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22,922 results for “collections as data”
Alaskan Peatland Experiment (APEX): Ammonium Uptake Experiment I - Uptake Data Collected in 2016 at Lowland Bog Sites in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This dataset contains data from an ammonium uptake experiment conducted at the APEX Beta site in the BCEF. Data includes ammonium uptake of Carex aquatilis roots from porewater spiked with (NH4)2SO4 for 4 and 8 hours after excavation from thermokarst bogs. Comparisons involve deep vs shallow roots and roots excavated from the edge and centre of thermokarst bogs.
Eight Mile Lake Research Watershed, Thaw Gradient: Geochemical data from perched waters collected from boreholes on Gradient site during August-September 2019
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Geochemical analysis of water perched on the permafrost table complements the overarching aim of this study by targeting the organic component transported laterally from the soils. The association between DOC and mineral elements in the waters perched on the permafrost table was determined. These mineral element-organic carbon associations must be accounted for when considering the stability of organic carbon transported laterally from the catchment.
Eight Mile Lake Research Watershed, Thaw Gradient: Geochemical data collected daily in Panguingue Creek during spring thaw and summer rain events, 2018-2019
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Geochemical analysis of river waters complements the overarching aim of this study by targeting the organic component transported laterally from the catchment and understanding the association between this component and mineral elements. These mineral element-organic carbon associations must be accounted for when considering the stability of organic carbon transported laterally from the catchment.
Tree recruitment data for the Hubbard Brook Valley Plots, baseline data collected 1995 - 1998
The valley-wide plots are a grid of 431 sites along fifteen N–S transects established at 500-m intervals spanning the entire Hubbard Brook Valley. Multiple above- and below- ground attributes were measured between 1995 and 1998. This dataset includes tree recruitment data; soil data and other measurements are presented in separate datasets. 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 USDA Forest Service, Northern Research Station.
Fine Root Data at the Hubbard Brook Experimental Forest, 1998 and 2013 collections
We restored calcium to soils of a forested watershed at Hubbard Brook and measured the response of fine root biomass fourteen years after treatment. Fine root samples were collected in Watershed 1 and the Bear Brook Watershed reference forest, located to the west of Watershed 6, in 1998 (pre-Ca treatment) and in 2013. In this northern hardwood forest fine root (< 1 mm diameter) biomass declined significantly in the Ca addition treatment relative to pretreatment and reference forest conditions. The decline was greatest in the high-elevation hardwood zone of the watershed where soils are thinnest and most base poor. In that zone fine roots were distributed more shallowly after treatment than for reference conditions. We suggest that relatively higher tree C allocation to roots contributes to depressed aboveground productivity in acidified northern hardwood forest ecosystems.
McMurdo Dry Valleys Geochemistry data of cryoconite holes collected from Canada, Commonwealth, Howard, Hughes and Taylor glaciers in Nov 2001 and Jan 2002
Geochemistry data of cryoconite holes collected from Canada, Commonwealth, Howard, Hughes and Taylor glaciers in Nov 2001 and Jan 2002
SGS-LTER Standard Met Data: 1969- 2010 Manually Collected Standard Meteorological Data on the Central Plains Experimental Range, Nunn, Colorado, USA 1969 - 2011, ARS Study Number 6
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values. additional information and referenced materials can be found:http://hdl.handle.net/10217/82146.
SGS-LTER Standard Met Data: 1969-2010 Manually Collected Aboveground Meteorological Data: English Units on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 4
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82446.
JUMP - Data collection - Part I: Jets from a Global Climate Model.
