cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/yraebw
title: Petition of Zaccheus Howwoswee

description: &lt;p&gt;Petition subject: Property &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448954"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448954&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Gayhead &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Samuel Kinniston, Edgartown; committee on the judiciary; committee on towns &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Zaccheus Howwoswee&lt;/li&gt;&lt;li&gt;Samuel Peters&lt;/li&gt;&lt;li&gt;Aaron Cooper&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1853-01-16,1854-03-02,1854-03-03 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 16, 1853 and referred to committee on the judiciary and received in the House on March 2, 1854 and taken from files of last year and referred to the committee on towns and sent for concurrence and received in the Senate on March 3, 1854 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 3.0 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, received, taken from files, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Males of color signatures: 3.0 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: on behalf of the Indians and people of colour resident at Gay Head, overseers of Gay Head, [males of color] &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;Native American tribe: Gayhead &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; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Chilmark, Dukes county, boudnaries, records, disputes, encroachment, lands, neither the disposition or the ability to go to law for our rights, appointment, commissioners &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1854, Docket 14074 &lt;/p&gt;
DOI: 10.7910/dvn/71hvrj
title: Wright Casebook Edited; Docketed Case: 78-1554
DOI: 10.7910/dvn/aicw6r
title: Replication data for: State Lottery Adoptions as Policy Innovations: An Event History Analysis, 1990

description: Two types of explanations of state government innovation have been proposed: internal determinants models (which posit that the factors causing a state government to innovate are political, economic, and social characteristics of a state) and regional diffusion models (which point toward the role of policy adoptions by neighboring states in prompting a state to adopt). We show that the two are conceptually compatible, relying on Mohr's theory of organizational innovation. Then we develop and test a unified explanation of state lottery adoptions reflecting both internal and regional influences. The empirical results provide a great degree of support for Mohr's theory. For the empirical analysis, we rely on event history analysis, a form of pooled cross-sectional time series analysis, which we believe may be useful in a wide variety of subfields of political science. Event history analysis may be able to explain important forms of political behavior (by individuals, organizations, or governments) even if they occur only rarely.
DOI: 10.7910/dvn/ajy6qr
title: Replication data for: Patents, Data Exclusivity and the Development of New Drugs

description: Gaessler, Fabian, and Wagner, Stefan, (2022) “Patents, Data Exclusivity, and the Development of New Drugs.” Review of Economics and Statistics 104:3, 571–586.
description: Volume XX, Issue X
DOI: 10.7910/dvn/eblenc
title: Dataset for Context-aware cognitive radio using deep learning

description: This dataset contains the model, dataset and training data used for training the CNN used in Spectrum Awareness winners of the Dyspan 2017 Challenge.

If you use the this data for your own publications please cite:
F. Paisana et al., "Context-aware cognitive radio using deep learning," 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Piscataway, NJ, 2017, pp. 1-2.
doi: 10.1109/DySPAN.2017.7920784
DOI: 10.7910/dvn/euhrsr
title: Population Census of Brazil, 1980
title: Alternate title: Amostra de Uso Publico Do Censo Demografico de 1980

description: The data is taken from the 1980 Census. Socio-economic terms were obtained from the 25% sample and are stored in Stock Data from the IBGE. There are two IBGE prepared samples, 25% and 3% NOTE: ALL documentation is in Portuguese.
description: Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: The UCLA Social Science Data Archive (“the Archive”) gives permission and any required licenses to Data-PASS to make the Content available for archiving, preservation and access (with permission of the Archive), within the Data Preservation Alliance for the Social Sciences ("Data-PASS") in accordance with the Data-PASS terms (the "Terms") of use (available from: http://www.icpsr.org/Data-PASS). Including permission to: (a) redisseminate copies of the Data Collection in a variety of distribution formats only according to the standard terms of use of the Archive; (b) promote and advertise the Data Collection in any publicity (in any form) for Data-PASS and the Archive; (c) describe, catalog, validate and document the Content; (d) store, translate, copy or re-format the Data Collection in any way to ensure its future preservation and accessibility, improve usability and/or protect respondent confidentiality; (e) incorporate metadata (cataloging information) or documentation regarding this study into public access catalogues. The Archive represents and warrants that the Content conforms to all Terms and that the Archive is lawfully entitled and has full authority to license Data-Pass to use the Materials in the ways described in the Terms.;
DOI: 10.7910/dvn/mpqqc0
title: Replication Data for: Have Your Cake and Eat it Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag Models

