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1,648 results for “farm”
Year 2017, meteorological data, 15 minute intervals, from the PIE LTER Marshview Farm weather station located in Newbury, MA
Year 2017 meteorological measurements at MBL Marshview Farm of air temperature, humidity, precipitation, solar radiation, photosynthetically active radiation (PAR), wind speed and direction and barometric pressure. Sensors conduct measurements every 5 secs and measurements are reported as averages or totals for 15 minute intervals. 15 minute averages are reported for air temperature, humidity, solar radiation, PAR, wind speed and direction and barometric pressure. 15 minute totals are reported for precipitation.
Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments - data sets
<p>Data sets of the wind tunnel experiments described in "Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments". DOI: https://doi.org/10.5194/wes-2019-50</p>
Crop production and water use variables of Canarian farms
<p>This database is part of the Deliverable 6.7 ‘<a href="https://magic-nexus.eu/documents/deliverable-d67-alternative-water-sources-innovation">Quality Check on the innovation alternative water resources</a>’ of the Horizon 2020 project MAGIC (GA689669) and of the related publication: Monterrey-Viña A, Musicki-Savic A, Díaz-Peña FJ & Peñate-Suárez B (2020), 'Technical and agronomical assessment of the use of desalinated seawater for coastal irrigation in an insular context', <em>Water </em>12(1), 272, doi: 10.3390/w12010272.</p> <p>The database contains two datasets with farm agricultural and water management descriptive variables in two agricultural areas of Gran Canaria and Tenerife, Canary Islands. </p>
Data from: Spatial patterning of soil microbial communities created by fungus-farming termites
<p><span><span><span><span><span><span><span><span><span><span><span>Spatially overdispersed mounds of fungus-farming termites (Macrotermitinae) are hotspots of nutrient availability and primary productivity in tropical savannas, creating spatial heterogeneity in communities and ecosystem functions. These termites influence the local availability of nutrients in part by redistributing nutrients across the landscape, but the links between termite ecosystem engineering and the soil microbes that are the metabolic agents of nutrient cycling are little understood. We used DNA metabarcoding of soils from <i>Odontotermes montanus</i> mounds to examine the influence of termites on soil microbial communities in a semi-arid Kenyan savanna. We found that bacterial and fungal communities were compositionally distinct in termite-mound topsoils relative to the surrounding savanna, and that bacterial communities were more diverse on mounds. The higher microbial alpha and beta diversity associated with mounds created striking spatial patterning in microbial community composition, and boosted landscape-scale microbial richness and diversity. Selected enzyme assays revealed consistent differences in potential enzymatic activity, suggesting links between termite-induced heterogeneity in microbial community composition and the spatial distribution of ecosystem functions. We conducted a large-scale field experiment in which we attempted to simulate termites' effects on microbes by fertilizing mound-sized patches; this altered both bacterial and fungal communities, but in a different way than natural mounds. Elevated levels of inorganic nitrogen, phosphorus, and potassium may help to explain the distinctive fungal communities in termite-mound soils, but cannot account for the distinctive bacterial communities associated with mounds.</span></span></span></span></span></span></span></span></span></span></span></p>
Food Chain pilot raw data - Farm, Transportation, Warehouse
<p>Daily GDD (Growing Degree-day) data collected by a weather station involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Handover, temperature, presence data collected in a transportation vehicle (farm to warehouse, warehouse to supermarket) involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Temperature, humidity data collected in a warehouse involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p>
Solar panels and solar farms in the UK - geographic open data (UKPVGeo)
<p>We present the results of a major crowd-sourcing campaign to create open geographic data for over 260,000 solar PV installations across the UK, covering the vast majority of the capacity in the country. We focus in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but was until now very poorly documented.</p> <p>The data we introduce will enable decarbonisation at national scales, through forecasting and management of generation, and also serves as a training dataset for machine vision detection of new PV.</p> <p>For a complete description please see <a href="https://www.nature.com/articles/s41597-020-00739-0">the research paper describing the dataset</a>. Please cite this paper in any academic use of the data.</p>
