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Deaths and work related occupational injuries detailed at the country, gender, and NACE Rev.2 sector levels from 2008 to 2019
<p>Ensuring social data's reliability is essential in accurately evaluating social and economic impacts across geographical locations, economic sectors and stakeholder categories. Yet, the MRIO model utilized in our research (EXIOBASE) was hindered by out-of-date or significantly proxy fatality statistics, causing potential inaccuracies in our findings. We have comprehensively revised EXIOBASE fatality data to address this shortcoming, incorporating detailed, nation-specific, and up-to-date data. The update includes work-related fatal occupational injuries as well as fatalities associated with occupational exposure to a variety of 17 hazardous substances and conditions such as asbestos, arsenic, benzene, beryllium, cadmium, chromium, diesel engine exhaust, formaldehyde, nickel, polycyclic aromatic hydrocarbons, silica, sulfuric acid, trichloroethylene, asthmagens, particulate matter, gases and fumes, noise and ergonomic factors. Our methodological process is built on three pillars: data acquisition, raw data processing, and computation of fatal injuries by country, gender, year, and EXIOBASE economic sector.</p> <p>Data were sourced from the World Health Organization (WHO) (Pega et al., 2021) and Eurostat databases (Publications Office of the European Union, 2013). The WHO data was carefully screened based on specific criteria such as age above 15 years, gender, and fatal injuries only. Eurostat data provided granular information on work-related fatalities, classified by economic activities in the European Community (or NACE Rev.2 (Eurostat, 2008)). The WHO provided aggregate fatality data for 2010 and 2016. The strategy for allocating these deaths across Eurostat categories depended on the countries' geographical location, with different methods applied to European and non-European nations.</p> <p>For European nations, fluctuations in fatality numbers within a NACE Rev.2 sector mirrored the changes registered by Eurostat. For non-European countries, fatality figures were proportionally allocated across economic sectors split according to the NACE Rev.2 classification, reflecting the workforce size associated with each economic sector. Due to the scarcity of data for nations within Asia, America, or Africa, we adopted a regional approach, computing fatality ratios over each NACE Rev.2 category for each region by integrating data for available countries over a reference year. For 2010 and 2016, the aggregate fatality figures for nations within these three zones were established. Due to the temporal proximity of both reference years, we postulated a linear trend in the fatality count between these two years. The number of fatalities for a specific country, year, and per NACE Rev.2 activity was then calculated by applying the previously mentioned fatality ratio to the total number of deaths for that nation. Last, we applied the European annual ratios to their total mortality figures for the few countries that could not be classified as European or belonging to one of the aforementioned zones.</p> <p>The result is a comprehensive database that includes the number of fatalities (expressed in the number of deaths for work-related fatal occupational injuries and in Disability-adjusted life years (DALYs), for fatalities associated with occupational exposure to a specific risk factor), detailed at the country, gender, and NACE Rev.2 sector levels from 2008 to 2019, providing insights into work-related fatal injuries across different health effects and geographical regions.</p> <p> </p> <p><strong>Nomenclature</strong></p> <p>Archives:</p> <ul> <li><em>Concordance_ISIC_Exiobase.xlsx : </em>Concordance between the International Standard Industrial Classification (ISIC) and the exiobase sectors</li> <li><em>Concordance_ISO3_EXIO3.xlsx - </em>Concordance between the ISO3 code and the Exiobase regions</li> <li><em>Workforce_by_ISO3.csv - </em>Number of active persons per Country (ISO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)</li> <li><em>Workforce_by_EXIO3.csv - </em>Number of active persons per Exiobase region (EXIO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)</li> <li><em>Death_ISO3.csv - </em>Number of death per Country (ISO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li><em>Death_EXIO3.csv - </em>Number of death per Exiobase Region (EXIO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li><em>Death_EXIO3_region_exiobase_sector.csv - </em>Number of death per Exiobase Region (EXIO3 code), exiobase sector, Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li>Injuries_ISO3.zip - Archive of DALY per Country (ISO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)</li> <li>Injuries_EXIO3.zip - Archive of DALY per Exiobase Region (EXIO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)</li> <li><em>Workforce_EXIO3_sector_exiobase.xlsx - </em>Number of active persons per Exiobase region (EXIO3 code), per exiobase sector, Sex, Year (from 1991 to 2021).