description: Although recent articles have stressed the importance of testing for unit-roots and cointegration in time series analysis, practitioners have been left without a straightforward procedure to implement this advice. I propose using the autoregressive distributed lag model and bounds cointegration test developed by Pesaran, Shin and Smith (2001) as an approach to dealing with some the most commonly encountered issues in time series analysis. Through Monte Carlo experiments I show that this procedure performs better than existing cointegration tests under a variety of situations. I illustrate how to implement this strategy with two step-by-step replication examples. To further aid users, I have designed software programs in order to test and dynamically model the results from this approach.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.

<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.15468/dl.wuh74x
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000504-260129131611470/datasets/export for details.
DOI: 10.15468/dl.ptnjqa
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apteronotus magdalenensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 33 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025099-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16962951
title: Dataset from the paper "Time-Dependent Modeling of the Sub-Hour Spectral Evolution During the 2013 Outburst of Mrk 421", MAGIC Collaboration et al. 2025

description: This Zenodo entry releases the dataset presented in the paper "Time-Dependent Modeling of the Sub-Hour Spectral Evolution During the 2013 Outburst of Mrk 421", MAGIC Collaboration et al. 2025. 

The four main elements are:



A .zip file "data_SEDs_mrk421_2013_flare.zip". It contains the 310 simultaneous SEDs from radio to TeV binned over 15-minute intervals between April 11th 2013 and April 19th 2013. Each SED is saved in a separate .txt file, whose filename includes the starting and ending MJDs over which the SED is computed. The structure of the individual .txt file is the following:- 1st column: frequency in Hz - 2nd column: nu_Fnu in ergs/cm^2/s - 3rd and 4th column: upper and lower uncertainty on nu_Fnu in ergs/cm^2/s. If equal to 0, the 2nd column provides an upper limit on nu_Fnu with a 95% confidence level

A python script plot_SED.py. It is an example showing how to access and plot the broadband SEDs. The script can generate a 2 x 1 grid of python subplots. The upper panel is the SED at a given MJD bin. In a lower panel, the >0.8TeV light curve (also computed over 15-minute bins) is shown together with a vertical line highlighting the time correspondng to the SED plotted in the top panel. The >0.8TeV light curve are from MAGIC & VERITAS observations and taken from Acciari et al. 2020, https://ui.adsabs.harvard.edu/abs/2020ApJS..248...29A/abstract . For convenience, we also provide them in this Zenodo entry (files  magic_lightghcurve_08TeV_CDS.txt & veritas_lightghcurve_08TeV_CDS.txt)

A .gif "animation_model.gif". It illustrates the SED model evolution throughout the flare, and a comparison with the data (plotted with black markers). The lower panel is the VHE light curve above 0.8TeV from MAGIC & VERITAS observations binned over 15-minute intervals, as for the SEDs. We refer the reader to the paper for more details on the model. 

A .zip file "data_model_SEDs_mrk421_2013_flare.zip". It contains all the individual 15-min time frames (model + data) as .pdf files featured in the animation_model.gif animation.
DOI: 10.5281/zenodo.16962713
title: Examining the legibility of humanoid robot arm movements in a pointing task (data)

description: Human–robot interaction requires robots whose actions are legible, allowing humans to interpret, predict, and feel safe around them. This study investigates the legibility of humanoid robot arm movements in a pointing task, aiming to understand how humans predict robot intentions from truncated movements and bodily cues. We designed an experiment using the NICO humanoid robot, where participants observed its arm movements towards targets on a touchscreen. Robot cues varied across conditions: gaze, pointing, as well as congruent or incongruent gaze-pointing. Arm trajectories were stopped at 60% or 80% of their full length, and participants predicted the final target. We tested the multimodal superiority and ocular primacy hypotheses, both of which were confirmed by the experiment.
DOI: 10.5281/zenodo.16962714
title: Examining the legibility of humanoid robot arm movements in a pointing task (data)

