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13,276 results for “IT management”
Land use and management effects on soil carbon in the Lake States, Northern United States - Nave, et al 2022
There is growing need to quantify and communicate how land use and management activities influence soil organic carbon (SOC) at scales relevant to, and in the tangible control of landowners and forest managers. The continued proliferation of publications and growth of datasets, data synthesis and meta-analysis approaches allows the application of powerful tools to such questions at ever finer scales. In this analysis, we combined a literature review and effect-size meta-analysis with two large, independent, observational databases to assess how land use and management impact SOC stocks, primarily with regards to forest land uses. We performed this work for the (Great Lakes) Lake States, which comprise 6% of the land area, but 7% of the forest and 9% of the forest SOC in the U.S., as the second in a series of ecoregional SOC assessments. Most importantly, our analysis indicates that natural factors, such as soil texture and parent material, exert more control over SOC stocks than land use or management. With that for context, our analysis also indicates which natural factors most influence management impacts on SOC storage. We report an overall trend of significantly diminished topsoil SOC stocks with harvesting, consistent across all three datasets, while also demonstrating how certain sites and soils diverge from this pattern, including some that show opposite trends. Impacts of fire grossly mirror those of harvesting, with declines near the top of the profile, but potential gains at depth and no net change when considering the whole profile. Land use changes showing significant SOC impacts are limited to reforestation on barren mining substrates (large and variable gains) and conversion of native forest to cultivation (losses). We describe patterns within the observational data that reveal the physical basis for preferential land use, e.g., cultivation of soils with the most favorable physical properties, and forest plantation establishment on the most marginal so
Data to explore circular manureshed management in beef supply chains of the United States and western Canada
Circular management of beef supply chains holds great promise for improving sustainability from grazing agroecosystem to dinner plate. In the United States and Canada, one approach to circularity entails transporting manure nutrients from cattle produced in feedlots back to the grazing agroecosystems where they originated to enrich haylands for further grazing cattle production. We provide data to assess this strategy centered around three grazing agroecosystems: Florida, New Mexico, and the provincial assemblage of Manitoba, Saskatchewan, Alberta, British Columbia. We describe four datasets that can be used to estimate the potential nutrient utilization of hay fed to grazing cattle in the three grazing agroecosystems and the magnitudes of feedlot manure nutrients available for transport back to them. We found that although biogeography and management differ among the three grazing agroecosystems, the hay allocated for grazing cattle represented approximately 65% of the total harvested hay produced per agroecosystem after accounting for harvest losses, and that on average all three areas exported about 450,000 cattle annually for feedlot, pasture, and slaughter to states across the US. Although we highlight only three grazingland settings, our approach relies on methods that could ultimately be scaled nationally and internationally, with applicability to other animal industries for which circular management is an aspiration for sustainability outcomes.
SMR01 Konza Prairie grassland soil microbial responses to long-term management of N availability
Anthropogenic actions have significantly increased biological nitrogen (N) availability on a global scale. In tallgrass prairies, this phenomenon is exacerbated by land management changes, such as fire suppression. Historically, tallgrass prairie fire removed N through volatilization, but fire suppression has contributed to increased soil N availability as well as woody encroachment. Because soil microbes respond to N availability and plant growth, these changes may alter microbial composition and important microbially-mediated functions. Grassland management affects the soil environment on multiple time scales including short (fertilization or fire event), seasonal (growing vs. non-growing season), and long-term (decadal plant turnover and nutrient accumulation), therefore