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.
211
datasets available to search
ShareScore release 0.9.0
Dataset results
211 results for “LUCA”
Harmonized LUCAS dataset (ST_LUCAS)
<p>ST_LUCAS is a harmonized dataset derived from the LUCAS (Land Use and Coverage Area frame Survey) dataset. LUCAS is an Eurostat activity that has performed repeated in situ surveys over Europe every three years since 2006. Original LUCAS data (<a href="https://ec.europa.eu/eurostat/web/lucas/data">https://ec.europa.eu/eurostat/web/lucas/data</a>) starting with the 2006 survey were harmonized into common nomenclature based on the 2018 survey. ST_LUCAS dataset is provided in two versions:</p> <ul> <li> <p><em>lucas_points</em>: each LUCAS survey is represented by single record</p> </li> <li> <p><em>lucas_st_points</em>: each LUCAS point is represented by a single location calculated from multiple surveys and by a set of harmonized attributes for each survey year</p> </li> </ul> <p>Harmonization and space-aggregation of LUCAS data were performed by ST_LUCAS system available from <a href="https://geoforall.fsv.cvut.cz/st_lucas">https://geoforall.fsv.cvut.cz/st_lucas</a>. The methodology is described in <em>Landa, M.; Brodský, L.; Halounová, L.; Bouček, T.; Pešek, O. Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution. ISPRS Int. J. Geo-Inf. 2022, 11, 361. <a href="https://doi.org/10.3390/ijgi11070361">https://doi.org/10.3390/ijgi11070361</a>.</em></p> <p>List of harmonized LUCAS attributes: <a href="https://geoforall.fsv.cvut.cz/st_lucas/tables/list_of_attributes.html">https://geoforall.fsv.cvut.cz/st_lucas/tables/list_of_attributes.html</a></p> <p>ST_LUCAS dataset is provided under the same conditions (“free of charge”) as the original LUCAS data (<a href="https://ec.europa.eu/eurostat/web/lucas/data">https://ec.europa.eu/eurostat/web/lucas/data</a>).</p>
EVOLUÇÃO ESTELAR PTBR TRADUÇÃO LUCAS FERREIRA (UnB/MNPEF)
<p>Diagrama do ciclo de vida estelar de estrelas tipo Sol e massivas.<br>Crédito: <a href="https://imagine.gsfc.nasa.gov/science/objects/stars1.html">NASA e Night Sky Network</a>. Traduzido e adaptado por Lucas Ferreira (UnB/MNPEF).</p> <p> </p> <p>Material desenvolvido para o artigo (no prelo) "DOS LEDS AOS PULSARES: UM EXPERIMENTO INTERATIVO DE BAIXO CUSTO PARA O ENSINO DE ASTRONOMIA E ASTROFÍSICA NA ESCOLA" (FERREIRA, ANDRADE, LANGHI, 2024).</p>
European soil bulk density and organic carbon stock database using LUCAS Soil 2018
<p>We complied the European topsoil bulk density and organic carbon stock database (0-20 cm) using LUCAS Soil 2018. This database inlcudes 18,945 and 15,389 soil samples (0-20 cm) with bulk density in fine fraction (Bdfine) and soil organic cabron stock (SOCS) for the EU and UK using the best traditional pedotransfer function (T-PTF-4) and machine leanring based PTFs (Local-RFFRFS). It also contains the POINTID linked to LUCAS Soil 2018, coarse fragements in volume (coarse_vol) and coordinates (GPS_LAT, GPS_LONG). For more information, please refer to LUCAS 2018 TOPSOIL data (https://esdac.jrc.ec.europa.eu/content/lucas-2018-topsoil-data).</p> <p>This dataset is asscoated to the "European soil bulk density and organic carbon stock database using machine learning based pedotransfer function" by Chen et al. (2024).</p> <p>Manuscript citation: Chen, S., Chen, Z., Zhang, X., Luo, Z., Schillaci, C., Arrouays, D., Richer-de-Forges, A.C., Shi, Z. , 2024. European topsoil bulk density and organic carbon stock database (0-20 cm) using machine learning based pedotransfer functions. Earth System Science Data, 16, 2367–2383.</p> <p>When using the data, please cite repositories as well as the original manuscript.</p> <p>For any questions on the data, please contact Dr. Songchao Chen (chensongchao@zju.edu.cn).</p>
Datasets of De Luca & Donat (2023)
Open the record for dataset details and reuse information.
