cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xk7qax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tragulus napu (F.Cuvier, 1822))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016155-250525065834625/datasets/export for details.
DOI: 10.15468/dl.yvrb7f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tragulus napu (F.Cuvier, 1822))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016157-250525065834625/datasets/export for details.
DOI: 10.15468/dl.7af4eh
title: Occurrence Download

description: A dataset containing 184214396 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
}

 The dataset includes 184214396 records from 2700 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001575-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfqcbd
title: Occurrence Download

description: A dataset containing 291955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((139.14446 42.77138,169.70854 42.77138,169.70854 62.20776,139.14446 62.20776,139.14446 42.77138))"
 ]
}

 The dataset includes 291955 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033414-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/6a0fa12f-9127-4034-bf09-938df2bfb227
title: Opinions and Views of the Population of Ukraine: February-March 2025 (KIIS Omnibus 2025/02-03)
DOI: 10.7910/dvn/nyzd8z
title: Replication Data for: Tariffs as Environmental Protection: Evidence from the Global South after the China garbage shock

description: Replication files for figures and output in manuscript and appendix. Please feel free to contact with any questions.
DOI: 10.5281/zenodo.17610595
title: Opinions and Views of the Population of Ukraine: February-March 2025 (KIIS Omnibus 2025/02-03) – Data from a nationwide public opinion poll conducted by KIIS in February-March 2025

description: "Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in February-March 2025 and includes KIIS's own research questions.
Topics covered by the survey include: readiness for concessions for peace; acceptability of specific hypothetical scenarios for the end of the war; views on Western support for Ukraine in the context of the ongoing Russo-Ukrainian war; sources of information; perceptions of the war between Russia and Ukraine; the potential impact of Donald Trump's election as President of the United States on the conflict in Ukraine; trust in Volodymyr Zelenskyy; perceptions of fairness of punishment for corruption cases; attitudes toward teaching Russian in Ukrainian-language schools; attitudes toward Artificial Intelligence (AI).
Data collection took place from February 14 to March 4, 2025.
The survey included 2,029 respondents overall, while some questions were asked of a sub-sample of 1,029.
The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook).
The Data Documentation includes a short overview and discussion of survey results (with frequency tables in Annex 1) as well as the relevant parts of the original questionnaire (Annex 2).
description: Published on Discuss Data, https://discuss-data.net/dataset/6a0fa12f-9127-4034-bf09-938df2bfb227/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.5281/zenodo.17610596
title: Opinions and Views of the Population of Ukraine: February-March 2025 (KIIS Omnibus 2025/02-03) – Data from a nationwide public opinion poll conducted by KIIS in February-March 2025

description: "Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in February-March 2025 and includes KIIS's own research questions.
Topics covered by the survey include: readiness for concessions for peace; acceptability of specific hypothetical scenarios for the end of the war; views on Western support for Ukraine in the context of the ongoing Russo-Ukrainian war; sources of information; perceptions of the war between Russia and Ukraine; the potential impact of Donald Trump's election as President of the United States on the conflict in Ukraine; trust in Volodymyr Zelenskyy; perceptions of fairness of punishment for corruption cases; attitudes toward teaching Russian in Ukrainian-language schools; attitudes toward Artificial Intelligence (AI).
Data collection took place from February 14 to March 4, 2025.
The survey included 2,029 respondents overall, while some questions were asked of a sub-sample of 1,029.
The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook).
The Data Documentation includes a short overview and discussion of survey results (with frequency tables in Annex 1) as well as the relevant parts of the original questionnaire (Annex 2).
description: Published on Discuss Data, https://discuss-data.net/dataset/6a0fa12f-9127-4034-bf09-938df2bfb227/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.15468/dl.ruzbtu
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrciaria ciliolata",
 "Year 1970-2025"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033449-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4v5nj
title: Occurrence Download

description: A dataset containing 2739 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plebeia frontalis"
 ]
}

