cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.grp3za
title: Occurrence Download

description: A dataset containing 3803 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}, Calopogonium mucunoides)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3803 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004535-260129131611470/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.31148416
title: Predicting Driver Fatigue using HRV Measures and Machine Learning

description: Datasets of the raw HRV and the python code for machine learning classifiers
DOI: 10.6084/m9.figshare.31148416.v1
title: Predicting Driver Fatigue using HRV Measures and Machine Learning

description: Datasets of the raw HRV and the python code for machine learning classifiers
DOI: 10.4121/fcc76932-05e1-46f1-869e-25ab0a09b4f8
title: Data from the paper "Modelling interface damage in masonry structures under cyclic loading conditions with cohesive fracture and regularized friction"

description: The provided data pertain to the paper "Modelling interface damage in masonry structures under cyclic loading conditions with cohesive fracture and regularized friction", Cera et al., 2026 (https://doi.org/10.1016/j.compstruc.2026.108116).<br>The repository contains data files (.txt) to reproduce the figures.
DOI: 10.4121/fcc76932-05e1-46f1-869e-25ab0a09b4f8.v1
title: Data from the paper "Modelling interface damage in masonry structures under cyclic loading conditions with cohesive fracture and regularized friction"

description: The provided data pertain to the paper "Modelling interface damage in masonry structures under cyclic loading conditions with cohesive fracture and regularized friction", Cera et al., 2026 (https://doi.org/10.1016/j.compstruc.2026.108116).<br>The repository contains data files (.txt) to reproduce the figures.
DOI: 10.26165/juelich-data/abtnid
title: Wiki-Quantities and Wiki-Measurements: Datasets of Quantities and their Measurement Context from Wikipedia

description: The task of extracting quantitative information from text is typically approached in a pipeline manner, where quantities are identified before their individual measurement context is extracted. To support the development and evaluation of systems for measurement extraction, we present two large datasets that correspond to the two tasks: Wiki-Quantities, a dataset for identifying quantities, and Wiki-Measurements, a dataset for extracting the measurement context for given quantities. The datasets are heuristically generated from Wikipedia articles and Wikidata facts.
DOI: 10.15468/dl.8kk7sa
title: Occurrence Download

description: A dataset containing 32487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Montifringilla nivalis"
 ]
}

 The dataset includes 32487 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011840-260120142942310/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.31147993
title: Supplemental Material for

description: This document provides supporting material for the manuscript “Impacts of multi-dimensional urbanization on carbon emissions from China’s 30 provincial capital cities: What can EKC and PVAR tell us?”. It includes a description of the data, excerpts of the replication code, and the complete set of supplementary empirical results referenced in the main text.
DOI: 10.6084/m9.figshare.31147993.v1
title: Supplemental Material for

description: This document provides supporting material for the manuscript “Impacts of multi-dimensional urbanization on carbon emissions from China’s 30 provincial capital cities: What can EKC and PVAR tell us?”. It includes a description of the data, excerpts of the replication code, and the complete set of supplementary empirical results referenced in the main text.
DOI: 10.15468/dl.y7c4fr
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Irvingbaileya australis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 199 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011842-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp997p
title: Occurrence Download

description: A dataset containing 833975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer pseudoplatanus",
 "Year 1957-2022"
 ]
}

 The dataset includes 833975 records from 2355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011822-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15287128
title: Enriching KoLLA with Multi-reference Annotations and Rubric-Based Scoring
title: KoLLA v2

description: We enhance the KoLLA Korean learner corpus by adding multiple grammatical error correction (GEC) references, which enable more nuanced and flexible evaluation of GEC systems and better capture the variability of human language. In addition, we enrich the corpus with rubric-based scores aligned with guidelines from the Korean National Language Institute, providing measures of grammatical accuracy, coherence, and lexical diversity. Together, these enhancements establish KoLLA as a robust and standardized resource for research in Korean L2 education, supporting advances in language learning, assessment, and automated error correction.

 

Original KoLLA (v1.0), including learners’ written texts, is available at https://cl.indiana.edu/~kolla/
DOI: 10.5281/zenodo.16908784
title: Enriching KoLLA with Multi-reference Annotations and Rubric-Based Scoring
title: KoLLA v2

description: We enhance the KoLLA Korean learner corpus by adding multiple grammatical error correction (GEC) references, which enable more nuanced and flexible evaluation of GEC systems and better capture the variability of human language. In addition, we enrich the corpus with rubric-based scores aligned with guidelines from the Korean National Language Institute, providing measures of grammatical accuracy, coherence, and lexical diversity. Together, these enhancements establish KoLLA as a robust and standardized resource for research in Korean L2 education, supporting advances in language learning, assessment, and automated error correction.

