cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.25673379.v3
title: Cognitive-Behavioural Therapy (CBT) for Outpatients with Anorexia Nervosa: A Systematic Review and Meta-Analysis of Clinical Effectiveness (Datafiles and Guidelines)

description: The datafiles presented relate to a pre-registered systematic review and meta-analysis of outpatient CBT for anorexia nervosa. It was conducted to assess outpatient CBT's effectiveness for anorexia nervosa and explore potential moderators in order to inform clinical practice. Details are currently available via PROSPERO (CRD42023484924), and the results of this review are in the process of being submitted for publication.The documents provided are:An Excel file containing a workbook with the dataset used in this review named "main datafile". The front tab acts as a contents page, and further details of how the data were obtained are given on PROSPERO and in the accompanying Word document.A zip file with CSV versions of each sheet in the above Excel workbook.A Word document titled <i>Reviewer Guidelines for Full Paper Screening, Data Extraction, and Quality Assessment</i>. This document contains the instructions the reviewers used for screening, data extraction, and quality assessment.An Excel file containing the risk of bias assessments conducted for the included studies. The first tab provides overall guidance for each of the three risk-of-bias assessments conducted. Each set of assessments has another tab with guidance followed by the reviewer for each set of assessments.A zip file with CSV versions of each sheet in the above Excel worksheet.*Note. Rossi et al. (2023) was corrected to Rossi et al. (2024) for the published paper. These documents are intended for reading alongside the published paper: http://dx.doi.org/10.1080/16506073.2025.2465745 (accepted for publication in February 2025). <br>
DOI: 10.15131/shef.data.25673379.v4
title: Cognitive-Behavioural Therapy (CBT) for Outpatients with Anorexia Nervosa: A Systematic Review and Meta-Analysis of Clinical Effectiveness (Datafiles and Guidelines)

description: The data files presented relate to a pre-registered systematic review and meta-analysis of outpatient CBT for anorexia nervosa. It was conducted to assess the effectiveness of outpatient CBT for anorexia nervosa and explore potential moderators in order to inform clinical practice. Preregistration: PROSPERO (CRD42023484924)The following documents are intended for reading alongside the published paper: http://dx.doi.org/10.1080/16506073.2025.2465745 (published March 2025).The provided documents are: An Excel file containing a workbook with the dataset used in this review, named "main datafile". The front tab serves as a contents page, and further details on how the data were obtained are provided in PROSPERO and the accompanying Word document.*A zip file with CSV versions of each sheet in the above Excel workbook.A Word document titled <i>Reviewer Guidelines for Full Paper Screening, Data Extraction, and Quality Assessment</i>. This document contains the instructions the reviewers used for screening, data extraction, and quality assessment. A .txt version of this file is also provided. An Excel file containing the risk of bias assessments conducted for the included studies. The first tab provides overall guidance for each of the three risk-of-bias assessments conducted. Each set of assessments has another tab with guidance followed by the reviewer for each set of assessments.A zip file with CSV versions of each sheet in the above Excel worksheet.A Word document titled <i>Holm-Bonferroni Corrections for Results Tables. </i>A .txt version of this file. Populated Meta-Essentials workbooks for each of the included meta-analyses (.csv versions of these workbooks are not provided as Meta-Essentials only works in Excel). There are workbooks for each of the following variables: weight, eating disorder symptoms, depression, anxiety, and quality of life. <i> </i><i>Note. </i>If you download any of the Meta-Essentials workbooks, please keep the following in mind:Workbooks must be opened in Microsoft Excel only, as other spreadsheet programs (e.g., Google Sheets, Numbers) will not run the calculations correctly.When you open a workbook, Excel may display a security warning. Please click “Enable Editing” and, if prompted, “Enable Content” so that all formulas and functions work properly.All formulas, references, and embedded calculations should work exactly as in the original file. The online preview in ORDA may not display calculations correctly but they should work in the downloaded files. If the files do not work for you, or if you wish to run analyses with the data file themselves, we have provided the dataset and you can download the Meta-Essentials workbooks at: https://www.eur.nl/en/erim/research-support/meta-essentials/download*Note. Rossi et al. (2023) was corrected to Rossi et al. (2024) in the published paper.
DOI: 10.15468/dl.3zh6cv
title: Occurrence Download

description: A dataset containing 1563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Hexanchus griseus"
 ]
}

