making, supporting the development of automated,
expert-aligned evaluation methods and facilitating research toward trustworthy
medical text generation.
DOI: 10.5281/zenodo.17606610
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114h Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114h Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17606611
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114h Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114h Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.4121/1abbb9c8-5f2a-41c3-abe9-6709218bce51
title: Supporting data for "Imaging subsoil density variability: specific considerations in 2D FWI"-Chapter 2

description: This dataset contains the supporting materials for Chapter 2 of Yusuke Kawasaki’s PhD project on the field application of 2D FWI for imaging subsoil density variability. It includes preprocessed seismic data, input files for the FWI workflow, inversion results (shear-wave velocity and density models), geotechnical measurements used to verify the FWI outcomes, and the associated codes for FWI and result visualization. The raw seismic data and their description are available at 10.4121/a8553b7e-82ae-4e9b-bc54-2a6b9ca6063c, and the raw geotechnical data and their description are available at 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702. The dataset supports research aimed at demonstrating key considerations for achieving reliable subsoil density estimation using FWI.
DOI: 10.4121/1abbb9c8-5f2a-41c3-abe9-6709218bce51.v1
title: Supporting data for "Imaging subsoil density variability: specific considerations in 2D FWI"-Chapter 2

description: This dataset contains the supporting materials for Chapter 2 of Yusuke Kawasaki’s PhD project on the field application of 2D FWI for imaging subsoil density variability. It includes preprocessed seismic data, input files for the FWI workflow, inversion results (shear-wave velocity and density models), geotechnical measurements used to verify the FWI outcomes, and the associated codes for FWI and result visualization. The raw seismic data and their description are available at 10.4121/a8553b7e-82ae-4e9b-bc54-2a6b9ca6063c, and the raw geotechnical data and their description are available at 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702. The dataset supports research aimed at demonstrating key considerations for achieving reliable subsoil density estimation using FWI.
DOI: 10.15468/dl.az4zmv
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla temensis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032700-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702
title: Geotechnical dataset, acquired in Scheemda, Groningen province, the Netherlands

description: This dataset contains geotechnical measurements collected in Scheemda, Groningen province, the Netherlands: cone penetration tests (CPTs), seismic cone penetration tests (SCPTs), soil samplings and laboratory experiments on them for measuring bulk density, and density logging performed along a-priori drilled boreholes. The geotechnical survey was conducted by the company, Fugro, in the summer of 2023. The dataset includes raw geotechnical data as well as survey reports provided by Fugro. This survey was mainly inteded for the verification of estimated shear-wave velocities and densities from full-waveform inversion, as part of Yusuke Kawasaki's PhD project.
DOI: 10.4121/c5036e17-938a-4b78-b223-d0ac8f65b702.v1
title: Geotechnical dataset, acquired in Scheemda, Groningen province, the Netherlands

description: This dataset contains geotechnical measurements collected in Scheemda, Groningen province, the Netherlands: cone penetration tests (CPTs), seismic cone penetration tests (SCPTs), soil samplings and laboratory experiments on them for measuring bulk density, and density logging performed along a-priori drilled boreholes. The geotechnical survey was conducted by the company, Fugro, in the summer of 2023. The dataset includes raw geotechnical data as well as survey reports provided by Fugro. This survey was mainly inteded for the verification of estimated shear-wave velocities and densities from full-waveform inversion, as part of Yusuke Kawasaki's PhD project.
DOI: 10.5281/zenodo.17606523
title: Nicotine_stainV1: A Benchmark Dataset for Finger Nicotine Stain Segmentation

description: Dataset Description

Nicotine_stainV1 is a novel benchmark dataset developed to support research on automated nicotine-stain segmentation from human fingertips. Due to the lack of publicly available datasets in this domain, Nicotine_stainV1 was constructed entirely from scratch.

The initial collection phase gathered over 300 raw fingertip images from diverse online sources, including Google Image Search and various social media platforms. To further increase the heterogeneity and robustness of the dataset, synthetic samples were generated using state-of-the-art vision-language generative models (Sora-2 and Nano-Banana). This acquisition strategy ensures broad coverage of variations in hand pose, illumination, background complexity, and skin tone.

All images were manually annotated at the pixel level using the Roboflow platform to produce high-quality segmentation masks that precisely delineate nicotine-stained regions. To mitigate overfitting and enhance generalization, extensive data augmentation was applied, including rotations (90° and random angles between −15° and +15°), shearing (±10%), and photometric adjustments (±15% brightness).

The final dataset contains 743 image-mask pairs. The dataset is organized into training, validation, and testing splits following an 80/10/10 stratified sampling strategy to preserve class balance across all partitions.

Folder structure:

dataset/    train/        images/        masks/    valid/        images/        masks/ Nicotine_stainV1 represents the first publicly released dataset dedicated to nicotine-stain segmentation and aims to facilitate reproducible research in clinical imaging, digital dermatology, and computational health monitoring.