 

Original KoLLA (v1.0), including learners’ written texts, is available at https://cl.indiana.edu/~kolla/
DOI: 10.18419/darus-5233
title: Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980

description: The ML-TWiX dataset provides a globally gridded reconstruction of Total Water Storage Anomalies (TWSA) from January 1980 to December 2012. This dataset is designed to extend the GRACE satellite observations backward in time, supporting hydrological and climate-related studies that require long-term water storage information. The reconstruction was achieved using an ensemble of machine learning models - Random Forest, Gaussian Process Regression, and XGBoost - trained over the GRACE observation period (April 2002 to December 2012). Input features included monthly TWSA estimates from 13 global hydrological, land surface, and reanalysis models, applied at a 0.5° grid over global land areas (excluding Greenland and Antarctica). The dataset includes both the mean predicted TWSA and associated uncertainty, quantified through bootstrapped ensemble realizations. ML-TWiX is particularly useful for drought analysis, trend evaluation, and integration into Earth system models or water balance studies.
DOI: 10.15468/dl.epdubv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is ",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024996-250811113504898/datasets/export for details.
DOI: 10.15468/dl.may22p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is ",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024993-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.20709604.v1
title: Datasets. Determinants of PU

description: The dataset for a scale development study. The scale evaluation process was detailed.
DOI: 10.6084/m9.figshare.28883624.v2
title: Python code for jupyter notebook

description: Computer vision for detect bradykinesia on finger tapping task using mediapipe, use finger tapping taskStep by Step1.MediaPipe Hand detection and feature extraction2.Load data for MLtraining (excel file)3.Prepare data for ML4.Train ML with cross-validation5.Plot Multiple ROC curve6.Plot SHAP summary plot7.Load model (file svc1.pkl) to detect bradykinesia
DOI: 10.17632/rnk78zs9zf
title: Data for: Role of dinitrile plasticizer chain lengths in electrochemical performance of highly conductive polymer electrolyte membrane for lithium ion battery
DOI: 10.6084/m9.figshare.1610063.v4
title: The Harvard Organic Photovoltaics 2015 (HOPV) dataset: An experiment-theory calibration resource.

description: Standard data sets used for the calibration of computational results have been extremely useful for the development of electronic structure methods and their application to areas such as thermochemistry1–3 as well as non-covalent interactions4,5. To our knowledge, the field of organic photovoltaics, specifically as it pertains to high-throughput virtual screening, lacks a similar collection of data. Since the relationship between theoretically predicted and experimentally observed properties is often non-trivial, the dissemination of directly comparable data for a well-defined set of molecules can be a great asset to accelerate advances in this field. The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of geometries, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries in the domain of organic electronics.
DOI: 10.6084/m9.figshare.28375283.v2
title: <b>Jordanian Version of the Bergen Social Media Addiction Scale</b><b> (BSMAS)</b>

description: This study sought to examine the psychometric validation of a Jordanian adaptation of the BSMAS. A total of 605 individuals (Mage = 21.7 years, SD = 8.50, 55.2% female) were recruited from among school students, university students, and the general public.
DOI: 10.6084/m9.figshare.4765759.v1
title: Traffic Speed Data (2009 - 2016)

description: The dataset includes records of the average speed in the streets of Manhattan, from 2009 to 2016, and was derived from the following paper:<br><i>Exploring Traffic Dynamics in Urban Environments using Vector-Valued Functions, Jorge Poco, Harish Doraiswamy, Huy. T. Vo, João L. D. Comba, Juliana Freire, and Cláudio. T. Silva. In Proceedings of the 2015 Eurographics Conference on Visualization (EuroVis '15). Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 161-170.</i>
DOI: 10.6084/m9.figshare.c.3814018_d2.v1
title: MOESM2 of Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data

description: Additional file 2. Code developed in this project.
DOI: 10.6084/m9.figshare.1140391.v12
title: Quantum imagination leading to the "theory of everything"

description: Attempt to connect the dots and maybe prove that the theory of everything has been solved.
DOI: 10.6084/m9.figshare.21836496.v1
title: Sub-sampled dataset for Shenzhen (HGI region embedding example dataset)

description: Please download it to put in /Data if you want to learn region embeddings for Shenzhen. Note that <strong>this is a sub-sampled dataset for Shenzhen</strong> (first 820 regions), as the entire dataset takes a long time to train.
DOI: 10.6084/m9.figshare.26420107.v1
title: Blood Flow Sound

description: Blood Flow Sound Data
DOI: 10.17632/wfw7nyctcy
title: Respiratory bi-directional pressure and flow data collection device with auxiliary thoracic and abdominal circumferential monitoring. 

