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Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Bringing the concept of ammonia critical levels into managing cork-oak woodland for conservation
<p>Agricultural activities often emit excessive nitrogen concentrations to nearby habitats, impacting ecosystems structure and functioning. To protect them, critical levels were established as the concentration above which direct adverse effects on ecosystems may arise. However, due to lack of tools, critical levels are seldom applied in management strategies for conservation. Our objective was to provide a spatial-explicit tool to incorporate the concept of ammonia critical levels in management practices of atmospheric nitrogen impacts. To do that, lichens diversity was sampled in 19 plots at a cork oak woodland (Montado), a High Nature Value Farmland where multiple agricultural activities, surrounded by high-intensity agricultural activities, coexist. We inferred and selected the best performing trait-based metrics and determined the main environmental drivers of change. The most responsive metric was the abundance of oligotrophic lichen species, which was likely responding to nitrogen incoming from nearby high-intensity agricultural areas. The low intensity agricultural activities, cattle grazing within the study area, had no effect. Using the known ammonia critical levels for that ecosystem, we modelled and mapped the long-term critical levels exceedance for the entire study area. This allowed us to signal high intensity agriculture as the source of impact and to map the areas where management practices need further attention under a conservation perspective: either decreasing fertilization in nearby fields or by considering these as buffer areas, outside the scope of conservation.</p>
Fig. 4 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 4. Lead content (ppm) of the top metre of peat at Holcroft Moss.
Figure 6 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 6. Seasonal changes in density (individuals per m2) of Collembola in different ecosystems.
Figure 7 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 7. Seasonal changes in Diversity (H´) of Collembola in different ecosystems.
Fig. 2 in Comparison of attractants, insecticides, and mass trapping for managing Drosophila suzukii (Diptera: Drosophilidae) in blueberries
Fig. 2. Commercially available trap from RIGA® AG used in mass trapping.
Fig. 2 in Field efficacy of insecticides for management of invasive fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) on maize in India
Fig. 2. Corn yield in field efficacy treatments in Sep planted crop in 2018.
Fig. 1 in Field efficacy of insecticides for management of invasive fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) on maize in India
Fig. 1. Corn yield in field efficacy treatments in Jun planted crop in 2018.
Surplus Stock Measurement and Management Tool
<p>Surplus Stock Measurement and Management Tool will enable food chain retailers to identify the food waste at source and plan their procurement and operational processes to eliminate food waste by measuring it. Company-based information will be kept in a product-based cumulative structure and analysed based on region, city, and Storage Keeping Unit (SKU) group. The first part of the tool aims to provide more reliable and validated food waste data at the retailer level. The main purpose of this development represents SKU-based exploratory data analysis by establishing a relational database structure within SKU, regional-based, season-based, etc. The second part of the tool, the Management System, will be coded in line with the Food Recovery Hierarchy. The Food Recovery Hierarchy principle will be coded into the system as a part of the decision-making process. As a result, the system will create lists of products informing the beneficiary if they are suitable for human consumption (e.g. resell, donation), animal feed, biogas production, or recycling.</p>
Supplementary Material to SBIE 2024:Achieving Project Management Educational Web-Tool Evolution Using Service-based Software
Open the record for dataset details and reuse information.
What are managed IT services?
