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Fig 9 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 9 Effects of water extracts of rescue grass-fed desert locust frass on A. Egg widths (mean ± SD; n = 10) and B. Antennal lengths of embryos (mean ± SD; n = 6–11). Eggs were incubated in sand wetted with the frass extract (treated) or water (control) on day three after oviposition at 30°C. C–F. Photographs show embryos observed on days 5 and 9. Triangles in (A) and (B) indicate the time when the treatment started. Vertical bars in C–F indicate 1 mm. White arrows indicate an embryonic antenna in C–E.
Fig 1 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 1 Effects of water extracts of desert locust frass collected under umbrella thorn trees in the Mauritanian desert on the number of A., B. Egg pods laid, and C., D. Holes dug by adult female desert locusts presented with extracts mixed with sand. Frass were collected at sites #1 and #2 in 2016 and 2017, respectively. Two cups containing frass extracts (treated) and water (control) were simultaneously presented to locusts in each of two locust cages for seven or five days, and the data were combined. Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Asterisks indicate a significant difference at the 5% level with a t-test. n.s. indicates no significant difference.
Fig 8 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 8 Effects of water extracts of rescue grass-fed Bombay locust (Ns) and migratory locust (Lm) frass on desert locust egg hatching rates. Five groups of 20 eggs were buried in sand wetted with each extract and water alone (control, C) within three days after oviposition and were observed for hatching at 30°C. Asterisks indicate significant differences at the 5% level with GLMM.
Fig 7 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 7 Effects of hot and cool water extracts of rescue grass-fed desert locust frass on the number of A. Egg pods laid and B. Holes dug by adult female desert locusts. Frass were extracted with boiling and cool water and the extracts were mixed with sand. Sand cups containing these extracts and water as a control were presented to locusts in the same cage for 4 days. Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Different letters in (A) indicate significant differences at the 5% level with Tukey's multiple comparison test. n.s. in (B) indicates no significant difference with ANOVA at the 5% level.
Fig 3 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 3 Effects of water extracts of leaves of various plants and desert locust frass collected after locusts fed on these plants on the numbers of egg pods laid by adult female desert locusts presented with sand mixed with extracts. Sand wetted with water was also presented as a control. Three cups containing leaf, frass extract, and water (control) were simultaneously presented to locusts in one (A, C, D) or two locust cages (B, E, F) for three to five days, and the data were combined in (B), (E), and (F). Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Different letters in each panel indicate significant differences at the 5% level with Tukey's multiple comparison test. DG, Dactylis glomerata (orchard grass); BO, Brassica oleracea var. capitata (cabbage); SB, Sorghum bicolor (sorghum); LS, Lactuca sativa var. longifolia (romaine lettuce); BR, Brassica rapa var. perviridis (Japanese mustard spinach); MS, Miscanthus sinensis (silver grass).
Fig 4 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 4 Effects of water extracts of leaves of various plants and desert locust frass after locusts fed on these plants on the numbers of egg pods laid when extracts were mixed with sand and presented to adult female desert locusts. Two cups containing leaf and frass extracts were simultaneously presented to locusts in each of two locust cages for three to five days, and the data were combined. Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Asterisks indicate significant differences at the 5% level with a t-test. n.s. indicates no significant difference. DG, Dactylis glomerata (orchard grass); BO, Brassica oleracea var. capitata (cabbage); SB, Sorghum bicolor (sorghum); LS, Lactuca sativa var. longifolia (romaine lettuce); BR, Brassica rapa var. perviridis (Japanese mustard spinach); MS, Miscanthus sinensis (silver grass).
Data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal
<p>This data set contains the data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal. <span>The settings and crop parameters are consist of maize</span><span><span>(</span></span><span><a title="Ran, 2018 #74" href="#_ENREF_44"><span>Ran et al., 2018</span></a></span><span>; </span><span><a title="Shirazi, 2021 #75" href="#_ENREF_48"><span>Shirazi et al., 2021</span></a></span><span>)</span><span></span><span>, flower</span><span><span>(</span></span><span><a title="Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018 #83" href="#_ENREF_45"><span>Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span> and wheat</span><span><span>(</span></span><span><a title="Iqbal, 2014 #76" href="#_ENREF_17"><span>Iqbal et al., 2014</span></a></span><span>; </span><span><a title="Huang, 2022 #79" href="#_ENREF_15"><span>Huang et al., 2022</span></a></span><span>; </span><span><a title="Lyu, 2022 #99" href="#_ENREF_38"><span>Lyu et al., 2022</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span>,</span><span> which used for initializing AquaCrop-OS . </span></p>
Figure 2 from: Piazza P, Blazewicz-Paszkowycz M, Ghiglione C, Alvaro M, Schnabel K, Schiaparelli S (2014) Distributional records of Ross Sea (Antarctica) Tanaidacea from museum samples stored in the collections of the Italian National Antarctic Museum (MNA) and the New Zealand National Institute of Water and Atmospheric Research (NIWA). ZooKeys 451: 49-60. https://doi.org/10.3897/zookeys.451.8373
Figure 2 - Map of sampling stations. Green dots: samples stored at the MNA. Blue dots: samples stored at the NIWA.