my goal was to understand community variability at different time scales affecting the population and community dynamics of soil microbes. I predicted soil microbes would be sensitive to environmental changes at all time scales, seasonal variation would reflect increased plant rhizodeposit-supported populations during summer and decomposers during winter, and long-term fire suppression and chronic fertilization would drive soil microbial community turnover associated with accumulation of plant litter and N. Soil microbial responses to short-term fire/fertilization events were minimal, while microbial population sizes fluctuate seasonally and synchronously, and microbial community composition varied more with management history than at shorter time scales. Bacterial populations increased 10x during growing-season plant rhizodeposition, while fungal populations were less dynamic, but decreased in fall, possibly reflecting a shift to subsistence on soil organic matter. In contrast, microbial community composition was seasonally stable, but distinct between long-term management treatments, which may indicate accumulation of niche-defining plant or soil properties over decades. Prokaryotic communities
Conservation and management of migratory fauna and dams in tropical streams of Puerto Rico
1. Compared to most other tropical regions, Puerto Rico appears to have dammed its running waters decades earlier and to a greater degree. The island has more large dams per unit area than many countries in both tropical and temperate regions (e.g., 3x that of the U.S.), and the peak rate of large dam construction occurred two and three decades prior to reported peak rates in Latin America, Asia and Africa.2. Puerto Rico is a potential window into the future of freshwater migratory fauna in tropical regions, given the island's extent and magnitude of dam development and the available scientific information on ecology and management of the island's migratory fauna.3. We review ecology, management and conservation of migratory fauna in relation to dams in Puerto Rico. Our review includes a synthesis of recent and unpublished observations on upstream effects of large dams on migratory fauna and an analysis of patterns in free crest spillway discharge across Puerto Rican reservoirs. Analyses suggest that large dams with rare spillway discharge cause near, not complete, extirpation of upstream populations of migratory fauna. They also suggest several management and conservation issues in need of further research and consideration. These include research on the costs, benefits and effectiveness of simple fish/shrimp passage designs involving simulating spillway discharge and the appropriateness of establishing predatory fishes in reservoirs of historically fishless drainages. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
2004 Estuarine Fish Sampling - Managing freshwater inflow to estuaries in northeast Puerto Rico
Historical data are often one of the only resources for documenting and assessing causes of environmental change, particularly in developing regions where funding for ecological studies is limited. In this study, previously unpublished data from a 1977 year-long study of the fish community of the Espiritu Santo estuary are presented. This dataset is among the oldest and most extensive surveys of a Caribbean island estuarine fish community. A comparison of these historical data with data collected in June and July 2004 using identical sampling methods allowed description of potential long-term changes in the fish community, identification of vulnerable species, and assessment of potential drivers of change. Results strongly suggest a decline in species richness and abundance in the Espiritu Santo estuarine fish community, with greater declines in freshwater-tolerant than marine or euryhaline species. Declines in freshwater inflow to the estuary, due to large-scale upstream water abstractions for municipal use, have increased since the initial 1977 survey. This is the first study to examine long-term change in the fish community of a tropical island estuary. Additional research and conservation efforts are needed to understand mechanisms of change and to protect Caribbean island estuarine fish communities. Chapter 2 (isotope and gut content data): The contribution of riverine-derived organisms and organic matter to four fishes along the salinity gradient in two Puerto Rican estuaries, the Espiritu Santo and Mameyes, was examined via stable isotope and gut content analyses. Stable isotope analyses indicated that riverine organic matter potentially contributed as much as 69% of the diet of one (caitipa mojarra, Diapterus rhombeus) of four fishes sampled. In contrast, riverine organic matter was of little direct importance to the three other fishes, tarpon snook (Centropomus pectinatus), ground croaker (Bairdiella ronchus), and white mullet (Mugil curema) contributing le
