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1,610 results for “ratio”
Wood alpha-cellulose stable C and O isotope ratios from New Hampshire and Vermont
To quantify the effects of tree height and canopy position on delta13C and delta18O of wood cellulose, we sampled 399 trees and saplings of eight species at nine forest stands across New Hampshire and Vermont, along with nearby saplings growing in the open. Samples were collected in 2017-18, and we analyzed the combined alpha-cellulose from growth rings formed in 2013-2017 for each tree. Carbon data are published in: Vadeboncoeur, M., K. Jennings, A. Ouimette, and H. Asbjornsen. (2020) Correcting tree-ring d13C time series for tree-size effects in eight temperate tree species. Tree Physiology. https://doi.org/10.1093/treephys/tpz138
Data and code from "No evidence of sex ratio manipulation by black-throated blue warblers in response to food availability" Kaiser et al. 2023 Behavioral Ecology and Sociobiology
This dataset is published in support of "No evidence of sex ratio manipulation by black-throated blue warblers in response to food availability" by Kaiser et al. 2023 in Behavioral Ecology and Sociobiology. Data and code to test the assumptions and key predictions of the Trivers-Willard hypothesis, which proposes that females produce more sons or daughters depending on food availability, in the black-throated blue warbler at the Hubbard Brook Experimental Forest, NH, 2007-2012. Datasets support analyses of sex ratio bias at both the nest and nestling levels. Data tables support the comparison of the ratio of variances in the scaled pre-fledging mass of male and female nestlings using an F test and reproduction of Figures 2a and 2b. Figures are those used in the published manuscript. Code supports the calculation of offspring sex ratio bias at the population level, and considering separately both low- and high-quality habitats, using the Neuhäuser test, statistical models testing the assumptions of the Trivers-Willard hypothesis, effects of food availability and parental provisioning on offspring sex ratio, and effects of food availability on pre-fledging nestling mass of sons and daughters, and a power analysis to determine the power to detect an effect of food supplementation on sex ratio. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the US Forest Service, Northern Research Station.
Net community production (NCP) and gross oxygen production (GOP), based on oxygen-argon ratios and triple oxygen isotopes, from seasonal NES-LTER Transect cruises in 2020
This data package provides net community production (NCP) and gross oxygen production (GOP, a measure of gross primary production) for the winter, spring, and summer Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises in 2020. Two tables are provided: a high-frequency table with NCP rates calculated from measurements of O2/Ar made continuously by an at-sea equilibrator inlet mass spectrometer (EIMS), and a low-frequency table with both NCP and GOP rates calculated for discrete samples measured post-cruise. The GOP rates were calculated from triple O2 isotopic (TOI) ratios. These data are derived from the EIMS and TOI data for the NES-LTER Transect cruises in EDI data package knb-lter-nes.6.3.
Net community production (NCP) and gross oxygen production (GOP), based on oxygen-argon ratios and triple oxygen isotopes, from seasonal NES-LTER Transect cruises in 2021
This data package provides net community production (NCP) and gross oxygen production (GOP, a measure of gross primary production) for the winter and summer Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises in 2021. Two tables are provided: a high-frequency table with NCP rates calculated from measurements of O2/Ar made continuously by an at-sea equilibrator inlet mass spectrometer (EIMS), and a low-frequency table with both NCP and GOP rates calculated for discrete samples measured post-cruise. The GOP rates were calculated from triple O2 isotopic (TOI) ratios. These data are derived from the EIMS and TOI data for the NES-LTER Transect cruises in EDI data package knb-lter-nes.6.3.
Net community production (NCP) and gross oxygen production (GOP), based on oxygen-argon ratios and triple oxygen isotopes, from seasonal NES-LTER Transect cruises in 2022
This data package provides net community production (NCP) and gross oxygen production (GOP, a measure of gross primary production) for the winter and summer Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises in 2022. Two tables are provided: a high-frequency table with NCP rates calculated from measurements of O2/Ar made continuously by an at-sea equilibrator inlet mass spectrometer (EIMS), and a low-frequency table with both NCP and GOP rates calculated for discrete samples measured post-cruise. The GOP rates were calculated from triple O2 isotopic (TOI) ratios. These data are derived from the EIMS and TOI data for the NES-LTER Transect cruises in EDI data package knb-lter-nes.6.3.
