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885 results for “data strategy”
Data from: Properties of different selection signature statistics and a new strategy for combining them
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Data from: Optimized application of the secreted Nano-luciferase reporter system using an affinity purification strategy
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Data from: Effects of demographic stochasticity and life-history strategies on times and probabilities to fixation
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A network-based strategy for prioritizing hits from chemical screening data by leveraging genetic, epigenetic and transcriptional datasets
GEO Series GSE70810. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
PAtCh-Cap: input strategy for improving analysis of ChIP-exo data sets and beyond
GEO Series GSE79563. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ABS richt model waste characterization for different sampling strategies - NMR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw NMR data of the model waste from the different sampling approaches. The content is:</p> <ul> <li> <p>One Excel file containing NMR data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> </li> <li> <p>One Excel file containing NMR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> </li> <li> <p>One Readme file containing further information about the methodology and nomenclature </p> </li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
2023 NGN - Management strategies for wheat powdery mildew in southern NSW Data
<p>The 2023 NGN project <em>“Management strategies for wheat powdery mildew in southern NSW”</em> focused on validating cost-effective fungicide resistance management strategies for wheat powdery mildew (WPM), a disease capable of causing up to 25% yield loss in Australia. WPM is particularly problematic in western, lower-rainfall areas of NSW during wetter-than-average seasons and under irrigation, especially as many commonly grown wheat varieties are poorly resistant. The dataset includes trial results from two NSW research sites—Balldale and irrigated Hillston—and is organised by site and trial name. Excel spreadsheets contain original data and derived calculations, such as plant density, with keys to explain units and codes. A PDF report outlines the experimental design, treatment summaries, and environmental conditions affecting trial interpretation. Assessments were conducted using GDM ARM software, and each data sheet includes contextual information such as crop growth stage, assessment details, and explanatory notes. This project was supported by GRDC and made possible through the contributions of growers and partners, including FAR Australia and AgGrow Agronomy and Research.</p>
Input Strategy for Improving Analysis of ChIP-exo Data and Beyond
GEO Series GSE79565. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Oxygen induced complication of prematurity: from experimental data to prevention strategy
GEO Series GSE32472. Homo sapiens. 299 samples. Type: Expression profiling by array.
Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
GEO Series GSE77961. Mus musculus. 16 samples. Type: Methylation profiling by high throughput sequencing.
Empirical Data, Survey and Letter of Consent of the Study: Brouillet C. et al. "Soil extraction as an adaptation strategy to climate change - a focus on urban ecosystem services"
<ul> <li>Empirical Data (quantitative part of the results), Survey and Letter of Consent</li> <li>From the study entitled "Soil extraction as an adaptation strategy to climate change - a focus on urban ecosystem services" Brouillet C. et al. </li> <li>All documents are in French.</li> </ul>
PP-recyclates characterization after different sampling and recycling strategies - Tensile tests data
<p>The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates.</p> <p>This dataset contains tensile testis raw data of PP-recyclates from different recycling strategies. The content is:</p> <ul> <li>One Excel file containing rensile testing data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p> <p> </p>
Supplementary data, Global strategy for the conservation and use of pea genetic resources
<p>Supplementary data, Global strategy for the conservation and use of pea genetic resources</p>
ABS-rich model waste characterization for different sampling strategies – ATR FTIR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw ATR-FTIR data of the model waste from the different sampling approaches. The content is:</p> <ul> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on extrusion and measurement protocol</li> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature </li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p> <p> </p> <p> </p>
ABS-rich model waste characterisation for different sampling strategies – MFR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw MFR data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing MFR data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing MFR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
ABS-rich model waste characterisation for different sampling strategies – TGA data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw TGA data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing TGA data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing TGA data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
ABS-rich model waste characterisation for different sampling strategies – DSC data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw DSC data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing DSC data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing DSC data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon European project (101058670)</p>
ABS-rich model waste characterization for different sampling strategies - XRF data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains XRF data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing XRF data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing XRF data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Readme file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Dalla Vecchia LA, Ranucci M, Porta A. Comparison of Causal and Non-causal Strategies for the Assessment of Baroreflex Sensitivity in Predicting Acute Kidney Dysfunction After Coronary Artery Bypass Grafting. Front Physiol. 2019 Oct 18;10:1319. doi: 10.3389/fphys.2019.01319. PMID: 31681021; PMCID: PMC6813722.
<p>Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Dalla Vecchia LA, Ranucci M, Porta A. Comparison of Causal and Non-causal Strategies for the Assessment of Baroreflex Sensitivity in Predicting Acute Kidney Dysfunction After Coronary Artery Bypass Grafting. Front Physiol. 2019 Oct 18;10:1319. doi: 10.3389/fphys.2019.01319. PMID: 31681021; PMCID: PMC6813722.</p> <p>This is the abstract:</p> <p>Coronary artery bypass graft (CABG) surgery may lead to postoperative complications such as the acute kidney dysfunction (AKD), identified as any post-intervention increase of serum creatinine level. Cardiovascular control reflexes like the baroreflex can play a role in the AKD development. The aim of this study is to test whether baroreflex sensitivity (BRS) estimates derived from non-causal and causal approaches applied to spontaneous systolic arterial pressure (SAP) and heart period (HP) fluctuations can help in identifying subjects at risk of developing AKD after CABG and which BRS estimates provide the best performance. Electrocardiogram and invasive arterial pressure were acquired from 129 subjects (67 ± 10 years, 112 males) before (PRE) and after (POST) general anesthesia induction with propofol and remifentanil. Subjects were divided into AKDs (<em>n</em> = 29) or no AKDs (noAKDs, <em>n</em> = 100) according to the AKD development after CABG. The non-causal approach assesses the transfer function from the HP-SAP cross-spectrum in the low frequency (LF, 0.04-0.15 Hz) band. BRS was estimated according to three strategies: (i) sampling of the transfer function gain at the maximum of the HP-SAP squared coherence in the LF band; (ii) averaging of the transfer function gain in the LF band; (iii) sampling of the transfer function gain at the weighted central frequency of the spectral components of the SAP series dropping in the LF band. The causal approach separated the two arms of cardiovascular control (i.e., from SAP to HP and <em>vice versa</em>) and accounted for the confounding influences of respiration via system identification and modeling techniques. The causal approach provided a direct estimate of the gain from SAP to HP by observing the HP response to a simulated SAP rise from the identified model structure. Results show that BRS was significantly lower in AKDs than noAKDs during POST regardless of the strategy adopted for its computation. Moreover, all the BRS estimates during POST remained associated with AKD even after correction for demographic and clinical factors. Non-causal and causal BRS estimates exhibited similar performances. Baroreflex impairment is associated with post-CABG AKD and both non-causal and causal methods can be exploited to improve risk stratification of AKD after CABG.</p>
Lu Liu. Growth and defence in a unicellular microalga: the coexistence of r and K strategy. [Data set]. Zenodo.
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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.