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Fig. 2 in New record of a blood-feeding terrestrial leech, Haemadipsa rjukjuana Oka, 1910 (Haemadipsidae, Arhynchobdellida) on Heuksando Island and possible habitat estimation in the current and future Korean Peninsula using a Maxent model
Fig. 2. Projection of MaxEnt Haemadipsa rjukjuana distribution model from Heuksando Island and Gageodo Island to the current climate condition of South Korea. Red color (lower value) represents less suitable habitats and blue (higher value close to 1.0) represents suitable habitats for H. rjukjuana.
Fig. 1 in New record of a blood-feeding terrestrial leech, Haemadipsa rjukjuana Oka, 1910 (Haemadipsidae, Arhynchobdellida) on Heuksando Island and possible habitat estimation in the current and future Korean Peninsula using a Maxent model
Fig. 1. The map of study sites (inset) and the Korean Peninsula. Haemadipsa rjukjuana was identified from the regions shaded in gray.
Fig. 1 in Morphological reports of four ciliates (Ciliophora) from coastal marine and brackish water habitats in Korea
Fig. 1. Photomicrographs of four ciliates on the basis of live observation (A, C, E, H) and after protargol impregnation (B, D, F, G, I). A, B, Gruberia calkinsi, left side view of a living specimen (A) and right side view of a protargolimpregnated specimen (B); C, D, Dysteria crassipes, left side views of living (C) and protargolimpregnated (D) specimens; EG, Zosterodasys agamaliev, ventral view of a living specimen (E), and ventral (F) and dorsal (G) views of potargolimpregnated specimens; H, I, Pleuronema salmastra, ventral views of living (H) and protargolimpregnated (I) specimens. Scale bars: A = 500 μm, B = 300 μm, C, D = 30 μm, E, H = 50 μm.
FIGURE 6 in First Records for Cyclosomus inustus Andrewes (Coleoptera: Carabidae: Cyclosomini) for Taiwan, with Notes on Habitat and Behavior
FIGURE 6. Other carabid species active on coastal sand in northern Taiwan. A. Bembidion fusiforme Netolitzky. B. Mastax brittoni Quentin. C. Abroscelis anchoralis anchoralis (Chevrolat). D. Abroscelis anchoralis punctatissima (Schaum). E. Calomera angulata (Fabricius), F. Lophyra cancellata subtilesculpta (W. Horn). G. Cicindela batesi Fleutiaux. H. Cylindera kaleea angulimaculata (Mandl).
FIGURE 4 in First Records for Cyclosomus inustus Andrewes (Coleoptera: Carabidae: Cyclosomini) for Taiwan, with Notes on Habitat and Behavior
FIGURE 4. Distribution of habitats of Cyclosomus inustus Andrewes in Taiwan. A, Shihmen. B, Danshui. C, Kinshan. Areas outlined in yellow indicate the areas of the stabilized dunes where the beetles have been found (see also Fig. 3)..
Fig. 7. Laophontella horrida dentata Mielke, 1992 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 7. Laophontella horrida dentata Mielke, 1992, SEM photographs, adult male, lateral view; A, anterior part of cephalothorax and first segment of antennula; B, apical setae on first leg endopod; C, sixth leg and last two exopodal segments of fourth swimming leg; D, caudal ramus; E, detail of armature and ornamentation of proximal part of caudal ramus; F, detail of principal caudal seta.
Fig. 4. Laophontodes norvegicus George, 2018, male 1 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 4. Laophontodes norvegicus George, 2018, male 1, ventral view; A, CLM photograph; B-H, SEM photographs; A, habitus; B, habitus; C, antennula; D, detail of armature and ornamentation of proximal part of antennula; E, detail of armature and ornamentation of central part of antennula; F, detail of armature and ornamentation of distal part of antennula; G, labrum and mouth appendages; H, first swimming leg.
Fig. 5. Laophontodes norvegicus George, 2018, male 1 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 5. Laophontodes norvegicus George, 2018, male 1, ventral view, SEM photographs; A, distal part of maxilliped and basis of first swimming leg; B, third exopodal segment of second swimming leg; C, tubular pore on second exopodal segment of second swimming leg; D, distal frill of fourth urosomite; E, caudal ramus; F, detail of ornamentation of proximal part of caudal ramus; G, lateral setae on caudal ramus; H, distal part of caudal ramus.
