cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.spnf3s
title: Occurrence Download

description: A dataset containing 1923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Walckenaeria arctica Millidge, 1983, Walckenaeria dysderoides (Wider, 1834))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1923 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0331032-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112044841
title: Cuneiform Tablet 1913.14.0169, Spurlock 1913.14.0169

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0169; CDLI P420550 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Brownish Pink (5YR 8/3) ❧ [Physical Object Note:] 7.5 x 4.5 x 2.3 cm (82g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.7rvdzm
title: Occurrence Download

description: A dataset containing 5570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hirundo rustica erythrogaster Boddaert, 1783",
 "Year 1803-2023"
 ]
}

 The dataset includes 5570 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214738-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2kst2
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium akaka S.G.Gmel. ex Schult. & Schult.f."
 ]
}

 The dataset includes 120 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009869-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3u7yg
title: Occurrence Download

description: A dataset containing 135068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avenula pubescens (Huds.) Dumort.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 135068 records from 529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096020-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112043211
title: Cuneiform Tablet 1913.14.0010, Spurlock 1913.14.0010

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0010; CDLI P420390 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 4.3 x 4.3 x 1.8 cm (42g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.nbftv3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxynoemacheilus seyhanicola (Erk'Akan, Nalbant & Özeren, 2007)"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0331071-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6hutx
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Achillea filipendulina Lam."
 ]
}

 The dataset includes 655 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024253-230224095556074/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.28828385
title: Observaciones JWST de K2-18 b: Evidencia e Incertidumbres de las Biofirmas Sulfuradas DMS/DMDS en un Mundo Hycean Potencial

description: Este estudio revisa críticamente las <b>observaciones del JWST</b> sobre el exoplaneta <b>K2-18 b</b>, combinando espectros NIRISS/NIRSpec y MIRI/LRS para buscar <b>biofirmas sulfuradas</b> (DMS/DMDS). Se aplica un <b>análisis bayesiano</b> que revela detecciones tentativas (~3,2 σ) difíciles de explicar por mecanismos abióticos conocidos. Se discuten las <b>limitaciones metodológicas</b> (retrievals independientes, secciones eficaces moleculares) y se proponen <b>estrategias futuras</b> de observación y laboratorio para confirmar estas señales como indicios de vida potencial
DOI: 10.15468/dl.3vfwk4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ahasverus advena",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000745-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57833/cidacs/ssba4w
title: Extração da coorte de cem milhões de Brasileiros vinculada ao sistema de informações de nascidos vivos e ao sistema de vigilância alimentar e nutricional

description: Conjunto de dados produzido com a finalidade de alcance de objetivos específicos do projeto "Grand Challenges Explorations – Brasil: Ciência de Dados Para Melhorar a Saúde MaternoInfantil, Saúde da Mulher e Saúde da Criança no Brasil".
DOI: 10.5281/zenodo.18573622
title: Detected features and information on the identification of the annotated peaks in metabolomics analyses of beef and liver samples
DOI: 10.15468/dl.m62ktv
title: Occurrence Download

description: A dataset containing 1164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ferocactus uncinatus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1164 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004744-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrgv8z
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbergia densiflora",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 39 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004745-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18572114
title: Eagle Ray Shell-Crashing Acoustic Classification Dataset and Models

description: This dataset contains acoustic recordings of eagle ray shell-crashing feeding behavior, processed acoustic features in MATLAB format, labeled training datasets, and trained machine learning models for classification of feeding events and prey species identification.

Dataset Contents

The deposit includes:



Raw and processed acoustic recordings of eagle ray feeding events

MATLAB (.mat) files containing processed acoustic features, labeled datasets, and feature matrices

Sound field data from controlled acoustic observations

Training code for model development and retraining on datasets

Matched filtering code for acoustic event detection from raw signals

Testing code for deployment and validation on field data

Trained machine learning models ready for testing and deployment


Prey Species

The dataset covers three primary mollusk prey species:



Crown Conch (Melongena corona)

Banded Tulip (Fasciolaria lilium)

Hard Clam (Mercenaria mercenaria)


Research Methods

This dataset supports marine bioacoustics research employing:



Acoustic signal processing and feature extraction

Machine learning classification approaches

Deep learning architectures for temporal analysis

Cross-validation strategies for model evaluation


How to Use

This package provides a complete pipeline for acoustic classification and field deployment:



Training: Use the training code with provided datasets and .mat files to develop and validate models

Signal Processing: Apply matched filtering code for real-time acoustic event detection

Field Testing: Deploy testing code on field data to classify feeding events and identify prey species


The .mat files can be loaded in MATLAB or Python (using scipy.io.loadmat or similar libraries). Trained models are included for immediate testing and deployment. Training code allows users to retrain models with modified parameters or additional data. Matched filtering implementation enables robust acoustic event detection on raw field recordings. Feature matrices and labeled datasets enable reproducibility and supplementary analyses.

Applications

This comprehensive package enables:



End-to-end reproducible marine bioacoustics research

Model training and refinement with field validation

Real-time acoustic event detection using matched filtering

Prey species identification from field recordings

Deployment of classification models on new acoustic data

Fully documented and reproducible analysis pipelines

Educational applications in signal processing and marine biology

Acoustic monitoring for ecosystem studies


Technical Details

Users should have access to MATLAB or Python with standard scientific computing libraries for working with the data files and trained models. Installation instructions and dependencies are documented in the accompanying code.

