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226 results for “equity”
Data for: Home security cameras as a tool for behavior observations and science equity
<p class="MsoNormal">Reliably capturing transient animal behavior in the field and laboratory remains a logistical and financial challenge, especially for small ectotherms. Here, we present a camera system that is affordable, accessible, and suitable to monitor small, cold-blooded animals historically overlooked by commercial camera traps, such as small amphibians. The system is weather-resistant, can operate offline or online, and allows collection of time-sensitive behavioral data in laboratory and field conditions with continuous data storage for up to four weeks. The lightweight camera can also utilize phone notifications over Wi-Fi so that observers can be alerted when animals enter a space of interest, enabling sample collection at proper time periods. We present our findings, both technological and scientific, in an effort to elevate tools that enable researchers to maximize use of their research budgets. We discuss the relative affordability of our system for researchers in South America, which is home to the largest population of ectotherm diversity.</p>
Datasets for "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences"
<p>Datasets supporting "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences." These files provide summary data on submissions to AGU journals between 2018 and 2022. They also include decision data for manuscripts submitted to AGU journals with a decision made between 2018 and 2021. Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy</p>
Pilot Testing of an Equity Focused and Trauma-informed Communication Intervention During Family-centered Rounds
ClinicalTrials.gov study NCT05618652. IPD Sharing: NO. Countries: 1. Publications: 3.
Differential equity in access to public and private coastal infrastructure in the Southeastern United States
Open the record for dataset details and reuse information.
Data for: A path forward: creating an academic culture of justice, equity, diversity and inclusion
Open the record for dataset details and reuse information.
Data for: Home security cameras as a tool for behavior observations and science equity
Open the record for dataset details and reuse information.
OR2020 Equity and democratization of knowledge
<p>OR2020 virtual meeting recording – keynote, presentations and discussion: Equity and democratization of knowledge. Welcome from Sarah L. Shreeves, Chair, Open Repositories Steering Committee. Keynote Reframing the conversation: applying the principles of diversity, equity and inclusion to scholarly communications – Kathleen Shearer, Executive Director, Confederation of Open Access Repositories (COAR) (slides at http://doi.org/10.5281/zenodo.3872243) – and discussion. Shareyourpaper.org – Joseph McArthur, Open Access Button (slides at <a href="https://openaccessbutton.org/OR2020">https://openaccessbutton.org/OR2020</a>). A pilot on usage data exchange between LA Referencia (Latin America) and OpenAIRE (EU) networks – Lautaro Matas, LA Referencia, and Washington Luís Ribeiro de Carvalho Segundo, Instituto Brasileiro de Informação em Ciência e Tecnologia.</p>
Code and Dataset used for assessment of key variables in manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report".
<p>This repository contains the code used for extraction of data from the IPCC scenarios database for key variables that are assessed in the manuscript titled "Equity Assessment of Global Mitigation Pathways in the IPCC Sixth Assessment Report". It also contains data for key variables for scenario categories C1, C2, C3, and C4</p>
Interview with Peter Suber: Unlocking Knowledge for Social Equity (for International Open Access Week 2021)
<p>Interview with Peter Suber – Director of the Harvard Office for Scholarly Communication, Director of the Harvard Open Access Project, Senior Researcher at the Berkman Center for Internet & Society, and Professor of Philosophy Emeritus at Earlham College.</p> <p>In the view of many, Peter Suber has been a generous leader and guide not only among, but also to the brightest lights, clearest thinkers and most effective of collaborative practitioners in the Open Access to scholarly research movement - for at least the last two decades. In this wide ranging and timely interview for International Open Access Week 2021, Peter gives his expert, fact-based opinion on the origin, location and potential destination of various core elements of the Open Access movement and the scholarly communication system which it is so clearly shaping - now at speed.