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.
1,610
datasets available to search
ShareScore release 0.9.0
Dataset results
1,610 results for “economic”
Replication data for Carleton et al. (Quarterly Journal of Economics, 2022), "Valuing the mortality consequences of climate change accounting for adaptation costs and benefits"
<p>This repository contains replication data for Carleton et al. (Quarterly Journal of Economics, 2022), "Valuing the mortality consequences of climate change accounting for adaptation costs and benefits". All non-confidential data inputs are included, as well as intermediate data outputs, final data outputs, and final tables and figures for all main text and supplementary tables and figures. Some input data are confidential (e.g., mortality records in some countries); therefore, intermediate regression results files are included in the upload to ensure all later stages of the analysis are fully replicable. The full data output files resulting from Monte Carlo simulations of future climate change impacts on mortality far exceed Zenodo file size limits; therefore, key aggregates of the raw output files are included here, which allow for replication of all tables and figures in the paper.</p> <ul> <li><strong>data.zip </strong>contains raw, intermediate, and final datasets</li> <li><strong>outputs.zip </strong>contains output tables and figures </li> </ul> <p>All replication code for the paper is available on a public Github repository, accessible <a href="https://github.com/ClimateImpactLab/carleton_mortality_2022">here</a>.<br><br>The manuscript and supplementary information are available at the QJE, <a href="https://doi.org/10.1093/qje/qjac020">here</a>.</p>
Economic potentials of district heating in Austria
<p>This dataset includes result data on assessing the economic potential of district heating potentials in Austria.</p> <p>Following elements are included:</p> <ul> <li>District_Heating_Grids.csv: Data on district heating grids in Austria by grid</li> <li>Industrial_waste_heat_potentials.csv: Data on industrial waste heat potentials in Austria for two different temperature levels (T1: >= 100°C, T2: < 100°C) by industrial site</li> <li>Power_Plants.csv: Data on thermal power plants and CHP plants in Austria by site</li> <li>Non_economic_dh_areas.csv: Share of district heating areas with higher costs for district heating than for the decentral heat supply mix; FP-financial perspective; EP-economic perspective</li> <li>Economic_DH-Pot.csv: Aggregated economic district heating potential compared to total space heating and hot water demand; FP-financial perspective; EP-economic perspective</li> <li>Heat_supply.csv: Aggregated economic heat supply by energy carrier year; FP-financial perspective; EP-economic perspective</li> <li>DH-Pot-Areas: spatial specification of the concrete district heating areas</li> <li>DH-Pot-AT_Readme.txt: Readme-file including</li> </ul>
Extracted opinions from the French National Great Debate (Grand Débat National) about transport and socio-economic description of municipalities participating to the debate
<p>This data set contains :</p> <p>- motifs_with_geom.json : extracted propositions from the answers to the online public consultation related to the French National Great Debate (Grand Débat National) which took place in 2019. The propositions consist of automatically extracted patterns. The propositions are related to transport. Extracted propositions are also georeferenced by postal codes and associated coordinates (WGS 84).</p> <p>- communes_with_all_data.geojson : socio-economic features which describes municipalities in France (mainland + overseas territories). These data are also georeferenced by postal codes and associated coordinates (WGS 84). data_geo.zip are the source files to build this file. The features are described in data_cadrage_meta.csv</p> <p>- motifsxcommunes_without_geom.csv : joined file of extracted propositions and socio-economic features of municipalities, without coordinates. These data are used to performed statistic analysis.</p> <p>- transportonto4.owl : ontology describing transport in French, used to extract propositions related to transport.</p>
DATASET: What is the best scale for implementing anaerobic digestion according to environmental and economic indicators?
<p>DATASET: What is the best scale for implementing anaerobic digestion according to environmental and economic indicators?</p> <p>Journal of Water Process Engineering, Volume 35, June 2020, 101235</p> <p>https://doi.org/10.1016/j.jwpe.2020.101235</p> <p> </p>
Data for Daudin, Frank & Rapoport « Can internal migration foster the convergence in regional fertility rates? Evidence from 19th century France », Economic Journal (2019), n°620, May, p.1618-1692.