<p>"Managed IT services" refer to IT jobs that are given to a third-party vendor. Typical managed IT services include:</p> <p>managing online help desks</p> <p>Network safety and health monitoring</p> <p>Supervision of installing and updating apps</p> <p>Using processes for business continuity and disaster recovery (BCDR)</p> <p>Subscriptions to these services let small and medium-sized businesses (SMBs) compete with bigger companies in the same field at a much lower cost. Using third-party IT service management to keep their important networks, endpoints, and data running smoothly and safely can save businesses the high costs that come with hiring their own managers.</p> <p>The Management of IT Services Model</p> <p>Managed service providers, or MSPs, deal with companies' tech needs by offering ongoing IT support, which may include setting up, installing, configuring, and monitoring networks and endpoints. Unlike traditional reactive IT services, modern MSPs look at their clients' IT systems for possible risks and ways to make it better before saying anything. then come up with a workable plan that combines software solutions and services to improve the customer's digital infrastructure and security.</p> <p>For their services, MSPs usually charge a flat, recurring fee that is broken up into levels. Customers who choose higher service levels get better processing and management from their service level agreement (SLA). To adapt to changing needs, customers can change their deals by choosing a service level that fits their business needs.</p> <p>Companies can run better and more smoothly with <a href="https://barlop.com/managed-it-services-miami/" target="_blank" rel="noopener"><strong>managed IT services</strong></a>. They also provide software-as-a-service (SaaS) options at prices that are comparable to those of organizations that provide these services themselves.</p> <p>Internal IT staff vs. managed service providers</p> <p>The common belief is that managed IT services eliminate the need for local IT staff. Internal IT staff can also act as liaisons, managing the MSP connection, making ideas, and reading reports. Managed Services Providers (MSPs) handle problems and speed up service delivery when external Security Operations Centers (SOCs) or Network Operations Centers (NOCs) are used.</p> <p>By taking care of day-to-day tasks, MSPs free up regular IT staff to work on bigger, more difficult projects that they might not have the time or means to do themselves. These resource allocations make MSPs useful for businesses of all kinds and stages of growth. By letting groups work together to solve problems, co-managed services encourage even more teamwork.</p> <p>Managed IT Services' History</p> <p>Initially, IT services were based on a "break/fix" business strategy, where technicians only fixed systems when they were broken. Although this reactive approach was cheap and required a lot of work, it was hard for technicians to grow their businesses.</p> <p>With more computers, there were fewer techs who could fix them. Therefore, when they first came out in the early 2000s, managed IT services changed the break/fix model. With this new approach, problems were stopped before they happened by focusing on proactive maintenance, regular monitoring, and quick problem resolution.</p> <p>As a result of its efficiency, ability to combine resources, focus on customer satisfaction, fixed prices, and wider range of services, managed IT has become the usual way for small and medium-sized businesses (SMBs) to keep their computers running.</p> <p>Various Types of Managed IT Services</p> <p>Depending on what their customers need, MSPs offer a wide range of services. Provided services must be in line with the business's goals, target market, and organizational structure. Included below are some examples of different types of managed IT services:</p> <p>Printing Management Companies</p> <p>Managed IT services include print management, which helps businesses get the most out of their printing processes. This area's most important goods might be:</p> <p>Centralized management of printers</p> <p>Watching and judging the cost of printing</p> <p>Buying goods automatically</p> <p>Streamlining the print processes</p> <p>Using print management services can help businesses cut costs and make their printing processes more efficient.