 The dataset includes 2739 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033450-251025141854904/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.30179578
title: Paper Files – Data and Code Repository for Oyster Castle Experiments (Hydrodynamics, Sediment Transport, and 3D Roughness)

description: This repository contains the <b>complete “Paper Files” folder</b> submitted alongside the manuscript on oyster castles as a nature-based coastal protection strategy. The folder includes hydrodynamics, suspended sediment concentration (SSC), and bed shear stress datasets, along with the Python codes required to visualize and reproduce the figures.<b>Contents:</b><b>Hydrodynamics</b>: Phase-averaged velocity fields (u, w), Reynolds stresses (u′w′), and turbulent kinetic energy (TKE), provided as <code>.npz</code> files.<b>Suspended Sediment Concentration (SSC)</b>: Bundled <code>.npz</code> + memmap sidecars, plus quick-view (videos) tools for SSC evolution.<b>Bed Shear Stresses</b>: Extracted maximum shear stress distributions for bare vs populated and low vs high energy cases.<b>3D Roughness Scan</b>: Preprocessed oyster surface point cloud (<code>.npz</code>) with a replotting function to generate top/side-view panels.<b>Supplementary Materials</b>:<b>PowerPoint file</b> (“PowerPoint Graphs.pptx”): Plots and figures assembled for submission.<b>Excel spreadsheet</b>:Sheet 1 – Offshore summary table of wave and turbulence parameters.Sheet 2 – Froude scaling of the experiments.<b>Python Utilities</b>:<code>_hydrodynamics.py</code> – Hydrodynamics quick viewer.<code>_ssc_evolution.py</code> – SSC overlays.<code>_shear_stresses.py</code> – Bed shear stress comparison plots.<code>_load_npz_from_zip.py</code>, <code>_load_ssc_evolution_zip.py</code>, <code>_load_stress_from_zip.py</code> – Tools for working directly from the compressed archive.<code>_load_3D_scan.py</code> – Visualization of 3D oyster surface roughness scans.<code>driver script.py</code> – One-stop driver script (demo) to reproduce figures across modules.All files along with README text file are kept <b>inside the “Paper Files” folder</b>, which is uploaded here as a complete dataset. Reviewers and readers can run the provided demo script to review all results without manual unpacking.
DOI: 10.6084/m9.figshare.30179578.v1
title: Paper Files – Data and Code Repository for Oyster Castle Experiments (Hydrodynamics, Sediment Transport, and 3D Roughness)

description: This repository contains the <b>complete “Paper Files” folder</b> submitted alongside the manuscript on oyster castles as a nature-based coastal protection strategy. The folder includes hydrodynamics, suspended sediment concentration (SSC), and bed shear stress datasets, along with the Python codes required to visualize and reproduce the figures.<b>Contents:</b><b>Hydrodynamics</b>: Phase-averaged velocity fields (u, w), Reynolds stresses (u′w′), and turbulent kinetic energy (TKE), provided as <code>.npz</code> files.<b>Suspended Sediment Concentration (SSC)</b>: Bundled <code>.npz</code> + memmap sidecars, plus quick-view (videos) tools for SSC evolution.<b>Bed Shear Stresses</b>: Extracted maximum shear stress distributions for bare vs populated and low vs high energy cases.<b>3D Roughness Scan</b>: Preprocessed oyster surface point cloud (<code>.npz</code>) with a replotting function to generate top/side-view panels.<b>Supplementary Materials</b>:<b>PowerPoint file</b> (“PowerPoint Graphs.pptx”): Plots and figures assembled for submission.<b>Excel spreadsheet</b>:Sheet 1 – Offshore summary table of wave and turbulence parameters.Sheet 2 – Froude scaling of the experiments.<b>Python Utilities</b>:<code>_hydrodynamics.py</code> – Hydrodynamics quick viewer.<code>_ssc_evolution.py</code> – SSC overlays.<code>_shear_stresses.py</code> – Bed shear stress comparison plots.<code>_load_npz_from_zip.py</code>, <code>_load_ssc_evolution_zip.py</code>, <code>_load_stress_from_zip.py</code> – Tools for working directly from the compressed archive.<code>_load_3D_scan.py</code> – Visualization of 3D oyster surface roughness scans.<code>driver script.py</code> – One-stop driver script (demo) to reproduce figures across modules.All files along with README text file are kept <b>inside the “Paper Files” folder</b>, which is uploaded here as a complete dataset. Reviewers and readers can run the provided demo script to review all results without manual unpacking.
DOI: 10.7910/dvn/vqant5
title: CNN dataset for Overcoming Residual Timing Jitter in Pump-Probe interferometry via Weak Value Amplification and Deep Learning

