cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/3txzo
title: Passed Acts; St. 1837, c.221, SC1/series 229, Petition of Gilbert H. Durfee

description: &lt;p&gt;Petition subject: Trial by jury &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10956307"&gt;http://nrs.harvard.edu/urn-3:FHCL:10956307&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Fall River &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Micah H. Ruggles, Fall River; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Gilbert H. Durfee&lt;/li&gt;&lt;li&gt;Elisha Smith&lt;/li&gt;&lt;li&gt;Thomas D. Allen&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1837-02-02 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 2, 1837 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 51 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 51 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens &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;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Trial by jury for individuals accused of being fugitive slaves; report: http://archive.org/details/reportontrialbyj00mass &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1837, c.221, passed April 19, 1837 &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: 10.6084/m9.figshare.31082404
title: <b>Study of mobile phone ownership among rural women in Ghana</b>

description: Limited evidence exists on the use of mobile technology to advance breast awareness and screening in Ghana. We investigated women’s ownership and use of mobile phones to inform the development of a mobile phone application for breast awareness and screening in rural Ghana. We analyzed data from 708 women aged &gt;25 years in a cross-sectional survey conducted in fourteen rural communities of the Ashanti region, Ghana. Cross-tabulations, chi-square tests and Firth's Penalized Logistic Regression were performed using STATA version 18. Most women owned a mobile phone (98.2%), were willing to (1) receive text messages about breast cancer (BC) and screening (93.8%), and (2) set up appointments for clinical breast examination (93.9%). Women aged 25-29 years showed the highest willingness to receive messages about BC and screening (97.3%) and to schedule appointments (96.7%; p-values &lt; .001). Women with secondary or higher education were most willing (96.1% and 96.3%, respectively; p &lt; .001). Gainfully employed women in the government and private sectors showed the highest willingness for both messages (98.8% for both; p-values .010 and .001). Women who were comfortable reading and receiving SMS (99.1% and 98.7%; p-values &lt; .001) and writing and sending SMS (99.1% and 98.8%; p-values &lt; .001) expressed the greatest willingness. Additionally, women who responded to messages on the same day exhibited the highest willingness (98.3% and 97.8%; p-values &lt;.001). In conclusion, most women in rural Ghana owned mobile phones and were willing to accept a mobile health intervention for breast awareness and screening appointments.
DOI: 10.6084/m9.figshare.31082404.v1
title: <b>Study of mobile phone ownership among rural women in Ghana</b>

description: Limited evidence exists on the use of mobile technology to advance breast awareness and screening in Ghana. We investigated women’s ownership and use of mobile phones to inform the development of a mobile phone application for breast awareness and screening in rural Ghana. We analyzed data from 708 women aged &gt;25 years in a cross-sectional survey conducted in fourteen rural communities of the Ashanti region, Ghana. Cross-tabulations, chi-square tests and Firth's Penalized Logistic Regression were performed using STATA version 18. Most women owned a mobile phone (98.2%), were willing to (1) receive text messages about breast cancer (BC) and screening (93.8%), and (2) set up appointments for clinical breast examination (93.9%). Women aged 25-29 years showed the highest willingness to receive messages about BC and screening (97.3%) and to schedule appointments (96.7%; p-values &lt; .001). Women with secondary or higher education were most willing (96.1% and 96.3%, respectively; p &lt; .001). Gainfully employed women in the government and private sectors showed the highest willingness for both messages (98.8% for both; p-values .010 and .001). Women who were comfortable reading and receiving SMS (99.1% and 98.7%; p-values &lt; .001) and writing and sending SMS (99.1% and 98.8%; p-values &lt; .001) expressed the greatest willingness. Additionally, women who responded to messages on the same day exhibited the highest willingness (98.3% and 97.8%; p-values &lt;.001). In conclusion, most women in rural Ghana owned mobile phones and were willing to accept a mobile health intervention for breast awareness and screening appointments.
DOI: 10.15468/dl.t7uu5c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Simulium mie",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018157-260108223611665/datasets/export for details.
DOI: 10.15468/dl.g4ennn
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.15.7_1, CHN.15.9_1, CHN.15.1_1, CHN.31.1_1, CHN.31.3_1, CHN.31.2_1, CHN.24_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ixobrychus cinnamomeus, Botaurus stellaris, Ixobrychus flavicollis, Nycticorax nycticorax)",
 "Year 2011-2015"
 ]
}

 The dataset includes 323 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018158-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18064908
title: Replication Data for: The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members (Irmak, 2020)

description: This dataset contains the bibliometric data used in the article “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members” published in Work (2020; 66(3):479–489), doi:10.3233/WOR-203193.

