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Annual Water Quality in Everglades National Park, Florida Bay, West Florida Shelf, and Florida Keys National Marine Sanctuary, Florida, USA: 1994-2019
Annual (water year basis) geometric mean concentrations of total phosphorus (TP), soluble-reactive phosphorus (SRP), total nitrogen (TN), dissolved inorganic nitrogen (DIN; calculated as nitrate + nitrite + ammonia), chlorophyll-a (Chl-a), and total organic carbon (TOC) concentrations across Everglades National Park (ENP), Florida Keys National Marine Sanctuary (FKNMS), West Florida Shelf and Florida Bay. This dataset is composed of data from multiple sources including Florida Coastal Everglades, Florida International University Southeast Research Center (FIU SERC), South Florida Water Management District (SFWMD), and National Oceanic and Atmospheric Administration Atlantic Oceanographic and Meteorological Laboratory (NOAA AOML). All values reported less than the laboratory minimum detection limit (MDL) were set to one-half the MDL. Annual geometric mean concentrations were computed for monitoring locations with greater than five years of data and four samples per year with a minimum of one sample in the wet and dry seasons. This dataset was created to evaluate long-term spatial and temporal trends in nutrients, chlorophyll-a, and total organic carbon at the landscape scale relative to freshwater and marine ecosystems.
Shipboard Conductivity–Temperature–Depth (CTD) and dissolved oxygen profile data collected during hypoxia surveys along six hydrographic sampling lines within Olympic Coast National Marine Sanctuary, 2004–2015
<p>This data set includes Conductivity-Temperature-Depth (CTD) and dissolved oxygen profile data that were collected along Washington State’s outer coast within Olympic Coast National Marine Sanctuary (OCNMS). Measurements were made along six cross-shelf hydrographic sampling lines during a series of hypoxia survey cruises from 2004 – 2015. The 398 CTD profiles were acquired using Sea-Bird Scientific 19 SeaCAT or 19plus SeaCAT CTD profilers with associated SBE-43 (Sea-Bird Electronics) or Beckman or YSI-type (Yellow Springs Instruments) dissolved oxygen sensors. The data were processed via Sea-Bird Scientific’s SBE Data Processing application using six of the modules in the following order: Data Conversion, Filter, Align CTD, Loop Edit, Derive, and Bin Average. These processing steps and associated methods are the same as those used to process CTD data collected during OCNMS mooring maintenance cruises (<a href="https://www.sciencedirect.com/science/article/pii/S2352340924001422">Risien et al., 2024</a>) and along the Newport Hydrographic Line (<a href="https://www.sciencedirect.com/science/article/pii/S2352340922001342">Risien et al., 2022</a>) located off the central Oregon coast.</p> <table> <tbody> <tr> <td><strong>Station Name </strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Water Depth (m, MLLW)</strong></td> </tr> <tr> <td><strong>Cape Alava (CA)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CA010</td> <td>48.1661oN</td> <td>124.7540oW</td> <td>10</td> </tr> <tr> <td>CA020</td> <td>48.1661oN</td> <td>124.7598oW</td> <td>20</td> </tr> <tr> <td>CA030</td> <td>48.1659oN</td> <td>124.7783oW</td> <td>30</td> </tr> <tr> <td>CA040</td> <td>48.1659oN</td> <td>124.7852oW</td> <td>40</td> </tr> <tr> <td>CA045</td> <td>48.1659oN</td> <td>124.8335oW</td> <td>45</td> </tr> <tr> <td>CA050</td> <td>48.1658oN</td> <td>124.8578oW</td> <td>50</td> </tr> <tr> <td>CA060</td> <td>48.1659oN</td> <td>124.8843oW</td> <td>60</td> </tr> <tr> <td>CA070</td> <td>48.1655oN</td> <td>124.9011oW</td> <td>70</td> </tr> <tr> <td>CA080</td> <td>48.1657oN</td> <td>124.9141oW</td> <td>80</td> </tr> <tr> <td>CA090</td> <td>48.1659oN</td> <td>124.9247oW</td> <td>90</td> </tr> <tr> <td>CA100</td> <td>48.1658oN</td> <td>124.9319oW</td> <td>100</td> </tr> <tr> <td><strong>Teahwhit