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1,648 results for “farm”
Fig. 5 in Weight-length relationship, condition factor and blood parameters of farmed Cichla temensis Humboldt, 1821 (Cichlidae) in central Amazon
Fig. 5. Blood cells in tucunaré C. temensis stained by MGGW. A - Erythrocytes, B - Polychromatic erythroblasts, C - Neutrophil, D - Monocyte, E - Lymphocyte, and F - Thrombocytes. Scale bars = 5 μm.
Fig. 3 in Weight-length relationship, condition factor and blood parameters of farmed Cichla temensis Humboldt, 1821 (Cichlidae) in central Amazon
Fig. 3. Relationshipbetweenhematocritandredbloodcells (r = 0.950; p<0.001) in C. temensis (n = 40) farmed in central Amazon.
Fig. 4 in Weight-length relationship, condition factor and blood parameters of farmed Cichla temensis Humboldt, 1821 (Cichlidae) in central Amazon
Fig. 4. Relationship between hematocrit and hemoglobin concentration (r = 0.860; p<0.001) in C. temensis (n = 40) farmed in central Amazon.
Balancing profitability of energy production, societal impacts and biodiversity in offshore wind farm design
<p>Dataset related to the article: Virtanen, E.A., Lappalainen, J., Nurmi, M., Viitasalo, M., Tikanmäki, M., Heinonen, J., Atlaskin, E., Kallasvuo, M., Tikkanen, H., Moilanen, A. (2022) Balancing profitability of energy production, societal impacts and biodiversity in offshore wind farm design. Renewable and Sustainable Energy Reviews 158, 112087.</p> <p>Dataset includes suitability maps for offshore windfarms, where priority values are scaled between 0-1 (note the reversed value scale): analysis solution (A) economy, (B) society, (C) biodiversity, (D) restrictions, (E) A+B+C without restrictions and (F) A+B+C with restrictions. Dataset includes also the conflict map (and R script), where each three main solutions (A, B, C) are mapped onto an RGB color composite map. </p> <p>Additional details can be found from the published article: <a href="https://doi.org/10.1016/j.rser.2022.112087">https://doi.org/10.1016/j.rser.2022.112087</a></p>
Raw survey data for the EU H2020 Blue Growth Farm project
<p>Raw survey data for four surveys completed in two locations (Isle of Islay - Scotland, and Reggio Calabria - Italy), two years apart (2019 and 2021) for the EU H2020 Blue Growth Farm project. </p> <p>The main questions were designed to collect opinions on each of the component parts of an Multifunctional Offshore Installation (Offshore Wind Energy and Fish Farming), before asking about opinions on the integrated platform and its location, with the aim to understand the local context for Social License to Operate. </p>
Continuous synthesis of 5-hydroxymethylfurfural from biomass in on-farm biorefinery
<p>The file contains the raw data for a paper presenting the HMF synthesis from biomass- miscanthus and chicory roots and sugars-fructose and glucose.</p>
Bacterial community composition of bulk soil from date palm (Phoenix dactylifera) farm depend on irrigation water salinity
<p>Non-saline and saline ground water irrigation is extensively used in the arid regions of United Arab Emirates (UAE) for date palm (<em>Phoenix</em> <em>dactylifera</em>) cultivation without knowing its effect on bulk soil bacterial communities. Bulk soil acts as a supply base for microbes and nutrients that are accessed by date palm roots. We collected soil samples from date farms across UAE and performed V3-V4 16s rRNA metabarcoding analysis to understand how bulk soil bacterial diversity and communities respond to irrigation water sources (non-saline and saline groundwater irrigation). There was no significant variation in bulk bacterial diversity (Shannon diversity, richness as well as evenness). But bulk bacterial communities differed between irrigation water sources and irrigation water electrical conductivity was the significant factor that explained a part of community variation. Out of total 5089 OTUs, saline bulk soil harbored only 21.3% of total OTUs compared to 31.5% OTUs in non-saline bulk soil, while 47.15% OTUs shared between both types of irrigation. Proteobacteria abundance was higher in saline bulk soil, while Actinobacteriota abundance was enhanced in non-saline bulk soil. Similar selection was observed at genus level, wherein saline bulk soil showed increase in abundance of <em>Subgroup_10, Nitrospira </em>and<em> Mycobacterium</em>, whereas <em>Microvirga, Ammoniphilus, Nitrospira</em> and <em>Lysinibacillus </em>were elevated in non-saline bulk soil. Saline (<em>Novibacillus</em> and <em>Bauldea</em>) and non-saline bulk soil (<em>Microvirga</em>, <em>Marmoricola</em>, <em>Domibacillus</em>, <em>Oceanobacillus</em>, <em>Bhargavaea</em> and <em>Solirubrobacter</em>) showed significant selection of indicator taxa (P < 0.05). This indicate that bacterial communities colonizing bulk soil differ depending on irrigation water source and it is affected by irrigation water EC.</p>