</p> <p>Troubleshooting photocopiers</p> <p>Professional upkeep is needed to keep photocopiers working at their best. Managed IT services include the following:</p> <p>. Regular maintenance and checks</p> <p><br>Repairs and repair services</p> <p>Changing out worn-out components</p> <p>. Teaching people how to use machines properly</p> <p>Employing outside <a href="https://barlop.com/photocopier-service-repair-miami/" target="_blank" rel="noopener"><strong>photocopier repair services</strong></a> can help companies get more use out of their equipment and cut down on downtime.</p> <p>Miami Printer Rental</p> <p>Businesses that need flexible printing options can rent printers in Miami as a practical alternative. Managed IT services usually include:</p> <p>Possibilities for renting for a short or long time</p> <p>Setup and delivery of rented printers</p> <p>support and maintenance throughout the rental period</p> <p>affordable choices that meet the needs of some businesses</p> <p>Businesses can get the printing they need without having to buy permanent tools if they use these services.</p> <p>Overall, managed IT services offer a complete way to handle technology, which lets businesses be more productive while focusing on what they do best. MSPs give small and medium-sized businesses the information and tools they need to achieve in today's competitive business world. These include assistance with everything from managing prints to providing cloud services and keeping data safe.</p>
Skills and Competency Framework for Research Community Managers (Figure)
<p><strong><span>Figure 3: RCM Skills and Competency Framework: </span></strong><span>This figure illustrates a framework comprising five overarching competencies, described with 13 skills each. A total of 65 skills are categorised into core competencies in communications and engagement, and peripheral competencies in strategic contributions, technical skills, and accountability. </span></p>
Community Maturation Matrix (Illustration): Professionalising Community Management Roles in Interdisciplinary Research Projects
<p>Figure 1 (.jpg) file, editable version (.pptx) and supplementary 1 (.xlsx) for the research article: Professionalising Community Management Roles in Interdisciplinary Research Projects (July, 2024)</p> <p>Figure 1: Community Maturation Indicator: This is a framework through which maturation status for a community can be indicated at any given time as “Level of Community Participation” and “Stage of Community Building”. The Levels of Community Participation is shown in the x-axis (spanning 6 levels): Level 1: Inform Community, Level 2: Invite Feedback, Level 3: Engage and Involve, Level 4: Mobilise and Connect, Level 5: Empower Groups, and Level 6: Decentralise Power. The Stages of Community Building are shown as y-axis (spanning 6 stages): Stage 1: Initiation, Stage 2: Planning and Design, Stage 3: Implementation, Stage 4: Growth and Scaling, Stage 5: Monitoring and Evaluation, and Stage 6: Sustainability or Sunsetting. </p> <p>Supplementary 1: An example of how a community may progress its maturation levels. After the level has been identified, a CoP can start applying targeted approaches to community building, which occurs in stages. For example, at the community initiation stage of a new CoP, an RCM shares information and communicates project goals (Stage 1); at the planning and design stage, they build stakeholder awareness plans and help to prioritise specific objectives (Stage 2); at the implementation stage, they provide collaborative opportunities for specific stakeholders (Stage 3); at the growth stage, they facilitate knowledge exchange and skill building (Stage 4); and at the evaluation stage, it assesses the success of the CoP through feedback data to inform plans (Stage 5). These stages collectively affect how the project and its community can be sustained in the future or whether it should be paused (sunsetting) (Stage 6). RCMs build effective community strategies and implement creative approaches to support the development of a CoP, advancing a community from one stage to the next (Supplementary 1, Column 1 of the Community Maturation Indicators).</p> <p> </p>