description: Human–robot interaction requires robots whose actions are legible, allowing humans to interpret, predict, and feel safe around them. This study investigates the legibility of humanoid robot arm movements in a pointing task, aiming to understand how humans predict robot intentions from truncated movements and bodily cues. We designed an experiment using the NICO humanoid robot, where participants observed its arm movements towards targets on a touchscreen. Robot cues varied across conditions: gaze, pointing, as well as congruent or incongruent gaze-pointing. Arm trajectories were stopped at 60% or 80% of their full length, and participants predicted the final target. We tested the multimodal superiority and ocular primacy hypotheses, both of which were confirmed by the experiment.
DOI: 10.5281/zenodo.17234592
title: IoTID20 and InSDN

description: Dataset and the source code used in the article ImprovedRFECV with L1 and L2 Regularization and Decision Tree for Automated Feature Selection in SDN-IoT Threat Detection and Threat Classification. Source code written in Jupyter Notebook.
DOI: 10.5281/zenodo.17234593
title: IoTID20 and InSDN

description: Dataset and the source code used in the article ImprovedRFECV with L1 and L2 Regularization and Decision Tree for Automated Feature Selection in SDN-IoT Threat Detection and Threat Classification. Source code written in Jupyter Notebook.
DOI: 10.15468/dl.y7k9ba
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis vertebralis"
 ]
}

 The dataset includes 516 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001065-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17593922
title: A Branch-and-Bound Algorithm for Radial Distribution System Reconfiguration: Test Data and Results

description: This dataset is the one used in the publication, "A Branch-and-Bound Algorithm for Radial Distribution System Reconfiguration". It includes the data for the 14-, 33-, 69-, 84-, and 118-bus systems analyzed in the publication. The results of the branch-and-bound algorithm are labeled as "BB_algorithm," and the results of the MINLP model are labeled as "MINLP."
DOI: 10.5281/zenodo.17593923
title: A Branch-and-Bound Algorithm for Radial Distribution System Reconfiguration: Test Data and Results

description: This dataset is the one used in the publication, "A Branch-and-Bound Algorithm for Radial Distribution System Reconfiguration". It includes the data for the 14-, 33-, 69-, 84-, and 118-bus systems analyzed in the publication. The results of the branch-and-bound algorithm are labeled as "BB_algorithm," and the results of the MINLP model are labeled as "MINLP."
DOI: 10.15468/dl.exswcn
title: Occurrence Download

description: A dataset containing 3807 records in GBIF matching the query:
SELECT
 '634' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 72.77152049497572
 AND decimalLatitude &lt;= 79.58564306880243
 AND decimalLongitude &gt;= 86.39962160260116
 AND decimalLongitude &lt;= 134.17318446633652
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3807 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001078-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmsjv3
title: Occurrence Download

description: A dataset containing 32720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-210.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus",
 "Year 1950-2026"
 ]
}

 The dataset includes 32720 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001066-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzsbwx
title: Occurrence Download

description: A dataset containing 136266205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124.42277 31.367,-102.49079 31.367,-102.49079 42.0698,-124.42277 42.0698,-124.42277 31.367))",
 "OccurrenceStatus is Present",
 "Year 1970-2020"
 ]
}

 The dataset includes 136266205 records from 1971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001061-260129131611470/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.29663741
title: raw data-Eimeria tenella can promote secondary EPEC infection in hosts by increasing the chicken TGF-β1.zip

