cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ut5x3v
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Agonum mutatum (Gemminger & Harold, 1868)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 231 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005161-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2jv6m
title: Occurrence Download

description: A dataset containing 22446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otus scops (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 22446 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005162-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yd54pm
title: Occurrence Download

description: A dataset containing 2619 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((41.81896 5.553849, 44.69773 5.553849, 44.69773 8.799133, 41.81896 8.799133, 41.81896 5.553849))"
 ]
}

 The dataset includes 2619 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005163-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s988jr
title: Occurrence Download

description: A dataset containing 632 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 Leucanthemella Tzvelev"
 ]
}

 The dataset includes 632 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005164-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9kjrn
title: Occurrence Download

description: A dataset containing 66147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (India, Nepal, Bhutan, Bangladesh, Pakistan, Chinese Taipei, Japan, Myanmar, Korea (Democratic People’s Republic of), Korea, Republic of)",
 "TaxonKey is Fagaceae"
 ]
}

 The dataset includes 66147 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005147-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atrfrw
title: Occurrence Download

description: A dataset containing 3440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindera megaphylla"
 ]
}

 The dataset includes 3440 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038528-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpgdwy
title: Occurrence Download

description: A dataset containing 23083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is a2fa5b68-3ebf-4845-abc5-f456d251386f",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 23083 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038529-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17627557
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Herbert Womersley, http://www.wikidata.org/entity/Q21338356. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21338356
DOI: 10.57760/sciencedb.jcst.00013
title: CodeRankEval
title: CodeRankEval

description: This project provides the benchmark dataset introduced in the paper "CodeRankEval: Benchmarking and Analyzing LLM Performance for Code Ranking". It aims to evaluate and analyze the performance of large language models (LLMs) on code ranking tasks. It includes data in three scoring formats: pointwise, pairwise, and listwise.
description: This project provides the benchmark dataset introduced in the paper "CodeRankEval: Benchmarking and Analyzing LLM Performance for Code Ranking". It aims to evaluate and analyze the performance of large language models (LLMs) on code ranking tasks. It includes data in three scoring formats: pointwise, pairwise, and listwise.
DOI: 10.5281/zenodo.17627547
title: Identifying Dominant Parameters Across Space and Time at Multiple Scales in a Distributed Model Using a Two-Step Deep Learning-Assisted Time-Varying Spatial Sensitivity Analysis

description: This zile file contains the data, code, and documentation supporting the study:

Yang, J. et al., 2025. "Identifying Dominant Parameters Across Space and Time at Multiple Scales in a Distributed Model Using a Two-Step Deep Learning-Assisted Time-Varying Spatial Sensitivity Analysis" (submitted for publication in HESS).
DOI: 10.5281/zenodo.17627546
title: Identifying Dominant Parameters Across Space and Time at Multiple Scales in a Distributed Model Using a Two-Step Deep Learning-Assisted Time-Varying Spatial Sensitivity Analysis

description: This zile file contains the data, code, and documentation supporting the study:

Yang, J. et al., 2025. "Identifying Dominant Parameters Across Space and Time at Multiple Scales in a Distributed Model Using a Two-Step Deep Learning-Assisted Time-Varying Spatial Sensitivity Analysis" (submitted for publication in HESS).
DOI: 10.15468/dl.7p4c7m
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038531-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqtu22
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((112.41848 3.02465,152.95243 3.02465,152.95243 19.23129,112.41848 19.23129,112.41848 3.02465))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelodiscus sinensis"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038532-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17555856
title: Underwater images collected by a Kite surf in Le-Morne-Ambulante, Mauritius - 2018-10-22

description: This dataset was collected by a Kite surf in Le-Morne-Ambulante, Mauritius - 2018-10-22. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17627433
title: Underwater images collected by a Kite surf in Le-Morne-Ambulante, Mauritius - 2018-10-22

description: This dataset was collected by a Kite surf in Le-Morne-Ambulante, Mauritius - 2018-10-22. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.sgevfy
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038533-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32597.08165
title: flying robotic manipulator short
DOI: 10.15468/dl.was9aq
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038534-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6qwrp
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038535-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pnr5r
title: Occurrence Download

description: A dataset containing 2782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia nigra"
 ]
}

 The dataset includes 2782 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038536-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17627573
title: CALM v1.1: EEG Zoom Law Dataset and Minimal Evaluator

description: CALM (Cognitive Alphabet for Latent Microstates) v1.1 proposes that resting-state human EEG contains a robust “zoom law”: refining a specific latent state (S1) into finer substates yields a consistent gain in predictive / compression metrics across subjects, relative to comparable non-hierarchical refinements.

This dataset provides the numerical backbone and minimal evaluator for that claim. It includes:





zoom_S1_summary.json — summary statistics for the S1 zoom effect (median Δxent, confidence intervals, p-value).




zoom_S1_subjects.csv — per-subject zoom metrics used to compute the summary.




calm_eval_min.py — a compact evaluator script to apply the CALM v1.1 zoom test to new EEG datasets.



Together, these files let researchers recompute the zoom law on the original cohort or test it on their own data. The broader CALM framework (three-state alphabet, full figures, and narrative report) is described in preparation; this v1.1 Zenodo record focuses specifically on the zoom law statistics and evaluator, making the core test easily falsifiable and reusable.

Authored by Caleb “Telos” Holmes using an AI research assistant (“Aetheron”) as a tool for code and documentation. Responsibility for the scientific claims rests with the human author.
DOI: 10.5281/zenodo.17627574
title: CALM v1.1: EEG Zoom Law Dataset and Minimal Evaluator

description: CALM (Cognitive Alphabet for Latent Microstates) v1.1 proposes that resting-state human EEG contains a robust “zoom law”: refining a specific latent state (S1) into finer substates yields a consistent gain in predictive / compression metrics across subjects, relative to comparable non-hierarchical refinements.

This dataset provides the numerical backbone and minimal evaluator for that claim. It includes:





zoom_S1_summary.json — summary statistics for the S1 zoom effect (median Δxent, confidence intervals, p-value).




zoom_S1_subjects.csv — per-subject zoom metrics used to compute the summary.




calm_eval_min.py — a compact evaluator script to apply the CALM v1.1 zoom test to new EEG datasets.



Together, these files let researchers recompute the zoom law on the original cohort or test it on their own data. The broader CALM framework (three-state alphabet, full figures, and narrative report) is described in preparation; this v1.1 Zenodo record focuses specifically on the zoom law statistics and evaluator, making the core test easily falsifiable and reusable.

Authored by Caleb “Telos” Holmes using an AI research assistant (“Aetheron”) as a tool for code and documentation. Responsibility for the scientific claims rests with the human author.
DOI: 10.15468/dl.nt7xtg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, Phoebe incerta, , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038537-251025141854904/datasets/export for details.
DOI: 10.15468/dl.524y26
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038538-251025141854904/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/13761902
title: Peer-to-Peer Boliviano (BOB) Exchange Data