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7,195 results for “SET”
Gold standard genome and taxonomic binning of the CAMI 2 Mouse Gut Toy data set, gold standard pooled assembly
<p>Gold standard genome and taxonomic binning of the CAMI 2 Mouse Gut Toy data set, gold standard pooled assembly<br> <strong>DataURL: </strong> https://data.cami-challenge.org/participate</p>
Synthetic Data Set for Uplift Modeling (One Trial)
<p>This dataset is designed and simulated for evaluating uplift modeling and feature selection methods.</p> <p>This dataset contains 10,000 samples and 36 features (one trial).</p> <p>The samples are equally split for control and treatment group.</p> <p>The generated data has three types of features: (1) uplift features influencing the treatment effect on the conversion probability; (2) classification features affecting the conversion probability but independent of the treatment effect; and (3) irrelevant features that are independent of both conversion probability and the treatment effect. To model the relationship between uplift features and the treatment effect and classification features and outcome probability, we implement six types of association patterns in the data generation process: linear, quadratic, cubic, ReLU (Rectified Linear Unit), trigonometric function sine, and cosine.</p> <p>In this data set, there are 36 features in total, including 10 classification features, 6 uplift features, and 20 irrelevant features.</p> <p>Column names:</p> <ul> <li>Experiment group label: 'treatment_group_key'</li> <li>Feature names: ['x1_informative',<br> 'x2_informative',<br> 'x3_informative',<br> 'x4_informative',<br> 'x5_informative',<br> 'x6_informative',<br> 'x7_informative',<br> 'x8_informative',<br> 'x9_informative',<br> 'x10_informative',<br> 'x11_irrelevant',<br> 'x12_irrelevant',<br> 'x13_irrelevant',<br> 'x14_irrelevant',<br> 'x15_irrelevant',<br> 'x16_irrelevant',<br> 'x17_irrelevant',<br> 'x18_irrelevant',<br> 'x19_irrelevant',<br> 'x20_irrelevant',<br> 'x21_irrelevant',<br> 'x22_irrelevant',<br> 'x23_irrelevant',<br> 'x24_irrelevant',<br> 'x25_irrelevant',<br> 'x26_irrelevant',<br> 'x27_irrelevant',<br> 'x28_irrelevant',<br> 'x29_irrelevant',<br> 'x30_irrelevant',<br> 'x31_uplift_increase',<br> 'x32_uplift_increase',<br> 'x33_uplift_increase',<br> 'x34_uplift_increase',<br> 'x35_uplift_increase',<br> 'x36_uplift_increase']</li> <li>Outcome variable: 'conversion'</li> <li>True underlying control conversion probability: 'control_conversion_prob'</li> <li>True underlying treatment conversion probability: 'treatment1_conversion_prob'</li> <li>True treatment effect: 'treatment1_true_effect'</li> <li>Note columns names with '_transformed' suffix are feature variables used in the intermediate steps during the data generation, that should be excluded for model training.</li> </ul>
GSAn_Supplementary_Data: Description of the investigated gene sets
<p>The following table provides the number of genes in each BTM gene set [1] as well as the number of genes annotated within GOA and by each of the following tools: GSAn, DAVID [2], g:Profiler [3], ClusterProfiler [4] and WebGestalt [5].</p>
data sets for "Ultra-Conserved Elements and morphology reciprocally illuminate conflicting phylogenetic hypotheses in Chalcididae (Hymenoptera, Chalcidoidea)"
<p>data sets used in :</p> <p>Cruaud A, Delvare G, Nidelet S, Sauné L, Ratnasingham S, Chartois M, Blaimer BB, Gates M, Brady SG, Faure S, van Noort S, Rossi J-P, and Rasplus J-Y. in press. Ultra-Conserved Elements and morphology reciprocally illuminate conflicting phylogenetic hypotheses in Chalcididae (Hymenoptera, Chalcidoidea). Cladistics.</p> <p>1) morphological matrix (matrix_morphology_chalcididae_cladistics2020.nex) : Further details on characters and character states as well as illustrations can be found in the manuscript.</p> <p>2) concatenated UCE data set (merge_UCEs_chalcididae_cladistics2020.phy)</p> <p>3) all phylogenetic trees (morphology, UCEs, subset of UCEs; see paper for further details)</p> <p>4) a mesquite file with mapping of morphological characters on alternative UCE trees and the MJ consensus tree of the morphological analysis (mesquite_trees_and_morphological_transformations_chalcididae_cladistics2020.nex)</p>
Reference set of random studies from Embase
<p>These are two datasets in a simple Excel file, and separated as two .csv files. They contain a random set of Embase studies, that can be used for projects around search strategy development.</p> <p>1. A random selection of 1000 articles from Embase, letters removed. Two assessors indicated whether a study was a diagnostic accuracy study or not. The scores of the assessors and the final decision are included in the dataset, as well as comments. Also, for each study has been indicated whether they are labelled as "Diagnostisc Test Accuracy Study" by Embase.</p> <p>2. A random selection of 1223 articles from Embase, letters removed and limited to human-only studies. Two assessors indicated whether a study was a diagnostic accuracy study or not. The scores of the assessors and the final decision are included in the dataset, as well as comments. Also, for each study has been indicated whether they are labelled as "Diagnostisc Test Accuracy Study", "Diagnostic Test Accuracy" or as "Sensitivity and Specificity" by Embase.</p>
