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10,553 results for “measurements”
Raster Image Correlation Spectroscopy and Brightness Measurements of AtLEA proteins from Arabidopsis thaliana
<p>Temporal sequences of various fluorescent leaves were captured using a confocal scanning microscope (Olympus FV1000 inverted microscope), equipped with a 1.3 NA oil immersion 60X objective and the photon counting detection mode. Utilizing a 488 nm laser at 0.1% power and GFP filters/cubes, each temporal sequence involved the acquisition of 100 frames of 64x64 pixels, with a dwell time of 10 μs (1.76 ms per line, 130.24 ms per frame) and a pixel size of 66 nm (50X digital zoom). The interval between frames was set at 131.6 ms.</p> <p>Five plants were analyzed, each expressing one of four distinct genetic constructs fused to complementary fragments of Yellow Fluorescent Protein: pYFN-4-/5pYFC-4-5 (representing the complete AtLEA4-5 protein), pYFN-4-51-77/pYFC-4-51-77 (associated with the N-terminal region of AtLEA4-5), pYFN-4-578-158/pYFC-4-578-158 (relating to the C-terminal region of AtLEA4-5), and pYFN-pYFC (serving as the control). The raw data (*.oib files) were collected during three imaging sessions within a one-week period:</p> <p>- 220618 raw oib dataset.zip</p> <p>- 220622 raw oib dataset.zip</p> <p>- 220623 raw oib dataset.zip</p> <p>Images were converted to *.tif format using FIJI/ImageJ for further analysis and were archived in "tif dataset RICS NB LEAs.zip," excluding files with excessive movement of biological specimens. These images were then subjected to "Raster Image Correlation Spectroscopy" and "Number and Brightness" techniques for analysis.</p> <p>Notation:</p> <p>- h1, h2, h3, h4, h5: Replicates (plants) expressing one of four specific genetic constructs fused to complementary fragments of Yellow Fluorescent Protein.</p> <p>- 45: Fused to the full-length AtLEA4-5 protein (pYFN-4-/5pYFC-4-5).</p> <p>- 4h: Fused to the N-terminal region of AtLEA4-5 (pYFN-4-51-77/pYFC-4-51-77).</p> <p>- rc: Fused to the C-terminal region of AtLEA4-5 (pYFN-4-578-158/pYFC-4-578-158).</p> <p>- ct: The control condition (pYFN-pYFC).</p>
WiFi 2.4 GHz Jamming attack scenario P2 measurements using ADALM Pluto and Maia SDR
<p>The dataset comprises physical-layer data measurements (I-Q samples) collected using an ADALM Pluto SDR version B. The original firmware from Analog Devices was replaced with the Maia-SDR Firmware (<a href="https://maia-sdr.org/">https://maia-sdr.org/</a>). The data was gathered within a 250 square meter area of the WIRID-LAB (<a href="https://wirid-lab.umng.edu.co/">https://wirid-lab.umng.edu.co/</a> laboratory at the Military University Nueva Granada.</p> <p>The dataset is divided into two groups of measurements labeled 'JAMMER' and 'NORMAL', each containing 165 files. These files represent data collected from 15 different points across 11 WiFi channels.</p> <ul> <li><strong>NORMAL Group:</strong> Measurements were taken under standard WiFi traffic conditions without any interference from a jammer.</li> <li><strong>JAMMER Group:</strong> Measurements were taken while deploying a Legacy Short Training Field Jammer attack from a static point.</li> </ul> <p>Each .zip compressed file contains data for 15 measurement points, with each point captured over one second at a sampling rate of 15 Msps. The data is formatted according to the Signal Metadata Format (SigMF), with each measurement point having one <code>.sigmf-data</code> file and one <code>.sigmf-meta</code> file.</p> <p>File names indicate the WiFi channel (enumerated from 1 to 11), signal type (Jammer or Normal), and the attacker node's position 'P2'.</p> <p>An accompanying image (Deployment of a Jammer Attack Scenario inside WiridLAB.png) illustrates the test scenario."</p>
Software and data for: VGWatch: A low-cost stand-alone monitor to measure the valve gape of bivalves in the field