Data from: Shade trees preserve avian insectivore biodiversity on coffee farms in a warming climate
<p>Includes a dataset of avian insectivore occurance data from 77 avian insectivores from 1970 to 2018 used in "Shade trees preserve avian insectivore biodiversity on coffee farms in a warming climate" downloaded from GBIF. Also included are full Maxent models and raster projections for the best selected model for each species for all climate scenarios, as well as a file on which threshold was selected for each species. Also included is all R code used to generate the results, coffee farm locations where bird richness was estimated, and iButton temperature files.</p>
Multi-omics analysis reveals the glycolipid metabolism response mechanism in the liver of Genetically Improved Farmed Tilapia (GIFT, Oreochromis niloticus) under hypoxia stress
<p><span><b>Background: </b>Dissolved oxygen (DO) in the water is a vital abiotic factor in aquatic animal farming. A hypoxic environment affects the growth, metabolism, and immune system of fish. Glycolipid metabolism is a vital energy pathway under acute hypoxic stress, and it plays a significant role in the adaptation of fish to stressful environments. In this study, we used multi-omics integrative analyses to explore the mechanisms of hypoxia adaptation in Genetically Improved Farmed Tilapia (GIFT, <i>Oreochromis niloticus</i>). </span></p> <p><span><b>Results:</b><b> </b>The 96 h median lethal hypoxia (96h-LH50) for GIFT was determined by linear interpolation. We established control (DO: 5 mg/L) groups (CG) and hypoxic stress (96h-LH50) groups (HG) and extracted liver tissues for high-throughput transcriptome and metabolome sequencing. A total of 581 differentially expressed (DE) genes and 1250 DE metabolites were detected between CG and HG, and were annotated using tools at the KEGG database. We verified the transcript levels of eight DE genes by quantitative real-time PCR.</span></p> <p><span><b>Conclusions: </b>Analyses of essential glycolipid metabolism pathways of GIFT under hypoxia stress showed that, after 96 h of hypoxia stress, lipid metabolism became the primary metabolic pathway in GIFT. Our findings reveal the changes in metabolites and gene expression that occur under hypoxia stress, and shed light on the regulatory pathways that function under such conditions. Ultimately, this information will be useful to devise strategies to decrease the damage caused by hypoxia stress in farmed fish.</span></p>
Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
<p>Abstract:</p> <ol> <li>The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgression. Our ability to link aquaculture production to farmed escaped salmon in rivers is still limited and hinders identifying the appropriate production capacity of salmon aquaculture to reduce unwanted interactions between wild and escaped Atlantic salmon. </li> <li>Here, we use a 14-year dataset of farmed escapee abundance in rivers to model how the a priori selected covariables of wild salmon abundance, aquaculture intensity, river discharge, hydropower, and fjord placement of the river affects escapee abundance across 54 rivers in western Norway. Then, we evaluate the predictive strength of the model to provide context for its use to minimize escapees. </li> <li>We found that the abundance of farmed escaped Atlantic salmon in rivers is correlated to aquaculture intensity. Furthermore, the abundance of wild Atlantic salmon, mean yearly discharge, and the interaction between fjord placement and wild salmon abundance were important predictors of escapee abundance in rivers. </li> <li>The model was 40% accurate when predicting the abundance of farmed escaped salmon in rivers. However, the accuracy improved to 75% when using risk categories derived from modeled intrusion rates that induced long-term genetic changes to the wild population (low < 4%, medium 4 – 10%, and high > 10% escaped farmed salmon).</li> <li><em>Synthesis and applications: </em>This study links aquaculture production, at relevant spatiotemporal scales (75 km from rivers), to the abundance of escaped farmed Atlantic salmon in rivers, and provides governmental agencies with a tool to help regulate domesticated salmon production based on the carrying capacity of the system to buffer against introgression between conspecifics. Furthermore, understanding this relationship will be beneficial when establishing new aquaculture sites in pristine ecosystems where they would overlap with wild Atlantic salmon. Finally, future mitigation efforts should continue to focus on new technologies (e.g., triploid females) that can eliminate the risk of introgression without limiting aquaculture production.</li> </ol> <p> </p> <p> </p> <p> </p>
