cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m3m4bw
title: Occurrence Download

description: A dataset containing 6834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquilegia L."
 ]
}

 The dataset includes 6834 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014731-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvzyes
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valeriana longifolia"
 ]
}

 The dataset includes 122 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038135-251025141854904/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/13758759
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.8pptj6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ommatotriton nesterovi"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17625517
title: QUESTIONNAIRE ON The Impact of Employer Branding on Job Satisfaction in the Retail Sector of Lima 2025
DOI: 10.5281/zenodo.17625518
title: QUESTIONNAIRE ON The Impact of Employer Branding on Job Satisfaction in the Retail Sector of Lima 2025
DOI: 10.5281/zenodo.17624628
title: Dataset for "Reassessing Free-Riding in Student Teamwork: An Ethical-Analytical Framework for Evaluating Collaboration in Higher Education"

description: This repository contains the full dataset and documentation used in the study “Reassessing Free-Riding in Student Teamwork: An Ethical-Analytical Framework for Evaluating Collaboration in Higher Education”.The project investigates the prevalence, drivers, and perception of free-riding in academic group work, based on a cross-sectional survey of 407 students in Polish higher education.

The dataset was collected using a Computer-Assisted Web Interviewing (CAWI) method in June 2024. It captures students’ experience with teamwork, personal free-riding practices, instructor behaviour, and contextual factors that may foster or inhibit free-riding. The unit of analysis is an individual student’s response. Each row represents one respondent.

The repository includes:





dataset.xlsx – Cleaned survey dataset prepared for reuse (no formulas, no personally identifiable information)




README/codebook – Full variable descriptions, scale explanations and coding instructions
DOI: 10.5281/zenodo.17624629
title: Dataset for "Reassessing Free-Riding in Student Teamwork: An Ethical-Analytical Framework for Evaluating Collaboration in Higher Education"

description: This repository contains the full dataset and documentation used in the study “Reassessing Free-Riding in Student Teamwork: An Ethical-Analytical Framework for Evaluating Collaboration in Higher Education”.The project investigates the prevalence, drivers, and perception of free-riding in academic group work, based on a cross-sectional survey of 407 students in Polish higher education.

The dataset was collected using a Computer-Assisted Web Interviewing (CAWI) method in June 2024. It captures students’ experience with teamwork, personal free-riding practices, instructor behaviour, and contextual factors that may foster or inhibit free-riding. The unit of analysis is an individual student’s response. Each row represents one respondent.

The repository includes:





dataset.xlsx – Cleaned survey dataset prepared for reuse (no formulas, no personally identifiable information)




README/codebook – Full variable descriptions, scale explanations and coding instructions
DOI: 10.48324/dandi.000021/0.251116.2246
title: Allen Institute - Visual Coding - Neuropixels (Brain Observatory 1.1 Stimulus Set)

description: Allen Institute October 2019 Mouse extracellular electrophysiology data approximately matching two-photon brain observatory stimulus set. 

For more information, see https://portal.brain-map.org/explore/circuits/visual-coding-neuropixels

Data are subject to Allen Institute terms of use, available at: http://www.alleninstitute.org/legal/terms-use/
DOI: 10.48324/dandi.000022/0.251116.2247
title: Allen Institute - Visual Coding - Neuropixels (Functional Connectivity Stimulus Set)

description: Allen Institute October 2019 Mouse extracellular electrophysiology data, collected under analogous conditions to the two-photon Brain Observatory imaging experiments, with mice shown a subset of stimuli with a higher number of repeats. 

For more information, see https://portal.brain-map.org/explore/circuits/visual-coding-neuropixels

Data are subject to Allen Institute Terms of Use policy, available at: http://www.alleninstitute.org/legal/terms-use/
DOI: 10.15468/dl.bjm5qc
title: Occurrence Download

description: A dataset containing 3226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Micrurus fulvius"
 ]
}

