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Dataset results
620 results for “sector”
An Overview of Cybersecurity in Zimbabwe's Financial Services Sector
<p>This data set captures the state of cybersecurity in the financial services sector in Zimbabwe. The study aims to assess the state of cybersecurity in a developing country to raise awareness and compliance and fight cybercrime. </p>
THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR
<p>The data contains financial information on the companies from the e-commerce industry worldwide over the period from 2017 to 2021 (panel data for 173 companies).<br> The list of variables:<br> 1. Current trading multiples (EV/GMV, EV/Revenue, EV/Gross Profit, EV/EBITDA, EV/EBIT)<br> 2. Control variables: Dummy_Dev (1 - developed country, 0 - developing country), Dummy_Ind (1 - primarily marketplace, 0 - primarily retail)<br> 3. Breakeven point (Dummy_GP, Dummy_EBITDA)<br> 4. Growth of financial indicators (GMV, Revenue, Gross Profit, EBITDA, EBIT)<br> 5. Gross Profit margin, EBITDA margin, EBIT margin<br> 6. Standard deviation of forecasted revenues (G_stdev)</p>
Accident rate per year in plumbing activity in construction sector in two companies in Colombia
<p>Dataset of 100 occupational accidents applied to the plumbing activity in two companies with 300 workers of the construction sector, were analyzed. The data were obtained of 2005 to 2022 year. The dataset is a accident database labor administered by Occupational Health and Safety coordinators and it use was approved by the two companies. The kind of occupational accident can be seen in Sheet2(2).</p>
Dataset on Public Proposals for Infrastructure, Social, and Economic Sectors Based on Participatory Planning
<p>The dataset was collected using data mining techniques. We logged in to e-Musrenbang website as City Admin and retrieved the public proposal data based on sectors, specifically infrastructure, social, and economic. We also selected the proposal budget to be added to the dataset. The dataset was downloaded in Excel with xlsx format.</p>
Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector. Energy Policy (2023). Supplementary Information on Assumptions and Results
<p>This dataset supplements the article with the title "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector", published in Energy Policy. </p> <p>The dataset contains the following:</p> <ul> <li>The Latin Hypercube Sample of the multipliers that are applied to the key input parameters of ETSAP-TIAM in order to generate 1000 different states of the world regarding economic and demographic growth, energy resources potentials, energy technology costs, climate sensitivity and radiative forcing, LULUCF CO<sub>2</sub> sink potential, CO<sub>2</sub> sequestration potential, and decoupling between energy consumption and economic development. The multipliers are sampled from the underlying probability distributions described in the article. </li> <li>The results (at the global scale) from four scenario families for each one of the 1000 wofld states. These scenario families are: <ul> <li>BASE_SSP2: Describes the development of the global energy system consistent with recent trends and policies.</li> <li>2C_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 2 °C as the maximum post-industrial temperature change from 2020 to 2100.</li> <li>2C_SSP2_DA30: Delayed climate action. The climate change mitigation policies of 2C_SSP2 start in 2030. </li> <li>1p5c_OS_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 1.5 °C as the maximum post-industrial temperature change from 2020 onwards to 2100</li> </ul> </li> </ul> <p>Key results included in the dataset are: Temperature change, Radiative Forcing, GHG concentrations, CO2 emissions, Marginal abatement cost, Electricity Supply Primary Energy Consumption, and Annual Total Global Energy System Cost.</p> <p>The dataset also includes sectoral results regarding energy consumption and use, such as shares of different electric uses, shares of hydrogen consumption in end-use sectors, hydrogen supply, Demand electrification by sector, Renewable energy consumption by sector, Alternative fuels consumption in transport, and Total final energy consumption by sector. </p>
The Moderating Effect of Employee Agility on the Link between Employee Vitality, Digital Literacy and Transformational Leadership with Job Performance: An Empirical Study of HR Practitioners in the Manufacturing Sector of Northern Malaysia.
