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.
19,493
datasets available to search
ShareScore release 0.9.0
Dataset results
19,493 results for “Populism”
14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: comparison with the PHQ-9 depression screening
<p>This dataset contains 14 days of ambulatory assessment (AA) depression symptoms and mood ratings with timestamps, a retrospective Patient Health Questionnaire (PHQ-9) assessment and the demographic variables age and gender.</p> <p>The AA was conducted with users of the mobile mental health / depression screening app "Moodpath". ICD-10 depression symptoms were assessed with the following questions:</p> <p>ICD-10 symptom 1: "depressed mood"<br> q1 = Are you feeling depressed?<br> q2 = Are you feeling hopeless?</p> <p>ICD-10 symptom 2: "loss of interest and enjoyment"<br> q3 = Do you feel like you are not interested in anything right now?<br> q4 = Do you have less pleasure in doing things you usually enjoy?</p> <p>ICD-10 symptom 3: "increased fatigability"<br> q5 = Do you currently have considerably less energy? <br> q6 = Are your everyday tasks making you very tired currently?</p> <p>ICD-10 symptom 4: "reduced concentration and attention"<br> q11 = Is it hard for you to make decisions currently? <br> q12 = Is it hard for you to concentrate currently?</p> <p>ICD-10 symptom 5: "reduced self-esteem and self-confidence"<br> q7 = Is your self-confidence clearly lower than usual?<br> q8 = Are you feeling up to your tasks? </p> <p>ICD-10 symptom 6: "ideas of guilt and unworthiness"<br> q9 = Are you blaming yourself currently? <br> q10 = Do you think you are worth less than others right now?</p> <p>ICD-10 symptom 7: "bleak and pessimistic views of the future"<br> q46 = Are you thinking that you will be doing well in the future? <br> q47 = Are you looking hopefully into the future?</p> <p>ICD-10 symptom 8: "ideas or acts of self-harm or suicide"<br> q16 = Are you thinking about death more often than usual? </p> <p>ICD-10 symptom 9: "disturbed sleep"<br> q13 = Did you sleep badly last night? </p> <p>ICD-10 symptom 10: "diminished appetite"<br> q14 = Do you have less or no appetite today? </p>
Dataset Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study
<p>This dataset is related to "Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study".</p> <p>Vanessa Kraege*, Janko Fabecic*, Pedro Marques Vidal, Gérard Waeber and Marie Méan</p> <p>*Contributed equally; co-first authors</p>
data for the PCI publication "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations"
<p><strong>Data analyzed int he article "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations", doi </strong> <a href="https://arxiv.org/abs/1902.10240v5">https://arxiv.org/abs/1902.10240v5</a> <strong> doi of the PCI recommandation: </strong>https://doi.org/10.24072/pci.evolbiol.100083</p>
РИС. 1. Карта района исследований с укаЗанием станций отбора проб (А) и плотности поселениЯ R. venosa (ЭкЗ./м²). FIG. 1. Map of the study area with indication the sampling sites and the population density (A) of R. venosa (specimens/m²). in Rapana venosa (Valenciennes, 1846) Залива ДонуЗлав и прилегаюЩей акватории Чёрного морЯ
РИС. 1. Карта района исследований с укаЗанием станций отбора проб (А) и плотности поселениЯ R. venosa (ЭкЗ./м²). FIG. 1. Map of the study area with indication the sampling sites and the population density (A) of R. venosa (specimens/m²).
Figure 6 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 6. Results of the Bayesian Analysis of Population Structure (BAPS) of the Necromys lasiurus Cytochrome b sequences compiled in the present study, showing the four genetic clades, which are color-coded. The vertical black lines separate the sample groups. Insert map shows the Brazilian biomes.
Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.
Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.
Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.
Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.
Figure 3 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil
Figure 3. Relative gene expression of the (A) acetylcholinesterase (ace-1), (B) α-esterase (CCEae3A), and (C) cytochrome P 450 (CYP6N12) genes in S. aegypti females. C1_R: Rockefeller control group (n=10); C2_Pr: Paranaguá control group (n=14); C3_Pr: Paranaguá solvent control group (n=10); T1: Paranaguá resistant females after exposure to malathion at a concentration of 3.41% (n=24). Data are presented as median ± interquartile range. Different letters indicate significant difference at p <0.05, according to Dunn's post hoc tests.
