cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/oy3cuq
title: Replication Data for: "Gênero, Dinâmicas de Poder Intrapartidárias e Manterrupting no Legislativo"

description: Data from article: "Gênero, Dinâmicas de Poder Intrapartidárias e Manterrupting no Legislativo", by Debora Thome and Mauricio Izumi, published in Revista DADOS, v. 68, n. 2 de 2025
description: The increased participation of women as elected representatives in the Legislature has brought gender issues to the forefront, resulting in more frequent interactions between legislators, both men, and women. According to some research, women still often face limitations in exerting power and agenda-setting. To explore this phenomenon, we conducted an analysis of approximately 70,000 speeches delivered by Brazilian senators between 1995 and 2018, focusing on gender dynamics within the speeches, particularly interruptions. Our findings indicate that manterrupting, or the act of men interrupting women, was not prevalent in the Senate as a whole. Contrary to the predictions in existing literature, women were not interrupted more frequently than men in general. However, our research reveals that female leaders experience higher rates of interruption compared to their male counterparts, particularly from male members within the same political party. These results suggest that barriers limiting the influence of women in plenary sessions are likely rooted within their own parties.
DOI: 10.7910/dvn/oywqna
title: A13_25941.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/7ec84397-dd47-420c-98db-ecd5c85d465f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/7ec84397-dd47-420c-98db-ecd5c85d465f
DOI: 10.7910/dvn/s6zmen
title: Replication Data for: Changing the Dialogue: Descriptive Candidacies & Position Taking in Campaigns for the U.S. House of Representatives

description: Although the benefits of increasing descriptive diversity in Congress are well-explored, less attention has been paid to the positive impacts of increasing descriptive diversity in elections. Employing a comprehensive collection of campaign platform text from nearly 5,000 campaign websites, we find that Democratic male and white candidates are significantly more likely to take up women's and Black-associated issues when a candidate who possesses that identity runs in their same-party primary election. Extending our analysis to military veterans, we find that Republicans are more likely to discuss veterans' issues when there is a military veteran in their primary; conversely, Democrats are not any more likely to discuss these issues when they run against a veteran. Looking to candidate position taking in the general election, our findings suggest that simply the presence of candidates from underrepresented populations in congressional races is important to broadening substantive representation in the legislative arena.
DOI: 10.7910/dvn/x611rl
title: Adeyemi Et Al, July 2022 Dataverse

description: molecular docking results
DOI: 10.7910/dvn/94eu5t
title: REPLICATION DATA FOR: Bootstrap Methods for Inference in the Parks Model

description: This dataset contains all the materials needed to reproduce the results in "Bootstrap Methods for Inference in the Parks Model". Please read the README document first. The results were obtained using SAS/IML software, and the files consist of SAS data sets and SAS programs.
DOI: 10.7910/dvn/avshn
title: House Unpassed Legislation 1851, Docket 2712, SC1/series 230, Petition of Francis Stone Jr.

description: &lt;p&gt;Petition subject: Women may be allowed to vote and hold office &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029720"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029720&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: West Brookfield &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: James M. Stone, Charlestown; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Francis Stone Jr.&lt;/li&gt;&lt;li&gt;William B. Stone&lt;/li&gt;&lt;li&gt;Phebe C. Stone&lt;/li&gt;&lt;li&gt;Mary Arthur&lt;/li&gt;&lt;li&gt;Melinda Fry&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1851-03-04 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 4, 1851 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 30 &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): 12 &lt;/p&gt; &lt;p&gt;Female signatures: 12 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 6 &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;: Printed &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: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: women's suffrage &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1851, Docket 2712 &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/mnq1iu
title: Replication Data for: Beliefs about Climate Beliefs: The Importance of Second-Order Opinions for Climate Politics

description: Replication data and scripts for Mildenberger and Tingley. 2017. "Beliefs about Climate Beliefs: The Importance of Second-Order Opinions for Climate Politics." British Journal of Political Science.
DOI: 10.7910/dvn/opwoje
title: Stiffness, Noise Level 0

description: Stiffness, Noise Level 0
DOI: 10.7910/dvn/shs7df
title: A global soil moisture dataset with high spatio-temporal resolution from 2000 to 2019

