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FIG. 3. — Specimen BPB 1 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 3. — Specimen BPB 1 (Parapapio broomi Jones,1937) still embedded in the in situ breccia before extraction:muzzle extremity (A); skull vault (B); skull back (C);right M3/ (D).
FIG. 16 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 16. — Distal part of the left mandible of Parapapio broomi Jones, 1937, specimen BPB 13: A, buccal view; B, lingual view; C, superior view; D, occlusal view of m/3. Scale bar: 10 mm.
FIG. 20. — A, B in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 20. — A, B, Left patella of Papionina indet., specimen BPB 5: A, anterior view;B, posterior view;C, D, fragment of a right talus of Papionina indet., specimen BPB 6: C, inferior view; D, superior view. Scale bar: 10 mm.
FIG. 21 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 21. — Anterior part of calvaria of Cercopithecoides cf. williamsi Mollett, 1947, specimen BPB 7: A, superior view; B, inferior view; C, frontal view; D, two isolated fragments of the calvaria. Scale bar: 10 mm.
FIG. 8 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 8. — Bivariate plots MD × BL (mesio-distal length × maximum bucco-lingual breadth in mm) of upper first molars (M1/) of different taxa of fossil Papionines from South Africa with some from East Africa (data from Freedman 1957, 1965; Frost 2001; Frost & Delson 2002; this study) (Appendix 2).
FIG. 7 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 7. — Bivariate plots MD × BL (mesio-distal length × maximum bucco-lingual breadth in mm) of upper fourth premolars (P4/) of different taxa of fossil Papionines from South Africa with some from East Africa (data from Freedman 1957, 1965; Frost 2001; Frost & Delson 2002; this study) (Appendix 1).
FIG. 11 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 11. — Right mandible of Parapapio broomi Jones, 1937, specimen BPB 2: A, buccal view; B, lingual view; C, superior view; D, occlusal view of m/1-m/3. Scale bar: 10 mm.
FIG. 1 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 1. — Map of the locality of Brad Pit (BP). The different loci: BPA, Brad Pit A; BPB, Brad Pit B; BPE, Brad Pit Extension (newly discovered). "Parapapio spot" is indicated by a black star.
FIG. 12 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 12. — Bivariate plots MD × BL (mesio-distal length × maximum bucco-lingual breadth in mm) of lower second molars (m/2) of different taxa of fossil Papionines from South Africa with some from East Africa (data from Freedman 1957, 1965; Frost 2001; Frost & Delson 2002; this study) (Appendix 5).
FIG. 10 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 10. — Bivariate plots MD × BL (mesio-distal length × maximum bucco-lingual breadth in mm) of upper third molars (M3/) of different taxa of fossil Papionines from South Africa with some from East Africa (data from Freedman 1957, 1965; Frost 2001; Frost & Delson 2002; this study) (Appendix 4).
Farmers' expectations and acceptance of new technologies involved in circular agriculture at the farm level
<table> <tbody> <tr> <td>Dataset description </td> <td>Data correspond to 149 farmers from four EU countries (Spain, Italy, Croatia, and the Czech Republic). This database contains information about farmer characteristics, farm structural characteristics, and farm management, and also contains preferences and attitudinal constructs (such as agribusiness objectives, and environmental attitudes and opinions) and variables related to questions about the potential adoption of the proposed innovations</td> </tr> <tr> <td>Collection</td> <td> Data was collected online from March to August 2021, using a survey instrument, administered to farmers face to face.</td> </tr> <tr> <td>Utility</td> <td>The data provides insight into farmer acceptance of five different circular agricultural innovations designed to reduce nutrient loss at the farm level and focused on improving environmental sustainability.</td> </tr> </tbody> </table> <p> </p> <p> </p>
Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco Dataset
<p>Here you can find the official data used for the publication "Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco"</p> <p>If you want to run the model, please update line 11 in the run.jl file, to select the dataset from the scenario you want to look at. It is also recommended to change the result path, to a directory that corresponts to the current model run in order to find the results files quicker.</p> <p> </p> <p>To create a new plot a file called newPlot.jl can be found, that already take care of most data handling, only lines 136 and 141 need to be changed, in order to read in the result files of the results you want to investigate.</p>