</p> <p>Interview topics covered include but are not limited to:</p> <ul> <li>A brief history of Open Access - Peter Suber’s Open Access story</li> <li>Open Access and its language defined</li> <li>Open Access highlights of the last "5,10 or 15" years: <ul> <li>Open Infrastructure <ul> <li>The Next Generation Repositories (NGR) project by the Coalition of Open Access Repositories (COAR) - over 4,000 institutional repositories in place to accelerate repository-based (Green) Open Access</li> </ul> </li> <li>Plan S and other big funders moves toward Open Access</li> <li>Transformative Agreements</li> <li>International responses to the Journal Impact Factor (JIF) <ul> <li>San Francisco DORA statement</li> <li>Leiden Manifesto</li> </ul> </li> <li>Controlled Digital Lending</li> </ul> </li> <li>Corporate capture of proprietary infrastructure and its scholarly content</li> <li>Structural equity – challenges and green shoots</li> <li>Open peer review</li> <li>The "perfect" Australian Open Access policy</li> </ul>
Assessing human well-being constructs with environmental and equity aspects: A review of the landscape
<p>Coded data for Betley et al. 2021. Assessing human well-being constructs with environmental and equity aspects: A review of the landscape. People and Nature. </p>
Data sets compiled for review article on Gender Equity in Oceanography
<p>Data sets compiled for a review paper on Gender Equity in Oceanography, to appear in Annual Review of Marine Science, 2023. Includes: Annual Reviews of Marine Science invited author gender statistics; China and USA oceanography career progression gender statistics; Current employment fractions of 2010-2019 physical oceanography PhDs; Gordon Research Conference Oceanography gender statistics; JGR oceans author and reviewer gender statistics; Oceanography faculty gender statistics for China; Oceanography graduate degree gender statistics for China; Oceanography magazine author gender data. </p>
Data for : Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin
<p>Freshwater biodiversity is declining, despite national and international efforts to manage and protect <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-ecosystem">freshwater ecosystems</a>. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ecological-balance">balance ecological</a> and societal needs. However, this raises the question of how social and ecological objectives can be included in an <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/integrated-management">integrated management</a> plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/evolutionarily-stable-strategy">ESS</a> supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/artificial-intelligence">Artificial Intelligence</a> for Ecosystem Services (ARIES) platform (with ESS supply defined as <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/carbon-sequestration">carbon storage</a> and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/purchasing-power-parity">purchasing power parity</a> (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems.</p>
Dataset Questionnaire Social Media Marketing Activities, Brand Loyalty, Brand Trust, Brand Equity, and Industry Fashion In Indonesia
<p>The following dataset is a dataset from a study that investigated Social Media Marketing Activities, Brand Loyalty, Brand Trust, and, Brand Equity in the context of fashion industry in Indonesia.</p>
A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia
<p>This is the dataset for the NCST project <em>"A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia"</em> by the Georgia Tech research team.</p> <p> </p> <p>Here is the abstract of the research: </p> <p>In this study, a modeling framework for population exposure to traffic-related PM2.5 with high spatiotemporal resolution is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis. The analyses retrieved trip data from the Atlanta Regional Commission’s (ARC) Activity-Based Model 2020 (ABM2020), after implementing path retention algorithms (Zhao, et al., 2019) to generate individual travel paths for more than 20 million predicted vehicle trips. Emission rates for each link were retrieved from MOVES-Matrix given the ABM link speed and facility type, the ARC’s county-level fleet composition data, and regional fuel properties and I&M program parameters. High-resolution downwind concentration profiles were predicted using EPA’s AERMOD microscale dispersion model with AERMET meteorology profiles for a huge array of receptors. Trip-end locations were derived from the ABM trip data, and the on-road trajectories for each person-trip (vehicle trace data) were derived from the travel paths through network. ABM synthetic household and person data were used in demographic assessment, and linked to representative household latitude and longitude locations in the Epsilon 2019 household demographic dataset. Individual exposure to traffic-related PM2.5 in time and space (average hourly concentration) was assessed by overlaying the second-by-second person location profiles (for 24 hours) against the hourly predicted PM2.5 concentration profiles. The analyses summarize the results across 16 demographic groups and the aggregate population exposure are compared to assess potential impact differences across demographics. High-income households in the corridor were exposed to less traffic-related air pollution as they tended to live further from the freeways. The analyses did not reveal large disproportionate negative impacts on low income groups along this specific corridor, but lager disproportionate negative impacts are expected elsewhere in the metro area due to the spatial clustering of income groups along other corridors. Overall, the research demonstrates the applicability of the modeling framework and describes how the various elements (e.g., link screening, dispersion modeling, path tracing, etc.) are optimized on the supercomputing cluster.</p>
THE EFFECT OF CURRENT RATIO, RETURN ON EQUITY, AND DEBT TO EQUITY RATIO ON STOCK RETURNS ON THE INDONESIA STOCK EXCHANGE
<p>This research examined the effect of the Current Ratio, Return on Equity, and Debt to Equity Ratio on Stock Returns in Kompas 100 Companies Listed on the Indonesia Stock Exchange in the 2015-2019 period. The sampling technique used in this study was purposive sampling. The samples obtained were 30 companies from 100 companies. The type of data used in this research is secondary data, and the method of analysis uses multiple linear regression analysis. Based on the data analysis done, the variable Return on Equity has a positive and significant effect on stock returns. The Current Ratio has a negative and insignificant effect on stock returns, and the Debt to Equity Ratio has a negative and insignificant effect on stock returns. The current ratio, return on equity, and debt to equity ratio simultaneously does not affect stock returns.</p>
Air Quality-Related Equity Implications of U.S. Decarbonization Policy
<p>This repo includes supporting material for the publication:</p> <p>Paul Picciano, Minghao Qiu, Sebastian Eastham, Mei Yuan, John Reilly, Noelle E. Selin. Air Quality-Related Equity Implications of U.S. Decarbonization Policy. <em>Nature Communications (2023).</em></p> <p>Please download and unzip the file <strong>"climate_policy_pollution_equity.zip"</strong>. Please see README below for a full description of the scripts and data included in this repo. </p> <p>For correspondence on the publication, please contact Noelle Selin selin@mit.edu.</p> <p>If you have questions about this data repo, please contact Minghao Qiu mhqiu@stanford.edu or Paul Picciano pauldpicciano@gmail.com</p> <p> </p> <p><strong>README</strong></p> <p>The materials in this repository allow users to reproduce the main results and figures of the paper. The analysis is performed using R (version 4.3.0). </p> <p><strong>-- Scripts:</strong></p> <ul> <li><strong><em>initial_setup.R</em>: </strong> Used to load R packages, set up file paths, variable names, and the functions used in other scripts. Please load this script first before running other scripts.</li> <li><strong><em>Figure1 - 5.R</em>: </strong> Used to generate figures 1 - 5 in the main paper. </li> <li><strong><em>optimization_scenarios.R: </em></strong><em>Used to generate the optimization scenarios and 5000 possible emission reduction scenarios that achieve the same level of CO2 reductions. The results generated by this script are then used to generate Figure 5.</em></li> </ul> <p> </p> <p><strong>-- Data:</strong></p> <ul> <li><strong><em>emission_aggregate_scenarios.csv</em>: </strong> Nationally-aggregated emissions of CO2 and non-CO2 species by different sectors under the three main emission scenarios (scenarios number 1 - 3 as labeled in the paper). The unit of CO2 emissions is billion metric tons. Units of non-CO2 emissions are million metric tons. Used to plot Figure 1.</li> <li><strong><em>InMAP_pm25_conc_scenarios.rds</em>: </strong> PM2.5 concentration for each InMAP grid cell due to emissions from each sector (and combined sectors) under different emission scenarios. InMAP simulates annual mean PM2.5 concentration (unit: μg/m3). Used to plot Figure 2.