Shaks management in the Southwest Atlantic
<p>This repository contains all neccesary data files to reproduce analyses in De Wysiecki et al. (Submitted).</p> <p>De Wysiecki AM, Sanchez-Carnero N, Milessi AC, & Jaureguizar AJ. Advancing management of the main predatory sharks off the Argentine coast: leveraging habitat use knowledge and historical catch data.</p>
Demo-Dataset for publication "FAIR workflows in Earth system modelling: a use case with semantic data management"
<p>This demodataset is intended to be used to test the workflow described in the publication by Lennartz & Schlemmer "FAIR workflows in Earth System modelling: a use case with semantic data management". It contains example model output for an arbitrary biogeochemical model tracer (here: dissolved organic carbon, DOC) from an ocean model as a 4-dimensional dataset (latitude, longitude, depth, time), the corresponding grid point locations as well as a textfile specifying parameter inputs for the model. The file structure is adapted for seamless integration into the workflow described in Lennartz & Schlemmer, which builds on the open source semantic research data management system LinkAhead. The dataset contains the following structure: The folder DataAnalysis stores data required for data analysis, such as the grid point locations in the file TMM_grid_v2018a.mat. The folder SimulationData stores model output in the folder 2022_TMM, containing the parameter input file nl_in.txt and the model output TR_monthly.mat. Related instructions can be accessed here: https://gitlab.com/salexan/fairworkflows-demodataset .</p>
Mean boat speed over the new NW Mediterranean PSSA on the UNEP-MAP Knowledge Management Platform
<p>This video was created to represent on KMaP (<a href="https://kmap.info-rac.org/">https://kmap.info-rac.org/</a>) mean boat speed during 2023 summer, extrapolated from AIS data taken from NETCCOBAMS (<a href="https://accobams.org/">https://accobams.org/</a>) over 1km square cells grid covering the entire <a href="https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/MEPCDocuments/MEPC.380%2880%29.pdf">new PSSA</a> (Particularly Sensitive Sea Area). The purpose of the video is to showcase the variation of the mean speed of all the boats travelling through each cell of the grid on weekly basis, from the 5th of June to the 2nd of September 2023 and represents a starting point to simulate how AIS data could be used to monitor cetacean-boats strike risk.</p>
Table 2 in Changes in a soil microarthropod community in the vicinity of dominant tree species under trampling management at the Safari Zoological Center, Israel
<p><b>Table 2</b> Mean values (± SD) of soil physical and chemical parameters at different treatment sites at the Safari Zoological Center, Israel, December 2013. SM = soil moisture, OM = organic matter, pH = soil pH, SEC = soil electrical conductivity, SD = soil density, WHC = water-holding capacity. OE = open places under enclosure conditions, OT = open places under trampling conditions; EE <i>E.</i> = <i>camaldulensis</i> canopy habitat under enclosure conditions, ET = <i>E</i>. <i>camaldulensis</i> canopy habitat under trampling conditions, TE <i>T</i> =. <i>aphylla</i> canopy habitat under enclosure conditions, TT = <i>T. aphylla</i> canopy habitat under trampling conditions, CE = <i>C</i>. <i>sempervirens</i> canopy habitat under enclosure conditions, CT = <i>C. sempervirens</i> canopy habitat under trampling conditions. Different letters in the same column represent significant difference <i>p</i> at <0.05.