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10,553 results for “measurements”
Dataset of the publication: Atomic Force Microscopy beyond Topography: Chemical Sensing of 2D Material Surfaces through Adhesion Measurements
<p>Dataset of the publication: Atomic Force Microscopy beyond Topography: Chemical Sensing of 2D Material Surfaces through Adhesion Measurements</p> <p>DOI: 10.1021/acsami.3c19254</p> <p><span><span>I. Brotons-Alcázar, Jason. S. Terreblanche, S. Giménez-Santamarina, G. M. Gutiérrez-Finol, K. S. Ryder, A. Forment-Aliaga, E. Coronado, <em>ACS Appl. Mater. Interfaces</em> <strong>2024</strong>, <em>16</em>, 19711.</span> </span></p>
Basic Meteorological Parameters measured by surface observation
<p>This dataset is an example of various weather stations in europe which collect meteorological data from the earths surface. <br>The selected station is located in Thessaloniki city centre. The dataset is a json of different parameters measured with temporal resolution of 10min. The json includes a 24h time interval.<br>Measured parameters are: <br>2m Air Temperature, Dewpoint, Windspeed, Wind direction, Wind gust, Relative Humidity, Mean Sealevel Pressure, Pressure, Global Radiation</p> <p>The data is availlable via API at Meteologix.com .</p> <p>(curl --request GET --url '<a href="https://api.kachelmannwetter.com/v02/stations/BK0078/observations?endTime=2024-10-21&startTime=2024-10-20" target="_blank" rel="noopener noreferrer">https://api.kachelmannwetter.com/v02/stations/BK0078/observations?endTime=2024-10-21&startTime=2024-10-20</a>' <span>--header </span><span>'Accept: application/json' </span><span> --header </span><span>'Authorization: Basic undefined')</span></p>
Dataset of the publication: Probing the spin dimensionality in single-layer CrSBr van der Waals heterostructures by magneto-transport measurements
<p>Dataset of the publication: Probing the spin dimensionality in single-layer CrSBr van der Waals heterostructures by magneto-transport measurements</p> <p>DOI: 10.1002/adma.202204940</p> <p>C. Boix-Constant, S. Mañas-Valero, A. M. Ruiz, A. Rybakov, K. A. Konieczny, S. Pillet, J. J. Baldoví, E. Coronado</p> <p>Adv. Mater., 34, 2204940 (2022)</p>
Analysis of policy measures on designing a renewable fuel supply chain in the transport sector- Supplementary materials
<p><strong>This repository contains supporting data for: "Analysis of policy measures on designing a renewable fuel supply chain in the transport sector"</strong></p> <ol> <li> <p><strong>Supplementary Materials</strong>: This collection encompasses the model input data, alongside a detailed formulation of the objective functions.</p> </li> <li> <p><strong>Pareto_Table</strong>: This file contains the Pareto frontier results. </p> </li> <li><strong>DoE_Results_Table</strong>: This file presents the results of various solution scenarios, each characterized by differing levels of policy measures.</li> </ol>
Advancing shrub dendroecology: a cutting-edge machine learning method for measuring shrub rings
<p>This dataset contains the original data used for the manuscript "<span>Advancing shrub dendroecology: a cutting-edge machine learning method for measuring shrub rings". Image labels is structured as follows: </span></p> <p><span>Site code - Species - sample number </span></p> <p><span>Sites: </span></p> <ul> <li><span>F stands for Finse</span></li> <li><span>A stands for Abisko</span></li> </ul> <p><span>Species :</span></p> <ul> <li><span>DO stands fro Dryas octopetala </span></li> <li><span>EH for Empetrum hermaphroditum</span></li> </ul>
Measuring the risk of violence through health surveillance.