description: Previous studies demonstrated that <i>Eimeria tenella</i> induced severe secondary bacterial infections in chicks, exacerbating disease progression and causing greater economic losses. It was well known that transforming growth factor-β1 (TGF-β1) influenced cytoskeletal architecture, serving as a key factor for bacterial adhesion to host cells. In this study, both a primary chicken embryonic cecal epithelial cell (PCEC) infection model and an in vivo chicken infection model were established. The role of TGF-β1 in <i>E. tenella</i>-induced secondary infection by enteropathogenic <i>Escherichia coli</i> (EPEC) was investigated through analyses of host physiological, pathological, and transcriptional changes, as well as cellular structural alterations. Infection with <i>E. tenella</i> significantly enhanced TGF-β1 secretion by PCECs and increased EPEC adhesion. Exogenous administration of chicken TGF-β1 led to pronounced cytoskeletal remodeling in PCECs, and EPEC adhesion was dose-dependently increased following TGF-β1 treatment. Transcriptomic analysis of cecal tissue revealed significant changes in TGF-β1–associated genes, including <i>INHBA</i>, <i>LEFTY1</i>, <i>IFNG</i>, and <i>ROCK1</i>, indicating host regulatory responses at the genetic level to <i>E. tenella</i> infection that may contribute to elevated TGF-β1 secretion. These findings suggested that <i>E. tenella</i> promoted pathogenic adhesion via TGF-β1–mediated cytoskeletal modifications in host cells. The study provided a mechanistic basis for the role of TGF-β1 in facilitating secondary pathogen infections during <i>E. tenella</i> infection and identified potential molecular targets for the development of anti-secondary infection therapeutics.
DOI: 10.6084/m9.figshare.29663741.v6
title: raw data-Eimeria tenella can promote secondary EPEC infection in hosts by increasing the chicken TGF-β1.zip

description: Previous studies demonstrated that <i>Eimeria tenella</i> induced severe secondary bacterial infections in chicks, exacerbating disease progression and causing greater economic losses. It was well known that transforming growth factor-β1 (TGF-β1) influenced cytoskeletal architecture, serving as a key factor for bacterial adhesion to host cells. In this study, both a primary chicken embryonic cecal epithelial cell (PCEC) infection model and an in vivo chicken infection model were established. The role of TGF-β1 in <i>E. tenella</i>-induced secondary infection by enteropathogenic <i>Escherichia coli</i> (EPEC) was investigated through analyses of host physiological, pathological, and transcriptional changes, as well as cellular structural alterations. Infection with <i>E. tenella</i> significantly enhanced TGF-β1 secretion by PCECs and increased EPEC adhesion. Exogenous administration of chicken TGF-β1 led to pronounced cytoskeletal remodeling in PCECs, and EPEC adhesion was dose-dependently increased following TGF-β1 treatment. Transcriptomic analysis of cecal tissue revealed significant changes in TGF-β1–associated genes, including <i>INHBA</i>, <i>LEFTY1</i>, <i>IFNG</i>, and <i>ROCK1</i>, indicating host regulatory responses at the genetic level to <i>E. tenella</i> infection that may contribute to elevated TGF-β1 secretion. These findings suggested that <i>E. tenella</i> promoted pathogenic adhesion via TGF-β1–mediated cytoskeletal modifications in host cells. The study provided a mechanistic basis for the role of TGF-β1 in facilitating secondary pathogen infections during <i>E. tenella</i> infection and identified potential molecular targets for the development of anti-secondary infection therapeutics.
DOI: 10.5281/zenodo.15319016
title: Global Assessment of Agrivoltaics Systems Potential for Major Cropping Systems

description: The dataset and codes support the research presented in the manuscript "Global Assessment of Agrivoltaic Systems Potential for Major Cropping Systems" (Karimzadeh et al., 2025). It includes MATLAB scripts and processed data for evaluating the Daily Light Integral (DLI) and precipitation during the crop calendars of wheat, maize, rice, and soybean at the global scale.

The analysis is based on daily solar radiation and precipitation data from 2014 to 2023. Scripts (wheat_zenodo.m, maize_zenodo.m, rice_zenodo.m, and soybean_zenodo.m) are provided to reproduce the DLI and precipitation datasets. The all4crops_final.m script loads the combined results and generates the figures used in the publication.

Contents:





MATLAB scripts for each crop




Pre-processed DLI and precipitation data (stored in DLI_prec_results)




Main script for figure reproduction



Recommended Use:Run all4crops_final.m after ensuring that the DLI_prec_results folder is accessible in your MATLAB path.

Contact:





Dr. Majdi Abou Najm (Corresponding author): mabounajm@ucdavis.edu




Dr. Saeed Karimzadeh (First author): skarimzadeh@ucdavis.edu