description: The venturi flow meter is adapted from a basic 3D printed design [1], to monitor differential pressure in both directions, which can be combined to generate complete breath profiles. The venturi is designed to be integrated in series with respiratory circuitry, combined 22m cone and 15 mm socket (22 M/15F) connections. In its current application one end is connected to a CPAP device using its accompanying circuitry, and the other end is connected to Heat and Moisture Exchanger Pleated Mechanical (HEPA) Filter (002874, Smiths Medical, MN, USA), subsequently leading to a Bi-level CPAP System Hospital Mask (RT041S, Fisher and Paykel Healthcare, Auckland, New Zealand).

Auxiliary measurements of thoracic and abdominal circumferences provide external non-invasive data, which can be correlated to change in lung volume. Thus, measurement of change in circumference can be used to validate models of patient specific lung mechanics applied to the venturi pressure and flow dataset.  Circumference is measured by a flexible fiberglass dressmakers tape spooled onto spring loaded barrel which is connected to a rotary encoder. The rotary encoder counts are subsequently translated into change in unspooled tape length in data processing. 

Ultimately the device is designed for respiratory research, specifically the application and validation of models designed to ascertain patient-specific respiratory condition using simple non-invasive measurements. The outlined device provides researchers with:

-	A low-cost alternative to commercial sensor systems 
-	Non-invasive data collection
-	Built in validation for respiratory models 
-	High customisability
DOI: 10.6084/m9.figshare.23535255.v2
title: Electrospray deposition of in-situ UV-photoactivated polyimide films experimental data

description: FTIR, TGA, viscosity (rheometry), and dielectric breakdown data for electrospray-deposited films of photosensitive polyimide under various modes of UV exposure.
DOI: 10.6084/m9.figshare.27106039.v1
title: Dataset S1

description: Dataset S1: (A) Environmental parameters, cells abundance by flow cytometry, and estimated biomass based on flow cytometry measurements, and primary production based on <sup>14</sup>C bicarbonate uptake method.(B,C) Means and standard deviations for abiotic and biotic factors for samples within different regimes after clustering based on abiotic factors.<br>
DOI: 10.6084/m9.figshare.21922956.v1
title: Tribolium confusum annotation

description: Maker genome annotation for Tribolium confusum
DOI: 10.6084/m9.figshare.22649182.v1
title: Additional file 6 of Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs

description: Additional file 6.
DOI: 10.6084/m9.figshare.26402965.v1
title: <b>Measurement of granular flow dynamics from laboratory flume experiments</b>

description: The zip file <b>S1</b> is the raw measurements of granular flow dynamics from laboratory flume experiments. The excel file in the zip file is the measurements for each experiment condition. <i>M</i> represents the flow mass and contains 4 kinds of mass, 5kg, 10kg, 20kg and 40kg. <i>D</i> represents the particle size, including 3 particle sizes, 2mm, 4mm and 6mm. The excel file contains measurements of the base force, acceleration signal and flow height in two different monitoring areas.The zip file <b>S2</b> is the raw high-speed video of the granular flows. The data in this file can be used to analyze the dynamic processes and dynamics of granular flows, such as flow velocity.The zip file <b>S3</b> and <b>S4</b> contain the processed data, including basal force, acceleration signal, flow height, and flow velocity. See the included README.txt file for details.
DOI: 10.17632/4s5jydvyg3
title: Levy et al. 2022b - STOTEN

description: OTU data from Levy et al. 2022b, Science of the Total Environment
https://www.sciencedirect.com/science/article/pii/S0048969722061502
https://doi.org/10.1016/j.scitotenv.2022.159051
DOI: 10.6084/m9.figshare.12546902.v1
title: Supplementary Material for: Evaluation of Biomarkers for the Prediction of Venous Thromboembolism in Ambulatory Cancer Patients

