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.
10,767
datasets available to search
ShareScore release 0.9.0
Dataset results
10,767 results for “Contribution”
Fig. 9 in Comparative anatomy of the skull of South American camelids. A contribution to their taxonomical identification
Fig. 9. Circle of correlations (left) and scoreplots (right) of PLS-DA analyses. A qualitative traits (see abbreviations of qualitative variables in Tables S1) and B quantitative traits (see abbreviation of qualitative variables in section 2.3 of Materials and Methods), C combined matrices. Variable loadings and centroids of species are illustrated in circles of correlations, while segregation of specimens on discriminant axes are illustrated on the scoreplots. Black points, vicu˜nas specimens; gray points, guanacos specimens; white points, llamas specimens.
Fig. 8 in Comparative anatomy of the skull of South American camelids. A contribution to their taxonomical identification
Fig. 8. Mandible in lateral view: Md3 (projection of angular process) and Md4 (shape of coronoid process). A (Lama glama INBIAL-CV 0251), B (Lama guanicoe CFA-Ma 13117) and C (Vicugna vicugna INBIAL-CV 0224). Scale 10 mm.
Fig. 7 in Comparative anatomy of the skull of South American camelids. A contribution to their taxonomical identification
Fig. 7. Mandible in dorsal view: Md1 (alignment of the lower incisors) and Md2 (articular surface proportions of the condyle). A (Lama glama CML 3786, Lama guanicoe CFA-Ma 14064 and Vicugna vicugna CML 3784), B Lama guanicoe (CFA-Ma 8237 and Vicugna vicugna INGEIS s/n). Scale 10 mm.
Dataset for research: "MTA and Koedam Score Contributes to Cognitive Impairment in Probable Alzheimer, Vascular and Mixed Dementia: A Memory Clinic Study in Indonesia"
<p>This is a dataset for research : "MTA and Koedam Score Contributes to Cognitive Impairment in Probable Alzheimer, Vascular and Mixed Dementia: A Memory Clinic Study in Indonesia"</p> <h1><strong><span>Abstract</span></strong></h1> <p><strong><span>Background</span></strong><span>. Medial Temporal Atrophy (MTA) and Parietal Atrophy (Koedam score) have been used in clinical practice to help the diagnosis of Alzheimer’s disease. However, the role of this brain imaging marker in early detection of other type of dementia remains elusive. The study aims to investigate the association between MTA and Koedam scores with the cognitive function in dementia patients (Alzheimer, vascular and mixed dementia).</span></p> <p><strong><span>Method</span></strong><span> <span>This was a</span> cross-sectional study using<span> data from a</span> Memory Clinic in Dr. Sardjito General Hospital Yogyakarta, Indonesia. The data was collected from January 2020 until December 2022. We collected the data regarding demographic and clinical characteristics, including head MRI data and Montreal Cognitive Assessment (MoCA) score. The cut-off points of MTA score and Koedam score were determined by using Receiver Operating Curve (ROC) and Youden Index. Multivariate analysis was performed to investigate variables which were associated with the cognitive function. </span></p> <p><strong><span>Result </span></strong><span>From 61 dementia patients, 22.95% was probable Alzheimer’s disease, 59.01% was vascular dementia, and 18.03% was mixed dementia. Correlation test showed that MTA and Koedam score were negatively associated with Montreal Cognitive Assessment-Indonesian Version (MoCA-INA) score. A bivariate analysis supports the findings that patients with combination of MTA score ≥3 and Koedam score ≥2 was more likely to have poor cognitive function (OR= 11.33; p<0.05). Multivariate analysis showed higher MTA (≥3) and Koedam (≥2) scores were associated with poor cognitive function in dementia patients (OR= 13.54, 95% CI= 1.77-103.43, <em>p</em>=0.01 and OR= 5.52, 95% CI= 1.08-28.19, <em>p</em>=0.04)</span></p> <p><strong><span>Conclusion </span></strong><span>Higher MTA and Koedam score contribute to worse cognitive function in any type of dementia patients. </span></p> <p><strong><span>Keywords.</span></strong><span> Imaging Marker, Medial Temporal Atrophy (MTA), Koedam Score, Cognitive Function, Dementia</span></p>
Data from: seed dispersal by frugivores without seed swallowing: evaluating the contributions of stomatochoric seed dispersers
<p>The process of seed dispersal that underpins ecosystem maintenance is performed by diverse arrays of fruit-eating animals. However, seed dispersal studies are primarily focused on a subset of these animal communities that disperse seeds by endozoochory. Stomatochory (seed dispersal in which seeds are carried externally and are not swallowed) is rarely considered to be effective, despite an increasing number of taxa-focused studies that indicate otherwise.</p> <p>We collated the available information on stomatochory to provide a quantitative overview of the dispersal mechanism, including plant-types and fruit-traits dispersed, dispersal distances and germination potential for all available taxa. We compared seed sizes dispersed, dispersal distances, and germination potential with corresponding data on endozoochory for bats and primates. We also identified the main taxa dispersing seeds by stomatochory and assessed what factors influenced the distances that they carried seeds to.