Head (TH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>TH030</td> <td>47.8759oN</td> <td>124.6481oW</td> <td>30</td> </tr> <tr> <td>TH035</td> <td>47.8761oN</td> <td>124.7024oW</td> <td>35</td> </tr> <tr> <td>TH040</td> <td>47.8760oN</td> <td>124.7281oW</td> <td>40</td> </tr> <tr> <td>TH050</td> <td>47.8761oN</td> <td>124.7567oW</td> <td>50</td> </tr> <tr> <td>TH060</td> <td>47.8765oN</td> <td>124.7822oW</td> <td>60</td> </tr> <tr> <td>TH070</td> <td>47.8765oN</td> <td>124.8084oW</td> <td>70</td> </tr> <tr> <td>TH080</td> <td>47.8768oN</td> <td>124.8415oW</td> <td>80</td> </tr> <tr> <td>TH090</td> <td>47.8769oN</td> <td>124.8868oW</td> <td>90</td> </tr> <tr> <td>TH100</td> <td>47.8769oN</td> <td>124.9182oW</td> <td>100</td> </tr> <tr> <td><strong>Hoh Head (HH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>HH025</td> <td>47.7688oN</td> <td>124.5605oW</td> <td>25</td> </tr> <tr> <td>HH042</td> <td>47.7688oN</td> <td>124.6428oW</td> <td>42</td> </tr> <tr> <td>HH065</td> <td>47.7688oN</td> <td>124.7401oW</td> <td>65</td> </tr> <tr> <td><strong>Raft River (RR)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>RR015</td> <td>47.4632oN</td> <td>124.3748oW</td> <td>15</td> </tr> <tr> <td>RR020</td> <td>47.4644oN</td> <td>124.4510oW</td> <td>20</td> </tr> <tr> <td>RR042</td> <td>47.4632oN</td> <td>124.5199oW</td> <td>42</td> </tr> <tr> <td>RR065</td> <td>47.4629oN</td> <td>124.6074oW</td> <td>65</td> </tr> <tr> <td><strong>Cape Elizabeth (CE)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CE010</td> <td>47.3541oN</td> <td>124.3347oW</td> <td>10</td> </tr> <tr> <td>CE020</td> <td>47.354oN</td> <td>124.3608oW</td> <td>20</td> </tr> <tr> <td>CE030</td> <td>47.3538oN</td> <td>124.3913oW</td> <td>30</td> </tr> <tr> <td>CE040</td> <td>47.3534oN</td> <td>124.4678oW</td> <td>40</td> </tr> <tr> <td>CE050</td> <td>47.3532oN</td> <td>124.5064oW</td> <td>50</td> </tr> <tr> <td>CE060</td> <td>47.3529oN</td> <td>124.5510oW</td> <td>60</td> </tr> <tr> <td>CE070</td> <td>47.3528oN</td> <td>124.5823oW</td> <td>70</td> </tr> <tr> <td>CE080</td> <td>47.3527oN</td> <td>124.6158oW</td> <td>80</td> </tr> <tr> <td>CE090</td> <td>47.3526oN</td> <td>124.6491oW</td> <td>90</td> </tr> <tr> <td>CE100</td> <td>47.3522oN</td> <td>124.6754oW</td> <td>100</td> </tr> <tr> <td><strong>Moclips (MO)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>MO010</td> <td>47.2214oN</td> <td>124.2394oW</td> <td>10</td> </tr> <tr> <td>MO015</td> <td>47.2214oN</td> <td>124.2599oW</td> <td>15</td> </tr> <tr> <td>MO020</td> <td>47.2214oN</td> <td>124.2791oW</td> <td>20</td> </tr> <tr> <td>MO030</td> <td>47.2195oN</td> <td>124.3347oW</td> <td>30</td> </tr> <tr> <td>MO042</td> <td>47.2195oN</td> <td>124.3958oW</td> <td>42</td> </tr> </tbody> </table>
Conductivity–Temperature–Depth (CTD) and dissolved oxygen profile data from shipboard surveys collected within Olympic Coast National Marine Sanctuary, 2005-2023
<p>This data set includes Conductivity-Temperature-Depth (CTD) and dissolved oxygen profile data that were collected along Washington State’s outer coast within Olympic Coast National Marine Sanctuary towards the northernmost extent of the California Current System. Measurements were made at fourteen hydrographic stations during mooring deployment, recovery, and maintenance cruises between the months of May and October from 2005–2023. The 792 CTD profiles were acquired using Sea-Bird Scientific 19 SeaCAT or 19plus SeaCAT CTD profilers with associated SBE-43 (Sea-Bird Electronics) or Beckman or YSI-type (Yellow Springs Instruments) dissolved oxygen sensors. The data were processed via Sea-Bird Scientific’s SBE Data Processing application using six of the modules in the following order: <em>Data Conversion, Filter, Align CTD, Loop Edit, Derive, and Bin Average</em>. These processing steps and associated methods are the same as those used to process CTD data that make up the <a href="../records/5814071">Newport Hydrographic Line time series</a> located off the central Oregon coast thus allowing for a direct comparison between the two regions.