description: CNN dataset for a hybrid methodology that synergistically combines weak value amplification (WVA) and deep learning to suppress the limiting effects of residual timing jitter in pump-probe interferometry, achieved through simulations of pump-induced time delays at a few-attosecond resolution. A convolutional neural network regressor (CNN-Regressor) for direct delay estimation and a classifier (CNN-Classifier) for discrete delay categorization are employed to perform high-precision parameter estimators. Both networks were trained under identical conditions: an initial learning rate of 0.001, a maximum of 1000 iterations, and Training:Validation ratios of 8000:2000. For the CNN-regressor, each grayscale interferogram is assigned a continuous $\tau$ value as its label. In contrast, the CNN-classifier categorizes $\tau$ into 100 discrete classes (0 as, 0.1 as 0.2 as... 9.9 as), where each class represents a bin centered at a specific $\tau$ value. To emulate realistic experimental variability, the actual $\tau$ values within each class are randomized uniformly around the bin center with a tolerance of 10 as RMS, representing the time jitter.
DOI: 10.15468/dl.79mwxh
title: Occurrence Download

description: A dataset containing 709905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Braconidae",
 "Year 1975-2025"
 ]
}

 The dataset includes 709905 records from 564 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033312-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17569526
title: The DARRL dataset: Demonstrations for Action Recognition and Robot Learning

description: The DARRL dataset (Demonstrations for Action Recognition and Robot Learning) is a collection of 760 RGB-D videos of humans performing various manipulation tasks. It is provided with object and action annotations (in the COCO format) for 30 of those videos; segmentation masks are also provided. Additionnal gaze data collected from outside observers is shared for research on human attention and observation strategy analysis.

It can also be used as a basis for learning from demonstrations for a robotic arm, for instance.

 

This work is supported by Région Pays de la Loire.
DOI: 10.5281/zenodo.17581010
title: Data set of "Optimal area polygonisation problems: Mixed integer linear programming models"

description: Data set used in the article:

Hipólito Hernández-Pérez, Jorge Riera-Ledesma, Inmaculada Rodríguez-Martín, Juan-José Salazar-González,Optimal area polygonisation problems: Mixed integer linear programming models,European Journal of Operational Research,2025,https://doi.org/10.1016/j.ejor.2025.08.023.
DOI: 10.5281/zenodo.17581009
title: Data set of "Optimal area polygonisation problems: Mixed integer linear programming models"

description: Data set used in the article:

Hipólito Hernández-Pérez, Jorge Riera-Ledesma, Inmaculada Rodríguez-Martín, Juan-José Salazar-González,Optimal area polygonisation problems: Mixed integer linear programming models,European Journal of Operational Research,2025,https://doi.org/10.1016/j.ejor.2025.08.023.
DOI: 10.7910/dvn/rht48k
title: Replication Data for: The Effect of Input Price Discrimination on Retail Prices: Theory and Evidence from France

description: This is the replication package for "The Effect of Input Price Discrimination on Retail Prices: Theory and Evidence from France," accepted in 2025 by the Journal of Political Economy Microeconomics.
DOI: 10.15468/dl.4x8q5g
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is one of (USA.41_1, USA.34_1, USA.11_1, USA.10_1, USA.1_1, USA.43_1)",
 "TaxonKey is Typha latifolia"
 ]
}

 The dataset includes 1031 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033453-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17602828
title: 0.80 Å X-ray Data of Crambin from Lab Source

description: Zip archive of .cbf files of X-ray diffraction data collected on Rigaku HyPix 6000HE using a copper source at four different angles: +/-47.595, -91.75, and 113.25 degrees.

Metadata is separately stored in metadata.txt with the theta values for each dataset used for its containing folder. XDS.INP files that have necessary information from metadata are included with datasets, but the filetype extension in the NAME TEMPLATE OF DATA FRAMES variable may need to be changed to .cbf.
DOI: 10.5281/zenodo.17602827
title: 0.80 Å X-ray Data of Crambin from Lab Source

description: Zip archive of .cbf files of X-ray diffraction data collected on Rigaku HyPix 6000HE using a copper source at four different angles: +/-47.595, -91.75, and 113.25 degrees.