Trajectories for EmrE (faRM)
<p>These are the molecular dynamics trajectories for a refined EmrE model, as described by Vermaas et al. 2016. There are 25 trajectories total, each with 1001 frames. 5 trajectories are for the doubly deprotonated (apo) state, 5 have a proton on the "A" monomer (PA), 5 on the "B" monomer (PB), 5 are protonated on both glutamate residues (Protonated), and 5 are doubly deprotonated states with TPP+ bound. To load a trajectory in VMD, one might do the following:</p> <pre><code>mol new Apo-01.psf mol addfile Apo-01.dcd waitfor all</code></pre> <p>For PyMol, the following is recommended:</p> <pre><code>load Apo-01.pdb load_traj Apo-01.dcd</code></pre> <p> </p>
Fig. 1 in Bird Lice (Mallophaga, Philopteridae, Menoponidae) Of Domestic Pigeons On Specialized Pigeon Breeding Farms In Poltava
Fig. 1. Fam. Philopteridae: а — Columbicola columbae — general view; b — Companulotes compare — head;
Fig. 3 in Bird Lice (Mallophaga, Philopteridae, Menoponidae) Of Domestic Pigeons On Specialized Pigeon Breeding Farms In Poltava
Fig. 3. Fam. Menoponidae: a — Bonomiella columbae — general view; b — Hohorstiella lata— general view.
Data_Temporal_and_inter-farm_variability
<p>Data belonging to the manuscript "Temporal and inter-farm variability of economic and environmental farm performance: a resilience perspective on potato producing regions in the Netherlands?"</p>
Code and Additional Files for the Manuscript "The Impact of Farming Practices on Resistance to Critically Important Antimicrobials in ESBL or AmpC-producing Escherichia coli in Thailand"
<p>These scripts were used in the"The Impact of Farming Practices on Resistance to Critically Important Antimicrobials in ESBL or AmpC-producing Escherichia coli in Thailand" manuscript. The scripts are ordered for ease of use. It also contains intermediate files and files necessary for the mapping. Table S1 containing the metadata is available in the supplementary information of the manuscript.</p>
Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia
<p>We all authors have done this research entitled ‘’<strong>Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia’’ </strong>for disseminating the result of our finding to the scientific community. The research has its strength as we did on chicken brooding farms which are the emerging production system in Ethiopia context and women and young cooperatives are highly engaged in this business but they have faced health-related problems in their management system. Therefore, this research was initiated based on practical challenges observed by the authors during professional support to brooding farm owners. This research aimed to estimate the prevalence of Salmonellosis and its potential factors with their antibiotic resistance pattern in the study area because there is irrational use of antibiotics among human and animal health in the study area this might have a source of development of drug resistance in Ethiopia and the study area in particular. Furthermore the study focus on bacteriological analysis, risk factor association and drug sensitivity test due to the limitation of resource that can be baseline data for characterization.</p>
Over the hills and through the farms: Land use and topography influence genetic connectivity of northern leopard frog (Rana pipiens) in the Prairie Pothole Region
<p><em>Context</em></p> <p>Agricultural land-use conversion has fragmented prairie wetland habitats in the Prairie Pothole Region (PPR), an area with one of the most wetland-dense regions in the world. This fragmentation can lead to negative consequences for wetland obligate organisms, heightening risk of local extinction and reducing evolutionary potential for populations to adapt to changing environments.</p> <p><em>Objectives</em></p> <p>This study models biotic connectivity of prairie-pothole wetlands using landscape genetic analyses of the northern leopard frog (<em>Rana pipiens</em>) to: (1) identify population structure and (2) determine landscape factors driving genetic differentiation and possibly leading to population fragmentation.