Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
620
datasets available to search
ShareScore release 0.9.0
Dataset results
620 results for “sector”
Sector-coupled model for the German energy system in 2019
<p>This repository contains input data for the open-source Python tool <a href="https://github.com/openego/eTraGo">eTraGo</a> (<strong>e</strong>lectricity <strong>Tra</strong>nsmission <strong>G</strong>rid <strong>o</strong>ptimization) version 0.10.0.<br>This data will be uploaded to the <a href="https://openenergy-platform.org/">OpenEnergy Platform</a> which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.</p> <p>The published data includes the sector-coupled transmission grid data for the scenario <em>status2019</em>. It was created with the open-source tool <a href="https://github.com/openego/powerd-data">powerd-data</a> within the research project <a href="https://h2-powerd.de/">PoWerD</a>. All input data sets as well as the code are available under open source licenses.</p> <p>We thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project PoWerD (grant number: 03EI1042C)</p> <p>The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:</p> <p><code>CREATE EXTENSION postgis;</code></p> <p>Afterwards, the data can be restored by using e.g. pgAdmin or via PostgreSQL's <a href="https://www.postgresql.org/docs/current/app-pgrestore.html">pg_restore</a> command (replace <code>HOST</code>, <code>DATABASE_NAME</code>, <code>PORT</code> and <code>USER</code> by your settings):</p> <p><code>pg_restore --host HOST --port PORT --username USER --no-password --dbname </code><code>DATABASE_NAME --no-owner --no-privileges --verbose "PoWerD_status2019_v3.backup"</code></p>
Multi-block questionnaire responses from office workers of banking sector
Open the record for dataset details and reuse information.
Comprehensive result data for a pathway for the German energy sector compatible with a 1.5°C carbon budget
<p>This data set covers the results of an energy scenario for Germany within a 1.5°C carbon budget. It represents all relevant results from an energ system modelling excersise, coupling two complementary models.</p> <p>The data set consists of two excel files</p> <ul> <li>Comprehensive results of the energy balance based Energy System Model (ESM) for the heat, transport and power sectors for Germany, disaggregated by consumption sectors (residential, service & commerce, industry, transport)</li> <li>Comprehensive results of the linear optimization energy system model REMix for power, heat and sector coupling</li> </ul> <p>Methodology, models and scenario assumption are detailed in:</p> <p>Simon, S., Xiao, M., Harpprecht, C., Pregger, T., Gardian, H., & Sasanpour, S. (submitted). A pathway for the German energy sector compatible with a 1.5°C carbon budget. <em>Sustainability</em>.</p>
Humpback whale song comparison for the Atlantic sector of the Southern Ocean
<p>The results of comparative song analyses between the ASSO and the Ecuadorian and Brazilian breeding populations and recordings from the Chilean, South African and Namibian migration routes revealed that individuals from at least three humpback whale breeding populations most likely migrate to shared feeding grounds in the ASSO. Humpback whales from different populations potentially mix at different times (i.e., years) at feeding hotspots of variable locations. </p>
Chapter 2 - Dynamic collapse and regrowth of the Antarctic Ice Sheet in the Weddell Sea Sector during the Middle Miocene: A novel multi-proxy sedimentary provenance approach using in-situ 87Rb/87Sr dating of detrital K-feldspar - Supplementary Materials
Open the record for dataset details and reuse information.
Fig. 2 in Lista preliminar de coleópteros (Insecta: Coleoptera) del sector "LA GredA", Buenos Aires, Morropón, Piura (Peṙ).
Fig. 2.- Algunos coleópteros del sector "LA GredA". a.- Tetracha carolina. b.- Omorgus suberosus. c.- Polycesta bicolor. d.- Psammetichus sp. e.- Calosoma abbreviatum. f.- Canthon baltheatus. g.- Canthon fuscipes. h.- Phanaeus lunaris (hembra). i.- Phanaeus lunaris (macho). j.- Phanaeus sp. La escala equivale a 1 cm. (Fotografías tomadas por los autores).