<p>This is a dataset for a study that examines the effects of employee vitality, digital literacy, and transformational leadership on job performance. Additionally, it investigates the moderating role of employee agility in these relationships. Data were collected from HR practitioners in manufacturing companies in the northern region of Malaysia for analysis. The results indicate that the job performance of HR practitioners is positively influenced by employee vitality, digital literacy and transformational leadership. </p>
Pre-built Sector-coupled Euro-Calliope Model
<p><strong>Sector-coupled Euro-Calliope subnational-scale pre-built models</strong></p> <p>Built using <a href="https://github.com/calliope-project/sector-coupled-euro-calliope">Sector-Coupled Euro-Calliope workflow</a> commit hash: 6fd0bf3dce2a0799ac9821b50e9b1513fa783018</p> <p>This model is pre-packaged and ready to be loaded into Calliope, based on 2010 - 2018 input data. To run the model you will need to do the following:</p> <p>a. Install a specific conda environment to be working with the correct version of Calliope (<code>conda env create -f requirements.yml</code>)</p> <p>b. Include specific scenarios to pick up the relevant sectors. For the study accompanying this release, The following scenarios were included <code>"industry_fuel_shared,transport,heat,config_overrides,res_2h,gas_storage,link_cap_dynamic,freeze-hydro-capacities,add-biofuel"</code>, where:</p> <ul> <li> <p><code>industry_fuel_shared</code>: Includes all non-electrical industry demands and the necessary technologies to generate those fuels synthetically. This includes e.g. annual methanol requirements for the chemical industry. <code>shared</code> refers to the fact that all regions' annual demand is pooled and can be met across all regions. The other option is to set this to <code>industry_fuel_isolated</code>, where a region must meet its own annual demand by generation of fuel within the region.</p> </li> <li> <p><code>transport</code>: This ensures ICE and EV light and heavy vehicle technologies and annual demands are in the model. It also includes reference to constraints required to make smart-charging of EVs work (e.g. weekly demand requirements).</p> </li> <li> <p><code>heat</code>: This ensures that all heat provision technologies and hourly demands are in the model. Carriers added are <code>heat</code> (space heating and hot water) and <code>cooking</code>. Technologies added can be found in <code>heat-techs.yaml</code>.</p> </li> <li> <p><code>config_overrides</code>: This includes high-level simplifications, such as removal of technologies that are considered redundant (e.g. less interesting combined heat and power technologies).</p> </li> <li> <p><code>res_2h</code>: Sets the model with a 2h resolution. Can be omitted or can be one of <code>res_2h</code>, <code>res_3h</code>, <code>res_6h</code>, <code>res_12h</code>. The full hourly resolution model takes ~2 days to complete.</p> </li> <li> <p><code>gas_storage</code>: Includes underground methane storage facilities, based on latest data on a national level. Can be omitted to remove the option of this technology.</p> </li> <li> <p><code>link_cap_dynamic</code>: Sets a limit on transmission line capacities. The limits are chosen subjectively based on current capacity, such that lines with smaller current capacities can proportionally increase much more (e.g. 100x) than larger lines (e.g. 2x). See <code>national/links.yaml</code> for other override options to apply here.</p> </li> <li> <p><code>freeze-hydro-capacities</code>: Sets hydro capacities to equal "today's" capacities. This seems more reasonable than setting current capacities as upper limits, as this causes the model to install no hydro.</p> </li> <li> <p><code>add-biofuel</code>: Enables a biofuel supply stream with a distinct <code>biofuel</code> carrier, with annual limits on biofuel that can be provided (based on JRC residuals). This differs from Euro-Calliope v1.0 which is a black box technology converting biofuel to electricity directly.</p> </li> </ul> <p>c. decide on a SPORES run to undertake, e.g. the scenario <code>spores_supply</code> will run SPORES for primary energy supply technologies. SPORES scenarios can be found in the file <code>spores.yaml</code>.</p> <p>d. pick your run year, by pointing to the relevant model config file (e.g. <code>model-2018.yaml</code> for the 2018 weather year).</p> <p>e. run the model via the dedicated scripts found in this directory. These scripts include the addition of custom constraints and have been copied directly from the workflow, where they would normally be initiated as part of the internal process. However, you can load and run them in an interactive session / with your own python script to call them:</p> <p><code class="language-python">[1] import create_input </code></p> <p><code class="language-python">[2] create_input.build_model(path_to_model_yaml, scenarios_string, path_to_netcdf_of_model_inputs) </code></p> <p><code class="language-python">[3] import run </code></p> <p><code class="language-python">[4] run.run_model(path_to_netcdf_of_model_inputs, path_to_netcdf_of_results)</code></p> <p> </p> <p><code class="language-python">Note: The only difference between this version and v0.1 is that spurious hidden files specific to MacOS have been removed from the dataset.</code></p>
Circular Economy – current view by the Construction sector – analysis of published definitions.
