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Fig. 4 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 4. Floors of orbit of male Austruca variegata (Heller, 1862) (a–d), A. bengali (Crane, 1975) (e, f) and A. triangularis (A. Milne-Edwards, 1873) (g, h). (a, b) CW 18.6 mm (ZRC 2018.1375; right-handed; Tamil Nadu, India); (c, d) CW 14.5 mm (ZRC 2017.0917; left-handed; West Bengal, India); (e, f) CW 14.5 mm (NCHUZOOL 14345; right-handed; Selangor, Malaysia); (g, h) CW 14.8 mm (NCHUZOOL 13574; left-handed; Cebu, Philippines). Scale bars = 5.0 mm.
Script and Data Repository - "Future food prices will become less sensitive to agricultural market prices and mitigation costs" Chen et al.
<p>MAgPIE Model outputs and scripts for analysis of markups, based on MarkupsChen package version 1.2 available here: https://github.com/caviddhen/MarkupsChen/releases/tag/v1.2</p> <p> </p> <p> </p>
Figures 4–7 in Gynandromorph of the squash bee Eucera (Peponapis) pruinosa (Hymenoptera: Apidae: Eucerini) from an agricultural field in western Pennsylvania, USA
Figures 4–7. Mosaic gynandromorph of Eucera (Peponapis) pruinosa (Say); scale bars = 2 mm. 4. Left lateral habitus showing female antennae and male legs. 5. Right lateral habitus showing male antennae and female legs. 6. Metasomal terga (in dorsal view) showing T3–T6; T6 with pygidial plate. 7. Metasomal sterna (in ventral view) showing typical female features, including a lack of carinae on S6 (present in male Peponapis).
Figure 2 in Generalist ground-nesting bees dominate diversity survey in intensively managed agricultural land
Figure 2. Species richness compared between sampling periods. Dark grey bars: species from the genus Andrena Fabricius (Andrenidae); light grey bars: species from the genera: Halictus Latreille, Lasioglossum Curtis (Halictidae), Osmia Panzer (Megachilidae), and Nomada Scopoli (Apidae); black bars: species from the genus Bombus Latreille (Apidae). Different letters above the dark grey bars indicate a significant statistical difference between sampling periods in total species richness of all sampled genera (F (3, 42) = 20.01, p<0.001).
Figures 1–3 in Gynandromorph of the squash bee Eucera (Peponapis) pruinosa (Hymenoptera: Apidae: Eucerini) from an agricultural field in western Pennsylvania, USA
Figures 1–3. Mosaic gynandromorph of Eucera (Peponapis) pruinosa (Say); scale bars = 2 mm. 1. Head (in frontal view) showing the distinct bilateral split between the sexes (right half female, left half male). 2. Dorsal habitus showing male and female antennae, mesosoma, and femalelike metasomal features. 3. Ventral habitus showing patchily distributed female and male features on the head and mesosoma, including the antennae and legs, and female-like metasoma.
Figure 1 in Generalist ground-nesting bees dominate diversity survey in intensively managed agricultural land
Figure 1. Total number of bees sampled in this study at the four different sampling periods. Dark grey bars: individuals from the genus Andrena Fabricius (Andrenidae); light grey bars: individuals from the genera: Halictus Latreille, Lasioglossum Curtis (Halictidae), Osmia Panzer (Megachilidae), and Nomada Scopoli (Apidae); black bars: individuals from the genus Bombus Latreille (Apidae). Different letters above the dark grey bars indicate a significant statistical difference between sampling periods in activity-density of individuals from all sampled genera (F (3, 42) = 18.89, p<0.001).
