Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
189
datasets available to search
ShareScore release 0.9.0
Dataset results
189 results for “Vineyards”
Sheep Grazing in vineyards - agrovitiforestry (near Mértola, South Portugal)
Open the record for dataset details and reuse information.
FIGURE 3 in Diversity Of Mites (Acari) In Vineyard Agroecosystems (Vitis Vinifera) In Two Viticultural Regions Of Rio Grande Do Sul State, Brazil
FIGURE 3: Bray-Curtis clustering analysis dendrograms of mite communities observed on grapevine (A) and on non-cultivated plants (B), in four plots planted with Cabernet Sauvignon (CS) or Pinot Noir (PN), in Bento Gonçalves (BG) and Candiota (CA) regions, Rio Grande do Sul.
FIGURE 2 in Diversity Of Mites (Acari) In Vineyard Agroecosystems (Vitis Vinifera) In Two Viticultural Regions Of Rio Grande Do Sul State, Brazil
FIGURE 2: Bray-Curtis clustering analysis dendrograms of mite communities observed in four plots (agroecosystems) planted with Cabernet Sauvignon (CS) or Pinot Noir (PN) in the two vine-producing regions Bento Gonçalves (BG) and Candiota (CA), Rio Grande do Sul: A – All mite families; B – Phytoseiidae; C – Stigmaeidae; D – Eriophyidae.
FIGURE 1 in Diversity Of Mites (Acari) In Vineyard Agroecosystems (Vitis Vinifera) In Two Viticultural Regions Of Rio Grande Do Sul State, Brazil
FIGURE 1: Abundance of main mite species found on grapevine in Bento Gonçalves (A - Cabernet Sauvignon; B - Pinot Noir) and Candiota (C - Cabernet Sauvignon; D - Pinot Noir) municipalities, Rio Grande do Sul, Brazil.
Figure 1 in Oribatid mites of conventional and organic vineyards in the Valencian Community, Spain
Figure 1 Locality of the study plots in El Poble Nou de Benitatxell.
Contrasting effects of vineyard type, soil and landscape factors on ground- versus above-ground nesting bees
<p><span>1. Agricultural intensification and abandonment of traditional agricultural practices are main drivers of current insect declines. The resulting loss of feeding and nesting opportunities has led to a decrease in pollinator populations like wild bees. While the restoration of floral resources has been widely implemented in wild bee conservation, nesting resources, particularly for ground-nesting species, are barely considered.</span></p> <p><span>2. We assessed wild bee diversity in a wine-growing area in Germany in 15 study sites along a soil gradient and evaluated whether wild bees were distinctly affected by different vineyard types (vertically oriented, terraced, abandoned), local conditions (e.g. shrub and flower cover), and landscape factors in response to divergent nesting needs (above-ground vs. ground-nesting). </span></p> <p><span>3. We found that wild bees responded more strongly to the availability of nesting sites than to flower resources. While ground-nesting bees were determined by the suitability of soil aspects for nesting irrespective of vineyard management types, above-ground nesting bees profited from vineyard abandonment and shrub encroachment in vineyard fallows and were enhanced by the availability of seminatural habitats (SNH) in the surrounding landscape. In contrast, floral resource availability in managed vineyards had only marginal effects on above-ground-nesting bees.</span></p> <p><span>4. Synthesis and applications: Life history traits like nesting strategies have long been neglected in wild bee conservation approaches, but proved to be highly relevant, especially for ground-nesting bees. For this, agri-environmental schemes can no longer solely focus on the restoration of floral resources, but should equally address nesting resources. Therefore, management efforts for enhancing wild bees in vineyard landscapes should aim at complementing nesting resources for ground-nesting bees (e.g. exposed bare ground patches) and above-ground-nesting bees (e.g. woody elements, hedges) in addition to floral resources. At the landscape level, conserving heterogeneous landscapes at a mixture of actively managed vineyards and semi-natural and woody elements is significant to maintain diverse bee communities. </span></p>
Data for: Local conditions matter: Minimal and variable effects of soil disturbance on microbial communities and functions in European vineyards
<p>Soil tillage or herbicide applications are commonly us<span>ed in agriculture for weed control. These measures may also represent a disturbance for soil microbial communities and their functions. However, the generality of response patterns of microbial communities and functions to disturbance have rarely been studied at large geographical scales. We investigated how a soil disturbance gradient (low, intermediate, high), realized by either tillage or herbicide application, affects diversity and composition of soil bacterial and fungal communities as well as soil functions in vineyards across five European countries. Microbial alpha-diversity metrics responded to soil disturbance sporadically, but inconsistently across countries. Increasing soil disturbance changed soil microbial community composition at the European level. However, the effects of soil disturbance on the variation of microbial communities were smaller compared to the effects of location and soil covariates. Microbial respiration was consistently impaired by soil disturbance, while effects on decomposition of organic substrates were inconsistent and showed positive and negative responses depending on the respective country. </span><span>Therefore, we conclude that it is difficult to extrapolate results from one locality to others because microbial communities and environmental conditions vary strongly over larger geographical scales.</span><span> </span></p>
High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain.
