cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28193483.v5
title: <b>Management solutions to handle the global-scale reactive nitrogen crisis</b>

description: <b>Abstract</b>The global reactive nitrogen (Nr) crisis presents a pressing challenge, requiring practices that balance Nr losses and crop productivity. Here, we quantitatively synthesize the effect of 14 common management practices on Nr losses and crop productivity by reviewing 146 available meta-analyses and conduct a second-order meta-analysis based on 6382 unique primary studies comprising 20,167 paired observations. We identify four globally scalable ‘win-win’ practices: enhanced-efficiency fertilizers, reduced nitrogen inputs, optimized fertilization methods, and biochar amendments. These practices mitigate Nr losses—reducing N₂O (-12–35%), NO (-22–35%), NH₃ (-20–40%), and leaching or runoff (-18–27%)—while enhancing nitrogen use efficiency (23–71%), uptake (9–21%), and crop yield (9–15%). By quantifying synergistic benefits across diverse agroecosystems, our findings facilitate global movements commensurate with the reactive nitrogen crisis without compromising food security.<b>Keywords</b>: Reactive nitrogen; Second-order meta-analysis, Nitrogen mitigation, Crop productivity, Sustainable agriculture<br><br><br><b>1. Dataset.xlsx</b>Contains the whole dataset used for the study.<b>2. Figure1_Xu.rmd</b>R Markdown file for generating Figure 1.<b>3. Fig1_Data_2.tsv</b>Data file in TSV format used for Figure 1.<b>4. Fig1_Data_1.xlsx</b>Another dataset supporting Figure 1.<b>5. Figure2_Xu.rmd</b>R Markdown file for generating Figure 2.<b>6. Fig2_Data.xlsx</b>Data file supporting Figure 2.<b>7. Figure3_Xu.rmd</b>R Markdown file for generating Figure 3.<b>8. Fig3_Data.xlsx</b>Data file for Figure 3.<b>9. Unique Primary Studies.xlsx</b>A collection of primary studies referenced in the research.<b>10. Model_Result_Example.html</b>An HTML output file displaying the results of the meta-analysis.Contains model summaries and statistical outputs.For any additional requests, please contact <b>Shengwen Xu (shengwenxu@outlook.com)</b>.
DOI: 10.15468/dl.hugg9b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((34.9038 27.8147,35.2246 28.8496,26.9648 28.8496,26.9648 19.8496,35.9648 19.8496,35.9648 24.4806,35.4928 25.0593,34.4963 26.7709,34.4829 27.231,34.9038 27.8147))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011743-250525065834625/datasets/export for details.
DOI: 10.15468/dl.r7n963
title: Occurrence Download

description: A dataset containing 1617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 1617 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011744-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xha79
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Greece",
 "TaxonKey is Ursus Linnaeus, 1758",
 "Year 2019-2024"
 ]
}

 The dataset includes 70 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011745-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h453q
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.1447 -34.2546,26.6413 -34.1504,17.9648 -34.1504,17.9648 -34.5378,18.3444 -34.8391,18.8711 -34.8843,19.4851 -35.2658,19.9376 -35.3352,20.7057 -34.9616,21.9281 -34.8692,22.6401 -34.5158,23.3842 -34.6063,23.712 -34.499,24.8223 -34.7143,25.2443 -34.5061,25.7729 -34.5304,26.1447 -34.2546))"
 ]
}

 The dataset includes 285 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011746-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e205581v1-180523
title: Data and Code for: "Universalism: Global Evidence"

description: This paper leverages nationally representative surveys across 60 countries and 64,000 respondents to present novel stylized facts about the relationship-specific nature of altruism. Across individuals, universalist preferences systematically vary with demographics such as age and religiosity, and are predictive of many left-wing political views, albeit in culturally highly heterogeneous ways. Across countries, universalism is strongly linked to a broader radius of trust. Looking at origins, universalism varies with the economic, political and religious organization of societies in ways that are consistent with the idea that the scope of altruism is partly shaped by economic incentives and democracy.<br><br>This repository contains code and data to reproduce the results contained in the paper.
description: Nationally representative sample in 60 different countries. Samples are representative of adult population &gt; 18 years of age.
DOI: 10.15468/dl.bxqfnn
title: Occurrence Download

description: A dataset containing 273543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Glycine Willd."
 ]
}

 The dataset includes 273543 records from 650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzjg8p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 -7.1504,17.9648 -7.1504,17.9648 -16.1504,26.9648 -16.1504,26.9648 -7.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011747-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28588859
title: Unambiguous Identification of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride

description: Proof of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride
DOI: 10.6084/m9.figshare.28588859.v2
title: Unambiguous Identification of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride

description: Proof of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride
DOI: 10.6084/m9.figshare.28588859.v1
title: Unambiguous Identification of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride

description: Proof of the Indirect Band Nature of Atomically Thin Hexagonal Boron Nitride
DOI: 10.15468/dl.9jjss2
title: Occurrence Download

description: A dataset containing 119545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Equisetum arvense L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 119545 records from 478 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011742-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/15257
title: ArB(OH)2-cyclic-trimer+benzoic+amine-ts, Def2-TZVPP, G =-4197.420062,, DG = 26.9, (lowest cyclic) N-Methyl benzylamine (Reactants -4,315.353858) G = -4315.293483 DG = 37.9

description: Gaussian 16 (C01) calculation
DOI: 10.15468/dl.4562fm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 -16.1504,17.9648 -16.1504,17.9648 -25.1504,26.9648 -25.1504,26.9648 -16.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011748-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ctes4c
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Miopithecus ogouensis Kingdon, 1997"
 ]
}