Cooperative Proactive resource management for 5G in the unlicensed spectrum open data
<p>The data set consists of the following files:</p> <p><strong>1)COT information:</strong> The channel occupancy time of each channel for the first 5000 measurements. The COT values range from 0 to 1.</p> <p><strong>2)QL decisions uniform traffic:</strong> The decisions of QL for the channel utilization of the available SBS and their impact to the achieved throughput. In this file we consider uniform traffic generation patterns.</p> <p><strong>3)QL decisions NON uniform traffic:</strong> The decisions of QL for the channel utilization of the available SBS and their impact to the achieved throughput. In this file we consider non-uniform traffic generation patterns.</p> <p><strong>4)Performance measurements: </strong>The final results of the experiment in respect to the transmit power control and throughput measurements under different QL configurations.</p>
Management and plant physiology data for grassland sites in Germany
<p>Management and vegetation data for sites Fendt (DE-Fen), Rottenbuch (DE-RbW) and Graswang (DE-Gwg) in Southern Germany, observed between 2012 and 2017. Weekly resolution vegetation traits are included for 2015.</p> <p>The sites are part of TERENO, a network of observatories in Germany. The time period includes the ScaleX intensive observation campaigns that took place in 2015 and 2016. The data format is NetCDF4. A Jupyter notebook is available (see Related identifiers, GitLab) with technical notes and examples. </p>
IPBES Data Management Tutorials - Chapter 5: Tools for data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data and knowledge management Policy. They cover topics ranging from data and knowledge management policy, reports, active research data, tools, and examples.</p> <p>Please note that the IPBES data and knowledge management policy is the second version of the IPBES data management policy.</p> <p>This chapter provides IPBES authors with an overview of open source tools used frequently by the scientific community to help it implement data management for the entire data life cycle. The chapter includes the following sessions: </p> <ul> <li>Session 5-1: Introduction to tools for data management (<a href="https://doi.org/10.5281/zenodo.4018639">10.5281/zenodo.4018639</a>)</li> <li>Session 5-2: Tools to find and attribute DOIs (<a href="https://doi.org/10.5281/zenodo.4018643">10.5281/zenodo.4018643</a>)</li> <li>Session 5-3: Literature access tools (<a href="https://doi.org/10.5281/zenodo.4014824">10.5281/zenodo.4014824</a>)</li> <li>Session 5-4: Processing and analysis (<a href="https://doi.org/10.5281/zenodo.4018647">10.5281/zenodo.4018647</a>)</li> <li>Session 5-5: References and citation manager: Zotero (<a href="https://doi.org/10.5281/zenodo.4018653">10.5281/zenodo.4018653</a>)</li> <li>Session 5-6: Publishing and sharing (<a href="https://doi.org/10.5281/zenodo.4018655">10.5281/zenodo.4018655</a>)</li> </ul>
Homeostatic Project Management
<p>Description of a homeostatic project management approach.</p>
Analysematrix von Stellenausschreibungen mit Forschungsdaten(management)-Schwerpunkt in Deutschland 2020.01.03-2020.11.22
<p>Matrix mit strukturierter Auswertung von 162 Stellenanzeigen mit FDM-Bezug (Zeunert, Miriam, & Schneemann, Carsten. (2021). Stellenkorpus - Forschungsdaten(management) 2020.01.03-2020.11.22 (Version 1.0.0.) [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.4430688">http://doi.org/10.5281/zenodo.4430688</a>), nach administrativen, formalen und inhaltlichen Kriterien, Schwerpunkt bildet die Verzeichnung des Anforderungsprofils.</p>
OpenAIRE Guidelines for CRIS Managers 1.0
<p>The Guidelines specify the interoperability layer between Current Research Information Systems (CRIS) and the OpenAIRE infrastructure. The information interchange is based on the Common European Research Information Format (CERIF) data model, the CERIF XML exchange format, and the OAI-PMH protocol. The Guidelines are intended mainly for implementers and administrators of CRIS who plan to communicate research information to OpenAIRE. OpenAIRE (openaire.eu) is the European infrastructure enabling researchers to comply with the European Union requirements for Open Access to research results. OpenAIRE collects metadata from a variety of data sources: publication repositories, data archives and CRIS across Europe and beyond. Interoperability guidelines are defined for each type of source. CERIF is a standard data model for research information and a recommendation by the European Union to its Member States. The custody of CERIF has been entrusted by the European Union to euroCRIS (eurocris.org), an international not-for-profit organisation dedicated to the interoperability of CRIS.</p> <p> </p>
