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.
6,782
datasets available to search
ShareScore release 0.9.0
Dataset results
6,782 results for “project”
Figure 3 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
Figure 3 - number of field data (observations) in the 10 km × 10 km cells of the grid on 31 December 2016. Coordinates are expressed in metres, UTM WGS84 33N. Province abbreviations: AV = Avellino, BN = Benevento, CE = Caserta, NA = Naples, SA = Salerno.
Figure 2 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
Figure 2 - Richness of taxa based on literature data. The number includes hybrids but also species sensu lato. Coordinates are expressed in metres, UTM WGS84 33N. Province abbreviations: AV = Avellino, BN = Benevento, CE = Caserta, NA = Naples, SA = Salerno.
Figure 1 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
Figure 1 - Number of bibliographic records (citations) in the 10 km × 10 km cells of the grid on 31 December 2016. Coordinates are expressed in metres, UTM WGS84 33N. Province abbreviations: AV = Avellino, BN = Benevento, CE = Caserta, NA = Naples, SA = Salerno.
Figure 7 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
Figure 7 - Distribution of the localities of the observations (punctual type) inside (black circles) and outside (open circles) a 2 km buffer around the main roads (bands).
Figure 3 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure 3 - Comparison of image quality between the compact camera (A) and the professional setup (B) with the specimen occupying the same proportion of the frame. A detail is shown below. The compact camera was set up 5 cm from the specimen with the optical zoom at 1×, 29 images (narrow setting) were manually stacked. The professional setup outperforms the compact camera, producing a sharper image when specimens larger than a few centimetres are set to fill the frame optimally.
Figure 4 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure 4 - Images of different taxonomic groups, shot by the compact camera in manual mode (narrow setting). A large fruit-tree tortrix (Archips podana (Lepidoptera - Tortricidae)) B European paper wasp (Polistes dominula (Hymenoptera - Vespidae)), and C common earwig (Forficula auricularia (Dermaptera - Forficulidae)).
Figure 2 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure 2 - Visualization of the variation in image quality, level of detail and proportion of the specimen fitting the frame (insets) at different levels of optical magnification (1–4 times) and distance from the lens (11–5 cm). Every image, shot with the compact camera, is composed of 29 manually stacked images at the narrow setting and cropped to equal dimensions (approx. 1/24 of the original image). Quality and detail improve as lens distance decreases and/or the zoom increases at the cost of reduced depth of field and a smaller portion of the specimen fitting the image frame.
Figure 1 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure 1 - Comparison of the Elytrimitatrix digitized with the professional setup (A shot with the 60 mm macro lens and B with the Canon MP-E 65 mm lens), the compact camera's manual focus stacking mode (C) and internal stacking mode (D). A depicts the whole specimen as would be shot for publication purposes. The red box indicates the section shown in B, C, D and the blue box indicates how the specimen was framed in these three images. Note that the stronger reflections in C, D are the result of a different lighting setup.
Core competencies for construction project managers: A systematic literature review and insights from Singapore industry
Open the record for dataset details and reuse information.
A COMPARATIVE ANALYSIS OF BUSINESS PROJECT INVESTMENT TYPES
Open the record for dataset details and reuse information.
EDUCATION AND INTERDISCIPLINARY PROJECT: TEACHER'S PERFORMANCE
Open the record for dataset details and reuse information.
Slovak Supermodel M1 (SSM1) : Matej Bel University SKRIPTOR project datasets
<p><strong>Slovenský supermodel pre rukopisy M1 (SSM1)</strong></p> <p>24. apríla 2024 o 9:09 sme spustili Transkribus Expert v. 1.27.0 tvorbu novej súhrnnej slovenskej supermodelky. Podkladom pre vytvorenie supermodelu pre určité slovenské rukopisy boli čiastkové modely riešiteľov problémov v projekte Skriptor <br>Model má označenie <strong>ID63569 Slovak Supermodel M1 (SSM1). </strong><strong>Na vytvorenie modelu</strong> použitých 1359 stran v kvalite Ground Truth (GT); <strong>56713 riadkov a 333777 slov. Z toho 1224 strán na školenie (Train set) a 135 strán na overenie nového modelu (Validation set).</strong></p> <p>Podklady k tomuto vzoru sú v <strong>slovenskom, latinskom, maďarskom a českom jazyku. slovakizovaná čeština.