cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j94t3z
title: Occurrence Download

description: A dataset containing 34803 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus boylii (Baird, 1855)"
 ]
}

 The dataset includes 34803 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018811-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14166958
title: LEGO Dataset

description: Point cloud dataset of LEGO constructs. Contains .pcd files of the constructs, as well as .jpg files and stud.io files for reference.
DOI: 10.5281/zenodo.14166959
title: LEGO Dataset

description: Point cloud dataset of LEGO constructs. Contains .pcd files of the constructs, as well as .jpg files and stud.io files for reference.
DOI: 10.15468/dl.vxn82j
title: Occurrence Download

description: A dataset containing 612912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is one of (Acer platanoides L., Adelges tsugae Annand, 1924, Agrilus planipennis Fairmaire, 1888, Alliaria petiolata (M.Bieb.) Cavara & Grande, Channa argus (Cantor, 1842), Crocodylus niloticus Laurenti, 1768, Dreissena polymorpha (Pallas, 1771), Faxonius rusticus (Girard, 1852), Frangula alnus Mill., Heracleum mantegazzianum Sommier & Levier, Heracleum sphondylium L., Hydrocharis morsus-ranae L., Impatiens glandulifera Royle, Kali tragus (L.) Scop., Lissachatina fulica (Bowdich, 1822), Lycorma delicatula (White, 1845), Myriophyllum spicatum L., Phragmites australis subsp. australis, Potamogeton crispus L., Pterois volitans (Linnaeus, 1758), Pueraria lobata (Willd.) Ohwi, Python bivittatus Kuhl, 1820, Reynoutria japonica Houtt., Reynoutria sachalinensis (F.Schmidt) Nakai, Reynoutria ×bohemica Chrtek & Chrtková, Rhamnus cathartica L., Rhinella marina (Linnaeus, 1758), Stratiotes aloides L., Trapa natans L., Vincetoxicum nigrum (L.) Moench, Vincetoxicum rossicum (Kleopow) Barbar.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 612912 records from 583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018805-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14847207
title: Ho et al. CRISPR simulation

description: Files to recreate CRISPR simulation from Ho et al. 2025, including:

CRISPRi_stats.Rmd

Quantify variation from existing CRISPRi screen data using prolif.lib2.run2.count_normalized.txt, prolif.lib2.run2.gene_summary.txt, and prolif.lib2.run2.sgrna_summary.txt.

Dataset (A-J) directories

R Markdown files titled generate_fake_screen_data.Rmd were used to generate simulated CRISPR screen count tables for ten independent replicates, which are found in the directory count_tables. Count tables were analyzed using mageck test with and without the --control-sgrna option, and the resulting gene summaries of these analyses are in the directories mageck_output_control and mageck_output_no_control, respectively.

precision_recall_plots.Rmd

Plot the precision and recall of the simulated CRISPR screens based on gene summary output from mageck test.
DOI: 10.5281/zenodo.14847208
title: Ho et al. CRISPR simulation

description: Files to recreate CRISPR simulation from Ho et al. 2025, including:

CRISPRi_stats.Rmd

Quantify variation from existing CRISPRi screen data using prolif.lib2.run2.count_normalized.txt, prolif.lib2.run2.gene_summary.txt, and prolif.lib2.run2.sgrna_summary.txt.

Dataset (A-J) directories

R Markdown files titled generate_fake_screen_data.Rmd were used to generate simulated CRISPR screen count tables for ten independent replicates, which are found in the directory count_tables. Count tables were analyzed using mageck test with and without the --control-sgrna option, and the resulting gene summaries of these analyses are in the directories mageck_output_control and mageck_output_no_control, respectively.

precision_recall_plots.Rmd

Plot the precision and recall of the simulated CRISPR screens based on gene summary output from mageck test.
DOI: 10.15468/dl.6nzqtt
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "GadmGid is ECU.1_1",
 "TaxonKey is Vultur gryphus Linnaeus, 1758"
 ]
}

 The dataset includes 125 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023081-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14219047
title: Measuring Online Hate on 4chan Using Deep Learning

description: This is the dataset released with the paper titled: "Measuring Online Hate on 4chan Using Deep Learning".

This dataset contains a collection of 500,000 posts extracted from the /pol/ board (Politically Incorrect) of 4chan using the 4chan API. The dataset is structured as a single CSV file with one column, com, which includes the raw content of the posts.

The dataset does not preserve the structure of threads or replies; instead, it consists of a flat collection of individual posts extracted from /pol/. This format is intended to support applications such as text analysis, natural language processing, and computational social science research by providing a straightforward dataset of raw post content.

Dataset Format



File Format: CSV (Comma-Separated Values)

Columns:



com: The raw content of the post.




Source

The posts were extracted from 4chan’s /pol/ board using the official 4chan API. This board is known for hosting discussions on various topics, often with a focus on political content. Due to the nature of the /pol/ board, the content may include offensive language, hate speech, or otherwise sensitive material. Users should exercise caution and consider ethical implications when analysing this dataset.

Potential Use Cases



Text analysis and natural language processing (NLP).