Fig. 3. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 3. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989; A-D, SEM photographs; E-H, CLM photographs; A, B, male 1, lateral view; C, D, male 2, ventral view; E-H, female 4, dissected and mounted on microscope slides, anterior view: A, habitus; B, anal somite and caudal rami; C, habitus; D, distal part of antennula; E, first swimming leg; F, second swimming leg; G, third swimming leg; H, fourth swimming leg.
Fig. 2. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 2. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989, SEM photographs; A-C, female 2, dorsal view; D-G, female 3, ventral view; H, male 1, lateral view: A, habitus; B, anterior part of cephalothorax with rostrum and first segment of antennula; C, anal somite and caudal rami; D, habitus; E, anal somite and caudal rami; F, endopod and first two exopodal segment of second swimming leg; G, distal part of third exopodal segment of fourth swimming leg; H, distal part of antennula.
Fig. 1. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 1. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989, SEM photographs, female 1, lateral view: A, habitus; B, cephalothoracic shield; C, tergites of free prosomites; D, genital somite with proximal part of fifth leg; E, distal part of fifth leg; F, anal somite and caudal ramus; G, second endopodal segment of first swimming leg; H, exopod of antenna.
Figs 131–138. Living specimens and habitats. 131 in Revision of the genus Callipia Guenée, 1858 (Lepidoptera, Geometridae), with the description of 15 new taxa
Figs 131–138. Living specimens and habitats. 131. Callipia rosetta Thierry-Mieg, 1904, ♂, Ecuador, Loja province, Podocarpus National Park, Cajanuma, 2897 m, 26 Mar. 2011. The specimen was attracted to light and benumbed. 132. Elfin forests are a habitat of C. rosetta Thierry-Mieg, 1904 and C. walterfriedlii sp. nov., Ecuador, Loja province, Podocarpus National Park, Cajanuma, 3000 m, 30 Jan. 2013. 133. C. walterfriedlii sp. nov., ♀, Ecuador, Loja province, Podocarpus National Park, Cerro Toledo, 2938 m, 27. Feb. 2013. The specimen was attracted to light and benumbed. 134. Habitat (elfin forest) of C. walterfriedlii sp. nov. at Cerro Toledo. 135. C. augustae sp. nov., ♂, Peru, Cusco province, Wayqecha station, 2900 m, 26 Aug. 2016. The specimen was collected at night, trapped, photographed and released the next morning. 136. Habitat of C. augustae sp. nov. and Callipia sp. near Wayqecha station. 137. C. augustae sp. nov., ♂, Peru, Cusco province, road Wayqecha–Pillcopata, 2284 m, 23 Aug. 2016. The specimen was attracted to UV light and tried to take up fluid (see proboscis). 138. Callipia sp. at Wayqecha station, 4 Sep. 2016. This specimen was attracted to UV light, but escaped into the vegetation when disturbed.
R replication code and data for: Do modern hunter-gatherers live in marginal habitats?