Data Management Plan (DMP) Process Example
<p>This diagram is an example of a funding program solicitation mapped to the select key components of a data management plan, major data lifecycle process, infrastructure and resources, and proposed elements for sustainability of a funded research project. This diagram was developed out of a need to illustrate introductory DMP processes workflows for education, teaching, and training purposes. The DCC Checklist for a Data Management Plan (2013) and the USGS Data Lifecycle Model (2013) were adapted in this diagram.</p>
DigiMedFor Forest Management Map Database
<p>Geodatabase of Forest Management Map created in DigiMedFor project.</p>
LAMASUS Land Use Management Data Set
<p>The land use management classes developed as part of the LAMASUS project have been aggregated to a 1 km grid (INSPIRE) provided as three geopackages and NUTS2 regions, provided as shares in each grid cell and number of pixels in each region, respectively. The NUTS2 data can be joined to the NUTS2 shapefile (contained in NUTS0_2016_01M_3035_corrected.zip, including all NUTS levels), which is provided here as some corrections to the NUTS layer have been made. A list of the land use management classes is provided in the excel file. Note that these aggregated files are consistent with official statistics from the Forest Resources Assessment of the Food and Agriculture Organization (FRA-FAO) for forest areas and Eurostat for cropland and grassland areas. </p> <div> <p>This dataset has been created as part of LAMASUS Project under the scope of Deliverable 2.1 titled "The LUM Geodatabase and Area Estimates of Land Use Change to 2018 ". The data is directly linked to the work described on pages 12-34, belonging to section 3. The Land Use Management (LUM) Geodatabase. The full text of the deliverable can be accessed via: <a href="https://www.lamasus.eu/wp-content/uploads/LAMASUS_D2.1_LUMGeodatabase.pdf">https://www.lamasus.eu/wp-content/uploads/LAMASUS_D2.1_LUMGeodatabase.pdf.</a></p> </div>
University Learning Management System xAPI data for the ILEDA project
<p>Anonymized data in xAPI format collected from learning management systems (Moodle and LAMS) for the ILEDA (2021-1-BG01-KA220-HED-000031121) project https://ileda.eu/ileda-project. The dataset contains 306,741 records of 829 individuals participating in eight different blended learning courses following either a flipped classroom methodology or a project-based learning methodology from four universities: University of Eastern Finland (Finland), University of León (Spain), Belgrade Metropolitan University (Serbia) and Sofia University (Bulgaria).</p>
Survey: Qualitative FGI research on the processing, sourcing, utilisation and management of wood biomass (NCN) DEC-2020/39/I/HS4/03533
<p>The dataset contains the proceedings of a qualitative FGI of representatives of wood biomass processing and harvesting companies. The research was conducted from 5 July 2022 to 7 July 2022 using only the FGI method. The survey was conducted in face-to-face meetings among respondents.<br>The study was funded by National Science Centre in Poland under agreement National Center of Science (NCN) through grant DEC-2020/39/I/HS4/03533</p>
Clinical evidence for high-risk CE-marked medical devices for glucose management: a systematic review and meta-analysis
<p><strong><span>Aims: </span></strong><span>High-risk medical devices are increasingly used in diabetes management, but<span><span> there are no specific European recommendations on how they should be evaluated. Within</span></span> the Coordinating Research and Evidence for Medical Devices (CORE-MD) project, we conducted a systematic review and meta-analysis evaluating CE-marked high-risk devices for glucose management. </span></p> <p><strong><span>Materials and Methods: </span></strong><span>We<span> identified interventional and observational studies evaluating the </span>efficacy and safety of 8 automated insulin delivery (AID) systems, 2 implantable insulin pumps, and 3 implantable continuous glucose monitoring (CGM) devices.<span> </span></span><span>We meta-analysed randomized controlled trials (RCTs) comparing AID systems with other treatments.