cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eqj4xe
title: Occurrence Download

description: A dataset containing 3039162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanoida"
 ]
}

 The dataset includes 3039162 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263619-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhxxnb
title: Occurrence Download

description: A dataset containing 4741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria purpurea (L.) Mill.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 4741 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038371-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujph9x
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus profusa Corner"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009989-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u22qd
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "Geometry POLYGON((-57.30469 -57.70415,-18.63281 -5.61599,-67.85156 29.53523,-39.02344 48.45835,-58.00781 61.6064,-58.71094 72.39571,-117.77344 78.49055,-166.99219 73.02259,-169.10156 60.23981,-169.10156 44.59047,-142.38281 52.48278,-102.30469 -2.1089,-81.91406 -23.24135,-89.64844 -58.07788,-57.30469 -57.70415))",
 "HasGeospatialIssue is false",
 "TaxonKey is Neofidelia Moure & Michener, 1955",
 "Year 1960-2021"
 ]
}

 The dataset includes 551 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270302-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.729bj4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castela spinosa Cronquist"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147886-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv4c3j
title: Occurrence Download

description: A dataset containing 328842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium dissectum L."
 ]
}

 The dataset includes 328842 records from 2980 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009950-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6yaz7
title: Occurrence Download

description: A dataset containing 1318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.87514 -19.22926,-67.26481 -19.22926,-67.26481 -11.6941,-77.87514 -11.6941,-77.87514 -19.22926))",
 "HasGeospatialIssue is false",
 "TaxonKey is Calidris virgata",
 "Year 2020-2025"
 ]
}

 The dataset includes 1318 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053914-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g8z6fg69x9
title: Effect of Incentive Spirometry Training on Pulmonary Function and Quality of Life in Cervical Spinal Cord Injury: A Randomized Controlled Trial

description: This dataset is derived from a randomized controlled trial (RCT) investigating the effect of Incentive Spirometry Training (IST) on pulmonary function and quality of life (QoL) in individuals with cervical spinal cord injury (SCI). The study was conducted at the Spinal Cord Injury Unit of the Centre for the Rehabilitation of the Paralysed (CRP), Savar, Dhaka, Bangladesh.

The dataset includes pre- and post-intervention measurements of respiratory outcomes (such as FVC, FEV1, PEFR, and MVV), self-reported dyspnea scores, and health-related quality of life assessments using the SF-36. Participants were randomly assigned to either the intervention group (receiving incentive spirometry training in addition to standard rehabilitation) or the control group (receiving standard rehabilitation only).
DOI: 10.17632/g8z6fg69x9.1
title: Effect of Incentive Spirometry Training on Pulmonary Function and Quality of Life in Cervical Spinal Cord Injury: A Randomized Controlled Trial

description: This dataset is derived from a randomized controlled trial (RCT) investigating the effect of Incentive Spirometry Training (IST) on pulmonary function and quality of life (QoL) in individuals with cervical spinal cord injury (SCI). The study was conducted at the Spinal Cord Injury Unit of the Centre for the Rehabilitation of the Paralysed (CRP), Savar, Dhaka, Bangladesh.

The dataset includes pre- and post-intervention measurements of respiratory outcomes (such as FVC, FEV1, PEFR, and MVV), self-reported dyspnea scores, and health-related quality of life assessments using the SF-36. Participants were randomly assigned to either the intervention group (receiving incentive spirometry training in addition to standard rehabilitation) or the control group (receiving standard rehabilitation only).
DOI: 10.15468/dl.4k8ysb
title: Occurrence Download

description: A dataset containing 98635 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.2_2)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d)"
 ]
 }
 ]
}

