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.
33,754
datasets available to search
ShareScore release 0.9.0
Dataset results
33,754 results for “Enhancers”
Enhanced Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset presents the enhanced version of digitized Screen-film Mammograms of African Descent. It contains mamographic images of 78 African cancer patients</p>
Two multi-temporal datasets to track the enhanced landsliding after the 2008 Wenchuan earthquake
<p>We release two datasets that track the enhanced landsliding induced by the 2008 M<sub>w</sub> 7.9 Wenchuan earthquake over a portion of the Longmen mountains, at the eastern margin of the Tibetan plateau (Sichuan, China). The first dataset is a geo-referenced multi-temporal polygon-based inventory of pre- and coseismic landslides, post-seismic remobilisations of coseismic landslide debris, and post-seismic landslides (new failures). It covers 471 km<sup>2</sup> in the earthquake’s epicentral area, from 2005 to 2018. The second dataset records the debris flows that occurred from 2008 to 2017 in a larger area (~17,000 km<sup>2</sup>), together with information on their triggering rainfall as recorded by a network of rain gauges. For some well-monitored events, we provide more detailed data on rainfall, discharge, flow depth and density. The datasets can be used to analyse, at various scales, the patterns of landsliding caused by the earthquake. They can be compared to inventories relative to past or new earthquakes or other triggers to reveal common or distinctive controlling factors. To our knowledge, no other inventories that track the temporal evolution of earthquake-induced mass wasting have been made freely available thus far. Our datasets can be accessed from <a href="https://doi.org/10.5281/zenodo.1405490">https://doi.org/10.5281/zenodo.1405490</a>. We also encourage other researchers to share their datasets to facilitate research on post-seismic geological hazards.</p>
DeepThought DPR: Distributed peer review enhanced with natural language processing and machine learning - Dataset I
<p>This is the anonymized dataset obtained from the DPR Experiment run at ESO in Fall 2018. If this dataset is used both this DOI as well as the main paper need to be cited. </p>
Data - The Benefits of Neurofeedback Training for Alpha Enhancement and Cognitive Performance - a Single-Blind, Sham-Feedback Study Using a Low-Prized EEG Device
<p>This data set includes the minimal data set, which was used to obtain the results in Naas, Rodrigues, Knirsch, & Sonderegger (2019, doi: http://dx.doi.org/10.1101/527598).</p>
Data for Contrast Enhanced Prostate MRI paper
<p>DICOM and MATLAB .mat data files used in paper:</p> <p>"<strong>Optimisation of contrast enhanced MR sequences for detection of prostate cancer"</strong></p> <p>This data is referred to in the code as 20Mar2018.</p> <p>Associated MATLAB .m files are on the GitHub site: <a href="https://github.com/UCL/CEPMRI-opt.">https://github.com/UCL/CEPMRI-opt </a></p> <p> </p>
Raw data of "Bridging of nucleosome-proximal DNA double-strand breaks by PARP2 enhances its interaction with HPF1"
<p>Raw data used in the following article:</p> <p>Bridging of nucleosome-proximal DNA double-strand breaks by PARP2 enhances its interaction with HPF1</p> <p>Guillaume Gaullier, Genevieve Roberts, Uma M. Muthurajan, Samuel Bowerman, Johannes Rudolph, Jyothi Mahadevan, Asmita Jha, Purushka S. Rae, Karolin Luger</p> <p>bioRxiv 846618; doi: <a href="https://doi.org/10.1101/846618">https://doi.org/10.1101/846618</a></p> <p>This includes:</p> <ul> <li>uncropped and unaltered images of all SDS-PAGE and native PAGE</li> <li>all size exclusion chromatograms and light scattering data</li> <li>raw data of all fluorescence polarization and FRET binding curves</li> <li>thermal shif assay raw data</li> </ul>
Figure 2 in Trapping Sweetpotato Weevil, Cylas formicarius (Coleoptera: Brentidae), with High Doses of Sex Pheromone: Catch Enhancement and Weathering Rate in Hawaii
Figure 2. Effect of lure loading on trap catch over one week of weathering. Average (± SEM) male sweetpotato weevil catch per trap per week in sweetpotato fields in the vicinity of Pepeekeo, Hawaii, in traps baited with one of three different loadings of male sweetpotato weevil attractant. Catch results are from the first week following initial trap deployment with five traps for each loading, deployed in a randomized complete block design (average of three separate trials). Bars labeled with the same letter are not significantly different at the α = 0.05 level.