Adelie penguin 1:2 chick nest ratio, 1991-2024
The fundamental long-term objective of the seabird component of the Palmer LTER (PAL) has been to identify and understand the mechanistic processes that regulate the mean fitness (population growth rate) of regional penguin populations. Since the inception of PAL, Adélie penguin populations have effectively collapsed, gentoo penguin populations have increased dramatically and chinstrap penguin populations have remained relatively stable. These trends are spatially and temporally coherent with regional warming and decreasing sea ice duration. Adélie penguins are an ice-obligate polar species whose life history is intimately linked to the presence of sea ice, while chinstrap and gentoo penguins are ice-intolerant species whose life histories evolved in the sub-Antarctic, where sea ice is a less permanent feature of the marine ecosystem. The PAL study region includes five main islands on which Adélie penguin colonies have historically occurred, with each island containing a different number of spatially segregated sub-colonies. These colonies are censused to determine the total number of nests and chicks produced each year, and breeding success. Diet samples are acquired to understand diet composition (e.g., krill, fish) and krill length-frequencies. In general, krill constitute the most important component of the summer diets by mass of these three penguin species, but changes in PAL krill abundances have exhibited no long-term trends and thus far, have failed to explain the divergent patterns in penguin populations evident in our time series. Chick fledging masses are recorded as a cumulative measure of climate, weather, diet, and parental influences on chick health at the end of the breeding season. These data have provided valuable insights into the marine and terrestrial factors that influence Adélie penguin population fitness. No data were collected during the 2021-2022 season due to the Palmer Station pier rebuild.
Dataset for the Intensity Ratio Nuclei Cytoplasm Tool
<p>Pairs of fluorescently stained images of nuclei and cytoplasm. Example input data for the Intensity Ratio Nuclei Cytoplasm Tool.</p>
Higher-Mode Contact Resonance Operation of a High-Aspect- Ratio Piezoresistive Cantilever Microprobe (Data)
<p>Raw data, Ansys Workbench Projects and figures used for the article "Higher-Mode Contact Resonance Operation of a High-Aspect- Ratio Piezoresistive Cantilever Microprobe", published in the proceedings of SMSI 2020, which did not take place because of Covid-19 virus pandemic.</p> <p>The data can be opened by a text editor<br> Ansys projects are compressed using 7-Zip and can be opened by Ansys Workbench.</p>
Plotting sex differences in genetics of waist-hip ratio
<p>For plotting results of genome-wide association study results on waist-hip ratio, originally by Shungin et al 2015 doi: 10.1038/nature14132, to be used in a commissioned review article for eLS http://www.els.net/WileyCDA/ , to be published soon, and currently available as an unreviewed, un-edited pre-print on bioarxiv http://dx.doi.org/10.1101/063651</p>
Band Ratio Mosaics from Airborne Hyperspectral Data at Aramo, Spain
<p> </p> <table> <tbody> <tr> <td> <h2>Metadata information</h2> </td> <td> </td> </tr> <tr> <td><strong>Full Title</strong></td> <td>Band Ratio Mosaics from Airborne Hyperspectral Data at Aramo, Spain</td> </tr> <tr> <td><strong>Abstract</strong></td> <td> <p>This dataset comprises results from the S34I Project, derived from processing airborne hyperspectral data acquired at the Aramo pilot site in Spain. Spectral Mapping Services (SMAPS Oy) conducted the airborne data acquisition in May 2024 using the Specim AisaFENIX sensor (covering VNIR-SWIR spectral ranges) over 17 flight lines. SMAPS performed geometric correction, radiometric calibration to reflectance, and atmospheric correction of the data. Subsequent processing steps included spectral smoothing with a Savitzky-Golay filter, cloud masking, bad pixel corrections, and hull correction (continuum removal).