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1,393
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1,393 results for “traces”
Lineage tracing and single-cell analysis reveal proliferative Prom1+ tumor-propagating cells and their dynamic cellular transition during liver cancer progression
GEO Series GSE181515. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Single cell RNA sequencing and lineage tracing confirm mesenchyme to epithelial transformation (MET) contributes to repair of the endometrium at menstruation
GEO Series GSE198556. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Lineage Tracing Reveals Clone-Specific Responses to Doxorubicin in Triple-Negative Breast Cancer
GEO Series GSE291679. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.
A human tissue screen identifies a regulator of ER secretion as a brain size determinant [organoid - lineage tracing]
GEO Series GSE151383. Homo sapiens; Mus musculus. 2 samples. Type: Other.
Single cell lineage tracing reveals clonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer
GEO Series GSE228154. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Tracing functional (epi)genomic imprints and their evolutionary origins in human defense antiviral cellular response
GEO Series GSE229445. Homo sapiens; Mus musculus. 156 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Human lineage tracing enabled by mitochondrial mutations and single cell genomics [TF1_clones_scATAC]
GEO Series GSE115211. Homo sapiens. 96 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Single cell lineage tracing of pulmonary endothelial cells in mouse model of Hereditary Hemorrhagic Telangiectasia 2
GEO Series GSE269174. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Clonal tracing reveals the contribution of both cancer-intrinsic and -extrinsic mechanisms to the heterogeneity of responses to immune checkpoint blockade
GEO Series GSE139476. Mus musculus. 26 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Barcode decay Lineage Tracing, BdLT-Seq, unravels lineage-linked transcriptome plasticity [scRNAseq_BdLTseq_HA1ER_F12_clone_3]
GEO Series GSE223489. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Residential Power Traces for Five Houses: the iHomeLab RAPT Dataset
<p><strong>Intro</strong><br> Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for research focussing on (i) local optimization of solar energy consumption and (ii) Non-Intrusive Load Monitoring. To this end, we publish the iHomeLab RAPT dataset consisting of electrical power traces from five houses in the greater Lucerne region in Switzerland spanning a period from 1.5 up to 3.5 years with a sampling frequency of five minutes. For each house the electrical energy consumption of the aggregated household and specific appliances such as dishwasher, washing machine, tumble dryer, hot water boiler, or heating pump were metered. Additionally, the data includes electric production data from PV panels for all five houses, and battery power flow measurement data from two houses. Thermal metadata is also provided for the three houses with a heating pump.</p> <p><strong>Data Description</strong><br> The data is release in two parts: <br> - a preprocessed version, <br> - measured sensor data is collected in files per house <br> - with a consistent sampling frequency of 5 minutes <br> - the raw data <br> - one file per sensor, all data from one house is contained within one folder <br> - with the original sampling frequency </p> <p>A detailed description of the dataset, corresponding metadata and the measurement setup can be found in <br> <em>P. Huber, M. Ott, M. Friedli, A. Rumsch, A. Paice, "Residential Power Traces for Five Houses: the iHomeLab RAPT Dataset".</em><br> Data 2020, 5, 17, <a href="https://doi.org/10.3390/data5010017">https://doi.org/10.3390/data5010017</a>.</p> <p><strong>Code </strong><br> The code to generate the preprocessed version of the dataset can be downloaded alongside the dataset. Check on <a href="https://github.com/ihomelab/RAPT-dataset">GitHub</a> if an updated versions is available.</p>
Testing ritual knot tracing for cognitive priming effects rules out analytic analogy: Core Data Sets
<p>Core data sets analyzed for Studies 1 and 2 in "Testing ritual knot tracing for cognitive priming effects rules out analytic analogy".</p> <p>Note: In keeping with Ryerson University Research Ethics Board protocol #REB 2017-065, data sets are fully anonymized, revealing coded values only and removing all personal information and metadata peripheral to the main study (including reported age, gender, language proficiency, and language usage coding).</p> <p>See main paper and supporting materials for discussion of measures, parameters, conditions, and variables.</p> <p>Corresponding author contact: jpelkey@ryerson.ca</p>
Contact Tracing is Associated with Lower COVID-19 Case Fatality Rates: Evidence from 40 countries
<p> </p> <p>Datasets represent data used in regression analysis.</p>
Case Studies Source Code + Traces
<p>The zip file contains the source code for the four open source systems that were considered in the empirical evaluation of the paper. </p> <p>4 folders will appear after unzipping the zip file, each folder consists of the source code of each program:</p> <p>Each folder contains a subfolder called "Traces" that contains the trace data of this study. You will find the Traces.json and TracesClasses.json within this "Traces" folder within each project.</p>
Test Assets for ckanext-mongodatastore (UC Berkeley Home IP Web Traces)
<p>This is a collection of digital assets, that are required for the evaluation of the CKAN plugin 'ckanext-mongodatastore'.</p> <p>The assets are based on the <a href="https://doi.org/10.5281/zenodo.3749536">UC Berkeley Home IP Web Traces</a>.</p>
Sulfur in New Zealand geothermal systems : insights from stable isotope and trace element analyses of anhydrite from Rotokawa and Ngatamariki geothermal fields.
