cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60521/332678
title: Dive Documentation acquired during E/V Nautilus expedition NA167 (2024)

description: This data set was acquired with an Ocean Exploration Trust Hercules Event Logger on ROV Hercules during E/V Nautilus expedition NA167 conducted in 2024. These data files are of Text File (ASCII) format and include Documentation. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.7910/dvn/2hnjtj
title: Replication Data for: Crumbling Safe Havens? International Justice Regime and Conflict Amnesty for Serious Crimes

description: Replication data fo"Crumbling Safe Havens? International Justice Regime and Conflict Amnesty for Serious Crimes"
DOI: 10.17909/n43h-6185
title: MIRI Secondary Eclipse Observations of GJ 3473 b

description: Data from JWST Program GO 3730 published in Holmberg et al. 2026.
DOI: 10.7910/dvn/egaiko
title: Replication Data for: Credit Scoring of Thin File Consumers
title: Marginalised Consumer Credit Scoring

description: &lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This dataset contains synthetic data designed for evaluating machine learning-based credit scoring models for thin-file consumers. It includes borrower profiles with alternative data attributes such as digital payments, utility bills, and behavioral features.&lt;/p&gt;

&lt;p&gt;This dataset supports research in AI-driven credit risk assessment, fairness audits, and financial inclusion. The data generation aligns with the &lt;a href="https://www.worldbank.org/en/topic/financialinclusion/brief/digital-financial-inclusion"&gt;World Bank Digital Financial Inclusion 2025&lt;/a&gt; goals and the IMF Responsible AI framework.&lt;/p&gt;
description: Original Dataset DOI
Use this to link publications, thesis, GitHub, conference papers, etc.
Relation Types include: Cites, IsCitedBy, IsSupplementTo, IsReferencedBy, etc.
DOI: 10.6084/m9.figshare.31215685
title: hypertention raw data

description: raw data for factors associated with hypertention
DOI: 10.6084/m9.figshare.31215685.v1
title: hypertention raw data

description: raw data for factors associated with hypertention
DOI: 10.3886/e234607
title: ECIN Replication Package for "Supply Disruptions, Economic Slack, and the State-Dependent Phillips Curve"

description: This project includes codes and data to replicate "Supply Disruptions, Economic Slack, and the State-Dependent Phillips Curve."<br><br><b>Abstract:</b><br>This paper investigates how supply disruptions and economic slack affect the responsiveness of inflation to changes in aggregate demand. We propose and estimate a nonlinear Phillips curve, whereby the sensitivity of inflation to changes in demand varies with supply conditions and the amount of slack in the economy. We find evidence that supply disruptions and low unemployment both steepen the Phillips curve, thereby amplifying the inflationary effects of increased demand. Our results suggest that the effects of fiscal policy on inflation depend on the prevailing supply conditions and the level of unemployment in the economy.
description: Data reflects aggregate data for the U.S., for U.S. regions, and for U.S. states.
DOI: 10.3886/e234607v3
title: ECIN Replication Package for "Supply Disruptions, Economic Slack, and the State-Dependent Phillips Curve"

description: This project includes codes and data to replicate "Supply Disruptions, Economic Slack, and the State-Dependent Phillips Curve."<br><br><b>Abstract:</b><br>This paper investigates how supply disruptions and economic slack affect the responsiveness of inflation to changes in aggregate demand. We propose and estimate a nonlinear Phillips curve, whereby the sensitivity of inflation to changes in demand varies with supply conditions and the amount of slack in the economy. We find evidence that supply disruptions and low unemployment both steepen the Phillips curve, thereby amplifying the inflationary effects of increased demand. Our results suggest that the effects of fiscal policy on inflation depend on the prevailing supply conditions and the level of unemployment in the economy.
description: Data reflects aggregate data for the U.S., for U.S. regions, and for U.S. states.
DOI: 10.57765/2003425
title: Thermodynamic data set for the primitive basalt of Yakedake