Studies on online discourse, extremism, or political polarization.

Research on language usage and sentiment in online forums.

Development and testing of machine learning models for text classification or moderation.


Example Data

Here’s an example of what a few rows of the dataset look like:




com




"Why does no one talk about this?"


"The government is hiding the truth!"


"We need to take action against this injustice."




If you find our dataset useful, please cite our paper:



@article{ 
}
DOI: 10.5281/zenodo.14219048
title: Measuring Online Hate on 4chan Using Deep Learning

description: This is the dataset released with the paper titled: "Measuring Online Hate on 4chan Using Deep Learning".

This dataset contains a collection of 500,000 posts extracted from the /pol/ board (Politically Incorrect) of 4chan using the 4chan API. The dataset is structured as a single CSV file with one column, com, which includes the raw content of the posts.

The dataset does not preserve the structure of threads or replies; instead, it consists of a flat collection of individual posts extracted from /pol/. This format is intended to support applications such as text analysis, natural language processing, and computational social science research by providing a straightforward dataset of raw post content.

Dataset Format



File Format: CSV (Comma-Separated Values)

Columns:



com: The raw content of the post.




Source

The posts were extracted from 4chan’s /pol/ board using the official 4chan API. This board is known for hosting discussions on various topics, often with a focus on political content. Due to the nature of the /pol/ board, the content may include offensive language, hate speech, or otherwise sensitive material. Users should exercise caution and consider ethical implications when analysing this dataset.

Potential Use Cases



Text analysis and natural language processing (NLP).

Studies on online discourse, extremism, or political polarization.

Research on language usage and sentiment in online forums.

Development and testing of machine learning models for text classification or moderation.


Example Data

Here’s an example of what a few rows of the dataset look like:




com




"Why does no one talk about this?"


"The government is hiding the truth!"


"We need to take action against this injustice."




If you find our dataset useful, please cite our paper:



@article{ 
}
DOI: 10.15468/dl.r5yv8v
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CatalogNumber is one of (PDD 24446, PDD 24643, PDD 31336, PDD 34939, PDD 38247, PDD 48761, PDD 59721, PDD 59861, PDD 86101, PDD 90182, PDD 90216, PDD 90221, PDD 90225, PDD 90231, PDD 90256, PDD 90269, PDD 90325, PDD 90333, PDD 90429, PDD 90443, PDD 90450, PDD 90473, PDD 90477, PDD 90497, PDD 90535, PDD 90549, PDD 90579, PDD 90586, PDD 90674, PDD 90678, PDD 90691, PDD 90707, PDD 90793, PDD 90806, PDD 90847, PDD 90948, PDD 91010, PDD 91179, PDD 91320, PDD 91401, PDD 91409, PDD 91670, PDD 98099, PDD 116385, PDD 116396, PDD 116397, PDD 116820, PDD 116821, PDD 116822)",
 "DatasetKey is New Zealand Fungal and Plant Disease Collection (PDD)"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023082-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839851
title: unimpeded: mlcdm des_y1.joint+planck_2018_plik

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5281/zenodo.14839852
title: unimpeded: mlcdm des_y1.joint+planck_2018_plik

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.15468/dl.cb49dg
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Ara macao (Linnaeus, 1758)"
 ]
}

 The dataset includes 52 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023084-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhr5m9
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Canis latrans Say, 1823"
 ]
}

 The dataset includes 1599 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023083-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rn3uz
title: Occurrence Download

description: A dataset containing 3542 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bionectria Speg., 1918"
 ]
}

 The dataset includes 3542 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023085-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyz8wv
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Cotinga amabilis Gould, 1857"
 ]
}

 The dataset includes 120 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023087-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.std9b3
title: Occurrence Download

description: A dataset containing 930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Bassariscus astutus (Lichtenstein, 1830)"
 ]
}

 The dataset includes 930 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023086-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvz53t
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Leopardus wiedii (Schinz, 1821)"
 ]
}

 The dataset includes 176 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023089-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w4836
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 276 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023090-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtjr4y
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023088-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mj5a76
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Psilotum nudum (L.) P.Beauv."
 ]
}

 The dataset includes 193 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023091-250127130748423/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.28378298
title: HRV as Biomarker of Burnout in HealthCare Workers