<p>Anhydrite major and trace element analyses</p>
Data from: Morphometric analysis of graphoglyptid trace fossils in two dimensions: implications for behavioral evolution in the deep sea
Graphoglyptids are deep-marine trace fossils, often found preserved as casts in positive relief on the base of turbidites. Previous analyses of the behavioral evolution of graphoglyptids suggested they were slowly diversifying, becoming optimized, and getting smaller over time until the Late Cretaceous, when a sudden increase in diversification occurred. This current study quantifies the morphology of approximately 400 different graphoglyptid specimens, ranging in age from the Cambrian to the present, in order to evaluate the behavioral evolutionary interpretations made previously. Results from this study indicate that although some general evolutionary patterns can be discerned, they are not as straightforward as previously reported. Different topological categories of trace fossils represent organisms' responses to evolutionary pressures in unique ways. While burrow widths of meandering traces were becoming smaller over time, as predicted by previous workers, the burrow widths of the network traces were becoming smaller only until the Late Cretaceous, when they started to get larger again. The times of significant evolutionary changes in behavior were not consistent among various topological categories, with some morphological features being affected in the Late Cretaceous and others during the beginning of the Eocene. It is likely that the behavioral evolution of graphoglyptids was influenced by deep-marine global influences linked to climate change, glaciation, and deep-ocean warming. These influences affected each topological group uniquely, suggesting that different species or genera of trace makers were creating each of the topological categories. This is contrary to the hypothesis that all graphoglyptids were created by closely related species.
Photos of the modern traces
<p>These are the coordinates and/or photos used in paper "Quantitative Decoding of Ediacaran Locomotory Trace Fossil Morphologies: Evidence for the Emergence of Slender Anterior-Posterior Body Profiles" in Geology. The numbers appended in the name of the coordinate files are the widths of the corresponding trajectory. The coordinates and the widths are recorded in pixels.</p>
Masked AES fixed keys dataset 50k traces
<p>Masked AES-128 power traces with 49k samples.</p> <p>Files :</p> <p>- DL_MaskedAES_fixedkey_49000Samples_50000Traces.trs : trs file containing plaintexts, mask values and ciphertexts.</p> <p>- TRS_Reader.py : python script to read the trs file</p> <p>- real_values : Masked subbytes output values of the first round</p> <p>- timepoints : HW point of interests of each subbyte.</p> <p>- samples_points : Windowed version of the traces. 1k samples around the PoI of each subbyte.</p>
Supplementary Online Data for Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization
<p>Processed data and scripts, as well as the the figures and tables for <em>Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization</em>. The <em>zip</em> file contains three subfolders for <em>Chapter 3</em>, <em>Chapter 4</em>, <em>Chapter 5</em> of <em>Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization</em>. Each subfolder comes with its own <em>README.md</em> further describing its contents.</p> <p>Furthermore the read mappings against <em>Lasallia pustulata</em> individually, as well as the ones used for the <em>anvi´o</em> visualization, which include <em>L. pustulata</em>, <em>Trebouxia sp.</em> as well as the 499 bacterial scaffolds are given. The <em>Trinity</em> RNAseq assemblies (guided and unguided) are given too.<br> </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.