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.
18,658
datasets available to search
ShareScore release 0.9.0
Dataset results
18,658 results for “impacts”
Fig. 3 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 3. Correlation between average IF and uncitedness rate of journals on zoology in Sample 1 between 2006 and 2010. The highlighted represents the data for Neotropical Ichthyology.
Data to the paper "Drop impact onto a moving substrate: Aerodynamic rebound"
<p>These are the data used in the paper :<br>"Drop Impact onto a Moving Substrate: Aerodynamic Rebound."</p>
Data and code from: Long-term climate impacts of large stratospheric water vapor perturbations
<p>The amount of water vapor injected into the stratosphere after the eruption of Hunga Tonga-Hunga Ha'apai (HTHH) was unprecedented, and it is therefore unclear what it might mean for surface climate. We use chemistry climate model simulations to assess the long-term surface impacts of stratospheric water vapor (SWV) anomalies similar to those caused by HTHH, but neglect the relatively minor aerosol loading from the eruption. The simulations show that the SWV anomalies lead to strong and persistent warming of Northern Hemisphere landmasses in boreal winter, and austral winter cooling over Australia, years after eruption, demonstrating that large SWV forcing can have surface impacts on a decadal timescale. We also emphasize that the surface response to SWV anomalies is more complex than simple warming due to greenhouse forcing and is influenced by factors such as regional circulation patterns and cloud feedbacks. Further research is needed to fully understand the multi-year effects of SWV anomalies and their relationship with climate phenomena like El Nino Southern Oscillation.</p>
Figure 2 in Measuring the scientific impact of FishBase after three decades
Figure 2. – Four indicators for the impact of FishBase. A: Annual number of 'hits' that the FishBase webpage has been receiving since 1998. Data derived from https://www.fishbase.se/WebUse.php?yr=All. *'hits' are defined as all requests made to the server and are used as a representation of FishBase usage. The number of substantial user sessions is by default considerably lower, i.e., around 1 million per month in 2020. B:Annual number of citations to FishBase, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). C: Annual number of citations to FishBase, based on data from Google Scholar (www.scholar.google.com, accessed on January 13, 2021). D: Occurrence in famons (1 famon = 10-6 relative % Ngram frequency: Stergiou, 2017) of the term "fishbase" (case insensitive) in the corpora of English (American and British), French, and Spanish books published between 1994 and 2018, based on data from the Google Books Ngram Corpus (http://books.google.com/ngrams; accessed on October 2, 2021).
Figure 4 in Measuring the scientific impact of FishBase after three decades
Figure 4. – Subject areas and context of FishBase citations. A: Number of documents citing FishBase by subject area, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Note that documents may fall into more than one category. B: Context in which the 107 most highly cited papers (1% of the total FishBase citations from 1994 to 2020, based on Scopus) reference FishBase (neutral/ technical, positive, negative) and C: How they use it (as a source of data or a simple reference to it).
Figure 3 in Measuring the scientific impact of FishBase after three decades
Figure 3. – Bubble map visualization of the global distribution of FishBase citations for the period 1994-2020, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Bubble size is relative to the number of documents citing FishBase (maximum number: 2,022 documents produced by the United States of America).
Figure 2 in Potential impacts of bottom trawling on species of skates (Rajiformes: Rajidae): the case of the Gulf of Cádiz and the Western Mediterranean
Figure 2. – Landings (kg) of Raja spp., Raja asterias, R. clavata and R. undulata from the Gulf of Cádiz (1985-2018).
Figure 1 in Potential impacts of bottom trawling on species of skates (Rajiformes: Rajidae): the case of the Gulf of Cádiz and the Western Mediterranean
Figure 1. – Marine areas included in the study: the Gulf of Cádiz and the Western Mediterranean Sea (Alboran Sea).
Figure 1 in Impact of parasitism by nematodes on gonadal anatomy of Pagellus erythrinus (L.)
Figure 1. – Pathological effect observed macroscopically on the examined teleost fish of P. erythrinus. A-E: Ovaries of Pagellus erythrinus infested by the nematodes Philometra filiformis; P. filiformis was found inside the ovaries; F: P. filiformis external form. o: ovaries, white arrow: P. filiformis. Scale bars: A, B, D, E = 1 cm; C = 0.5 cm; F = 0.10 cm.
FIGURE 7 in The genera that never were: The impact of Janeia and Janacekia on phyletic and taxonomic relations within the Solemyidae (Bivalvia: Protobranchia)
FIGURE 7. Interpretations of a transverse section through the beak of Janeia truncata, Middle Devonian of Gerolstein as figured by Quenstedt (1930, pl. 1, fig. 4) and reproduced in the Treatise by Cox (1969, N242, fig. B1,1b). A, Quenstedt's original ink sketch, a left valve, showing nymph-like ossicle (arrow) alleged to be a chondrophore for attachment of an internal ligament. B, inferred transverse section of right valve. C, incompatibility of right and left valves when fitted together with closed dorsal margins. As shown, the ossicle and its inferred counterpart irreconcilably overlap (arrow). D, a workable solution achieved by addition of an internymphal gap (arrow) separating the valves posterodorsally. By inference, the ossicles functioned as nymphae supporting an external ligament (stippled pattern, here reconstructed). E, Quenstedt's (1930, pl. 1, fig. 5) diagrammatic reconstruction of Janeia truncata based on the internal mold of a left valve figured by Beushausen (1895, pl. 26, fig. 5). For clarification, arrows and explanatory labels are added here.