<p>We conduct in-depth analysis of statistical flow properties from Global Circulation Model that reproduce Saturn's macroturbulence, namely large-scale zonal winds. We use a high performance Global Climate Models (GCMs), named DYNAMICO, to model the atmospheric circulation of gas giants with appropriate physical parametrizations for Saturn's atmosphere. The high-resolution model DYNAMICO solves for 3D primitive equations of motion. We ran a Saturn simulation covering 15 Saturn years using the Saturn DYNAMICO GCM. Wind fields are output every 20 Saturn days at 32 pressure levels onto 1/2° latitude-longitude grid maps. Details on this Saturn reference simulation are given in Spiga et al. (2020). In addition, to diagnose the relevant 3D dynamical mechanisms in Saturn's turbulent atmosphere, we run a set of four simulations using an idealized version of our Global Climate Model devoid of radiative transfer, with a well-defined Taylor-Green forcing and over several rotation rates (4, 1, 0.5, and 0.25 times Saturn's rotation rate). Here, we deliver a full data set, including velocity maps, at different pressure levels and time steps, from which it is possible to recompute the statistical analysis detailed in Cabanes et al. (2020). The delivered data set includes:</p> <p>Files of our (1) data collection and (2) numerical codes that lead to the statistical analysis:</p> <p>(1) Data collection:</p> <ul> <li>A PDF file named <strong>JUMP-zonal-jets-data-collection-Icarus.pdf</strong> that describes in depththe data set and the associated nomenclature.</li> <li>A netcdf file of velocity fields from our Saturn Reference Simulation (SRS) <ul> <li><strong>uvData-SRS-istep-312000-nstep-50-niz-12.nc</strong></li> <li><strong>StatisticalData.nc</strong></li> </ul> </li> <li>A netcdf file of velocity fields from idealized simulation at 4 times the Satrun's rotation rate, <ul> <li><strong>uvData-Omega-4-istep-21026.0-nstep-20-niz-8.nc</strong></li> </ul> </li> <li>A netcdf file of velocity fields from idealized simulation at 1 times the Satrun's rotation rate, <ul> <li><strong>uvData-Omega-1-istep-21026.0-nstep-20-niz-8.nc</strong></li> </ul> </li> <li>A netcdf file of velocity fields from idealized simulation at 0.5 times the Satrun's rotation rate, <ul> <li><strong>uvData-Omega-0.5-istep-20626.0-nstep-20-niz-8.nc</strong></li> </ul> </li> <li>A netcdf file of velocity fields from idealized simulation at 0.25 times the Satrun's rotation rate, <ul> <li><strong>uvData-Omega-0.25-istep-21026.0-nstep-20-niz-8.nc</strong></li> </ul> </li> </ul> <p>(2) Numerical codes:</p> <ul> <li>Codes for statistical analysis in spherical geometry are on Github. --> <a href="https://www.google.com/url?q=https%3A%2F%2Fgithub.com%2Fscabanes%2FPOST&sa=D&sntz=1&usg=AFQjCNFuDU0eij4XGxQfReO92CHfJz6PBA">https://github.com/scabanes/POST</a></li> </ul> <p> </p> <p><strong>Acknowledgments</strong>:</p> <p>The authors acknowledge exceptional computing support from Grand Équipement National de Calcul Intensif (GENCI) and Centre Informatique National de l’Enseignement Supérieur (CINES). All the simulations presented in this paper were carried out on the Occigen cluster hosted at CINES. This work was granted access to the High-Performance Computing (HPC) resources of CINES under the allocations A001-0107548, A003-0107548, A004-0110391 made by GENCI. The authors acknowledge funding from Agence Nationale de la Recherche (ANR), project HEAT ANR-14-CE23-0010 and project EMERGIANT ANR-17-CE31-0007. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement N° 797012. Fruitful discussions with Sandrine Guerlet, Ehouarn Millour, Thomas Dubos, Frédéric Hourdin and Alexandre Boissinot from our team helped refine some discussions in the paper.</p>
Collected data from the ATLASM5 Atmospheric Research Station from 01 January 2019 to 31 December 2019
<p>PI_NAME = Abdelwahid MELLOUKI<br> INSTITUTE = CNRS-ICARE<br> EMAIL=mellouki@cnrs-orleans.fr<br> ADDRESS=1C Av. de la Recherche Scientifique, CS 50060, 45071 Orleans cedex 2</p> <p>TITLE = Data from the ATLASM5 Research Station Year = 2019<br> DATA_CATEGORY=Field_ATLASM5 Station<br> Project=MARSU<br> TYPE_OF_DATA= FIELD MEASUREMENT<br> STATUS_OF_FILE=FINAL<br> VERSION=1.0<br> PLATFORM = ATLASM5<br> NAME_OF_PLATFORM=MARSU<br> DESCRIPTION=https://marsu-h2020.org/</p> <p> </p>
Benchmarking data collected on CloudLab
<p>This dataset includes over 6.8M performance measurements collected on the CloudLab testbed. For more information about *how* and *why* it is collected, please refer to the "Taming Performance Variability" paper (<a href="https://www.usenix.org/system/files/osdi18-maricq.pdf">https://www.usenix.org/system/files/osdi18-maricq.pdf</a>). For additional information about CPU measurements, you can refer to: https://www.flux.utah.edu/download?uid=288.</p> <p>The dataset is split into 3 files, for <strong>CPU</strong> (2.0M records), <strong>memory</strong> (4.3M records), and <strong>disk</strong> (664K) results. All these records were exported from the live database dedicated to this benchmarking project on 02/23/2020. </p> <p>--------------</p> <p>Contributors:</p> <ul> <li>Dmitry Duplyakin (<a href="mailto:dmdu@cs.utah.edu">dmdu@cs.utah.edu</a>)</li> <li>Alexandru Uta (<a href="mailto:a.uta@vu.nl">a.uta@vu.nl</a>)</li> <li>Aleksander Maricq (<a href="mailto:amaricq@cs.utah.edu">amaricq@cs.utah.edu</a>)</li> <li>Robert Ricci (<a href="mailto:ricci@cs.utah.edu">ricci@cs.utah.edu</a>)</li> </ul>