Supplementary material 6 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 2 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 5 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 7 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 4 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 3 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Supplementary material 1 from: Petrocelli A, Cecere E, Rubino F (2019) Successions of phytobenthos species in a Mediterranean transitional water system: the importance of long term observations. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 217-246. https://doi.org/10.3897/natureconservation.34.30055
: Data type: measurement
Water Isotope System for Precipitation and Entrainment Research (WISPER) IMPACTS
The Water Isotope System for Precipitation and Entrainment Research (WISPER) IMPACTS dataset consists of condensed water contents, water vapor measurements, and isotope ratios in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The dataset files are available in ASCII format from January 18, 2020, through February 28, 2023.
Data from: Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional herbicide water quality data
PLEASE NOTE, THESE DATA ARE ALSO REFERRED TO IN ANOTHER PUBLICATION. PLEASE SEE http://doi.org/10.2134/jeq2013.12.0518. Goodwater Creek Experimental Watershed (GCEW) has been the focus area of a long-term effort to document the extent of and to understand the factors controlling herbicide transport. We document the datasets generated in the 20-yr-long research effort to study the transport of herbicides to surface and groundwater in the GCEW. This long-term effort was augmented with a spatially broad effort within the Central Mississippi River Basin encompassing 12 related claypan watersheds in the Salt River Basin, two cave streams on the fringe of the Central Claypan Areas in the Bonne Femme watershed, and 95 streams in northern Missouri and southern Iowa. Details of the analytical methods, periods of record, number of samples, study locations, and means of accessing these data are provided. In addition, a brief overview of significant findings is presented. A key finding was that near-surface restrictive soil layers, such as argillic horizons of smectitic mineralogy, result in greater herbicide transport than soils with high percolation and low clay content. Because of this, streams in the claypan soil watersheds of northeastern Missouri have exceptionally high herbicide concentrations and relative loads compared with other areas of the Corn Belt.
Figure 2 from: Valatin G, Abildtrup J, Accastello C, Al-Tawaha A, Andreucci M, Atanasova S, Avdibegović M, Baksic N, Banasik K, Barquin J, Barstad J, Bastakova V, Becirovic D, Begueria S, Bethers U, Bihunova M, Blagojevic B, Bösch M, Bournaris T, Cao Y, Carvalho-Santos C, Chikalanov A, Cunha e Sá M, Czyżyk K, Daly H, Davies H, Del Campo A, Groot R, De Vreese R, Dostál T, El Mokaddem A, Finér L, Evans R, Fiquepron J, Frac M, Futter M, Garcia S, Gatto P, Geneletti D, Gezik V, Giupponi C, González-Sanchís M, Gordillo F, Gorriz E, Grigorova Y, Heinsoo K, Hochbichler E, Högbom L, Image M, Jacobsen J, Japelj A, Jelic S, Junk J, Juhasz C, Kagalou I, Kelly-Quinn M, Klamerus-Iwan A, Kluvankova T, Koeck R, Konovska I, Ostoic S, Krc J, Lavnyy V, Leonardi A, Libiete Z, Little D, Lo Porto A, Loukas A, Lyubenova M, Maric B, Martínez-López J, Martinez I, Maxim A, Metslaid M, Melvin A, Costică M, Mincev I, Morkvenas Z, Nevenic R, Nisbet T, O'hUallachain D, Olschewski R, Östberg J, Oszust K, Ovando P, Paletto A, Parpan T, Pettenella D, Malovrh Š, Planinšek Š, Podlipná R, Posavec S, Potočki K, Prokofieva I, Quinteiro P, Radocz L, Ristic R, Robert N, Rugani B, Sabanovic J, Sarvasova Z, Savoska S, Schleppi P, Schueler G, Shannon M, Silgram M, Srdjevic B, Stefan G, Stijovic A, Strange N, Tattari S, Teofilovski A, Termansen M, Thorsen B, Toth A, Trebs I, Tmušić N, Vasiliades L, Vedel S, Ventrubová K, Vuletic D, Winkel G, Yao R, Young S, Yousefpour R, Zahvoyska L, Zhang D, Zhou J, Žižková E (2017) PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services. Research Ideas and Outcomes 3: e13828. https://doi.org/10.3897/rio.3.e13828
