cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n5znyn
title: Occurrence Download

description: A dataset containing 27 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'US'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '2476674', TRUE)
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2026)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 27 records were derived from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011972-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18623871
title: Metabarcoding Template
DOI: 10.15468/dl.2rbttu
title: Occurrence Download

description: A dataset containing 208 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Dactyloctenium geminatum"
 ]
}

 The dataset includes 208 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012047-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aannrk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otocinclus caxarari",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012049-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240109
title: Code for: AI-Powered (Finance) Scholarship

description: This paper describes a process for generating academic papers using large language models (LLMs) and demonstrates this process’ efficacy by producing hundreds of complete papers on stock return predictability, a topic well-suited for our illustration. After mining over 30,000 potential return predictors from accounting data, we generate “template reports” for 95 signals passing rigorous criteria from the Novy-Marx and Velikov (2024) “Assaying Anomalies” protocol. These templates detail signal performance predicting returns using a wide array of tests and benchmark performance against more than 200 documented anomalies. Finally, for each template we use state-of-the-art LLMs to generate multiple complete versions of academic papers with distinct theoretical justifications for the observed return predictability, incorporating citations to literature supporting their respective claims. This experiment illustrates AI’s potential for enhancing financial research efficiency, but also serves as a cautionary tale, illustrating how it can be abused to industrialize HARKing (Hypothesizing After Results are Known).<br>
DOI: 10.3886/e240109v1
title: Code for: AI-Powered (Finance) Scholarship

description: This paper describes a process for generating academic papers using large language models (LLMs) and demonstrates this process’ efficacy by producing hundreds of complete papers on stock return predictability, a topic well-suited for our illustration. After mining over 30,000 potential return predictors from accounting data, we generate “template reports” for 95 signals passing rigorous criteria from the Novy-Marx and Velikov (2024) “Assaying Anomalies” protocol. These templates detail signal performance predicting returns using a wide array of tests and benchmark performance against more than 200 documented anomalies. Finally, for each template we use state-of-the-art LLMs to generate multiple complete versions of academic papers with distinct theoretical justifications for the observed return predictability, incorporating citations to literature supporting their respective claims. This experiment illustrates AI’s potential for enhancing financial research efficiency, but also serves as a cautionary tale, illustrating how it can be abused to industrialize HARKing (Hypothesizing After Results are Known).<br>
DOI: 10.15468/dl.3y2y7k
title: Occurrence Download

description: A dataset containing 2449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gaultheria leucocarpa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2449 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012052-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckxpkq
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dictyophleba lucida",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 212 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012051-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9pz28
title: Occurrence Download

description: A dataset containing 233 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Dactyloctenium giganteum"
 ]
}

 The dataset includes 233 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012054-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeu9fp
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otocinclus cocama",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012055-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq8w6q
title: Occurrence Download

description: A dataset containing 6352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strategus aloeus"
 ]
}

 The dataset includes 6352 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012053-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y55gdq
title: Occurrence Download

description: A dataset containing 1684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geniostoma rupestre",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1684 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012057-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tw5rt7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplolepis viridis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012056-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18623719
title: Dockery Bio IA v1

description: If any poor soul looks over this, this is for my IB Biology IA. Because of how crappy the school devices they hand out are, I'm using Zenodo as a repository because they block GitHub. If you want to make fun of my data go ahead, the concentrations in the file names are in molarity and are of magnesium chloride added to a 100ml solution with 8g sugar (Dominoes) and 0.5g yeast (Red Star). Email me if you end up recreating the experiment, it'd be funny.
DOI: 10.5281/zenodo.18623905
title: Dockery Bio IA v1

description: If any poor soul looks over this, this is for my IB Biology IA. Because of how crappy the school devices they hand out are, I'm using Zenodo as a repository because they block GitHub. If you want to make fun of my data go ahead, the concentrations in the file names are in molarity and are of magnesium chloride added to a 100ml solution with 8g sugar (Dominoes) and 0.5g yeast (Red Star). Email me if you end up recreating the experiment, it'd be funny.
DOI: 10.5281/zenodo.18619508
title: "Visible expressions of Islam in public space affect Muslim immigrants' place integration"

description: This repository contains the replication data and Stata code for the study: "Visible expressions of Islam in public space affect Muslim immigrants' place integration", published in Nature Cities.

The dataset includes experimental and survey data used to examine how the presence of Islamic religious symbols in public spaces influences the integration of Muslim immigrants.

Contents:





ExperimentData.dta: Processed experimental dataset.




SurveyData.dta: Processed survey dataset.




MainModelsPaper.do: Stata syntax file to reproduce the results presented in the paper.



Terms of Use: These materials are provided for replication purposes only. For any other use, including new research or publications, please contact the authors.
DOI: 10.5281/zenodo.18619507
title: "Visible expressions of Islam in public space affect Muslim immigrants' place integration"

description: This repository contains the replication data and Stata code for the study: "Visible expressions of Islam in public space affect Muslim immigrants' place integration", published in Nature Cities.

The dataset includes experimental and survey data used to examine how the presence of Islamic religious symbols in public spaces influences the integration of Muslim immigrants.

Contents:





ExperimentData.dta: Processed experimental dataset.




SurveyData.dta: Processed survey dataset.




MainModelsPaper.do: Stata syntax file to reproduce the results presented in the paper.