</strong> Vstupné rukopisy mali rôznu kvalitu z hľadiska digitalizovaných. Niektoré digitalizované obrázky boli použité z digitálnych úložísk, zvyčajne v dobrej kvalite 600 dpi a niektoré boli výsledkom skenovania pomocou zariadenia ScanTent a softvéru DocScan v dostatočnej kvalite 300 dpi. Ukážky písiem dokumentov nájdete vo výskumnej štúdii Skriptor. </p> <p>Zdrojové datasety:</p> <table> <tbody> <tr> <td> <p>Typ</p> </td> <td> <p>Vlastník</p> </td> <td> <p>Model</p> </td> <td> <p>Názov modelu</p> </td> <td> <p>Počet strán GT</p> </td> <td> <p>Spolupráca</p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Bôbová Mária</p> </td> <td> <p>ID49629</p> </td> <td> <p>SKRIPTOR_library_catalog_29.9P</p> </td> <td> <p><strong>25</strong></p> <p>(22/3)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Katuščák Dušan</p> </td> <td> <p>ID63169</p> </td> <td> <p>SKRIPTOR_Slovak_hand</p> </td> <td> <p><strong>331</strong></p> <p>(300/31)</p> </td> <td> <p><em>Transkripcia</em>: K. Komorová, M. Bôbová, J. Kiss; <em>Dat.analýza</em>: E. Kowalská, I. Kollárová, T.Albert</p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Kunec Patrik</p> </td> <td> <p>ID60311</p> </td> <td> <p>BBBDA - Canonical visitation protocol, 1756 - 8th</p> </td> <td> <p> <strong>50</strong></p> <p>(43/7)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Kurhajcová Alica</p> </td> <td> <p>ID57344</p> </td> <td> <p>SKRIPTOR_Model J.M. Hurban</p> </td> <td> <p><strong>655</strong></p> <p>(590/65) </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Maliniak Pavol</p> </td> <td> <p>ID61347</p> </td> <td> <p>Abraham model 18</p> </td> <td> <p> <strong>90</strong></p> <p>(82/8)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Nagy Imrich</p> </td> <td> <p>ID60197</p> </td> <td> <p>SKRIPTOR_Catalog_Koháry_SABB</p> </td> <td> <p><strong>137 </strong></p> <p>(125/12)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Tomeček Oto</p> </td> <td> <p>ID59197</p> </td> <td> <p>Neolatin Metales 1820</p> </td> <td> <p> <strong>129</strong></p> <p>(117/12)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>M1</strong></p> </td> <td> <p><strong>All</strong></p> </td> <td> <p><strong>ID63569</strong></p> </td> <td> <p><strong>Slovak Supermodel M1 (SSM1)</strong></p> </td> <td> <p><strong> 1328</strong></p> <p><strong>(1359)</strong></p> </td> <td> <p><strong>Riešitelia APVV</strong></p> <p><strong>(rozdiel: rôzne parametre?)</strong></p> </td> </tr> </tbody> </table> <p><br>Samotné ukážky považujeme za veľmi dôležité pre ďalšie využitie a zdokonaľovanie modelu, keďže ďalší bádatelia získajú predstavu o podobnom alebo odlišnom písaní vlastných dokumentov, ktoré chcú prepisovať. <br><strong>Boli dosiahnuté hodnoty Train Set: 4,90 % a Validation Set: 5,30 %.</strong><br>Vytvorenie modelu SSM1 na serveri Transkribus trvalo dva dni, 5 hodín, 16 sekúnd, teda <strong>53 hodín a 58 minút.</strong> Proces tvorby bol ukončený po <strong>174 cykloch</strong> (epochách). <br>Model SSM1 je prvým pokusom na Slovensku o vytvorenie nástroja, prostredníctvom ktorého by bolo možné automaticky sprístupniť určité typy ručne písaných dokumentov, ktoré sa podobajú fontom používaným na ich tvorbu. <br><strong>ID63569 Slovak Supermodel M1 (SSM1)</strong> nemožno v žiadnom prípade považovať za definitívny univerzálny model na prepis historických rukopisov slovenskej proveniencie všetkých typov a období. Rozmanitosť písiem a štýlov rukopisu je nekonečná a vytvorenie optimálneho agregovaného modelu je výzvou pre ďalších výskumníkov a nadšencov v nasledujúcich rokoch. <br>Veríme však, že náš prvý agregovaný model SSM1 môže uľahčiť automatický prepis ďalších analogických rukopisov. <br>Riešiteľský tím plánuje sprístupniť datasety v rámci udržateľnosti projektu v rokoch 2024-2028 prednostne na výskumné a vzdelávacie účely pre inštitúcie a výskumníkov, ktorí chcú prispieť k vytvoreniu modelu historických rukopisov v západoslovanských jazykoch, respektíve jazyky slovenského a českého pôvodu. <strong>Copyright: CC BY-NC-SA.</strong><br>Samozrejme, takýto automatický prepis neprinesie okamžite uspokojivé výsledky. Môže však uľahčiť „hrubý“ automatický prepis ďalších stránok krok za krokom, ich ručnú opravu na stav GT a následné použitie väčších súborov údajov GT na spresnenie nového modelu založeného na našom SSM1. Po vytvorení ďalších stoviek a tisícok stránok GT bude možné pristúpiť k tvorbe ďalších generácií nových modelov založených na SSM1. Vývoj by mohol pokračovať pre rukopisy s modelmi nových generácií SSM2, SSM3 atď. Respektíve pre tlače a sadzbu (P-Print), ako sú supermodely SSP1, SSP2, SSP3 atď. (Google translate)</p> <p> </p>
Datasets for "Leveraging Machine Learning and Natural Language Processing Techniques for Agriculture Experiment Station Project Classification"
Open the record for dataset details and reuse information.