FOSS4G-IT 2021 - Workshop "Introduzione ai database geospaziali" (a cura di Enrico Ferreguti, Luca Lanteri e Rocco Pispico)
<p><strong>Workshop "Introduzione ai database geospaziali" a cura di Enrico Ferreguti, Luca Lanteri e Rocco Pispico</strong></p> <p>20 settembre 2021</p> <p>Usare le estensioni geospaziali del linguaggio SQL per condividere. analizzare, riassumere ed aggiornare i nostri dati geografici. Per seguire il workshop è sufficiente QGIS LTR e un browser.</p>
Dataset for Figure 2 in Zoccolotti, De Luca & Marinelli 2021 Brain Sciences_concept paper
<p>Dataset for Zoccolotti, P.; De Luca, M.; Marinelli, C.V. Interpreting Developmental Surface Dyslexia within a Comorbidity Perspective. Brain Sci. 2021, 11, 1568. https:// doi.org/10.3390/brainsci11121568</p> <p>Figure 2. Reading times (in s/word) in the reading of a list of 30 high-frequency words. Data (redrawn from [Pontillo, M.; De Luca, M.; Ellis, A.W.; Marinelli, C.V.; Spinelli, D.; Zoccolotti, P. Failure to learn a new format in developmental dyslexia. Sci. Rep. 2014, 4, 4869.]) refer to a cross-sectional study on a group of 1st to 8th grade typically developing children. Power functions indicate performance at the 10th, 30th, 50th, 70th, and 90th percentiles (curves from top to bottom). Vertical red bars mark the difference between the 90th and the 50th percentile foreach grade; note that the difference becomes quantitatively smaller at progressively higher grades (as indicated by shorter red bars). Horizontal blue bars link the performance corresponding to the 90th percentile with the corresponding performance at the level of the 50th percentile; this indicates the distance (in years) between the two levels of performance. Note that the distance (in years) increases at progressively higher grades (as indicated by longer blue bars).</p>
Data for: "Different dry-wet pulses favor different functional strategies: a test using tropical dry forest tree species" by Vega-Ramos, Flor, Cifuentes Gómez, Lucas, Pineda-García, Fernando, Dawson, Todd, Paz, Horacio
<p>These data represent those published in "Different dry-wet pulses favor different functional strategies: a test using tropical dry forest tree species" by Vega-Ramos, Flor, Cifuentes Gómez, Lucas, Pineda-García, Fernando, Dawson, Todd, Paz, Horacio</p>
Observation of the green hairy field spider Neoscona rufipalpis (Lucas, 1858) in South Africa (Araneae: Araneidae)
<p><em>Neoscona rufipalpis</em> (Lucas, 1858) was one of the Araneidae species sampled during the South African National Survey of Arachnida (SANSA). It is a species with a wide global distribution throughout the Afrotropical Region. Observations on their behaviour, colour variation and distribution are discussed.</p>
List of tabanid species collected by Lucas et al. (2020) analysed for Babesia spp.
<p>*The list of tabanids was reviewed and corrected in relation to that used by Rodrigues et al. (2022) in the study "Molecular detection of <em>Anaplasma marginale</em> Theiler (Rickettsiales: Anaplasmataceae) in horseflies (Diptera: Tabanidae) in Uruguay" <a href="https://doi.org/10.1038%2Fs41598-022-27067-0" target="_blank" rel="noopener noreferrer">10.1038/s41598-022-27067-0</a></p>
List of tabanid species collected by Lucas et al. (2020) analysed for Babesia spp.