CO2 emission from energy, Manufacturing and Transport sector from Pakistan
<p>Pakistan's CO2 emission data from</p>
CONTENT ANALYSIS OF APPEALS RECEIVED AT THE VIRTUAL AND PUBLIC RECEPTION CENTRES OF THE PRESIDENT OF THE REPUBLIC OF UZBEKISTAN RELATED TO THE HEALTH SECTOR
Open the record for dataset details and reuse information.
STATISTICAL ASSESSMENT OF EFFICIENCY OF FARMS IN THE AGRICULTURAL SECTOR OF THE COUNTRY
Open the record for dataset details and reuse information.
THE ROLE OF THE AGRICULTURAL SECTOR IN ENSURING FOOD SECURITY
Open the record for dataset details and reuse information.
The Impact of Trade Barriers in Digital Services on Employment in the Service Sector: Empirical Evidence from China
Open the record for dataset details and reuse information.
Source code and data for Ou et al. 2021 (US state-level capacity expansion pathways with improved modeling of the power sector dynamics within a multisector model)
<p>For details, please check the "readme" file.</p>
Materialidades por estructuras y sectores excavados en El Shincal de Quimivil
<p>Base de datos con las materialidades recuperadas de excavaciones en las diferentes estructuras del sitio arqueológico El Shincal de Quimivil</p>
Compounding uncertainties in economic and population growth increase tail risks for relevant outcomes across sectors
<p>Understanding the long-term effects of population and GDP changes requires a multisectoral and regional understanding of the coupled human-Earth system, as the long-term evolution of this coupled system is influenced by human decisions and the Earth system. This study investigates the impact of compounding economic and population growth uncertainties on long-term multisectoral outcomes. We use the Global Change Analysis Model (GCAM) to explore the influence of compounding and feedback between future GDP and population growth on four key sectors: final energy consumption, water withdrawal, staple food prices, and CO2 emissions. The results show that uncertainties in GDP and population compound, resulting in a magnification of tail risks for outcomes across sectors and regions. Compounding uncertainties significantly impact metrics such as CO2 emissions and final energy consumption, particularly at the upper tail at both global and regional levels. However, the impact of staple food prices and water withdrawal depends on regional factors. Additionally, an alternative low-carbon transition scenario could compound uncertainties and increase tail risk, particularly in staple food prices, highlighting the influence of emergent constraints on land availability and food-energy competition for land use. The findings underscore the importance of considering and adequately accounting for compounding uncertainties in key drivers of multisectoral systems to enhance our comprehensive understanding of the complex nature of multisectoral systems. The paper provides valuable insights into the potential implications of compounding uncertainties.</p>
PyPSA-USA Sector Coupled Dataset
Open the record for dataset details and reuse information.
Figure 1. – Geographical coverage. A in The benthic and pelagic phases of Muraenolepis marmorata (Muraenolepididae) off the Kerguelen Plateau (Indian sector of the Southern Ocean)
Figure 1. – Geographical coverage. A: Bottom trawl stations conducted during the "POKER" 1 (2006 in white), POKER 2 (2010 in grey), and POKER 3 (2013 in black) surveys off the Kerguelen Islands; B: Bottom commercial longlines conducted from 2006 to 2016 off the Kerguelen Islands (source: PECHEKER database). Continuous line shows the boundary of the 200 Nautical Mille French Exclusive Eco- nomic Zone.
Figure 3 in The benthic and pelagic phases of Muraenolepis marmorata (Muraenolepididae) off the Kerguelen Plateau (Indian sector of the Southern Ocean)
Figure 3. – Densities (n/set) of Muraenolepis marmorata during the POKER surveys: POKER 1 2006 (top); POKER 2 2010 (bottom).
Effect of Social Accountability on Improving Service Delivery and Outcomes in the Public Sector in Uttar Pradesh, India
ClinicalTrials.gov study NCT02879708. IPD Sharing: YES. Countries: 1. Publications: 0.
Clinical Practice Intensity: Comparing Veterans Affairs (VA) to Private Sector Physicians
ClinicalTrials.gov study NCT00853918. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Assessing the Effect of Strengthening Referral of Sick Children From the Private Health Sector and Its Impact on Referral Uptake in Uganda.
ClinicalTrials.gov study NCT02450630. IPD Sharing: Not stated. Countries: 0. Publications: 2.
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.