</p><table><tbody><tr><th></th><th>SM (%)</th><th>OM (%)</th><th>pH</th><th>SEC (µ -1) cm</th><th>SD (g -3) cm</th><th>WHC (%)</th></tr></tbody><tbody><tr><th>OE</th><td>25.6±3.4a</td><td>1.1±0.2b</td><td>7.5±0.2b</td><td>87.6±17.5d</td><td>1.1±0.0b</td><td>53.6±0.9ab</td></tr><tr><th>OT</th><td>7.8±1.7c</td><td>0.2±0.0e</td><td>7.6±0.0b</td><td>150.3±51.3c</td><td>1.6±0.0a</td><td>25.6±1.0c</td></tr><tr><th>EE</th><td>16.6±1.6b</td><td>1.3±0.2b</td><td>7.6±0.0b</td><td>130.2±9.4cd</td><td>1.0±0.1c</td><td>52.6±11.1ab</td></tr><tr><th>ET</th><td>23.2±3.8a</td><td>2.0±0.3a</td><td>7.6±0.0b</td><td>255.3±39.6ab</td><td>1.1±0.0bc</td><td>31.9±3.5c</td></tr><tr><th>TE</th><td>21.9±4.4ab</td><td>0.4±0.1d</td><td>7.9±0.0a</td><td>152.0±17.8c</td><td>1.0±0.1c</td><td>52.1±14.6ab</td></tr><tr><th>TT</th><td>14.1±5.2b</td><td>1.1±0.1b</td><td>7.6±0.1b</td><td>254.1±48.0ab</td><td>1.0±0.1c</td><td>43.3±6.2b</td></tr><tr><th>CE</th><td>26.9±3.4a</td><td>0.8±0.3c</td><td>7.6±0.1b</td><td>209.9±22.5b</td><td>1.0±0.1c</td><td>56.3±5.8a</td></tr><tr><th>CT</th><td>22.0±6.0ab</td><td>0.5±0.2d</td><td>7.8±0.1a</td><td>275.9±21.9a</td><td>1.0±0.0c</td><td>43.0±3.9b</td></tr></tbody></table>
Table 3 in Changes in a soil microarthropod community in the vicinity of dominant tree species under trampling management at the Safari Zoological Center, Israel
<p><b>Table 3</b> Effects of sampling habitat (“Habitat”), trampling management (“Trampling”), and their interaction on soil parameters, abundance of soil microarthropods, and diversity indices of soil Acari at the Safari Zoological Center, Israel, December 2013 (General linear model, α = 0.05). * <i>p</i> <0.05, ** <i>p</i> <0.01, *** <i>p</i> <0.001.</p><table><tbody><tr><th><b>Microarthropods</b></th><th><i>d</i> <i>f</i></th><th><i>F</i></th><th><b>Soil parameters</b></th><th><i>d</i> <i>f</i></th><th><i>F</i></th></tr></tbody><tbody><tr><th><b>Total microarthropod abundance</b></th><td></td><td></td><td><b>Soil moisture</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>15.85***</td><td>Model</td><td>8</td><td>109.38***</td></tr><tr><th>Trampling</th><td>1</td><td>39.13***</td><td>Trampling</td><td>1</td><td>18.46***</td></tr><tr><th>Habitat</th><td>3</td><td>1.65</td><td>Habitat</td><td>3</td><td>5.90**</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>4.89**</td><td>Trampling * Habitat</td><td>3</td><td>12.84***</td></tr><tr><th><b>Collembola abundance</b></th><td></td><td></td><td><b>Organic matter</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>4.90**</td><td>Model</td><td>8</td><td>116.32***</td></tr><tr><th>Trampling</th><td>1</td><td>11.18**</td><td>Trampling</td><td>1</td><td>0.05</td></tr><tr><th>Habitat</th><td>3</td><td>2.29</td><td>Habitat</td><td>3</td><td>48.99***</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>2.56</td><td>Trampling * Habitat</td><td>3</td><td>32.99***</td></tr><tr><th><b>Other arthropod abundance</b></th><td></td><td></td><td><b>Soil pH</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>1</td><td>Model</td><td>8</td><td>35120.21***</td></tr><tr><th>Trampling</th><td>1</td><td>1.8</td><td>Trampling</td><td>1</td><td>0.5</td></tr><tr><th>Habitat</th><td>3</td><td>0.73</td><td>Habitat</td><td>3</td><td>4.69*</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>0.73</td><td>Trampling * Habitat</td><td>3</td><td>13.93***</td></tr><tr><th><b>Soil Acari abundance</b></th><td></td><td></td><td><b>Electrical conductivity</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>18.85***</td><td>Model</td><td>8</td><td>156.31***</td></tr><tr><th>Trampling</th><td>1</td><td>43.09***</td><td>Trampling</td><td>1</td><td>61.80***</td></tr><tr><th>Habitat</th><td>3</td><td>0.88</td><td>Habitat</td><td>3</td><td>20.89***</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>3.60*</td><td>Trampling * Habitat</td><td>3</td><td>1.76</td></tr><tr><th><b>Taxon richness of soil Acari</b></th><td></td><td></td><td><b>Soil density</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>16.11***</td><td>Model</td><td>8</td><td>1769.86***</td></tr><tr><th>Trampling</th><td>1</td><td>34.68***</td><td>Trampling</td><td>1</td><td>57.12***</td></tr><tr><th>Habitat</th><td>3</td><td>3.17*</td><td>Habitat</td><td>3</td><td>82.99***</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>1.23</td><td>Trampling * Habitat</td><td>3</td><td>36.99***</td></tr><tr><th><b>Shannon index of soil Acari</b></th><td></td><td></td><td><b>Water-holding