 The dataset includes 1563 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006653-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53qh2x
title: Occurrence Download

description: A dataset containing 3395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hexanchus griseus",
 "Year 1851-2025"
 ]
}

 The dataset includes 3395 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006654-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/bwathc
title: BioDivAbove beetle matrix

description: Counts of beetle species collected from 268 BioDivAbove sampling plots across Hurdal and surrounding municipalities in Southeast Norway. Each row is a plot with UTM coordinates, habitat code and numbers of individuals for 609 beetle species. The data come from window traps set in 2024.
DOI: 10.15493/smcri.24112025
title: A Synthesis of Blue Carbon Stocks, Accumulation rates and Knowledge Gaps in Africa

description: Blue carbon ecosystems (BCEs), including mangroves, salt marshes and seagrasses, play a critical role in global climate mitigation by storing large amounts of atmospheric carbon. Despite Africa’s extensive and diverse coastal ecosystems, assessments of blue carbon stocks and accumulation rates are very scarce. We present a systematic review of blue carbon data in Africa, synthesizing data from 77 publications covering studies from 1 January 1993 to July 2025. Our analysis reveals marked regional variability in sediment organic carbon (SOC) stocks across Africa, based on depth-resolved sediment core data compiled from published studies. Median SOC values for cores extending from the surface to depths of 60, 100, and 200 cm show that mangrove sediments store substantially more carbon (320–372 Mg Corg ha⁻¹) than salt marshes (163 Mg Corg ha⁻¹) or seagrass meadows (86–157 Mg Corg ha⁻¹). Salt marsh and seagrass remain even more underrepresented and poorly quantified. Despite very limited empirical data, carbon accumulation rates in African seagrasses show substantial spatial variability, ranging from low values in Tanzania (24 g Corg m-2 y-1) to high rates in the Seychelles (107 g Corg m-2 y-1), underscoring that regionally comprehensive measurements are required. This study highlighted the need to strengthen technical capacity, expand regional studies, and integrate local knowledge to fully realize the potential of BCEs in supporting climate mitigation and coastal community resilience in Africa. Our findings underscore that this shall be accomplished with coordinated, continent-wide efforts to consolidate blue carbon data and inform policy frameworks, including Nationally Determined Contributions and emerging conservation finance markets. Building on existing open-access initiatives, standardizing methodology and consolidating data will strengthen blue carbon science and policy across Africa.
DOI: 10.6084/m9.figshare.30701950
title: Factors and outcomes associated with acute kidney injury in brain tumor resection patients: insights from a large US database (2010–2019)

description: Acute kidney injury (AKI) is a major perioperative complication following brain tumor resection, yet multi-center studies on this topic remain scarce. This study aimed to determine the incidence, risk factors, and clinical outcomes associated with AKI in patients undergoing brain tumor resection, utilizing a nationally representative dataset. We analyzed brain tumor resection admissions from the United States’ National Inpatient Sample database (2010–2019), identifying hospitalizations with and without AKI using International Classification of Diseases, Ninth Revision, Clinical Modification and International Classification of Diseases, Tenth Revision, Clinical Modification codes. Multivariable logistic regression analyses were performed to evaluate the associations between patient/hospital characteristics, comorbidities, complications and AKI. Among more than 40,000 brain tumor resection admissions, AKI occurred in 3.1% of hospitalizations, with prevalence rising from 1.8% in 2010 to 4.4% in 2019. AKI-associated admissions had higher costs (median $171,904 vs. $99,821, <i>p</i> &lt; .001), longer hospital stays (median 11 vs. 5 days), increased mortality (8.3% vs. 1.2%, <i>p</i> &lt; .001), higher dialysis requirement (1.1% vs. 0.01%, <i>p</i> &lt; .001), and mechanical ventilation (12.1% vs. 3.0%, <i>p</i> &lt; .001). Associated risk factors for AKI included: age ≥65 years, Black/Hispanic race, congestive heart failure, diabetes, fluid and electrolyte disorders, other neurological disorders, obesity, and chronic kidney disease excluding end-stage renal disease. Medical complications associated with increased AKI risk included septicemia, deep vein thrombosis, urinary tract infection, pneumonia, and cerebral edema. Female sex and elective admission were protective factors. Prompt identification of these risk factors is crucial for optimizing perioperative management and improving clinical outcomes.
DOI: 10.6084/m9.figshare.30701950.v1
title: Factors and outcomes associated with acute kidney injury in brain tumor resection patients: insights from a large US database (2010–2019)