<br>This file is available here : Berthet, Etienne and Lavalley, Julien and Anquetil-Deck, Candy and Ballesteros, Fernanda and Stadler, Konstantin and Soytas, Ugur and Hauschild, Michael and Laurent, Alexis, Assessing the Social and Environmental Impacts of Critical Mineral Supply Chains for the Energy Transition in Europe. Available at SSRN: <a href="https://ssrn.com/abstract=4610350" target="_blank" rel="noopener noreferrer">https://ssrn.com/abstract=4610350</a> or <a href="http://dx.doi.org/10.2139/ssrn.4610350" target="_blank" rel="noopener noreferrer">http://dx.doi.org/10.2139/ssrn.4610350</a> </li> </ul> <p><strong>Content of Injuries_*.zip:</strong></p> <ul> <li>arsenic_*.csv</li> <li>asbestos_*.csv</li> <li>asthmagens_*.csv</li> <li>benzene_*.csv</li> <li>beryllium_*.csv</li> <li>cadmium_*.csv</li> <li>chromium_*.csv</li> <li>diesel_*.csv</li> <li>ergonomic_*.csv</li> <li>formaldehyde_*.csv</li> <li>gases_*.csv</li> <li>nickel_*.csv</li> <li>noise_*.csv</li> <li>polycyclic_*.csv</li> <li>silica_*.csv</li> <li>sulfuric_*.csv</li> <li>trichloro_*.csv</li> </ul>
Rapid Review on Gender and Collaboration
<p>Dataset on search and filtering process of a rapid review on A Rapid Review of Gender Parity and Collaboration in Technology: Insights from the Past Decade (DOI: 10.48340/ecscw2024_ep10), presented at ECSCW 2024.<br><br></p>
FROGEE Gender Equality in Eastern Europe Survey Data
<p>This dataset provides a broad set of indicators on dimensions of gender inequality based on the FROGEE Gender Equality in Eastern Europe survey. Read more here: <a title="Original URL: https://freepolicybriefs.org/2020/01/01/frogee-gender-equality-survey/ Click to follow link." href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffreepolicybriefs.org%2F2020%2F01%2F01%2Ffrogee-gender-equality-survey%2F&data=05%7C02%7CMaria.Perrotta%40hhs.se%7C7d1b0dfc9b764afe2aaa08dc3d5e6fbf%7Cbb8ce15bd4e14149ad64662d32c03d02%7C0%7C0%7C638452723320440368%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=zabea8Z3pFdy1X38Pxm49brpb5KxmcvQeh68OVVqxgw%3D&reserved=0">https://freepolicybriefs.org/2020/01/01/frogee-gender-equality-survey/</a></p> <p>To request the data please fill in and send the Data Request Form to <a href="mailto:dau@hhs.se">maria.perrotta@hhs.se</a>.</p> <p>Suggested citation: FREE Network. (2024). FROGEE Gender Equality in Eastern Europe Survey Data [Data set]. Zenodo. <a title="Original URL: https://doi.org/10.5281/zenodo.10777928 Click to follow link." href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.10777928&data=05%7C02%7CMaria.Perrotta%40hhs.se%7C884d556be1604ff039d508dc3db193a6%7Cbb8ce15bd4e14149ad64662d32c03d02%7C0%7C0%7C638453080265282124%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=kiam9yypggNa0TV5vEmNIl5Z4vb3nzuMhWPzqjQk5%2BE%3D&reserved=0">https://doi.org/10.5281/zenodo.10777928</a></p>
Parental leave intentions, gender, and job discrimination
<p>This upload is connected to the article "Parental Leave Intentions, Gender, and Job Discrimination: Insights from a Swedish Field Experiment" published in LABOUR: Review of Labour Economics and Industrial Relations. </p> <p>The file "Data" contains the raw data and the file "Code" contains the Stata-code for reproducing all figures and tables in the article and the supporting information. Variable descriptions can be found in the supporting information as well as in the data and code files. </p> <p>The earlier version contains the same data but was named with an old preliminary title.</p>
Dargwa: Gender
<p>This lecture is part of the lecture series: Glottothèque: Languages of the Anatolia, Caucasus, Iran, Mesopotamia; grammatical snippets online (electronic resource). Bamberg, Cambridge, Göttingen, Moscow, Nicosia, Paris: LACIM network, at https://spw.unigoettingen.de/projects/lacim/, edited by Christiane Bulut, Anaïd Donabédian-Demopoulos, Geoffrey Haig, Geoffrey Khan, Pollet Samvelian, Stavros Skopeteas, Nina Sumbatova.</p>
Visual Gender Biases in Wikipedia: A Systematic Evaluation across the Ten MostSpoken Languages
<p>We collect a large dataset of Wikipedia biographies and their images, and make it publicly available for research use.</p> <p>Reference: Visual Gender Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken Languages, AAAI ICWSM 2022.</p>
Change in gender roles as a factor in gender participation and empowerment in the oil mining industry: A case of Lokichar, Turkana county, Kenya
