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Rinker's Treatment Wetland Water Quality monitoring data (2017 - 2019), South Daytona, Florida
<p><span>Water quality was monitored at a constructed treatment wetland in South Daytona, Florida through </span>a<span> </span><span>two-year</span><span> </span><span>project</span><span> </span><span>(Oct</span><span> </span><span>2017-</span><span> </span>Sept<span> </span><span>2019). </span></p> <p><strong><span>The 2017-2018 INDIAN<span> </span><span>RIVER</span><span> </span><span>LAGOON</span><span> </span><span>NATIONAL</span><span> </span><span>ESTUARY</span><span> </span><span>PROGRAM funded Project</span></span></strong></p> <p><strong><span>Submitted to the IRL Council</span></strong></p> <p><strong><span>Oct 8<sup>th</sup>, 2018</span></strong></p> <p><span> </span></p> <p><strong><span>Project<span> </span>Title</span></strong><span>: <span><span> </span></span>Reed<span> </span><span>Canal</span> <span><span> </span></span>Basin <span><span> </span></span>Stormwater <span><span> </span></span>Improvement <span><span> </span></span>through <span><span> </span></span>Treatment <span><span> </span></span>Wetland</span><span> </span><span>Construction<span> </span>in<span> </span>South<span> </span>Daytona,<span> </span>FL</span></p> <p><strong><span>Project<span> </span>Applicant:<span> </span></span></strong><span>Bethune-Cookman</span><span> </span><span>University</span><span> </span><span>(B-CU)</span></p> <p> </p> <p><strong><span>Amount</span></strong><strong><span> </span></strong><strong><span>of</span></strong><strong><span> <span>Request</span></span></strong><span>:</span><span> </span><span>$181,148</span></p> <h3><span>Other</span><span> </span><span>Funding</span> <span>Sources</span><span> </span><span>and</span> <span>Amount</span><span> </span><span>of</span> <span>Total</span><span> </span><span>Match</span><span>:</span><span> </span><span>$183,095</span></h3> <p><span><span>B-C</span></span>U <span><span> </span></span><span>($74,631);</span> <span><span> </span></span><span>EPA</span> <span><span> </span></span><span>319</span> <span><span> </span></span><span>($11,250);</span> <span><span> </span></span><span>Local</span> <span><span> </span></span><span>wetland/tree/shoreline</span> <span><span> </span></span><span>restoration</span> <span><span> </span></span><span>funds</span> <span><span> </span></span><span>(pending</span></p> <p><span>$60,000); AE-Group ($5,000); </span><span>Volunteers</span><span> </span><span>($2,214);</span><span> </span><span>Project </span>H2O<span> </span><span>Academy</span><span> </span><span>and</span><span> </span><span>partners</span><span> </span><span>($30,000)</span></p> <p><span>The project goals were </span><span>to</span><span> </span><span>design,</span><span> </span><span>construct,</span><span> </span><span>and</span><span> </span><span>assess</span><span> </span>a<span> </span><span>treatment</span><span> </span><span>wetland,</span><span> </span><span>retrofit</span><span> </span><span>Rinker’s</span><span> </span><span>pond</span><span> </span><span>within<span> </span><span>the</span><span> </span><span>city</span></span><span>-owned</span> <span>plat, monitor water quality,</span><span> and</span><span> </span><span>conduct plant</span><span> </span><span>surveys</span><span> </span><span>to</span> test<span> the</span> <span>effectiveness</span><span> </span><span>of </span><span>treatment wetlands</span><span> </span>in<span> stormwater</span> <span>management </span><span>and</span><span> habMayitat quality improvement.</span><span> </span><span>This</span><span> </span><span>project</span><span> </span><span>will</span><span> </span><span>engage</span><span> </span><span>the</span><span> </span><span>residents</span><span> </span><span>into</span><span> </span><span>public</span><span> </span><span>education</span><span> </span><span>programs</span><span> </span>in<span> </span><span>order</span><span> </span><span>to</span><span> </span><span>help</span><span> </span><span>them</span><span> </span><span>enhance</span><span> </span><span>their</span><span> </span><span>awareness</span><span> </span><span>of</span> <span>issues</span><span> </span>of <span>and</span><span> solutions</span><span> </span><span>to</span> <span>stormwater</span><span> </span><span>associated</span> <span>problems.</span></p>
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph) in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph)
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region
Рис. 1. А – р. Зарафшан в среднем течении (предгорнаЯ река); В – р. Зарафшан в ниЖнем течении (равниннаЯ река). Фото Н. РуЗикуловой, 2019 г. Fig. 1. А – the Middle Zarafshan River (submountain river); B – the Lower Zarafshan River (lowland river). Photo by N. Ruzikulova, 2019. in Patterns of ecology and life cycles of aquatic molluscs from Central Asia
Рис. 1. А – р. Зарафшан в среднем течении (предгорнаЯ река); В – р. Зарафшан в ниЖнем течении (равниннаЯ река). Фото Н. РуЗикуловой, 2019 г. Fig. 1. А – the Middle Zarafshan River (submountain river); B – the Lower Zarafshan River (lowland river). Photo by N. Ruzikulova, 2019.