</li> <li><em><strong>US_shapefiles.RData</strong></em>: Shape files of US states. Used to plot Figure 2.</li> <li><em><strong>exposure_main_scenarios.csv: </strong></em>Population-weighted PM2.5 for each population group xxx under different scenarios (i.e. AvgExposure_xxx, units of exposure: μg/m3); disparities in population-weighted PM2.5 between each population group xxx and the total population (i.e. AvgDisparity_xxx, units of disparity: %). Used to plot Figures 3 and 4. Rows 2-4 correspond to the main scenarios (scenario numbers 1 - 3). Rows 5 - 16 correspond to the sensitivity scenarios (scenario number 4 as labeled in the paper).</li> <li><strong><em>source_emission_baseline_2030.rds: </em></strong>Emissions from each individual source as projected by the baseline 2030 scenario (scenario number 2). Used as input data for the optimization analysis.</li> <li><strong><em>source_emission_cap50_2030.rds: </em></strong>Emissions from each individual source as projected by the cap50% scenario (scenario number 3). Used as input data for the optimization analysis.</li> <li><strong><em>minority_exposure_by_sector.rds: </em></strong>Changes in population-weighted PM2.5 exposure and disparities for the racial/ethnic minority group between the cap50% scenario and baseline 2030 scenario. Used to plot Figure 5.</li> <li><em><strong>optimization_scenarios.rds: </strong></em>Population-weighted PM2.5 exposure and disparities for the racial/ethnic minority group under different optimization scenarios (scenarios number 5 -10). This file is generated by <strong><em>optimization_scenarios.R</em></strong> and further used to plot Figure 5.</li> <li><em><strong>cap50_nation_total_5000draws.rds: </strong></em>Population-weighted PM2.5 exposure and disparities for the racial/ethnic minority group under 5000 possible scenarios that achieve the same level of CO2 reductions without any constraints (i.e. the same as the "nation-total" scenario). This file is generated by <strong><em>optimization_scenarios.R</em></strong> and further used to plot Figure 5.</li> </ul> <ul> </ul> <p> </p>
Equity, community, and accountability: Leveraging a department-level climate survey as a tool for action
<p>Organizational climate is a key determinant of diverse aspects of success in work settings, including in academia. Power dynamics in higher education can result in inequitable experiences of workplace climate, potentially harming the well-being and productivity of employees. Quantifying experiences of climate across employment categories can help identify changes necessary to create a more equitable workplace for all. We developed and administered a climate survey within our academic workplace—the Department of Zoology and Physiology at the University of Wyoming—to evaluate experiences of climate across three employment categories: faculty, graduate students, and staff. Our survey included a combination of closed-response (e.g., Likert-scale) and open-ended questions. Most department members (82%) completed the survey, which was administered in fall 2021. Faculty generally reported more positive experiences than staff. Graduate students often fell between these two groups, though in some survey sections (e.g., mental health and well-being) students reported the most negative experiences of departmental climate. Three common themes emerged from the analysis of open-ended responses: equity, community, and accountability. We discuss how these themes correspond to concrete action items for improving our departmental climate, some of which have been implemented already, while others constitute future initiatives and/or require a collective push towards systemic change in academia. Finally, service work of this type often falls outside of job descriptions, requiring individuals to either work more or trade-off productivity in other areas that are formally evaluated. With the goal of minimizing this burden for others, we detail our process and provide the materials and framework necessary to streamline this process for other departments aiming to evaluate workplace climate as a key first step in building a positive work environment for all employees.</p>
Scaling up Maternal Health Equity Best Practices
ClinicalTrials.gov study NCT06541951. IPD Sharing: NO. Countries: 1. Publications: 1.
Understanding Quality and Equity in Wheelchairs for Veterans
ClinicalTrials.gov study NCT01236170. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Project Women's Insomnia Sleep Health Equity Study (WISHES)
ClinicalTrials.gov study NCT06348082. IPD Sharing: YES. Countries: 1. Publications: 1.
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.