cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5hs7yz
title: Occurrence Download

description: A dataset containing 118 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (occurrence.taxonkey = 5289779 OR occurrence.acceptedtaxonkey = 5289779 OR occurrence.kingdomkey = 5289779 OR occurrence.phylumkey = 5289779 OR occurrence.classkey = 5289779 OR occurrence.orderkey = 5289779 OR occurrence.familykey = 5289779 OR occurrence.genuskey = 5289779 OR occurrence.specieskey = 5289779)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 118 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn6bn9
title: Occurrence Download

description: A dataset containing 3493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Androsace pubescens DC."
 ]
}

 The dataset includes 3493 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017399-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7489/12542-1
title: 2025 UK Marine Strategy Assessment - Descriptor 8 - liver neoplasms in flatfish

description: The data used in 'Trends and status of liver neoplasms in flatfish (2011-2020)', a Descriptor 8 Indicator in the UK's 2025 Marine Strategy Assessment. 
description: Data on the prevalence of ten types of liver neoplasms (tumours) in common dab were collected annually between 2011 and 2020 as part of the UK's Clean Seas Environment Monitoring Programme (CSEMP).  

The prevalence of liver neoplasms was assessed for status and trends (comparison between 2011-2015 and 2016-2020) in seven biogeographic regions.  

The results form the basis for 'Trends and status of liver neoplasms in flatfish (2011-2020)', a Descriptor 8 Indicator in the UK's 2025 Marine Strategy Assessment.
DOI: 10.15468/dl.rza6mc
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017398-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.29222429
title: Supplementary information files for "Additional health benefits observed following a nature walk compared to a green urban walk in healthy females"

description: Supplementary information for article "Additional health benefits observed following a nature walk compared to a green urban walk in healthy females"<br>Chronic stress and obesity are major public health concerns and represent significant risk factors for a plethora of non-communicable diseases. Physical exercise represents a valuable health intervention in both cases, providing benefits for mental and physical health, as well as appetite regulation. While the emerging field of ‘green exercise’ suggests that the presence of nature may amplify the benefits of exercise, the quality of evidence has been questioned. To address this, we recruited 22 healthy females to complete a crossover randomised trial comprising a 75 min walk in both a forest and urban area, separated by 2–7 days. Markers of mood (Profile of Mood States), stress (sympathetic-adreno-medullar [resting heart rate, blood pressure] and hypothalamic–pituitary axis activation [salivary cortisol]) and eating behaviour (energy intake and salivary ghrelin) were measured before and after each walk. While both walking interventions improved mood and reduced physiological stress, the nature intervention (but not the urban intervention) also led to further improvements in total mood disturbance, depression, confusion and esteem-related affect (F(1,21) (Formula presented.) 4.98, p (Formula presented.) 0.037). Salivary ghrelin (F(20) = 0.229, p = 0.637) and energy intake (t(20) = −0.54, p = 0.60) did not respond differently in the two environments. Overall, while walking improved mood and physiological stress in both environments, walking in a forested environment provided additional benefits for mood not seen following the urban walk.©The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.29222429.v1
title: Supplementary information files for "Additional health benefits observed following a nature walk compared to a green urban walk in healthy females"

description: Supplementary information for article "Additional health benefits observed following a nature walk compared to a green urban walk in healthy females"<br>Chronic stress and obesity are major public health concerns and represent significant risk factors for a plethora of non-communicable diseases. Physical exercise represents a valuable health intervention in both cases, providing benefits for mental and physical health, as well as appetite regulation. While the emerging field of ‘green exercise’ suggests that the presence of nature may amplify the benefits of exercise, the quality of evidence has been questioned. To address this, we recruited 22 healthy females to complete a crossover randomised trial comprising a 75 min walk in both a forest and urban area, separated by 2–7 days. Markers of mood (Profile of Mood States), stress (sympathetic-adreno-medullar [resting heart rate, blood pressure] and hypothalamic–pituitary axis activation [salivary cortisol]) and eating behaviour (energy intake and salivary ghrelin) were measured before and after each walk. While both walking interventions improved mood and reduced physiological stress, the nature intervention (but not the urban intervention) also led to further improvements in total mood disturbance, depression, confusion and esteem-related affect (F(1,21) (Formula presented.) 4.98, p (Formula presented.) 0.037). Salivary ghrelin (F(20) = 0.229, p = 0.637) and energy intake (t(20) = −0.54, p = 0.60) did not respond differently in the two environments. Overall, while walking improved mood and physiological stress in both environments, walking in a forested environment provided additional benefits for mood not seen following the urban walk.©The Author(s), CC BY 4.0
DOI: 10.58132/ncnxgy
title: Self-healing hydrogels incorporating hyaluronic acid, poly(acrylic acid), and ferric ions for flexible sensors, and wound healing