description: This database provides thermodynamic calculation results for the primitive basalt magma of Yakedake Volcano. A series of thermodynamic data has been obtained using the Rhyolite-MELTS software on the magma compositions of primitive basalt of Yakedake volcano.
DOI: 10.25345/c51z4266d
title: MassIVE MSV000100677 - Calcium Phosphate Bridging Links Phosphorylation to HIV Protein Complex Assembly and Maturation
title: Calcium ions and phosphate groups are essential in biology. Calcium signalling and protein phosphorylation are usually treated as separate regulatory systems. However, phosphate groups on proteins, and phospho mimic amino acids (aspartate and glutamate), can also bind calcium directly at the molecular level. In this work, we used HIV infection in primary cells to uncover a previously unrecognised regulatory mechanism in which calcium and phosphate form a bridging interaction that promotes protein complex assembly. Using phospho-proteomics, we identified new HIV phosphorylation sites that overlap with calcium-binding regions. By combining primary-cell experiments with molecular virology, structural biology, biophysical measurements, and ultrastructural analyses, we show several examples where calicum-phosphate bridges are important for HIV biology. These bridges (1) stabilise the interaction between Pr55Gag and Pr160GagPol to support viral function, (2) enable p6Pol dimerisation required for virion maturation, and (3) influence viral complex formation to package both viral enzymes and selected host proteins. Because similar calcium-phosphorylation features appear in many viral and cellular proteins, we propose that this bridging is a general mechanism that links calcium coordination with phosphorylation based regulation across biological systems.
DOI: 10.57765/2003426
title: Thermodynamic dataset of Sakurajima key basalt and andesite

description: This database provides thermodynamic calculation results for the key magmas of Sakurajima Volcano. A series of thermodynamic data has been obtained using the Rhyolite-MELTS software on the magma compositions of key basalt and andesite of Sakurajima volcano (B_EastBay and A_1976_0525 with SiO2 47 and 59 wt. % and with K2O 0.5 and 1.5 wt. %, respectively).
DOI: 10.5281/zenodo.18417461
title: Deliverable D2.4 Glacier mass balance data set

description: This dataset provides annual glacier mass balance estimates derived using an uncertainty-aware machine learning framework based on Bayesian Neural Fields. The dataset covers all glacierized regions defined in RGIv7 except Regions 19 and 20 (19: Sub-Antarctic and Antarctic Islands, 20: Antarctic Mainland). Temporal coverage spans 1979–2019. This dataset is intended as a global, consistent Bayesian prior for glacier mass balance. This is a preliminary release of pretrained outputs; it is intended to work as a prior for Bayesian ML and has not been finetuned on observations. The dataset structure is subject to significant change after finetuning on observations.
DOI: 10.5281/zenodo.18417460
title: Deliverable D2.4 Glacier mass balance data set

description: This dataset provides annual glacier mass balance estimates derived using an uncertainty-aware machine learning framework based on Bayesian Neural Fields. The dataset covers all glacierized regions defined in RGIv7 except Regions 19 and 20 (19: Sub-Antarctic and Antarctic Islands, 20: Antarctic Mainland). Temporal coverage spans 1979–2019. This dataset is intended as a global, consistent Bayesian prior for glacier mass balance. This is a preliminary release of pretrained outputs; it is intended to work as a prior for Bayesian ML and has not been finetuned on observations. The dataset structure is subject to significant change after finetuning on observations.
DOI: 10.5066/p9w3zxmm
title: Organic and Metal Contaminants in Fish Tissue Collected from the Buffalo River Area of Concern (ver. 2.0, January 2026)

description: This data release contains analytical results from 536 fish tissue samples analyzed for over 230 analytes including polychlorinated biphenyls (PCBs), pesticides, polycyclic aromatic hydrocarbons, organochlorine and other persistent organic compounds, metals, lipids and moisture content. In 2017, 159 samples were collected at four locations in the Buffalo River Area of Concern. In 2021, an additional 377 samples were collected from the same four locations and one reference location on Cattaraugus Creek. The data set includes a variety of laboratory quality assurance data including sample duplicates, laboratory blank data, laboratory spike data, matrix spike recoveries, and replicate matrix spike recoveries.
DOI: 10.5281/zenodo.18436671
title: Microscopy-based assessment of H3K27-acetylation at RNA polymerase II clusters during early stages of zebrafish embryo development

description: This repository contains the data and MatLab analysis scripts of the analysis of histone 3 lysine 27 acetylation (H3K27ac) at RNA polymerase II clusters over the course of zygotic genome activation and gastrulation of zebrafish embryos. Samples were prepared and images were recorded by Marcel Sobucki in Lennart Hilbert's laboratory, images were analyzed by Lennart Hilbert.

To analyse date data, the raw image data are first extracted into MatLab-native files using the MultiPosition_extraction_nd2.m script. The actual analysis is then carried out using first the ClusterAnalysis_Nov2025_part1.m followed by the ClusterAnalysis_Nov2025_part2.m script. Example microscopy images were produced using the ExampleImages.m script. The extracted data can be reviewed using the ReviewExtractedStacks.m script.