<p>database used for the study "M<span>easuring the risk of violence through health surveillance" to be published.</span></p>
Dataset: Inferring Inherent Optical Properties of Sea Ice Using 360-Degree Camera Radiance Measurements
<p>New types of compact 360-degree cameras have recently appeared on the consumer technology market. Some of these allow users to access raw imagery, offering sensor-level data that can be directly exploited for absolute light quantification. This paves the way for easy-to-use, inexpensive and accessible radiance cameras that can be operated in a wide range of natural environments. </p> <p>This dataset presents the angular radiance distributions measured with the Insta360 ONE 360-degree camera in sea ice. We report vertical profiles of the light field structure at two sites reprensentative of distinct sea ice types: High Arctic multi-year ice and Chaleur Bay (Quebec, Canada) landfast first-year ice. </p> <p>This repository contains the radiometric data stored in <strong>Hierarchical Data Format (HDF5, h5)</strong> under the following names: </p> <ul> <li><strong><a href="https://zenodo.org/api/records/14263256/draft/files/oden-08312018-imf-fluo.h5/content" target="_blank" rel="noopener noreferrer">oden-08312018-imf-fluo.h5</a></strong></li> <li><strong><a href="https://zenodo.org/api/records/14263256/draft/files/baiedeschaleurs-03232022-imf-fluo.h5/content" target="_blank" rel="noopener noreferrer">baiedeschaleurs-03232022-imf-fluo.h5</a></strong></li> </ul> <p>The High Arctic dataset (<strong>oden-08312018-imf-fluo.h5</strong>) contains only one station, while the Chaleur Bay (<strong>baiedeschaleurs-03232022-imf-fluo.h5</strong>) has four that can be accessed using these tags: "station_1", "station_2", "station_3", "station_4". The radiance measurements at each depth are reported as 2-dimensionals arrays with the azimuth directions (0-359°, 1° resolution) as columns and the zenith directions (0-180°, 1° resolution) as lines. The routines (coded in python) for the data processing can be found in the following <a href="https://github.com/RaphaelLarouche/radiance_camera_insta360/tree/master_v01" target="_blank" rel="noopener">Github repository</a> (master_v01) or the <a href="https://zenodo.org/records/4660994" target="_blank" rel="noopener">Zenodo stored version</a>. </p> <p>The methodologies to carefully calibrated the 360-degree camera for radiometry purpose are described in this <a href="https://doi.org/10.1364/AO.524122" target="_blank" rel="noopener">pulibcation</a> and the raw calibration data can be found in this Zenodo <a href="https://zenodo.org/records/10278731" target="_blank" rel="noopener">repository</a>. </p> <p>Additionnal information on the fieldwork and the data analysis are described in the <a href="https://doi.org/10.31223/X5V955" target="_blank" rel="noopener">preprint</a>.</p>
fCO2 underway measurements during Mission Microbiomes aboard SV Tara
<p>This dataset compiles underway fugacity of CO₂ measurements collected during Legs 5, 6, 7, 8, and 9 of the <em>Mission Microbiomes AtlantECO</em> aboard the sailing vessel <em>Tara</em>.</p> <p>The dataset spans from August 2021, starting in Martinique (France), to late November 2021 at the Brazil-Uruguay border.</p> <p>It includes time and location of measurement, sea surface temperature, sea surface salinity, 10 m wind speed, bottom depth, equilibrator temperature, atmospheric pressure, molar fraction of CO₂ in seawater, partial pressure of CO₂ in seawater, and fugacity of CO₂ in seawater.</p> <p>This dataset has been submitted to the 2025 SOCAT release and is accompanied by the paper <em>'Exploring the CO₂ fugacity along the east coast of South America aboard the schooner Tara'</em>, submitted to <em>ESSD</em> by Olivier et al.</p> <p>Additionally, the dataset includes a metadata file (<em>Metadata_TaraMicrobiomes_ATLANTECO.xlsx</em>), formatted according to SOCAT submission requirements, providing further details specific to this dataset.</p> <p>The data is available in two open-access formats: CSV and NetCDF</p>
Data associated with the publication "Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements"
<p>This dataset refers to the publication "Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements". https://doi.org/10.5194/acp-2021-16. </p>
Figure 3 in Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia
Figure 3 | CANAPE, a two-step procedure described in text. (a) Map of centres of endemism discovered. White cells contain no records; beige cells are not significant. The red values indicate grid cells that contain significantly lower RPE than expected given random sampling of the same number of species from a null tree, termed 'centres of neo-endemism'. The blue values indicate grid cells that contain significantly higher RPE than expected, termed 'centres of paleo-endemism'. The purple values indicate grid cells that are a mix of neo-endemism and paleo-endemism; the most highly significant of which (darker purple) are termed 'centres of superendemism'. (b) Bivariate plot showing the relationship between the numerator (y axis) and denominator (x axis) of RPE, applied following the two-step CANAPE procedure described in text, for comparison with a. The grey points in the background are results of the randomization, the beige points are actual values for grid cells that are not significant, the red points are actual values for grid cells that are interpreted as significantly dominated by neo-endemism, the blue points are actual values for grid cells that are interpreted as significantly dominated by paleo-endemism, and the purple points are actual values for grid cells significant for both the y-axis and x-axis variables separately, the most highly significant of which (darker purple) are termed 'centres of super-endemicity'.