FIGURE 4 in The genera that never were: The impact of Janeia and Janacekia on phyletic and taxonomic relations within the Solemyidae (Bivalvia: Protobranchia)
FIGURE 4. Phyletic schemes and biostratigraphic ranges (solid bars) of Paleozoic solemyoid genera. A, phyletic scheme of Pojeta (1988, fig. 3) postulating derivation of the Clinopisthinae and Solemyinae from nuculoid ancestors (i.e., Ctenodonta). B, proposed modifications (in red) of Pojeta's scheme based on studies herein. Abbreviations of generic names: A. = Acharax; Cl. = Clinopistha; Ct. = Ctenodonta; D. = Dystactella; 'J.' = Janeia; and M. = Manzanella.
FIGURE 6 in Late Cretaceous Elopomorpha (Actinopterygii: Teleostei) from the Mahajanga Basin of Madagascar and impacts on paleobiogeography
FIGURE 6. Late Cretaceous Paleogeographic Map showing known fossil localities (clustered by state if applicable) of Albula, Egertonia, and Paralbula and the location of the Madagascar fauna. PaleoMap modified from global Molleweide projection at 66 Ma (Scotese, 2014). Localities are condensed by state or province in North America for clarity.
FIGURE 4 in Late Cretaceous Elopomorpha (Actinopterygii: Teleostei) from the Mahajanga Basin of Madagascar and impacts on paleobiogeography
FIGURE 4. Paralbula sp. fossils from the Maevarano Formation. A-B occlusal and lateral views of tooth plate (DMNH EPV.136304). C-D occlusal and lateral views of tooth plate (UA 11391). E-F, occlusal and lateral views of tooth plate (UA 11392). Scale bar equals 1 cm.
FIGURE 3 in Late Cretaceous Elopomorpha (Actinopterygii: Teleostei) from the Mahajanga Basin of Madagascar and impacts on paleobiogeography
FIGURE 3. Egertonia sp. fossils from the Maevarano Formation. A-B, occlusal and cross-section views of tooth plate (UA 11389). C-D, occlusal and cross-section views of tooth plate (DMNH EPV. 136302). E-F, occlusal and cross-section views of tooth plate (DMNH EPV.136303). G-I, occlusal, cross-section, and basal views of tooth plate (UA 11390). Scale bar equals 1 cm; small arrows used in cross-section view to highlight vertically stacked teeth.
FIGURE 1 in Late Cretaceous Elopomorpha (Actinopterygii: Teleostei) from the Mahajanga Basin of Madagascar and impacts on paleobiogeography
FIGURE 1. Geologic map of the Mahajanga Basin field area in northwestern Madagascar, including Berivotra and Lac Kinkony Study Areas. Modified with permission from Rogers et al. (2013).
FIGURE A5 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A5. Scatter plot displaying how beam shift, measured by the apparent growth (scale) of the shell in the final x-ray radiograph relative to the first x-ray radiograph, varies with (1) time of day the scan was performed, and (2) the overall scan time. We found that beam shift decreased throughout the day, likely due to the tube warming up as more scans are run. There was no correlation between overall scan time and the amount of beam shift.
FIGURE A1.2 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A1.2. The range of volume measurements for each exposure times when three scans were reconstructed using ten methods. The blue dot represents the simple surface determination used for all shells in this study. The error bars represent the data range for each exposure time.
FIGURE 4. A in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE 4. A video moving through slices of a pteropods shell scanned at 500 ms exposure time, with five xray radiographs averaged per view and an overall scan time of 75 minutes. There are streak artefacts perpendicular to the shell edge that are likely caused by beam hardening or shell movement during the scan. For video file, see https://palaeo-electronica.org/content/2020/ 2923-investigating-ct-scan-quality.
FIGURE 4 in Short-term response of fish assemblages to instream habitat restoration in heavily impacted streams
FIGURE 4 | Changes in environmental parameters (mean ± sd) depth, flow and structural diversity in pre and post-restoration conditions. C= Control treatment, W= Wood treatment, WL= Wood/leaf treatment, *= p-values <0,05.
FIGURE 1 in Short-term response of fish assemblages to instream habitat restoration in heavily impacted streams
FIGURE 1 | Map of the study area, highlighting the state of São Paulo and the location of the streams within the watersheds: Tietê River (streams P1, P2, P6 and P7), São José dos Dourados River (P3 and P4), and Turvo River (P5 and P8).
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.