<p>Software and data abstract:</p> <p>This archive includes an Arduino script for utilizing the valve gape monitor outlined in the paper. Additionally, it provides an R script for calibrating the monitor and magnet. Finally, it contains valve gape data from three mussels, collected using the described monitor, along with a script for the analysis.</p> <p> </p> <p>Paper abstract:</p> <p>Valve gape monitors are utilised to measure the extent of bivalve’s shell openings. This measurement is correlated with their filter-feeding activity, and valve closure can serve as an indicator of various environmental stressors, including poor water quality, the presence of predators, and human disturbance. We developed an inexpensive, stand-alone, and reusable valve gape monitor; enabling collection of sufficient and independent spatial replication <em>in situ</em>. The monitor is made using Arduino hardware and software, and we share the design and code. We tested it in the field with three mussels as a proof of concept. The mussels were likely actively feeding most of the time. Two of the mussels were in close vicinity and demonstrated similar valve gape patterns. The monitor enables to measure valve gape in high resolution, providing insights into bivalve biology, ecosystem functioning, and the effects of environmental conditions, including anthropogenic stressors.</p>
CoUDlabs_WP8_T812_Deltares_001. Measuring sediment deposits in gully pots from temperature signals
<p>This dataset contains the results of the experimental campaign and how data were collected on the the <a href="https://co-udlabs.eu/">Co-UDlabs</a> <strong>Work Package 8 (Joint Research Activity 3)</strong>: <i>Improving resilience and sustainability in urban drainage solutions</i>; <strong>Task 8.1</strong>: <i>Development of consensus on measurement of hydraulic and water quality performance of urban drainage technologie</i>s; <strong>Subtask 8.1.2</strong>: <i>Development of scalable measurement protocols to assess the pollutant retention and release potential of urban drainage structures</i>. </p><p>The experimental campaign was funded under the European Union's Horizon 2020 research and innovation programme under grant agreement No 101008626.</p><p>The experiments were designed to further develop an innovative methodology for measuring sediment bed deposits in UDS based on temperature data analysis (<a href="https://doi.org/10.5281/zenodo.7258998">Anta et al., 2022</a>; <a href="https://doi.org/10.1039/D2EW00820C">Regueiro-Picallo et al., 2023</a>). Particularly, the aim of these campaigns was to test the application of this methodology in gully pots for measuring sediment build-up. For this purpose, we focused on understanding the heat transfer processes in gully pots in relation to the volume of bed deposits. Thus, the aim of this research is to estimate or at least obtain proof for the presence/absence of sediments by analyzing the differences between the temperature time series measured in the water phase and at the bottom of bed deposits. Results from the experimental campaigns will help to develop new technologies to estimate accumulation in urban drainage infrastructures.</p><p>The data are described so that others can use and reproduce.</p>
Alberta Differential Magnetometer Measurement (DMM) Data from 2021
<p>This data product consists of a magnetometer dataset from the augmented differential magnetometer measurement (DMM) study conducted in Alberta, Canada in 2021 and GIC data from a nearby transformer substation. This data was analyzed and presented in the paper "Using a Differential Magneoter Measurement to Infer Geomagnetically Induced Currents: An Augmented Approach." Specifically, these datasets were used to create Figures 3, 4, 5, 6, 7, 9 and 10 in this paper.</p> <p>The data files available here are from two magnetometers (USB4 and USB5) on a magnetically quiet day, September 26th, 2021, and a magnetically active day, October, 12th, 2021. USB4 data is from the underline sensor and USB5 is from the remote sensor. Each DMM data file includes the time in UT and magnetic field measurements in the x, y, and z components, where Bx is magnetic north and By is magnetic east. The GIC data file includes the local time (Mountain Daylight Time = GMT-6) and the transformer neutral-to-ground current at the Ellerslie substation (89S) in both transformers (T1 and T2) during the magnetic storm on October 12th, 2021. The magnetic data has a resolution of 1 Hz. The GIC data has a resolution of 0.5 Hz. </p>
Miniaturization and expansion of the contactless temperature measurement system. Facial temperatures in relation to age, pulse and gender.