Terms of Use: These materials are provided for replication purposes only. For any other use, including new research or publications, please contact the authors.
DOI: 10.25452/figshare.plus.31164421
title: Resources for Viewing Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Human Biofluids

description: The included files support the use of the Human Biofluid Image Inventory: Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Biofluids (https://doi.org/10.25452/figshare.plus.c.8260588).<b>File 1: Image Count by Biofluid and Participant (.xlsx)</b><br>This spreadsheet provides a summary of transmission electron microscopy image counts organized by biofluid type and participant.<br><b>File 2: ReadMe (.pdf)</b><br>This ReadMe document provides an overview of how to best navigate the image inventory by explaining how to interpret the files in each folder.
DOI: 10.25452/figshare.plus.31164421.v2
title: Resources for Viewing Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Human Biofluids

description: The included files support the use of the Human Biofluid Image Inventory: Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Biofluids (https://doi.org/10.25452/figshare.plus.c.8260588).<b>File 1: Image Count by Biofluid and Participant (.xlsx)</b><br>This spreadsheet provides a summary of transmission electron microscopy image counts organized by biofluid type and participant.<br><b>File 2: ReadMe (.pdf)</b><br>This ReadMe document provides an overview of how to best navigate the image inventory by explaining how to interpret the files in each folder.
DOI: 10.25452/figshare.plus.31164421.v1
title: Resources for Viewing Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Human Biofluids

description: The included files support the use of the Human Biofluid Image Inventory: Electron Microscopy Analysis of Circulating Particles from cf-mtDNA-enriched Biofluids (https://doi.org/10.25452/figshare.plus.c.8260588).<b>File 1: Image Count by Biofluid and Participant (.xlsx)</b><br>This spreadsheet provides a summary of transmission electron microscopy image counts organized by biofluid type and participant.<br><b>File 2: ReadMe (.pdf)</b><br>This ReadMe document provides an overview of how to best navigate the image inventory by explaining how to interpret the files in each folder.
DOI: 10.15468/dl.7u5dpy
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otocinclus hoppei",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 89 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012058-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/lmbe3x
title: Data Management and Sharing Plan for: RNA biomarkers for alcohol use disorder

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.pd4q4h
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.19091 55.13941,0.94109 55.13941,0.94109 60.89714,-10.19091 60.89714,-10.19091 55.13941))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Marsupella condensata",
 "Year 1970-2000"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012059-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kezeqy
title: Occurrence Download

description: A dataset containing 13 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Dactyloctenium pilosum"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012060-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf4dza
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasianthus chrysoneurus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 127 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012061-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqtka8
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dischidanthus urceolatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012062-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18623918
title: Geometric Resolution of Cosmic Tensions: A Numerical Note on Λ and H₀

description: Are the “Crisis in Cosmology” and the “Vacuum Catastrophe” simply geometric artifacts of how we parametrize Λ and H₀?  

This data note and accompanying Python script demonstrate that two of the largest anomalies in physics—the Hubble tension and the cosmological constant problem—can be numerically reproduced as simple geometric boundary conditions, without introducing new dynamical physics or free parameters.

Key findings

Hubble tension via sphere packing

  We show that the discrepancy between global (CMB) and local (SH0ES) measurements of H₀ corresponds to the geometric difference between a continuous fluid and a discrete packed structure. Applying the 3D kissing‑number packing factor (1 + 1/12) to the Planck 2018 value H₀ᴄᴍʙ = 67.4 km/s/Mpc predicts a local value of 73.02 km/s/Mpc, matching the SH0ES measurement (73.04 ± 1.04) at the level of about 0.02 standard deviations.

 

 Cosmological constant as a horizon invariant  

  We show that the apparent 10¹²² “fine‑tuning” of Λ disappears when Λ is treated as a boundary curvature term. The dimensionless product of Λ and the Hubble‑horizon area A_H reduces to an algebraic identity of order unity (~25.8), consistent with the geometric phase‑space factor 4π(π³/15) ≈ 25.98 to within about 0.7%.

 

Content

 

PDF note: concise derivation and statement of the geometric constraints on Λ and H₀.  

Python script (`cosmic_geometry_test_suite.py`): a reproducible, zero‑parameter test suite that evaluates these geometric identities against Planck 2018 and SH0ES inputs and reports explicit PASS/FAIL criteria.
DOI: 10.15468/dl.ye3duc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Otocinclus juruenae",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012063-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18623180
title: Clinical perspectives on wearable biosensors for paediatric cyanotic congenital heart disease: an expert survey to inform early device development

description: This dataset contains responses from a structured survey conducted as part of the OrphaDev4Kids European project (EU4H-2023-PJ), aimed at informing the early-stage development of wearable medical devices for paediatric populations. The survey targeted clinicians with professional experience in managing or studying cyanotic congenital heart disease (CCHD) and captured information on current monitoring practices, perceived unmet clinical needs, and expectations for novel wearable biosensors.

The dataset includes:





Professional background of respondents




Experience with different types of CCHD




Standard clinical monitoring practices (physiological, functional, and biochemical parameters)




Perspectives on additional biomarkers and multiparametric monitoring needs




Familiarity with and attitudes toward wearable technologies




Preferences for data delivery, integration with clinical workflows, and device usability




Insights regarding patient compliance, operational feasibility, and institutional readiness



This resource provides a foundation for understanding clinician priorities in the design of pediatric medical devices, supporting evidence-based development of patient-centered, non-invasive, and real-time monitoring solutions. All data are anonymized to protect respondent privacy.

Please cite the following paper if you use the database: 

This project has received funding from the European Union’s Horizon Europe Framework Programme under Grant Agreement No. 101161377. This wok was partially funded by the Italian Ministry of Health (Ricerca Corrente 2025/2026 to E. Biffi).