Figure 2 in Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia
Figure 2 | Maps showing significance levels resulting from of a randomization test in Australian Acacia. White cells contain no records; beige cells are not significant. (a) PD: the red values indicate grid cells that contain significantly less PD than expected; the blue values indicate grid cells that contain significantly more PD than expected. (b) RPD: the red values indicate grid cells that contain significantly less RPD than expected; the species present in that cell are significantly more closely related than expected. The blue values indicate grid cells that contain significantly more RPD than expected; the species present in that cell are significantly more distantly related than expected. (c) Phylogenetic endemism (PE). The red values indicate grid cells that contain significantly less PE than expected; the blue values indicate grid cells that contain significantly more PE than expected. (d) Relative phylogenetic endemism (RPE). The red values indicate grid cells that contain significantly lower RPE than expected; the blue values indicate grid cells that contain significantly higher RPE than expected.
Dataset for publication "Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications"
<p>This is dataset related to paper published in 2020 IEEE I2MTC Conference proceedings:</p> <p>Crotti G., Giordano D., Letizia P. S., Delle Femine A., Gallo D., Landi C., Luiso M., Barbieri L., Mazza P., Pallidini D., (2020, October 29). Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications. https://doi.org/10.5281/zenodo.4154617</p> <p>Excel file contains the data for Figure 10 and following parameter evaluation.</p>
CO2 flux measurements in Lake Geneva
<p>Dataset contain CO2 flux, CO2 in water and CO2 in atmosphere</p>
TGA and LOI measurements within the thermal degradation study of a SRF prepared for an aluminium scrap pre-heating system (REVaMP project)
<p>Underlying data (related to Figure 2) for the publication Acha, E.; Lopez-Urionabarrenechea, A.;Delgado, C.; et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers <strong>2021</strong>, 13, 3807. <a href="https://doi.org/10.3390/polym13213807">https://doi.org/10.3390/polym13213807</a></p> <p>Experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant. Research pertaining to Task 1.1 (WP1), Deliverable D1. </p> <p>Subject: Thermal degradation study performed in air to measure the mass loss of SRF samples with time and temperature during a continuous heating process (two TGA measurements and determination of variation of LOI with T). The results indicate the different stages in the thermal decomposition of the prepared SRF and the temperature range of its combustion. Useful information for designing the operation conditions of the SRF combustion chamber of the scrap pre-heater.</p> <p> </p>
Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'
<p>Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'.</p> <p><strong>Overview.</strong> Overview of the number of journals, publications, excellent publications and multidisciplinarity for each category considered.</p> <p><strong>ALL.</strong> Journal indicators for all the document types by JCR category.</p> <p><strong>ALL_JCR.</strong> Journal indicators for all the document types by JCR category (only journals indexed in the JCR category are taken into account).</p> <p><strong>AR.</strong> Journal indicators for only articles and reviews by JCR category.</p> <p><strong>AR_JCR. </strong> Journal indicators for only articles and reviews by JCR category (only journals indexed in the JCR category are taken into account).</p>
Vehicular traffic count measurements at Tampere City, Finland, Updated version
<p>Inductive loop vehicular traffic count measurements from Tampere City, Finland</p> <p>15-minute resolution, 2 locations, 2011-2014</p> <p>Data utilized in "Origin-destination matrix estimation with a conditionally binomial model" by P.Kuusela, I. Norros, J. Kilpi and T. Räty</p> <p>See VehicularTrafficCountMeasurements_TampereFinland_2011-2014.rtf</p>
Heritable variation in host quality as measured through an ectoparasite's performance