Genetic differentiation following recent domestication events: A study of farmed Nile tilapia (Oreochromis niloticus) populations
<p>SNP array data from our research article. It contains the SNP markers in common across the different Nile tilapia (Oreochromis niloticus) populations assessed in the study</p>
Daily soil water content under different tillage techniques in Józsefmajor Experimental and Training Farm, Hungary
<p>Continous soil water content monitoring of a Central European chernozem type soil under mouldboard ploughing (MP) and no-tillage (NT) treatments</p> <p>Measurement frequency was 10 minutes, aggragated daily mean data are presented.</p> <p>Sampling depths: 5-10, 15-20, 30-35, 40-45 cm</p> <p><strong>Site description:</strong> Józsefmajor Experimental and Training Farm's long-term tillage experiment (Hungary, 47.688, 19.605).</p> <p>crop rotation, adaptable fertilization, Haplic Kastanozem (Aric, Pantoloamic, Pachic, Bathycalcic) soil type,</p> <p> </p>
Dataset on Article: River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts
<p>This repository contains raw data from the article "River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts" which is currently under review.</p> <p>It contains data to allocate the pressures (<strong>Data_pressure_allocation.csv</strong>) and calculate the Pressure Index (<strong>Data_pressure_index.csv</strong>) for Table 1, and for the Spearman correlations for Figure 2 (<strong>Data_Spearman_correlations.csv</strong>).</p> <p> </p> <p>Also available is the Shapefile used for the different agricultural maps (Figure 1 and Figure S1-S4):</p> <p><strong>Shapefile Schürings_et_al._2023</strong> (Coordinate system: ETRS 1989 UTM Zone 32N)</p> <p><strong>Attribute description</strong></p> <p>Id - Identifier of polygons</p> <p>gridcode - Code of agricultural archetypes of Levers et al., (2018)</p> <p>M_ZHYD: Unique identifier of corresponding FEC</p> <p>mars_bt12: River types</p> <p>eco_stat_2: Ecological status</p> <p>Biogeoregi: Biogeographical Regions - AN = Northern and Highland, Temp = Temperate, Mediterranean = Mediterranean</p> <p>Cum_pressu: Agricultural pressure index</p> <p>Nitrogen: Agricultural nitrogen pressure</p> <p>Pesticides: Agricultural pesticide pressure</p> <p>Hydromorph: Agricultural hydromorphological pressure</p> <p>Water_abst: Agricultural water abstraction</p>
Sensor Data - Mrak's Farm
<p>The data set includes data from two sensors located at the Mrak's Farm near Bled, Slovenia. Sensor 1 is located on the 1st floor, and sensor 2 is located on the ground floor. The data set includes dates from 24.6.2020 until 31.12.2020. Both sensors are hanging in the air attached to a string.</p>
Artifact for MobiCom'23: Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility
<p>This dataset contains the anonymized failure data collected from our physical and device farms over a three-month period. The failure data involves 5,918 physical devices as well as 5,918 virtualized devices running on ARM commodity servers.</p> <p>For more details, please visit our website (<a href="https://android-emulation-testing.github.io/">Android-Emulation-Testing.github.io</a>) or read our paper:</p> <ul> <li>[MobiCom'23] Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility</li> </ul> <p>If you use our dataset in your work, please reference it using:</p> <pre><code>@inproceedings {lin2022virtual, author = {Lin, Hao and Qiu, Jiaxing and Wang, Hongyi and Li, Zhenhua and Gong, Liangyi and Gao, Di and Liu, Yunhao and Qian, Feng and Zhang, Zhao and Yang, Ping and Xu, Tianyin}, title = {{Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility}}, booktitle = {The 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom'23)}, year = {2023}, publisher = {ACM} }</code></pre> <p> </p> <p> </p>
Stable isotopes reveal intertidal fish and crabs use shellfish farms as foraging habitat in Puget Sound, Washington
<p>This is the dataset used for my second thesis chapter. The data consists of carbon and nitrogen stable isotope data collected in 3 locations in North Puget Sound in 2020-2022. Locations are Samish Bay, Padilla Bay, and Drayton Harbor. Stable isotope data is presented in standard permil format, with values referenced from the Vienna Pee Dee Belemnite and atmospheric nitrogen standards, which are the international reference standards commonly used as isotopic references for carbon and nitrogen. </p> <p>Primary productivity samples, snails, oysters, and clams were collected by hand at low tide. Fish and crabs were collected via beach seine and crab pots deployed concurrently with seining. </p> <p>Samples were collected either within bivalve farms, or within eelgrass meadow reference sites outside of farmed areas.</p> <p>All code and data necessary to reproduce the analysis is available via my Github page. </p> <p>The metadata spreadsheet contains descriptions of each column in the datasheet.</p> <p>For more information, see my chapter 2 thesis.</p>