 The dataset includes 3226 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038137-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25948/y133-6t58
title: Spatial Layer of HEVAE Vegetation Groundwater Dependent Ecosystems Value in NSW

description: NSW DoI Water has adopted the Guidelines for Identifying High Ecological Value Aquatic Ecosystems (HEVAE) framework developed by the Australian Commonwealth Government. In the current assessment for NSW, the HEVAE consists of four key criteria which include diversity, distinctiveness, naturalness and vital habitat. Therefore, the HEVAE vegetation GDE value layer is a combination of four individual criterion layers. The final or overall HEVAE score was determined for vegetation PCT polygons which has a high probability of being groundwater dependent. This was calculated by adding together the final scores for each criterion (Naturalness, Diversity, Distinctiveness and Vital Habitat). This score was then standardised by dividing by the maximum combined HEVAE score for a whole catchment’s vegetation GDE polygons to provide an even spread of score outcomes between 0 (lowest) and 1 (highest). For ease of data modelling and management, the dataset was divided into the following catchment management areas; Border Rivers-Gwydir, Central Tablelands, Central West, Hawkesbury-Nepean, Hunter-Central Rivers, Lachlan, Lower Murray Darling, Murray, Murrumbidgee, Namoi, Northern Rivers, Southern Rivers, Southern Tablelands, Sydney Metro and Western Division (MDB and far west subdivided further into the IBRA Sub regions).
DOI: 10.48331/scielodata.mh6qk1/wwze7a
title: QuestionarioFinal.docx

description: A Word document (.docx) containing the full questionnaire used in the research. The document includes all open-ended and closed-ended questions organized by thematic sections. The file presents only the questions — no participant responses are included — and serves to document the complete research instrument used for data collection.
DOI: 10.48331/scielodata.mh6qk1/qwtv1k
title: ResultadosQuestionarios.xlsx

description: The Excel (.xlsx) file contains a complete database of responses obtained through the questionnaire. The file structure is organized into multiple tabs.
The dataset includes: - Main table with all individual participant responses, organized by question and analytical category; - Automatic graphs generated from the responses, allowing visualization of percentage distributions and comparisons between variables; - Statistical summary with the total number of valid responses, participation rate, and survey duration
DOI: 10.48331/scielodata.mh6qk1/6zdovs
title: GrupoDeFoco.png

description: Screenshot of the online focus group meeting held on July 11, 2023, via Google Meet.
DOI: 10.48331/scielodata.mh6qk1/qwys2m
title: readme.txt

description: Readme.txt, containing the author's contact information, a brief methodological description and contextualization, and a description of the presented file.
DOI: 10.48331/scielodata.mh6qk1
title: Data for: Guidelines and strategies to implement and operationalize WEEE LRS in small Brazilian municipalities

description: The dataset contains the full set of responses collected through a structured online questionnaire and the results of a focus group session conducted as part of the research on the challenges of implementing and operationalizing Waste Electrical and Electronic Equipment (WEEE) Reverse Logistics Systems (RLS) in small municipalities.

The Excel spreadsheet includes both raw and aggregated data from the questionnaire, which comprises open-ended and closed-ended questions. The survey was developed using the Federal University of Espírito Santo’s electronic platform, designed to host research instruments for both internal and external audiences. 
The questionnaire collected information on the sector represented by the respondents (academic, community, business, institutional, rural, and others) and their geographical location (municipality and state). For each challenge presented, participants were asked to select one of three options: Agree, Disagree, or I don’t know how to give an opinion. To complement the quantitative data, open-ended questions were included at the end of each section to gather qualitative insights and contextual comments.

In addition to the survey data, the dataset includes an image of the focus group session, which served to explore and validate the findings derived from the questionnaire. The focus group was held online on July 11, 2023, via Google Meet, with the participation of 10 representatives from academic, business, and institutional sectors, as well as organizations involved in recyclable material management.

The session followed a structured agenda: a 10-minute presentation introducing the research and the Current Reality Tree (CRT) methodology, followed by brief participant introductions and a 45-minute collaborative exercise using Figma software to construct the CRT.
DOI: 10.15468/dl.d429cb
title: Occurrence Download

description: A dataset containing 1199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ommatotriton vittatus"
 ]
}

 The dataset includes 1199 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038139-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urgnwn
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-135.20667 24.10051,-85.79333 24.10051,-85.79333 43.89949,-135.20667 43.89949,-135.20667 24.10051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lampropeltis pyromelana",
 "Year 1970-2020"
 ]
}