<p>Obligate parasites need one or more hosts to complete their life cycle. However, hosts might show intraspecific variation in quality with respect to the parasites themselves, thus affecting on-host and off-host parasite performance. High heritability in host quality for the parasite may therefore exert long-lasting selective pressures on the parasite<br> and influence host–parasite coevolution. However, the amount of variation and heritability in host quality are unknown for most parasite species, especially in wild populations of hosts. Both measures were estimated in a wild-caught bird Parus major that was experimentally infested by two developmental stages (larva and nymph) of a ectoparasite (the tick Ixodes arboricola). We examined variation in host quality through variation in tick performance, namely the on-host performance (attachment success, feeding time, engorgement weight and feeding success) and the off-host performance (moulting time, moulting success and overall survival). Herein we also investigated the influence on tick performance of host traits linked with the bird's life history and physiology such as body condition, sex, age and haematocrit. By correlating tick performance variables between larvae and nymphs feeding on the same bird at different times, we found a significant correlation in attachment success, suggesting consistent among-host variation for this performance measure, but no significant larva-nymph correlations for the other tick variables. Animal models relating tick performance variables to the host pedigree showed a strong heritable signal for host quality as measured through tick feeding time, and lower but substantial estimates in other performance variables. With regard to the host traits, feeding success and survival of tick larvae were lower on female birds, and nymphal survival was higher on older birds. Larval feeding time was negatively correlated with host haematocrit. This is one of the first studies showing consistent intraspecific variation and heritability of host quality for a multistage ectoparasite.</p>
AI4EU Robotics Pilot: Vibration sensor measurements in a robotic pump
<p>The robotic pump demonstrator represents a hydraulic pump that can be mounted on an industrial robot, for example, to pump liquid paint for spray painting. On this pump, one accelerometer is mounted for vibration monitoring and recording.</p> <p>The pump can be controlled in terms of speed (rotations per minute, rpm), affecting the throughput of paint and the pressure in and out of the pump.</p> <p>The dataset consists of 380 million measurements of several sensor data of the pump system in 1-second intervals over two months in 2020. The data is split by the recording date over 33 files.</p>
AI4EU Robotics Pilot: Vibration sensor measurements in a robotic wrist
<p>The robotic wrist demonstrator represents a mechanical wrist with three axes that can hold tools, e.g. for spray painting in combination with a pump. On this robotic wrist, two accelerometers are mounted for vibration monitoring and recording: one in the movable front part of the wrist and one in the shaft. The wrist can be controlled through the torque or the designated position of each axis’ motor.</p> <p>The dataset consists of 1.8 billion measurements of several sensor data of the robotic wrist in 1-second intervals over six months in 2020. The data is split by the recording date over 98 files.</p>
Photograph measurements of broad whitefish (Coregonus nasus) body size
<p>The dataset contains photograph measurements of broad whitefish (<em>Coregonus nasus</em>). Measurements (mm; with the scale set to the image) were taken using ImageJ. There are 15 measurements total; see the “Measurement Guide” file for details. Broad whitefish were harvested and photographed in the Gwich’in Settlement Area by community collaborators in 2017 & 2018, along the Peel Channel in the Mackenzie Delta and the Peel River.</p> <p>Measurements were used to predict fish weight using random forest analysis as a methodology for community-based data collection. The “Data Type” column refers to the dataset fish were randomly assigned to as part of this process. “True Fish Weight (g)” and “True Fish Length (mm)” were collected in the field by community monitors.</p> <p>Data collection was done as part of a research program that began in 2017 between Gwich’in community members, renewable resources organizations within the Gwich'in Settlement Area, and university scientists.</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.