</p> <p>Stomatochoric dispersers can displace large quantities of seeds, including large seeds and those of large fruits, and over short to long distances (> 1 km). Compared to similar-sized endozoochoric dispersers, they can disperse larger seeds, but over shorter distances, on average. Similar to endozoochory, seed handling by stomatochory also improves the germination potential of dispersed seeds. Dispersal distances achieved by stomatochory were influenced by body mass, daily path length, seed width, fruit type and seed handling techniques.</p> <p>Five main taxonomic groups of stomatochoric dispersers were identified: bats, parrots, squirrels, corvids and Old World monkeys (cercopithecines). Parrots perform dispersal services for the largest fruits and over the longest distances. However, given the lack of research on stomatochory, it is likely other taxa are also important stomatochoric dispersers but have not been identified yet.</p> <p>More research attention must be directed towards seed dispersal services that are not provided by endozoochory. Many stomatochoric dispersers are common animals within communities and could be playing dominant seed dispersal roles, even without swallowing seeds. Community-wide studies should incorporate all seed dispersal interactions, rather than focusing solely on endozoochory. This will ensure a more robust understanding of community-wide patterns.</p>
Supplementary material 1 from: Marino de Remes Lenicov AM, Faltlhauser AC, Foieri A, Salinas NA, Hernández MC, Sosa AJ (2024) New morphological and biological contributions to adults and immature forms of Pissonotus paraguayensis (Fulgoromorpha, Delphacidae) in wetlands of Argentina. ZooKeys 1188: 227-250. https://doi.org/10.3897/zookeys.1188.113350
Graphical figures of Kaplan-Meier curves of Pissonotus paraguayensis males and female survival probability on different test plants
Quantifying how natural history traits contribute to bias in community science engagement: a case study using native and introduced orb weaver spiders in North America
<p>Raw data and R scripts for manuscript.</p>
Real-world vehicular source indicators for exhaust and non-exhaust contribution to PM2.5 during peak and off-peak hours using tunnel measurement
<p>The data are the species concentrations, traffic and meteorological information during the sampling periods in WJL tunnel, and the estimated function of E<sub>N</sub> curve under vehicle electrification.</p>
Ephemeral stream water contributions to United States drainage networks
<p>Results from our CONUS ephemeral stream modeling study. Included in this release is a set of csv files for each CONUS drainage basin (USGS HUC level 4 basins). These lookup tables can be joined to NHD-HR hydrography (https://www.usgs.gov/national-hydrography/nhdplus-high-resolution). CSV columns are as follows:</p> <ul> <li>NHDPlusID: NHD-HR reach ID. Use this to join to hydrography shapefiles.</li> <li>perenniality: Result of our ephemeral classification model (see paper for methods).</li> <li>percQEph_reach: Main model result. See equation S1 in paper.</li> </ul> <p> </p> <p>Some notes:</p> <ul> <li>Note that continental-scale models prioritize capturing broad patterns across large domains, so we caution against over-interpreting results for individual river reaches.</li> <li>Great Lakes are not included, though the model does route through the lakes for topological consistency.</li> <li>Foreign streams are recast as 'non-ephemeral' to be copacetic with figures in the paper. See paper for more details.</li> <li>Some reaches present in the NHD-HR are not included in our results for a variety of reasons. See paper for details.</li> </ul> <p> </p>
Quantifying Human Contributions to Near-Surface Temperature Inversions: Insights from COVID-19 Natural Experiments
<p>These are the processed data and code used to generate our analysis in the article: </p> <ul> <li>Zhang, Z., Wang, J., & Ge, Y. (2024). Quantifying Human Contributions to Near-Surface Temperature Inversions: Insights From COVID-19 Natural Experiments. Geophysical Research Letters, 51(6), e2023GL107964. https://doi.org/10.1029/2023GL107964</li> </ul> <p>If you have any question about our data or code used in the analysis, please contact us at zhangzy.20b@igsnrr.ac.cn</p>
Dataset for the article entitled: "Revealing the strengthening contribution of stacking faults, dislocations and grain boundaries in severely deformed LPBF AlSi10Mg alloy"
<p>Dataset includes:</p> <p>EBSD data:</p> <p>AlSi10Mg_HT320.ang - Heat treated sample</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>TKD data:</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>XRD data:</p> <p>AlSi10Mg_HT320.ASC - Heat treated sample</p> <p>AlSi10Mg_HT320_ECAP100.ASC - Heat treated ECAP processed sample</p>
Contribution of parasite and host genotype to immunopathology of schistosome infections
<p>The present dataset contains all the phenotype data (.csv files) and R scripts used for data analysis and generation of figures (Fig. 2-6) present in the manuscript entitled "Contribution of parasite and host genotype to immunopathology of schistosome infections."</p>
FIGURE 1 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
FIGURE 1. Xulavuna krenakore sp. nov. male. Habitus A) lateral and B) dorsal; C) frons; D) sternum; E–F) dorsal view of head and thorax; G) metanotal gland.