description: This dataset contains data and results from a project focused on the development of multifunctional hydrogels composed of polyacrylic acid (pAAc), hyaluronic acid (HA), and ferric ions (Fe3+) used as non-covalent crosslinkers. The hydrogels were synthesized via a simple one-pot method. The project explores how varying HA content influences the mechanical, adhesive, and functional properties of the resulting materials.Systematic rheological and mechanical testing revealed that incorporating HA improves tensile strength, toughness, and elasticity while preserving the integrity of the polymer network. Notably, the hydrogels demonstrated strong adhesion to a range of surfaces (e.g., porcine tissue) and exhibited excellent self-healing capabilities.Among the formulations tested, the hydrogel containing 0.6% HA (pAAc/Fe3+/HA-0.6%) showed the best balance of mechanical strength and self-healing behavior and was selected for further evaluation. Electrical resistance measurements confirmed its potential as a flexible, wearable sensor, with stable and repeatable responses to deformation. Additional assays indicated that the hydrogel supports wound healing and possesses both antibacterial and antioxidant activity.The data and analyses provided here support the development of robust, biocompatible hydrogels for potential use in wound care, wearable electronics, and other biomedical applications.
DOI: 10.5281/zenodo.15583163
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603j 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 MS250603j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15583164
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603j 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 MS250603j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.16904139
title: Sources of Uncertainty in Quantum and Classical Measurement Dataset

description: This dataset consists of participants' natural language responses to a series of questions on the Measurement Survey, a Physics Education Research assessment survey that studies physics students’ thinking about sources of measurement uncertainty across experimental contexts, including classical and quantum mechanics contexts. We consider this dataset to be especially useful for evaluating and comparing different multiclass classification machine learning techniques for two reasons: i) the text responses are well segmented into distinct ideas due to the structure of the survey question, and ii) the coding scheme applied to the data is mutually exclusive, presenting a true multiclass problem for machine learning. 

The format of the survey is as follows: first, the survey presents an experimental context, then, the survey prompts participants to answer questions in the context of that experimental context. The responses in this dataset come from the first version of the Measurement Survey which consisted of four experimental contexts: Projectile Motion (PM), Brownian Motion (BM), Stern Gerlach (SG), and Single Slit (SS). Each experimental context included a text description, a diagram of the experiment, and a histogram of fictitious experimental results. 

For each experiment, participants were asked to generate a list of sources of uncertainty in response to the prompt: “What is causing the shape of the distribution? List as many causes as you can think of.” The data are presented in long format, where each row represents an item in the lists of sources of uncertainty generated by participants. The Response Id corresponds to each unique participant who responded to the survey, therefore, rows with the same Response Id represent multiple sources of uncertainty listed by the same participant. 

Responses were coded by the research team based on an emergent coding scheme with four categories defined as follows: 

Limitations (L): Reasoning that uncertainty arises from an inability to perfectly measure and model all aspects of a real-world experiment.

Physical Principles (P): Reasoning that uncertainty is inherent in the theoretical abstraction of an experiment. 

Statistics (S): Reasoning that uncertainty is inherent to the nature of experiments and repeating trials. 

Other (O): Non-empty responses that are vague or do not fall into one of the other three codes. 

The dataset is multi-institutional and was collected over multiple semesters. For more details about data collection and the demographics of participants, see the journal articles listed under related works or contact the creators.
DOI: 10.5281/zenodo.16912394
title: Sources of Uncertainty in Quantum and Classical Measurement Dataset

description: This dataset consists of participants' natural language responses to a series of questions on the Measurement Survey, a Physics Education Research assessment survey that studies physics students’ thinking about sources of measurement uncertainty across experimental contexts, including classical and quantum mechanics contexts. We consider this dataset to be especially useful for evaluating and comparing different multiclass classification machine learning techniques for two reasons: i) the text responses are well segmented into distinct ideas due to the structure of the survey question, and ii) the coding scheme applied to the data is mutually exclusive, presenting a true multiclass problem for machine learning. 