description: Soil moisture plays a key role in the water and energy exchange between the land surface and the atmosphere, and widely used in agriculture, hydrology, and ecology, especially under climate change. Long-term series of soil moisture with high spatio-temporal resolution can provide sufficient information to understand the role of the climate change at global and regional scales. This paper presents the first global soil moisture dataset (2000–2019) with high spatio-temporal resolution (1 day, 0.05°) named GHSTSM, based on satellite-based optical (i.e. MODIS) and microwave (ECV) products using a machine learning method named general regression neural network (GRNN). The dataset itself reveals significant information on the soil moisture and its changes over the TP, and can aid to understand the potential driven mechanisms for global climate change.
DOI: 10.7910/dvn/ssinsf
title: Wright Files I-Z Edited; Docketed Case: 22406
DOI: 10.7910/dvn/xw6ojt
title: Replication Data for: 'Busting the ‘Princelings’: The Campaign against Corruption in China’s Primary Land Market'

description: The data and programs replicate tables and figures from "Busting the ‘Princelings’: The Campaign against Corruption in China’s Primary Land Market", by Chen and Kung.
DOI: 10.15468/dl.dvr9xa
title: Occurrence Download

description: A dataset containing 207383436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON((-41.39608 84.27881,-59.05427 82.40565,-63.23647 81.287,-66.26033 80.92965,-68.6922 80.21551,-74.59817 78.03834,-73.40153 75.5308,-60.48936 72.05571,-55.07308 63.2449,-51.16132 58.41576,-41.83328 57.61891,-29.7971 64.17769,-18.36273 60.25676,-9.3356 57.93978,-13.24735 51.52843,-14.45097 39.81779,-9.93735 35.77757,-6.30781 35.8282,-5.71533 35.89009,-5.136 36.06909,-4.44082 35.4022,-2.54486 35.56517,-1.86154 35.63341,0.2849 36.62688,2.18086 36.90533,3.7819 37.16598,5.29866 37.16598,6.63637 37.35879,7.85276 37.3743,9.11673 37.47468,10.08578 37.58327,11.18122 37.3743,11.27602 36.81139,11.23389 36.11677,12.0351 34.24509,14.12066 33.14088,17.19633 32.78739,22.92634 33.966,27.36468 32.39131,32.13505 32.39131,33.48329 32.58677,57.10667 31.95732,57.52654 71.53168,36.7431 72.87837,37.58283 81.72469,-41.39608 84.27881))",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 207383436 records from 7647 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017660-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gj5gp6b494
title: MCNP output data analysis with ROOT (MODAR)

description: Abstract MCNP Output Data Analysis with ROOT (MODAR) is a tool based on CERN's ROOT software. MODAR has been designed to handle time-energy data issued by MCNP simulations of neutron inspection devices using the associated particle technique. MODAR exploits ROOT's Graphical User Interface and functionalities to visualize and process MCNP simulation results in a fast and user-friendly way. MODAR allows to take into account the detection system time resolution (which is not possible with MCNP) as well a... Title of program: MODAR Catalogue Id: AEGA_v1_1 Nature of problem The output of a MCNP simulation is an ascii file. The data processing is usually performed by copying and pasting the relevant parts of the ascii file into Microsoft Excel. Such an approach is satisfactory when the quantity of data is small but is not efficient when the size of the simulated data is large, for example when time-energy correlations are studied in detail such as in problems involving the associated particle technique. In addition, since the finite time resolution of the simulated ... Versions of this program held in the CPC repository in Mendeley Data AEGA_v1_0; MODAR; 10.1016/j.cpc.2010.02.016 AEGA_v1_1; MODAR; 10.1016/j.cpc.2010.08.028 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/ph5bshx89v
title: Dataset - seasonal variability of carbonate chemistry in the Arctic Chukchi Sea shelf

description: This dataset describes the seasonal variability of carbonate chemistry in the Arctic Chukchi Sea shelf in 2008, 2010, 2014, 2016, and 2018. The dataset includes cruise number, sampling year, station, longitude, latitude, depth, temperature, salinity, dissolved inorganic carbon, total alkalinity, and calculated pH and aragonite saturation state.
DOI: 10.17632/sgbmzxr5my
title: Medical Eponyms

description: Database of medical eponyms from Whonamedit and Mosby's Medical Dictionary, 10th edition. A web scraper was used to find associated photos and biographical information of the namesakes of the eponyms. From there, two graders determined the race and gender of each namesake.
DOI: 10.6084/m9.figshare.3552096.v1
title: Appendix A. Discussion on large-sample theory, derivation of variances of response ratios from factorial designs, raw data used in examples, and variance-covariance matrices used to estimate the covariance between two response ratios.

