cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e2fken
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.5688 24.59913, -108.4188 24.59913, -108.4188 24.74913, -108.5688 24.74913, -108.5688 24.59913))"
 ]
}

 The dataset includes 56 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035259-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.746vgd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muraenesox cinereus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035260-251025141854904/datasets/export for details.
DOI: 10.15468/dl.7xtf9f
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.4188 24.59913, -108.2688 24.59913, -108.2688 24.74913, -108.4188 24.74913, -108.4188 24.59913))"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035261-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9btt37
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is TWN.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Parantica sita"
 ]
}

 The dataset includes 188 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035262-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7sdjt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myleus pacu",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035264-251025141854904/datasets/export for details.
DOI: 10.15468/dl.p2s2cs
title: Occurrence Download

description: A dataset containing 4412934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1980-2025"
 ]
}

 The dataset includes 4412934 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035213-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ffxmq
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.2688 24.59913, -108.1188 24.59913, -108.1188 24.74913, -108.2688 24.74913, -108.2688 24.59913))"
 ]
}

 The dataset includes 103 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035266-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g52k9z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mylocheilus caurinus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035267-251025141854904/datasets/export for details.
DOI: 10.15468/dl.vp6nr7
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.1188 24.59913, -107.9688 24.59913, -107.9688 24.74913, -108.1188 24.74913, -108.1188 24.59913))"
 ]
}

 The dataset includes 264 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035268-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn9gar
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mylopharyngodon piceus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035269-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.30478925.v1
title: <b>A 1-km resolution dataset of affordability-constrained accessibility to elderly care facilities in China (v1)</b>

description: This dataset provides a 1-km resolution assessment of accessibility to elderly care services across China, integrating both spatial accessibility and economic affordability dimensions. Accessibility was measured using improved spatial interaction models that account for facility capacity, service competition, and transportation networks, while affordability was incorporated through the ratio of per capita disposable income to care service costs. The dataset captures multi-dimensional disparities in elderly care resource allocation, offering a valuable foundation for aging policy research, spatial equity analysis, and urban–rural planning.
DOI: 10.15468/dl.fbrjka
title: Occurrence Download

description: A dataset containing 60212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psittacara mitratus"
 ]
}

 The dataset includes 60212 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035234-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17616208
title: SMILES Biohack 2025 Munich

description: This is a part of biohack 2025 Munich Hackathon. Reproduction of https://www.nature.com/articles/s41592-025-02781-5 and https://www.nature.com/articles/s41467-018-06500-x papers with additional data cleaning and EDA.
DOI: 10.15468/dl.r2bwgw
title: Occurrence Download

description: A dataset containing 1549 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterygoplichthys pardalis"
 ]
}

 The dataset includes 1549 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035270-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgp6e8
title: Occurrence Download

description: A dataset listing the 22614 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset's 22614 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035263-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qcjte
title: Occurrence Download

description: A dataset containing 1011 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.9688 24.59913, -107.8188 24.59913, -107.8188 24.74913, -107.9688 24.74913, -107.9688 24.59913))"
 ]
}

 The dataset includes 1011 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035271-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc9q6t
title: Occurrence Download

description: A dataset containing 795538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 795538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035258-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cns53a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myloplus schomburgkii",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035272-251025141854904/datasets/export for details.
DOI: 10.15468/dl.brx77t
title: Occurrence Download

description: A dataset containing 8002138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Animalia)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is one of (Georgia, Russian Federation, Azerbaijan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 8002138 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035244-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhujf8
title: Occurrence Download

description: A dataset containing 137 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.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 1703254 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 1703254 OR CAST(occurrence.kingdomkey AS INTEGER) = 1703254 OR CAST(occurrence.phylumkey AS INTEGER) = 1703254 OR CAST(occurrence.classkey AS INTEGER) = 1703254 OR CAST(occurrence.orderkey AS INTEGER) = 1703254 OR CAST(occurrence.familykey AS INTEGER) = 1703254 OR CAST(occurrence.genuskey AS INTEGER) = 1703254 OR CAST(occurrence.specieskey AS INTEGER) = 1703254)
 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.specieskey IS NOT NULL 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 137 records were derived from 1085 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035255-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/1pw2z
title: Council; Council Files September 22, 1843, Case of Isaac Leavitt, GC3/series 378, Petition of Abram Washburn Jr.

description: &lt;p&gt;Petition subject: Execution case &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:12232934"&gt;http://nrs.harvard.edu/urn-3:FHCL:12232934&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Bridgewater &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Abram Washburn Jr.&lt;/li&gt;&lt;li&gt;Seth Pratt Jr.&lt;/li&gt;&lt;li&gt;Simeon D. Wood&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 67 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 38 &lt;/p&gt; &lt;p&gt;Female signatures: 21 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 8 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, [females], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Signatory column format: not column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Isaac Leavitt &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Governor Council Files, September 22, 1843, Case of Isaac Leavitt &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/fairxq
title: Replication Data for: "Activists Against Autocrats: TSMO Networks and Democratic Diffusion."

description: This dataset contains all necessary data files to replicate the analysis in "Activists Against Autocrats: TSMO Networks and Democratic Diffusion."
description: To replicate the analysis, all files will need to be downloaded to the same folder and the working directory set to that shared folder in R.

Note that the "tsmo_data_prep" script which generates the network data necessary to create the TSMO diffusion variables is computationally intensive and will take a lengthy period to run. It also relies on parallel processing to execute, which may not work equally well across all machines.