Figure 1 in Trapping Sweetpotato Weevil, Cylas formicarius (Coleoptera: Brentidae), with High Doses of Sex Pheromone: Catch Enhancement and Weathering Rate in Hawaii
Figure 1. Map of weathering trial showing locations of fields where traps with lures were placed (developed using ArcGIS [ESRI 2012]). Traps were initially deployed at Site 1 on 14 February, 2012, and moved on to Sites 2, 3, 4, and 5 over the course of the weathering trial. The weathering time of the traps at each site was as follows: (Site 1) first 8 weeks; (Site 2) weeks 9–16; (Site 3) weeks 17–24; (Site 4) weeks 25–40; and (Site 5) week 41 (assessment). A weather station was maintained over the course of the weathering trial and was located at Site 2 for the first 16 weeks and then located at the location of the filled circle on the map for the remaining weeks of the trial.
Figure 4. Trial 4 in Trapping Sweetpotato Weevil, Cylas formicarius (Coleoptera: Brentidae), with High Doses of Sex Pheromone: Catch Enhancement and Weathering Rate in Hawaii
Figure 4. Trial 4 results: Effect of weathering over 40 weeks on trap catch. Decline in sweetpotato weevil catch/trap/week over 40 weeks in traps baited with (A) septum holding 1.0 mg male lure (see text for calculated exponential decay curve), and (B) septum holding 120 μg male lure (see text for calculated exponential decay curve). Calculated septum age where catch is 50% of fresh catch is presented for each curve.
Figure 1 in Mosquito (Diptera: Culicidae) species richness and abundance across a tree-height gradient: does adding CO enhance the BG-Lure?
Figure 1. Study Site and Sampling Setting. (A) Monroe County in Indiana, USA. (B) Hickory Ridge Fire Tower and Nearest Weather Station within Monroe County. (C) BG-pro mosquito trap in CDC style. (D) Tower canopy height gradient. / Figura 1. Sitio de estudio y metodologÍa de muestreo. (A) Condado Monroe, Indiana, Estados Unidos. (B) Torre de avistamiento de incendios y estación meteorológica más cercana dentro del Condado Monroe. (C) Trampa de mosquitos BG-pro configurada en estilo CDC. (D) Gradiente de altitud arbórea.
Ensemble Learning of Catchment-Wise Optimized LSTMs Enhances Regional Rainfall-Runoff modelling - Case Study: Basque Country, Spain - Data
<div> <div>This data and results are for paper: "Ensemble Learning of Catchment-Wise Optimized LSTMs Enhances Regional Rainfall-Runoff modelling - Case Study: Basque Country, Spain" by Hosseini et al. 2024 (Preprint - Under review J.Hydro 2024) Available at SSRN: <a href="https://ssrn.com/abstract=4918782" target="_blank" rel="noopener">https://ssrn.com/abstract=4918782</a></div> <div> </div> </div>
Fig. 5 in A proposed ectochory of Galba truncatula snails between wallow sites enhances transmission of Fascioloides magna at gemenc, in Hungary
Fig. 5. Some intact shells and fragments of snails which were recovered from dry mud adhering to a tree trunk near a wallowing site. A relatively fresh and intact shell of G. truncatula (X) can be seen among the brownish pieces of only recently deceased (R) and old, whitish shells of snails.
Fig. 3. G in A proposed ectochory of Galba truncatula snails between wallow sites enhances transmission of Fascioloides magna at gemenc, in Hungary
Fig. 3. G. truncatula snails are foraging adjacent to a fresh faecal ball of red deer. In consequence of their intense foraging activity, they transform the smooth surface of mud rough. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in A proposed ectochory of Galba truncatula snails between wallow sites enhances transmission of Fascioloides magna at gemenc, in Hungary
Fig. 4. Collection of dry mud-cover from a roadside tree trunk on the bank of a wallow. Thicker trees than the trunk of the bushes are regularly used by wild boars as rubbing poles. The edge of the puddle was trampled by animals.
Fig. 2. Several G. truncatula within a in A proposed ectochory of Galba truncatula snails between wallow sites enhances transmission of Fascioloides magna at gemenc, in Hungary
Fig. 2. Several G. truncatula within a shrinking puddle. The amphibious snails are distributed more or less evenly on the wettest parts of mud but not in the water. A footprint of red deer is on the left. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. A in A proposed ectochory of Galba truncatula snails between wallow sites enhances transmission of Fascioloides magna at gemenc, in Hungary
Fig. 1. A) The 57 sample sites, black circles, for the malacological survey performed at Gemenc. The sites were selected upon discussions with the hunters for water bodies that had known animal water contact. B) A typical puddle on a forest road in Gemenc flood area. Several footprints of game are immersed into the soft mud and the deepest center of the wallowing site rainwater last for month.