 The dataset includes 98635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053882-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vbfk4
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ageneiosus vittatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 39 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053915-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2488377
title: Estimating soil thermal inertia profiles from the passive equilibration of a temperature probe: Supporting data and code

description: This dataset contains measurements of soil thermal properties and organic layer thickness at three field sites on the Seward Peninsula near Nome, Alaska, USA. Code is also provided for estimation of soil thermal properties from temperature data, including a forward heat transfer mode, a library of simulated temperature data, and an inversion scheme to retrieve thermal properties from temperature measurements (Lamb et al., 2025). This dataset and code is published in support of the manuscript “Estimating Soil Thermal Inertia Profiles from the Passive Equilibration of a Temperature Probe” by Lamb et al., 2025, in which an experimental thermal measurements technique is developed. The dataset contains measurements of soil thermal properties and organic layer thickness obtained with an industry standard thermal properties analyzer and direct observations, as well as data generated using the experimental technique to estimate thermal properties and soil structure from temperature observations. All data is reported in .csv format, and all code is written in Python 3.7 using standard packages. This research was performed as a part of the NGEE Arctic project, which aims to advance model predictions of arctic carbon cycle responses to a changing climate over the 21st Century.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.17632/38s6g3p3t3
title: Social Well-Being Moderates Behavioral Therapy Response for Generalized Anxiety Disorder

description: Preprint with full description of hypotheses, method, analyses, and results available via SSRN.

Title: Social Well-Being Moderates Behavioral Therapy Response for Generalized Anxiety Disorder
Abstract ID: 5382809
DOI: 10.17632/38s6g3p3t3.1
title: Social Well-Being Moderates Behavioral Therapy Response for Generalized Anxiety Disorder

description: Preprint with full description of hypotheses, method, analyses, and results available via SSRN.

Title: Social Well-Being Moderates Behavioral Therapy Response for Generalized Anxiety Disorder
Abstract ID: 5382809
DOI: 10.17632/hy7269hgtp
title: In Situ Experimental Study of the 10 Å phase in NaCl-H2O Fluids: Implications for the Deep Water Cycle

description: Raw data for figures in the manuscript.
DOI: 10.17632/hy7269hgtp.2
title: In Situ Experimental Study of the 10 Å phase in NaCl-H2O Fluids: Implications for the Deep Water Cycle

description: Raw data for figures in the manuscript.
DOI: 10.17632/y6w8sznbrw.2
title: Replication Package for Reforming China’s Public Pension System: Fiscal Sustainability and the Challenge of Formality-Based Inequality

description: This directory contains data and files to reproduce numerical exercise and generate the figures and tables in the paper Reforming China’s Public Pension System: Fiscal Sustainability and the Challenge of Formality-Based Inequality

Authors: Han Gao and Bei Lu
DOI: 10.17632/9wy3w6cykn
title: Adhesion extent data for rabbit Achilles tendon full transection model repaired with a 4-strand Becker suture, an additional DegraPol® tube or an additional DegraPol® tube releasing stem cell/tenocyte secretome plus an initial injection of secretome

description: Here we present adhesion extent data gathered from a rabbit Achilles tendon full transection model. We assessed how much of the tissue adhered to the surrounding tissue in cross sections of the rabbit Achilles tendons three weeks post operation compared to the entire circumference. The experimental groups were a) a 4-strand Becker suture, b) a 4-strand Becker suture with a pure DegraPol® tube, c) a 4-strand Becker suture, an injection of 50 microliter of a secretome harvested from a 3:1-ratio cell culture of adipose-derived stem cells:rabbit Achilles tenocytes, and a DegraPol® tube releasing such secretome, and d) the non-treated healthy rabbit Achilles tendons as a control.
DOI: 10.17632/9wy3w6cykn.1
title: Adhesion extent data for rabbit Achilles tendon full transection model repaired with a 4-strand Becker suture, an additional DegraPol® tube or an additional DegraPol® tube releasing stem cell/tenocyte secretome plus an initial injection of secretome

description: Here we present adhesion extent data gathered from a rabbit Achilles tendon full transection model. We assessed how much of the tissue adhered to the surrounding tissue in cross sections of the rabbit Achilles tendons three weeks post operation compared to the entire circumference. The experimental groups were a) a 4-strand Becker suture, b) a 4-strand Becker suture with a pure DegraPol® tube, c) a 4-strand Becker suture, an injection of 50 microliter of a secretome harvested from a 3:1-ratio cell culture of adipose-derived stem cells:rabbit Achilles tenocytes, and a DegraPol® tube releasing such secretome, and d) the non-treated healthy rabbit Achilles tendons as a control.
DOI: 10.17632/9v2jh3mnx9
title: Mango_Leaf_Bd_dataset

