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1,211 results for “instrument”

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nasa28/100

ATom: Actinic Flux and Photolysis Frequencies from CAFS Instrument, 2016-2018, V2

This dataset contains actinic flux and photolysis frequencies for photodissociation reactions for a variety of chemical species during the four ATom campaigns. Spectrally resolved actinic flux was measured by the down- and up-welling Charged-coupled device Actinic Flux Spectroradiometers (CAFS) from approximately 280-650 nm. Photolysis frequencies were calculated from the actinic flux and published cross sections and quantum yield values for atmospherically relevant molecules. Solar radiation drives the chemistry of the atmosphere, including the evolution of ozone, greenhouse gases, biomass burning, and other anthropogenic and natural trace constituents.

restrictednotspecifiedApr 2025View details →
nasa28/100

GOES-R PLT Lightning Instrument Package (LIP)

The GOES-R PLT Lightning Instrument Package (LIP) dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PDF format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Tropospheric Aerosol Radiative Forcing Observational eXperiment - University of Washington instrumented C-131A aircraft Data Set

TARFOX_UWC131A is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - University of Washington instrumented C-131A aircraft data set. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.

restrictednotspecifiedApr 2025View details →
geo24/100

ATAC-seq data in MEF and mESC sequenced by BGI DNBSEQ-G400 platform and Illumina HiseqX10 instruments

GEO Series GSE201577. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2022View details →
geo24/100

CTLA-4 pathway is instrumental in Giant Cell Arteritis

GEO Series GSE236367. Homo sapiens. 34 samples. Type: Expression profiling by array.

openGEO-OpenJul 2023View details →
geo24/100

Proteasome machinery is instrumental in a common gain-of-function program of the p53 missense mutants in cancer.

GEO Series GSE68249. Homo sapiens. 30 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing.

openGEO-OpenApr 2016View details →
geo24/100

Proteasome machinery is instrumental in a common gain-of-function program of the p53 missense mutants in cancer.

GEO Series GSE65458. Homo sapiens. 24 samples. Type: Expression profiling by array.

openGEO-OpenApr 2016View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding [NIH-HEK_perf_Scipio]

GEO Series GSE218206. Mus musculus; Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

Proteasome machinery is instrumental in a common gain-of-function program of the p53 missense mutants in cancer.

GEO Series GSE68248. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2016View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding [PBMC_perf_Scipio]

GEO Series GSE218207. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

Analysis of M229-Par and M229-Res cells by Illumina HiSeq instrument (4000 or equivalent) seq analysis .

GEO Series GSE202118. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2022View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding [scRNA-seq_pancreas_Scipio]

GEO Series GSE218211. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding [scRNA-seq_Cardio_Scipio]

GEO Series GSE218210. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding [scRNA-seq_stopping_Scipio]

GEO Series GSE218209. Homo sapiens; Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding

GEO Series GSE218213. Mus musculus; Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

Proteasome machinery is instrumental in a common gain-of-function program of the p53 missense mutants in cancer

GEO Series GSE66543. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenApr 2016View details →
zenodo24/100

Towards Molecular Musical Instruments: Interactive Sonifications of 17-Alanine, Graphene and Carbon Nanotubes

<p><strong>Supplementary&nbsp;materials for the paper:</strong></p> <p>Thomas J. Mitchell, Alex J. Jones, Michael B. O&rsquo;Connor, Mark D. Wonnacott, David R. Glowacki, and Joseph Hyde. 2020. Towards Molecular Musical Instruments: Interactive Sonifications of 17-Alanine, Graphene and Carbon Nanotubes. In Proceedings of the 15th International Audio Mostly Conference (AM&rsquo;20), September 15&ndash;17, 2020, Graz, Austria. ACM, New York, NY, USA, 8 pages.&nbsp;<a href="https://gate.sc/?url=https%3A%2F%2Fdoi.org%2F10.1145%2F3411109.3411143&amp;token=4f57ce-1-1596010611306">doi.org/10.1145/3411109.3411143</a></p> <p><strong>17-Alanine.mov:</strong></p> <p>Video was created by Alex J. Jones at the University of Bristol</p> <p>An immersive and interactive VR view of simulated 17-Alanine molecule with accompanying sonification.</p> <p><strong>GrapheneMusic.aif:</strong></p> <p>Composed by Joseph Hyde (<a href="https://gate.sc/?url=https%3A%2F%2Fwww.josephhyde.co.uk%2F&amp;token=21d2c3-1-1596010611306">www.josephhyde.co.uk/</a>)</p> <p><strong>Example1.wav:</strong></p> <p>Molecule: 17-Alanine<br> Friction: 60<br> Timestep: 0.5<br> A: 0.1 D: 0.1 S: 1 R: 3<br> Wavetable Method: Relative<br> Note: C3<br> Velocity: 127<br> Temperature: 5<br> Automation: None</p> <p><strong>Example2. wav:</strong></p> <p>Molecule: 17-Alanine<br> Temperature: various<br> Friction: 60<br> Timestep: 0.5<br> Note: C3<br> Velocity: 127<br> A: 0.1 D: 0.1 S: 1 R: 3<br> Wavetable Method: Relative<br> Automation: Temperature</p> <p><strong>Example3.wav:</strong></p> <p>Molecule: 17-Alanine<br> Temperature: various<br> Friction: 100<br> Timestep: 0.78<br> Note: C3<br> Velocity: 127<br> A: 0.1 D: 0.1 S: 1 R: 0.5<br> Wavetable Method: Relative<br> Automation: Temperature</p>