<p><span>The dataset contains temperature measurements on the surface of the face taken on 109 people. Each patient (identified by Patient ID in dataset) acclimatized in a room with a temperature of 22-24 degrees Celsius. Then the person completed a survey, during which they provided their:</span></p> <ul> <li><span>age (column Survey - age [years]),</span></li> <li><span>gender (column Survey - Gender),</span></li> <li><span>temperature measurement using a pyrometer thermometer (column Survey - temperature [°C]),</span></li> <li><span>and pulse measurement using a pulse oximeter (column Survey - measured pulse [BPM]).</span></li> </ul> <p><span>After that, the examined person stood in front of the contactless temperature measurement system (using a thermal camera), which was continuously calibrated to the black body at a distance of 1.5-3 meters (column Distance between camera and patient [m]). Then, several hundred temperature measurements were taken on each person in the following ways:</span></p> <ul> <li><span>Median temperature on face [°C]</span></li> <li><span>Median temperature on face, 1% of pixels with max temperature [°C]</span></li> <li><span>Median temperature on face, 5% of pixels with max temperature [°C]</span></li> <li><span>Median temperature on face, 10% of pixels with max temperature [°C]</span></li> <li><span>Median temperature in the center of the eyes (3x3 pixels) [°C]</span></li> <li><span>Median temperature measured at the corners of the eyes (3x3 pixels) [°C]</span></li> </ul> <p><span>Additionally, the system automatically estimated:</span></p> <ul> <li><span>the age of the examined person (column Estimated Age [years]),</span></li> <li><span>the pulse of the examined person (column Estimated Pulse [BPM]),</span></li> <li><span>and gender (Estimated Gender).</span></li> </ul> <p><span>According to [1], the measured temperature on the surface of the face is influenced by the age of the measured person. As part of the project, a Binary Regression Tree was developed, which considers (estimated) age when calculating the temperature on the surface of the face (column Temperature calculated by Binary Tree Regression algorithm [°C]).</span></p> <p><span>[1] Cheung, Ming & Chan, Lung & Lauder, I & Kumana, Cyrus. (2012). Detection of body temperature with infrared thermography: accuracy in detection of fever. Hong Kong medical journal = Xianggang yi xue za zhi / Hong Kong Academy of Medicine. 18 Suppl 3. 31-4.</span></p>
Data from: Species richness and evenness of European bird communities show differentiated responses to measures of productivity
<p>Understanding patterns of species diversity is crucial for ecological research and conservation, and this understanding may be improved by studying patterns in the two components of species diversity, species richness and evenness of abundance of species. Variation in species richness and evenness has previously been linked to variation in total abundance of communities as well as productivity gradients. Exploring both components of species diversity is essential because these components could be unrelated or driven by different mechanisms. The aim of this study was to investigate the relationship between species richness and evenness in European bird communities along an extensive latitudinal gradient. We examined their relationships with latitude and Net Primary Productivity, which determines energy and matter availability for heterotrophs, as well as their responses to territory densities (i.e., the number of territories per area) and community biomass (i.e., the bird biomass per area). We applied a multivariate Poisson log-normal distribution to unique long-term, high-quality time-series data, allowing us to estimate species richness of the community as well as the variance of this distribution, which acts as an inverse measure of evenness. Evenness in the distribution of abundance of species in the community was independent of species richness. Species richness increased with increasing community biomass, as well as with increasing density. Since both measures of abundance were explained by NPP, species richness was partially explained by energy-diversity theory (i.e., the more energy, the more species sustained by the ecosystem). However, species richness did not increase linearly with NPP but rather showed a unimodal relationship. Evenness was not explained either by productivity nor by any of the aspects of community abundance. This study highlights the importance of considering both richness and evenness to gain a better understanding of variation in species diversity. We encourage the study of both components of species diversity in future studies, as well as use of simulation studies to verify observed patterns between richness and evenness.</p>