Additional data needed to be stored in an extra repository due to size limitations: https://doi.org/10.5281/zenodo.8028508
DOI: 10.5281/zenodo.8019734
title: Microscopy-based assessment of H3K27-acetylation at RNA polymerase II clusters during early stages of zebrafish embryo development

description: This repository contains the data and MatLab analysis scripts of the analysis of histone 3 lysine 27 acetylation (H3K27ac) at RNA polymerase II clusters over the course of zygotic genome activation and gastrulation of zebrafish embryos. Samples were prepared and images were recorded by Marcel Sobucki in Lennart Hilbert's laboratory, images were analyzed by Lennart Hilbert.

To analyse date data, the raw image data are first extracted into MatLab-native files using the MultiPosition_extraction_nd2.m script. The actual analysis is then carried out using first the ClusterAnalysis_Nov2025_part1.m followed by the ClusterAnalysis_Nov2025_part2.m script. Example microscopy images were produced using the ExampleImages.m script. The extracted data can be reviewed using the ReviewExtractedStacks.m script.

Additional data needed to be stored in an extra repository due to size limitations: https://doi.org/10.5281/zenodo.8028508
DOI: 10.60521/332609
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA168 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA168 conducted in 2024. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1). Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332610
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA171 (2025)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA171 conducted in 2025. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1). Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332611
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA175 (2025)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA175 conducted in 2025. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1). Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA24OARX432C0009.
DOI: 10.60521/332612
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA174 (2025)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA174 conducted in 2025. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1). Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA24OARX432C0009.
DOI: 10.7910/dvn/6mlvvi
title: Replication Data for: Credit scoring of thin file consumers
title: Non-Traditional Data Sources to Enhance Creditworthiness
title: Innovative Data Approaches for Assessing Credit Risk in Limited Credit History Consumers

description: The rapid evolution of machine learning (ML) offers transformative potential for the credit scoring industry, especially in addressing the challenges faced by "thin-file" consumers who lack substantial credit histories. Traditional credit scoring models often fail to accurately assess these consumers due to insufficient data, leading to potential exclusion from crucial credit services. This research leverages a synthetically created dataset, generated using advanced Python libraries like Pandas, NumPy, and Faker, to develop and refine ML algorithms capable of evaluating such underserved consumer segments. The synthetic nature of the dataset ensures compliance with privacy norms while allowing the simulation of diverse consumer behaviors—from stable to erratic financial activities—typical of thin-file profiles. This initiative not only drives innovation in algorithmic credit scoring but also aligns with broader objectives of financial inclusivity, aiming to bridge service gaps by equipping the financial industry with tools to fairly evaluate creditworthiness across all consumer segments. Thus, this dataset forms a critical cornerstone for advancing research that enhances technical capabilities and fosters societal progress through improved financial inclusion.
description: Python, 3
description: The dataset in question is designed to facilitate a study in the development of machine learning algorithms specifically tailored for credit scoring of "thin-file" consumers. "Thin-file" consumers are individuals who have little to no credit history, which makes traditional credit scoring models less effective or entirely inapplicable. These consumers often face difficulties in accessing credit products because they cannot be easily assessed by standard credit risk evaluation methods.
description: https://github.com/Deezpa/credit-score
DOI: 10.21227/2a40-3a22
title: "SimD3:Simulated Drone detection dataset"

description: "abstract: SimD3"
DOI: 10.15468/dl.yezpf9
title: Occurrence Download

description: A dataset containing 2184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "GadmGid is USA.5_1",
 {
 "or" : [
 "Geometry POLYGON((-120.65896 38.47755,-119.72544 38.47755,-119.72544 39.9712,-120.65896 39.9712,-120.65896 38.47755))",
 "Geometry POLYGON((-115.21339 33.80991,-113.82865 33.80991,-113.82865 35.44359,-115.21339 35.44359,-115.21339 33.80991))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata",
 "Year 1970-2020"
 ]
}

 The dataset includes 2184 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002661-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/yr5ohr
title: Search strategy for amphetamine-type substance use disorder (ATSUD)

description: Le jeu de données contient une stratégie de recherche pour les banques de données suivantes : MEDLINE (Ovid), EMBASE (Ovid), APA PsycInfo (Ovid), EBM Reviews (Ovid) et CINAHL Complete (EBSCO). Le seul concept recherché est celui de troubles liés à la consommation d'amphétamine. Les filtres de recherche «Animal Filters in Databases» développé par les McGill University Health Centre Libraries ont été utilisés. Le fichier joint contient la stratégie pour la base de données mentionnées. Le 20 décembre 2024 est la date à laquelle la recherche a été effectuée.
DOI: 10.15468/dl.bgws7x
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 {
 "or" : [
 "Geometry POLYGON((-120.50255 38.48386,-119.63374 38.48386,-119.63374 39.79882,-120.50255 39.79882,-120.50255 38.48386))",
 "Geometry POLYGON((-115.41305 33.44339,-113.84752 33.44339,-113.84752 35.60532,-115.41305 35.60532,-115.41305 33.44339))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines",
 "Year 1970-2020"
 ]
}