The format of the survey is as follows: first, the survey presents an experimental context, then, the survey prompts participants to answer questions in the context of that experimental context. The responses in this dataset come from the first version of the Measurement Survey which consisted of four experimental contexts: Projectile Motion (PM), Brownian Motion (BM), Stern Gerlach (SG), and Single Slit (SS). Each experimental context included a text description, a diagram of the experiment, and a histogram of fictitious experimental results. 

For each experiment, participants were asked to generate a list of sources of uncertainty in response to the prompt: “What is causing the shape of the distribution? List as many causes as you can think of.” The data are presented in long format, where each row represents an item in the lists of sources of uncertainty generated by participants. The Response Id corresponds to each unique participant who responded to the survey, therefore, rows with the same Response Id represent multiple sources of uncertainty listed by the same participant. 

Responses were coded by the research team based on an emergent coding scheme with four categories defined as follows: 

Limitations (L): Reasoning that uncertainty arises from an inability to perfectly measure and model all aspects of a real-world experiment.

Physical Principles (P): Reasoning that uncertainty is inherent in the theoretical abstraction of an experiment. 

Statistics (S): Reasoning that uncertainty is inherent to the nature of experiments and repeating trials. 

Other (O): Non-empty responses that are vague or do not fall into one of the other three codes. 

The dataset is multi-institutional and was collected over multiple semesters. For more details about data collection and the demographics of participants, see the journal articles listed under related works or contact the creators.
DOI: 10.6084/m9.figshare.28356077
title: Preprocessed datasets and model weights for RXNGraphormer

description: This repository provides:

1. Preprocessed reaction datasets for RXNGraphormer pretraining
2. Preprocessed fine-tuning datasets for downstream tasks
3. Pretrained model weights (base & fine-tuned variants)

There is a "readme.md" file in every dataset's zip file, which describes how to put these files
DOI: 10.6084/m9.figshare.28356077.v1
title: Preprocessed datasets and model weights for RXNGraphormer

description: This repository provides:

1. Preprocessed reaction datasets for RXNGraphormer pretraining
2. Preprocessed fine-tuning datasets for downstream tasks
3. Pretrained model weights (base & fine-tuned variants)

There is a "readme.md" file in every dataset's zip file, which describes how to put these files
DOI: 10.15468/dl.yr8wyn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex acetosella L.",
 "Country is Bosnia and Herzegovina"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010301-250525065834625/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.4579021.v1
title: Dataset and R code from “Aridity preferences alter the relative importance of abiotic and biotic drivers on plant species abundance in global drylands”

description: Zip file containing the dataset and R code used to perform the analyses described in “<b>Aridity preferences alter the relative importance of abiotic and biotic drivers on plant species abundance in global drylands</b><b></b>”<br>
DOI: 10.6084/m9.figshare.6860576.v1
title: Academic Recruitment Fields

description: Academic recruitment fields used by the Italian Ministry of Education, Universities and Research (MIUR), which coordinates the National Scientific Qualification (NSQ).
DOI: 10.6084/m9.figshare.7093721.v1
title: The isotopic evolution of the Kohistan Ladakh arc from subduction initiation to continent arc collision

description: Data and Concordia plots of data samples.
DOI: 10.6084/m9.figshare.7699448.v3
title: lfw-funneled.tgz

description: Practice building additional datasets using the datasets of sklearn
DOI: 10.17632/wsh8rxwd38
title: Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channels

description: This dataset contains 1498 datapoints from experimental investigations of droplet impact, spreading, and rebound on superhydrophobic laser-textured surfaces. Data was collected for twelve surface types featuring square grids of laser-made channels with spacings ranging from 50 μm to 800 μm, with either deep or shallow channels. Droplet impact tests were conducted using water and water-glycerol mixtures at droplet viscosity up to 160 mPa∙s, with high-speed imaging at 5000 fps. Extracted parameters include maximum spreading factor, contact time, rebound efficiency, and maximum lamella velocity, alongside key droplet properties such as diameter, velocity, density, surface tension, viscosity, Weber number, and Reynolds number. A supplementary dataset provides analogous data for impacts on a smooth hydrophobic surface (125 further datapoints), mimicking the regions between the laser-made channels. Additionally, scanning electron microscopy images of all surfaces and both static and dynamic contact angle measurements are included. The data was collected between April and December 2024 at the Faculty of Mechanical Engineering, University of Ljubljana, Slovenia. Data on fabrication of surfaces, testing procedures and data reduction is provided in the dataset description file.