description: <b><i>Background:</i></b> Venous thromboembolism (VTE) is a common complication of cancer. This study aimed to evaluate immature platelet fraction (IPF), mean platelet volume (MPV), P-selectin, D-dimer, and thrombin generation (TG) as predictive biomarkers for VTE and further the improvement of existing risk assessment models (RAMs). <b><i>Methods:</i></b> A prospective, observational, exploratory study was conducted on ambulatory cancer patients with indication for systemic chemotherapy. Baseline RAMs included the Khorana-, Vienna Cancer, Thrombosis-, Protecht-, ONKOTEV-, and Catscore. IPF, MPV, P-selectin, D-dimer, and TG were analysed at baseline and 3-month follow-up. <b><i>Results:</i></b> We enrolled 100 patients, of whom 89 completed the follow-up. Frequent tumour types were breast (30%), gastric (14%), gynaecological (14%), and colorectal (14%) cancer. Ten of the 89 patients (11.2%) developed VTE. The highest VTE rate was observed in patients with cholangiocarcinoma (3/5; 60%). Baseline D-dimer levels but not IPF, MPV, or P-selectin were associated with the risk of developing VTE (HR 6.9; <i>p</i> = 0.021). None of the RAMs showed statistical significance in predicting VTE. Peak thrombin and endogenous thrombin potential were lower in patients who developed VTE. Biomarker changes between baseline and follow-up were not associated with VTE risk. <b><i>Conclusions:</i></b> VTE risk was well predicted by baseline D-dimer levels. Adding D-dimer could improve existing RAMs to better identify patients who may benefit from primary VTE prophylaxis. The VTE risk among patients with cholangiocarcinoma should be further evaluated.
DOI: 10.6084/m9.figshare.1513840.v2
title: Shepherd's Pi

description: Shepherd's Pi correlation - the method presented in our article "Better ways to improve standards in brain-behavior correlation analysis" in Front Hum Neurosci.
DOI: 10.6084/m9.figshare.16934659.v4
title: DATA for Hébert et al 2021b “Warming winters in lakes: Later ice onset promotes consumer overwintering and shapes springtime planktonic food webs”

description: NOTE: <br>-Please use the latest version of the dataset. Additional updates may be made over time. <br>-Details re. calculations, conversions, and units are provided in the Methods and Appendix of the paper.-Any questions can be directed at: mphebert4@gmail.com <br><br>ABSTRACT:<br>Global climate warming is causing the loss of freshwater ice around the Northern Hemisphere. Although the timing and duration of ice covers are known to regulate ecological processes in seasonally ice-covered ecosystems, the consequences of shortening winters for freshwater biota are poorly understood owing to the scarcity of under-ice research. Here, we present one of the first in-lake experiments to postpone ice-cover onset (by ≤21 d), thereby extending light availability (by ≤40 d) in early winter, and explicitly demonstrate cascading effects on pelagic food web processes and phenologies. Delaying ice-on elicited a sequence of events from winter to spring: 1) relatively greater densities of algal resources and primary consumers in early winter; 2) an enhanced prevalence of winter-active (overwintering) consumers throughout the ice-covered period, associated with augmented storage of high-quality fats likely due to a longer access to algal resources in early winter; and 3) an altered trophic structure after ice-off, with greater initial springtime densities of overwintering consumers driving stronger, earlier top-down regulation, effectively reducing the spring algal bloom. Increasingly later ice onset may thus promote consumer overwintering, which can confer a competitive advantage on taxa capable of surviving winters upon ice-off; a process that may diminish spring food availability for other consumers, potentially disrupting trophic linkages and energy flow pathways over the subsequent open-water season. In considering a future with warmer winters, these results provide empirical evidence that may help anticipate phenological responses to freshwater ice loss and, more broadly, constitute a case of climate-induced cross-seasonal cascade on realized food web processes.
DOI: 10.6084/m9.figshare.5755404.v4
title: PhyloSift markers database

description: Markers database for PhyloSift<br><br>PhyloSift is a suite of software tools to conduct phylogenetic analysis of genomes and metagenomes.Using a reference database of protein sequences, PhyloSift can scan new sequences against that database for homologs and identify the phylogenetic relationship of the new sequence to the database sequences. During this procedure, high quality alignments of codon and<br>amino acid sequence are generated.Software Download on GitHub: https://github.com/gjospin/PhyloSift<br>