description: Discussion on large-sample theory, derivation of variances of response ratios from factorial designs, raw data used in examples, and variance-covariance matrices used to estimate the covariance between two response ratios.
DOI: 10.17632/2vkgrbsy8j
title: Data for: Quantitative comparison of the predictions of fracture toughness temperature dependence by ASTM E1921 master curve and stress distribution T-scaling methods

description: Table A2 Data set used for training Table A3 Data set used for testing
DOI: 10.6084/m9.figshare.22691107.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24077970.v1
title: Self_medication

description: Factors related to self-medication
DOI: 10.6084/m9.figshare.24223906.v1
title: Meteorological data (2017-2021).xlsx

description: Meteorological data (2017-2021)
DOI: 10.6084/m9.figshare.29117462.v1
title: Data for the article, "Fermi-Energy-Sensitive Universal Conductance Fluctuations in Anisotropic Materials"

description: Data for the article, "Fermi-Energy-Sensitive Universal Conductance Fluctuations in Anisotropic Materials"
DOI: 10.17632/2sjt22sb55
title: Dataset for twitter Sentiment Analysis using Roberta and Vader

description: Our dataset comprises 1000 tweets, which were taken from Twitter using the Python programming language. The dataset was stored in a CSV file and generated using various modules. The random module was used to generate random IDs and text, while the faker module was used to generate random user names and dates. Additionally, the textblob module was used to assign a random sentiment to each tweet.

This systematic approach ensures that the dataset is well-balanced and represents different types of tweets, user behavior, and sentiment. It is essential to have a balanced dataset to ensure that the analysis and visualization of the dataset are accurate and reliable. By generating tweets with a range of sentiments, we have created a diverse dataset that can be used to analyze and visualize sentiment trends and patterns.

In addition to generating the tweets, we have also prepared a visual representation of the data sets. This visualization provides an overview of the key features of the dataset, such as the frequency distribution of the different sentiment categories, the distribution of tweets over time, and the user names associated with the tweets. This visualization will aid in the initial exploration of the dataset and enable us to identify any patterns or trends that may be present.
DOI: 10.6084/m9.figshare.21787097.v1
title: DATA.xlsx

description: DATA_DOI:10.1002/ajb2.16217
DOI: 10.6084/m9.figshare.23507793.v1
title: Data Kinematic analysis of soccer goalkeeper’s diving save in penalty effect of instructional video and laterality on performance

description: The workingprepos and workingprocessados folder have the 3D coordinate files already processed, which were used to generate the results presented in the project. The working 3d folder is the 3D reconstructed data. The arquivoscalib folder has the data used for the 6 calibrations used in the collection. The password to access the files is: RMonteiro#2020148456
DOI: 10.6084/m9.figshare.6682721.v2
title: Chainer model file

description: The json file 'args' contains some settings used for training the model.The file 'model' is a chainer model file.<br>
DOI: 10.17045/sthlmuni.3207787.v1
title: Journal abbreviations from Web of Science

description: This is a list of all the journal abbreviations from Web of Science. It is not a perfect list, not least because of the numerous errors in the Web of Science list. However, it was quite a fast way of getting most of the nearly 90 000 journal titles and abbreviations into jabref, and could be useful for other bibliographic systems and/or doing it manually. <br><br>This was created using R (the only "programming language" i know), extracting the abbreviations from the web of science lists (https://images.webofknowledge.com/WOKRS520B4.1/help/WOS/A_abrvjt.html). <br><br>Feel free to help with improvements!<br><br>Files:<br><br><b>wos_abbrev_table.csv</b> - Table with full names and abbreviations, with and without dots in abbreviations.<br><br><b>jabref_wos_abbrev.txt</b> - Abbreviation table in Jabref format<br><b><br>jabref_wos_abbrev_dots.txt</b> - Abbreviation table in Jabref format, with dots.<br><br><b>wos_abbrev_code.R</b> - R code used to create the list. Thanks to Daniel Graeber (dgr@bios.au.dk) for inspiration and guidance regarding the addition of dots to abbreviated journal names. <br><br><br><br><br>
DOI: 10.17632/4pnd65dpnh
title: Data for: Panel Dataset of Ethical Commitment Disclosures in Malaysia

description: Datasets of ethical commitment disclosure. Data collected from annual reports of 1115 companies listed in Bursa Malaysia in five years (2012 - 2016) or 223 companies per year
DOI: 10.17632/nkrdnj4tf3
title: Research Project: Technological Innovation Adopted by Rural Producers and Sustainable Development in Agribusiness - Systematic Review and Meta-analysis