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region
Рис. 3. ЧисΛо яиц в цистах Heterodera glycines разных размерных групп в 2018 и 2019 гг. Fig. 3. Number of eggs in cysts of Heterodera glycines of different size groups in 2018 and 2019 in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 3. ЧисΛо яиц в цистах Heterodera glycines разных размерных групп в 2018 и 2019 гг. Fig. 3. Number of eggs in cysts of Heterodera glycines of different size groups in 2018 and 2019
Land Use and Land Cover Mapping of Katanino Forest Reserve, Zambia (2019–2023)
<h1><strong>Overview</strong></h1> <p>The land use and land cover maps encompass the Katanino Forest Reserve in the Copperbelt province, Zambia. These maps categorize the area into two classes: forest and non-forest. They were derived from NICFI, Sentinel-2, and Sentinel-1 mosaics, resulting in a spatial resolution of 4.77 meters, covering the period from 2019 to 2023. </p> <h1><strong>Maps Accuracy</strong></h1> <p>The overall accuracy of the final annual maps (2019–2023) ranged from 0.90 to 0.94. The user’s and producer’s accuracies are detailed in Table 1.</p> <p>Table 1: Land use and land cover maps validation, including overall, producer (PA) and user (UA) accuracies values for each class.</p> <table> <tbody> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>2019</span></strong></p> </td> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>2020</span></strong></p> </td> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>2021</span></strong></p> </td> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>2022</span></strong></p> </td> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>2023</span></strong></p> </td> <td> <p><strong><span> </span></strong></p> </td> </tr> <tr> <td> <p><strong><span> </span></strong></p> </td> <td> <p><strong><span>PA</span></strong></p> </td> <td> <p><strong><span>UA</span></strong></p> </td> <td> <p><strong><span>PA</span></strong></p> </td> <td> <p><strong><span>UA</span></strong></p> </td> <td> <p><strong><span>PA</span></strong></p> </td> <td> <p><strong><span>UA</span></strong></p> </td> <td> <p><strong><span>PA</span></strong></p> </td> <td> <p><strong><span>UA</span></strong></p> </td> <td> <p><strong><span>PA</span></strong></p> </td> <td> <p><strong><span>UA</span></strong></p> </td> </tr> <tr> <td> <p><span>Forest</span></p> </td> <td> <p><span>0.87</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.83</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.88</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.91</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.88</span></p> </td> <td> <p><span>1</span></p> </td> </tr> <tr> <td> <p><span>Non Forest</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.86</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.82</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.99</span></p> </td> <td> <p><span>0.89</span></p> </td> <td> <p><span>1</span></p> </td> <td> <p><span>0.87</span></p> </td> </tr> <tr> <td> <p><strong><span>Overall Accuracy</span></strong></p> </td> <td> <p><strong><span>0.92</span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><strong><span>0.90</span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><strong><span>0.93</span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><strong><span>0.94</span></strong></p> </td> <td> <p><span> </span></p> </td> <td> <p><strong><span>0.93</span></strong></p> </td> <td> <p><span> </span></p> </td> </tr> </tbody> </table> <h1><strong>Files descripion</strong></h1> <ul> <li>KAT_2019.tif: 2019 land use and land cover map</li> <li>KAT_2020.tif: 2020 land use and land cover map</li> <li>KAT_2021.tif: 2021 land use and land cover map</li> <li>KAT_2022.tif: 2022 land use and land cover map</li> <li>KAT_2023.tif: 2023 land use and land cover map</li> <li>qgis_style.qml: QGIS style file</li> <li>KAT_training_samples(.shp, .shx, .dbf, .prj): training samples with class labels</li> <li>KAT_validation_samples(.shp, .shx, .dbf, .prj): validation samples with class labels</li> </ul> <p> </p>
Listagem de revistas que começaram a publicar em acesso aberto em 2019
<p>Dados coletados no Directory of Open Access Journals (DOAJ) contendo a listagem de periódicos que autodeclaram que adotaram o acesso aberto a partir de 2019. </p>
Рис. 1. Птицы, погибшие от стоΛкновений с оконными стекΛами в г. Уссурийске осенью 2019 г. Фото Δ. А. БеΛяева Fig. 1. Birds that died as a result of window collisions in Ussuriysk in the autumn of 2019. Photo by D. A. Belyaev in Deaths Resulting From Bird Window Collisions In Ussuriysk (Primorsky Krai)
Рис. 1. Птицы, погибшие от стоΛкновений с оконными стекΛами в г. Уссурийске осенью 2019 г. Фото Δ. А. БеΛяева Fig. 1. Birds that died as a result of window collisions in Ussuriysk in the autumn of 2019. Photo by D. A. Belyaev
Fig. 1 Mosquito collections 2011–2019 in Nine years of mosquito monitoring in Germany, 2011-2019, with an updated inventory of German culicid species