<p>*The list of tabanids was reviewed and corrected in relation to that used by Rodrigues et al. (2022) in the study "Molecular detection of <em>Anaplasma marginale</em> Theiler (Rickettsiales: Anaplasmataceae) in horseflies (Diptera: Tabanidae) in Uruguay" <a href="https://doi.org/10.1038%2Fs41598-022-27067-0" target="_blank" rel="noopener noreferrer">10.1038/s41598-022-27067-0</a></p>
Fig. 5 in Los lepidópteros heteróceros de la rambla del Puente de la Quebrada y Cueva del Meadero (Almería, España) y algunos casos de foresia detectados sobre Agrotis boetica (Boisduval, [1837]), Agrotis lasserrei (Bugnion, 1837) y Eremochlaena orana (Lucas, 1894) por el pseudoescorpión Diplotemnus insolitus Chamberlin, 1933. (Lepidoptera: Noctuidae. Pseudoscorpiones: Atemnidae).
Fig. 5.- Biotopo de la zona 2 en la Cueva del Meadero.
Fig. 2 in First record of Silpha puncticollis Lucas, 1846 (Coleoptera¦ Silphidae, Silphinae) for North America.
Fig. 2.- Habitus of Silpha puncticollis Lucas, 1846 (♂).
Fig. 1 in First record of Laemostenus (Laemostenus) barbarus (Lucas, 1846) in Sardinia (Coleoptera: Carabidae, Harpalinae, Sphodrini)
Fig. 1 – Laemostenus barbarus (Lucas, 1846) from Sardinia, Bànari: habitus, male.
Fig. 1 in Short Communication Nuovi dati di Lygaeus creticus Lucas, 1854 in Italia e Corsica (Hemiptera: Heteroptera: Lygaeidae)
Fig. 1 - Esemplare di Lygaeus creticus (foto: Franziska Luthi).
Provenance of luca App development.
<p>Provenance documents in <a href="https://www.w3.org/Submission/prov-json/">PROV-JSON</a> format of the <a href="https://gitlab.com/lucaapp">luca App GitLab repositories</a>.</p> <p>Retrieved on June 22<sup>nd</sup>, 2021 using <a href="https://github.com/DLR-SC/gitlab2prov">GitLab2PROV</a> Version 0.5.</p> <p>Commands:</p> <pre><code class="language-bash">gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/web > lucaapp-web.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/ios > lucaapp-ios.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/web-crypto > lucaapp-web-crypto.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/android > lucaapp-android.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/security-overview > lucaapp-security-overview.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/badge-generator > lucaapp-badge-generator.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/cwa-event > lucaapp-cwa-event.json gitlab2prov -t <GitLab API-Key> -f json -r 1000 -p https://gitlab.com/lucaapp/fdroid-repository > lucaapp-fdroid-repository.json </code></pre>
Figure 2 in The first DNA barcodes for the Australian platypus tick Ixodes ornithorhynchi Lucas, 1846 (Acari: Ixodidae) to facilitate conservation efforts for a declining parasite and its host
Figure 2 Phylogenetic relationships ofIxodes ornithorhynchi at the COI locus with published refer-
Abb. 1 in Die Oleander-Ritterwanze Lygaeus creticus (Lucas, 1854) hat auch die Schweiz erreicht (Heteroptera, Lygaeidae)
Abb. 1. Kopula von Lygaeus creticus, Bellinzona (TI), 16. März 2019. (Foto Daniel Bolt)
Abb. 2 in Die Oleander-Ritterwanze Lygaeus creticus (Lucas, 1854) hat auch die Schweiz erreicht (Heteroptera, Lygaeidae)
Abb. 2. Fundort von Lygaeus creticus, Bellinzona (TI), 16. März 2019. (Foto Daniel Bolt)
Lucas-Czarnecki/Facebook_Canada2015: The 2015 Canadian Federal Election on Facebook
<p>This repository contains Facebook user data from the 2015 Canadian general election. Data consists of federal party leaders’ campaign messages (N = 1,711) and the responses to those messages from everyday Facebook users (n = 92,516).</p>
Luca 2
fila di stampa Source: Objaverse 1.0 / Sketchfab
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.