Enhancing multi-mode transport emission inventories: combining open-source data with traditional approaches
<p>The primary goal of this dataset is to enhance the spatial and temporal distribution of emissions from civil aviation (NFR1.A.3.a), road transport (NFR1.A.3.b), railways (NFR1.A.3.c), and military aviation (NFR1.A.5), using Portugal as case study. For more information, please refer to the published article “Enhancing multi-mode transport emission inventories: combining open-source data with traditional approaches” (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.uclim.2024.102097" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.uclim.2024.102097</span></span></a>). This dataset contains the following folders and files:</p> <p><strong>1. Spatial_Location</strong></p> <p> 1.1. NFR1_A_3_a.gdb: Geodatabase containing the locations of Portuguese airports and aerodromes.</p> <p> 1.2. NFR1_A_3_b.gdb: Geodatabase containing the locations of Portuguese roads.</p> <p> 1.3 NFR1_A_3_c.gdb: Geodatabase containing non-electrified Portuguese railways and train station locations.</p> <p> 1.4 NFR1_A_5.gdb: Geodatabase containing the locations of Portuguese military airport facilities.</p> <p><strong>2. Temporal_Profiles</strong></p> <p><em> 2.1. Daily</em></p> <p> 2.1.1. Daily_NFR1_A_3_a.csv: This csv file contains the daily movements profiles of civil aviation sites in Portugal.</p> <p><em> 2.2. Hourly</em></p> <p> 2.2.1. Hourly_NFR1_A_3_b.txt: This txt file contains the hourly road traffic volume profiles for the road transport activities in Portugal at different locations (BigAir column).</p> <p> 2.2.2. Hourly_NFR1_A_3_c.txt: This text file contains the hourly railway profile in Portugal, categorized by line and train station.</p> <p><strong>3. Emission_Factors</strong></p> <p> 3.1. EF_NFR1_A_3_a.xlsx: This Excel file contains emission factors for civil aviation activities, categorized by technology, flight phase, fuel, and pollutant. Additionally, it includes information about engines and aircraft.</p> <p> 3.2. EF_NFR1_A_3_b.xlsx: This Excel file contains emission factors for road transport activities, categorized by vehicle type, technology, fuel, abatement, and pollutant. Emission factors for road resuspension are not provided because the papers using this dataset are still under review.</p> <p> 3.3. EF_NFR1_A_3_c.xlsx: This Excel file contains emission factors for railways activities, categorized by technology, fuel, and pollutant.</p> <p> 3.4. EF_NFR1_A_5.xlsx: This Excel file contains emission factors for military aviation activities, categorized by fuel, and pollutant.</p> <p><strong>4. Other_Info</strong></p> <p> 4.1 NFR1_A_3_b: This folder contains information organized by road segments, including fuel consumption (in the “FuelConsumption” folder), hourly meteorology (in the “Meteorology” folder), population data (in the “Population” folder), daily traffic volume (in the “TrafficVolume” folder), vehicle categories (in the “VehicleCategory” folder), and vehicle classes (in the “VehicleClasses” folder). Additionally, it includes the link between road traffic volume measurement points and the Portuguese road network (in the “sensorsVSroads” folder)</p>
Correlation between Radiation Enhancements at Aviation Altitudes and Energetic Precipitation Electrons
<p>Figures, data, and code used in my paper describing "Correlation between Radiation Enhancements at Aviation Altitudes and Energetic Precipitation Electrons"</p>
Plasmon-Driven Chemical Transformation of a Secondary Amide Probed by Surface Enhanced Raman Scattering
<p>This data set complements the article "Plasmon-Driven Chemical Transformation of a Secondary Amide Probed by Surface Enhanced Raman Scattering" published at https://doi.org/10.1038/s42004-024-01276-2.</p>
Eumelanin-Enhanced Photothermal Disinfection of Contact Lenses Using a Sustainable Marine Nanoplatform Engineered with Electrospun Nanofibers_(antibacterial study - S.aureus)
<p>Eumelanin-Enhanced Photothermal Disinfection of Contact Lenses Using a Sustainable Marine Nanoplatform (antibacterial study - S.aureus)</p>
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.