Fig. 1 Mosquito collections 2011–2019 (green dots—trap collections; red dots— 'Mueckenatlas' submissions; blue dots—netting, aspirating and baited collections of adults; yellow dots—dipping/sieving of immature developmental stages)
Fig. 9 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 9 Mitochondrial genomes of Ixodes (Endopalpiger) australiensis, I. (Endo.) barkeri, I. (Endo.) woyliei and I. (Exopalpiger) fecialis. Protein-coding genes are shown in green, tRNAs are in yellow, rRNAs are in red, and the two control regions are in blue. Protein-coding genes are labelled by their four-character abbreviations, tRNAs are labelled by their one-letter amino acid abbreviations, and the two control regions are labelled as CR1 and CR2. Mitochondrial genome size variation is indicated in parentheses. The arrangement of genes in these four species is identical except that the main cluster of tRNA genes has the arrangement ARNSEF in the three species of Endopalpiger [I. (Endo.) australiensis, I. (End.) barkeri and I. (End.) woyliei], whereas in the one species of Exopalpiger [I. (Exo.) fecialis] the arrangement is ARNESF. The arrangement in I. (Exo.) fecialis is the first known arrangement in an Ixodidae tick that is different from ARNSEF.Thus, ARNESF might be a synapomorphy for the subgenus Exopalpiger
Fig. 7 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 7 Ixodes barkeri Barker, 2019, scanning electron micrographs of larva. A Scutum. B Gnathosoma, dorsal view. C Gnathosoma, ventral view. D Gnathosoma, anteroventral view. E Coxae. Scale bars: A, E 0.1 mm; B–D, 0.05 mm
Fig. 1 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 1 The four known localities in Australia, Queensland (Qld), of Ixodes barkeri Barker, 2019, are indicated by white-with-red dots
Fig. 10 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 10 Maximum likelihood (ML) phylogenetic tree from entire mt genomes (14,935 bps). The sequence alignment was put though Gblocks to remove regions with alignment gaps.Tip labels indicate NCBI accession numbers and (Barker & Barker Collection reference nos.). Numbers above branches show maximum likelihood bootstrap support, whereas numbers below branches show the Bayesian posterior probability support. Ixodes pavlovskyi Pomerantzev, 1946, one of the species "Other Ixodes" (sensu Barker & Murrell, 2004), for which an entire mitochondrial (mt) genome was available in GenBank, was set as the outgroup. The scale bar indicates 0.06 nucleotide substitutions per nucleotide site for the 14,935 nucleotide sites in our alignment of theses entire mt genomes. So, for example, there were about 896 nucleotide substitutions along the branch that leads to I. (Ceratixodes) uriae plus I. (Sternalixodes) holocyclus plus I. (Exopalpiger) fecialis, which is marked with an asterisk [i.e. 0.06 nucleotide substitutions per nucleotide site × 14,935 nucleotide sites (bps) = 1896 nucleotide substitutions]. Ticks in bold were sequenced in the present study
Fig. 4 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 4 Ixodes barkeri Barker, 2019, scanning electron micrographs of female. A Idiosoma, dorsal view. B Scutum, dorsal view. C Scutum, dorsolateral view. D Idiosoma showing scutum and alloscutum with punctations and setae, dorsal centrolateral portion. E Idiosoma, ventral view. Scale bars: A, E 0.5 mm; B, C 0.2 mm; D 0.1 mm
Fig. 6 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 6 Ixodes barkeri Barker, 2019, scanning electron micrographs of nymph. A Scutum. B Spiracular plate (arrows show orientation of spiracular plate: a, anterior; d, dorsal). C Gnathosoma, dorsal view. D Gnathosoma, ventral view. E Gnathosoma, anteroventral view. F Coxae. Scale bars: A, C–F, 0.1 mm; B, 0.05 mm
Fig. 5 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 5 Ixodes barkeri Barker, 2019, scanning electron micrographs of female. A Spiracular plate (arrows show orientation of spiracular plate: a, anterior; d, dorsal). B Gnathosoma, dorsal view. C Gnathosoma, ventral view (I, palpal article 1; II, palpal article 2; ss the strongly salient part of palpal article 1). D Gnathosoma, anteroventral view. E Coxae. F Trochanter I, dorsal view. Scale bars: A, F, 0.1 mm; B–E, 0.2 mm
Fig. 8 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 8 Ixodes barkeri Barker, 2019, light microscopy image of female (Barker & Barker Collection reference #B5321), male (# B4994), nymph (#B5321) and larva (# B5321). Horizontal broken scale bars: 1 mm; vertical scale bars also in mm
Fig. 2 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 2 Ixodes barkeri Barker, 2019, scanning electron micrographs of idiosoma of male. A Dorsal view; B dorsolateral view; C ventral view. Scale bars: 0.5 mm
ScienceDex guides
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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.