</p> <table> <tbody> <tr> <td><strong>Station Name </strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Water Depth (m, MLLW)</strong></td> </tr> <tr> <td><strong>Makah Bay (MB)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>MB015</td> <td>48.3254oN</td> <td>124.6768oW</td> <td>15</td> </tr> <tr> <td>MB042</td> <td>48.3240oN</td> <td>124.7354oW</td> <td>42</td> </tr> <tr> <td><strong>Cape Alava (CA)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CA015</td> <td>48.1663oN</td> <td>124.7568oW</td> <td>15</td> </tr> <tr> <td>CA042</td> <td>48.1660oN</td> <td>124.8234oW</td> <td>42</td> </tr> <tr> <td>CA065 </td> <td>48.1659oN</td> <td>124.8949oW</td> <td>65</td> </tr> <tr> <td><strong>Teahwhit Head (TH)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>TH015</td> <td>47.8761oN</td> <td>124.6195oW</td> <td>15</td> </tr> <tr> <td>TH042</td> <td>47.8762oN</td> <td>124.7334oW</td> <td>42</td> </tr> <tr> <td>TH065 </td> <td>47.8767oN</td> <td>124.7967oW</td> <td>65</td> </tr> <tr> <td><strong>Kalaloch (KL)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>KL015</td> <td>47.6008oN</td> <td>124.4284oW</td> <td>15</td> </tr> <tr> <td>KL027</td> <td>47.5946oN</td> <td>124.4971oW</td> <td>27</td> </tr> <tr> <td>KL050 </td> <td>47.5933oN</td> <td>124.6112oW</td> <td>50</td> </tr> <tr> <td><strong>Cape Elizabeth (CE)</strong></td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>CE015</td> <td>47.3568oN</td> <td>124.3481oW</td> <td>15</td> </tr> <tr> <td>CE042</td> <td>47.3531oN</td> <td>124.4887oW</td> <td>42</td> </tr> <tr> <td>CE065 </td> <td> 47.3528oN</td> <td>124.5669oW</td> <td>65</td> </tr> </tbody> </table>
FIGURE 2. a in A new species of Gegeneophis Peters (Amphibia: Gymnophiona: Caeciliidae) from the surroundings of Mookambika Wildlife Sanctuary, Karnataka, India
FIGURE 2. a. Dorsolateral view of the head, b. Ventral view of the head, c. Ventral view of the body terminus (photographs of the holotype of Gegeneophis madhavai in life).
Fig. 5 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 5. Mean Relative Abundance Indice (± SEM) for 12 most frequently encountered mammal species in PPWS at camera trap locations closer (black bars) and further (open bars) than 11-km from nearest village. RM red muntjac; EWP Eurasian wild pig; B banteng; E Asian elephant; LIC large Indian civet; EAP east Asian porcupine; L leopard; CPC common palm civet; D dhole; LC leopard cat; G gaur; and PTM pig-tailed macaque.
Fig. 4 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 4. Mean Relative Abundance Indices (± SEM) for 12 most frequently encountered mammal species in PPWS at camera trap locations in DDF (black bars) and SEGF (open bars). RM red muntjac; EWP Eurasian wild pig; B banteng; E Asian elephant; LIC large Indian civet; EAP east Asian porcupine; L leopard; CPC common palm civet; D dhole; LC leopard cat; G gaur; and PTM pig-tailed macaque.
Fig.6 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig.6. Activity patterns, % of all encounters within each hour, of red muntjacs and Eurasian wild pigs from camera-traps in PPWS.
Fig. 2 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 2. Increase in species richness (species recorded) with total cumulative number of camera trap nights within Phnom Prich Wildlife Sanctuary (Dec 08–Aug 09).