Metadata is separately stored in metadata.txt with the theta values for each dataset used for its containing folder. XDS.INP files that have necessary information from metadata are included with datasets, but the filetype extension in the NAME TEMPLATE OF DATA FRAMES variable may need to be changed to .cbf.
DOI: 10.15468/dl.8gwy6e
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Proteles cristata",
 "Year 2024-2025"
 ]
}

 The dataset includes 88 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033455-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g22wqj
title: Occurrence Download

description: A dataset containing 1271 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "Geometry POLYGON((-81.71175 36.65424,-81.30177 35.1882,-80.96786 34.55778,-78.79149 33.49818,-77.21398 34.18123,-75.58325 35.21412,-75.79284 36.64743,-76.79249 36.67337,-79.09633 37.06149,-79.66233 37.06026,-80.36927 37.0328,-81.02151 37.06823,-81.71175 36.65424))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Opheodrys aestivus",
 "Year 1960-2025"
 ]
}

 The dataset includes 1271 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033454-251025141854904/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.30075649
title: Raw data underlying figures for the manuscript “Divergent Tissue and Circulatory Expression of miR-10a in Canine Hepatocellular Carcinoma: Comparative Insights from Human HCC”

description: This dataset contains the raw experimental and computational values used to generate the main figures, supplementary figures and supplementary tables in the manuscript. Each Excel sheet contains raw data corresponding to a specific part of a figure from the main text or supplementary materials, with sheet names labeled according to the relevant figure numbers for clarity.Two unedited raw western blot images representing the exosomal markers CD9 and TSG101 are also included. The file names are labeled according to the corresponding marker for clarity.
DOI: 10.6084/m9.figshare.30075649.v1
title: Raw data underlying figures for the manuscript “Divergent Tissue and Circulatory Expression of miR-10a in Canine Hepatocellular Carcinoma: Comparative Insights from Human HCC”

description: This dataset contains the raw experimental and computational values used to generate the main figures, supplementary figures and supplementary tables in the manuscript. Each Excel sheet contains raw data corresponding to a specific part of a figure from the main text or supplementary materials, with sheet names labeled according to the relevant figure numbers for clarity.Two unedited raw western blot images representing the exosomal markers CD9 and TSG101 are also included. The file names are labeled according to the corresponding marker for clarity.
DOI: 10.7910/dvn/is1cmn
title: Replication Data for: Do Democratic Regimes Favor Democratic Parties?

description: This includes the raw data reproduced in the paper, but manifesto_apikey needs to be applied for on the Manifesto Project Main Dataset website by oneself. Only through apikey can corresponding text and metrics be obtained when running R language. Please import main_data into stato for normal use.
DOI: 10.15468/dl.g3pmb5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - France"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033456-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.30620759
title: Supplementary Material for: Mayer-Rokitansky-Küster-Hauser Syndrome: an atypical presentation with secondary amenorrhea - a case report

description: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a congenital malformation of the Müllerian ducts that results in aplasia or severe hypoplasia of the upper vagina, uterus, and fallopian tubes. The typical clinical presentation is primary amenorrhea in females with normal secondary sexual characteristics and a normal female karyotype. We report the case of a 19-year-old female who presented with secondary amenorrhea and whose MRI showed MRKH syndrome. She had associated ovarian dysgenesis, leading to hypergonadotropic hypogonadism. Although the patient reported menarche, it is arguable if it actually occurred. This case highlights an unusual presentation of MRKH syndrome with reported secondary amenorrhea and ovarian dysgenesis, contributing to the existing body of knowledge.
DOI: 10.6084/m9.figshare.30620759.v1
title: Supplementary Material for: Mayer-Rokitansky-Küster-Hauser Syndrome: an atypical presentation with secondary amenorrhea - a case report

description: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a congenital malformation of the Müllerian ducts that results in aplasia or severe hypoplasia of the upper vagina, uterus, and fallopian tubes. The typical clinical presentation is primary amenorrhea in females with normal secondary sexual characteristics and a normal female karyotype. We report the case of a 19-year-old female who presented with secondary amenorrhea and whose MRI showed MRKH syndrome. She had associated ovarian dysgenesis, leading to hypergonadotropic hypogonadism. Although the patient reported menarche, it is arguable if it actually occurred. This case highlights an unusual presentation of MRKH syndrome with reported secondary amenorrhea and ovarian dysgenesis, contributing to the existing body of knowledge.