Final project
<p>Final Project Material</p>
Data for the publication "Evaluating the Wegener-Bergeron-Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project"
Open the record for dataset details and reuse information.
Automated Program Repair Term Project Cardumen Results Part 2
Open the record for dataset details and reuse information.
Uncertainties Inherent from Large-Scale Climate Projections in the Statistical Downscaling Projection of North Atlantic Tropical Cyclone Activity
Open the record for dataset details and reuse information.
European Projects funded under Data topics
<p>The data provides the collection of information of projects funded in Europe by the European Commission on the topic of Data between 2013 and 2023.</p> <p>The data schema is as follows:</p> <p>{<br> "title": "Project title",<br> "type": "object",<br> "properties": {<br> "rcn": {<br> "type": "string"<br> },<br> "id": {<br> "type": "string"<br> },<br> "acronym": {<br> "type": "string"<br> },<br> "teaser": {<br> "type": "string"<br> },<br> "objective": {<br> "type": "string"<br> },<br> "name": {<br> "type": "string"<br> },<br> "totalCostEuro": {<br> "type": "number"<br> },<br> "euContributionEuro": {<br> "type": "number"<br> },<br> "startDate": {<br> "type": "string"<br> },<br> "endDate": {<br> "type": "string"<br> },<br> "ecSignatureDate": {<br> "type": "string"<br> },<br> "duration": {<br> "type": "string"<br> },<br> "status": {<br> "type": "string"<br> },<br> "doi": {<br> "type": "string"<br> },<br> "keywords": {<br> "type": "string"<br> },<br> "scienceFields": {<br> "type": "array",<br> "items": {<br> "type": "array",<br> "items": {<br> "type": "string"<br> }<br> }<br> },<br> "callForProposals": {<br> "type": "string"<br> },<br> "programmesUrl": {<br> "type": "array",<br> "items": {<br> "type": "string"<br> }<br> },<br> "topicURLs": {<br> "type": "array",<br> "items": {<br> "type": "string"<br> }<br> },<br> "participants": {<br> "type": "array",<br> "items": {<br> "type": "object",<br> "properties": {<br> "rcn": {<br> "type": "string"<br> },<br> "legalName": {<br> "type": "string"<br> },<br> "role": {<br> "type": "string"<br> },<br> "ecContribution": {<br> "type": "number"<br> },<br> "netEcContribution": {<br> "type": "number"<br> },<br> "totalCost": {<br> "type": "number"<br> },<br> "order": {<br> "type": "string"<br> },<br> "sme": {<br> "type": "string"<br> },<br> "address": {<br> "type": "object",<br> "properties": {<br> "street": {<br> "type": "string"<br> },<br> "city": {<br> "type": "string"<br> },<br> "postalCode": {<br> "type": "string"<br> },<br> "country": {<br> "type": "string"<br> },<br> "geolocation": {<br> "type": "string"<br> },<br> "postBox": {<br> "type": "string"<br> },<br> "url": {<br> "type": "string"<br> }<br> },<br> "required": [<br> "street",<br> "city",<br> "postalCode",<br> "country",<br> "geolocation"<br> ]<br> },<br> "type": {<br> "type": "string"<br> }<br> },<br> "required": [<br> "rcn",<br> "legalName",<br> "role",<br> "ecContribution",<br> "netEcContribution",<br> "totalCost",<br> "order",<br> "sme",<br> "address",<br> "type"<br> ]<br> }<br> },<br> "projectDescriptionTitle": {<br> "type": "string"<br> },<br> "projectDescriptionText": {<br> "type": "string"<br> },<br> "foundedUnder": {<br> "type": "string"<br> },<br> "foundingScheme": {<br> "type": "string"<br> },<br> "image": {<br> "type": "string"<br> },<br> "url": {<br> "type": "string"<br> }<br> },<br> "required": [<br> "rcn",<br> "id",<br> "acronym",<br> "teaser",<br> "objective",<br> "name",<br> "totalCostEuro",<br> "euContributionEuro",<br> "startDate",<br> "endDate",<br> "ecSignatureDate",<br> "duration",<br> "status",<br> "doi",<br> "keywords",<br> "scienceFields",<br> "callForProposals",<br> "programmesUrl",<br> "topicURLs",<br> "participants",<br> "projectDescriptionTitle",<br> "projectDescriptionText",<br> "foundedUnder",<br> "foundingScheme",<br> "image",<br> "url"<br> ]<br>}</p>
Codes for "Projected Arctic shipping navigates year-round by 2100 with operational advantages along the Northern Sea Route"
Open the record for dataset details and reuse information.
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
<p><strong>Contacts:</strong></p> <p><strong>website:</strong> https://labsoft-ufmg.github.io/</p> <p><strong>email:</strong> henrique.mg.bh@gmail.com</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.