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3,788 results for “indices”

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geo24/100

Predictive Gene Signatures as Strong Prognostic Indicators of the Effectiveness of BCG Immunotherapy

GEO Series GSE19423. Homo sapiens. 48 samples. Type: Expression profiling by array.

openGEO-OpenMar 2010View details →
geo24/100

The trajectory of KoRV-A Evolution Indicates Initial Integration into the Koala Germline Genome Near Coffs Harbour [Adelaide DNA-seq]

GEO Series GSE282117. Phascolarctos cinereus. 10 samples. Type: Other.

openGEO-OpenJan 2025View details →
geo24/100

Activation of tissue-resident NK and conventional NK are fundamentally different as indicated by their particular genesets

GEO Series GSE223677. Mus musculus. 33 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo24/100

Three different in vivo models of synovial sarcoma (xenograft: Fuji; PDX: CTG-0331 and CTG-0771) treated with or without the indicated dose of the EZH2 inhibitor, tazemetostat

GEO Series GSE83479. Homo sapiens. 57 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2016View details →
geo24/100

Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level IV

GEO Series GSE188859. Homo sapiens. 8 samples. Type: Other.

openGEO-OpenNov 2022View details →
geo24/100

Indicated that null segregants lacking transgene have been obtained from the progeny of the backcross of transformants

GEO Series GSE135027. Citrus trifoliata. 8 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenJul 2019View details →
geo24/100

Vitamin D treatment induces in vitro and ex vivo transcriptomic changes indicating anti-tumour effects

GEO Series GSE181644. Homo sapiens. 18 samples. Type: Expression profiling by array.

openGEO-OpenJun 2022View details →
geo24/100

Integrative analysis of lncRNAs, mRNAs and miRNAs indicates the neurodevelopmental dysfunction in the hippocampus of gut microbiota-dysbiosis mice

GEO Series GSE189234. Homo sapiens; Mus musculus; Rattus norvegicus. 12 samples. Type: Non-coding RNA profiling by array; Expression profiling by array.

openGEO-OpenDec 2021View details →
geo24/100

LTA4H extensively associates with mRNAs and lncRNAs indicative of its novel regulatory targets

GEO Series GSE206470. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo24/100

The Regulation of IFN Type I Pathway Related Genes RSAD2 and ETV7 Specifically Indicate Antibody-Mediated Rejection After Kidney Transplantation

GEO Series GSE120649. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2018View details →
geo24/100

The study of nascent RNA transcripts in asynchronous cells and cells released from mitosis at the indicated timepoints between Smarce1- MD (R42A) and Smarce1- MD mESCs.

GEO Series GSE189559. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

Effects of atmospheric ammonia on the production performance, serum biochemical indices, and liver RNA-seq data of laying ducks

GEO Series GSE144924. Anas platyrhynchos. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo24/100

Expression profiles of lncRNAs, miRNAs, and mRNAs and interaction analysis indicate their potential involvement during testicular fusion in Spodoptera litura

GEO Series GSE201953. Spodoptera litura. 9 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

Accelerating early anti-TB drug discovery by creating mycobacterial indicator strains that predict mode of action [Mycobacterium tuberculosis]

GEO Series GSE107831. Mycobacterium tuberculosis H37Rv. 36 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2018View details →
geo24/100

Xenopus Piwi protein associated transcripts indicate regulation beyond transposons

GEO Series GSE63228. Xenopus tropicalis; Xenopus laevis. 11 samples. Type: Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenNov 2015View details →
zenodo24/100

Data set of resilience indices to drought and prescribed burning of Pinus nigra ssp. salzmannii and P. sylvestris L. trees