</p> <p>Manual processing and interpretation of hyperspectral data is a challenging, time-consuming, and subjective task, necessitating automated or semi-automated approaches. Therefore, we present a semi-automated workflow for large-scale interpretation of hyperspectral data, based on a combination of state-of-the-art methodologies. This dataset results from the calculation of a series of band ratios applied to the images and their subsequent mosaicking into a TIFF file. The mosaics are delivered as georeferenced TIFF files that cover approximately 97 km² with a spatial resolution of 1.2 m per pixel. The NoData value is set to -9999, representing areas of cloud removal or missing flight lines. The projected coordinate system is UTM Zone 30 Northern Hemisphere WGS 1984, EPSG 4326.</p> <p>Hyperspectral band ratios involve applying mathematical operations (such as division, subtraction, addition, or multiplication) among the reflectance values of different spectral bands. This technique enhances subtle variations in how materials absorb and reflect light across the electromagnetic spectrum. These variations are caused by electronic transitions, vibrations of chemical bonds (including -OH, Si-O, Al-O, and others), and lattice vibrations within the material's crystal structure.</p> <p>By creating these mathematical combinations, specific absorption features are emphasized, generating unique spectral fingerprints for different materials. However, these fingerprints alone cannot definitively identify a mineral, as different minerals may share similar absorption features due to common chemical bonds or crystal structures. Spectral geologists use band ratios as a tool to highlight potential areas of interest, but they must integrate this information with other geological knowledge and analyses to accurately interpret the mineralogy of an area. </p> <p>This dataset includes nine spectral band ratios. The mathematical formulas used to calculate each ratio are provided below:</p> <p> </p> <p>BR1 target Carbonate / Chlorite / Epidote</p> <p>BR1 = ((C7 + C9) / (C8))</p> <p>C7= Mean of bands between 2246.6 and 2257.55 nm</p> <p>C8= Mean of bands between 2339 and 2345 nm</p> <p>C9= Mean of bands between 2400 and 2410 nm</p> <p> </p> <p>BR2 target Chlorite</p> <p>BR2 = ((Cl1 + Cl2) / (Cl2))</p> <p>Cl1 = Mean of bands between 2191.93 and 2197.4 nm</p> <p>Cl2 = Mean of bands between 2246.63 and 2257.55 nm</p> <p> </p> <p>BR3 target Clay</p> <p>BR3 = ((C1 + C2) / (C2))</p> <p>C1 = Mean of bands between 1590.32 and 1612.56 nm</p> <p>C2 = Mean of bands between 2191.93 and 2208.35 nm</p> <p> </p> <p>BR4 target Dolomite</p> <p>BR4 = ((C6 + C8) / (C7))</p> <p>C6= Mean of bands between 2186 and 2191 nm</p> <p>C7= Mean of bands between 2246.6 and 2257.55 nm</p> <p>C8= Mean of bands between 2339 and 2345 nm</p> <p> </p> <p>BR5 target Fe2</p> <p>BR5 = ((Fe2n + Fe2d) / (Fe2d))</p> <p>Fe2n = Mean of bands between 721.85 and 742.48 nm</p> <p> </p> <p>BR6 target Fe3</p> <p>BR6 = ((Fe3n - Fe3d) / (Fe3n + Fe3d))</p> <p>Fe3n = Mean of bands between 776.87 to 811.26 nm</p> <p>Fe3d = = Mean of 3 bands around 610 nm</p> <p> </p> <p>BR7 target = Kaolinite / clays</p> <p>BR7 = ((K1 + K2) / (K3 + K4))</p> <p>K1 = Mean of bands between 2082.27 and 2104.23 nm</p> <p>K2 = Mean of bands between 2104.23 and 2115.2 nm</p> <p>K3 = Mean of bands between 2159.07 and 2164.55 nm</p> <p>K4 = Mean of bands between 2202.88 and 2208.35 nm</p> <p> </p> <p>BR8 target Kaolinite2 / clays</p> <p>BR8 = ((K1_2 + K2_2) / (K2_2))</p> <p>K1_2 = Mean of bands between 2197.4 and 2219.29 nm</p> <p>K2_2 = Mean of bands between 2159.07 and 2170.03 nm</p> <p> </p> <p>BR9 target NDVI (Normalized Difference Vegetation Index)</p> <p>BR9 = ((NIR - Red) / (NIR + Red))</p> <p>NIR= Mean of bands between 776.87 and 811.26 nm</p> <p>Red = Mean of bands between 666.87 to 680.6 nm</p> </td> </tr> <tr> <td>Keywords</td> <td>Earth Observation, Remote Sensing, Hyperspestral Imaging, Automated Processing, Hyperspectral