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset2
<p>This dataset contains the data underlying the following publication: Li Qimeng, Wang Cheng, Hua Ming, Shuang Chendong, Li Aimin, Gao Canzhu. (2017). High-efficient removal of phthalate esters from aqueous solution with an easily regenerative magnetic resin: Hydrolytic degradation and simultaneous adsorption. <em>Journal of Cleaner Production</em><em>. </em> <a href="https://doi.org/10.1016/j.jclepro.2017.11.121">https://doi.org/10.1016/j.jclepro.2017.11.121</a></p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset1
<p>This dataset contains the data underlying the following publication: Mouna Mahjoubi, Simone Cappello, Yasmine Souissi, Atef Jaouani and Ameur Cherif (February 7th 2018). Microbial Bioremediation of Petroleum Hydrocarbon– Contaminated Marine Environments, Recent Insights in Petroleum Science and Engineering Mansoor Zoveidavianpoor, IntechOpen, DOI: 10.5772/intechopen.72207</p> <p> </p>
Agriculture - General: Animal Production and Health
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Ecosystem services like pollination are affected by a variety of factors in agricultural used landscapes. This study was conducted to investigate the effects of land use intensity, local management and landscape structure on pollination services of bees.</p> <p>Bellach M (2016). Bee species data, InsectScale 2008. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/tzwu17">https://doi.org/10.15468/tzwu17</a> accessed via GBIF.org</p>
Agriculture - General: Natural Resources and Environment 2
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.The soil macrofauna on selected and avaialable EPs and VIPs was sampled in Spring and Autumn 2008 to relate land-use to soil diversity.</p> <p>Birkhofer K (2016). Species Soil Macrofauna 2008. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/frzxwp">https://doi.org/10.15468/frzxwp</a> accessed via GBIF.org</p>
Agriculture - Environmental sciences 3
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset. Bryophytes confirm a species rich plant group in ecosystems such as forests. We assessed bryophyte species diversity in relationship to forest-management types on 1050 forest plots.</p> <p>Müller J (2016). Bryophyte diversity in forests. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/svdnib">https://doi.org/10.15468/svdnib</a> accessed via GBIF.org</p>
Agriculture - Environmental sciences
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset."Sammelarten" sind durch agg= Aggregate oder total gekennzeichnet. Sie umfassen jene Taxa, die teilweise bis zur Kleinart, Subspecies oder Varietas bestimmt wurden, teilweise aber auch nur auf Gattungs- (… spec. (indet.)) oder Artebene. Taxonomie nach Wisskirchen,Haeupler (1998)Standardliste für Deutschland. Lebensformen nach Raunkiaer, C. (1910): Statistik der Lebensformen als Grundlage für die biologische Pflanzengeographie.-Beih. Biol. Cbl. 27 II, 170 - 206d. Rote Liste: KORNECK, D., SCHNITTLER, M., VOLLMER, I. (1996): Rote Liste der Farn- und Blütenpflanzen (Pteridophyta et Spermatophyta) Deutschlands. – LUDWIG, G., SCHNITTLER, M. [Hrsg.]: Rote Listen gefährdeter Pflanzen Deutschlands. – Schriftenr. Vegetationskd. 28: 21–187, Bundesamt für Naturschutz, Bonn.’ Socher S (2016). vegetation releves on grassland gridplots in 2007. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/vhxdeu">https://doi.org/10.15468/vhxdeu</a> accessed via GBIF.org</p>
Agriculture - General: Natural Resources and Environment
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.‘Sammelarten" sind durch agg= Aggregate oder total gekennzeichnet. Sie umfassen jene Taxa, die teilweise bis zur Kleinart, Subspecies oder Varietas bestimmt wurden, teilweise aber auch nur auf Gattungs- (… spec. (indet.)) oder Artebene. Taxonomie nach Wisskirchen,Haeupler (1998)Standardliste für Deutschland. Lebensformen nach Raunkiaer, C. (1910): Statistik der Lebensformen als Grundlage für die biologische Pflanzengeographie.-Beih. Biol. Cbl. 27 II, 170 - 206d. Rote Liste: KORNECK, D., SCHNITTLER, M., VOLLMER, I. (1996): Rote Liste der Farn- und Blütenpflanzen (Pteridophyta et Spermatophyta) Deutschlands. – LUDWIG, G., SCHNITTLER, M. [Hrsg.]: Rote Listen gefährdeter Pflanzen Deutschlands. – Schriftenr. Vegetationskd. 28: 21–187, Bundesamt für Naturschutz, Bonn.’</p> <p>Socher S (2016). vegetation releves on grassland gridplots 2007-2009. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/dmjxfo">https://doi.org/10.15468/dmjxfo</a> accessed via GBIF.org</p>
Agriculture - General: Natural Resources and Environment, Plant Production and Protection
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original <a href="<a href="http://dataset.in/">http://dataset.in/</a>">dataset.In this project we investigate seed bank and bryophyte propagule content in top soil in grasslands. Müller J (2016). Seed bank grassland. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/jax26w">https://doi.org/10.15468/jax26w</a> accessed via GBIF.org</p>
Agriculture - Forestry 2