FarmConners Wind Farm Flow Control Benchmark: Blind Test with CL-WINDCON Wind Tunnel Data
<p>This is the dataset used for running the fourth Blind Test of the FarmConners Wind Farm Flow Control Benchmark. The Blind Test was performed with an extensive dataset gathered while testing a cluster of three scaled wind turbines within a large boundary layer wind tunnel. The experimental dataset has been compared against the predictions provided by 5 different control-oriented wind farm flow models. The resulting comparison is described in the paper "FarmConners Wind Farm Flow Control Benchmark: Blind Test Results, Part 2", by Campagnolo et al, (2023). The dataset consists of:</p> <ol> <li>measurements of the flow within the wake shed by one or two machines, as well as measurements of the power, loads (on the rotating shaft and at tower base), and pitch/yaw/torque actuators states of the three scaled machines. The measurements have been performed under a wide range of inflow and machines operating conditions. The time series of the measured data are provided in the format of Matlab structures saved in .mat files.</li> <li>Predictions provided by the models used by the Blind Test participants</li> <li>Matlab scripts used for comparing the experimental dataset and the numerical predictions provided by the Blind Test participants</li> <li>Additional data provided to the Blind Test participants. This includes a FAST model of the scaled wind turbine and the mapping of the inflow of the empty wind tunnel. </li> </ol>
Reciprocal nutritional provisioning between leafcutter ants and their fungal cultivar mediates performance of symbiotic farming systems
<ol> <li>Optimized food acquisition is challenging because foraged diet items are chemically complex and often nutritionally imbalanced. These challenges are likely magnified when foraged foods are used to provision others (e.g., offspring, nestmates, symbionts) with different nutritional requirements.</li> <li>We used a theoretical framework of nutritional niches to study these provisioning challenges in leafcutter ants that cultivate a fungal symbiont with nutrients derived from freshly foraged plant fragments. While the leaf-cutting behaviours of free-ranging foragers are well studied, little is known about how colonies use these plant fragments to produce their fungal crop within underground nest chambers.</li> <li>For instance, gardener ants are known to convert vegetation into a nutritional mulch that they plant on the fungus garden. However, it remains poorly understood how the ants use this mulch to target the specific nutritional needs of their fungal crop, and whether the cultivar signals if provisioned mulch meets its nutritional needs. Towards answers, we performed three experiments to assess the precision and specificity of nutritional regulation in farming systems of the Panamanian leafcutter ant <em>Acromyrmex</em> <em>echinatior</em>.</li> <li>A laboratory feeding experiment with nutritionally defined diets showed that ant farmers collect a specific intake target for protein and carbohydrates and then linked strict protein regulation by foragers to the cultivar's fundamental niche for protein. </li> <li>An in vitro experiment with the fungal cultivar in isolation did not detect a signal of protein stress that could be used by the ants to regulate their provisioning behaviour, but it did identify an elevated fatty acid that may reinforce optimal nutritional provisioning if detected by gardening ants.</li> <li>A feeding experiment with isotopically labelled diets then revealed nutrient-specific and caste-specific allocation timelines, with nitrogen being assimilated into the cultivar's nutritional rewards before being exclusively consumed by developing brood. In turn, these combined results help resolve the integrated behaviours that give rise to resilient leafcutter farming productivity. </li> <li>These results show how nutritional niches can help disentangle reciprocal provisioning dynamics between symbionts while providing a framework to explore the nutritional transactions that mediate symbiotic stability (e.g., sanctioning, screening, policing).</li> </ol>
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.