Wind farm power short-term prediction using WRF model and Kalman filtering
<p>This repository contains the data used and generated in the paper:</p> <p>Mamani, R., & Hendrick, P. (2019). Wind farm power short-term prediction using WRF model and Kalman filtering. ECOS 2019</p>
Castlebanny Wind Farm, Co' Kilkenny: Gittings Nagle Meade bird survey datasets
<p>Bird survey datasets from surveys carried out by the Gittings Nagle Meade (GNM) survey team for the Castlebanny Wind Farm, Co. Kilkenny, Ireland, 2016-2018. For further details about these surveys see: Gittings, T. (2020b).<em> Castlebanny Wind Farm, Co. Kilkenny: Ornithological Desk Review and Survey Report</em>. Included as Appendix 1 of the Ornithology chapter in the Castlebanny Wind Farm Environmental Impact Assessment Report.</p>
Food Chain pilot raw data - Farm, Transportation, Warehouse
<p>Daily GDD (Growing Degree-day) data collected by a weather station involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Handover, temperature, presence data collected in a transportation vehicle (farm to warehouse, warehouse to supermarket) involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Temperature, humidity data collected in a warehouse involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p>
What is SURE-Farm?
<p>Europe’s agricultural sector faces a range of economic, environmental and social challenges, including more volatile producer prices, new competitors in internationalised and liberalised markets, unusual weather patterns and higher risks of extreme weather events, upstream and downstream market power along the value chain, private standards, increasing dependence on non-farm land owners and financial institutions, demographic change and increasing urbanisation, changing policies and political risks as well as changing societal concerns and consumer preferences. The accumulation of these uncertainties and their potentially complex interconnections lead to concerns about the long term viability of food and other agricultural production, the sustainability of agricultural systems, the vitality of rural areas and the delivery of ecosystem services.</p> <p>SURE-Farm aims to analyze, assess and improve the resilience and sustainability of farms and farming systems in the EU. For this purpose, SURE-Farm creates scenarios and a novel and comprehensive resilience-enabling framework, develops a set of advanced risk assessment and management tools as well as an improved demographic assessment model and a resilience assessment tool for policies, and in conjunction with stakeholders, co-creates and applies an integrated resilience assessment model and co-designs implementation roadmaps.</p> <p>SURE-Farm contributes to the work programme on Sustainable Food Security – resilient and resource efficient value chains, whose aim is to identify solutions to the various challenges affecting the resilience of food value chains from primary production to final consumers. More specifically this proposal addresses SFS-31.</p>
SURE-Farm at a glance
<p>Europe’s agricultural sector faces a range of economic, environmental and social challenges, including more volatile producer prices, new competitors in internationalised and liberalised markets, unusual weather patterns and higher risks of extreme weather events, upstream and downstream market power along the value chain, private standards, increasing dependence on non-farm land owners and financial institutions, demographic change and increasing urbanisation, changing policies and political risks as well as changing societal concerns and consumer preferences. The accumulation of these uncertainties and their potentially complex interconnections lead to concerns about the long term viability of food and other agricultural production, the sustainability of agricultural systems, the vitality of rural areas and the delivery of ecosystem services.</p> <p>SURE-Farm aims to analyze, assess and improve the resilience and sustainability of farms and farming systems in the EU. For this purpose, SURE-Farm creates scenarios and a novel and comprehensive resilience-enabling framework, develops a set of advanced risk assessment and management tools as well as an improved demographic assessment model and a resilience assessment tool for policies, and in conjunction with stakeholders, co-creates and applies an integrated resilience assessment model and co-designs implementation roadmaps.</p> <p>SURE-Farm contributes to the work programme on Sustainable Food Security – resilient and resource efficient value chains, whose aim is to identify solutions to the various challenges affecting the resilience of food value chains from primary production to final consumers. More specifically this proposal addresses SFS-31.</p>