Synchronously recorded gait kinematic data with Inertial Measurement Units and a photogrammetry system for a validation assessment
<h3>Description</h3> <p>A gait database of 32 healthy adult subjects was built , volunteers were between 20 and 63 y.o. (33.64 ± 12.44) and 71.88% were females. Every individual underwent a barefoot walking test recorded simultaneously with Inertial Measurement Units (IMUs) and the photogrammetry system Vicon. The dataset contains the kinematic gait information of the hip, knee, and ankle joints in the three planes of motion: sagittal, frontal, and transversal. </p> <p>The signals recorded by the IMUs are referred to as I(t) and were captured with a sampling frequency of 50 Hz, and those recorded by the photogrammetry system are called V(t) and were captured with a sampling frequency of 100 Hz. To perform a comparative study of both systems, the V(t) signals must be resampled to 50 Hz. Then, the delay between the two signals must be corrected to align them. Finally, gait cycles can be extracted for each pair of trials following the data information provided, obtaining a pair of waveforms for each gait cycle [I(t), V(t)]. A total of 268 synchronous gait cycles [I(t), V(t)] can be recovered and analyzed in the three planes of motion per limb.</p> <h3>Data information</h3> <ul> <li><em>raw_data</em>: folder containing the 32 subjects raw kinematic signals recorded with IMUs (sampling frequency 50 Hz) and photogrammetry system (sampling frequency 100 Hz) synchronously.<br> <ul> <li>For IMUs records: <ul> <li>Z: sagittal plane.</li> <li>X: frontal plane.</li> <li>Y: transversal plane.</li> </ul> </li> <li>For photogrammetry system records: <ul> <li>X: sagittal plane.</li> <li>Y: frontal plane.</li> <li>Z: transversal plane.</li> </ul> </li> </ul> </li> </ul> <ul> <li><em>captures_information.xlsx</em>: table containing the delay correction and the samples corresponding to the events of the gait cycles. The delay correction is the number of samples for which each photogrammetry signal V(t), after being resampled to 50 Hz, must be moved to be completely aligned with its synchronous IMUs signal couple I(t). <ul> <li>If the delay is positive (+) the V(t) signal must be delayed by adding zeros at the beginning.</li> <li>If the delay is negative (-) the V(t) signal must be moved forward by removing zeros at the beginning.</li> </ul> </li> </ul>
Fig. 3 in Identification of Muscidae (Diptera) of medico-legal importance by means of wing measurements
Fig. 3 Wing of male of Musca domestica. The numbered points indicate the landmarks used for wing measurements
Fig. 2 in Identification of Muscidae (Diptera) of medico-legal importance by means of wing measurements
Fig. 2 Males of selected muscid species representing genera used in this study. a Neomyia cornicina (Fabricius). b Phaonia pallida (Fabricius). c Polietes lardarius (Fabricius). d Stomoxys calcitrans Linnaeus. e Thricops simplex (Wiedemann)
Fig. 1 in Identification of Muscidae (Diptera) of medico-legal importance by means of wing measurements
Fig. 1 Males of selected muscid species representing genera used in this study. a Azelia nebulosa Robineau-Desvoidy. b Eudasyphora cyanicolor (Zetterstedt). c Graphomya maculata (Scopoli). d Helina impuncta (Fallén). e Muscina levida (Harris). f Mydaea urbana (Meigen). g Hydrotaea dentipes (Fabricius). h Musca domestica Linnaeus
Linear measurements of Aterian tanged stone artifacts from North African collections
<p>Linear measurements collected from Aterian tanged tools from various museum collections in Morocco and France. Edge lengths were computed using photographs of the artifacts and ImageJ. </p>
Optical Raman spectra of water in quartz cuvette, and empty quartz cuvette, measured with Thorlabs Raman Kit at 785nm laser diode wavelength
<p>The Thorlabs Raman spectroscopy kit was tested with water. The excitation light was 785nm laser diode. The laser wavelength was calibrated with a NIST polystyrene sample in the shape of a prisma with size of a cuvette. The sample was the empty quartz cuvette, and the cuvette filled with water. Simple subtraction of both spectry yields a watzer spectrum, with a broad H-O-H vibration peak at 900 nm.</p> <p> </p> <p><a href="https://www.thorlabs.de/newgrouppage9.cfm?objectgroup_id=14241">Modular Raman Spectroscopy Kit (thorlabs.de)</a></p>
Database of phenolic measurements of European ivies (Hedera L., Araliaceae)