capacity</b></td><td></td><td></td></tr><tr><th>Model</th><td>8</td><td>18.88***</td><td>Model</td><td>8</td><td>155.49***</td></tr><tr><th>Trampling</th><td>1</td><td>51.07***</td><td>Trampling</td><td>1</td><td>45.98***</td></tr><tr><th>Habitat</th><td>3</td><td>4.03*</td><td>Habitat</td><td>3</td><td>3.22*</td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>0.78</td><td>Trampling * Habitat</td><td>3</td><td>2.6</td></tr><tr><th><b>Simpson index of soil Acari</b></th></tr><tr><th>Model</th><td>8</td><td>13.42***</td><td></td><td></td><td></td></tr><tr><th>Trampling</th><td>1</td><td>0</td><td></td><td></td><td></td></tr><tr><th>Habitat</th><td>3</td><td>7.47**</td><td></td><td></td><td></td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>5.22**</td><td></td><td></td><td></td></tr><tr><th><b>Evenness index of soil Acari</b></th></tr><tr><th>Model</th><td>8</td><td>42.11***</td><td></td><td></td><td></td></tr><tr><th>Trampling</th><td>1</td><td>120.61***</td><td></td><td></td><td></td></tr><tr><th>Habitat</th><td>3</td><td>3.68*</td><td></td><td></td><td></td></tr><tr><th>Trampling * Habitat</th><td>3</td><td>1.82</td><td></td><td></td><td></td></tr></tbody></table>
Table 1 in Changes in a soil microarthropod community in the vicinity of dominant tree species under trampling management at the Safari Zoological Center, Israel
<p><b>Table 1</b> Sampling design (replication = 4) for sites at the Safari Zoological Center, Israel, December 2013. Herbaceous ground cover: +++ patchy; + a few plants, – no plants. OE = open places under enclosure conditions, OT = open places under trampling conditions; EE <i>E</i> =. <i>camaldulensis</i> canopy habitat under enclosure conditions, ET = <i>E. camaldulensis</i> canopy habitat under trampling conditions, TE <i>T</i> =. aphylla canopy habitat under enclosure conditions, TT <i>T</i> =. <i>aphylla</i> canopy habitat under trampling conditions, CE = <i>C</i>. <i>sempervirens</i> canopy habitat under enclosure conditions, CT = <i>C</i>. <i>sempervirens</i> canopy habitat under trampling conditions.</p><table><tbody><tr><th>Habitat</th><th>Code</th><th>Treatment</th><th>Tree height (m)</th><th>Tree canopy crown (m2)</th><th>Herbaceous vegetation</th><th>Soil physical/biological top layer</th><th>Litter layer (cm)</th></tr></tbody><tbody><tr><th>Open spaces</th><td>OT OE</td><td>Trampling Enclosure</td><td>- -</td><td>- -</td><td>No +++</td><td>No Physical top layer</td><td>No No</td></tr><tr><th><i>E. camaldulensis</i></th><td>ET EE</td><td>Trampling Enclosure</td><td>10-13</td><td>6×8</td><td>No +</td><td>No Biological top layer</td><td>No 2-3</td></tr><tr><th><i>T. aphylla</i></th><td>TT TE</td><td>Trampling Enclosure</td><td>14-16</td><td>8×8</td><td>No +++</td><td>No Physical top layer</td><td>No Few</td></tr><tr><th><i>C. sempervirens</i></th><td>CT CE</td><td>Trampling Enclosure</td><td>14-16</td><td>7×9</td><td>No +</td><td>No Biological layer</td><td>No 1-2</td></tr></tbody></table>
From forest strategy to measures: what are forest owner attitudes & area size responses toward climate-proof forest management in Sweden and the Netherlands?
<p>The anonymous datasets from Swedish (records of 98 responses) and Dutch forest climate surveys (records of 241 responses), which are used for the statistical Kruskal Wallis tests, are freely available and accessible via this repository database (https://zenodo.org), as prescribed by the FAIR data policy of the Forclimit project sponsors. </p> <p>The surveys and the Small Scale Forestry article are deliverables of the European 2017-2020 Forclimit project "<em>Mobilizing and monitoring climate positive efforts in the forest sector" </em>The umbrella of the project is FACCE ERA-GAS, i.e. ERA-NET <em>co-fund for monitoring & mitigation of GHG from agriculture and sylviculture </em>(Horizon2020, award # 696356)<em>. </em>The other co-funders are the Dutch research council 'NWO' (grant award # 516-095-7542) and its Swedish equivalent 'FORMAS' (grant award # 2017-01751). </p>
ScienceDex guides
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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.