 The dataset includes 282 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038140-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17625532
title: EMERGENCE: A Human-Centered Artificial Intelligence Platform for Pre-Hospital Emergency Care

description: Globally, over 4.4 million deaths attributable to injuries occur annually, with a substantial proportion transpiring during the critical pre-hospital "golden hour," encompassing out-of-hospital cardiac arrest (OHCA), major trauma, acute stroke, and severe anaphylaxis [1]. Contemporary emergency medical services (EMS) are encumbered by fragmented instrumentation, engendering mean treatment delays of 15 min [2] and protracted cognitive workloads (NASA-TLX scores ≈65) [3]. Herein, we delineate EMERGENCE, an integrated, ruggedized platform that amalgamates continuous multi-parameter physiological monitoring, microfluidic point-of-care (POC) diagnostics, automated therapeutic administration, edge-based artificial intelligence (AI), and secure telemedicine into a singular apparatus. Engineered for autonomous functionality exceeding 72 h, EMERGENCE attains IP67 ingress protection and adheres to ISO 13485, IEC 60601-1, and FDA Software as a Medical Device (SaMD) paradigms [4]. The AI subsystem furnishes evidence-based, confidence-calibrated decision support, mandating dual authorization (biometric authentication coupled with remote clinician oversight or AI confidence exceeding 95%) for high-acuity interventions [5]. Targeted unit cost is $1200, facilitating scalability in low- and middle-income countries (LMICs). This exposition articulates the rigorous theoretical underpinnings, architectural schema, mathematical formulations, safety engineering protocols, bias attenuation strategies, ethical imperatives, and a 36-month validation trajectory. Closed-form simulations leveraging physiologically calibrated synthetic datasets prognosticate a 40%–60% diminution in time-to-treatment, commensurate with an absolute OHCA survival augmentation of up to 22 percentage points [6].
DOI: 10.5281/zenodo.17625533
title: EMERGENCE: A Human-Centered Artificial Intelligence Platform for Pre-Hospital Emergency Care

description: Globally, over 4.4 million deaths attributable to injuries occur annually, with a substantial proportion transpiring during the critical pre-hospital "golden hour," encompassing out-of-hospital cardiac arrest (OHCA), major trauma, acute stroke, and severe anaphylaxis [1]. Contemporary emergency medical services (EMS) are encumbered by fragmented instrumentation, engendering mean treatment delays of 15 min [2] and protracted cognitive workloads (NASA-TLX scores ≈65) [3]. Herein, we delineate EMERGENCE, an integrated, ruggedized platform that amalgamates continuous multi-parameter physiological monitoring, microfluidic point-of-care (POC) diagnostics, automated therapeutic administration, edge-based artificial intelligence (AI), and secure telemedicine into a singular apparatus. Engineered for autonomous functionality exceeding 72 h, EMERGENCE attains IP67 ingress protection and adheres to ISO 13485, IEC 60601-1, and FDA Software as a Medical Device (SaMD) paradigms [4]. The AI subsystem furnishes evidence-based, confidence-calibrated decision support, mandating dual authorization (biometric authentication coupled with remote clinician oversight or AI confidence exceeding 95%) for high-acuity interventions [5]. Targeted unit cost is $1200, facilitating scalability in low- and middle-income countries (LMICs). This exposition articulates the rigorous theoretical underpinnings, architectural schema, mathematical formulations, safety engineering protocols, bias attenuation strategies, ethical imperatives, and a 36-month validation trajectory. Closed-form simulations leveraging physiologically calibrated synthetic datasets prognosticate a 40%–60% diminution in time-to-treatment, commensurate with an absolute OHCA survival augmentation of up to 22 percentage points [6].
DOI: 10.15468/dl.c3k9zw
title: Occurrence Download

description: A dataset containing 33794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.98228 50.75551,33.29218 50.75551,33.29218 52.38945,29.98228 52.38945,29.98228 50.75551))",
 "HasGeospatialIssue is false",
 "Month is one of (October, September, August)"
 ]
}

 The dataset includes 33794 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038138-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ppmdv
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-119.762 43.44,-116.838 43.44,-116.838 45.678,-119.762 45.678,-119.762 43.44))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bromus tectorum"
 ]
}

 The dataset includes 239 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038141-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fhypk
title: Occurrence Download

description: A dataset containing 516001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-95.10565 28.28381,-93.63307 29.17484,-91.09029 28.63506,-88.46791 28.55753,-88.37601 29.43108,-89.13064 30.04986,-91.26387 30.85733,-91.62294 31.40923,-96.57217 31.11895,-95.10565 28.28381))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ardea alba"
 ]
}

 The dataset includes 516001 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038126-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8mksn
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.68943 40.50622,-90.80891 40.50622,-90.80891 44.70868,-93.68943 44.70868,-93.68943 40.50622))",
 "TaxonKey is Castor canadensis"
 ]
}

