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1,425 results for “Agriculture”
MADFORWATER: WP2: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task 2.3–Agro-industrial wastewater treatment: Subtask 2.3.1. –Treatment of olive mill wastewater (OMWW): Aerobic biological treatment in sequenced batch reactors (SBRs): Subset 1
<p>This dataset contains the data underlying the following publication: Fatma AROUS, Chadlia HAMDI, Souhir KMIHA, Nadia KHAMMASSI, Amani AYARI, Mohamed NEIFAR, Tahar MECHICHI, Atef JAOUANI (2018). Treatment of olive mill wastewater through employing sequencing batch reactor: Performance and microbial diversity assessment. 3 Biotech 2018, 8, 481. https://doi.org/10.1007/s13205-018-1486-6.</p>
Agriculture erases climate constraints on soil nematode communities across large spatial scales
<p>Data supporting "Agriculture erases climate constraints on soil nematode communities across large spatial scales".</p>
Figure 1 in Molecular characterization and phylogenetic assessment of agricultural-related noctuids (Lepidoptera: Noctuidae) of South America
Figure 1 Collection sites in Argentina and Brazil, with provinces or states boundaries.
Figure 3 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 3. Distance from recorded White Stork nests to the nearest neighbouring nest.
Figure 2 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 2. Distance from recorded White Stork nests to the nearest building.
Figure 1 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 1. Distribution of densities of occupied White Stork nests and colonies in Lithuania.
Figure 4 in Ecomorphological associations and abundance of birds across the agricultural landscape of Pothwar Plateau, Pakistan
Figure 4. The relationship between number of foraging birds observed and their body mass.
Figure 2 in Halyomorpha halys Stål, (Hemiptera:Pentatomidae) feeding effects on some agricultural fruits in Georgia
Figure 2. Damage (%) caused by BMSB feeding on not fully grown hazelnut kernels in Guria, 2020.
Myanmar Agriculture 1K
<p>The "Myanmar Agriculture 1K" Dataset is curated to build a knowledge bank for further studies in Natural Language Processing in the Burmese Language and to train instruction fine-tuned language model for the Burmese Language.</p> <p>Moreover, this dataset is a motivation to move the Burmese language from a low-resource language to a high-resource language.</p>
Detecting the effect of intensive agriculture on Odonata diversity using citizen science data
<p>These datasets are used in the following article :</p> <p><strong><span>Detecting the effect of intensive agriculture on Odonata diversity using citizen science data</span></strong></p> <p><strong><span><span>By </span></span></strong><span>Renaud Baeta<sup>1</sup>, Justine Léauté<sup>1,2</sup>, Éric Sansault<sup>1</sup> and Sylvain Pincebourde<sup>2*</sup></span></p> <p><span><strong>In </strong></span><em><span>Ecological Applications </span></em><span>(Research article)</span></p> <p><strong><span>Abstract</span></strong></p> <p><span><span><span>Agricultural areas represent one of the major ecosystems of the world. Intensification of agricultural practices produced openfields characterized by low biological diversity. Nevertheless, the distance up to which intensive agricultural fields alter surrounding natural systems is rarely quantified. We determined the spatial scale at which agricultural landscapes alter the diversity of Odonates, a key taxon in wetland ponds, and we tested to what extent citizen-science data can be used reliably for this purpose. We compiled 7,731 observations made in a portion of the region Centre-Val-de-Loire (France) over 10 years by naturalists on 729 water bodies to analyze the effect of agricultural landscapes (mainly wheat, rapeseed, sunflower) on the species richness of both damselflies and dragonflies in lentic systems. Sixty species were reported over the 10-years period. For dragonflies, intensive agricultural landscapes best explained their richness at the scales of 800m and 1,600m for overall and autochthonous species, respectively, when using the full dataset. The spatial scale was smaller for damselflies, at 200m for both overall and autochthonous species. These distances were not severely impacted when constraining the data to consider several biases. Multi-model averaging showed that the proportion of intensive agriculture decreased species richness, despite the potential biases inherent to an imperfect database acquired by citizens. This imperfect citizen dataset allows to infer the lowest effect size of agriculture on species richness. Quantitatively, this effect was more important for autochthonous species. Interestingly, both relatively rare taxa and common or generalist species can be under threat in intensive agricultural landscapes, calling for more ecotoxicological studies. The influence of agricultural practices from a distance implies that conservation and management plans of wetland ponds should consider the landscape ecological characteristics and not only the pond features. Conservation efforts focusing too locally on a site may be undermined because intensive agriculture from a distance limits the potential for the site to recover highly diverse communities. These distant effects should be integrated by policy-makers when deciding which wetland pond should benefit from a conservation plan or which conservation action may be planned, implementing for instance buffer zones and/or ecological corridors composed of natural vegetation. </span></span></span></p>
DCP-MTL: Vectorization of Agricultural Cultivation Field Parcels via Boundary-Parcel Multi-Task Learning Network in Ultra-High-Resolution Remote Sensing Images