<p>We present two databases of phenolic content measurements of three ivy species (<em>Hedera</em> L., Araliaceae) that are naturally distributed across continental Europe: <em>H. helix</em>, <em>H. hibernica</em>, and <em>H. iberica</em>. We sampled a total of 82 ivy populations in the wild in the Iberian Peninsula representing adequately the natural distribution of the species in the sampled area and the global distribution of <em>H. iberica</em>, endemic of the south-west of the Iberian Peninsula. In each population five individuals were sampled whenever it was possible and a leaf from a vegetative branch (VL) and another from a reproductive branch (RL) were collected for phenolic measurement. Geographic information (latitude, longitude and altitude) was retrieved for each population. Phenolic content was estimated as the absorbance at 329 nm per mg of fresh leaf weight (A<sub>329</sub>), as the absorption peak of phenylpropanoids, the most abundant phenolic compounds of ivies, is located at this wavelength (Murray & Hackett, 1991). As an additional estimate we measured the area under the absorbance curve for the interval 280-400 nm per mg of fresh leaf weight (AUC<sub>280-400</sub>) following Del-Castillo-Alonso et al. (2015). Climatic information for each locality was retrieved for 22 macroclimatic variables available in WorldClim 2.1 with a 2.5min resolution, including 19 bioclimatic variables, solar radiation, water vapor pressure and wind speed (Fick and Hijmans, 2017). The first version of the presented databases (v1) includes all the geographic, phenolic and climatic information used for the analyses in Gallego-Narbón et al. (under review). All the samples collected are available at the herbarium of Universidad Autónoma de Madrid (MAUAM).</p> <ul> <li>The first database (Hedera_Phenolics_samples_v1.xlsx) includes sample information (species, population, individual number, leaf type and sample id), geographic information (latitude, longitude and altitude) and phenolic content measurements (A<sub>329</sub> and AUC<sub>280-400</sub>)<sub> </sub>for 748 leaf samples of 82 ivy populations of <em>H. helix</em>, <em>H. hibernica </em>and <em>H. iberica</em>, This information is included in the first sheet (SamplePhen). The second sheet includes an explanation of the variables of the first sheet (SampleVar).</li> <li>The second database (Hedera_Phenolics_populations_v1.xlsx) includes population information (species, population, individual number, leaf type and sample id), geographic information (latitude, longitude and altitude) and mean phenolic content measurements (A<sub>329</sub> and AUC<sub>280-400</sub>) per population for 82 ivy populations of <em>H. helix</em>, <em>H. hibernica </em>and <em>H. iberica</em>, and climatic information for the 22 macroclimatic variables extracted from WorldClim 2.1 per population. This information is included in the first sheet (PopulationPhen). The second sheet includes an explanation of the variables of the first sheet (PopulationVar).</li> </ul>
Dissolved nitric oxide concentrations and other parameters measured in the Lower Elbe Estuary and the Hamburg Port Area during the RV Ludwig Prandtl Cruise in July 2021
<p>The Elbe River's high nutrient loads and phytoplankton biomass contribute to the complex nutrient turnover processes in the Elbe Estuary, especially within the Port of Hamburg. This campaign aims to investigate the nitrogen turnover processes and nitrous oxide and nitric oxide production in the Elbe Estuary and the Port of Hamburg from 26 to 29 July 2021. Surface water samples were collected on board the RV <em>Ludwig Prandtl</em> using a FerryBox flow-through system. The system, which draws water from approximately 2 meters below the surface through a membrane pump, continuously measured in situ biogeochemical parameters, including dissolved oxygen, pH, salinity, and water temperature. Discrete water samples were collected every 20 minutes for nutrient analysis, chlorophyll a, and dissolved nitric oxide (NO) following established collection, preservation, and storage protocols (Schulz et al., 2022; Norbisrath et al., 2022). Furthermore, nitrous oxide (N2O) concentrations were measured continuously using laser-based off-axis integrated cavity output spectroscopy (OA_ICOS) coupled with a water/gas equilibrator. Additionally, wind speeds at a height of 10 meters were recorded using a MaxiMet GMX600 weather station. Triplicate NO samples were analyzed within 20 minutes of collection, adhering to the method outlined by Lutterbeck and Bange (2015).</p>
Self-reported and accelerometry measures of sleep components in adolescents living in Pacific Island countries and territories: Exploring the role of sociocultural background
<p>Data from self-report questionnaires and accelerometer extraction on sleep components (onset sleep time, wake-up time and sleep duration on weekdays and weekend).</p> <p>Participant characteristics: 10 to 16 years old students.</p> <p>Number of participants: 182.</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p>