<p>Amani Nature Reserve is located 55 km west of the coastal city of Tanga by road and 25 km from Muheza town. It is in Muheza and Korogwe districts in the mountain block of East Usambara between latitudes 5º 04’ 30" – 5º 14’ 10" S and longitudes 38º 30’ 34" - 38º 40’ 06" E with an area of 8,380ha. On the average the altitude of ANR ranges from 300 – 1128 m a.s.l (URT, 2010). It was formed in 1997 by combining six forest reserves i.e. Kwamkoro, Kwamsambia, Mnyuzi scarp, Amani Zigi, Amani East, Amani West and the 1,065 ha of submontane forest that was donated by the East Usambara Tea Company under a Forest Dedication Covenant. Amani is the wettest of all the East Usambara forest blocks,with at least 100 mm rain falling in most months. Monthly rainfall peaks in excess of 300 mm in April-May and reaches about 150 mm in October-December. Mean annual humidity is 87 % in the morning and 77 % at midday. Mean annual temperature at Amani Conservation Centre (900 m) is 21o C, with mean daily minimum and maximum temperature of 16.3o C and 24.9o C, respectively. The hottest season is January-February and the coolest is July-September. The two main forest types are semi-deciduous forests in the lowlands, particularly Mnyuzi Scarp with its lower rainfall, and tall luxuriant submontane evergreen forests in the mountains above 750 m, where rainfall is higher and the largest trees reach 65 m in height. Other biotopes include dry bushland (2%), grassland, barren rocky area and water bodies (all &lt; 1%). Dense submontane forest covers about half and dense lowland forest about one third of the Nature Reserve. Amani Botanical Gardens (340 ha) lie within the periphery of the Nature Reserve which was established in 1902, and it has over 1,000 species from around the world. This has contributed to some 6 % (520 ha) of former submontane forests having been invaded by exotic species, such as Maesopsis eminii, Cedrella odorata and palm trees. Common tree species include Cephalosphaera usambarensis, Allanblackia stuhlmannii, Albizia gummifera, Beilschmiedia kweo, Diospyros abyssinica, Englerodendron usambarense and Drypetes gerrardii. Epiphytic lichens and bryophytes are abundant especially in steep summits. According to census conducted in 2012, the population of Muheza and Korogwe districts are 202,038 and 492,441 respectivelly that make a total of 694479. The main economic activity of the people sorounding the reserve is agriculture (URT, 2013). Lyimo P, Munishi P, Bugingo A, Masaka K, Emily C, Paul C, Mtalikwa S (2018). Endemic plant species of Amani Nature Reserve in Eastern Arc Mountains of Tanzania. Version 1.1. Sokoine University of Agriculture, Department of Ecosystems and Conservation. Occurrence dataset <a href="https://doi.org/10.15468/fj6180">https://doi.org/10.15468/fj6180</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 3
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Thistles belong to a prominent plant group in agricultural used grasslands. Many invertebrates feed on thistles or depend on thistle herbivores. Müller J (2016). Thistles and numbers of observed invertebrates, fungi and damage types. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/keltlv">https://doi.org/10.15468/keltlv</a> accessed via GBIF.org</p>
Agriculture - Environmental sciences 2
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Vegetation relevés of all 400 m² GPs in forests.</p> <p>Boch S (2016). Vascular plant diversity in forests. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/ckaefy">https://doi.org/10.15468/ckaefy</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 2
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Trapping small mammals with live traps in all three Exploratories and all EPs, but not grasland plots with cattle. Heinze E (2016). Small mammal species list 08. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/pioxzy">https://doi.org/10.15468/pioxzy</a> accessed via GBIF.org</p>
Agriculture - Forestry
<p>The Eastern Arc comprises the ancient crystalline mountains that run from the Taita Hills in Kenya to the Makambako Gap just to the south-west of the Udzungwa Mountains, Tanzania and that are under the direct climatic influence of the Indian Ocean (Lovett, 1990). These mountains support forest and some grassland and heathland vegetation, although large areas have been converted from natural vegetation to agriculture and plantations. There is a chain of somewhat similar montane forest areas extending from southern Tanzania to Malawi, Mozambique and Zimbabwe. However, these more southern forests are not so directly under the Indian Ocean climatic regime, are subject to more variable convectional rainfall patterns, and the forests do not possess the species richness and endemism of the Eastern Arc. Together, the Eastern Arc and these other montane forest areas comprise the Tanganyika-Nyasa Mountain Forest Group. Lyimo P, Munishi P (2018). Occurrence data of tree species for crystalline Mountain Forest of Tanzania.. Version 1.4. Sokoine University of Agriculture, Department of Ecosystems and Conservation. Occurrence dataset <a href="https://doi.org/10.15468/tjq4xs">https://doi.org/10.15468/tjq4xs</a> accessed via GBIF.org</p>
Dataset - Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth
<p>The data set attached consists of different files of the software SIGMAPLOT where the data from the article “Nutrient Removal from Agricultural Run-off in demonstrative full scale tubular photobioreactors for microalgae growth<strong>”</strong>, published in Ecological Engineering (vol. 120, 17<sup>th</sup> July 2018, 513-521.) can be found, as well as the different equations and formulae that were used to obtain the published results.</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.