description: Acute kidney injury (AKI) is a major perioperative complication following brain tumor resection, yet multi-center studies on this topic remain scarce. This study aimed to determine the incidence, risk factors, and clinical outcomes associated with AKI in patients undergoing brain tumor resection, utilizing a nationally representative dataset. We analyzed brain tumor resection admissions from the United States’ National Inpatient Sample database (2010–2019), identifying hospitalizations with and without AKI using International Classification of Diseases, Ninth Revision, Clinical Modification and International Classification of Diseases, Tenth Revision, Clinical Modification codes. Multivariable logistic regression analyses were performed to evaluate the associations between patient/hospital characteristics, comorbidities, complications and AKI. Among more than 40,000 brain tumor resection admissions, AKI occurred in 3.1% of hospitalizations, with prevalence rising from 1.8% in 2010 to 4.4% in 2019. AKI-associated admissions had higher costs (median $171,904 vs. $99,821, <i>p</i> &lt; .001), longer hospital stays (median 11 vs. 5 days), increased mortality (8.3% vs. 1.2%, <i>p</i> &lt; .001), higher dialysis requirement (1.1% vs. 0.01%, <i>p</i> &lt; .001), and mechanical ventilation (12.1% vs. 3.0%, <i>p</i> &lt; .001). Associated risk factors for AKI included: age ≥65 years, Black/Hispanic race, congestive heart failure, diabetes, fluid and electrolyte disorders, other neurological disorders, obesity, and chronic kidney disease excluding end-stage renal disease. Medical complications associated with increased AKI risk included septicemia, deep vein thrombosis, urinary tract infection, pneumonia, and cerebral edema. Female sex and elective admission were protective factors. Prompt identification of these risk factors is crucial for optimizing perioperative management and improving clinical outcomes.
DOI: 10.17632/bttpnpy64p
title: Detection of Anaplasma, Ehrlichia, Rickettsia, Coxiella, Theileria and Babesia spp. co-infections in over 20 wildlife species in South African natural parks

description: This dataset contains raw data of reverse line blot testing for various tick-borne diseases (Anaplasma, Ehrlichia, Rickettsia, Coxiella, Theileria and Babesia species) in a wide range of South African wild mammals.
DOI: 10.17632/bttpnpy64p.2
title: Detection of Anaplasma, Ehrlichia, Rickettsia, Coxiella, Theileria and Babesia spp. co-infections in over 20 wildlife species in South African natural parks

description: This dataset contains raw data of reverse line blot testing for various tick-borne diseases (Anaplasma, Ehrlichia, Rickettsia, Coxiella, Theileria and Babesia species) in a wide range of South African wild mammals.
DOI: 10.17632/hby6drmgy9
title: Transcriptome-wide mRNP condensation precedes stress granule formation and excludes new mRNAs. Glauninger, Bard, Wong Hickernell et al.

description: Original imaging data for Glauninger, Bard, Wong Hickernell et al. "Transcriptome-wide mRNP condensation precedes stress granule formation and excludes new mRNAs."
DOI: 10.17632/hby6drmgy9.1
title: Transcriptome-wide mRNP condensation precedes stress granule formation and excludes new mRNAs. Glauninger, Bard, Wong Hickernell et al.

description: Original imaging data for Glauninger, Bard, Wong Hickernell et al. "Transcriptome-wide mRNP condensation precedes stress granule formation and excludes new mRNAs."
DOI: 10.13140/rg.2.2.17566.40007
title: Supplementary Notes: The Circuit Trilogy & Contingency Science Framework
DOI: 10.5281/zenodo.15742815
title: Dataset for: First documented of stingless bee mortality and related colony demographics during an unprecedented heatwave

description: Dataset for: First documented of stingless bee mortality and related colony demographics during an unprecedented heatwave
DOI: 10.5281/zenodo.17693221
title: Data: Large Language Models Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search

description: Data for the following research paper:

Title: Large Language Modles Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search

Code: https://github.com/osome-iu/fact_check_rag_osome

Authors: Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan, Filippo Menczer

---

These files are intended to be downloaded and used with the code repository linked above. They’re too large to include directly on GitHub.

---

Unpacking the data tarball--------------------------

This repository includes a compressed archive named data.tar.gz that contains all required data files.