Geochemical data for fluids collected in Acoculco Geothermal Field
<p>The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco </strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method.</p> <p>The dataset <strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera. Total depth is also included for samples collected from water wells.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected samples from Los Azufres and Alcaparrosa natural gas manifestations.</p>
Collected data on early estimates of global fossil CO2 emissions
<p>This dataset collects together a number of early estimates made of global emissions of fossil CO2, starting with Arvid Högbom in 1894. Microsoft Excel files for original data sources where these are time series, including images of the tables from the original sources, in addition to one CSV file of CO2 emissions from all sources. Sources that only reported emissions for a short period are not included in the Excel collection, but are included in the CSV file. In addition the original United Nations energy data used by several sources is included as UN1956.xlsx.</p>
Data from: Ant collective behavior is heritable and shaped by selection
Collective behaviors are widespread in nature and usually assumed to be strongly shaped by natural selection. However, the degree to which variation in collective behavior is heritable and has fitness consequences -- the two prerequisites for evolution by natural selection -- is largely unknown. We used a new pharaoh ant ( Monomorium pharaonis ) mapping population to estimate the heritability, genetic correlations, and fitness consequences of three collective behaviors (foraging, aggression, and exploration) as well as body size, sex ratio, and caste ratio. Heritability estimates for the collective behaviors were moderate, ranging from 0.17 to 0.32, but lower than our estimates for the heritability of caste ratio, sex ratio, and the body size of new workers, queens, and males. Moreover, variation among colonies in collective behaviors was phenotypically correlated, suggesting that selection may shape multiple colony collective behaviors simultaneously. Finally, we found evidence for directional selection that was similar in strength to estimates of selection in natural populations. Altogether, our study begins to elucidate the genetic architecture of collective behavior and is one of the first studies to demonstrate that it is shaped by selection.
Data from: Introduced bees (Osmia cornifrons) collect pollen from both coevolved and novel host-plant species within their family-level phylogenetic preferences
<p><span><span><span><span><span><span><span><span><span><span><span>Studying the pollen preferences of introduced bees allows us to investigate how species utilize host-plants when establishing in new environments. <i>Osmia cornifrons</i> is a solitary bee introduced into North America from East-Asia for pollination of crops in the Rosaceae. We investigated whether <i>O. cornifrons</i> 1) more frequently collected pollen from host-plant species they coevolved with from their geographic origin, or 2) prefer hosts-plant species of specific plant taxa independent of origin. To address this question, using pollen metabarcoding we examined the identity and relative abundance of pollen in larval provisions from nests located in different habitats with varying abundance of East-Asian and non-Asian plant species. Our results show that <i>O. cornifrons</i> disproportionately, yet not exclusively, collected pollen from their native range. Plants in the family Rosaceae were their most preferred pollen hosts, where they differentially collected species native to East-Asia, Europe, or North America depending on the landscape. Our results suggest that while <i>O. cornifrons</i> more frequently collect pollen of East-Asian origin, the collection of pollen from novel species within their phylogenetic familial affinities can facilitate pollinator establishment. This phylogenetic preference highlights the effectiveness of <i>O. cornifrons</i> as crop pollinators of a variety of Rosaceae crops from different geographic origins. Ourresults imply that globalization of non-native plant species may ease the naturalization of their coevolved pollinators outside of their native range. </span></span></span></span></span></span></span></span></span></span></span></p>
360-degree video recording of an outdoor camerawork training session for qualitative data collection