The dataset includes the PubMed COVID-19 publication results, citation network edge lists, co-citation matrices, and supplementary files used to construct the citation and co-citation network analysis. The purpose of sharing this dataset is to ensure transparency, reproducibility, and reusability for researchers working in bibliometrics, COVID-19 literature analysis, and rehabilitation-related knowledge mapping.

Researchers can analyze, reuse, or extend this dataset for network visualization, core article detection, temporal evolution assessment, or comparative bibliometric studies. The dataset may support further meta-research in evidence synthesis and research trends during the COVID-19 pandemic.

Please cite this dataset as:Irmak, Rafet (Year). Dataset for “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members”. Zenodo. DOI: (assigned after publication).

Included dataset files:

• COVID19_PMID_Master_List.csv – PubMed COVID-19 PMID base list.• COVID19_Citation_Network_Edgelist.csv – Raw citation network (directed edges).• COVID19_CoCitation_Network.csv – Processed co-citation dataset.• COVID19_CoCitation_Weighted.csv – Weighted co-citation edge list.

All files are in CSV format for use in R, Python, Gephi or network analysis environments.
DOI: 10.5281/zenodo.18064907
title: Replication Data for: The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members (Irmak, 2020)

description: This dataset contains the bibliometric data used in the article “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members” published in Work (2020; 66(3):479–489), doi:10.3233/WOR-203193.

The dataset includes the PubMed COVID-19 publication results, citation network edge lists, co-citation matrices, and supplementary files used to construct the citation and co-citation network analysis. The purpose of sharing this dataset is to ensure transparency, reproducibility, and reusability for researchers working in bibliometrics, COVID-19 literature analysis, and rehabilitation-related knowledge mapping.

Researchers can analyze, reuse, or extend this dataset for network visualization, core article detection, temporal evolution assessment, or comparative bibliometric studies. The dataset may support further meta-research in evidence synthesis and research trends during the COVID-19 pandemic.

Please cite this dataset as:Irmak, Rafet (Year). Dataset for “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members”. Zenodo. DOI: (assigned after publication).

Included dataset files:

• COVID19_PMID_Master_List.csv – PubMed COVID-19 PMID base list.• COVID19_Citation_Network_Edgelist.csv – Raw citation network (directed edges).• COVID19_CoCitation_Network.csv – Processed co-citation dataset.• COVID19_CoCitation_Weighted.csv – Weighted co-citation edge list.

All files are in CSV format for use in R, Python, Gephi or network analysis environments.
DOI: 10.5281/zenodo.18291251
title: Opuntia sulphurea var. pampeana (Speg.) Backeb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18291252
title: Opuntia sulphurea var. pampeana (Speg.) Backeb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.8k6tfy
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Simulium subcostatum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018159-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18162711
title: Datové podklady k molekulárně-biologickým analýzám městských savců v Brně

description: Datový soubor zahrnuje výsledky molekulárně-biologických analýz biologických vzorků odebraných od savců uhynulých nebo ulovených na území města Brna v období let 2023–2025. Data byla získána v rámci výzkumných aktivit zaměřených na studium městské zvěře jako potenciálního rezervoáru zoonotických patogenů a slouží jako podkladový dataset k vědeckému článku „Urban wildlife as a reservoir of zoonotic pathogens: A multi-pathogen qPCR survey from a Central European City“. Soubor obsahuje laboratorní výsledky na úrovni jednotlivých vzorků, včetně identifikace vzorku, typu biologického materiálu, použité analytické metody a výsledků analýz. Data jsou určena pro odborné zpracování, vědecké analýzy, projektové a aplikační výstupy, podporu managementu živočichů v městském prostředí a dlouhodobou archivaci. Interpretace výsledků vyžaduje znalost použité metodiky a kontextu projektu.

Tento projekt „Veterinární a sociologické aspekty výskytu volně žijících zvířat v urbánním prostředí jako podklad pro jejich efektivní management a rozhodování státní správy“ byl spolufinancován se státní podporou Technologické agentury ČR v rámci Programu Prostředí pro život a financován v rámci Národního plánu obnovy z evropského Nástroje pro oživení a odolnost.
description: The dataset comprises results of molecular-biological analyses of biological samples collected from mammals found dead or harvested within the city of Brno during the period 2023–2025. The data were obtained as part of research activities focused on investigating urban wildlife as a potential reservoir of zoonotic pathogens and serve as a supporting dataset for the scientific article “Urban wildlife as a reservoir of zoonotic pathogens: A multi-pathogen qPCR survey from a Central European City.” The dataset contains laboratory results at the level of individual samples, including sample identification, type of biological material, analytical methods used, and analysis outcomes. The data are intended for expert processing, scientific analyses, project-based and applied outputs, support for urban wildlife management, and long-term data archiving. Interpretation of the results requires knowledge of the applied methodologies and the project context.