description: Abstract: Background: Technological advances in the most diverse areas and the reflection of the 4th industrial revolution in all areas of work and production beyond industry culminated in what is being named Agriculture 4.0. Being a wide range of technologies, both in equipment, machines, software and concepts that change the scenario both downstream and upstream in the ways in which products and inputs are produced and sold in agribusiness. Therefore, it is essential to carry out a survey on how technological innovation impacts production, results and its contribution to sustainable development. Theme: In this sense, the research focused on answering the following question: What technological innovations have rural producers adopted, how does this impact their business and what is the contribution to sustainable development? Given the importance of new technologies in the scenario of agriculture 4.0 and sustainable development, the research is justified. Objective: In this sense, the general objective was to answer: What types of technological innovation have rural producers inserted in their business? Also fixing the hypothesis to be tested: H0: Technological innovations adopted by rural producers contribute to Sustainable Development. / H1: Technological innovations adopted by rural producers do not contribute to Sustainable Development. Methods: The methodology adopted for the development of the research is of a basic nature as an exploratory theoretical essay with a qualitative and quantitative approach through a Systematic Review of the Literature for a survey structured by a formal protocol of the state of the art. Using StArt Software for reading and managing the Study Selection and Extraction process. And, descriptive and analytical in terms of reporting the findings and Meta-analysis of the results using Minitab and Iramuteq software for statistical evaluations and meta-analytical graphing. Expectation of Results: Aiming thus, results with relevant information in the construction of useful knowledge to the scientific development, researchers and to the producers, as for the technological innovation and contribution for the responsible social and environmental development. 
Keywords: Technological Innovation; New technologies; Agribusiness; Agriculture 4.0; Technological Agribusiness; Sustainable development.
DOI: 10.17632/vy5wv4t3zt
title: 3D-EUS-PAF: A 3D Endoanal Ultrasound Image Dataset for Assessment of Perianal Fistulas and Abscesses

description: 3D-EUS-PAF dataset includes 160 Three-dimensional endoanal ultrasound images related to 34 patients. This dataset can be used by artificial intelligence (machine learning and deep learning algorithms) for diagnosis, classification, localization and segmentation of 7 classes that are available in the dataset:
1- Intersphincteric Fistula
2- Intersphincteric Abscess
3- Transsphincteric Fistula
4- Suprasphincteric Fistula
5- Perianal Fistula
6- Ischiorectal Abscess
7- Supralevator Abscess

It also can be used for training medical students, interns, residents, specialists, and fellowships (Colorectal surgery).
3D-EUS-PAF is gathered and organized by a team including a professor of gastroenterology, an associate professor of colorectal surgery, a 3D-EUS specialist and a PhD, AI/ML Data scientist.
DOI: 10.6084/m9.figshare.25488967.v1
title: green finance dataset volatility - Copy.xlsx

description: the data present the prices and returns of the following variables described below:<b>Table 1. Description of variables</b>AbbreviationNameDescriptionSourceGBGreen Bond IndexS&P Green Bond IndexRefinitiv EikonCEClean Energy IndexS&P Global Clean Energy IndexRefinitiv EikonCOALCoal FutureICE Europe - Rotterdam Coal FutureRefinitiv EikonOILCrude Oil FutureICE Europe - Brent Crude FutureRefinitiv EikonGASNatural Gas FutureICE Europe - UK NBP Natural Gas FutureRefinitiv Eikon<br>
DOI: 10.17632/924gz5795p
title: δ65Cu isotopic fractionation in coral tissue: A biomarker of holobiont photophysiology following volcanic ash exposure (Original data)

description: This original data contains the results of physiological measurements (photosynhtetic parameters, photosynthesis and respiration rates) on individual Stylophora pistillata coral nubbins, and chemical analysis results of the minor and trace element composition, including Fe, Cu and Zn isotopic composition of coral tissue, its symbionts, and of unaltered and pristine volcanic ash.
DOI: 10.17632/b592cvw3c4
title: GHW: A simulation code for gyrofluid Hasegawa-Wakatani plasma turbulence

description: GHW is a gyrofluid code for computation of quasi-two-dimensional turbulence with consistent finite Larmor radius (FLR) effects in magnetized plasmas. The simulation setup allows for fundamental studies of FLR effects on isothermal resistive drift waves and turbulence, and contains the standard Hasegawa-Wakatani model in the limit of cold ions.