<p>In this equirectangular 360° video clip, a recording of an outdoor camerawork training session is stitched together from the footage taken by a stereoscopic 360° camera with eight lenses. To play the video and spatial sound correctly, use a digital video player that can play equirectangular videos with the YouTube ambiX First Order Ambisonic audio format, eg. VLC or PotPlayer. Please wear headphones.</p> <p>In the camerawork training session, all the participants are playing particular roles in the training session, and each carries a camera. In preparation for the real data collection with a guide, one person is pretending to be a nature guide. She carries a GoPro camera on a gimbal. There is an instructor, who is carrying a single lens 360° camera on a raised extension pole with a separate ambisonic microphone. Two others are filming with a prosumer camcorder and a single lens 360° camera on a lowered extension pole respectively. And a fifth person is filming with a stereoscopic 360° camera and an independent ambisonic microphone on a monopod. In a nutshell, this is a typical team filming arrangement, in which the team needs to attentively yet silently coordinate their joint camerawork. Languages: Danish and English</p>
200 kHz raw echosounder data collected on the Antarctic Circumnavigation Expedition during the austral summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>These data consist of raw echosounder observations in the Southern Ocean collected during the Antarctic Circumnavigation Expedition (ACE; legs 2, 3) and through the Atlantic Ocean (ACE leg 4) using an EK60 GPT operating at 200 kHz. The instrument was calibrated at South Georgia during the expedition (leg 3).</p> <p><strong>Dataset contents</strong></p> <ul> <li>*DYYYYMMDD-THHMMSS.idx, auxiliary files, binary</li> <li>*DYYYYMMDD-THHMMSS.raw, data files, binary</li> <li>*DYYYYMMDD-THHMMSS.bot, auxiliary files, binary</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license </strong></p> <p>These data consist of raw echosounder observations in the Southern Ocean collected during the Antarctic Circumnavigation Expedition (ACE; legs 2, 3) and through the Atlantic Ocean (ACE leg 4) using an EK60 GPT operating at 200 kHz. The instrument was calibrated at South Georgia during the expedition (leg 3).</p>
Data collected by fruit body– and DNA-based survey methods yield consistent species-to-species association networks in wood-inhabiting fungal communities
<p>Inferring interspecific interactions indirectly from community data is of central interest in community ecology. Data on species communities can be surveyed using different methods, each of which may differ in the amount and type of species detected, and thus produce varying information on interaction networks. Since fruit bodies reflect only a fraction of the woodinhabiting fungal diversity, there is an ongoing debate in fungal ecology on whether fruit body– based surveys are a valid method for studying fungal community dynamics compared to surveys based on DNA metabarcoding. In this paper, we focus on species-to-species associations and ask whether the associations inferred from data collected by fruit-body surveys reflect the ones found from data collected by DNA-based surveys. We estimate and compare the association networks resulting from different survey methods using a joint species distribution model. We recorded both raw and residual associations that respectively do not and do correct for the influence of the abiotic predictors when estimating the species-to-species associations. The analyses of the DNA data yielded a larger number of species-to-species associations than the analyses of the fruit body–based data as expected. Yet, we estimated unique associations also from the fruit-body data. Our results show that the directions of estimated residual associations were consistent between the data types, whereas the raw associations were much less consistent, highlighting the need to account for the influence of relevant environmental covariates when estimating association networks. We conclude that even though DNA-based survey methods are more informative about the total number of interacting species, fruit-body surveys are also an adequate method for inferring association networks in wood-inhabiting fungi. Since the DNA and fruit-body data carry on complementary information on fungal communities, the most comprehensive insights are obtained by combining the two survey methods.</p>
Destructive harvest data collected from four large tropical rainforest trees in Floresta Nacional de Caxiuanã