<p>Data for Guillaume Daudin, Raphaël Franck and Hillel Rapoport « Can internal migration foster the convergence in regional fertility rates? Evidence from 19th century France » avec Raphaël Franck et Hillel Rapoport, Economic Journal (2019), n°620, May, p.1618-1692.</p> <p>Downloading the data will provide you with a .zip file.</p> <p>To understand what is going on, please refer to the paper, its git depository and especially this file : https://github.com/gdaudin/migrations/blob/master/R%C3%A9capitulatif%20des%20do%20-%20Migration.pdf</p> <p>All the migration "matrices" are in Stata format (.dta). They are presented as a list of directed pairs of departments (x gender (variable sexe) and x year (variable annee)).</p> <p>"Matrice_complete_1901+1911.dta" are the migration matrices in the source.<br>"Matrices_TRA_Recens.dta" are the main estimated migration matrices.</p>
Global Economic Limits of Groundwater used for Irrigation
<p>Input and output files of the analysis of the global economic limits of groundwater used for Irrigation</p>
The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities
<p>This dataset contains the final TEI/XML version of the two-volume printed work “<a href="https://nbn-resolving.de/urn:nbn:de:hebis:77-vcol-20056">The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities</a>” which was produced during the Second World War by the British Foreign Office and the Ministry of Economic Warfare.</p> <p>This file has been created by the DH Lab at the <a href="https://www.ieg-mainz.de/likecms.php?function=set_lang&lang=en">Leibniz Institute of European History</a> (Mainz) and <a href="https://textloop.de/">textloop</a>.</p> <p><a href="https://doi.org/10.5281/zenodo.6370214">Previous XML versions (without TEI).</a></p> <p> </p> <p> </p>
Economic impacts of melting of the Antarctic Ice Sheet
<p>Dataset supporting figures and tables in Dietz, Simon and Koninx, Felix (forthcoming), "Economic impacts of melting of the Antarctic Ice Sheet", Nature Communications</p>
Climate and economic projections for the Arctic
<p>Deliverable D8.3 of the Nunataryuk project</p>
Figure 2 in Economic injury level of date spider mite, Oligonychus afrasiaticus (Acari: Tetranychidae) on six commercial date cultivars
Figure 2. Regression between mite-day as an independent variable and fruits injury rate as a dependent variable in the different date cultivars studied in 2018.
Can Digital Currencies End Financial Exclusion in Indonesia? Economic Realities and Policy Ambitions
<p>Digitalisation is driving Indonesia’s economic development. The empowerment<br> of an efficient system of digital payments is a key underlying factor for the<br> establishment of an inclusive and well-developed digital economy. As a first<br> and fundamental step, the Bank of Indonesia launched the “National Cashless<br> Movement” (GNNT) in 2014. This vision was further advanced with the “Indonesia<br> Payment System Blueprint 2025” (IPS), which aimed at boosting digitalisation in<br> the banking industry through open banking and technology developments. As a<br> result, Indonesia’s digital economy and finance is recording remarkable upward<br> trends – such as an increase of 36.9 per cent in e-commerce and 52.6 per cent in<br> fintech lending transactions between 2020 and 2021. Similarly, cashless payments<br> are experiencing a spectacular growth. The usage of the Quick Response Indonesia<br> Standard (QRIS) system, which enhances cashless payment, has doubled. Credit<br> card transactions and e-money usage increased by 20 per cent and 51.6 per cent,<br> respectively, in the same two-year period.</p> <p>In this context of vibrant, quick transformations, a diverse ecosystem – which<br> comprises incumbent financial institutions, start-ups and technology companies<br> – is trying to advance Indonesia’s digital payments while targeting the goal of<br> financial inclusion. The rise of digital payment solutions indeed provides a unique<br> window of opportunity to tackle the current 92 million unbanked Indonesians<br> and 62 million small and medium-sized enterprises (SMEs) that are excluded from<br> the formal economy in Indonesia.</p>
FIGURE 6 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 6 | Species of the Gigantactinidae reported in this study: A. Gigantactis watermani, NPM 4424, 170 mm SL; B. Rhynchactis sp., NPM 4425, 113 mm SL. Scale bars = 10 mm.
FIGURE 2 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 2 | Records of the Ceratiidae, Diceratiidae and Himantolophidae in Brazilian waters: Ceratias uranoscopus (square), Ceratias holboelli (cross), Ceratias sp. (asterisk), Cryptopsaras couesii (diamond), Bufoceratias wedli (triangle), Himantolophus groenlandicus (pentagon), Himantolophus macroceras (circle), Himantolophus sp. (star). Full symbols represent specimens collected during the ABRACOS surveys and open symbols are records from the literature (see text). Selected Brazilian States and islands are: AP – Amapá, PA – Pará, RN – Rio Grande do Norte, BA – Bahia; SPA – Saint Peter and Saint Paul Archipelago, FN – Fernando de Noronha Archipelago, RA – Rocas Atoll. Dashed line represents the outer limit of the Brazilian Exclusive Economic Zone.