Data Processing, Mineral Exploration, Critical Raw Materials</td> </tr> <tr> <td>Pilot area</td> <td>Aramo</td> </tr> <tr> <td>Language</td> <td> <p>English</p> </td> </tr> <tr> <td>URL Zenodo</td> <td>https://zenodo.org/uploads/14193286</td> </tr> <tr> <td><strong>Temporal reference</strong></td> <td> </td> </tr> <tr> <td>Acquisition date (dd.mm.yyyy)</td> <td>01.05.2024</td> </tr> <tr> <td>Upload date (dd.mm.yyyy)</td> <td>20.11.2024</td> </tr> <tr> <td><strong>Quality and validity</strong></td> <td> </td> </tr> <tr> <td>Fromat</td> <td>GeoTiff</td> </tr> <tr> <td>Spatial resolution</td> <td>1.2m </td> </tr> <tr> <td>Positional accuracy</td> <td>0.5m </td> </tr> <tr> <td>Coordinate system</td> <td>EPGS 4326</td> </tr> <tr> <td><strong>Access and use constrains</strong></td> <td> </td> </tr> <tr> <td>Use limitation</td> <td>None</td> </tr> <tr> <td>Access constraint</td> <td>None</td> </tr> <tr> <td>Public/Private</td> <td>Public</td> </tr> <tr> <td><strong>Responsible organisation</strong></td> <td> </td> </tr> <tr> <td>Responsible Party</td> <td>Beak Consultants GmbH</td> </tr> <tr> <td>Responsible Contact</td> <td>Roberto De La Rosa</td> </tr> <tr> <td><strong>Metadata on metadata</strong></td> <td> </td> </tr> <tr> <td>Contact</td> <td>Roberto.delarosa@beak.de</td> </tr> <tr> <td>Metadata language</td> <td>English</td> </tr> </tbody> </table>
Relative abundance of the CHC extracts of each population replicate's of I. uriae ticks from Iceland after log centered ratio transformation
<p>Relative abundance of the CHC extracts of each population replicate’s of I. uriae ticks from Iceland after log centered ratio transformation.</p>
Progressive ratio in protein-restricted vs. non-restricted rats
<p>These data are from experiments studying motivation in protein-restricted rats using progressive ratio responding for food pellets conducted at University of Leicester, UK. These findings will be published in Chiacchierini et al. (2022) bioRxiv. Detailed methods for the experiment can be found in this paper. Full citation to a peer-reviewed publication is expected to follow. Briefly, data are from operant behavior sessions (FR1, FR3, etc) recorded on Med Associates hardware. Accompanying analysis code as a Jupyter notebook is available on Github (https://github.com/mccutcheonlab/PRPR). </p> <p>The data are provided as a compressed zip file containing the following:</p> <ul> <li>Folder with raw datafiles from experiment using nutritionally-balanced grain pellets (<strong>PRPR_exp1</strong>)</li> <li>Folder with raw datafiles from experiment using protein (35% casein) pellets (<strong>PRPR_exp2</strong>)</li> <li>Excel file with metadata to accompany each raw datafile (<strong>PRPR_metafiles.xls</strong>)</li> </ul> <p>The raw datafiles are Med Associates files in the stripped format. Timestamps of individual lever presses and reward deliveries are included in the raw datafiles and can be extracted but are not used here.</p> <p><strong>PRPR_metafiles.xls</strong> contains sheets (<em>metafile_exp1</em> and <em>metafile_exp2</em>) with the following information for each datafile:</p> <ul> <li>filename</li> <li>rat ID</li> <li>session number</li> <li>box</li> <li>diet group (NR, non-restricted or PR, protein-restricted)</li> <li>date</li> <li>ratio (FR, fixed ratio or PR, progressive ratio)</li> <li>pellet type (grain or protein)</li> <li>responses</li> <li>rewards</li> <li>breakpoint</li> </ul> <p><strong>PRPR_metafiles.xls</strong> also contains sheets (<em>freeaccess_exp1</em> and <em>freeaccess_exp2</em>) with data from the free access tests showing grams of food consumed on two consecutive days for each rat in the study.</p>
Dataset for "IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean"
<p>Dataset for</p> <p>Sperlich, P., Brailsford, G. W., Moss, R. C., McGregor, J., Martin, R. J., Nichol, S., Mikaloff-Fletcher, S., Bukosa, B., Mandic, M., Schipper, I., Krummel, P. and Griffiths, A. D.: IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean, Atmos. Meas. Tech., https://doi.org/10.5194/amt-15-1-2022, 2022.</p>