Gullspång Pull-out Test Data Set
<p>This data set contains the outcome of a series of pull-out tests (and 3D scan analysis) in the investigation of the bond behavior of naturally-corroded, plain reinforcement sourced from a decommissioned structure. The contents of this data set includes 1) photos and test measurements for all tested rebars; 2) an SQL database containing all pullout (unprocessed) data; and 3) an SQL database containing processed data. Data is provided in SQL format to permit querying of entries across the otherwise large, and parametrically diverse, data set. A "Read Me" file is also provided for additional descriptions of the content within.</p>
The GitHub Sponsors Data Set
<p>This is the data set for our submission to MSR 2020. "Contributing by Paying: A Data Set and Data-Driven Study on the GitHub Sponsors Program". Please download and unzip the .zip archive to get the data set used in the paper (folder <em>2019-11-30</em>) and recent updates (folder <em>sponsorship_snapshots</em>) on the snapshots of sponsors.</p>
Data set of airborne and ground-based atmospheric measurements from Hyytiälä, Finland
<p>This data set includes airborne and ground-based measurements of aerosol particles and meteorological variables from Hyytiälä, Finland (61.85N, 24.28E). The airborne measurements were done between 2013-2015 and the ground-based measurements include selected data between 2006-2017.</p>
Data-sets for Indoor Photovoltaic Behavior in Low Lighting condition
<p>This file includes five data-sets from behavior of indoor photovoltaic modules under pure artificial lighting conditions with low light intensity.</p> <p>Three types of PV module are included by use of two types of light sources measured in a high accuracy controlled light testbed.</p> <p>One of data-sets includes data measured within a warehouse as a industrial environment mostly with pure artificial lighting with low light intensity.</p> <p>Each data-set includes multiple measurements at different light intensities and temperature condition.</p> <p>Each measurement includes both radiometry and photometry spectrum of the light, integrative light intensity and temperature in addition to the voltage-current relation of the PV module in that lighting condition.</p>
The potential of sector coupling in future European energy systems soft linking between the Dispa-SET and JRC-EU-TIMES models - Dataset
<p>Supporting dataset and Dispa-SET version used within "The potential of sector coupling in future European energy systems soft linking between the Dispa-SET and JRC-EU-TIMES models" paper.</p>
Ultimate-Guitar Data Set
<p>Data yang kami ambil adalah data pencarian chord lagu pada website ultimate guitar. Dataset yang kami gunakan berisi 5 kolom dan 150 baris daftar chord lagu yang ada pada website ultimate guitar. Kolom artist_name berisi nama artis yang menyanyikan lagu. penyanyi, kolom artist_songs berisi judul lagu, kolom song_rating berisi jumlah orang atau user yang melakukan rating ke chord lagu, kolom song_hits berisi jumlah chord lagu telah dilihat pada hari data di ambil, kolom type berisi bentuk dari chord lagu.</p>
Curated set of cone bipolar cell morphologies for biophysical modelling
<p>This dataset contains 40 cone bipolar cell morphologies in the .swc file format (skeleton and radius) based on the e2006 EM dataset (Helmstaedter et al., 2013). All morphologies have been manually proof-read. Individual file names consist of the cell ID from the original EM dataset and the cell type following (Behrens et al., 2016).</p>
Atmospheric aerosol, gases and meteorological parameters measured during the LAPSE-RATE campaign - Kansas State University data sets
<p>This publication summarizes the measurements and data sets generated by Kansas State University (KSU) during the LAPSE-RATE that took place in the San Luis Valley of Colorado during the summer of 2018. These data sets offer observations of atmospheric aerosols at the surface and in vertical column acquired by KSU rotary-wing Unmanned Aerial System. </p>
Seed and fruit set in Lilium pomponium
<p>Seed set in supplementally hand pollinated flowers and open pollinated flowers, and fruit set in self pollinated flowers</p>
Repackaged Full ITIS Data Set (MS SQL Server)
<p>Retrieved 18 May 2020, from the Integrated Taxonomic Information System (ITIS) (<a href="http://www.itis.gov">http://www.itis.gov</a>). via https://www.itis.gov/downloads/itisMSSql.zip .</p> <p>The archive itisMSSql.zip was unzipped, and repackaged as individual gzipped files. The original zip file is included in this data publication.</p> <p>Files in this publication:</p> <p>1. itisMSSql.zip - file downloaded from https://www.itis.gov/downloads/itisMSSql.zip on 18 May 2020</p> <p>2. Files ending with .gz (e.g., taxonomic_units.gz, taxonomic_units.gz, synonym_links.gz) - repackaged, gzipped, content of itisMSSql.zip</p> <p> </p> <p> </p>