Data from: Maize-field complexity and farming system influence insectivorous birds' contribution to arthropod herbivore regulation
The contribution of insectivorous birds to reducing crop damage through suppression of herbivory remains underappreciated, despite their role as cropland arthropod predators. We examined the roles of farming system crop cover pattern and structural configuration in influencing assemblage composition of insectivorous birds and their herbivorous arthropod prey across maize fields, and determined how bird exclusion affects crop herbivory levels. To achieve these objectives, data were collected across a sample of organic and conventional small-scale non-Bt maize farms in western Kenya. Assessments of abundance, diversity and richness of insectivorous birds, and abundance of their arthropod prey, were compared between organic and conventional small-scale non-Bt maize on monocultured and intercropped farms. We also employed bird exclusion experiments to assess impacts of bird predation on herbivorous arthropod abundance. Results showed that higher structural heterogeneity supported higher insectivorous bird richness, particularly under organic systems, dense trees, large woodlots and thick hedgerows. Bird abundance further increased with crop diversity but not in relation to cropping method, hedgerow type or percent maize cover per se. Conversely, herbivorous arthropod abundance and richness increased on conventional farms and those with higher percent maize cover, but were unaffected by cropping methods, tree or hedgerow characteristics. Birds' arthropod prey were more abundant under completely closed compared to open or semi-closed plots, confirming a significant linkage between birds and herbivorous arthropod suppression. In this study, we demonstrate importance of structural heterogeneity in agricultural landscapes, including diverse croplands and on-farm trees to maximize insectivorous birds' contribution to reducing crop arthropod herbivory.
Data from: Highly diversified crop-livestock farming systems reshape wild bird communities
<p>Agricultural intensification is a leading threat to bird conservation. Highly diversified farming systems that integrate livestock and crop production might promote a diversity of habitats useful to native birds foraging across otherwise-simplified landscapes. At the same time, these features might be attractive to non-native birds linked to a broad range of disservices to both crop and livestock production. We evaluated the influence of crop-livestock integration on wild bird richness and density along a north-south transect spanning the U.S. west coast. We surveyed birds on 52 farms that grew primarily mixed vegetables and fruits alone or integrated livestock into production. Crop-livestock systems harbored higher native bird density and richness relative to crop only farms, a benefit more pronounced on farms embedded in non-natural landscapes. Crop-livestock systems bolstered native insectivores linked to the suppression of agricultural pest insects but did not bolster native granivores that may be more likely to damage crops. Crop-livestock systems also significantly increased the density of non-native birds, primarily European starlings (<i>Sturnus vulgaris</i>) and house sparrows (<i>Passer domesticus</i>) that may compete with native birds for resources. Models supported a small, positive correlation between non-native density and overall native bird density as well as between non-native density and native granivore density.<a name="_Hlk19446924">Relative to crop-only farms, on average crop-livestock systems exhibited 1.5 times higher patch richness, 2.4 times higher density of farm structures, 7.3 times smaller field sizes, 2.4 times greater integration of woody crops, and 5.3 times greater integration of pasture/hay habitat on farm.</a> Wild birds may have responded to this habitat diversity and/or associated food resources. Individual farm factors had significantly lower predictive power than farming system alone (ΔCIC = 80.2), suggesting crop-livestock systems may impact wild birds through a suite of factors that change with system conversion. Collectively, our findings suggest that farms that integrate livestock and crop production can attract robust native bird communities, especially within landscapes devoted to intensified food production. However, additional work is needed to demonstrate persistent farm bird communities through time, eco-physiological benefits to birds foraging on these farms, and net effects of both native and non-native wild birds in agroecosystems. </p>