Data Sources for the World Atlas of late Quaternary Foraminiferal Oxygen and Carbon Isotope Ratios 2021
<p>A tabulated text file containing all data sources used for the World Atlas of late Quaternary Foraminiferal Oxygen and Carbon Isotope Ratios 2021 (WA_Foraminiferal_Isotopes_2021), https://doi.org/10.1594/PANGAEA.936747 (Mulitza et al. 2021)</p>
[Dataset] In situ laser-ultrasonic monitoring of Poisson's ratio and bulk sound velocities of steel plates during thermal processes
<p>Data generated and analyzed in the work titled "In situ laser-ultrasonic monitoring of Poisson’s ratio and bulk sound velocities of steel plates during thermal processes". See the associated publication for more context.</p> <p>All files are stored in Matlab's binary MAT-file format.</p> <ul> <li>cutOffs_ZGVs_nu_S1S2_A2A3_S3S6_A4A7.mat <ul> <li>Dispersion relation data of plates obtained from numerical calculation with a range of Poisson's ratios and otherwise arbitrary but fixed material properties.</li> <li>S1S2-, A2A3-, S3S6- and A4A7-ZGV resonance frequencies and k-values</li> <li>L1 and T1 thickness resonance frequencies</li> </ul> </li> <li>lusResults_jmat_dilatometry_data.mat <ul> <li>LUS measurement data and resulting material properties (raw displacement data recorded on the oscilloscope is stored separately to keep the file size reasonable.)</li> <li>Dilatometer measurements</li> <li>JMatPro simulation</li> </ul> </li> <li>lusOscilloscope_data.mat <ul> <li>Normal surface displacement measurement data obtained in situ with LUS and recorded with an oscilloscope</li> </ul> </li> </ul>
Male biased sex ratio in the offspring of roe deer
<p>The file "metafor_roe_sex.csv" was used for the meta-analysis regarding the sex ratio of roe deer juveniles. It contains the columns: </p> <p>Author (author(s) of the publication, Country (country were the study was publised), Location (specific location, in case that the data set contains several different locations the term "divers" is used), Year (year(s) were the sex of roe deer offspring were documented), Pub-Year (Year of publication) , N (number of offspring), N_female (number of female offspring), Sex ratio (primary - P or secondary - S sex ratio), Habitat conditions (F - free ranging, I - Island conditions, C - captive), Proportion female (proportion of female juveniles), Low_95 (lower boundary for the proportion of females using an exact binomial test with a 95% confidence interval), High_95 (upper boundary for the proportion of females using an exact binomial test with a 95% confidence interval), d (effect size), d_se (standard error of the effect size), North (Latitude), East (Longitude)</p> <p>The file "sex_bw.csv" contains information about roe deer juveniles tacked in Baden-Württemberg. The columns read as: Year (year were the juvenile was tacked), sex (the sex of the juvenile, m- male; f- female), and Hasl (elevation in m)</p> <p>The file "temp_data_comma_sep.csv" contains the montly mean values for temperature (Temp) and precipitation (NDS) for the months January, February, March, ..., December for the German federal state Baden-Württemberg (Source German Weather Service).</p> <p>All data sets were used for analysis presented in: Evidence for a male-biased sex ratio in the offspring of a large herbivore: the role of environmental conditions in the sex ratio variation.</p> <p> </p> <p> </p>
Frequency ratio of the Ar13+ clock transition and the 171Yb+ ocutpole transition
<p>Measured and corrected frequency ratio between the optical clock transition in Ar<sup>13+</sup> and the octupole transition in <sup>171</sup>Yb<sup>+</sup>. Data is provided for the two isotopes <sup>40</sup>Ar<sup>13+</sup> and <sup>36</sup>Ar<sup>13+</sup>.</p>
Data set for "The annual-hydrogen-yield-climatic-response ratio: evaluating the real-life performance of integrated solar water splitting devices"