<p><span>This paper analyses a study done by the authors of this paper on changes on gender role as a factor in <em>gender participation and empowerment in the oil mining industry; a case of Lokichar in Turkana County</em>. The paper centres on three null hypothesis tested.</span> <span>The studies target group was the active </span>labour<span> force aged between 15 to 64 years. Those who retired from work were also targeted. The data was collected from a sample of three hundred (300) respondents selected through systematic random and purposive sampling methods. Focus Group Discussions (FGD) and in-depth interviews were conducted to supplement the questionnaires given to the sampled respondents. Chi-square was used to test the hypotheses. Major findings indicate that there is a relationship between</span> equal hiring and equal opportunity for men <span>and women to work in mining activities; </span>there is relationship between involvement in oil mining activities and change in livelihood and there is no relationship between involvement in oil mining activities and equal opportunity for men and women to work in mining activities<span>. Key recommendation include gender mainstreaming in legal frameworks, policies, Bills and programs.</span></p>
Gender equality and hiring process in oil mining companies: A case of Lokichar in Turkana, Kenya
<p><span>This paper centers on the findings of a study done by the authors of this paper in 2019 titled <em>Change in Gender Roles as a Factor in Gender Participation and Empowerment in the Oil Mining Industry: A Case of Lokichar, Kenya</em>. One of the objectives; determining whether the oil mining companies promotes gender equity in Lokichar is explored. The null hypothesis testing on whether </span>there is no relationship between equal hiring and equal opportunity for men <span>and women to work in mining activities is discussed</span>. The data was collected from a sample of three hundred (300) respondents selected through systematic random and purposive sampling methods. The studies target group was the active labour force aged between 15 to 64 years. Those who retired from work were also targeted. Two levels of analysis were adopted: Univariate and Bivariate. Chi-square was used to test the hypotheses. Major finding indicates that there is a relationship between equal hiring and equal opportunity for men and women to work in mining activities. The paper recommends that issues like compensation, decision making, royalty sharing, power relations are well spelt in policies like the Mining Bill (2014) to ensure gender mainstreaming and no ambiguity in interpretation.</p>
Replication package for: Hours Constraints, Occupational Choice, and Gender: Evidence from Medical Residents
<p>This is the replication package for:</p> <p>Wasserman, Melanie (forthcoming) "Hours Constraints, Occupational Choice, and Gender: Evidence from Medical Residents" Review of Economic Studies</p> <p>It contains:</p> <ul> <li>README file</li> <li>do files to reproduce the main tables and figures</li> <li>data files for all reproducible analyses</li> <li>all reproducible results</li> </ul>
Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003). in Muridae
Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003).
Assessing user stories: the influence of template differences and gender-related problem-solving styles - Supplemental material
<p>Here we include the supplementary material that may be used as a replication package for the quasi-experiment reported in the paper "Assessing user stories: the influence of template differences and gender-related problem-solving styles", submitted to REJ Special Issue - RE 2021.</p>
Data for: Representation in sea turtle science: slow progress towards gender equity and globalization revealed from thirty years of symposium abstracts
<p>Sea turtles are a circumglobal taxon that receive considerable research attention, yet there is little information about the demographics of sea turtle researchers. To assess long-term trends in demographic, geographic, and institutional representation within the sea turtle community, we quantified information from 7041 abstracts presented at the International Sea Turtle Symposium (ISTS) between 1988–2018. The dataset from this study is presented here.</p>
Evolution of binary gender and geographic diversity in the editorial boards of Geochimica et Cosmochimica Acta and Chemical Geology
<p>Dataset from article</p> <p><strong>Evolution of diversity in the editorial boards of <em>Geochimica et Cosmochimica Acta </em>and <em>Chemical Geology</em> </strong></p> <p>by Pourret et al. published in European Science Editing</p>
Supplementary Material for "Do you think there is no gender inequality in Software Engineering?"