Integrated genome-wide investigations of the housefly, a global vector of diseases reveal unique dispersal patterns and bacterial communities across farms
<p><span><span><span><span><span><span><span><span><span><span><span><b>Background:</b>Houseflies (<i>Musca domestica</i>L.) live in intimate association with numerous microorganisms and is a vector of human pathogens. In temperate areas, houseflies will<span>overwinter in environments constructed by humans and recolonize surrounding areas in early summer. However, the </span>dispersal patterns and associated bacteria across season and location are unclear.We used genotyping-by-sequencing (GBS) for the simultaneous identification and genotyping of thousands of Single Nucleotide Polymorphisms (SNPs) to establish dispersal patterns of houseflies across farms. Secondly, we used16S rRNA gene amplicon sequencing to establish the variation and association between bacterial communities and the housefly across farms. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>Using GBS we identified 18,000 SNPs across 400 individualssampled within and between 11 dairy farms in Denmark. There was evidence for sub-structuring of Danish housefly populations and with genetic structure that differed across season and sex. Further, there was a strong isolation by distance (IBD) effect, but with large variation suggesting that other hidden geographic barriers are important. Large individual variations were observed in the community structure of the microbiome and it was found to be dependent on location, sex, and collection time. Furthermore, the relative prevalence of putative pathogens was highly dependent on location and collection time.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusion:</b>We were able to identify SNPs for the determination of the spatiotemporal housefly genetic structure, and to establish the variation and association between bacterial communities and the housefly across farms using novel <span>next</span><span>‐</span><span>generation sequencing (NGS)</span>techniques. These results are important for disease prevention given the fine-scale population structure and IBD for the housefly, and that individual houseflies carry location specific bacteria including putative pathogens. </span></span></span></span></span></span></span></span></span></span></span></p>
Abandoned millstones at Oakwood Farm
A couple of abandoned millstones ready for market but never shipped. Two of many finished, half-finished, or just started grindstones scattered amongst the boulders of these slopes at the southern tip of the Pennines in the Peak District National Park. (A millstone is also the symbol of the national park.) The rock is a medium to coarse grained sandstone of the Carboniferous Period. The diameter of these stones is larger than most at around 1.8 m. They were usually cut from suitable rocks on site (the one they are leaning on might have been the next job) and used for grinding, crushing and sharpening depending on the grain size of the rock. The stones have different shapes for this range of uses. Many lie abandoned like these due to changes in technology impacting sales in the 18th and 18th century. I used a drone to photo them from all angles then processed using Agisoft. Any suggestions for improvements are welcome. Source: Objaverse 1.0 / Sketchfab
Cannonball from Mont St. Jean Farm
WAT19MSJ cannonball, possibly fired from the horse artillery of the French Imperial Guard. Source: Objaverse 1.0 / Sketchfab
Egg Carton From Muslim Farms
Smithsonian source data can be found [here](https://ids.si.edu/ids/media_view?id=3d_package:060947f2-4cb8-4f3b-98d7-61a7254842b0) This media file is in the public domain (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For more information and to review the 3D disclaimer, visit the Smithsonian's [Terms of Use](https://www.si.edu/Termsofuse) page. Egg Carton From Muslim Farms Manufactured by: Muslim Farms, Inc., American Used by: Nation of Islam, American, founded 1930 Medium: ink on cardboard Dimensions: H x W: 2 1/2 x 11 1/8 x 3 3/4 in. (6.4 x 28.3 x 9.5 cm) Type: egg baskets Place Used: Cassopolis, Cass County, Michigan, United States, North and Central America Date: 1968 Credit Line: Collection of the Smithsonian National Museum of African American History and Culture, Gift of the family of Becca Nu'Mani Data Source: National Museum of African American History and Culture EDAN-URL: edanmdm:nmaahc_2013.39.7 Source: Objaverse 1.0 / Sketchfab
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.