Citation

If you use this dataset or models, please cite this Zenodo record with the provided DOI.
DOI: 10.5281/zenodo.18572115
title: Eagle Ray Shell-Crashing Acoustic Classification Dataset and Models

description: This dataset contains acoustic recordings of eagle ray shell-crashing feeding behavior, processed acoustic features in MATLAB format, labeled training datasets, and trained machine learning models for classification of feeding events and prey species identification.

Dataset Contents

The deposit includes:



Raw and processed acoustic recordings of eagle ray feeding events

MATLAB (.mat) files containing processed acoustic features, labeled datasets, and feature matrices

Sound field data from controlled acoustic observations

Training code for model development and retraining on datasets

Matched filtering code for acoustic event detection from raw signals

Testing code for deployment and validation on field data

Trained machine learning models ready for testing and deployment


Prey Species

The dataset covers three primary mollusk prey species:



Crown Conch (Melongena corona)

Banded Tulip (Fasciolaria lilium)

Hard Clam (Mercenaria mercenaria)


Research Methods

This dataset supports marine bioacoustics research employing:



Acoustic signal processing and feature extraction

Machine learning classification approaches

Deep learning architectures for temporal analysis

Cross-validation strategies for model evaluation


How to Use

This package provides a complete pipeline for acoustic classification and field deployment:



Training: Use the training code with provided datasets and .mat files to develop and validate models

Signal Processing: Apply matched filtering code for real-time acoustic event detection

Field Testing: Deploy testing code on field data to classify feeding events and identify prey species


The .mat files can be loaded in MATLAB or Python (using scipy.io.loadmat or similar libraries). Trained models are included for immediate testing and deployment. Training code allows users to retrain models with modified parameters or additional data. Matched filtering implementation enables robust acoustic event detection on raw field recordings. Feature matrices and labeled datasets enable reproducibility and supplementary analyses.

Applications

This comprehensive package enables:



End-to-end reproducible marine bioacoustics research

Model training and refinement with field validation

Real-time acoustic event detection using matched filtering

Prey species identification from field recordings

Deployment of classification models on new acoustic data

Fully documented and reproducible analysis pipelines

Educational applications in signal processing and marine biology

Acoustic monitoring for ecosystem studies


Technical Details

Users should have access to MATLAB or Python with standard scientific computing libraries for working with the data files and trained models. Installation instructions and dependencies are documented in the accompanying code.

Citation

If you use this dataset or models, please cite this Zenodo record with the provided DOI.
DOI: 10.15468/dl.fa42fz
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon montagi",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 107 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004747-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr72yj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kadenicarpus horripilus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004749-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18585137
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2026-02-10 — cumulative data.
DOI: 10.15468/dl.zdx6qb
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi"
 ]
}

 The dataset includes 479 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004751-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zm7s49
title: Occurrence Download

description: A dataset containing 1241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dimorphandra mollis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1241 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004752-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbbj7e
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pandanus martinianus"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004753-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8prbpj
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon mutabilis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004754-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx7jxb
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kroenleinia grusonii",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 105 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004755-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhbkwm
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriotheca pubescens",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 465 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004756-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12748893
title: Global surface O3, NO2, HCHO, and PM2.5 concentrations estimated from deep learning from 2019 to 2023
DOI: 10.5281/zenodo.12748894
title: Global surface O3, NO2, HCHO, and PM2.5 concentrations estimated from deep learning from 2019 to 2023
DOI: 10.15468/dl.h3mj6x
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon myrmex",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004758-260208012135463/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/14791933
title: 🇰🇷 🇰🇵 Reddit r/Korea Subreddit Dataset 2026
DOI: 10.15468/dl.csgfj9
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi"
 ]
}

 The dataset includes 479 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004760-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18584700
title: Directed mutagenesis of large multi-subunit protein complexes by plasmid sub-fragmentation

description: Sequencing results (Macrogen Europe) of the study.
DOI: 10.5281/zenodo.15282460
title: Datasets for: Inequality in Air Pollution-Attributable Mortality by Income Level between and within Countries

description: This dataset includes global  annual average ground-level ozone, PM2.5, and HCHO concentrations at 0.1×0.1° spatial resolution from 2005 to 2023, as well as estimates of premature mortality attributable to long-term exposure to air pollutants at both grid level and subnational levels. Age-stratified mortality data for subnational regions are also included.

This version updates file Air_pollutant_conc_2005-2023.nc, which could not be properly read in the previous version because the file was corrupted during upload.
DOI: 10.5281/zenodo.17638101
title: Datasets for: Inequality in Air Pollution-Attributable Mortality by Income Level between and within Countries

description: This dataset includes global  annual average ground-level ozone, PM2.5, and HCHO concentrations at 0.1×0.1° spatial resolution from 2005 to 2023, as well as estimates of premature mortality attributable to long-term exposure to air pollutants at both grid level and subnational levels. Age-stratified mortality data for subnational regions are also included.

This version updates file Air_pollutant_conc_2005-2023.nc, which could not be properly read in the previous version because the file was corrupted during upload.
DOI: 10.5281/zenodo.18584699
title: Directed mutagenesis of large multi-subunit protein complexes by plasmid sub-fragmentation

description: Sequencing results (Macrogen Europe) of the study.
DOI: 10.15468/dl.6pu3xp
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jacaranda puberula",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1249 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004763-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.