<p>This dataset features an extensive collection of LiDAR data from vineyards in northern Spain, targeting vineyards to address the growing demand for public UAV LiDAR datasets in Agricultural Sciences. The data was gathered using a DJI M300 multi-rotor platform equipped with a DJI Zenmuse L1 LiDAR sensor, conducting UAV flights at 20, 30, and 50 meters Above Ground Level (AGL) across two vineyards during 2021 and 2022. The dataset comprises ten high-density 3D LiDAR point clouds stored in .laz format with embedded RGB information in each point. This information is essential for studying vineyard morphology and development and plays a key role in refining vineyard management tactics. In addition, the dataset is valuable for agricultural robotics, providing detailed terrain and canopy data crucial for designing efficient flight paths and navigation algorithms. Finally, it serves as a true "ground truth" dataset to verify satellite-derived models, enabling the generation of high-precision digital elevation models (DEMs) and other derivatives.</p>
Contrasting Patterns of Pierce's Disease Risk in European Vineyards Under Global Warming
<p>Data associated to the publication <em>Contrasting Patterns of Pierce’s Disease Risk in European Vineyards Under Global Warming</em></p>
All sensors from AgRob Modular E recorded in Vineyard at Quinta do Seixo (Tabuaço - Portugal)
<p>There are three bag files here recording all topics of the Robot AgRob Modular-E. The bags have no Image data, but they have 3D LIDAR and RTK GNSS. All the bags were recorded at Quinta do Seixo (Tabuaço, Portugal) in 3 distinct locations of the steep slope vineyard:<br> <br> rosbag2_2023_07_27-19_23_35 - Recorded in this area: 41.16631864403413, -7.555086219643922</p> <p>rosbag2_2023_07_28-12_52_03 - Recorded in this area: 41.166966,-7.552726</p> <p>rosbag2_2023_07_28-16_30_46 - Recorded in this area: 41.166814,-7.552784</p> <p> </p> <p>Here are the topics off the rosbag files:<br> <br> Topic information: Topic: /rover/aidalm | Type: ublox_msgs/msg/AidALM<br> Topic: /rover/monhw | Type: ublox_msgs/msg/MonHW<br> Topic: /rover/navpvt | Type: ublox_msgs/msg/NavPVT<br> Topic: /rover/navheading | Type: sensor_msgs/msg/Imu<br> Topic: /rover/diagnostics | Type: diagnostic_msgs/msg/DiagnosticArray<br> Topic: /rslidar_scan | Type: sensor_msgs/msg/LaserScan<br> Topic: /teleop/cmd_vel | Type: geometry_msgs/msg/Twist<br> Topic: /robot_electrical_data | Type: itrci_hardware/msg/RobotElectricalData<br> Topic: /mowit_scissors_motor_driver_node/duty_cycle_ref | Type: std_msgs/msg/Int32<br> Topic: /motors_outputs | Type: itrci_hardware/msg/MotorsArrayOutput<br> Topic: /rover/fix | Type: sensor_msgs/msg/NavSatFix<br> Topic: /localization_stars_link/gnss_heading | Type: visualization_msgs/msg/Marker<br> Topic: /imu/data_raw | Type: sensor_msgs/msg/Imu<br> Topic: /parametric_trajectories_editor_node/update | Type: visualization_msgs/msg/InteractiveMarkerUpdate<br> Topic: /rover/navrelposned | Type: ublox_msgs/msg/NavRELPOSNED9<br> Topic: /rover/navclock | Type: ublox_msgs/msg/NavCLOCK<br> Topic: /spraying/cmd_vel | Type: geometry_msgs/msg/Twist<br> Topic: /joy | Type: sensor_msgs/msg/Joy<br> Topic: /navigation_current_state | Type: std_msgs/msg/String<br> Topic: /base/navstatus | Type: ublox_msgs/msg/NavSTATUS<br> Topic: /tf | Type: tf2_msgs/msg/TFMessage<br> Topic: /parametric_trajectories_control_node/Point1 | Type: visualization_msgs/msg/Marker<br> Topic: /base/rxmrtcm | Type: ublox_msgs/msg/RxmRTCM<br> Topic: /path_it | Type: std_msgs/msg/Float64<br> Topic: /parametric_trajectories_control_node/Point2 | Type: visualization_msgs/msg/Marker<br> Topic: /base/monhw | Type: ublox_msgs/msg/MonHW<br> Topic: /motors_speed_ref | Type: itrci_hardware/msg/MotorsArrayInput<br> Topic: /base/navstate | Type: ublox_msgs/msg/NavSAT<br> Topic: /control_status | Type: itrci_nav/msg/ParametricTrajectoriesControlStatus<br> Topic: /sprayer_prescription | Type: std_msgs/msg/String<br> Topic: /parameter_events | Type: rcl_interfaces/msg/ParameterEvent<br> Topic: /PathWithEndOffset | Type: itrci_nav/msg/ParametricPathSetWithEndOffset<br> Topic: /followme_current_state | Type: std_msgs/msg/String<br> Topic: /base/navsvin | Type: ublox_msgs/msg/NavSVIN<br> Topic: /base/navrelposned | Type: ublox_msgs/msg/NavRELPOSNED9<br> Topic: /rosout | Type: rcl_interfaces/msg/Log<br> Topic: /base/aideph | Type: ublox_msgs/msg/AidEPH<br> Topic: /BackLaserScanObstacles | Type: sensor_msgs/msg/LaserScan<br> Topic: /path_num | Type: std_msgs/msg/Float64<br> Topic: /base/diagnostics | Type: diagnostic_msgs/msg/DiagnosticArray<br> Topic: /rover/rxmrawx | Type: ublox_msgs/msg/RxmRAWX<br> Topic: /base/fix_velocity | Type: geometry_msgs/msg/TwistWithCovarianceStamped<br> Topic: /rover/rxmrtcm | Type: ublox_msgs/msg/RxmRTCM<br> Topic: /rover/fix_velocity | Type: geometry_msgs/msg/TwistWithCovarianceStamped<br> Topic: /base/navclock | Type: ublox_msgs/msg/NavCLOCK<br> Topic: /ControlPathData | Type: geometry_msgs/msg/PoseStamped<br> Topic: /base/navheading | Type: sensor_msgs/msg/Imu<br> Topic: /path_percent_done | Type: std_msgs/msg/Float64<br> Topic: /base/fix | Type: sensor_msgs/msg/NavSatFix<br> Topic: /TrajectoryControlCommand | Type: std_msgs/msg/String<br> Topic: /motion_current_state | Type: std_msgs/msg/String<br> Topic: /cmd_vel | Type: geometry_msgs/msg/Twist<br> Topic: /parametric_trajectories_control_node/Patch | Type: visualization_msgs/msg/MarkerArray<br> Topic: /position_error | Type: std_msgs/msg/Float64<br> Topic: /debug/TimeLoadNSec | Type: std_msgs/msg/Float64<br> Topic: /laser_security_area | Type: visualization_msgs/msg/Marker<br> Topic: /base/navpvt | Type: ublox_msgs/msg/NavPVT<br> Topic: /pose_goal | Type: geometry_msgs/msg/PoseStamped<br> Topic: /safety_current_state | Type: std_msgs/msg/String<br> Topic: /rover/navsvin | Type: ublox_msgs/msg/NavSVIN<br> Topic: /rover/navstatus | Type: ublox_msgs/msg/NavSTATUS<br> Topic: /Detections | Type: vision_msgs/msg/Detection2DArray<br> Topic: /ActualPath | Type: itrci_nav/msg/ParametricPathSet<br> Topic: /splines/cmd_vel | Type: geometry_msgs/msg/Twist<br> Topic: /orientation_error | Type: std_msgs/msg/Float64<br> Topic: /tf_static | Type: tf2_msgs/msg/TFMessage<br> Topic: /PathNoStackUp2 | Type: itrci_nav/msg/ParametricPathSet2<br> Topic: /localization_stars_link/fix_pos | Type: geometry_msgs/msg/PointStamped<br> Topic: /TrajectoryControlStatus | Type: std_msgs/msg/String<br> Topic: /base/rxmrawx | Type: ublox_msgs/msg/RxmRAWX<br> Topic: /PathNoStackUp | Type: itrci_nav/msg/ParametricPathSet<br> Topic: /joy/set_feedback | Type: sensor_msgs/msg/JoyFeedback<br> Topic: /position_goal | Type: geometry_msgs/msg/PoseStamped<br> Topic: /rover/aideph | Type: ublox_msgs/msg/AidEPH<br> Topic: /FrontLaserScanObstacles | Type: sensor_msgs/msg/LaserScan<br> Topic: /rover/navstate | Type: ublox_msgs/msg/NavSAT<br> Topic: /parametric_trajectories_editor_node/feedback | Type: visualization_msgs/msg/InteractiveMarkerFeedback<br> Topic: /imu/rpy | Type: geometry_msgs/msg/Vector3Stamped<br> Topic: /base/aidalm | Type: ublox_msgs/msg/AidALM<br> Topic: /Path | Type: itrci_nav/msg/ParametricPathSet<br> Topic: /LaserScanObstacles | Type: sensor_msgs/msg/LaserScan<br> Topic: /localization_stars_link/gnss_pose | Type: geometry_msgs/msg/PoseWithCovarianceStamped<br> Topic: /ControlPathDataFeedForward | Type: geometry_msgs/msg/PoseStamped<br> Topic: /localization_stars_link/nav_pos_rel | Type: geometry_msgs/msg/PointStamped<br> Topic: /safety_system_flag | Type: std_msgs/msg/Int16<br> Topic: /odom | Type: nav_msgs/msg/Odometry<br> Topic: /rslidar_points | Type: sensor_msgs/msg/PointCloud2<br> Topic: /debug/TimeCycleSec | Type: std_msgs/msg/Float64<br> Topic: /localization_stars_link/magnetometer_heading | Type: visualization_msgs/msg/Marker<br> </p>
A tale of three vines: current and future threats to wild Eurasian grapevine by vineyards and invasive rootstocks
<p>This dataset has been used for the paper <em>A tale of three vines: current and future threats to wild Eurasian grapevine by vineyards and invasive rootstocks</em> by Petitpierre et al.</p> <p>It contains the species distribution of five <em>Vitis</em> species in North America and Europe (<em>Vitis acerifolia</em>, <em>Vitis aestivalis</em>, <em>Vitis rupestris</em>, <em>Vitis riparia </em>and <em>Vitis berlandieri</em>), so as the distribution of the Eurasian wild grapevine (<em>Vitis vinifera</em> ssp. <em>sylvestris</em>) and cultivated grapevine in Europe (<em>Vitis vinifera</em> ssp. <em>vinifera</em>). 40 bioclimatic variables are associated to these distributions. These variables were derived from the Climond dataset (Kriticos et al., 2012).</p> <p>Species distribution data were gathered using several databases and sources. The list of the different sources is cited in methods section of the related manuscript. The distribution of each <em>Vitis</em> taxa was rasterized at a resolution of 0.167° (coordinate reference system WGS84; EPSG:4326). X and Y coordinates correspond to the center of each cell. Environmental variables were extracted from the CliMond database (Kriticos et al., 2012) for each site. It consists of a set of 40 bioclimatic variables at a resolution of 0.167°, grouped into 4 categories: temperature, precipitation, moisture, and solar radiation. The description of these 40 variables can be found in the original CliMond publication (Kriticos et al., 2012).</p> <p> </p> <p>Each file contains the distribution of one Vitis taxa.</p> <p>v_ace.csv contains the distribution of Vitis acerifolia in North America.</p> <p>v_aes.csv contains the distribution of Vitis aestivalis in North America.