Figure 2 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 2. The demographic scenarios formulated for testing in the DIYABC Random Forest analysis. Pop1 = Arid Diagonal ecoregion (AD), Pop2 = Atlantic Forest ecoregion (AF), Pop3 = Atlantic Forest of Rio de Janeiro state (AF-RJ). The scenarios tested here were: (1) AD as the ancestral population of AF, which originates AF-RJ, (2) AD as the ancestral population, which mixes with AF before originating AF-RJ, (3) AF-RJ as the ancestral population, which mixes with AF before originating AD, (4) AD as the ancestral population of AF and AF-RJ, and (5) AD as the ancestral population, mixing with AF-RJ before originating AF.
Figure 3 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 3. Consensus phylogenetic tree produced by the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of the Cytochrome b sequences of Necromys lasiurus included in the present study. The clades are color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). The samples shaded green are from Atlantic Forest domain of Rio de Janeiro state. The circles at each branch represent the bootstrap values of the ML (left semi-circles) and the posterior probabilities of the BI (right semi-circles). In the left semi-circles, white indicates bootstrap values of 0.40–0.66, while gray represents values of 0.66–0.90, and black, values of over 0.90. In the right semi-circles, white indicates a posterior probability of less than 0.64, with gray representing posterior probabilities of 0.64–0.90, and black, values of over 0.90.
Figure 2 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil
Figure 2. Mortality curve showing the upper and lower limits for each concentration of malathion exposure for S. aegypti of the Rockefeller strain.
Figure 1 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil
Figure 1. (A) Location of the city of Paranaguá, and (B) location of ovitraps containing the eggs obtained during the June 2018 monitoring cycle in the city. Colors depict the representativeness of each point in the establishment of the S. aegypti insectary used to obtain the F and F generations.
Figure 1 in First Occurrence and Population Dynamics of Blissus pulchellus (Hemiptera: Blissidae) in Brazil: a new pest of pastures in Roraima
Figure 1 Area of Brachiaria brizantha cv.Marandu with damage of Blissus pulchellus (A), clump with symptoms of attack (B), adult (C), nymphs (D) and colonies (E), Roraima,Brazil.
Figure 4 in Geometric morphometrics of Aedes aegypti populations and study of transmission of arboviral diseases in Barreiras, Brazil
Figure 4 Graphical representation of wing shape comparison of different areas.(A) Diagrams of first canonical variable from the comparison (discriminant analysis) between A and B areas (considering the highway as a barrier). (B) Diagrams of first canonical variable from the comparison between A and C areas (considering the river as a barrier). (C) Diagrams of first canonical variable of the comparison between B and C areas (considering both, the highway and the river as barriers).
Figure 1 in Geometric morphometrics of Aedes aegypti populations and study of transmission of arboviral diseases in Barreiras, Brazil
Figure 1 Sampling strategy in the urban area of Barreiras, Bahia, Brazil. The city is crossed by the Federal BR-242 Highway and by the Rio Grande River. Collection areas A, B and C were defined according to anthropic (highway) and natural (river) barriers.
Figure 5 in Geometric morphometrics of Aedes aegypti populations and study of transmission of arboviral diseases in Barreiras, Brazil
Figure 5 Morphological space of 1st and 2nd canonical variates derived from wing shape comparison (discriminant analysis) among A, B and C areas. Contribution of each Canonical Variation is indicated between brackets. Red, blue and green dots represent populations of A, B and C areas, respectively.
Figs. 13–14 in Population dynamics and description of larva and pupa of Cyclocephala tucumana Bréthes, 1904 in West-Central Brazil, and remarks on immatures of other Cyclocephala species (Coleoptera: Scarabaeidae: Dynastinae)
Figs. 13–14. Cyclocephala tucumana, third-instar larva; 13, epipharynx; 14, cibarium, lateral. aca, anterior-most acanthoparia seta; acr, lateroposterior acroparia seta; crp, right part of crepis; lip, tubercle-like process of ligula; ppa, posterior preoral area. Scale = 0.5 mm.
Figs. 48–54 in Population dynamics and description of larva and pupa of Cyclocephala tucumana Bréthes, 1904 in West-Central Brazil, and remarks on immatures of other Cyclocephala species (Coleoptera: Scarabaeidae: Dynastinae)
Figs. 48–54. Cyclocephala tucumana, pupa; 48, female, lateral; 49–50, head, frontal (male, female); 51–52, terminalia, ventral (male, female); 53–54, female terminalia with abdomen fully distended (ventral, lateral). ag, male anterior genital ampulla; fg, female genital ampulla; lp, labial palp; mp, maxillary palp; pg, male posterior genital ampulla; pp9, posterior plate of abdominal sternite IX; st9–10, abdominal sternite IX–X; tg9–10, abdominal tergite IX–X. Scale = 2.5 mm.
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.