Skip to main content
Powered by ShareScore

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.

32

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

32 results for “talent”

Learn how ShareScore rates datasets ↗
zenodo40/100

FIGURE 1a–e in Challenges for the future of taxonomy: talents, databases and knowledge growth

FIGURE 1a–e: Amphipod pictures from BOLD uploaded as reference with sequences. a) Hyperia Latreille in Desmarest, 1823 sequence (arrow) embedded in the BIN of Gammarus setosus Dementieva, 1931, at first glance a misidentification, but b) the uploaded photo of Hyperia sp. confirms the identification; most likely explanation is cross-contamination or tissue sample mix-up during handling; c) example of a too small photo of a specimen, which does not allow a confirmation of the identification, same applies for d) fragment of amphipod; e) six sequences of the same amphipod species sharing just two photos, these repeatedly used photos do not help to verify the identification.

opencc-by-4.0Jan 2020View details →
zenodo40/100

Data on the Digital Index (DiGiX), the E-Government Development Index (EGDI), and the Global Talent Competitiveness Index (GTCI)

<p>This dataset contains the measurement of the Digital Index (DiGiX), the E-Government Development Index (EGDI), and the Global Talent Competitiveness Index (GTCI) in 2022.</p> <p>&nbsp;</p> <p>References:</p> <p>The Global Talent Competitiveness Index 2023 report: https://www.insead.edu/system/files/2023-11/gtci-2023-report.pdf</p> <p>UN E-Government Knowledgebase: https://publicadministration.un.org/egovkb/Data-Center</p> <p>Camara, N., (2022), DiGiX 2022 Update: A Multidimensional Index of Digitization, https://www.bbvaresearch.com/wp-content/uploads/2022/06/DiGiX_2022_Update_A_Multidimensional_Index_of_Digitization.pdf</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Good Talent Media

<p><a href="https://goodtalent.com.au/">Good Talent Media </a>is a full-service Public Relations and Communication Agency. Whether you&#39;re a small business, non-profit, corporation or even a government agency, we can put together a full PR campaign that will help you achieve your goals. specialising in media coverage, media training, crisis media planning, social media, stakeholder engagement, digital campaigns, political lobbying and more. Book a consultation with our team today for more information.</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Elevating Youth Football Talent Management with Artificial Intelligence

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2024View details →
zenodo32/100

Presenting the Organizational Mentoring Model with the Talent Management Approach in the Ministry of Education

<p><span>This research, which was conducted to provide an organizational mentoring model with a talent management approach in the Ministry of Education and Culture, is an exploratory type considered developmental and practical in terms of its purpose. In terms of data collection, it is of mixed type (qualitative and quantitative); in terms of data collection, it is descriptive-survey type. The statistical population of this research in the qualitative part includes all experts in the field of public administration and administrative affairs and senior managers and human resources in the Ministry of Education, 20 of whom were selected by judgmental and purposeful sampling. In the quantitative part, experts working in the Ministry of Education, have been selected as a statistical sample using Cochran's formula, using stratified random method according to the volume. The measuring tool of the research in the qualitative part was a semi-structured interview and in the quantitative part, it was a standard questionnaire, which was used to measure the validity of the questionnaires using the form and content method and to determine its reliability, Cronbach's alpha was calculated, and its value was estimated to be 0.974. Data analysis was done in the qualitative part by phenomenological method and in the quantitative part by using SPSS26 and SMART PLS4 software. The research results in the qualitative part led to a structural model. The results in the quantitative part also showed that in the education department, organizational culture plays a mediating role in the relationship between managers' support, organization strategy, talent conflict management, succession planning with individual factors of talent management, and organizational factors of talent management.</span></p>

opencc-by-4.0Feb 2024View details →
ClinicalTrials.gov32/100

Identification of Sports Talents in Boxers

ClinicalTrials.gov study NCT06269848. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Discovering Adolescents' Talents and Life Projects as a Key Factor in Their Life Satisfaction

ClinicalTrials.gov study NCT06473155. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Targeting Aging and Promoting Longevity with Exogenous Nucleotides (TALENTs)

ClinicalTrials.gov study NCT05243108. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Impact of Tibial Run Off on Clinical Outcome of Endovascular Therapy in Femoropopliteal Lesions (TALENT Study)

ClinicalTrials.gov study NCT04675632. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Clinical Study of Abdominal Aortic Aneurysm Exclusion (TALENT Abdominal)

ClinicalTrials.gov study NCT00549432. IPD Sharing: Not stated. Countries: 1. Publications: 24.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Multivessel TALENT

ClinicalTrials.gov study NCT04390672. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

IDENTIFYING STUDENTS' TALENTS AND THEIR PEDAGOGICAL SKILLS IN TALENT DEVELOPMENT PLACE

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo28/100

Figure 3 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 3 - A Neighbor-joining tree calculated by BOLD for ITS2 DNA barcode sequences amplified directly from genomic DNA (labels include corresponding collector and GenBank number; see dx.doi.org/10.5883/DS-CRATMONO and Table 1 for details). Dashed lines indicate the sectional affinity of the sequences B The corresponding Neighbor-Net network for the cloned ITS2 sequences has three branches representing: (a) ribotypes from individuals of Crataegus monogyna, and from its hybrids with both Crataegus suksdorfii and Crataegus punctata; (b) ribotypes from individuals of Crataegus suksdorfii and Crataegus ×cogswellii; and (c) ribotypes from individuals of Crataegus punctata and Crataegus ×ninae-celottiae (Table 3). The numbers shown are the % bootstrap support for each of the three branches.