FIGURE 3 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 3 | Records of the Melanocetidae and Thaumatichthydae in Brazilian waters: Melanocetus johnsonii (circle), Melanocetus murrayi (triangle), Melanocetus sp. (star), Thaumatichthys binghami (diamond), Thaumatichthys sp. (square). Full symbols represent specimens collected during the ABRACOS surveys and open symbols are records from the literature (see text). Selected Brazilian States and islands are: RN – Rio Grande do Norte, PB – Paraíba, PE – Pernambuco; ES – Espírito Santo; SPA – Saint Peter and Saint Paul Archipelago, FN – Fernando de Noronha Archipelago, RA – Rocas Atoll, TR – Trindade Island. Dashed line represents the outer limit of the Brazilian Exclusive Economic Zone.
FIGURE 5 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 5 | Records of the Caulophrynidae, Gigantactinidae, and Linophrynidae in Brazilian waters: Caulophryne sp. (pentagon), Gigantactis longicirra (square), Gigantactis vanhoeffeni (cross), Gigantactis watermani (triangle), Gigantactis sp. (diamond), Rhynchactis sp. (star), Linophryne arborifera (circle). Full symbols represent specimens collected during the ABRACOS surveys and open symbols are records from the literature (see text). Selected Brazilian States and oceanic islands are RN – Rio Grande do Norte, BA – Bahia, ES – Espírito Santo, RJ – Rio de Janeiro; SPA – Saint Peter and Saint Paul Archipelago, FN – Fernando de Noronha Archipelago, RA – Rocas Atoll. Dashed line represents the outer limit of the Brazilian Exclusive Economic Zone.
FIGURE 1 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 1 | Species of the Ceratioidei reported in this study: A. Ceratias uranoscopus, NPM 5050, 76 mm SL; B. Himantolophus sp., NPM 4959, 37 mm SL; C. Melanocetus johnsonii, NPM 4970, 19 mm SL; D. Thaumatichthys sp., NPM 4985, 32 mm SL; E. Chaenophryne draco, NPM 4954, 90 mm SL; F. Chaenophryne ramifera, NPM 4955, 32 mm SL; G. Dolopichthys sp., NPM 4980, 35 mm SL; H. Oneirodes anisacanthus, NPM 4977, 30 mm SL; I. Oneirodes carlsbergi, NPM 4953, 98 mm SL; J. Caulophryne sp., NPM 3835, 6 mm SL. Scale bars = 10 mm.
FIGURE 4 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 4 | Records of the Oneirodidae in Brazilian waters: Chaenophryne draco (square), Chaenophryne ramifera (circle), Chaenophryne sp. (pentagon), Dolopichthys sp. (asterisk), Microlophichthys microlophus (upside-down triangle), Oneirodes anisacanthus (star), Oneirodes carlsbergi (triangle), Oneirodes notius (diamond), Pentherichthys atratus (cross). Full symbols represent specimens collected during the ABRACOS surveys and open symbols are records from the literature (see text). Selected Brazilian States and islands are: RN – Rio Grande do Norte, PB – Paraíba, PE – Pernambuco; ES – Espírito Santo, RS – Rio Grande do Sul; SPA – Saint Peter and Saint Paul Archipelago, FN – Fernando de Noronha Archipelago, RA – Rocas Atoll. Dashed line represents the outer limit of the Brazilian Exclusive Economic Zone.
FIGURE 7 in Deep-sea anglerfishes (Lophiiformes: Ceratioidei) from off northeastern Brazil, with remarks on the ceratioids reported from the Brazilian Exclusive Economic Zone
FIGURE 7 | Esca of Gigantactis watermani, NPM 4424, in left ventrolateral view. Arrows indicate the secondary branching of the left filament of the most distal pair of filaments (upper left) and the reduced base of the most proximal filament of the right side (lower right). Scale bar = 5 mm.
Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption.
Alloy Sustainability Database - Evaluating the Economic, Environmental, and Societal Impacts of High-Entropy Alloys
<p>This database encompasses 18 elements and details over 400 high entropy alloys (HEAs), Ni-based superalloys, and steels, providing an extensive review of their properties and capabilities. To assess the broader implications of these materials, we have developed nine indicators that evaluate their economic, environmental, and human health impacts. Each indicator is meticulously described, including the methods used for their calculation. This data has been compiled with the goal of integrating considerations of societal impact into the alloy design process, thereby promoting the development of materials that are not only innovative but also socially responsible.</p>
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.