FIGURE 4 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
FIGURE 4. Xulavuna krenakore sp. nov. female. Habitus A) lateral and B) dorsal; C) dorsal view of head and thorax; ovipositor in D) dorsal and E) lateral views.
FIGURE 3 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
FIGURE 3. Xulavuna krenakore sp. nov. male. Phallic complex in A) axial, B) dorsal, C) lateral, and D) ventral views; terminalia in E) dorsal, F) lateral, and G) ventral views. Abbreviations. Arc, ectophallic arc; Ect.A, ectophallic apodemes; Ect. f, ectophallic fold; Ps.P, pseudepiphallic parameres; Ps.S, pseudepiphallic sclerite; R, rami.
FIGURE 2 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
FIGURE 2. Xulavuna krenakore sp. nov. Inner (A, C, E) and outer (B, D, F) views of fore (A–B), mid (C–D), and hind legs (E–F), respectively; G) maxillary palpi, outer view; tegmina in H) dorsal and I) ventral views; details of tegminal gland in J) dorsal and K) ventral views.
FIGURE 5 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
FIGURE 5. Xulavuna krenakore sp. nov. female. Copulatory papilla in A) dorsal, B) ventral, and C) lateral views; D) tegmina; terminalia in E) dorsal, F) lateral, and G) ventral views.
FIGURE 5 in Contributions on the treehopper genus Ennya Stål, 1866 (Hemiptera: Membracidae) with two new species from Ecuador
FIGURE 5. Hille conspersa Stål lectotype male: A. frontal view, B. lateral view, C. labels. Hille notata Stål lectotype female: D. frontal view, E. lateral view, F. labels. Hille nutans Stål lectotype female: G. frontal view, H. lateral view, I. labels. Photos by Gunvi Lindberg © 2023 Naturhistoriska riksmuseet. Original photo cropped. Made available by the Swedish Museum of Natural History under Creative Commons Attribution 4.0 International Public License, CC-BY 4.0
FIGURE 1 in Contributions on the treehopper genus Ennya Stål, 1866 (Hemiptera: Membracidae) with two new species from Ecuador
FIGURE 1. Ennya chysura (Fairmaire): A. lateral view. Ennya scaromizzonoi Creão-Duarte & Sakakibara B. lateral view. Ennya sobria (Walker): C. frontal view, D. lateral view; ac: apical cell, av: anterior vertex, ax: apex of dorsal process, cc: central carina, dc: discoidal cell, dp: dorsal process, ha: humeral angles, lc: longitudinal carinae, mp: metopidium, pa: posterior apex, pv: posterior vertex, tc: transversal carinae. Scale bars: 3 mm.
FIGURE 7 in Contributions on the treehopper genus Ennya Stål, 1866 (Hemiptera: Membracidae) with two new species from Ecuador
FIGURE 7. Ennya lamariela sp. nov. holotype male: A. frontal view, B. lateral view, C. dorsal view. Paratype melanic male: D. lateral view. Last-instar nymph: E. frontal view, F. lateral view. Scale bars: 1 mm (A, E–F) 2 mm (B–D).
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.