First, clone the GitHub repository linked above. Second, download the data.tar.gz file stored here. Then, move it into the project root directory of the cloned GitHub repository.

Then extract the data from the archive, by running the following command from the project root:



tar -xzvf data.tar.gz


This will recreate the data/ directory and its full contents.

Additional notes:



If you are on Windows without WSL, you may need a tool such as Git Bash, 7-Zip, WinRAR, or Windows Subsystem for Linux (WSL) to unpack the tarball.

Once extracted, see the README files for details about all files

Once extracted, all data represents approximately 5.3GBs
DOI: 10.5281/zenodo.17693220
title: Data: Large Language Models Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search

description: Data for the following research paper:

Title: Large Language Modles Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search

Code: https://github.com/osome-iu/fact_check_rag_osome

Authors: Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan, Filippo Menczer

---

These files are intended to be downloaded and used with the code repository linked above. They’re too large to include directly on GitHub.

---

Unpacking the data tarball--------------------------

This repository includes a compressed archive named data.tar.gz that contains all required data files.

First, clone the GitHub repository linked above. Second, download the data.tar.gz file stored here. Then, move it into the project root directory of the cloned GitHub repository.

Then extract the data from the archive, by running the following command from the project root:



tar -xzvf data.tar.gz


This will recreate the data/ directory and its full contents.

Additional notes:



If you are on Windows without WSL, you may need a tool such as Git Bash, 7-Zip, WinRAR, or Windows Subsystem for Linux (WSL) to unpack the tarball.

Once extracted, see the README files for details about all files

Once extracted, all data represents approximately 5.3GBs
DOI: 10.5519/qd.v5m60hog
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.15468/dl.gra3hh
title: Occurrence Download

description: A dataset containing 7983619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 7983619 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006656-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.ed8vww62
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (113 records)
DOI: 10.15468/dl.s2h4tj
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia killipiana"
 ]
}

 The dataset includes 63 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006660-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyymrf
title: Occurrence Download

description: A dataset containing 9666577 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiroptera"
 ]
}

 The dataset includes 9666577 records from 7653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006644-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ee8ya
title: Occurrence Download

description: A dataset containing 33022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-28.35033 38.78529,-28.24889 38.61029,-27.85382 38.49338,-27.69365 38.52681,-27.65361 38.62072,-28.02199 38.73533,-28.26491 38.80818,-28.35033 38.78529))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 33022 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009542-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh2479
title: Occurrence Download

description: A dataset containing 1399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Shiraia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1399 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004153-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7xzp3
title: Occurrence Download

description: A dataset containing 1986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stagonosporopsis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1986 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004154-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13840087
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17689636
title: The Weaver Somatic Trigger Protocol: A Voluntary Middle-Ear Vibration Method for On-Demand High-Resolution Remote Viewing
DOI: 10.15468/dl.jm74ja
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Briansuttonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004155-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.yljiehe5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (53 records)
DOI: 10.5281/zenodo.17623412
title: Supplementary Materials for "From Boardrooms to Platforms: Elite Brokerage and Digital Influence in Chilean Pro-Market Think Tanks"

description: This dataset contains supplementary materials for the study "From Boardrooms to Platforms: Elite Brokerage and Digital Influence in Chilean Pro-Market Think Tanks". It includes network data of Chilean think tanks CEP and FPP, social media engagement metrics from Facebook, TikTok, and YouTube (2012-2024), and analysis code for social network analysis and platform-specific modeling. Data support the mixed-methods analysis of performative brokerage across hybrid media environments.
DOI: 10.5281/zenodo.17623413
title: Supplementary Materials for "From Boardrooms to Platforms: Elite Brokerage and Digital Influence in Chilean Pro-Market Think Tanks"

description: This dataset contains supplementary materials for the study "From Boardrooms to Platforms: Elite Brokerage and Digital Influence in Chilean Pro-Market Think Tanks". It includes network data of Chilean think tanks CEP and FPP, social media engagement metrics from Facebook, TikTok, and YouTube (2012-2024), and analysis code for social network analysis and platform-specific modeling. Data support the mixed-methods analysis of performative brokerage across hybrid media environments.
DOI: 10.15468/dl.rj4thv
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004156-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.ovi7wuqu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.34740/kaggle/dsv/13840121
title: Customer IT Support - Ticket Dataset