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.
750
datasets available to search
ShareScore release 0.9.0
Dataset results
750 results for “heterogeneous data”
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data III
GEO Series GSE310222. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data IV
GEO Series GSE310223. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Data from: Relative contributions of fixed and dynamic heterogeneity to variation in lifetime reproductive success in kestrels (Falco tinnunculus)
<p>These data contain information about the survival and reproduction of Common kestrels in the Haarlemmermeer, The Netherlands. This dataset was used by Broekman et al. (2020) to fit a capture-mark-recapture multistate model, which was subsequently used to analyse relative contributions of fixed and dynamic heterogeneity to variation in lifetime reproductive success.</p> <p>The Common Kestrel (<em>Falco tinnunculus</em>) is a small raptor that is widespread in Europe and is the most common bird of prey in the Netherlands. It is a short-lived species and can start breeding in their second calendar year (Village 1990). We studied a kestrel population in the Haarlemmermeer (185 km<sup>2</sup>), which contains Amsterdam Schiphol Airport. This area has on average 56 breeding pairs per year (varying between 36 and 73 breeding pairs per year, see table S1 in Broekman et al. 2020), with clutch sizes ranging from 1 to 8 eggs. The Life-time Reproductive Success (LRS) in this population ranges between 0-42 for females and 0-38 for males, with the majority of the offspring produced by a small fraction of the population (4% of the kestrels produce around 30% of the offspring). </p> <p>Data on this population were collected by Bert Jan Bol between 1993-2015 and entailed capturing and individually marking of birds, as well as observing the success of all nests (mainly in nest boxes) in the study area (Bol 1997). In addition, breeding biology data were gathered, which included, among others, the location, the number of fledglings and the identity and age of the parents. The identity of the mother was known for 81% of the nests and the identity of the father was known for 29% of the nests (N = 1194). Furthermore, in a previous study on this population we determined the amount of extra-pair paternities in 109 different nests from 2011-2014, including years with both low and high prey abundance and did not find any extra-pair paternities (Broekman 2016). We can therefore assume that the identified father of a nest is the father off all offspring from that nest.</p> <p> </p> <p>Description of each of the variables in the dataset:</p> <p><strong>ID</strong></p> <p>Unique ID of the individual</p> <p><strong>sex</strong></p> <p>Male or Female. The sex of some individuals is unknown because it is difficult to determine the sex of young individuals</p> <p><strong>age</strong></p> <p>Age of the individual. Individuals are 0 years old when they are captured in the year they were born or when they are captured in the first three months of the following year (the same applies to 1, 2, 3 years old individuals, etc.). It is therefore possible that age and year do not increase in concert along the observations on an individual. Some individuals have an unknown age, but it is at least known they are older than 1 year. The age of these individuals is >1 (or >2 if its age was >1 the previous year) </p> <p><strong>year</strong></p> <p>Year in which the individual was captured, found dead, or identified (retrospectively) as the father through DNA analysis of offspring</p> <p><strong>nOffspring</strong></p> <p>Number of fledglings an individual produced. If it is NA the individual was not found breeding, which could either mean the individual was not breeding or it was breeding but has not been detected while breeding</p> <p><strong>closeToSchiphol</strong></p> <p>Indicates whether the individual was captured within 3 km from the closest runway from Schiphol (= Yes) or further away (= No) </p> <p><strong>insideHaarlemmermeer</strong></p> <p>Indicates whether the individual was captured within the Haarlemmermeerpolder, the study area (= Yes) or outside the Haarlemmermeerpolder (= No). Some individuals are captured both inside or outside the Haarlemmermeerpolder in the same year. In these cases, both observations of the individuals are retained in the dataset, indicating that the individual migrated into or away from the study area</p> <p><strong>dead</strong></p> <p>Indicates whether the individual was captured alive (= No) or found dead (Yes)</p> <p> </p>
Data from "Surface-sensitive waveguide scattering microscopy of single extracellular vesicles reveals content and biomarker heterogeneity"
<p>This dataset is associated with manuscript Parkkila et al.: "Surface-sensitive waveguide scattering microscopy of single extracellular vesicles reveals content and biomarker heterogeneity".</p>
Three-dimensional Steady-State Hydraulic Tomography Analysis with Integration of Cross-hole Flowmeter Data at a Highly Heterogeneous Site
<p>The spreadsheet contains the information of model discretization and datasets utilized to accomplish the study, while SimSLE inputs for Cases 1 to 4 are also included.</p>
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data I
GEO Series GSE310219. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data
GEO Series GSE310225. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Genomic and transcriptomic data integration and its automated analysis in clear-cell renal cell carcinoma suggests population heterogeneity of causes and mechanism of the disease
GEO Series GSE76351. Homo sapiens. 24 samples. Type: Expression profiling by array.
Estimating DNA methylation heterogeneity in bisulfite sequencing data
GEO Series GSE103859. Homo sapiens. 2 samples. Type: Methylation profiling by high throughput sequencing.
Data for publication "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity"
<p>Here, the data is stored for the article "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity" which is currently submitted but not accepted.</p><p>it was not possible to include all data in this repository. the confocal tilescan images used for WPB and Cell morphology quantification and images used for the migration assay were too many and too large in size to include. However, this data is available upon request.</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.