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”
THE CAUCASUS ECONOMIC AND SOCIAL ANALYSIS JOURNAL
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Supplementary material 2 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
Figure S2 : Explanation note: The impact magnitude of the 48 studied alien grasses across different habitats. The impact magnitudes on the x-axis are the least-square means of the impact scores as derived from a cumulative link mixed effects model. On the y-axis are the habitat types impacted by alien grasses and in brackets is the number of species with records in that habitat. The points represent the impact magnitudes and the error bars represent 95 % confidence intervals. Letters on the right side of the confidence intervals are level groupings indicating no significant differences among the habits. Comparisons are Tukey adjusted.
Supplementary material 1 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
Supplementary material 1 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE AND BIOLOGY SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
FIGURE 2 in Annotated checklist and illustrated key to braconid parasitoids (Hymenoptera, Braconidae) of economically important fruit flies (Diptera, Tephritidae) in Brazil
FIGURE 2. Fruit fly braconid parasitoids. Doryctobracon crawfordi (A); D. fluminensis (B); D. whartoni (C); Fopius arisanus (D); Opius bellus (E);Utetes anastrephae (F) (figures are not on the same scale).
FIGURE 1 in Annotated checklist and illustrated key to braconid parasitoids (Hymenoptera, Braconidae) of economically important fruit flies (Diptera, Tephritidae) in Brazil
FIGURE 1. Fruit fly braconid parasitoids. Asobara anastrephae (A); Microcrasis lonchaeae (B); Diachasmimorpha longicaudata (C); Doryctobracon adaimei (D); D. areolatus (E); D. brasiliensis (F) (figures are not on the same scale).
Dataset "How Does Education Quality Affect Economic Growth?"
<p>Dataset and do files used in "How Does Education Quality Affect Economic Growth?" paper.</p>
Data for the Economics curriculum of Data Carpentry
<p># dc-economics-data<br> Data for the Economics curriculum of Data Carpentry.</p> <p>## References<br> - CEPII, 2011. "GeoDist Database." Downloaded from http://www.cepii.fr/distance/dist_cepii.dta on 2019-06-05.<br> - Mayer, T. & Zignago, S. 2011. "Notes on CEPII’s distances measures: the GeoDist Database." CEPII Working Paper 2011-25. http://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=3877<br> - World Bank, 2019. "World Development Indicators 2018." Downloaded from https://datacatalog.worldbank.org/dataset/world-development-indicators on 2019-06-05.</p>
Fig. 9 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 9 Parsimony network (spring tree) for nuclear genomic C-mos haplotypes (numbered) of Pelodiscus. Shading of slices indicates mtDNA haplotypes (A–D). Frequencies of C-mos haplotypes: C-mos1 = 6; Cmos2 = 3; C-mos3 = 2; C-mos4 = 16; C-mos5 = 1; C-mos6 = 14; Cmos7 = 2. Greatest outgroup weight: C-mos3 (0.381). For further explanations, see Fig. 3, Table 2 and text
Fig. 2 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 2 Bayesian tree for mtDNA haplotypes of Pelodiscus based on concatenated sequences of all three mitochondrial fragments from present authors' samples (2,421 sites, mixed-model approach). Numbers above branches are Bayesian posterior probabilities; below
Fig. 5 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 5 Parsimony network (spring tree) for fragment 2 haplotypes (mtDNA: ND4 + tRNA-His, tRNA-Ser, tRNA-Leu) of Pelodiscus. Connection enforced. Haplotype frequencies: A = 8, B1 = 2, B3 = 12, C = 3, all other haplotypes n =1. Greatest outgroup weight: B2 (0.4). For further explanations, see Fig. 3 and text
Fig. 4 Bayesian tree for fragment 1 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 4 Bayesian tree for fragment 1 haplotypes (mtDNA: 12S rRNA) of Pelodiscus. For GenBank haplotypes, accession numbers shown. Dash indicates this branch not found by MP analysis. Sequences labelled as P. axenaria or P. sinensis by Chen et al. (2005) and by
Fig. 8 Bayesian tree for fragment 3 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 8 Bayesian tree for fragment 3 haplotypes (mtDNA: cyt b + tRNA-Thr) of Pelodiscus. For GenBank haplotypes, accession numbers shown. Sequences labelled as P. axenaria or P. sinensis by
Fig. 3 in The world's economically most important chelonians represent a diverse species complex (Testudines: Trionychidae: Pelodiscus)
Fig. 3 Parsimony network (spring tree) for fragment 1 haplotypes (mtDNA: 12S rRNA) of Pelodiscus. Gaps treated as fifth character state. Connection limit 95%. Symbol size corresponds to approximate haplotype frequency; missing node haplotypes, small solid circles. Each uncrossed line connecting haplotypes indicates one mutational step; where hashmarks across lines are present, each hashmark indicates one step. For GenBank sequences representing unique haplotypes (white), accession numbers shown; GenBank sequences AF043413 and AY687385 are identical with our fragment 1 haplotype B2 + B3 + B4. Haplotype frequencies: A = 8, B2 + B3 + B4 = 16, C = 3, D1 + D2 = 2, all other haplotypes n =1. Greatest outgroup weight: B2 + B3 + B4 (0.5757). Sequences labelled as P. axenaria or P. sinensis by Chen et al. (2005) and by Chen and Zhang (unpublished, in GenBank) indicated. Short GenBank sequences AY304497 and AY389697 excluded (see text)
Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506
<p>Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506 </p>
FIGURES 51–64. 51–53. Gracilaria usneoides. 51 in Marine red algae (Rhodophyta) of economic use in the algal drifts from the Yucatan Peninsula, Mexico
FIGURES 51–64. 51–53. Gracilaria usneoides. 51. Habit. Scale bar = 3 cm. 52. Medullary and cortical cells. Scale bar = 260 μm. 53. Mature cystocarp. Scale bar = 420 μm. 54–55. Gracilariopsis tenuifrons. 54. Habit. Scale bar = 4 cm. 55. Medullary and cortical cells. Scale bar = 170 μm. 56–58. Codiophyllum sp. 56. Habit. Scale bar = 4 cm. 57. Apices with small ligules. Scale bar = 5 cm. 58. Medullary filaments and cortical cells. Scale bar = 120 μm. 59–61. Halymenia pseudofloresii. 59. Habit. Scale bar = 4 cm. 60. Medullary filaments and cortical cells. Scale bar = 460 μm. 61. Tetrasporangium in cortex. Scale bar = 40 μm. 62–64. Botryocladia occidentalis. 62. Habit. Scale bar = 4 cm. 63. Medullary and cortical cells in cylindrical axes. Scale bar = 300 μm. 64. Medullary and cortical cells in globular branches. Scale bar = 150 μm.
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.