 The dataset includes 116 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011749-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tgousm
title: Replication Data for: Do Politicians’ Genders Influence Voter Persuasion?

description: Voter preferences for a politician’s gender have been considered a potential cause of women’s underrepresentation. Although recent studies demonstrate that voters do not dislike women candidates in elections, they may still doubt women’s competence and see persuasive behavior as counter-stereotypical for women. This may lead to the prediction that female politicians are less effective in persuading voters through their policy statements compared to men. However, evidence on this issue is scarce and mixed, with existing studies often having notable weaknesses in their experimental design. To address this problem in the literature, we carefully designed and conducted two preregistered survey experiments in the US and Japan, where electoral rules are candidate-centered, and women’s underrepresentation is severe compared to other developed countries. We asked respondents how much they agreed with the policy statement of a fictitious politician whose gender was randomized in a mocked campaign website or a municipality council newsletter. We also varied the statement’s issue area and ideological position to examine whether persuasion is more effective when it aligns with gender stereotypes. The results showed no significant difference in policy persuasiveness between women and men politicians. Moreover, we found partial evidence that women politicians had an advantage when they claimed gender-stereotype statements in Japan, while the opposite was true in the US.
DOI: 10.15468/dl.rhnr2j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 10.8496,17.9648 10.8496,17.9648 1.8496,26.9648 1.8496,26.9648 10.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011750-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15557780
title: cBioPortal Content Chroma Databases for LangChain LLM Chatbot Applications

description: Needs .env with following keys with FIXME edited.

AZURE_OPENAI_ENDPOINT="https://FIXME.openai.azure.com"AZURE_OPENAI_API_KEY="FIXME"AZURE_OPENAI_API_VERSION="2023-05-15"

Contains vector databases for cBioPortal documentation, Google Groups, and study articles; data collected around July 2024.

Install

uv venvsource .venv/bin/activateuv pip install -r pyproject.toml

Run

python chroma_vectorstore_example.py
DOI: 10.15468/dl.kmdd7v
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 {
 "or" : [
 "Geometry POLYGON((-151.92355 64.96953,-149.53482 64.96953,-149.53482 65.88008,-151.92355 65.88008,-151.92355 64.96953))",
 "Geometry POLYGON((-337.43031 53.66469,-337.11679 53.66469,-337.11679 53.85005,-337.43031 53.85005,-337.43031 53.66469))",
 "Geometry POLYGON((-340.01162 49.88047,-339.75432 49.88047,-339.75432 50.02947,-340.01162 50.02947,-340.01162 49.88047))",
 "Geometry POLYGON((-151.08228 59.89855,-150.67692 59.89855,-150.67692 60.10123,-151.08228 60.10123,-151.08228 59.89855))",
 "Geometry POLYGON((-106.95772 33.82811,-106.67438 33.82811,-106.67438 34.03968,-106.95772 34.03968,-106.95772 33.82811))",
 "Geometry POLYGON((-112.02816 38.95531,-111.57062 38.95531,-111.57062 39.31021,-112.02816 39.31021,-112.02816 38.95531))",
 "Geometry POLYGON((-333.30163 -27.17247,-333.001 -27.17247,-333.001 -26.50184,-333.30163 -26.50184,-333.30163 -27.17247))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 289 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011751-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50g3hb05
title: MassIVE MSV000098059 - Ice plant salt-induced total protein
title: Total protein data for the salt-induced C3 to CAM transition in ice plants.
DOI: 10.5519/qd.grxqy20w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.92uyz9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 1.8496,17.9648 1.8496,17.9648 -7.1504,26.9648 -7.1504,26.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011752-250525065834625/datasets/export for details.
DOI: 10.15468/dl.esqpz9
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 {
 "or" : [
 "Geometry POLYGON((-337.43031 53.66469,-337.11679 53.66469,-337.11679 53.85005,-337.43031 53.85005,-337.43031 53.66469))",
 "Geometry POLYGON((-106.95772 33.82811,-106.67438 33.82811,-106.67438 34.03968,-106.95772 34.03968,-106.95772 33.82811))",
 "Geometry POLYGON((-112.02816 38.95531,-111.57062 38.95531,-111.57062 39.31021,-112.02816 39.31021,-112.02816 38.95531))",
 "Geometry POLYGON((-333.30163 -27.17247,-333.001 -27.17247,-333.001 -26.50184,-333.30163 -26.50184,-333.30163 -27.17247))",
 "Geometry POLYGON((-510.44295 64.6113,-509.52331 64.6113,-509.52331 65.03806,-510.44295 65.03806,-510.44295 64.6113))",
 "Geometry POLYGON((-150.74165 60.09754,-149.43505 60.09754,-149.43505 60.31395,-150.74165 60.31395,-150.74165 60.09754))",
 "Geometry POLYGON((-151.75968 63.89636,-148.70645 63.89636,-148.70645 65.14549,-151.75968 65.14549,-151.75968 63.89636))",
 "Geometry POLYGON((26.69817 -26.78421,27.40319 -26.78421,27.40319 -25.99478,26.69817 -25.99478,26.69817 -26.78421))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 940 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011753-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jfrsh
title: Occurrence Download