description: The Mango Leaf Disease Dataset has been systematically developed to facilitate research in plant disease detection and classification using deep learning and image processing techniques. The dataset focuses on mango leaves, an essential part of agricultural production in tropical and subtropical regions, and includes both healthy samples and leaves affected by common mango diseases.
1. Classes of the Dataset
The dataset is organized into four distinct classes:
1. Healthy
2. Anthracnose
3. Gall Midges 
4. Powdery Mildew 
2. Dataset Composition
• Original Images:
o 500 images per class (total 2,000 original samples).
o Image format: JPG.
• Augmented Images:
o To enhance variability and overcome data scarcity, augmentation techniques such as rotation, flipping, scaling, brightness adjustment, contrast variation, and Gaussian noise addition were applied.
o 512 × 512 resolution: 1,500 images per class.
o 256 × 256 resolution: 1,500 images per class.
o Image format: JPG.
3. Final Dataset Size
• 512 × 512 images: 6,000 samples (1,500 × 4 classes).
• 256 × 256 images: 6,000 samples (1,500 × 4 classes).
• Grand Total (original + augmented): 14,000 JPG images.
DOI: 10.17632/9v2jh3mnx9.2
title: Mango_Leaf_Bd_dataset

description: The Mango Leaf Disease Dataset has been systematically developed to facilitate research in plant disease detection and classification using deep learning and image processing techniques. The dataset focuses on mango leaves, an essential part of agricultural production in tropical and subtropical regions, and includes both healthy samples and leaves affected by common mango diseases.
1. Classes of the Dataset
The dataset is organized into four distinct classes:
1. Healthy
2. Anthracnose
3. Gall Midges 
4. Powdery Mildew 
2. Dataset Composition
• Original Images:
o 500 images per class (total 2,000 original samples).
o Image format: JPG.
• Augmented Images:
o To enhance variability and overcome data scarcity, augmentation techniques such as rotation, flipping, scaling, brightness adjustment, contrast variation, and Gaussian noise addition were applied.
o 512 × 512 resolution: 1,500 images per class.
o 256 × 256 resolution: 1,500 images per class.
o Image format: JPG.
3. Final Dataset Size
• 512 × 512 images: 6,000 samples (1,500 × 4 classes).
• 256 × 256 images: 6,000 samples (1,500 × 4 classes).
• Grand Total (original + augmented): 14,000 JPG images.
DOI: 10.17632/zztwrn36n8.2
title: Dataset of User Reviews from Low-Rated Applications on the Amazon Appstore

description: This dataset provides a comprehensive collection of 79,821 end-user reviews from 64 low-rated software applications on the Amazon Appstore. The dataset is specifically curated to focus on applications that exhibit significant user dissatisfaction, making it a valuable resource for studying the root causes of software failure and negative user reception. The applications span 14 distinct categories, offering a broad view of user feedback across different software domains.

The data was systematically collected using an automated web scraping tool. The selection criteria targeted applications with a user rating of 3 stars (out of 5) or lower and a minimum of 400 reviews to ensure the data reflects a broad consensus of user opinion. The dataset is provided in CSV format and contains three primary columns for each review: the user's rating ('Stars'), the 'Title_of_Review', and the full text of the 'Base_Review'.

