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.
4,481
datasets available to search
ShareScore release 0.9.0
Dataset results
4,481 results for “list”
Figure 2 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 2. Megaselia crassipes male (synonym of M. basiturgida). (A) Left face of hypopygium; (B) posterior face of front tibia and basitarsus. Scale bar: 0.1 mm.
Replication Package for the Paper: "A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions: A Study of the Hibernate Developer Mailing List"
<p>This is the replication package for the paper: "A Machine Learning Based Ensemble Method for Automatic Classification of Decisions: A Study of the Hibernate Developer Mailing List". It contains the source code and dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package below.</p> <p><strong>1. code folder</strong></p> <ul> <li><em>experiment.py </em>contains the source code for our experiment, which is conducted on Windows 10 and Python 3.7.0. <strong>Note that you may get slightly</strong> <strong>different experiment results when conducting the experiments on different environment configurations.</strong></li> <li><em>requirement.txt</em> records all the installation packages and their version numbers needed for the current program to run. You can use "<em>pip install -r requirement.txt</em>" to rebuild the project and install all dependencies. <strong>Note that you may get slightly different experiment results when using different packages or versions. </strong></li> </ul> <p><strong>2. dataset folder</strong></p> <ul> <li><em>decisions.xlsx </em>contains 844 labelled sentence-level decisions from the Hibernate developer mailing list.</li> </ul>
Supplementary material 2 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
This is the R-script and the output of the analyses
Supplementary material 1 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
This is the database produced during the research
Supplementary material 3 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
Complete ranking of the species
Alligator Reef Fishes species photographs 2020: updated version of Fishes of Alligator Reef & environs, Florida Keys, USA. Starck, Estapé & Estapé (2017) obtained 323 images of 318 fish species, now we add 33 additional photographs of species listed in 2017, plus 13 photographs of new records
<p><em>Alligator Reef Fishes species photographs 2020</em>: updated version of Fishes of Alligator Reef & environs, Florida Keys, USA. Starck, Estapé & Estapé (2017) obtained 323 images of 318 fish species, now we add 33 additional photographs of species listed in 2017, plus 13 photographs of new records since 2017, to make a total of 369 images of 364 fish species in the study area (all but 4 taken by Carlos Estapé and Allison Morgan Estapé). </p>
FIG. 7 in List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso
FIG. 7. — Photos of collection vouchers: three anuran species from Burkina Faso preserved in alcohol, dorsal view (left) and ventral view (right). A, Sclerophrys mauritanica (Schlegel, 1841); MNHN-RA-1989.4038; B, Hyperolius lamottei Laurent, 1958; MNHN-RA-1997.9889; C, Ptychadena mascareniensis (Guibé & Lamotte, 1953); MNHN-RA-1996.3916. Photos: A, C, Halamoussa Joëlle Ayoro; B, Annemarie Ohler.
FIG. 5 in List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso
FIG. 5. — Representatives of anuran species from Burkina Faso in life. A, Kassina fusca Schiøtz, 1967; B-C, Kassina senegalensis (Duméril & Bibron, 1841); D, Phrynomantis microps Peters, 1875; E, Phrynobatrachus francisci Boulenger, 1912; F, Phrynobatrachus latifrons Ahl, 1924. Photos: Halamoussa Joëlle Ayoro.
FIG. 1 in List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso
FIG. 1. — Map showing the position of Burkina Faso in Africa (inset figure), and the vegetation zones of Burkina Faso with all localities where amphibian specimens were collected. Source: BNDT (2002).
FIG. 4 in List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso
FIG. 4. — Representatives of anuran species from Burkina Faso in life. A, Hemisus marmoratus (Peters, 1854); B, Afrixalus vittiger (Peters, 1876) C, Afrixalus weidholzi (Mertens, 1938); D, Hyperolius concolor concolor (Hallowell, 1844); E, Hyperolius nitidulus Peters, 1875; F, Kassina cassinoides (Boulenger, 1903). Photos: Halamoussa Joëlle Ayoro.
FIG. 3 in List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso
FIG. 3. — Representatives of anuran species from Burkina Faso in life. A-B, Arthroleptis poecilonotus Peters, 1863; C, Leptopelis bufonides Schiøtz, 1967; D, Leptopelis viridi (Günther, 1869); E, Sclerophrys maculata (Hallowell, 1854); F, Sclerophrys pentoni (Anderson, 1893). Photos: Halamoussa Joëlle Ayoro.
The list of vascular plants for the city of Toronto
<p>Urban areas have become epicenters for applied ecological and conservation research and policy. Yet, most urban areas have surprisingly little consolidated information about their biota, including species-at-risk and invasive species.</p> <p>I used multiple data sources to compile a list of vascular plants for the greater metropolitan Toronto region. This data not only includes taxonomic information, but also global and national status ranks, growth from, native status, threatened status, abundance estimates and year of first observation for non-indigenous species.</p> <p>The list includes 1937 taxa from 146 families, of which 822 are non-indigenous. The majority of native species were ranked as abundant and widespread both globally and provincially. However, non-indigenous species ranks were bimodal, likely to be either extremely restricted in the province, or very widespread.</p> <p>This database provides a robust list of plant taxa in Canada's largest city. It will inform global urban ecology analyses and local and regional management and policy.</p>
BIT List W-European Countries 1959-1989
<p>This is a course trial. The dataset contains all BITs negotiated by West-Germany, Switzerland, France, The Netherlands and the BLEU during the period 1959-1989, as well as selected provisions (FET, FPS, Expropriation, Umbrella clause, Arbitrary and/or discriminatory measures)</p>
Figure 4 from: Fenu G, Al-Rammahi HM, Mohammad MK, Perrino EV, Rosati L, Wagensommer RP, Orsenigo S (2020) Global and Regional IUCN Red List Assessments: 10. Italian Botanist 10: 73-81. https://doi.org/10.3897/italianbotanist.10.60022
Figure 4 Geographic range and distribution map of Vachellia gerrardii subsp. negevensis in Iraq. Subpopulations: 1 = Birkat Al-Talhat, 2–3 = Abu Talah stream (mid and terminal parts), and 4–5 = Weier stream (initial and terminal parts).
Figure 3 from: Fenu G, Al-Rammahi HM, Mohammad MK, Perrino EV, Rosati L, Wagensommer RP, Orsenigo S (2020) Global and Regional IUCN Red List Assessments: 10. Italian Botanist 10: 73-81. https://doi.org/10.3897/italianbotanist.10.60022
Figure 3 Vachellia gerrardii subsp. negevensis at Birkat Al-Talhat, Al-Najaf desert, Iraq. Photograph by Mohmmad K. Mohammad.
FIGURE 1 in Annotated list of island lady beetles from Chile (Coleoptera: Coccinellidae)
FIGURE 1. Geographic distribution of the examined territories
FIGURE 77 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE 77. Distributional elements of Muscidae found in Saudi Arabia.
FIGURE 2 in Freshwater fishes from Paraná State, Brazil: an annotated list, with comments on biogeographic patterns, threats, and future perspectives
FIGURE 2. Specific richness in freshwater fish species by orders in the Paraná State, Brazil.
List of the mRNA primers
<p>primer sequences for RT-PCR of human Interleukins-6, 8, CC chemokines 5, 17, 22 </p>
Data from: Diabetes mellitus and prediabetes on kidney transplant waiting list- prevalence, metabolic phenotyping and risk stratification approach
Background: Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification. Methods: All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped. Results: Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and -secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38-4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable. Conclusions: The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.
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.