<p>Data set (spreadsheet) for the article in the title.</p>
swu_dhe v1: Sectoral water use responses to droughts and heatwaves
<p>These datasets enables the assessment of sectoral water use responses during droughts, heatwaves and compound events at global, regional and local scales. File names contain the spatial scale of the analysis, water dimension, water sector and period of analysis. Datasets show the median percentile of a sectoral water use (i.e., irrigation, domestic, thermoelectric, manufacturing, livestock) during an extreme event and a normal (non-extreme event) period. Files are in comma-separated values (csv) format for easy reading.</p> <p>In addition, mid-step calculation results, such us identified droughts, heatwaves and compound events, are also included. File names contain the periods of evaluation and input datasets used. These resulting datasets are in NetCDF (nc) format, with a resolution of 30 arcmin (gridded) at a global scale and at a monthly time step. Moreover, input files on sectoral water demands at local and regional scales are also included.</p> <p>Datasets included here allow the reproducibility of the analysis of sectoral water use responses during drought, heatwaves and compound events. Scripts used can be found on GitHub (https://doi.org/10.5281/zenodo.8122407).</p>
Lagrangian trajectories tracking the origin and fate of a hydrothermal plume observed in the southeastern Pacific sector of the Southern Ocean
<p>A dataset of Lagrangian trajectories which were used to estimate the origin and fate of a hydrothermal plume in the southeastern Pacific sector of the Southern Ocean observed during the DY111 CUSTARD cruise. All variables have long names and units. These files have been used for the analysis in Birchill and Baker et al. ‘Pathways and timescales of Southern Ocean hydrothermal iron and manganese transport’ with further information about the methodology available in the paper. There are five forward-tracking experiments from suspected vent sites (CUSTARD_NEPR.nc, CUSTARD_SEPR.nc, CUSTARD_PAR.nc, CUSTARD_WCR.nc and CUSTARD_ECR.nc) included in the paper and one forward-tracking experiment that was not included in the paper (CUSTARD_EM.nc) as no trajectories crossed our sampling site. There was one backward-tracking experiment undertaken from the Ocean Observatories Initiative (OOI) station at which the hydrothermal signal was observed (CUSTARD_OOI_backward.nc).</p>
Data sets for "On the detection of a solar radio burst event that occurred on 28 August 2022 and its effect on GNSS signals as observed by ionospheric scintillation monitors distributed over the American sector" by Wright et al.
<p>Copy of data described in 'On the detection of a solar radio burst event that occurred on 28 August 2022 and its effect on GNSS signals as observed by ionospheric scintillation monitors distributed over the American sector' by Wright et. al and to appear in the Journal of Space Weather and Space Climate (JSWSC), 2023.</p><p> </p>
Model version, input data, results, and processing scripts for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways"
<p>Includes the files needed to run the scenarios, analyze the outputs, and produce the figures for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways." </p>
Old model (sector 1100-2016)
[Scientific Project](http://www.icac.cat/recerca/projectes-de-recerca/projecte/20942/) [Archaeological report 2016](https://www.researchgate.net/publication/311705780_Archaeological_report_-2016-_of_excavation_in_the_visigothic_settlement_of_Valencia_la_Vella_Riba-roja_del_Turia_Valencian_Country_Spain?_iepl%5BviewId%5D=XzB9abVr2fOR1kpvvnyc8cX4&_iepl%5Bcontexts%5D%5B0%5D=projectUpdatesLog&_iepl%5BtargetEntityId%5D=PB%3A311705780&_iepl%5BinteractionType%5D=publicationTitle) Source: Objaverse 1.0 / Sketchfab
Tailored Treatment of Insomnia in Social and Health Care Sector Shift Workers in Occupational Health Care
ClinicalTrials.gov study NCT06827626. IPD Sharing: NO. Countries: 1. Publications: 12.
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: TESTsmART Aim 2 - Kenya
ClinicalTrials.gov study NCT04428307. IPD Sharing: NO. Countries: 1. Publications: 3.
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: the TESTsmART Trial AIM 1
ClinicalTrials.gov study NCT03810014. IPD Sharing: NO. Countries: 1. Publications: 1.
Innovative Public-private Partnership to Target Subsidized Antimalarials in the Retail Sector (Aim 2)
ClinicalTrials.gov study NCT02461628. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: TESTsmART Aim 2 - Nigeria
ClinicalTrials.gov study NCT04428385. IPD Sharing: NO. Countries: 1. Publications: 1.
Sectoral coverage and prices of carbon pricing mechanisms introduced since 1990
Open the record for dataset details and reuse information.
Benthic and benthopelagic Ostracoda from a wide depth range (189-6224 m) in the Atlantic Sector of the Southern Ocean
Open the record for dataset details and reuse information.
ScienceDex guides
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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.