</span></p> <p><strong><span>Results:</span></strong><span> 99 studies published from 2009–2022 were included, comprising 83 on AID systems, 6 on insulin pumps, and 10 on CGM; 43% reported industry funding;30% were pre-market; 45% had a comparator group. 33% were RCTs, 25% non-randomized trials, and 41% observational studies. Median sample size was 52 (interquartile range 25–111), age 37.8 years (17–45.5), and study duration 13 weeks (4.5–26). AID systems lowered HbA1c by 0.3 percentage points (absolute mean difference [MD]=-0.3; 9 RCTs; I<sup>2</sup>=85%) and increased time in target range for sensor glucose level by 10.5 percentage points (MD=10.5; 14 RCTs; I<sup>2</sup>=89%). 69% of studies reported on at least one safety outcome.</span></p> <p><strong><span>Conclusions:</span></strong><span> High-risk devices for glucose monitoring or insulin dosing, in particular AID systems, improve glucose control safely but evidence on diabetes-related end organ damage is lacking due to short study durations. Methodological heterogeneity highlights the need for d<span><span>eveloping standards for future pre- and post-market investigations of diabetes-specific high-risk medical devices.</span></span></span></p>
The open D1NAMO dataset: A multi-modal dataset for research on non-invasive type 1 diabetes management
<p>The description of the dataset is available at <a href="https://doi.org/10.1016/j.imu.2018.09.003">https://doi.org/10.1016/j.imu.2018.09.003</a></p> <p>The usage of wearable devices has gained popularity in the latest years, especially for health-care and well being. Recently there has been an increasing interest in using these devices to improve the management of chronic diseases such as diabetes. The quality of data acquired through <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/wearable-sensor">wearable sensors</a> is generally lower than what medical-grade devices provide, and existing datasets have mainly been acquired in highly controlled clinical conditions. In the context of the <em>D1NAMO</em> project — aiming to detect <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/glycemic">glycemic</a> events through non-invasive <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/ecg-abnormality">ECG pattern</a> analysis — we elaborated a dataset that can be used to help developing health-care systems based on wearable devices in non-clinical conditions. This paper describes this dataset, which was acquired on 20 healthy subjects and 9 patients with type-1 diabetes. The acquisition has been made in real-life conditions with the <em>Zephyr BioHarness 3</em> wearable device. The dataset consists of <em>ECG</em>, <em>breathing</em>, and <em><a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/accelerometer">accelerometer</a></em> signals, as well as <em>glucose</em> measurements and annotated <em>food pictures</em>. We open this dataset to the scientific community in order to allow the development and evaluation of diabetes management algorithms.</p>
Dataset to Study TSO-DSO Coordination Market Models for Flexibility Procurement to Balancing and Congestion Management
<p>The dataset is composed by an interconnected system consisting of the IEEE 14-bus (TN) transmission network connected to three distribution networks: the Matpower systems 18-bus (DN_18), 69-bus (DN_69), and 141-bus (DN_141). All systems topology and some parameters are based on the corresponding cases in Matpower [1]. Base demand is adapted from the case, while base generation profiles are added to all nodes. All distribution systems are balanced, and the transmission system is imbalanced. Thermal limits of the lines are adapted in order to create congestion in the systems. Each distribution system is connected to the transmission system through one line, which has capacity of 1.0. The interconnected system is fully represented in "Network.xlsx", in which:</p> <ul> <li>System: transmission (TN) or distribution (DN_18, DN_69, DN_141);</li> <li>LineID: ID of the lines;</li> <li>BusNumber: number of the nodes within the systems. This parameter is used to define the lines (from/to);</li> <li>BaseDemand and BaseSupply: base active demand and generation of each node;</li> <li>ConnectedDN: distribution system to which the transmission system node is connected to. If blank, the node is not connected to any distribution system. Only for the transmission system;</li> <li>InterfaceCapacity: thermal limit of the interface between the transmission and distribution systems;</li> <li>ThermalLimit: thermal limit of the transmission/distribution systems lines. For distribution systems, a value of 10 indicates that the line has no limit; </li> <li>SFTN: shift factor matrix of the transmission system. Capture the change in the active power flow over a line due to a change in injection or offtake at a node;</li> <li>BaseReactiveDemand and BaseReactiveSupply: base reactive demand and generation at each node. Only for distribution systems;</li> <li>VoltageLB and VoltageUB: lower and upper limits for the magnitude squared of the voltage in each distribution system node. Only for distribution systems;</li> <li>ConnectedTN: identify if the distribution node is connected or not to the transmission system. Only for distribution systems;</li> <li>ResistanceR: resistence of the distribution system lines. Only for distribution systems;</li> <li>ReactanceX: reactance of the distribution system lines. Only for distribution systems.</li> </ul> <p>Flexibility bids are randomly generated in the different nodes. For downward flexibility bids, the prices are drawn from the uniform distribution in the range 10 to 15, and for upward flexibility bids, they are drawn from the range 45 to 50. The bids maximum quantities are generated according to the base demand or supply of the node from which they are connected. A minimum value for the quantity is imposed as 0.01. The generated orderbook is presented in "OrderbookTN" (transmission system) and "OrderbookDN" (distribution systems):</p> <ul> <li>OrderID: the ID of the order, to make each order unique;</li> <li>System: the system (TN, DN_18, DN_69, DN_141) from which the order is offered;</li> <li>BusNumber: the node from which the order is offered;</li> <li>FlexibilitySense: UPWARD for increase in generation or decrease in demand; DOWNWARD for increase in demand or decrease in generation;</li> <li>Price: the submitted order price;</li> <li>Quantity: the maximum quantities of the order.</li> </ul> <p>Source of the systems' topology:</p> <p>[1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Mat-power: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on power systems, vol. 26, no. 1, pp. 12–19, 2010.</p> <p>Please notice that this dataset does not replace the information provided by Matpower related to the aforementioned systems. It rather uses those systems topology and some of their parameters to build a case study to investigate TSO-DSO coordination market models for the procurement of flexibility. For the full description of these systems, please visit: <a href="https://matpower.org/">MATPOWER – Free, open-source tools for electric power system simulation and optimization</a>.</p>
Global forest management data at a 100m resolution for the year 2015
<p>We provide four data records:</p> <p>1.The reference data set as a comma-separated file ("reference_data_set.csv") with the following attributes: </p> <ul> <li> <p>“ID” is a unique location identifier </p> </li> <li> <p>“Latitude, Longitude” are centroid coordinates of a 100m x 100m pixel. </p> </li> </ul> <ul> <li> <p>“Land_use_ID “is a land use class: </p> <ul> <li>11 - Naturally regenerating forest without any signs of human activities, e.g., primary forests. </li> <li>20 - Naturally regenerating forest with signs of human activities, e.g., logging, clear cuts etc. </li> <li>31 - Planted forest. </li> <li>32 - Short rotation plantations for timber. </li> <li>40 - Oil palm plantations. </li> <li>53 - Agroforestry. </li> </ul> </li> <li> <p>“Flag” identifies a data origin: 1- the crowdsourced locations, 2- the control data set, 0 – the additional experts' classifications following the opportunistic approach.</p> </li> </ul> <p>2. The 100 m forest management map in a geoTiff format with the classes presented - "FML_v3.2.tif ".</p> <p>3. The predicted class probability from the Random Forest classification in a geoTiff format - "ProbaV_LC100_epoch2015_global_v2.0.3_forest-management--layer-proba_EPSG-4326.tif"</p> <p>4. Validation data set as a comma-separated file ("validation_data_set.csv) with the following attributes: </p> <ul> <li> <p>“ID” is a unique location identifier </p> </li> <li> <p>“pixel_center_x” , “pixel_center_y ” are centroid coordinates of a 100m x 100m pixel in lat/lon projection </p> </li> <li> <p>“first_landuse_class “is a land use class, as in (1). </p> </li> </ul> <ul> <li> <p>“second_landuse_class “is a second possible land use class, as in (1), identified in case it was difficult to assign one class with high confidence. </p> </li> </ul> <p>5. Original crowdsourced data set as a .csv table.</p> <p>6. Compiled FAO FRA forest statistics and mapped classes by countries into one table (.csv format).</p> <p> </p>
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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.