description: A dataset containing 579470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is one of (CHN.2_1, CHN.2.1.6_1)",
 "Geometry POLYGON((114.546762589928 39.06115107913669,118.546762589928 39.06115107913669,118.546762589928 43.06115107913669,114.546762589928 43.06115107913669,114.546762589928 39.06115107913669))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "Year 2003-2025",
 "Year 1999-2025",
 "Year 2012-2025"
 ]
 }
 ]
}

 The dataset includes 579470 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011724-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tsb74
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 28.8496,17.9648 28.8496,17.9648 19.8496,26.9648 19.8496,26.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011756-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mt72m2
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Ursus Linnaeus, 1758",
 "Year 2019-2024"
 ]
}

 The dataset includes 70 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011755-250525065834625/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.29198402
title: Health Outcomes, Social Determinants of Health and Geography Resources

description: This dataset includes materials for an undergraduate learning activity focused on exploring the Social Determinants of Health (SDOH) through applied data analysis and mapping from Coastal Carolina University - Department of Nursing and Health Sciences. The download contains two files:<br>a written assignment with step-by-step instructions, andan Excel file containing county-level health and SDOH data for South Carolina. The data were compiled from three sources (CDC PLACES, US Census Bureau's American Community Survey, Feeding America's Map the Meal Gap)Students use these materials to create maps, correlation matrices, and scatterplots in Microsoft Excel, enabling them to examine relationships between health outcomes and social factors such as poverty, education, and food access.
DOI: 10.6084/m9.figshare.29198402.v1
title: Health Outcomes, Social Determinants of Health and Geography Resources

description: This dataset includes materials for an undergraduate learning activity focused on exploring the Social Determinants of Health (SDOH) through applied data analysis and mapping from Coastal Carolina University - Department of Nursing and Health Sciences. The download contains two files:<br>a written assignment with step-by-step instructions, andan Excel file containing county-level health and SDOH data for South Carolina. The data were compiled from three sources (CDC PLACES, US Census Bureau's American Community Survey, Feeding America's Map the Meal Gap)Students use these materials to create maps, correlation matrices, and scatterplots in Microsoft Excel, enabling them to examine relationships between health outcomes and social factors such as poverty, education, and food access.
DOI: 10.6084/m9.figshare.29205245
title: My Publications

description: I am a PhD student in Applied Linguistics at Alzahra University. I am a member of Iran national Artificial Intelligence Organization.
DOI: 10.6084/m9.figshare.29205245.v1
title: My Publications

description: I am a PhD student in Applied Linguistics at Alzahra University. I am a member of Iran national Artificial Intelligence Organization.
DOI: 10.15468/dl.3wrv53
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 19.8496,17.9648 19.8496,17.9648 10.8496,26.9648 10.8496,26.9648 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011757-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15532611
title: DVS-UP-Fall Dataset

description: DVS-UP-Fall: Event-Based Dataset for Fall Detection

The DVS-UP-Fall dataset is an event-based version of the publicly available UP-Fall Detection dataset, tailored for advancing fall detection research using neuromorphic vision sensors and spiking neural networks. This dataset has been generated by converting RGB video data to event streams using two leading event conversion toolkits: v2e (video-to-events) and v2ce (video-to-continuous-events).

The dataset is structured into two main ZIP archives:

1. dvs-up-fall-v2e-dataset-160.zip: This archive contains event data generated using the v2e toolkit. 

2. dvs-up-fall-v2ce-dataset-160.zip: This archive contains event data generated using the v2ce toolkit.

Label Files

To support supervised learning and benchmarking, we provide the following label files.





CompleteDataSet.csv: Original UP-Fall labels including IMU, EEG, and IR sensor data.




labels_multiclass_w1.0.csv: Multiclass activity labels for 1.0-second non-overlapping windows.




labels_binary_w1.0.csv: Binary (fall vs. no-fall) labels for 1.0-second non-overlapping windows.




labels_multiclass_w0.5.csv: Multiclass activity labels for 0.5-second windows.




labels_binary_w0.5.csv: Binary labels for 0.5-second windows.



This dataset supports both binary and multiclass activity classification tasks using event-based data and is suitable for training and evaluating spiking neural networks (SNNs).

All data is organized per subject, activity, trial, and camera, consistent with the original UP-Fall dataset structure.