<p><strong>README</strong></p> <p>This repository contains supplementary materials for the paper titled "<em>Do you see what happens around you? Men's Perceptions of Gender Inequality in Software Engineering".</em></p> <p>The data in this repository originates from a survey conducted with men technology practitioners, focusing on their experiences within the industry and their perceptions of gender inequality within their teams and workplaces.</p> <p>The survey was administered using Microsoft Forms, allowing practitioners to respond to the questionnaire asynchronously, anonymously, and without supervision.</p> <p>The organization of this repository is as follows:</p> <ol> <li><code>Phase 1:</code> <ol> <li><em><code>charts.Rmd</code>:</em> This file contains R scripts used to generate the figures that present quantitative data in the manuscript.</li> <li><em><code>Q<strong>x</strong>.png</code></em>: These images are the figures generated by the <code>charts.Rmd</code> script.</li> <li><em><code>responses.csv</code></em>: This file contains complete and detailed responses to the questionnaire submitted by participants.</li> <li><em><code>responses_coding.xlsx</code></em>: Within this sheet, you will find the results of the coding process conducted using the Grounded Theory methodology.</li> <li><em><code>survey_questions_english.pdf</code></em>: This document contains a faithful translation of the questionnaire sent to the participants.</li> </ol> </li> <li>Phase 2 <ol> <li><em>brazilian_responses.csv: </em>focus group responses from brazilian participants.</li> <li><em>european_responses.csv:</em> focus group responses from european participants.</li> </ol> </li> </ol> <p> </p>
Data set for the study "Perception Disparity between Women and Men on the Gender Gap in STEM at a Spanish University"
<p>Database for the study "Perception" carried out in the project "Engineering with a gender perspective" financed by the Women's Institute of the Ministry of Equality of the Spanish Government, call for proposals PAC 2021 INMUJERES (reference number 37/7ACT/21).<br>An adaptation of the GENCE 2.0 questionnaire (DOI: 10.5281/zenodo.2550690) was used to collect the data. </p>
Exploring Gender Perspectives on Parenthood Experiences among Fathers and Mothers in the ICT Field
<p>This paper investigates the challenges encountered by mothers and fathers in the Information and Communication Technology (ICT) field regarding parenthood, with a focus on gender perspectives. A survey was conducted with practitioners in the ICT field to explore their perceptions of parenting challenges. Findings indicate that while male practitioners perceive the organizational culture as inclusive towards parents, most women do not share this perception. Mothers express insecurity about the impact of maternity leave on their careers and report receiving fewer job opportunities because they have children, whereas most fathers do not share these concerns. However, the majority of ICT practitioners who are parents report receiving support from their coworkers regarding their parental responsibilities. The analysis highlights common challenges faced by parents in the ICT industry, including balancing work and family responsibilities, workplace discrimination against women, and a lack of organizational support for parents. Nevertheless, there is a growing acknowledgment of the need for inclusive policies and mutual support to address these challenges.</p>
Gender labels for Spanish affiliated researchers
<p>Three test sets compiled using the Ranking of researchers in Spain and Spaniards abroad: https://www.webometrics.info/en/GoogleScholar/Spain.</p> <p> </p>
Gender Differences in Math Tests: The Role of Time Pressure
<p>Data and Code to replicate the empirical analysis in "Gender Differences in Math Tests: The Role fo Time Pressure"</p>
Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 1)
<p>All files in this depository contain Microsoft Academic Graph data (April 2018 Extract) used for "Undergraduate Gender Diversity and the Direction of Scientific Research" </p> <p>The attribution license of the Microsoft Academic Graph is <a href="https://opendatacommons.org/licenses/by/1-0/">ODC-BY</a></p> <p>Please cite the following paper in publications and reports using the Microsoft Academic Graph:</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p>All files are in the repository are original and are the full extract. However, PaperAbstractInvertedIndex.txt has been split into 9 parts because the original file is 137GB, which exceeds the upload limit of Zenodo. PaperAbstractInvertedIndex_3.txt to PaperAbstractInvertedIndex_9.txt are available in a separate repository (Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 2) DOI=10.5281/zenodo.11388912). </p> <p>To replicate the results in "Undergraduate Gender Diversity and the Direction of Scientific Research", please decompress all files (except for the PaperAbstractInvertedIndex files) and place all files in "data/raw/MAG/". The associated code repository can be found AEA Data and Code Repository openicpsr-204361.