Data Sets for Utilizing Graceful Failure as An Opportunity for Flood Mitigation Downstream to Protect Communities and Infrastructure
<p>This spreadsheet provides the volume analysis calculations associated with the project. This project focused on exploring the potential feasibility to utilize other locations along the inland waterway system where “graceful failure” or planned breach of levees may be used as a means of flood protection for downstream communities and infrastructure. Spatial analysis techniques were used with development of specific criteria to screen national-level data sets to identify probable locations for such mitigative approaches. The criteria were primarily focused on identifying non-urbanized, non-developed land where intentional flooding for storage of flood waters would minimize impacts. Each location that was identified as a potential candidate was further evaluated for capacity for flood water detention. A consolidated set of areas were identified that could provide some storage capacity for flood mitigation. Additional engineering and localized analysis would be necessary to vet the areas for actual storage implementation. However, this study provides an example of an unconventional approach to flood mitigation on inland waterways which could reduce the need for disaster response and assist in transportation planning during extreme flood conditions.</p>
A set of immunohistochemistry (IHC) images from the human protein atlas (HPA)
<p>A set of immunohistochemistry (IHC) images from the human protein atlas (HPA)</p>
Financial data set used in INFORE project
<p>The data set contains exchange price data from different exchanges. The time span ranges from 01/01/2019 until 12/31/2019. Several Stock-, Future-, Index-, Commodity- and Currency-markets are covered.</p> <p>The data comes as tick by tick data (sub folder 'quotes') as well as condenced data (condenced to 1 -minute-format; in sub folder 'history').</p>
DATA SET - Sublethal exposure to deltamethrin impairs maternal egg care in the European earwig Forficula auricularia
<p>Data set of the manuscript entitled "Sublethal exposure to deltamethrin impairs maternal egg care in the European earwig Forficula auricularia" and published in the journal Chemosphere.</p>
RibFrac Dataset: A Benchmark for Rib Fracture Detection, Segmentation and Classification (Tuning/Validation Set)
<p>RibFrac dataset is a benchmark for developping algorithms on rib fracture detection, segmentation and classification. We hope this large-scale dataset could facilitate both clinical research for automatic rib fracture detection and diagnoses, and engineering research for 3D detection, segmentation and classification.</p> <p>This is the Tuning Set (a.k.a. Validation Set in machine learning terminology) of RibFrac dataset, including 80 CTs and the corresponding annotations. Files include:</p> <ol> <li>ribfrac-val-images.zip: 80 chest-abdomen CTs in NII format (nii.gz).</li> <li>ribfrac-val-labels.zip: 80 annotations in NII format (nii.gz).</li> <li>ribfrac-val-info.csv: labels in the annotation NIIs. <ul> <li>public_id: anonymous patient ID to match images and annotations.</li> <li>label_id: discrete label value in the NII annotations.</li> <li>label_code: 0, 1, 2, 3, 4, -1 <ul> <li>0: it is background</li> <li>1: it is a displaced rib fracture</li> <li>2: it is a non-displaced rib fracture</li> <li>3: it is a buckle rib fracture</li> <li>4: it is a segmental rib fracture</li> <li>-1: it is a rib fracture, but we could not define its type due to ambiguity, diagnosis difficulty, etc. Ignore it in the classification task. </li> </ul> </li> </ul> </li> </ol> <p> </p> <p>If you find this work useful in your research, please acknowledge the RibFrac project teams in the paper and cite this project as:</p> <p><em>Liang Jin, Jiancheng Yang, Kaiming Kuang, Bingbing Ni, Yiyi Gao, Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, Hui Kang, Jiajun Chen, Ming Li. Deep-</em><em>Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet. EBioMedicine (2020). (<a href="https://doi.org/10.1016/j.ebiom.2020.103106">DOI</a>)</em></p> <p>or using bibtex</p> <p><em>@article{ribfrac2020,<br> title={Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet},<br> author={Jin, Liang and Yang, Jiancheng and Kuang, Kaiming and Ni, Bingbing and Gao, Yiyi and Sun, Yingli and Gao, Pan and Ma, Weiling and Tan, Mingyu and Kang, Hui and Chen, Jiajun and Li, Ming},<br> journal={EBioMedicine},<br> year={2020},<br> publisher={Elsevier}<br> }</em></p> <p> </p> <p>The RibFrac dataset is a research effort of thousands of hours by experienced radiologists, computer scientists and engineers. We kindly ask you to respect our effort by appropriate citation and keeping data license.</p> <p> </p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.</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.