<p><span>This paper introduces the first UHR UAV dataset specifically for CFP, designed to evaluate the performance of the proposed model in identifying these parcels. </span><span>The dataset offers ultra-high spatial resolution, various field parcel types, and broad geographic coverage. </span><span>Figure 8 </span><span>shows </span><span>the spatial distribution of the study data. Jilin Province is the primary region for training and evaluating the model, while Hebei, Henan, Anhui, Zhejiang, and Hainan are auxiliary regions for testing the model's transferability. </span></p>
ST agriculture-3275579
<p>Suplementary table. Evaluation of stem rust tolerance of Kazakhstan and Russian commercial wheat cultivars </p>
Paul Price edit and charts - WEM Agriculture_2022_WEM_EPA (2024) PRP EDIT (with some WAM analysis added).xlsx
<p>This is an edited version of the 2024 EPA Ireland GHG emissions inventory Excel workbook for Agriculture under the With Existing Measures emissions scenario (uploaded in original form as doi: <span>10.5281/zenodo.13941591). This version also includes data from the corresponding EPA agriculture workbook for the With Existing Measures emissions scenario (uploaded in original form as doi: <span>10.5281/zenodo.13941662).</span></span><br><br>Additions by Paul Price are found on the tab "<strong>3.A and 3.B CH4</strong>": in rows 147–160 are Historic Total EF+MM (CH4 kt/Yr) timeseries for the different animal type and in total, giving the total for each of methane in kilotonnes from Enteric Fermentation and Manure Management combined. Then in rows 186-192 you can see the added calculation, giving the percentage of the total from each animal type. A related chart shows the historic and projected (WEM and WAM) outputs from these calculations.</p>
SCHOOL Climate and Agriculture Module and Lesson Review
<p>In this meeting, the TOPSTSCHOOL team meets with Jacob Orser, Jorge Celis, and Michael Humber to discuss the incoming Climate and Agriculture module. We discuss the datasets we have identified for using, the upcoming topics, and hear about everyones background.</p>
Agricultural intensification erodes taxonomic and functional diversity in Mediterranean olive groves by filtering out rare species
<p><span>1. Agri-Environmental Schemes (AES) have been proposed to mitigate the impact of agriculture on both taxonomic and functional biodiversity. However, a better knowledge of the mechanisms involved in the loss of agrobiodiversity is needed to implement efficient AES. An unbalanced effort on research towards arable lands compared to permanent crops, and on fauna relative to plants, is patent, which limits the generalization of AES effectiveness. </span></p> <p><span>2. We evaluated the effects of agricultural management and landscape simplification on taxonomic and functional diversity of the ground herb cover of 40 olive groves. We use a recently developed approach based on Hill numbers (rare, common and dominant species based) to analyze taxonomic and functional dissimilarity between farms with contrasting agricultural practices, and its potential attenuation by landscape complexity. We further explore the filtering effect of agricultural intensification on functional traits, and the relationship between functional and species richness across landscapes.</span></p> <p><span>3. We found that taxonomic and functional dissimilarity of herb assemblages between intensively and low-intensively managed fields was mainly due to rare species. Dissimilarity decreased as landscape complexity increased, evidencing that complex landscapes attenuate the impact of agriculture intensification on herb assemblage composition. Agricultural intensification favoured more functionally homogeneous assemblages and disfavoured the herbs pollinated by insects, while it did not seem to affect wind-pollinated species. </span></p> <p><span>4. Overall, functional richness increased exponentially with species richness across landscapes, but the latter was insufficient to drive any clear enhancement in functional richness in simple landscapes. In contrast, high species richness accelerated the enhancement in functional richness in intermediate and complex landscapes. These results highlight the functional filtering that intensive agriculture has generated for decades in homogeneous olive-dominated landscapes. </span></p> <p><span>5. Herb cover is essential to support the fauna of permanent croplands and their sustainable production. Hence, AES in these croplands should promote management practices favouring the diversity and functionality of herb assemblages. Such AES should be particularly prioritized in homogeneous landscapes, where ground herb cover composition and function has long been homogenized to a great extent. </span></p>
Dancing bees evaluate central urban forage resources as superior to agricultural land