The dataset is valuable for research of surface wetting, surface engineering, droplet impacts and for anti-icing applications. It can aid in validating theoretical and numerical models of droplet dynamics, optimizing superhydrophobic surfaces for self-cleaning and drag reduction, and developing machine learning models for droplet impact prediction. The data is particularly relevant for designing anti-icing surfaces by minimizing contact time and maximizing the rebound efficiency, with further applications in 3D printing, coating technologies, and inkjet printing.
DOI: 10.6084/m9.figshare.12568283.v1
title: Dual tobacco use among young adult peer crowds

description: Data were used to examine the association between peer crowd affiliation and dual tobacco use among young adults
DOI: 10.6084/m9.figshare.1619784.v1
title: Mapped solution of microplastic mass based on Maximenko model

description: csv file for the map shown in Figure 3b of Van Sebille et al (2015), ERL. See also the associated lon, lat and area fields.
DOI: 10.6084/m9.figshare.21533982.v2
title: Haber regions

description: A subset of the Haber dataset that only contains the regions. It explicitly does not include the large cells.
<br>
https://www.nature.com/articles/nature24489
DOI: 10.6084/m9.figshare.28424144.v1
title: Data for large-scale system

description: This is data for large-scale power-traffic test system.
DOI: 10.6084/m9.figshare.5122792.v1
title: Supplementary Material for: Proton Pump Inhibitors versus Histamine-2-Receptor Antagonists for the Management of Iatrogenic Gastric Ulcer after Endoscopic Mucosal Resection or Endoscopic Submucosal Dissection: A Meta-Analysis of Randomized Trials

description: <i>Background/Aims:</i> Both proton pump inhibitor (PPI) and histamine-2-receptor antagonist (H<sub>2</sub>RA) are considered to be effective for the treatment of iatrogenic gastric ulcer after endoscopic mucosal resection (EMR) or endoscopic submucosal dissection (ESD). We aimed to systematically evaluate the evidence comparing PPI and H<sub>2</sub>RA for iatrogenic ulcer. <i>Methods:</i> Data from PubMed, Cochrane Library and Google Scholar were searched to identify eligible randomized trials. Outcome measures were delayed bleeding, epigastric pain and ulcer healing. <i>Results:</i> Six full-text studies were identified including a total of 522 patients. Pooled data suggested a significantly lower bleeding rate in the PPI group than in the H<sub>2</sub>RA group (odds ratio (OR) 0.49, 95% confidence interval (CI) 0.25-0.95). Subgroup analysis showed PPI was more effective in the prevention of bleeding than H<sub>2</sub>RA for ESD-induced ulcer (OR 0.41, 95% CI 0.20-0.85) and 8-week duration of medication (OR 0.36, 95% CI 0.17-0.76). There were no differences in the incidence of epigastric pain (OR 0.90, 95% CI 0.53-1.51) and ulcer healing rate after endoscopic therapies between both groups. <i>Conclusion:</i> This meta-analysis shows PPI is superior to H<sub>2</sub>RA for the prevention of delayed bleeding without different effectiveness in the reduction of epigastric pain and in the promotion of ulcer healing after EMR or ESD.
DOI: 10.17632/8pgv5xtrtj
title: O-D pairs between 7:00 a.m. and 8:00 a.m. (the morning rush hour in Beijing)

description: There have been between 66,000 and 69,000 taxis in Beijing over the last several years, almost all of which were equipped with GPS recorders. For this study, we managed to obtain three-month's worth of GPS trajectory data produced by 66,646 taxis from the Beijing Municipal Commission of Transport. The interval between two adjacent data records is one minute or several minutes, depending on the performance of the different GPS recorders. Each data record contains the following information: serial number, vehicle company, terminal ID, time label, WGS84 (World Geodetic System 1984) longitude, WGS84 latitude, mesh longitude, mesh latitude, vehicle speed, vehicle direction, vehicle state, event, and elevation. For our purposes, the most important information from the data records are terminal ID, time label, WGS84 longitude, WGS84 latitude, vehicle speed, and vehicle direction.
DOI: 10.6084/m9.figshare.1098803.v1
title: IGT raw data - heroin group

description: IGT raw data of the heroin group (N = 43)