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

Instrumental background music mitigates self-control fatigue and improves performance in prolonged mental work (Dataset)

<p>This repository contains the raw data used for a research study titled "Instrumental Background Music Facilitates Task Endurance and Cognitive Performance: Insights from Ego Depletion". This repository contains two Microsoft Excel files, as follows:</p> <ul> <li><em>ed_music_feature_analysis.csv</em></li> <li><em>ed_raw_data.xlsx</em></li> <li><em>ed_appendices [Anonymous].pdf</em></li> </ul> <p><strong>Files Description</strong></p> <p><em><strong>File: ed_music_feature_analysis.csv</strong></em></p> <p>This file contains the specific feature analysis for each music stimulus (N = 17) used in the experiment. These features (retrieved from Spotify's "Get Track's Audio Features" API) are:</p> <ul> <li>energy level</li> <li>valence</li> <li>tempo</li> </ul> <p>The Spotify ID of each music track is also recorded in this file, to facilitate future replication of the experiment.</p> <p><em><strong>File: ed_raw_data.xlsx</strong></em></p> <p>This file contains the raw data from the experiment (N = 41). There are two tabs in this file. The "data" tab records all raw data, whilst the "index" tab contains all the abbreviations (with their explanations) used in the document, and when relevant, a brief description of how the outcome measures were calculated.</p> <p>In the "data" tab, each row corresponds to a single participant and each column to a single variable. The variables about sample characteristics include:</p> <ul> <li>Age</li> <li>Self-identified gender</li> <li>Area of study</li> <li>Level of English proficiency</li> <li>Whether the participant has specific neurodiversity</li> <li>Personality traits</li> <li>Musicianship</li> <li>Self-reported everyday music listening habits</li> <li>Self-reported perceived (positive and negative) impact of music listening while studying</li> </ul> <p>The variables about experimental conditions and outcomes measures include:</p> <ul> <li>Each participant's assigned experimental condition (music or control)</li> <li>Reading comprehension performance (measured in terms of the number of questions answered and a final score)</li> <li>Pre- and post-reading positive affect, negative affect, and motivation for cognition</li> <li>(for the music condition) personal perception of the music they heard during the experiment</li> <li>Level of ego depletion (measured based on Stroop interference)</li> <li>Verbal working memory (measured based on Reading Span Task performance)</li> <li>Divided attention capacity (measured based on Category Switch Task performance)</li> </ul> <p><em>Notes.</em></p> <p><em>1. Empty cells in between data are missing data (due to participant absentees).</em></p> <p><em>2. See the "index" tab in&nbsp;<strong>ed_raw_data.xlsx&nbsp;</strong>for&nbsp;</em>a&nbsp;<em>detailed presentation and explanation of each recorded data.</em></p> <p><strong><em>File: </em><em>ed_appendices [Anonymous].pdf</em></strong></p> <p>This file contains the four appendices mentioned in the main article.</p>

restrictedcc-by-4.0Nov 2023View details →
zenodo24/100

Figure 6 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666

Figure 6 Nationality of attendees of the Second Training School.

opencc-by-4.0Nov 2021View details →
zenodo24/100

Figure 7 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666

Figure 7 Gender Diversity distribution of Training School attendees.

opencc-by-4.0Nov 2021View details →

ScienceDex guides

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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