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189 results for “Vineyards”
UAV Canyelles Vineyard Dataset 2023-04-21
<p>The dataset includes the following components:</p> <ul> <li><strong>RGB</strong>: contains 342 RGB images captured using a DJI Mavic 3 Classic UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.</li> <li><strong>SHAPE</strong>: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.</li> <li><strong>POINTCLOUDS</strong>: includes both the raw and cropped point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).</li> <li><strong>ORTHOMOSAICS</strong>: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, in TIF format.</li> <li><strong>DEM</strong>: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.</li> </ul> <p>This data is aligned with the rest of <strong>UAV Canyelles Vineyard Datasets</strong> uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. </p> <p>Data collection took place on April 21, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images. The weather was cloudy, with an average temperature of 18°C.</p>
UAV Canyelles Vineyard Dataset 2023-05-05
<div> <p>The dataset includes the following components:</p> <ul> <li><strong>RGB(1-3)</strong>: contains 1359 RGB images captured using a DJI Mavic 3 Classic UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.</li> <li><strong>SHAPE</strong>: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.</li> <li><strong>POINTCLOUDS</strong>: includes both the raw and cropped point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).</li> <li><strong>ORTHOMOSAICS</strong>: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, in TIF format.</li> <li><strong>DEM</strong>: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.</li> </ul> <p>This data is aligned with the rest of <strong>UAV Canyelles Vineyard Datasets</strong> uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. </p> <p>Data collection took place on May 5th, 2023, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 10 meters, ensuring sufficient frontal and side overlap between images.</p> </div>
UAV Canyelles Vineyard Dataset 2023-04-28
<p>The dataset includes the following components:</p> <ul> <li><strong>RGB</strong>: contains 488 RGB images captured using a DJI Mavic 3 Classic UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.</li> <li><strong>SHAPE</strong>: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.</li> <li><strong>POINTCLOUDS</strong>: includes both the raw and cropped point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).</li> <li><strong>ORTHOMOSAICS</strong>: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, in TIF format.</li> <li><strong>DEM</strong>: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.</li> </ul> <p>This data is aligned with the rest of <strong>UAV Canyelles Vineyard Datasets</strong> uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. </p> <p>The data collection procedure involved flying the DJI MAVIC 3 CLASSIC drone over the vineyard on April 28th, 2023, in Canyelles, Catalonia, Spain. The flight took place under sunny weather conditions with an average temperature of 26 degrees Celsius.</p>
Monitoring of Halyomorpha halys populations in Bordeaux vineyards
<p>Monitoring of Halyomorpha halys in Bordeaux vinyeards in 2021</p>
Dataset for canopy sensing in orchards and vineyards
<p>Data collected with the sensors:</p> <ul> <li> <p>OAK-D-POE Camera</p> </li> <li> <p>GP-808G GNSS receiver</p> </li> <li> <p>Hokuyo UST-10lx LiDAR</p> </li> </ul> <p>The dataset is composed of three different collections: two in orchards and one in vineyards.</p>