</p> <p><em>Methods</em></p> <p>Frogs from 22 sites in the James River and Lake Oahe river basins in North Dakota were genotyped using Best-RAD sequencing at 2868 bi-allelic single nucleotide polymorphisms (SNPs). Population structure was assessed using STRUCTURE, DAPC, and fineSTRUCTURE. Circuitscape was used to model resistance values for ten landscape variables that could affect habitat connectivity.</p> <p><em>Results</em></p> <p>STRUCTURE results suggested a panmictic population, but other more sensitive clustering methods identified six spatially organized clusters. Circuit theory-based landscape resistance analysis suggested land use, including cultivated crop agriculture, and topography were the primary influences on genetic differentiation.</p> <p><em>Conclusions</em></p> <p>While the <em>R. pipiens</em> populations appear to have high gene flow, we found a difference in the patterns of connectivity between the eastern portion of our study area which was dominated by cultivated crop agriculture, versus the western portion where topographic roughness played a greater role. This information can help identify amphibian dispersal corridors and prioritize lands for conservation or restoration.</p>
ArMoR Cluster: 5 research projects fight Antimicrobial Resistance in livestock farming
<p>Within Horizon Results Booster programme (HRB), 4 Horizon 2020 projects (AVANT, DISARM, HealthyLivestock and ROADMAP) and 1 BBSRC funded project (AMRILS) have formed the "ArMoR Cluster" to develop a conceptual framework to improve understanding of AMR in livestock systems.</p> <p>Supported by the European Commission, Horizon Dissemination Booster (HRB) contributes to an effective transfer of research and innovation project results to policy makers, industry and society by offering various services as dissemination, exploitation strategy and business plan development to projects.</p> <p>The video is available on YouTube: <strong><a href="https://www.youtube.com/watch?v=rnU35ytdEuM">https://www.youtube.com/watch?v=rnU35ytdEuM</a></strong></p> <p>For any further questions please contact us at:</p> <ul> <li><strong><a href="https://zenodo.org/record/avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT),</li> <li><strong><a href="https://zenodo.org/record/info@disarmproject.eu">info@disarmproject.eu</a></strong> (project DISARM),</li> <li><strong><a href="https://zenodo.org/record/healthylivestockproject@yahoo.com">healthylivestockproject@yahoo.com</a></strong> (project Healthy Livestock) or</li> <li><strong><a href="mailto:roadmap.communication@gmail.com">roadmap.communication@gmail.com</a></strong> (project ROADMAP). </li> </ul>
The Gloria2 fish farm escapes identification dataset (v1.0)
<p>This is version 1.0 of the <strong>GLORiA<sup>2</sup> dataset</strong>, which can be used for the training of computer vision models aimed at <strong>detecting fish farm escapes caused by sea storms</strong>. Escaped fish can be recognized based on their appearance from pictures taken in lab conditions, when compared to farmed and wild specimens. Several images of fish specimens raised in <strong>captivity</strong> (C), farm <strong>escapes</strong> (E), and the <strong>sea</strong> (S) are provided for each of the <strong>three</strong> considered commercial <strong>species</strong>: Mediterranean <strong>sea bream</strong> (<em>S. aurata</em>), <strong>sea bass</strong> (<em>D. labrax</em>), and <strong>meagre</strong> (<em>A. regius</em>).</p> <p>The images provided are 224x224 crops of the original images, centred around the fish in the image, as <strong>preprocessed</strong> by the <strong>accompanying Python scripts</strong>.</p> <p><strong>Acknowledgement: </strong>GLORiA<sup>2</sup> is a project supported by the Biodiversity Foundation of the Ministry for the Ecological Transition, through the FEMP Pleamar Programme. It is also part of the LIFE IP INTEMARES project "Integrated, innovative and participatory management of the Natura 2000 Network in the Spanish marine environment", coordinated by the Ministry, through the Biodiversity Foundation.</p> <p> </p>
Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 11. Гидрометеоролого-технологическая блок-схема хоЗяйственных решений (di) и гидрометеорологических долгосрочных прогноЗов (Pi), необходимых для их принятия. Fig. 11. Hydrometeorological-technological block diagram of economic decisions (di) and hydrometeorological long-term forecasts (Pi) necessary for their adoption.
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь.
Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980].
Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors.
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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.