<p>This data set was used for the modelling in the article M. Kölbach, O. Höhn, K. Rehfeld, M. Finkbeiner, J. Barry, and M. M. May, “The annual-hydrogen-yield-climatic-response ratio: evaluating the real-life performance of integrated solar water splitting devices”<strong><em>,</em></strong> <em>Sustainable Energy Fuels</em>, <strong>2022</strong>, <strong>6</strong>, 4062-4074, <a href="https://doi.org/10.1039/D2SE00561A">https://doi.org/10.1039/D2SE00561A</a>.</p> <p>It contains the External Quantum Efficiency (EQE) data of a wafer-bonded AlGaAs//Si dual-junction solar cell for several top absorber compositions, angle of incidences, and temperatures modelled using the OPTOS formalism (see <a href="https://doi.org/10.1364/OE.24.0A1083">https://doi.org/10.1364/OE.24.0A1083</a> , <a href="https://doi.org/10.1364/OE.23.0A1720">https://doi.org/10.1364/OE.23.0A1720</a> , and <a href="http://doi.org/10.1109/JPHOTOV.2021.3064562"> https://doi.org/10.1109/JPHOTOV.2021.3064562</a>). Moreover, the data set includes hourly resolved direct and diffuse solar spectra for a location near the Neumayer station in Antarctica (-70.67°/-8.28°) that were modelled using the libRadtran software package for the year 2021 (see <a href="https://doi.org/10.1140/epjconf/e2009-00912-1">https://doi.org/10.1140/epjconf/e2009-00912-1</a> and <a href="http://doi.org/10.5194/acp-5-1855-2005">https://doi.org/10.5194/acp-5-1855-2005</a>). The modelling of the spectra was performed employing the predefined “subarctic summer” and “subarctic winter” atmosphere datasets assuming a tilt angle of 70° and 1-axis tracking. For the sake of simplicity, no cloud cover was assumed over the course of the whole year. Finally, the input files required for modelling the climatic response of solar water splitting devices for the selected location in Antarctica using the “climatic_response_function” of YaSoFo (see <a href="http://doi.org/10.5281/zenodo.5257492">https://doi.org/10.5281/zenodo.5257492</a> for an extended example) are included in the data set.</p>
Data from "Source characterization of the declared North Korean Nuclear Tests from regional distance coda wave spectral ratios"
<p>Results of the coda spectral ratio analysis presented in Delbridge et al. (2022).</p> <p>network_average_ratios.csv - a csv file which contains each of the network average ratios calculated from all channels and stations for each event pair and component.</p>
Apples to Apples: Shift from Mass Ratio to Additive Molecules per Electrode Area to Optimize Li-Ion Batteries
<p>Electrolyte additives in liquid electrolyte batteries can trigger the formation of a protective interphase (SEI) atthe electrodes that aims to suppress side reactions at the electrodes. Studies of varying amounts of additives have been done over the last years, providing a comprehensive understanding of the impact of the electrolyte formulation on the lifetime of the cells. However, these studies mostly focus on the variation of the mass fraction of additive in the electrolyte while disregarding the ratio (radd) of the additive's amount of substance (nadd) to the electrode area (Aelectrode). Herein we utilize our extremely accurate automatic battery assembly system (AUTOBASS) to vary electrode area and amount of substance of the additive. The data provides strong evidence that reporting the mass ratios of electrolyte components is insufficient and the mol of additive relative to the electrodes' area should be reported. Herein, the two most utilized additives, namely fluoroethylene carbonate (FEC) and vinylene carbonate (VC) were studied. Each additive was varied from 0.1 wt.-% - 3.0 wt.-% for VC, and 5 wt.-% - 15 wt.-% for FEC for two mass loadings of 1 mAh/cm2 and 3 mAh/cm2. To engage the community to find better descriptors, such as the proposed radd, we publish the dataset alongside this manuscript.</p> <p>Codes and mechanical parts of the project:</p> <p>AutoBASS 2.0: <a href="https://github.com/Helge-Stein-Group/AutoBASS/tree/AutoBASS_2.0">GitHub - Helge-Stein-Group/AutoBASS at AutoBASS_2.0</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.