<p class="ColorfulList-Accent11CxSpFirst">Recent evidence suggests that flower-rich areas within cities could play an important role in pollinator conservation, but direct comparison of floral resources within agricultural and urban areas has proved challenging to perform over large scales.</p> <p class="ColorfulList-Accent11CxSpMiddle">Here we use the waggle dances of honeybees (<i>Apis mellifera</i> L.) to perform large-scale landscape surveys at heavily urban or agricultural sites for a key pollinator of wild and crop plants. We analyzed 2827 dances that were performed by 20 colonies in SE England.</p> <p class="ColorfulList-Accent11CxSpMiddle">We show that hive median foraging trip distance is consistently lower at urban sites across the entire season. The sucrose content of collected nectar did not significantly differ between urban and agricultural land, ruling out the possibility that longer foraging distances in agricultural sites were driven by distant but nectar-rich resources.</p> <p class="ColorfulList-Accent11CxSpMiddle">Within cities, bees preferentially targeted residential areas on foraging trips, while trips to mass-flowering crops overwhelmingly dominated at agricultural sites. For both land-use types, distances flown increased in the summer, but there was high variation in temporal patterns between individual sites</p> <p class="ColorfulList-Accent11CxSpLast"><i>Policy implications: </i>From the self-reported perspective of a generalist pollinator, forage was easier to find in heavily urbanized areas than in the modern agricultural landscapes that we studied. A focus on continuous spatial and temporal provision within agricultural environments is key to redressing this imbalance.</p>
Potential benefits of incorporating arable wildflowers into living mulches for sustainable agriculture
<p><span><span><span><span><span><span><span><span><span><span><span><span><b>Background: </b>As agriculture has intensified, many once-common wildflowers have declined in arable landscapes, which has widespread implications for associated ecosystem services. The incorporation of sustainable practices, for example, growing living mulches (in-field, non-crop plant ground cover, maintained during the target crop growing season), can boost arable biodiversity, but few wildflower species have been utilised in this context. </span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Aims: </b>Our aim was to determine the suitability of arable wildflower species, once considered weeds, for use as living mulches.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Methods: </b>We first screened a number of arable wildflower species for germination when growing with a common cereal, barley (<i>Hordeum vulgare</i>). We then grew two (<i>Centaurea cyanus</i> and <i>Scandix pecten-veneris</i>) in pots in a glasshouse with and without barley, and grew barley alone to test the impact of the wildflowers on barley growth and biomass.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>Neither of the wildflowers significantly negatively impacted barley biomass. Barley initially facilitated germination in <i>S. pecten-veneris</i>, but ultimately suppressed the above-ground biomass of both wildflowers. However, both wildflower species were able to coexist alongside barley.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions: </b>Our experiment provides evidence that wildflowers that were considered weeds in traditional agriculture have the potential to be grown alongside barley and could be incorporated as part of a living mulch.</span></span></span></span></span></span></span></span></span></span></span></span></p>
Emissions from energy used in agriculture(on-farm)
<p>The FAOSTAT domain “Energy Use’’ disseminates information on activity data, emission factors and GHG emissions from fossils fuels and electricity. Information on fossil fuels used is sourced from UNSD and IEA (see methods), covering: Gas-Diesel Oil, Coal, Natural gas (including LNG), Motor Gasoline, Fuel Oil, Liquefied Petroleum Gas (LPG); and electricity.</p>
China's agricultural greenhouse gas emission intensity and its influencing factors
<p>This dataset includes the agricultural greenhouse gas emissions intensity of China and various factors that affect agricultural greenhouse gas emissions (agricultural patent intensity, agricultural per capita value added, urbanization rate, environmental investment intensity, and urban rural income gap.</p>
Preliminary assessment of cavity-nesting Hymenopterans in a low-intensity agricultural landscape in Transylvania
<p>In this study our aim was to assess several traits of cavity-nesting Hymenopteran taxa in a low-intensity agricultural landscape in Transylvania. The study took place between May and August 2018 at eight study sites in the hilly-mountainous central part of Romania, where the majority of the landscape is used for extensive farming or forestry. During the processing of the trap-nest material, we recorded several traits regarding the nests of different cavity-nesting Hymenopteran taxa and the spider prey found inside the nests of the spider-hunting representatives of these taxa. We also evaluated the relationship between the edge density and proportion of low-intensity agricultural areas surrounding the study sites and some of these traits.</p> <p>The majority of nests were built by the solitary wasp genus Trypoxylon, followed by the solitary wasp taxa Dipogon and Eumeninae. Solitary bees were much less common, with Hylaeus being the most abundant genus. In the nests of Trypoxylon, we mostly found spider prey from the family of Araneidae, followed by specimens from the families of Linyphiidae and Theridiidae. In the nests of Dipogon, we predominantly encountered spider prey from the family of Thomisidae. We found significant effects of low-intensity agricultural areas for the genera of Auplopus, Megachile, Osmia and the Thomisid prey of Dipogon. We also found that the spider prey of Trypoxylon was significantly more diverse at study sites with higher proportions of low-intensity agricultural areas.</p> <p>Our results indicate that solitary bees seem to be more abundant in areas, where the influence of human activities is stronger, while solitary wasps seem to rather avoid these areas. Therefore, we suggest that future studies not only should put more effort into sampling in low-intensity agricultural landscapes, but also focus more on solitary wasp taxa, when sampling such an area.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.