Multi-Purpose Room Impulse Response Dataset Measured on a 3D Spatial Grid
<h1>Introduction</h1> <p>The sound field inside a room depends on many factors, such as the room shape, the absorption characteristics of the materials that comprise the bounding surfaces, the furniture present in the room, and the source position and its acoustic characteristics. An increasing number of publicly available room impulse response (RIR) databases that aim to provide detailed descriptions of interior sound fields can be found in the literature. These databases can be utilized in research as well as in the development and verification of signal processing algorithms that use this information on the acoustic environment. The availability of many RIR databases covering diverse scenarios is beneficial to the community.</p> <p>We provide a database of RIRs, namely the <strong>M</strong>ulti-<strong>P</strong>urpose <strong>RIR</strong> (<strong>MP-RIR</strong>) dataset, which contains 68736 RIRs measured on a dense 3D grid inside a complex-shaped room. We used a measurement robot with a rotating arm that operates as a linear guide and is capable of moving a vertical, linear array of eight omni-directional microphones. Four different sources have been used and were placed at eight different positions inside the room. A detailed desciption of the measurement campaign and the dataset is presented in the paper (https://aes2.org/publications/elibrary-page/?id=22515). </p> <h1>Contents of the MP-RIR dataset</h1> <p>In the following, the contents and the structure of the provided dataset are described:</p> <ul> <li>Sk_Mrir.npy:<br>Matrix, which contains the RIRs for all measured grid points for the loudspeaker Sk, k = 1, 2, ..., 8.<br>The matrix has the shape [N_xy, N_z, N] = [1074 x 8 x 100096], where N_xy is the number of 2D grid positions to which the robot is moving the vertical microphone array of N_z microphones. The length of each RIR is described by N.</li> <li>Mxyz.npy:<br>Matrix, which contains the microphone coordinates of the measured RIRs and corresponds to the matrices Sk_Mrir.<br>The matrix has the shape [N_xy, N_z, N_d] = [1074 x 8 x 3]. The indexing for the first two dimensions is the same as for the matrices Sk_Mrir, so that the microphone coordinates can be immediately retrieved for the provided RIRs. The third dimension with the length N_d gives access to the x-, y- and z-coordinate values in meters.</li> <li>Setup.npz<br>Dictionary, which contains parameters related to the measurement setup, with the following keys:<br> <ul> <li>angles_speaker<br>Dictionary of azimuth angles in degrees of the loudspeakers, with the keys S1, S2, ..., S8.</li> <li>coord_speaker_center<br>Dictionary, which contains the x-, y- and z-coordinates of the loudspeaker positions at the center of the base of each loudspeaker. The coordinate arrays can be accessed with the keys S1, S2, ..., S8.</li> <li>coord_polygon<br>Array of shape [4,2], which contains the x- and y-coordinates in meters of the room corners C_q, q=0,1,2,3.<br>The first dimension of the array relates to the room corners and the second dimension relates to the coordinates. </li> <li>fs<br>Sampling rate in Hz.</li> <li>T_guard<br>Guard time in samples. The guard time provides additional samples at the beginning of the RIR to increase the quality of the RIR.</li> <li>T_system<br>Delay of the measurement system in samples.</li> </ul> </li> </ul> <h1>Further Information</h1> <p>The delay of the RIRs is composed of the guard time T_guard, the system delay T_system and the acoustic delay T_ac. The guard time and system delay can be retrieved from the file Setup.npz described above.</p> <p>A gain alignment procedure was applied to align the output SPL between the loudspeakers, as described in the paper. Additionally, all RIRs were scaled by the same value, the maximum absolute peak of all measured RIRs. As a result, the maximum absolute value in each individual RIR is less or equal to 1.</p>
Fig. 6 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 6 — Comparison of estimated longshore current velocity using modified equations with the measured current at C1
Fig. 3 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae
Fig. 3 — Alongshore varying significant wave height and mean wave period observed at surfzone of Candolim vs off Goa
Supplementary to "Quantifying the wind-induced bias of rainfall measurements for the Thies optical disdrometer"
<p>Supplementary material for the paper "Quantifying the wind-induced bias of rainfall measurements for the Thies optical disdrometer" submitted to the journal Water Resources Research</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.