This project, SS06020195: “Veterinary and sociological aspects of the occurrence of free-ranging wildlife in urban environments as a basis for their effective management and decision-making by public authorities,” was co-financed with state support from the Technology Agency of the Czech Republic under the Environment for Life Programme and funded under the National Recovery Plan through the European Recovery and Resilience Facility.
DOI: 10.5281/zenodo.18162712
title: Datové podklady k molekulárně-biologickým analýzám městských savců v Brně

description: Datový soubor zahrnuje výsledky molekulárně-biologických analýz biologických vzorků odebraných od savců uhynulých nebo ulovených na území města Brna v období let 2023–2025. Data byla získána v rámci výzkumných aktivit zaměřených na studium městské zvěře jako potenciálního rezervoáru zoonotických patogenů a slouží jako podkladový dataset k vědeckému článku „Urban wildlife as a reservoir of zoonotic pathogens: A multi-pathogen qPCR survey from a Central European City“. Soubor obsahuje laboratorní výsledky na úrovni jednotlivých vzorků, včetně identifikace vzorku, typu biologického materiálu, použité analytické metody a výsledků analýz. Data jsou určena pro odborné zpracování, vědecké analýzy, projektové a aplikační výstupy, podporu managementu živočichů v městském prostředí a dlouhodobou archivaci. Interpretace výsledků vyžaduje znalost použité metodiky a kontextu projektu.

Tento projekt „Veterinární a sociologické aspekty výskytu volně žijících zvířat v urbánním prostředí jako podklad pro jejich efektivní management a rozhodování státní správy“ byl spolufinancován se státní podporou Technologické agentury ČR v rámci Programu Prostředí pro život a financován v rámci Národního plánu obnovy z evropského Nástroje pro oživení a odolnost.
description: The dataset comprises results of molecular-biological analyses of biological samples collected from mammals found dead or harvested within the city of Brno during the period 2023–2025. The data were obtained as part of research activities focused on investigating urban wildlife as a potential reservoir of zoonotic pathogens and serve as a supporting dataset for the scientific article “Urban wildlife as a reservoir of zoonotic pathogens: A multi-pathogen qPCR survey from a Central European City.” The dataset contains laboratory results at the level of individual samples, including sample identification, type of biological material, analytical methods used, and analysis outcomes. The data are intended for expert processing, scientific analyses, project-based and applied outputs, support for urban wildlife management, and long-term data archiving. Interpretation of the results requires knowledge of the applied methodologies and the project context.

This project, SS06020195: “Veterinary and sociological aspects of the occurrence of free-ranging wildlife in urban environments as a basis for their effective management and decision-making by public authorities,” was co-financed with state support from the Technology Agency of the Czech Republic under the Environment for Life Programme and funded under the National Recovery Plan through the European Recovery and Resilience Facility.
DOI: 10.5281/zenodo.18291257
title: Orchidaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18291264
title: Orcya Vell. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18291263
title: Orcya Vell. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.e229gw
title: Occurrence Download

description: A dataset containing 6323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pomacea canaliculata"
 ]
}

 The dataset includes 6323 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018160-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291269
title: Orcya adhaerescens Vell. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18291270
title: Orcya adhaerescens Vell. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.tte2nv
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Simulium uchidai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 330 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018161-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291273
title: Ornithopus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18291274
title: Ornithopus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.euckwy
title: Occurrence Download

description: A dataset containing 80864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((5.35 43.45,5.55 43.45,5.55 43.6,5.35 43.6,5.35 43.45))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2014-2024"
 ]
}

 The dataset includes 80864 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018142-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcnmza
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Simulium arakawae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018162-260108223611665/datasets/export for details.
DOI: 10.15468/dl.v5wf4s
title: Occurrence Download

description: A dataset containing 5035635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5035635 records from 1639 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018155-260108223611665/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.26224232
title: <b>Sound-safety associative learning induces synaptic plasticity in the tail of striatum</b>

description: These excel sheets contain raw data required to produce the data in Stanley et al. 2024 "<b>Sound-safety associative learning induces synaptic plasticity in the tail of striatum</b>".
DOI: 10.15468/dl.wng95c
title: Occurrence Download

description: A dataset containing 38676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Hyla cinerea (Schneider, 1799))"
 ]
}

 The dataset includes 38676 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003269-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/n2t-21h-6jq
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vcr-kph-kt8
title: Lepidophyllum Cass.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lk7-cxs-0s5
title: Magnoliopsida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y67-nze-0ch
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c76-tyg-hw0
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hq4-gr7-pmg
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wff-bcw-a8q
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wpg-4s7-kxx
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/34r-97r-s1g
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/50g-zf3-0c1
title: Chiroptera Blumenbach, 1779

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/519-rlg-byq
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6sv-nty-afg
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/svl-694-veq
title: Batagur

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.