description: <b>ABSTRACT</b><b>Background: </b>Burnout is a critical issue among healthcare professionals, particularly in high-stress environments such as intensive care units (ICUs). While previous research has linked burnout to self-reported stress and psychological distress, objective physiological markers such as heart rate variability (HRV) may provide a more reliable assessment of occupational stress and burnout risk. Although our prior pilot study suggested an association between HRV and stress, it did not incorporate validated burnout assessments. This study aimed to bridge that gap by examining the relationship between HRV, self-reported stress, and standardized burnout scales. Additionally, it sought to identify key predictors of burnout and develop a predictive model for early risk detection. <b>Methods: </b>This cross-sectional observational study included 57 nurses and nursing assistants from ICUs and general hospital wards. Participants completed validated burnout assessments, including the Cuestionario para la Evaluación del Síndrome de Quemarse por el Trabajo (CESQT), the Maslach Burnout Inventory (MBI), the Professional Quality of Life Scale (ProQOL), and the State-Trait Anxiety Inventory (STAI). HRV parameters were recorded using a biosignal acquisition system (Biosignals Plux) for 10 minutes at rest before the start of the work shift and analyzed with OpenSignals software. The extracted HRV metrics included root mean square of successive differences (rMSSD), low-frequency to high-frequency ratio (LF/HF), SD1/SD2 ratio, and Poincaré Area. Statistical analyses included descriptive statistics, correlation analysis, and group comparisons to examine differences in burnout across workplace conditions, shift types, and shift durations. A predictive model for burnout risk was developed using logistic regression with 10-fold cross-validation, integrating HRV parameters, psychological distress, and occupational factors. <b>Results: </b>HRV parameters were significantly associated with self-reported stress and burnout indicators, reinforcing their potential role as objective biomarkers of occupational stress. Night shift workers and those with extended work hours exhibited higher burnout levels and greater autonomic dysregulation. The predictive model demonstrated strong accuracy in identifying individuals at risk of burnout, with HRV and psychological stress emerging as key contributing factors. <b>Conclusion</b>: These findings highlight HRV as a promising tool for the objective assessment of burnout risk in healthcare professionals, including both nurses and nursing assistants. The predictive model developed in this study provides a valuable framework for early identification of high-risk individuals, enabling targeted interventions that may improve well-being and staff retention in healthcare settings. Future research should validate these findings in larger cohorts and assess the long-term applicability of HRV-based monitoring systems in occupational health programs.
DOI: 10.15468/dl.ss5gn9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "CatalogNumber" : [
 "is one of (K-M000048784, K-M000067398, K-M000067641, K-M000067663, K-M000067683, K-M000067702, K-M000067721, K-M000068133, K-M000068172, K-M000154491, K-M000154496, K-M000154498, K-M000154504, K-M000154545, K-M000154564)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023092-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekdu2w
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Mammillaria rhodantha Link & Otto"
 ]
}

 The dataset includes 252 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023093-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rv4ur
title: Occurrence Download

description: A dataset containing 2756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Morpho helenor Cramer, 1782"
 ]
}

 The dataset includes 2756 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023094-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25952/pm3h-dq35
title: Felons and Founders

description: The convict indentures or ‘indents’ – recording the arrival in New South Wales (Australia) of men and women exiled under sentence of transportation – are a rich primary source for historians interested in both the social, legal, and economic history of 18th and 19th-century Britain and the demography, role and management of modern Australia’s founding population. As the basis of the bureaucratic system used by authorities to identify and surveil convicts in an ‘open prison’, the importance of the indents is magnified by the ‘digital turn’ in Australian History, where the curation of big data (especially via record linkage) and advanced quantitative analysis techniques are generously enabled by the thoroughness of contemporary documentation and bureaucratic surveillance techniques (see <http://hdl.handle.net/1885/295054>).<br>
This dataset presents transcriptions of part of the ‘Bound Manuscript Indents’ held by the State Records NSW, now catalogued as NRS 12188 (bundles 4/4004 to 4/4008). The current transcription covers 138 voyages arriving between January 1801 and December 1822, thus identifying and detailing 24,111 individuals (including a small number who did not arrive in the colony, being either disembarked before departure or lost on route). Those details (inconsistently recorded in this period) include a convict’s place of origin, trial details, age, trade, and physical characteristics such as height, hair and eye colour, and distinguishing features such as scars, deformities, or tattoos. <br>
Following the UNE method, a unique ID number (“nsw_uid”) is applied to each distinct individual, based on the voyage of arrival (the voyage name and ‘voyage uid’ are also given separately). Further, a unique archival reference is given for each entry (“doc_uid”), based on the discrete bundle, page, and row number of each. Where applicable, a “dht_uid” is given for individuals who are also recorded in the monumental Digital History Tasmania (formerly ‘Founders and Survivors’) database. A ‘cleaned’ version of names is given for easier identification (as distinct from the verbatim transcript). Notes, retrospectively inserted, on tickets of leave and conditional and absolute pardons, are also included, along with other marginalia recording such things as subsequent sentences/punishments and deaths.
description: This dataset was compiled for research undertaken for the Australian Research Council-Discovery Project, Enquiring Into Empire (DP180100537), and is intended to facilitate ongoing research by staff, students and associates involved in the University of New England’s Convict History Research Collective who are examining unfree life and labour in New South Wales in the early nineteenth century.
DOI: 10.5281/zenodo.14839849
title: unimpeded: mlcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14839850
title: unimpeded: mlcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14847229
title: melanitta_nigra_spades_01.fasta.gz
DOI: 10.5281/zenodo.14847230
title: melanitta_nigra_spades_01.fasta.gz
DOI: 10.5281/zenodo.14839863
title: unimpeded: mlcdm des_y1.joint+planck_2018_plik_nolens

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_plik_nolens
DOI: 10.5281/zenodo.14839864
title: unimpeded: mlcdm des_y1.joint+planck_2018_plik_nolens

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_plik_nolens