</p> <p> </p> <ul> <li>Affiliations.txt <ul> <li>Description Type</li> <li>Affiliation ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count </li> </ul> </li> <li>Authors.txt <ul> <li>Author ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Last known affiliation ID</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudy.txt <ul> <li>Field of study ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Level</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudyChildren.txt <ul> <li>Field of study ID</li> <li>Child field of study ID </li> </ul> </li> <li>Journals.txt <ul> <li>Journal ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count </li> </ul> </li> <li>Papers.txt <ul> <li>Paper ID</li> <li>Rank</li> <li>Doi</li> <li>Doc type</li> <li>Paper title</li> <li>Original title</li> <li>Book title</li> <li>Year</li> <li>Date</li> <li>Publisher</li> <li>Journal ID </li> <li>Conference Series ID</li> <li>Conference instance ID</li> <li>Volume</li> <li>Issue</li> <li>First page</li> <li>Last page </li> <li>Reference count</li> <li>Citation count</li> <li>Estimated citation </li> </ul> </li> <li>PaperAbstractInvertedIndex.txt <ul> <li>Paper ID</li> <li>Abstract</li> </ul> </li> <li>PaperAuthorAffiliations.txt <ul> <li>Paper ID</li> <li>Author ID</li> <li>Affiliation ID</li> <li>Author sequence number </li> </ul> </li> <li>PaperFieldsOfStudy.txt <ul> <li>Paper ID</li> <li>Field of study ID</li> <li>Similarity</li> </ul> </li> <li>PaperReferences.txt <ul> <li>Paper ID</li> <li>Paper reference ID <br><br></li> </ul> </li> </ul>
Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 2)
<p>All files except for "MTI.zip" in this depository are Microsoft Academic Graph data (April 2018 Extract) used for "Undergraduate Gender Diversity and the Direction of Scientific Research" </p> <p>The attribution license of the Microsoft Academic Graph is <a href="https://opendatacommons.org/licenses/by/1-0/">ODC-BY</a></p> <p>Please cite the following paper in publications and reports using the Microsoft Academic Graph:</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p>PaperAbstractInvertedIndex.txt has been split into 9 parts because the original file is 137GB, which exceeds the upload limit of Zenodo. PaperAbstractInvertedIndex_3.txt to PaperAbstractInvertedIndex_9.txt are available in this repository. See Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 1) DOI=10.5281/zenodo.11388912 for remaining data.</p> <p>MTI.zip contains output from Medical Text Indexer. Specifically, the National Library of Medicine offers an online tool, Medical Text Indexer (MTI) (https://lhncbc.nlm.nih.gov/ii/tools/MTI.html), to provide indexing recommendations based on the Medical Subject Headings (MeSH) vocabulary. Specifically, we uploaded to the first 2500 characters of the title and abstract of all papers in our sample in batch mode (Accessed in October 2021). A copy of the output of the MTI is provided as part of this archive "papers_coed_for_MTI_1_output.txt.zip", "papers_coed_for_MTI_2_output.txt.zip", "papers_coed_for_MTI_3_output.txt.zip"</p> <p>To replicate the results in "Undergraduate Gender Diversity and the Direction of Scientific Research", do <strong>not</strong> decompress the PaperAbstractInvertedIndex files and MTI files. Place the PaperAbstractInvertedIndex files in the "data/raw/MAG" directory and place the MTI files in the "data/raw/MTI" directory. The associated code repository can be found at AEA Data and Code Repository (openicpsr-204361).</p> <p> </p> <ul> <li>Affiliations.txt <ul> <li>Description Type</li> <li>Affiliation ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count </li> </ul> </li> <li>Authors.txt <ul> <li>Author ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Last known affiliation ID</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudy.txt <ul> <li>Field of study ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Level</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudyChildren.txt <ul> <li>Field of study ID</li> <li>Child field of study ID </li> </ul> </li> <li>Journals.txt <ul> <li>Journal ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count </li> </ul> </li> <li>Papers.txt <ul> <li>Paper ID</li> <li>Rank</li> <li>Doi</li> <li>Doc type</li> <li>Paper title</li> <li>Original title</li> <li>Book title</li> <li>Year</li> <li>Date</li> <li>Publisher</li> <li>Journal ID </li> <li>Conference Series ID</li> <li>Conference instance ID</li> <li>Volume</li> <li>Issue</li> <li>First page</li> <li>Last page </li> <li>Reference count</li> <li>Citation count</li> <li>Estimated citation </li> </ul> </li> <li>PaperAbstractInvertedIndex.txt <ul> <li>Paper ID</li> <li>Abstract</li> </ul> </li> <li>PaperAuthorAffiliations.txt <ul> <li>Paper ID</li> <li>Author ID</li> <li>Affiliation ID</li> <li>Author sequence number </li> </ul> </li> <li>PaperFieldsOfStudy.txt <ul> <li>Paper ID</li> <li>Field of study ID</li> <li>Similarity</li> </ul> </li> <li>PaperReferences.txt <ul> <li>Paper ID</li> <li>Paper reference ID <br><br></li> </ul> </li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.