Figure 2 - GANTT Diagram
Figure 1 from: Valatin G, Abildtrup J, Accastello C, Al-Tawaha A, Andreucci M, Atanasova S, Avdibegović M, Baksic N, Banasik K, Barquin J, Barstad J, Bastakova V, Becirovic D, Begueria S, Bethers U, Bihunova M, Blagojevic B, Bösch M, Bournaris T, Cao Y, Carvalho-Santos C, Chikalanov A, Cunha e Sá M, Czyżyk K, Daly H, Davies H, Del Campo A, Groot R, De Vreese R, Dostál T, El Mokaddem A, Finér L, Evans R, Fiquepron J, Frac M, Futter M, Garcia S, Gatto P, Geneletti D, Gezik V, Giupponi C, González-Sanchís M, Gordillo F, Gorriz E, Grigorova Y, Heinsoo K, Hochbichler E, Högbom L, Image M, Jacobsen J, Japelj A, Jelic S, Junk J, Juhasz C, Kagalou I, Kelly-Quinn M, Klamerus-Iwan A, Kluvankova T, Koeck R, Konovska I, Ostoic S, Krc J, Lavnyy V, Leonardi A, Libiete Z, Little D, Lo Porto A, Loukas A, Lyubenova M, Maric B, Martínez-López J, Martinez I, Maxim A, Metslaid M, Melvin A, Costică M, Mincev I, Morkvenas Z, Nevenic R, Nisbet T, O'hUallachain D, Olschewski R, Östberg J, Oszust K, Ovando P, Paletto A, Parpan T, Pettenella D, Malovrh Š, Planinšek Š, Podlipná R, Posavec S, Potočki K, Prokofieva I, Quinteiro P, Radocz L, Ristic R, Robert N, Rugani B, Sabanovic J, Sarvasova Z, Savoska S, Schleppi P, Schueler G, Shannon M, Silgram M, Srdjevic B, Stefan G, Stijovic A, Strange N, Tattari S, Teofilovski A, Termansen M, Thorsen B, Toth A, Trebs I, Tmušić N, Vasiliades L, Vedel S, Ventrubová K, Vuletic D, Winkel G, Yao R, Young S, Yousefpour R, Zahvoyska L, Zhang D, Zhou J, Žižková E (2017) PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services. Research Ideas and Outcomes 3: e13828. https://doi.org/10.3897/rio.3.e13828
Figure 1 - Types of PES Schemes
Figure 3 from: Valatin G, Abildtrup J, Accastello C, Al-Tawaha A, Andreucci M, Atanasova S, Avdibegović M, Baksic N, Banasik K, Barquin J, Barstad J, Bastakova V, Becirovic D, Begueria S, Bethers U, Bihunova M, Blagojevic B, Bösch M, Bournaris T, Cao Y, Carvalho-Santos C, Chikalanov A, Cunha e Sá M, Czyżyk K, Daly H, Davies H, Del Campo A, Groot R, De Vreese R, Dostál T, El Mokaddem A, Finér L, Evans R, Fiquepron J, Frac M, Futter M, Garcia S, Gatto P, Geneletti D, Gezik V, Giupponi C, González-Sanchís M, Gordillo F, Gorriz E, Grigorova Y, Heinsoo K, Hochbichler E, Högbom L, Image M, Jacobsen J, Japelj A, Jelic S, Junk J, Juhasz C, Kagalou I, Kelly-Quinn M, Klamerus-Iwan A, Kluvankova T, Koeck R, Konovska I, Ostoic S, Krc J, Lavnyy V, Leonardi A, Libiete Z, Little D, Lo Porto A, Loukas A, Lyubenova M, Maric B, Martínez-López J, Martinez I, Maxim A, Metslaid M, Melvin A, Costică M, Mincev I, Morkvenas Z, Nevenic R, Nisbet T, O'hUallachain D, Olschewski R, Östberg J, Oszust K, Ovando P, Paletto A, Parpan T, Pettenella D, Malovrh Š, Planinšek Š, Podlipná R, Posavec S, Potočki K, Prokofieva I, Quinteiro P, Radocz L, Ristic R, Robert N, Rugani B, Sabanovic J, Sarvasova Z, Savoska S, Schleppi P, Schueler G, Shannon M, Silgram M, Srdjevic B, Stefan G, Stijovic A, Strange N, Tattari S, Teofilovski A, Termansen M, Thorsen B, Toth A, Trebs I, Tmušić N, Vasiliades L, Vedel S, Ventrubová K, Vuletic D, Winkel G, Yao R, Young S, Yousefpour R, Zahvoyska L, Zhang D, Zhou J, Žižková E (2017) PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services. Research Ideas and Outcomes 3: e13828. https://doi.org/10.3897/rio.3.e13828
Figure 3 - PERT Diagram
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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.