Thus, to replicate the analysis, we recommend starting with the "tsmo_main_analysis" script, which replicates the tables and figures from the main text of the article, and the "tsmo_analysis_appendix" markdown file. The "tsmo_data_prep" file should only be run if someone wishes to replicate our entire process from the original data sources.
DOI: 10.7910/dvn/jsoogz
title: Replication Data for Political Trust and Public Support for Propaganda in China

description: Replication data and codes for: "Political Trust and Public Support for Propaganda in China"
DOI: 10.7910/dvn/k00fjn
title: A12_22588.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/f8ec661b-0dd2-40f6-a668-8dc579a00ac7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/f8ec661b-0dd2-40f6-a668-8dc579a00ac7
DOI: 10.6084/m9.figshare.24579580
title: Replication Package for "Mining and Measuring the Impact of Change Patterns for Improving the Size and Build Time of Docker Images"

description: Replication Package for "Mining and Measuring the Impact of Change Patterns for Improving the Size and Build Time of Docker Images"Abstract: Software containerization, for which Docker is the reference tool, is widely adopted in modern software engineering. The performance of the Docker build process in terms of image size and build time is crucial to developers. While previous work and Docker itself provide best practices to keep the images small and fast to build, we conjecture that developers might adopt undocumented practices. In this paper, we present an empirical study in which we aim (i) to mine the practices adopted by developers for improving the image size and build time, and (ii) to measure the impact of such practices. As for the mining study, we manually analyzed a total of 1,026 commits from open-source projects in which developers declared they wanted to improve the image size or build time. We categorize such changes and define a taxonomy of 46 optimization strategies, including practices such as removing temporary files (e.g., package manager cache) or improving the structure of the Dockerfile (e.g., using multi-stage build). Such a taxonomy reveals some previously undocumented techniques, providing valuable insights for developers. As for the measurement study, we empirically assess the actual improvement in image size and build time (over 20 builds) of the most frequent change patterns observed in the mining study. Our results show that changing the base image has the best results in terms of image size, but it negatively affects the build time. <br>On the other hand, we observed no change pattern that significantly reduces the build time. Our study provides interesting insights for both tool makers who want to support practitioners in improving Dockerfile build performance and practitioners themselves, who can better decide how to optimize their Dockerfiles.<br>
DOI: 10.6084/m9.figshare.24579580.v1
title: Replication Package for "Mining and Measuring the Impact of Change Patterns for Improving the Size and Build Time of Docker Images"

description: Replication Package for "Mining and Measuring the Impact of Change Patterns for Improving the Size and Build Time of Docker Images"Abstract: Software containerization, for which Docker is the reference tool, is widely adopted in modern software engineering. The performance of the Docker build process in terms of image size and build time is crucial to developers. While previous work and Docker itself provide best practices to keep the images small and fast to build, we conjecture that developers might adopt undocumented practices. In this paper, we present an empirical study in which we aim (i) to mine the practices adopted by developers for improving the image size and build time, and (ii) to measure the impact of such practices. As for the mining study, we manually analyzed a total of 1,026 commits from open-source projects in which developers declared they wanted to improve the image size or build time. We categorize such changes and define a taxonomy of 46 optimization strategies, including practices such as removing temporary files (e.g., package manager cache) or improving the structure of the Dockerfile (e.g., using multi-stage build). Such a taxonomy reveals some previously undocumented techniques, providing valuable insights for developers. As for the measurement study, we empirically assess the actual improvement in image size and build time (over 20 builds) of the most frequent change patterns observed in the mining study. Our results show that changing the base image has the best results in terms of image size, but it negatively affects the build time. <br>On the other hand, we observed no change pattern that significantly reduces the build time. Our study provides interesting insights for both tool makers who want to support practitioners in improving Dockerfile build performance and practitioners themselves, who can better decide how to optimize their Dockerfiles.<br>
DOI: 10.7910/dvn/1n0zj8
title: R lines observation nursery at Mieso 2014

description: Data on agronomic traits of maturity, plant height, grain yield, resistance/tolerance to biotic (insects and disease) and abiotic (drought) stress and plant aspect score collected for 264 R lines (hybrid parents) under observation nursery conducted at Mieso (Western Hararghe, Ethiopia) in 2014
DOI: 10.7910/dvn/1ntrif
title: Replication Data for: Voice

description: All R code for replicating the word embedding model in "Voice." See https://github.com/malgeehewitt/Text-Mining-Code/blob/main/WordEmbeddingFunctions.R.
DOI: 10.7910/dvn/b1158q
title: Are consumers that are enrolled in consumer directed health plans more likely to seek out health information on their own?

description: Consumer directed health plans (CDHP), which include a high deductible health plan and a health savings account (HSA) or health reimbursement account (HRA), have become increasingly popular over the past few decades. Proponents of these plans contend that, by making consumers increasingly cost-conscious, they will take the initiative to find information on health, medical pricing, and alternative procedures in order to educate themselves about prevention. Opponents of such plans contend that they increase the vulnerability of patients and high deductibles in such plans may deter patients from seeking preventive care. Using the 2012 Massachusetts Health Reform Survey I attempt to investigate if enrollees in high deductible health plans are more likely to seek out health information on medical prices, healthy living, alternative medicines, etc. thereby taking more responsibility for their health. My result was that
I had no result. After thorough econometric analysis I was not able to obtain any significant variables, which shows that the variables that were included in my model were not able to explain why people enrolled in HDHPs. Various missing socioeconomic variables along with other factors help explain my result of no result.