Figure 1. Onchidium typhae Buchannan, 1800 in New Distributional Records of Onchidiid Slugs from Coringa Wildlife Sanctuary, Andhra Pradesh
Figure 1. Onchidium typhae Buchannan, 1800; a) crawling animal in the mud, b) animal in the lab showing the long tentacles, c) the hyponotum and foot. Platevindex tigrinus (Stoliczka, 1869); d) animal on the trunk of the large Avicennia plant, e) animal in lab showing the papillae on the notum, f) hyponotum and foot.
Eastern bettong (Bettongia gaimardi) reintroduced to Mulligan's Flat Woodland Sanctuary and Tidbinbilla Nature Reserve: DArT SNPs + individual information
<p>Incorporating genetic data into conservation programmes improves management outcomes, but the impact of different sample-grouping methods on genetic diversity analyses is poorly understood. To this end, the multi-source reintroduction of the eastern bettong (<em>Bettongia gaimardi</em>) was used as a long-term case study to investigate how sampling regimes may affect common genetic metrics, and hence management decisions. The dataset comprised 5307 SNPs sequenced across 263 individuals. Samples included 45 founders from five genetically distinct Tasmanian source regions, and 218 of their descendants captured during annual monitoring at Mulligan's Flat Woodland Sanctuary (MFWS; 121 samples across eight generations), and Tidbinbilla Nature Reserve (TNR; 97 samples across nine generations). The most management-informative sampling regime was found to be generational cohorts, providing detailed long-term trends in genetic diversity. When these generation-specific trends were not investigated, recent changes in population genetics were masked, and it became apparent that management recommendations would be less appropriate. The results also illuminated the importance of considering establishment and persistence as separate phases of a multi-source reintroduction. The establishment phase (useful for informing early adaptive management) should consist of no less than two generations, and continue until admixture is achieved (admixture defined here as >80% of individuals possessing >60% of source genotypes, with no one source composing >70% of >20% individuals' genotype) is achieved. This ensures that the persistence phase analyses of population trends remain minimally biased. Based on this case study, we recommend that emphasis be given to the value of generationally specific analyses, and that conservation programmes collect DNA samples throughout the establishment and persistence phases, and avoid collecting genetic samples only when analysis is imminent. We also recommend that population genetic analyses for multi-source reintroductions consider whether admixture has been achieved when calculating descriptive genetic metrics. </p>
Storytelling and its influence on the tourist promotion of the national sanctuary of Huayllay, Pasco Region-2021
<p><strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay</p> <p><strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test).</p> <p><strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations.</p> <p><strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level.</p> <p><strong>Background:</strong> The objective of the study article was to determine the influence of Storytelling in the tourist promotion of the National Sanctuary of Huayllay</p> <p><strong>Methods:</strong> For which a quantitative approach study was used, pre-experimental design with a single control group, the study population consisted of 19 visitors to which (Pre test-post test).</p> <p><strong>Results:</strong> The information collected was processed through the statistical program spss, and then the Eta analysis was performed to determine the degree of influence between the variables of study. The result obtained was 0.677/0.795, which indicates that storytelling does influence the tourism promotion of the place. The importance of the study consists in the investigation of a new commercial communication tool known as storytelling, which appeals to the emotional factor, and which already represents a successful model in different countries of the world, since it has reached an extraordinary importance in the decision-making process of potential tourists and has turned out to be an excellent alternative for the promotion of tourist destinations.</p> <p><strong>Conclusion:</strong> The study was able to demonstrate that Storytelling can be used as a tool for tourism promotion not only at the level of the locality of the area of the study site, but also at the national level.</p>
Fig. 1. The 80 in Importance of Srepok Wildlife Sanctuary, Cambodia, for the endangered green peafowl: implications of co-occurrence near human use areas
Fig. 1. The 80-point count listening post locations within the core and outer core area of Srepok Wildlife Sanctuary.
Figure 5 in A new species of Andean lizard Proctoporus (Squamata: Gymnophthalmidae) from montane forest of the Historic Sanctuary of Machu Picchu, Peru
Figure 5. Type locality of Proctoporus machupicchu: (A, C) Montane forest, (B) Urubamba River, (D) Habitat of Proctoporus machupicchu. Photo: (6 A–C) Luis Mamani; 6 D (Javier Farfan).