This resource is intended for researchers, software developers, requirements engineers, and educators. It is particularly useful for studies in software quality assessment, user experience (UX) analysis, sentiment analysis, issue detection, and for training and validating machine learning and natural language processing (NLP) models. Its unique focus on negative feedback provides an unfiltered and concentrated source of data for understanding why software products fail to meet user expectations.
DOI: 10.6084/m9.figshare.29885546.v1
title: Protocol Scoping Review on the Utilization of the Violence Against Women Act by Survivors.docx

description: This is the scoping review protocol developed for a scoping review on the utilization of the Violence Against Women act by Survivors which aimed to identify gaps and recommendations of utilization by immigrant survivors. The scoping review has been accepted for publication by the Journal of Family Violence.
DOI: 10.17632/pnmwxkpb2m
title: LINF_270015500

description: UstE-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pnmwxkpb2m.1
title: LINF_270015500

description: UstE-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rb4ddwpdz5.2
title: Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations

description: This dataset supports the systematic review titled “Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations.” It includes metadata extracted from 53 peer-reviewed studies published between January 2020 and June 2025. The dataset is organized into four thematic domains: clinical applications, operational impacts, educational implications, and ethical considerations.

Contents:

• PRISMA screening log (initial search results, inclusion/exclusion decisions)
• Study metadata (authors, publication year, country, AI application type, nursing domain)
• Thematic codes and categories used in qualitative synthesis
• Summary tables of AI tools, nursing roles affected, and reported outcomes
• Ethical concerns identified across studies (e.g., data privacy, algorithmic bias)


Format: Excel (.xlsx) and CSV (.csv)
License: CC BY 4.0
Access: Open access via Mendeley Data
DOI: 10.17632/vx4xc9snkm
title: LINF_270013000

description: Cyclic nucleotide-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vx4xc9snkm.1
title: LINF_270013000

description: Cyclic nucleotide-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.akjkaf
title: Occurrence Download

description: A dataset listing the 37 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Germany",
 "Geometry POLYGON((371.18990 47.54660,371.52010 47.54660,371.52010 47.68880,371.18990 47.68880,371.18990 47.54660))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset's 37 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053883-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4w5nvfdbhy
title: Eye-Tracking Data on Reading English Relative Clauses by Farsi and Dutch Speakers

description: In two eye-tracking experiments, we explored whether there is a cross-linguistic influence of L1 Farsi and L1 Dutch on the processing of L2 English subject and object relative clauses. Moreover, we assessed whether these L2 learners rely on the morphological cues in that-clause and who(m)-clause conditions or whether they can also process the structural cues in English relative clauses. 
Forty-two Iranian Farsi-speaking students and thirty Dutch students at the University of Groningen participated in the experiment. They were tested individually in the eye lab at the University of Groningen. Eye movements were recorded using a Tobii 1750 Eye tracker, interfaced with a laptop. The sampling rate was 50 HZ. The materials for this experiment were taken from the items used by Staub (2010) and Staub et al. (2017). The present study used 36 sentences to create four types of relative clauses per item (in total 144 relative clause sentences); subject and direct object relative clauses with either the relative pronoun ‘that’ or the relative pronouns ‘who/whom’.
We divided the English relative clause sentences into six regions: the antecedent, relative pronoun, embedded noun phrase in the relative clause, embedded verb phrase in the relative clause, matrix verb, and post-matrix verb. 
For each region, four reading time measures of first-pass reading time (FP) or gaze duration, First-pass total reading time, Regression path duration (RPD), and Total reading time (TRT) were compared. Statistical analysis was conducted using linear mixed-effects models of the reading times. We used R (R Core Team, 2019) and the lme4 package (Bates et al., 2015) to predict the times of the eye movement measurements (first-pass, first-pass total, total reading time, regression path duration) based on Clause Type (subject versus object) and Type of Pronoun (that-clause versus who(m)-clause). 
As random effects, we included intercepts for subjects and items as well as by-subject and by-item random slopes for the effect of Clause Type and Type of Pronoun and their interaction. First, we created the model with the main effects and then compared it with the model with the interaction. In cases where the model did not converge, we first removed the interaction from the random part, and if necessary, in some cases, also the random slopes for the main effect. In the models, the subject relative was the baseline for Clause Type and that-clause condition was the baseline for the Type of Pronoun. In the case of the interaction of Clause Type and Type of Pronoun, we ran extra analyses to test the effect of Clause Type in the two Types of Pronoun conditions separately.