</p> <p>v_ber.csv contains the distribution of Vitis berlandieri in North America.</p> <p>v_rip.csv contains the distribution of Vitis riparia in North America.</p> <p>v_rup.csv contains the distribution of Vitis rupestris in North America.</p> <p>v_root.csv contains the distribution of the American vitis taxa (Vitis acerifolia, Vitis aestivalis, Vitis berlandieri, Vitis riparia and Vitis rupestris) in Europe.</p> <p>v_vin.csv contains the distribution of the vineyards (i.e. Vitis vinifera ssp. vinifera, the cultivated grapevine) in Europe.</p> <p>v_syl.csv contains the distribution of the vineyards (i.e. Vitis vinifera ssp. sylvestris, the wild European grapevine) in Europe.</p> <p><strong>Reference</strong><br> Kriticos, D.J., Webber, B.L., Leriche, A., Ota, N., Macadam, I., Bathols, J., Scott, J.K., 2012. CliMond: Global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods Ecol. Evol. 3, 53–64. https://doi.org/10.1111/j.2041-210X.2011.00134.x</p> <p>GBIF data for Vitis vinifera ssp. vinifera. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.hacmjx<br> GBIF data for Vitis ssp. sylvestris. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.qu7txv<br> GBIF data for Vitis berlandieri. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.w6dt7r<br> GBIF data for Vitis riparia. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.aqh55u<br> GBIF data for Vitis acerifolia. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.csd7wc<br> GBIF data for Vitis aestivalis. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.f5jfzf<br> GBIF data for Vitis rupestris. GBIF.org (02 September 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.gqjm7w</p> <p> </p>
TUdi-Vinedivers_Vineyard_Soil_Data_Austria
<p>Dataset of soil properties from the TUdi/Vinedivers vineyard management experiments in Austria</p>
Bags Recorded with MowIt AgRob Modular E Robot in vineyard at Terras Gauda
<p>Bags Recorded @Terra Gauda Vineyard in Spain (41.93816100127097, -8.791314972313891) with all the sensors available in the robot:</p> <p> </p> <ol> <li>Topic: /teleop/cmd_vel | Type: geometry_msgs/msg/Twist</li> <li>Topic: /robot_electrical_data | Type: itrci_hardware/msg/RobotElectricalData</li> <li>Topic: /safety_system_flag | Type: std_msgs/msg/Int16</li> <li>Topic: /clock | Type: rosgraph_msgs/msg/Clock</li> <li>Topic: /map_server/transition_event | Type: lifecycle_msgs/msg/TransitionEvent</li> <li>Topic: /navigation_current_state | Type: std_msgs/msg/String</li> <li>Topic: /spraying/cmd_vel | Type: geometry_msgs/msg/Twist</li> <li>Topic: /joy | Type: sensor_msgs/msg/Joy</li> <li>Topic: /rover/navclock | Type: ublox_msgs/msg/NavCLOCK</li> <li>Topic: /laser_security_area | Type: visualization_msgs/msg/Marker</li> <li>Topic: /debug/TimeLoadNSec | Type: std_msgs/msg/Float64</li> <li>Topic: /PathWithEndOffset | Type: itrci_nav/msg/ParametricPathSetWithEndOffset</li> <li>Topic: /Detections | Type: vision_msgs/msg/Detection2DArray</li> <li>Topic: /rover/navsvin | Type: ublox_msgs/msg/NavSVIN</li> <li>Topic: /ActualPath | Type: itrci_nav/msg/ParametricPathSet</li> <li>Topic: /rover/navstatus | Type: ublox_msgs/msg/NavSTATUS</li> <li>Topic: /splines/cmd_vel | Type: geometry_msgs/msg/Twist</li> <li>Topic: /base/navpvt | Type: ublox_msgs/msg/NavPVT</li> <li>Topic: /pose_goal | Type: geometry_msgs/msg/PoseStamped</li> <li>Topic: /base/navsvin | Type: ublox_msgs/msg/NavSVIN</li> <li>Topic: /imu/data_raw | Type: sensor_msgs/msg/Imu</li> <li>Topic: /orientation_error | Type: std_msgs/msg/Float64</li> <li>Topic: /Path | Type: itrci_nav/msg/ParametricPathSet</li> <li>Topic: /base/aidalm | Type: ublox_msgs/msg/AidALM</li> <li>Topic: /imu/rpy | Type: geometry_msgs/msg/Vector3Stamped</li> <li>Topic: /FrontLaserScanObstacles | Type: sensor_msgs/msg/LaserScan</li> <li>Topic: /rover/aideph | Type: ublox_msgs/msg/AidEPH</li> <li>Topic: /base/diagnostics | Type: diagnostic_msgs/msg/DiagnosticArray</li> <li>Topic: /BackLaserScanObstacles | Type: sensor_msgs/msg/LaserScan</li> <li>Topic: /base/aideph | Type: ublox_msgs/msg/AidEPH</li> <li>Topic: /LaserScanObstacles | Type: sensor_msgs/msg/LaserScan</li> <li>Topic: /localization_stars_link/gnss_pose | Type: geometry_msgs/msg/PoseWithCovarianceStamped</li> <li>Topic: /cmd_vel | Type: geometry_msgs/msg/Twist</li> <li>Topic: /parametric_trajectories_control_node/Patch | Type: visualization_msgs/msg/MarkerArray</li> <li>Topic: /path_percent_done | Type: std_msgs/msg/Float64</li> <li>Topic: /rslidar_scan | Type: sensor_msgs/msg/LaserScan</li> <li>Topic: /odom | Type: nav_msgs/msg/Odometry</li> <li>Topic: /goal_pose | Type: geometry_msgs/msg/PoseStamped</li> <li>Topic: /path_it | Type: std_msgs/msg/Float64</li> <li>Topic: /sprayer_prescription | Type: std_msgs/msg/String</li> <li>Topic: /control_status | Type: itrci_nav/msg/ParametricTrajectoriesControlStatus</li> <li>Topic: /rslidar_points | Type: sensor_msgs/msg/PointCloud2</li> <li>Topic: /base/rxmrawx | Type: ublox_msgs/msg/RxmRAWX</li> <li>Topic: /TrajectoryControlStatus | Type: std_msgs/msg/String</li> <li>Topic: /PathNoStackUp | Type: itrci_nav/msg/ParametricPathSet</li> <li>Topic: /localization_stars_link/fix_pos | Type: geometry_msgs/msg/PointStamped</li> <li>Topic: /rover/navrelposned | Type: ublox_msgs/msg/NavRELPOSNED9</li> <li>Topic: /parametric_trajectories_editor_node/update | Type: visualization_msgs/msg/InteractiveMarkerUpdate</li> <li>Topic: /base/navstatus | Type: ublox_msgs/msg/NavSTATUS</li> <li>Topic: /parameter_events | Type: rcl_interfaces/msg/ParameterEvent</li> <li>Topic: /PathNoStackUp2 | Type: itrci_nav/msg/ParametricPathSet2</li> <li>Topic: /tf_static | Type: tf2_msgs/msg/TFMessage</li> <li>Topic: /motion_current_state | Type: std_msgs/msg/String</li> <li>Topic: /base/fix | Type: sensor_msgs/msg/NavSatFix</li> <li>Topic: /TrajectoryControlCommand | Type: std_msgs/msg/String</li> <li>Topic: /clicked_point | Type: geometry_msgs/msg/PointStamped</li> <li>Topic: /motors_speed_ref | Type: itrci_hardware/msg/MotorsArrayInput</li> <li>Topic: /base/navstate | Type: ublox_msgs/msg/NavSAT</li> <li>Topic: /base/monhw | Type: ublox_msgs/msg/MonHW</li> <li>Topic: /rosout | Type: rcl_interfaces/msg/Log</li> <li>Topic: /base/navrelposned | Type: ublox_msgs/msg/NavRELPOSNED9</li> <li>Topic: /ControlPathDataFeedForward | Type: geometry_msgs/msg/PoseStamped</li> <li>Topic: /localization_stars_link/nav_pos_rel | Type: geometry_msgs/msg/PointStamped</li> <li>Topic: /battery_current | Type: std_msgs/msg/Int32</li> <li>Topic: /localization_stars_link/gnss_heading | Type: visualization_msgs/msg/Marker</li> <li>Topic: /rover/fix | Type: sensor_msgs/msg/NavSatFix</li> <li>Topic: /initialpose | Type: geometry_msgs/msg/PoseWithCovarianceStamped</li> <li>Topic: /debug/TimeCycleSec | Type: std_msgs/msg/Float64</li> <li>Topic: /localization_stars_link/magnetometer_heading | Type: visualization_msgs/msg/Marker</li> <li>Topic: /map/prescription | Type: nav_msgs/msg/OccupancyGrid</li> <li>Topic: /localization_stars_link/magnetometer_heading_array | Type: visualization_msgs/msg/MarkerArray</li> <li>Topic: /joy/set_feedback | Type: sensor_msgs/msg/JoyFeedback</li> <li>Topic: /position_goal | Type: geometry_msgs/msg/PoseStamped</li> <li>Topic: /motors_outputs | Type: itrci_hardware/msg/MotorsArrayOutput</li> <li>Topic: /mowit_scissors_motor_driver_node/duty_cycle_ref | Type: std_msgs/msg/Int32</li> <li>Topic: /localization_stars_link/gnss_heading_array | Type: visualization_msgs/msg/MarkerArray</li> <li>Topic: /rover/rxmrawx | Type: ublox_msgs/msg/RxmRAWX</li> <li>Topic: /base/fix_velocity | Type: geometry_msgs/msg/TwistWithCovarianceStamped</li> <li>Topic: /rover/navstate | Type: ublox_msgs/msg/NavSAT</li> <li>Topic: /parametric_trajectories_editor_node/feedback | Type: visualization_msgs/msg/InteractiveMarkerFeedback</li> <li>Topic: /tf | Type: tf2_msgs/msg/TFMessage</li> <li>Topic: /parametric_trajectories_control_node/Point1 | Type: visualization_msgs/msg/Marker</li> <li>Topic: /base/rxmrtcm | Type: ublox_msgs/msg/RxmRTCM</li> <li>Topic: /parametric_trajectories_control_node/Point2 | Type: visualization_msgs/msg/Marker</li> <li>Topic: /rover/fix_velocity | Type: geometry_msgs/msg/TwistWithCovarianceStamped</li> <li>Topic: /rover/rxmrtcm | Type: ublox_msgs/msg/RxmRTCM</li> <li>Topic: /ControlPathData | Type: geometry_msgs/msg/PoseStamped</li> <li>Topic: /base/navclock | Type: ublox_msgs/msg/NavCLOCK</li> <li>Topic: /battery_voltage | Type: std_msgs/msg/Int32</li> <li>Topic: /safety_current_state | Type: std_msgs/msg/String</li> <li>Topic: /raw_can | Type: std_msgs/msg/String</li> <li>Topic: /rover/navpvt | Type: ublox_msgs/msg/NavPVT</li> <li>Topic: /rover/monhw | Type: ublox_msgs/msg/MonHW</li> <li>Topic: /path_num | Type: std_msgs/msg/Float64</li> <li>Topic: /rover/aidalm | Type: ublox_msgs/msg/AidALM</li> <li>Topic: /rover/navheading | Type: sensor_msgs/msg/Imu</li> <li>Topic: /position_error | Type: std_msgs/msg/Float64</li> <li>Topic: /rover/diagnostics | Type: diagnostic_msgs/msg/DiagnosticArray</li> <li>Topic: /base/navheading | Type: sensor_msgs/msg/Imu</li> </ol> <p><br> <br> </p>
Data from: Promoting plant diversity and habitat heterogeneity through vineyard terracing