 The dataset includes 402 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038143-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/g5uenj
title: Replication Data for "Dating the Ames Astrobleme, Oklahoma, USA: A possible new link to the Late Devonian"

description: The Ames impact structure (Oklahoma) is a buried, oil-producing crater. Conodont biostratigraphy of the crater fill indicates a Late Ordovician age, consistent with formation during the Ordovician Meteor Event triggered by the fragmentation of the parent L-chondrite asteroid. U–Pb zircon dates from its impact melt portion, conducted using Secondary Ion Mass Spectrometry and Laser Ablation–Inductively Coupled Plasma–Mass Spectrometry (n = 37 spots), yield a Mesoproterozoic emplacement age of the impacted granodiorite (1411 ± 23 Ma, ±2σ). However, Concordia regression defines a lower intercept of 374.9 ± 5.3 Ma. Cathodoluminescence and electron backscattered diffraction images reveal that most zircons, including the youngest Devonian-age grains, show primary oscillatory zoning and lack deformation, consistent with melt crystallization. However, two have clear impact-related textures, including regions of low-angle grain boundaries within microcracks and discrete arrays of granular zircon grains crosscutting oscillatory growth zoning. Plagioclase (n = 6 samples, 40Ar/39Ar) yields Late Carboniferous (~320.3 Ma) and Permian (267.3 ± 1.6 Ma) dates, likely related to hydrothermal alteration and coincident with the thermal maturation of hydrocarbons in the crater. Based on the youngest zircon dates, the Ames impact structure may record activity near the Frasnian–Famennian boundary, contemporaneous with other North American impacts.
DOI: 10.15468/dl.mg6qst
title: Occurrence Download

description: A dataset containing 16683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Arecaceae",
 "Year 2018-2019"
 ]
}

 The dataset includes 16683 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038145-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48331/scielodata.0itjsl/7t6tlo
title: Apendice A.xlsx

description: Decretos municipais LGPD
DOI: 10.48331/scielodata.0itjsl/brr43l
title: Readme.txt

description: README
DOI: 10.48331/scielodata.0itjsl
title: Data for: Proteção e Uso de Dados: Análise da robustez das Estratégias das Capitais Brasileiras

description: Decretos municipais LGPD
DOI: 10.34740/kaggle/dsv/13758802
title: Dataset jadwal event lariku.info
DOI: 10.34740/kaggle/dsv/13758800
title: Berita UII
DOI: 10.6084/m9.figshare.28440332
title: Data, python code and data visualisations used in the paper: Deploying small vertical axis wind turbines on urban rooftops — A parametric, dynamic, and hybrid life cycle energy and greenhouse gas emissions analysis

description: This data bundle contains:An excel file containing all relevant data and graphs used to quantify the energy return on investment (EROI) and greenhouse gas emissions return on investment (GHGROI) of small vertical axis wind turbines deployed on the roofs of buildings in Brussels, BelgiumA python script used to conduct a parametric analysis of the EROI and GHROI for 163 170 cases, across various parameters and displaying the results as parallel coordinates plotsAn interactive html of the parallel coordinates plot of the parametric analysis conducted with the python script
DOI: 10.6084/m9.figshare.28440332.v1
title: Data, python code and data visualisations used in the paper: Deploying small vertical axis wind turbines on urban rooftops — A parametric, dynamic, and hybrid life cycle energy and greenhouse gas emissions analysis

description: This data bundle contains:An excel file containing all relevant data and graphs used to quantify the energy return on investment (EROI) and greenhouse gas emissions return on investment (GHGROI) of small vertical axis wind turbines deployed on the roofs of buildings in Brussels, BelgiumA python script used to conduct a parametric analysis of the EROI and GHROI for 163 170 cases, across various parameters and displaying the results as parallel coordinates plotsAn interactive html of the parallel coordinates plot of the parametric analysis conducted with the python script
DOI: 10.5281/zenodo.17625534
title: Raw 16S rRNA Sequencing Data for SMFC Boron Removal Study

description: This dataset contains raw 16S rRNA sequencing data (FASTQ format) obtained from the anode biofilm of sediment microbial fuel cell systems developed to investigate boron removal and electrogenic microbial activity. The file includes the original unprocessed MFC.fq sequence data used for microbial community identification in the associated manuscript.
DOI: 10.5281/zenodo.17625535
title: Raw 16S rRNA Sequencing Data for SMFC Boron Removal Study

description: This dataset contains raw 16S rRNA sequencing data (FASTQ format) obtained from the anode biofilm of sediment microbial fuel cell systems developed to investigate boron removal and electrogenic microbial activity. The file includes the original unprocessed MFC.fq sequence data used for microbial community identification in the associated manuscript.