<p>Title<br> -----</p> <p>Destructive harvest data collected from four large tropical rainforest trees in Floresta Nacional de Caxiuanã</p> <p>Authors<br> ------- </p> <p>A. Burt<br> M. Boni Vicari<br> A. C. L. da Costa<br> I. Coughlin<br> P. Meir<br> L. Rowland<br> M. Disney</p> <p>Contact<br> -------</p> <p>a.burt@ucl.ac.uk</p> <p>License<br> -------</p> <p>These data are distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC BY 4.0) - see the LICENSE file for details.</p> <p>Overview<br> --------</p> <p>We harvested four large tropical rainforest trees (diameter range: 0.6-1.2m, height range: 30-46m) in a natural closed forest stand in Floresta Nacional de Caxiuanã, Pará, Brazil (approx. coordinates in the WGS-84 datum: -1.798, -51.435 degrees), during August/October 2018.<br> The objective was to measure the green mass of each tree in its entirety, and to measure woody tissue green-to-dry mass and volume ratios, and basic/green/dry woody tissue density. <br> A complete description of the four trees, these data, and the companion terrestrial lidar data (collected pre-harvest) can be found in our paper entitled: ‘New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar’.</p> <p>Acquisition<br> -----------</p> <p>Field measurements:</p> <p>Neighbouring vegetation surrounding each tree was removed, including complete clearing of the felling area.<br> Stem diameter was measured using a circumference/diameter tape at either 1.3m above-ground, or 0.5m above-buttress.<br> Each tree was felled onto tarpaulin using a STIHL MS 650 chainsaw with a 20” bar length and 13/64” chain loop.<br> Tree height (incl. stump) was measured with a surveyor's tape measure, and GPS data were acquired from the centre of the stump using a Garmin GPSMAP 64st.<br> The stem (incl. stump) and crown were cut into manageable sections, and the mass of each section was measured via weighing using two Adam LHS 500 crane scales.<br> Mass measurements commenced immediately post-felling, requiring two, four, four and two days to complete measurement of CAX-H_T1 to CAX-H_T4 respectively.<br> Multiple discs (approx. 50mm thick) were also collected from each tree: at 1.3m and 25%, 50% and 75% the length of the stem, and up to 3x discs were taken from the mid-points of 1st, 2nd and 3rd order branches (totalling a minimum of 11 discs per tree).<br> Foliage/fruit samples were retained to confirm taxonomic identity at the Museu Paraense Emílio Goeldi, Belem, Pará, Brazil.</p> <p>Laboratory measurements:</p> <p>All discs were reduced to a set of subsamples using a consistent approach: for any particular disc, they were cut as guided by parallel chords straddling above and below the major axis, each with approximate dimensions of 150mm x 50mm x 50mm (i.e., each set included periderm, phloem, cambium, xylem and pith tissues).<br> Mass and volume measurements were made on each subsample in a green and dry state.<br> Subsamples were considered in a green state after soaking for 48 hours, and a dry state once a constant mass had been attained whilst drying in an oven at 105 degree Celsius.<br> Mass was measured using an Adam NBL4602i Nimbus Precision balance, and volume measurements were made on the same balance via Archimedes’ principle.</p> <p>Processing<br> ----------</p> <p>Dry mass was estimated from measured green mass and an estimate of whole-tree woody tissue green-to-dry mass ratio. <br> Whole-tree woody tissue green-to-dry mass ratio was estimated by weighting the mean value from subsamples in each pool (stem and crown), by the green mass in each pool.<br> This mass-weighted approach was also used for estimating whole-tree woody tissue green-to-dry volume ratio and whole-tree basic/green/dry woody tissue density. </p> <p>File and directory naming convention<br> ------------------------------------</p> <p>The four trees are identified: CAX-H_T1, CAX-H_T2, CAX-H_T3 and CAX-H_T4.<br> The various files and directories are described as follows: </p> <p>./CAXH-H/<br> ├───overview/<br> │ ├───cal_cert/ (Directory: contains balance calibration certificates)<br> │ ├───images/ (Directory: various photographs illustrating the field and laboratory measurements)<br> │ ├───sentinel-2 (Directory: contains RGB and NDVI images from Sentinel-2 data over the harvest site during the campaign dates)<br> │ ├───CAX-H.results.xlsx (File: top-level results)<br> ├───CAX-H_T1/ (Directory: tree-level directories)<br> ├───CAX-H_T2/<br> ├───CAX-H_T3/<br> ├───CAX-H_T4/<br> │ ├───fieldsheets/<br> │ │ ├───CAX-H_T4.fieldsheets.pdf (File: fieldsheets from the original campaign)<br> │ │ ├───CAX-H_T4.remeasurement.fieldsheets.pdf (File: fieldsheets from the remeasurement campaign)<br> │ ├───gps/<br> │ │ ├───CAX-H_T4.gps.txt<br> │ ├───media/ (Directory: contains various photographs and videos of the field measurements, and the discs and subsamples)<br> │ ├───CAX-H_T4.results.xlsx (File: tree-level results)</p>
Going digital: Added value of electronic data collection in 2018 Afghanistan Health Survey
<p>These data were collected and analyzed to compare measures of cost efficiency, data quality and user acceptability between paper-based and digitally collected data for a nationally representative household survey in Afghanistan. </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.