<p><strong><span>Questions</span></strong><span>:</span> <span>Viticulture on steep slopes has shaped landscape and biodiversity in many regions, but insufficient profitability has led to management cessation and shrub encroachment. A solution to maintain cultivation economically viable could be vineyard terracing. We aimed </span><span>to identify the potential of terracing to enhance plant diversity and habitat heterogeneity in vineyards, analyse effects of management intensity on vineyard vegetation, and assess how </span><span>plant communities change after vineyard abandonment.</span></p> <p><span><strong>Location</strong>:</span><span> Wine-growing region of the Upper Middle Rhine Valley in Hesse (50.042342°N, 7.814533°E) and Rhineland-Palatinate (50.119139°N, 7.719275°E), Germany.</span><span> </span></p> <p><span><strong>Methods</strong>:</span><span> We recorded vascular plant species and local vineyard parameters in vertically oriented vineyards with vegetated and tilled open inter-rows, in terraced vineyards with tilled terrace inter-rows and extensively managed embankments and in vineyard fallows in a total of 45 study sites. We used plant species richness, Ellenberg indicator values and Grime's strategy types to describe how traits and ecological requirements respond to distinct vineyard management.</span><span> </span></p> <p><span><strong>Results</strong>:</span><span> Plant species richness and composition were determined by management-derived disturbance intensities. Extensively managed embankments had a distinct plant community, the highest plant species richness, more perennial and indicator species, and lower nitrogen indicator values compared to inter-rows. In contrast, highly disturbed open and terrace inter-rows revealed plant communities associated with annuals and ruderals, but species richness did not differ between terrace inter-rows and embankments. Plant communities of fallows were completely different with lower plant diversity. </span><span> </span></p> <p><span><strong>Conclusions</strong>:</span> <span>Our results highlight the potential of terraced vineyards for plant diversity with nutrient-poor, extensively managed embankments providing conditions that have become rare in modern agricultural systems. A long environmental gradient from terrace inter-rows to embankments created habitat heterogeneity at a narrow space. In contrast, intensive inter-row management in vertically oriented vineyards hampers high plant diversity and abandonment</span><span> fosters the spread of woody species at the expanse of plant diversity.</span></p>
Landscape simplification increases vineyard pest outbreaks and insecticide use
Open the record for dataset details and reuse information.
Data from: Effects of pesticides on soil bacterial, fungal and protist communities, soil functions and crop quality in vineyards
Open the record for dataset details and reuse information.
Data from: Promoting plant diversity and habitat heterogeneity through vineyard terracing
Open the record for dataset details and reuse information.
Contrasting effects of vineyard type, soil and landscape factors on ground- versus above-ground nesting bees
Open the record for dataset details and reuse information.
Data for: Local conditions matter: Minimal and variable effects of soil disturbance on microbial communities and functions in European vineyards
Open the record for dataset details and reuse information.
Landscape heterogeneity increases bird functional diversity within Neotropical vineyards
Open the record for dataset details and reuse information.
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.