Figure 3 in A new species of Andean lizard Proctoporus (Squamata: Gymnophthalmidae) from montane forest of the Historic Sanctuary of Machu Picchu, Peru
Figure 3. Dorsal and ventral views of living specimens of Proctoporus machupicchu. A–B adult female (MHNC 13362); C–D adult female (MHNC 13513); and E–F inmature male (MHNC 13373); and G not collected of immature male showing femoral pores.
Figure 4 in A new species of Andean lizard Proctoporus (Squamata: Gymnophthalmidae) from montane forest of the Historic Sanctuary of Machu Picchu, Peru
Figure 4. Map showing the distribution of Proctoporus species known from southeast of Peru, based on species listed in Appendix I and in Uzzell (1970), Doan and Castoe (2003), Doan et al. (2005), Chavez et al. (2011), and Goicoechea et al. (2013). Green circle, Proctoporus machupicchu sp. nov.; blue triangle, P. bolivianus; blue square, P. carabaya; red square, P. chasqui; blue circle, P. iridescens; blue pentagon, P. kiziriani; red circle, P. lacertus; red triangle, P. unsaacae; and red pentagon P. sucullucu.
Fig. 2 in A new species of Andean lizard Proctoporus (Squamata: Gymnophthalmidae) from montane forest of the Historic Sanctuary of Machu Picchu, Peru
Fig. 2. (A, B, C) Head of the holotype of Proctoporus machupicchu (MHNC 13362), lateral, dorsal, and ventral view; and (D, E, F) Paratype (MHNC 13373) lateral, dorsal. and ventral view of the head. Scale bar 5 mm.
Figs 59–62 in On a collection of jumping spiders (Araneae: Salticidae) from the Shendurney Wildlife Sanctuary, India
Figs 59–62. Phintella accentifera (Simon, 1901). 59–60. ♂ (KUDZ 2022.VI.20a), left male palp. 59. Ventral view. 60. Retrolateral view. 61. ♀ (KUDZ 2022.VI.20b), epigyne, ventral view. 62. ♀ (KUDZ 2022.VI.20b), vulva, dorsal view. Scale bars: 59– 60 = 0.35 mm; 61–62 = 0.1 mm.
Figs 46–51. 46–47 in On a collection of jumping spiders (Araneae: Salticidae) from the Shendurney Wildlife Sanctuary, India
Figs 46–51. 46–47. Phintella accentifera, (Simon, 1901), ♂ (KUDZ 2022.VI.20a). 48–49. Phintella accentifera (Simon, 1901), ♀ (KUDZ 2022.VI.20b). 50–51. Vailimia jharbari Basumatary, Caleb & Das, 2020, ♀ (KUDZ 2022.VI.21). 46–47. Habitus. 46. Dorsal view. 47. Ventral view. 48–51. Habitus. 48, 50. Dorsal view. 49, 51. Ventral view. Scale bars = 0.7 mm.
Figs 36–42 in On a collection of jumping spiders (Araneae: Salticidae) from the Shendurney Wildlife Sanctuary, India
Figs 36–42. Irura shendurney sp. nov., holotype, ♂ (KUDZ 2022.VI.20). 36–38. Habitus. 36. Dorsal view. 37. Ventral view. 38. Front view. 39. Bulb and embolus, ventral view. 40–42. Left palp. 40. Ventral view. 41. Retrolateral view. 42. Dorsal view. Scale bars: 36–37 = 1 mm; 38 = 0.8 mm; 40–42 = 0.5 mm. Note: The bulb has rotated clockwise from its original place. Red arrow indicates the retro-dorsal extension on the palpal tibia.
Figs 52–58. 52–53 in On a collection of jumping spiders (Araneae: Salticidae) from the Shendurney Wildlife Sanctuary, India
Figs 52–58. 52–53. Phintella accentifera (Simon, 1901), ♂ (KUDZ 2022.VI.20a). 54–56. Phintella accentifera (Simon, 1901), ♀ (KUDZ 2022.VI.20b). 57–58. Vailimia jharbari Basumatary, Caleb & Das, 2020. 52–53. Left palp. 52. Ventral view. 53. Retrolateral view. 54–55, 57. Epigyne, ventral view. 56, 58. Vulva, dorsal view. Scale bars: 52–53 = 0.35 mm; 54–58 = 0.2 mm.
ScienceDex guides
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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.