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 4 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 4 - Geographic distribution of Crataegus ×ninae-celottiae K.I. Chr. &amp; T.A. Dickinson nothosp. nov. and Crataegus monogyna in Ontario. Filled square, holotype of Crataegus ×ninae-celottiae; Crosses, TRT specimens of Crataegus ×ninae-celottiae; asterisks, Crataegus ×ninae-celottiae specimens cited by Wells and Phipps (1989); stars, specimens of Crataegus monogyna in MT, MTMG, QFA, TRT, and UBC. Crataegus punctata occurs throughout the region depicted (Phipps and Muniyamma 1980; this paper also maps additional records for Crataegus monogyna).

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 6 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 6 - Holotype of Crataegus ×ninae-celottiae K.I. Chr. &amp; T.A. Dickinson nothosp. nov. (♀Crataegus monogyna × ♂Crataegus punctata): TRT00002197, CANADA, Ontario, Peel R M, loc. ON22, Don Gould Park and E side of Erin Mills Parkway, 43°35'N, 79°40'W, abandoned fields with extensive hawthorn colonization, 2 Jun 1989, Dickinson D1492.

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 5 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 5 - Geographic distribution of Crataegus ×cogswellii K.I. Chr. &amp; T.A. Dickinson nothosp. nov. and its parental species in the Pacific Northwest. Filled square, holotype of Crataegus ×cogswellii; crosses, TRT specimens of Crataegus ×cogswellii; circles, diploid Crataegus suksdorfii; stars, Crataegus monogyna (specimens in OSC, TRT, UBC, and WTU).

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 7 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 7 - Holotype of Crataegus ×cogswellii K.I. Chr. &amp; T.A. Dickinson nothosp. nov. (♀Crataegus suksdorfii × ♂Crataegus monogyna): TRT00002574, U.S.A., Oregon, Linn Co., Cogswell-Foster Preserve, 44.333082°N, 123.122547°W, 3 Sep 2009, Dickinson &amp; Dickinson 2009-40.

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 2 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 2 - A Principal components analysis of 39 Fourier amplitudes for 86 subterminal short shoot leaves from 20 Crataegus individuals at the Cogswell-Foster Preserve in Linn Co., Oregon (one Crataegus suksdorfii (s), seven Crataegus monogyna (m), and 12 putative hybrids (h), Crataegus ×cogswellii). Leaf outlines illustrate the shape contrasts responsible for the ordination: in grey, six subterminal leaves from short shoots of a single individual (OR1–8) B Principal components analysis of 39 Fourier amplitudes averaged for leaves sampled regardless of position on short shoots of 64 herbarium specimens from the Cogswell-Foster Preserve and (circled points) other locations in the Pacific Northwest (Table 1). In both A and B the two PCA axes shown are significant according to the broken-stick criterion (Frontier 1976). In B arrowed point 1 represents the single individual of Crataegus suksdorfii for which individual leaves are represented in A, while arrowed point 2 represents the averaged data for the six leaves of Crataegus monogyna shown in grey in A.

opencc-by-4.0Apr 2014View details →
zenodo28/100

Figure 1 from: Dickinson T, Christensen K, Zarrei M, Kuzmina M, Talent N, Lin C (2014) Crataegus ×ninae-celottiae and C. ×cogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies. PhytoKeys 36: 1-26. https://doi.org/10.3897/phytokeys.36.6784

Figure 1 - Principal components analysis biplot for five morphometric descriptors averaged for each of 41 Crataegus herbarium specimens from the Cogswell-Foster Preserve and other locations in the Pacific Northwest (Crataegus suksdorfii (s), Crataegus monogyna (m), and the putative hybrid, Crataegus ×cogswellii (h)): relX, leaf length above the widest point, scaled by the width; relZ, leaf length below the widest point, scaled by the width; invDI, inverse dissection index = 2(Aπ)1/2/P, where A is the leaf area and P is the leaf perimeter; STAM, number of stamens per flower; STYL, number of styles per flower. Both axes shown account for significant portions of the total variance according to the broken-stick criterion (Frontier 1976).

opencc-by-4.0Apr 2014View details →
ClinicalTrials.gov28/100

Post-Approval Trial of the Talent™ Abdominal Stent Graft to Treat Aortic Aneurysms

ClinicalTrials.gov study NCT00816062. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record