<p>Data on resilience and resistance indices to drought and burning inferred from tree ring width and carbon 13 isotopes for&nbsp;burned and unburned&nbsp;<em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris </em>trees<em>.</em>The dataset contains two files:</p> <p>TreeGrowth.txt:&nbsp;Data on&nbsp;resilience and&nbsp;resistance indices to drought and prescribed burning as well as the&nbsp;ratio of latewood to earlywood. Indices are inferred from total tree-ring, earlywood, and latewood widths. Included variables:</p> <ul> <li>&nbsp;Idsite (factor): code to identify uniquely each locality. Two levels: Mirav&eacute; (1) and Lloreda (2).</li> <li>&nbsp;Idplot (factor): code to identify uniquely burned plots. Four levels: Mirav&eacute;-Fall (1), Mirave-Spring (2), Lloreda-Fall (3) and Lloreda-Spring (4).</li> <li>Treatment (factor): whether the plot was burned or not. Two levels: &nbsp;control or left unburned (C) or burned (B)</li> <li>BurningSeason (factor): season of the burn. Three levels: &nbsp;control or left unburned (C), fall burn (F) or spring burn (S)</li> <li>Sp (factor): species. Two levels: &nbsp;<em>Pinus sylvestris</em> (ps) or<em> Pinus nigra </em>(pn)</li> <li>TreeCode (numeric): code to identify trees in the field</li> <li>dbh (numeric): diameter at breast height (cm)</li> <li>c12 (numeric): competition index before burning</li> <li>rci15 (numeric): release from tree competition 2 years post-burning calculated as the difference between pre (CI12) and post-burning competition (CI15) indices relative to pre-burning levels&nbsp;</li> <li>bchmin (numeric): minimum bole scorch height (cm)</li> <li>bchmax (numeric): maximum bole scorch height (cm)</li> <li>whiteAshes (numeric): white ashes after burning (%, in 1m radius from tree center)</li> <li>Resistance (numeric): Average &nbsp;basal area increment (BAI) during the stress period (drought 2012 and prescribed burning 2013) divided by the average BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR (numeric): Average total tree ring BAI of the two years after the stress period (2014 and 2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR14 (numeric): Total tree ring BAI of the first year after the stress period (2014) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR15 (numeric): Total tree ring BAI of the second year after the stress period (2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW (numeric): Average earlywood BAI of the two years after the stress period (2014 and 2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW14 (numeric): &nbsp;Earlywood BAI of the first year after the stress period (2014) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW15 (numeric): Earlywood BAI of the second year after the stress period (2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW (numeric): Average latewood BAI of the two years after the stress period (2014 and 2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW14 (numeric): Latewood BAI of the first year after the stress period (2014) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW15 (numeric): Latewood BAI of the second year after the stress period (2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>preLWEW (numeric): mean pre-stress ratio of latewood to earlywood &nbsp;calculated for the period 2006-2011</li> <li>difLWEW (numeric): &nbsp;mean post-stress latewood:earlywood (2014-2015) minus mean pre-stress latewood:earlywood (2006-2011)</li> </ul> <p>d13c.txt:&nbsp;Early and late-wood carbon 13 isotope&nbsp;from 2011 to 2015 for <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris</em> burned in spring and fall in year 2013&nbsp;at two sites.&nbsp;</p> <ul> <li>Idsite (factor): code to identify uniquely each locality. Two levels: Mirav&eacute; (1) and Lloreda (2).</li> <li>Sp (factor): species. Two levels: &nbsp;Pinus sylvestris (ps) or Pinus nigra (pn)</li> <li>BurningSeason (factor): season of the burn. Three levels: &nbsp;control or left unburned (C), fall (F) or spring (S)</li> <li>TreeCode (factor): code to identify trees in the field.&quot;Pool&quot; means that a pool of 5 individuals was used to determine carbon 13 isotope.</li> <li>SeasonalGrowth (factor): seasonal wood growth. Two levels: earlywood (E) and latewood (L).</li> <li>year (numeric): calendar year.</li> <li>d13c (numeric): carbon 13 isotope<br> &nbsp;</li> </ul>

opencc-by-4.0Dec 2019View details →
zenodo24/100

Keep it real: Selecting realistic sets of urban green space indicators - Supplementary data

<p>This excel sheet contains, for each of the four studied cities, the conceptual framework that is described in the paper &quot;Keep it real: Selecting realistic sets of urban green space indicators&quot;.</p> <p>Each of the cities first listed all possible indicators that they could think of. Next, they indicated how each of those indicators relates to each of the KPI; i.e. whether the indicator&nbsp;can not at all (0), somewhat (1) or perfectly measure (2) the KPI. Lastly, the city authorities indicated whether the indicators are implemented of not, and scored some measures of indicator quality (relevance, feasibility, clarity, and credibility)</p>

opencc-by-4.0Feb 2020View details →
zenodo24/100

FIGURE 3 in Body Mass, Bone "Strength Indicator," and Cursorial Potential of Tyrannosaurus rex

FIGURE 3. How to kill a Tyrannosaurus rex.

opencc-by-4.0Dec 1995View details →
zenodo24/100

Malaria in High-Resolution: Modelling and Mapping Plasmodium falciparum Parasite Rate using Very-High-Resolution Satellite Derived Indicators in Sub-Saharan African Cities

<p>Metadata, results and supplementary material of the following <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-020-00232-2#Sec28">article</a>.</p> <p>The Out of Bag error of the Kampala Land use product is&nbsp; 18,57%.</p> <p>The Out of Bag error of the Dar es Salaam land use product is 16%.</p> <p>More information on the LC products can be found in <a href="https://zenodo.org/record/3711903#.YGGo0tLiuzU">here</a>&nbsp;and <a href="https://zenodo.org/record/3711905#.YGGtUNLiuzU">here</a>.</p> <p>This research is funded by the Belgian Science Policy through the <a href="http://react.ulb.be/">REACT</a> project.</p> <p>&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo24/100

Subfossil oribatid mite communities indicate Holocene permafrost dynamics in Canadian mires

<p>Original data for article &quot;Subfossil oribatid mite communities indicate Holocene permafrost dynamics in Canadian mires&quot;. Oribatid subfossil data from two permafrost mires in Hudson Bay Lowlands, Canada.</p>

opencc-by-4.0Jun 2020View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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