Subspecies and Distribution. B.b.brevicaudusSay,1823—SWOntarioandextremeSEManitoba(Canada)andmostofNorthDakota,SouthDakota,Minnesota,WWisconsin,Nebraska,Iowa,WIllinois,N&EKansas,Missouri,NEOklahoma,andNArkansas(USA). B. b. aloga Bangs, 1902 — Martha's Vineyard I, off SE Massachusetts (USA). B.b.angustaR.M.Anderson,1943—SEQuebecandNNewBrunswick(Canada). B.b.churchiBole&Moulthrop,1942—SEKentucky,SWVirginia,ETennessee,andWNorthCarolina(USA). B.b.compactaBangs,1902—NantucketI,offSEMassachusetts(USA). B.b.hooperiBole&Moulthrop,1942—extremeSEQuebec(Canada)andNVermont(USA). B.b.kirtlandiBole&Moulthrop,1942—EWisconsin,Michigan,EIllinois,Indiana,Ohio,extremeSWNewYork,Pennsylvania,WestVirginia,Maryland,Delaware,mostofVirginia,Kentucky,Tennessee,WNorthCarolina,WSouthCarolina,NAlabama,andNGeorgia(USA). B.b.manitobensisR.M.Anderson,1947—C&SESaskatchewanandSManitoba(Canada),andNNorthDakota(USA). B.b.pallidaR.W.Smith,1940—NMaine(USA)andC&SNewBrunswickandNovaScotia(Canada). B.b.talpoidesGapper,1830—S&SEOntarioandSQuebec(Canada),andfromNewEnglandStoNewYorkandNewJersey(USA). B. b. telmalestes Merriam, 1895 — SE Virginia and extreme NE North Carolina (USA). in Soricidae
Subspecies and Distribution. B.b.brevicaudusSay,1823—SWOntarioandextremeSEManitoba(Canada)andmostofNorthDakota,SouthDakota,Minnesota,WWisconsin,Nebraska,Iowa,WIllinois,N&EKansas,Missouri,NEOklahoma,andNArkansas(USA). B. b. aloga Bangs, 1902 — Martha's Vineyard I, off SE Massachusetts (USA). B.b.angustaR.M.Anderson,1943—SEQuebecandNNewBrunswick(Canada). B.b.churchiBole&Moulthrop,1942—SEKentucky,SWVirginia,ETennessee,andWNorthCarolina(USA). B.b.compactaBangs,1902—NantucketI,offSEMassachusetts(USA). B.b.hooperiBole&Moulthrop,1942—extremeSEQuebec(Canada)andNVermont(USA). B.b.kirtlandiBole&Moulthrop,1942—EWisconsin,Michigan,EIllinois,Indiana,Ohio,extremeSWNewYork,Pennsylvania,WestVirginia,Maryland,Delaware,mostofVirginia,Kentucky,Tennessee,WNorthCarolina,WSouthCarolina,NAlabama,andNGeorgia(USA). B.b.manitobensisR.M.Anderson,1947—C&SESaskatchewanandSManitoba(Canada),andNNorthDakota(USA). B.b.pallidaR.W.Smith,1940—NMaine(USA)andC&SNewBrunswickandNovaScotia(Canada). B.b.talpoidesGapper,1830—S&SEOntarioandSQuebec(Canada),andfromNewEnglandStoNewYorkandNewJersey(USA). B. b. telmalestes Merriam, 1895 — SE Virginia and extreme NE North Carolina (USA).
Supplementary File- Table S.2._Coccinellidae community associated with sustainable vineyards from Portugal: the role of the surrounding landscape
<p>Supplementary File- Table S.2.</p> <p>Coccinellidae community associated with sustainable vineyards from Portugal: the role of the surrounding landscape</p>
Supplementary File- Table S.1._Coccinellidae community associated with sustainable vineyards from Portugal: the role of the surrounding landscape
<p>Supplementary File- Table S.1.</p> <p>Coccinellidae community associated with sustainable vineyards from Portugal: the role of the surrounding landscape</p>
Vineyard and Apple Orchard Suitability Maps for Mountainous Areas (Southern Pyrenees and Pre-Pyrenees)
<p>The manuscript related to this dataset can be consulted trought:</p> <p>The layers available in this dataset are in EPSG: WGS84.</p> <ul> <li><strong>Indicators</strong> <ul> <li><strong>BBL.tif </strong>- Hydrothermic index of Branas, Bernon, Levadoux (ºC*mm)</li> <li><strong>CDls.tif </strong>- Cold Days late spring (days)</li> <li><strong>FRea.tif </strong>- Frost Risk early autumn (days)</li> <li><strong>FRls_vineyard.tif </strong>- Frost Risk late spring vineyard (days)</li> <li><strong>FRls_apple.tif </strong>- Frost Risk late spring apple orchard (days)</li> <li><strong>GDD.tif</strong> - Growing Degree Days (ºC)</li> <li><strong>GSP.tif </strong>- Growing Season Precipitation (mm)</li> <li><strong>GST.tif </strong>- Growing Season Temperature (ºC)</li> <li><strong>Ha</strong><strong>.tif </strong>- Hail (days)</li> <li><strong>HI</strong><strong>.tif </strong>- Heliothermal Index of Huglin (ºC)</li> <li><strong>NCIr</strong><strong>.tif </strong>- Night Cool Index ripenning (ºC)</li> <li><strong>NHN.tif</strong> - Need Hydric Needs (mm/year)</li> <li><strong>SHDr.tif </strong>- Stressful Hot Days ripening (days)</li> <li><strong>WI.tif </strong>- Winkler Index (ºC)</li> <li><strong>CaCO3.tif </strong>- Calcium Carbonates (%)</li> <li><strong>CEC.tif </strong>- Cation Exchange Capacity (cmol/kg)</li> <li><strong>pH.tif </strong>- pH</li> <li><strong>SD.tif </strong>- Soil Depth (cm)</li> <li><strong>TAW.tif</strong> - Total Available Water (mm)</li> <li><strong>Te.tif</strong> - Texture</li> <li><strong>TOC.tif </strong>- Topsoil Organic Carbon (%)</li> <li><strong>As.tif </strong>- Aspect</li> <li><strong>GSR.tif </strong>- Growing season Solar Radiation (kWh/m2)</li> <li><strong>Sl.tif </strong>- Slope (%)</li> </ul> </li> </ul> <ul> <li><strong>Indicators_Suitability</strong> <ul> <li><strong>BBL_suitability.tif </strong>- Hydrothermic index of Branas, Bernon, Levadoux (ºC*mm)</li> <li><strong>CDls_suitability.tif </strong>- Cold Days late spring (days)</li> <li><strong>FRea_suitability.tif </strong>- Frost Risk early autumn (days)</li> <li><strong>FRls_vineyard_suitability.tif </strong>- Frost Risk late spring vineyard (days)</li> <li><strong>FRls_apple_suitability.tif </strong>- Frost Risk late spring apple orchard (days)</li> <li><strong>GDD_suitability.tif</strong> - Growing Degree Days (ºC)</li> <li><strong>GSP_suitability.tif </strong>- Growing Season Precipitation (mm)</li> <li><strong>GST_suitability.tif </strong>- Growing Season Temperature (ºC)</li> <li><strong>Ha_suitability</strong><strong>.tif </strong>- Hail (days)</li> <li><strong>HI_suitability</strong><strong>.tif </strong>- Heliothermal Index of Huglin (ºC)</li> <li><strong>NCIr_suitability</strong><strong>.tif </strong>- Night Cool Index ripenning (ºC)</li> <li><strong>NHN_suitability.tif</strong> - Need Hydric Needs (mm/year)</li> <li><strong>SHDr_suitability.tif </strong>- Stressful Hot Days ripening (days)</li> <li><strong>WI_suitabilitytif</strong> - Winkler Index (ºC)</li> <li><strong>CaCO3_suitability.tif </strong>- Calcium Carbonates (%)</li> <li><strong>CEC_suitability.tif </strong>- Cation Exchange Capacity (cmol/kg)</li> <li><strong>pH_suitability.tif </strong>- pH</li> <li><strong>SD_suitability.tif </strong>- Soil Depth (cm)</li> <li><strong>TAW_suitability.tif</strong> - Total Available Water (mm)</li> <li><strong>Te_suitability.tif</strong> - Texture</li> <li><strong>TOC_suitability.tif </strong>- Topsoil Organic Carbon (%)</li> <li><strong>As_suitability.tif </strong>- Aspect</li> <li><strong>GSR_suitability.tif </strong>- Growing season Solar Radiation (kWh/m2)</li> <li><strong>Sl_suitability.tif </strong>- Slope (%)</li> </ul> </li> </ul> <ul> <li><strong>Suitability</strong> <ul> <li><strong>Vineyard_suitability.tif </strong>- Vineyard Suitability map (Minumum Suitability 0 - 100 Maximum Suitability)</li> <li><strong>Apple_orchard_suitability.tif </strong>- Apple Orchard Suitability map (Minumum Suitability 0 - 100 Maximum Suitability) </li> </ul> </li> </ul>
FIGURE 3 in DNA barcoding of the Italian anecic Octodrilus species in rural (vineyard) and forested areas with description of Octodrilus zicsiniello sp. nov. (Clitellata, Megadrili)
FIGURE 3. Octodrilus zicsiniello sp. nov. A. VEnTroLATErAL vIEw of ThE forE-body. CL = cLITELLUM, Mp = MALE porE, Tb = TUbErcULA pUbErTATIs. B. SETAL ArrAngEMEnTs. AA, Ab, bc, cd, cd rEfEr To sETAL InTErvALs. C. SAgITTAL sEcTIon of ThE gEnITAL rEgIon. s = sEpTUM, sf = spErM fUnnELs, Ts = TEsTIs sAc, vEs 9 = vEsIcLE In 9, vEs 12 = vEsIcLE In 12.