 The dataset includes 205 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002663-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012482.0
title: Available datapackage for study 'Assessing Testing Strategies for Safe Return to K-12 Schools in an Underserved Population'

description: The primary goal of this study is to determine the most effective SARS-CoV-2 testing strategy for successful return of in-person school in the under-served communities of St. Louis.Regular screening testing has been recommended by the CDC as an additive mitigation strategy for in-person schools in areas of high community transmission. We will compare the effectiveness and acceptance of two different school-based testing strategies among students and school staff (symptomatic testing only versus weekly surveillance testing plus symptomatic testing), measuring school-based SARS-CoV-2 transmission through a cluster randomized trial.
DOI: 10.13020/626z-dw82
title: Supporting data for Organotellurium Probes Enable One-step Single-cell Analysis of Post-translational Modification

description: Protein prenylation is a widespread post-translational modification that regulates membrane association and signal-ing; dysregulation of this process leads to a variety of diseases. Metabolic labeling with probes containing bioorthog-onal functionality has revolutionized the study of many protein modifications including prenylation. However, that approach requires two steps including metabolic incorporation and subsequent bioorthogonal reaction to install chemical reporters. Here, the development and use of a suite of tellurium-containing analogues that can be incorpo-rated into proteins in a single step and employed to directly measure global prenylation levels in cells via mass cy-tometry is described. This robust methodology was examined in a variety of cell lines and used to show that prenyla-tion levels are perturbed in autophagy-deficient L6 cells, a model for aging. Modification of tellurium-labeled pro-teins through the oxidation-controlled, strain-promoted tellurophene-alkyne cycloaddition reaction also enabled identification of prenylation targets by chemical proteomics. This dataset contains all raw and processed data supporting the findings of the manuscript. It includes CyTOF mass cytometry files from multiple cell lines (WT and Atg7 KO L6, AML-3, MOLM-13, AML-12, and COS-7), gel fluorescence images, fluorescence-based enzymatic assay and steady-state kinetic measurements, as well as NMR and HRMS data for all synthesized compounds. Data package also includes western blot analyses and molecular docking results. Together, these datasets provide comprehensive experimental evidence for the synthesis, characterization, and functional evaluation of tellurium-based chemical probes used in this study.
description: This dataset contains all raw and processed data supporting the findings of the manuscript. It includes CyTOF mass cytometry files from multiple cell lines (WT and Atg7 KO L6, AML-3, MOLM-13, AML-12, and COS-7), gel fluorescence images, fluorescence-based enzymatic assay and steady-state kinetic measurements, as well as NMR and HRMS data for all synthesized tellurium-containing compounds. Data package also includes western blot analyses and molecular docking results. Together, these datasets provide comprehensive experimental evidence for the synthesis, characterization, and functional evaluation of tellurium-based chemical probes used in this study.
DOI: 10.15468/dl.ssgq8g
title: Occurrence Download

description: A dataset containing 124168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Year is 2024",
 "Month is May"
 ]
}

 The dataset includes 124168 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002656-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14910194
title: SHNITSEL - Surface Hopping Nested Instances Training Set for Excited-state Learning

description: SHNITSEL-dynamic

The Surface Hopping Nested Instances Training Set for Excited-State Learning (SHNITSEL) is a comprehensive data repository designed to support the development and benchmarking of excited-state dynamics methods.

SHNITSEL-dynamic contains datasets with comprehensive surface hopping trajectory data of five organic molecules:



Alkenes: ethene (A01), propene (A02), 2-butene (A03)

Ring structures: 1,3-cyclohexadiene (R02)


The data are stored in xarray format using xarray.DataTree objects for efficient handling of multidimensional trajectory ensembles. Metadata such as units, electronic-structure method, charge, and number of electronic states are stored as attributes of the individual datasets within the tree.

The datasets contain key electronic-structure quantities for singlet and triplet states, including energies, nuclear forces, dipole moments, transition dipole moments, nonadiabatic couplings, and spin-orbit couplings, computed at the multireference ab initio level.

Two data representations are provided:





Stacked (#271,700 data points in total): for each molecule, the DataTree contains a single dataset in which all trajectories are stacked along a trajectory dimension.




Unstacked (#271,700 data points in total): for each molecule, the DataTree contains one dataset per trajectory, stored as individual leaves.



These complementary formats allow users to choose between trajectory-resolved and ensemble-level data representations depending on their analysis needs.