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ShareScore release 0.9.0
Dataset results
215 results for “summary statistics”
Full summary statistics of mixQTL for GTEx v8 Esophagus_Muscularis
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Kidney_Cortex
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Liver
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Lung
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Muscle_Skeletal
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Ovary
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Pituitary
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Esophagus_Gastroesophageal_Junction
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Prostate
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Skin_Not_Sun_Exposed_Suprapubic
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Small_Intestine_Terminal_Ileum
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Vagina
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Spleen
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Testis
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
GWAS summary statistics for The genetic architecture and evolutionary consequences of the human pelvic form
Open the record for dataset details and reuse information.
Chromosome 19 LD data for simulating summary statistics
<p>This data set contains two files both of which contain R objects.</p> <p>snpdata.RDS : A data frame with snp information</p> <p>evd_list_chr19_hm3.RDS : A list of eigen decomposition of the SNP correlation matrix spanning chromosome 19</p> <p>These data contain only SNPs in both 1k Genomes and HapMap3. Correlation matrices were estimated using LD Shrink. These data were built for use with the causeSims R package found here: https://github.com/jean997/causeSims</p>
Summary statistics for the InsPIRE consortium (pancreatic islets eQTLs)
<p>Summary statistics for the InsPIRE study: Influence of genetic variants on gene expression in human pancreatic islets – implications for type 2 diabetes</p> <p>This datasets includes eQTLs from 420 pancreatic islets (exon and gene level quantifications) and 27 beta-cells FAC sorted (exon quantifications) form RNA-Seq samples. Full summary statistics and independent associations are included.</p> <p>The full description of methods is currently available here: Bioxiv (<a href="https://www.biorxiv.org/content/10.1101/655670v1">https://www.biorxiv.org/content/10.1101/655670v1</a>).</p>
Table ¹: Summary statistics for mandible measurements (in mm) of each age group of Choloepus (mean ± standard deviation [range] sample size). in Harpy eagle kill sample provides insights into the mandibular ontogenetic patterns of two-toed sloths (Xenarthra: Choloepus)
<p><b>Table ¹:</b> Summary statistics for mandible measurements (in mm) of each age group of <i>Choloepus</i> (mean ± standard deviation [range] sample size).</p><table><tbody><tr><th><b>Measurement</b></th><th><b>Age classes</b></th></tr></tbody><tbody><tr><th></th><td><b>Infant</b></td><td><b>Įuvenile</b></td><td><b>Subadult</b></td><td><b>Adult</b></td></tr><tr><th>BAC</th><td>44.08 ± 3.04 [40.7–47.92] 4</td><td>48.54 ± 2.65 [42.39–52.29] 15</td><td>54.46 ± 3.79 [50.78–59.2] 4</td><td>65.12 ± 3.28 [61.05–71.01] 9</td></tr><tr><th>BCC</th><td>20.57 ± 1.47 [18.76–22.35] 4</td><td>23.08 ± 1.33 [20.83–25.78] 16</td><td>26.51 ± 0.73 [25.53–27.25] 4</td><td>31.81 ± 1.59 [28.84–33.69] 9</td></tr><tr><th>HCA</th><td>12.84 ± 1.41 [9.66–15.12] 13</td><td>15.66 ± 1.74 [11.95–20.11] 18</td><td>17.48 ± 1.13 [16.32–18.88] 4</td><td>21 ± 1.25 [18.49–23.08] 9</td></tr><tr><th>HCC</th><td>8.16 ± 1.4 [6.01–10.29] 13</td><td>9.65 ± 1.23 [7.52–11.68] 15</td><td>13.08 ± 0.72 [12.11–13.83] 4</td><td>23.68 ± 0.98 [22.16–25.02] 9</td></tr><tr><th>LAM</th><td>17.74 ± 1.57 [14.58–20.44] 13</td><td>20.6 ± 1.15 [19.15–22.72] 18</td><td>24.11 ± 2.11 [21.29–26.3] 4</td><td>26.28 ± 1.67 [23.31–28.9] 9</td></tr><tr><th>LCD</th><td>8.69 ± 1.11 [7.48–11.43] 13</td><td>9.88 ± 0.75 [8.89–11.73] 18</td><td>11.43 ± 0.8 [10.7–12.54] 4</td><td>12 ± 1.07 [10.18–13.89] 9</td></tr><tr><th>LMS</th><td>14.78 ± 0.84 [13.52–16.22] 13</td><td>16.98 ± 0.54 [16–18.11] 18</td><td>18.74 ± 0.69 [17.72–19.15] 4</td><td>20.06 ± 0.71 [19.15–21.38] 9</td></tr><tr><th>TML</th><td>56.3 ± 3.76 [50.53–61.07] 13</td><td>64.9 ± 1.99 [62.81–68.57] 18</td><td>72.42 ± 2.12 [69.41–74.39] 4</td><td>86.67 ± 3.52 [81.7–91.93] 9</td></tr></tbody></table><p>See main text for measurement abbreviations.</p>
Figure 6 from: Dunlop J, Penney D (2012) Summary statistics for fossil spider species taxonomy. ZooKeys 192: 1-13. https://doi.org/10.3897/zookeys.192.3093
Figure 6 - Number of fossil spider species described from each geological period. The Paleogene Period has been broken down into its various Epochs (Paleocene, Eocene and Oligocene) in order to show the spread of data; the Neogene Period is represented only by the Miocene Epoch because Pleistocene sub-fossils have not been included.
Figure 5 from: Dunlop J, Penney D (2012) Summary statistics for fossil spider species taxonomy. ZooKeys 192: 1-13. https://doi.org/10.3897/zookeys.192.3093
Figure 5 - Number of fossil spider species described by different arachnologists. Only first authorship data are considered, so in reality some authors will have described more species than the value indicated.
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.