FIGURE 4. LArgE Octodrilus spEcIEs And ITs cAsTs. A in DNA barcoding of the Italian anecic Octodrilus species in rural (vineyard) and forested areas with description of Octodrilus zicsiniello sp. nov. (Clitellata, Megadrili)
FIGURE 4. LArgE Octodrilus spEcIEs And ITs cAsTs. A. Oc. tergestinus froM MonTonA, CroATIA, B. CAsT prodUcTIon of Oc. tergestinus. C. Oc. mimus froM CoLLIo, FrIULI VEnEzIA GIULIA, ITALy, D. TowEr-shApEd cAsT of Oc. mimus. E. GALLEry of Oc. complanatus froM MonTEforchE-SorAnzo vInEyArd In EUgAnEAn hILLs, VEnETo, PAdovA, ITALy. ScALE bArs = 20 MM.
FIGURE 2 in DNA barcoding of the Italian anecic Octodrilus species in rural (vineyard) and forested areas with description of Octodrilus zicsiniello sp. nov. (Clitellata, Megadrili)
FIGURE 2. CoLLEcTIng sITE of ZLEpcArI, IsTrIA, CroATIA. A. woodLAnd, ThE TypIcAL hAbITAT of dEnsE popULATIons of ThE AnEcIc Octodrilus istrianus And Oc. complanatus spEcIEs. B. TrAcEs of Octodrilus cAsTs.
FIGURE 1 in DNA barcoding of the Italian anecic Octodrilus species in rural (vineyard) and forested areas with description of Octodrilus zicsiniello sp. nov. (Clitellata, Megadrili)
FIGURE 1. BAyEsIAn phyLogEnETIc TrEE of ThE InvEsTIgATEd Octodrilus spEcIEs. NUMbErs on ThE brAnchEs rEfEr To posTErIor probAbILITy (PP).
Aerial RGB and Thermal Infrared (TIR) Images of Vineyards and Pseudo-coloring RGB Images of the Plant's Stressed Areas.
<p>This dataset consists of 375 high-resolution visible-spectrum (RGB) and 375 thermal infrared (TIR) images of a vineyard (Vitis vinifera L.) captured by a Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors. Also, the dataset contains 375 RGB images with pseudo-coloring where plants' stressed areas exist, aligned, and cropped based on the TIR images' Field of View (FOV).</p>
VINEYARD PLANT LEAVES IMAGES (SUMMER 2024)
<p>This dataset contains images of vineyard plant leaves from the vineyard in Canyelles (Catalonia, Spain) in JPG and NEF format. The images were collected during the summer of 2024, with a sampling frequency of approximately every two weeks. The dataset aims to provide visual data for analysis of vineyard leaf characteristics, such as color, texture, and potential mildew disease development. The leaves are organized chronologically according to the date of collection and by side of the leaf (front or back). They are also labelled by a tag that defines the location that could be seen this <a href="https://www.google.com/maps/d/u/0/edit?mid=1sb9ZZvRMiDCEZ6h2-Fviq4nvgPvEBVA&usp=sharing">mymaps link</a>. </p>
Data for the article "Organic farming increases functional diversity and ecosystem service provision of spontaneous vegetation in Mediterranean vineyards"
<p>Research data for the article "<strong>Organic farming increases functional diversity and ecosystem service provision of spontaneous vegetation in Mediterranean vineyards</strong>" made by Roser Rotchés-Ribalta, Joan Marull and Joan Pino published in Ecological Indicators.</p> <p>It includes:</p> <p>- Species and functional diversities of spontaneous plant species in the different plots surveyed per field</p> <p>- The cover of each species per plot in each field</p> <p>- The functional traits used for each species</p> <p>- The physico-chemical soil data of each plot per field </p>
Effects of Three Warm-up Interventions at the Workplace Among Vineyard Workers - a Protocol Study
ClinicalTrials.gov study NCT05425693. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Work-related Respiratory Symptoms in Champagne Vineyard Workers
ClinicalTrials.gov study NCT02883920. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data for: Organic management and landscape heterogeneity combine to sustain multifunctional bird communities in European vineyards
Open the record for dataset details and reuse information.
Data from: Invasive Drosophila suzukii facilitates Drosophila melanogaster infestation and sour rot outbreaks in the vineyards
Open the record for dataset details and reuse information.
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