<p>Data and R replication code for testing the Marginal Habitat Hypothesis. The R code files contain all models and are organized by the figures they generate for the associated paper.</p> <p>The data are sourced from:</p> <p>1) the Standard Cross Cultural Sample (SCCS).</p> <p>2) NASA Moderate Resolution Imaging Spectroradiometer (MODIS) NPP data (MOD17A3 algorithm) from Numerical Terra Dynamic Simulation Group at the University of Montana.</p> <p>3) Marine Ecoregions Of the World (MEOW): <a href="http://maps.tnc.org/files/metadata/MEOW.xml">http://maps.tnc.org/files/metadata/MEOW.xml</a></p> <p>4) Terrestrial Ecoregions Of the World (TEOW): <a href="http://maps.tnc.org/files/metadata/TerrEcos.xml">http://maps.tnc.org/files/metadata/TerrEcos.xml</a></p>
Data for "Sounding out Ecoacoustic Metrics: Avian species richness is predicted by acoustic indices in temperate but not tropical habitats"
<p>This deposit contains the data for the paper <strong>A Multi-habitat, Comparative Evaluation of Ecoacoustic Indices for Biodiversity Monitoring: Acoustic Indices Predict Avian Species Richness in Temperate but not Tropical Habitats. (Ecological Indicators) </strong>The dataset contains a series of 1 min wav files recorded across UK and Ecuadorian habitats. Each one has 26 acoustic indices calculated on it, and a full list of avian species and abundances and GPS data for each sample site.</p> <p>Abstract</p> <p>Affordable, autonomous recording devices facilitate large scale acoustic monitoring and Rapid Acoustic Survey is emerging as a cost-effective approach to ecological monitoring; the success of the approach rests on the development of computational methods by which biodiversity metrics can be automatically derived from remotely collected audio data. Dozens of indices have been proposed to date, but systematic validation against classical, in situ diversity measures. This study conducted the most comprehensive comparative evaluation to date of the relationship between avian species diversity and a suite of acoustic indices across a wide range of ecological conditions. Acoustic surveys were carried out across habitat gradients in temperate and tropical biomes. Baseline avian species richness and subjective multi-taxa biophonic density estimates were established through aural counting by expert ornithologists. 26 acoustic indices were calculated and compared to observed variations in species diversity. Five acoustic diversity indices (Bioacoustic Index, Acoustic Diversity Index, Acoustic Evenness Index, Acoustic Entropy, and the Normalised Difference Sound Index) were assessed as well as three simple acoustic descriptors (root-mean-square, spectral centroid and zero-crossing rate). Highly significant correlations, of up to 65%, between acoustic indices and avian species richness were observed across temperate habitats, supporting the use of automated acoustic indices in biodiversity monitoring where a single vocal taxon dominates. Significant, weaker correlations were observed in neotropical habitats which host multiple non-avian vocalizing species. Multivariate classification analyses suggest that AIs also track observed differences in habitat-dependent community composition and that each habitat has a distinct soundscape. Multivariate analyses of the relative predictive power of AIs show that compound indices are more powerful predictors of avian species richness than any single index and simple descriptors contribute to predicting avian diversity in multi-taxa tropical environments. Our results support the use of community level acoustic indices as a proxy for species richness and point to the potential for tracking of habitat-dependent changes in community composition. Recommendations for the design of compound indices for multi-taxa community composition appraisal are put forward, with consideration for the requirements of next generation, low power remote monitoring networks.</p> <p> </p> <p><strong>Sampling Methods (extract from paper)</strong></p> <p>Acoustic surveys were carried out along a gradient of habitat degradation (1 forested, 2 regenerating forest and 3 agricultural land) in South East (SE) England and North Western (NW) Ecuador. The six sites (UK1, UK2, UK3, EC1, EC2, EC3) were sampled consecutively from May 6th - Aug 25th 2015.</p> <p>All UK sites were in the county of Sussex, in SE England, an area of weald clays (Fig. 2, left) and included ancient woodland (UK1), regenerating farmland with patches of woodland (UK2) and a downland barley farm (UK3).1 min mono audio recordings made every 15 minutes at three different habitats in the UK</p> <p>Ten day acoustic surveys were carried out consecutively at each study site using 15 Wildlife Acoustics Song Meter audio field recorders. Sampling points were arranged in a grid at a minimum distance of 200 m to minimise pseudo replication (the sound of most species being attenuated over this distance in all biomes). Altitudinal range of sample points across sites was minimised in order to prevent introduction of extraneous, confounding gradients (UK varied between 10 m – 50 m and Ecuador 130 m – 390 m). Recording schedules captured 1 min every 15 min around the clock for 10 days at each site, resulting in 960 recordings at each of 15 sample points for 3 habitat types in 2 different climates (86,400 1 minute recordings in total). Data across the 15 sample points was pooled; inter-site variation was not explored in the current analyses. In the UK 3½ hours of each dawn chorus was sampled starting at 1 hour before sunrise. This range was determined to capture the onset, progression and peak of the dawn chorus, creating a temporal gradient. The equatorial dawn chorus is more compact and was sampled for 2¼ hours starting 15 mins before sunrise, capturing a comparable chorus onset and peak.</p> <p> </p> <p> </p>
"LARVAL FISH HABITATS AND DEOXYGENATION IN THE NORTHERN LIMIT OF THE OXYGEN MINIMUM ZONE OFF MEXICO"
<p>Dataset associated with the submitted publication - "LARVAL FISH HABITATS AND DEOXYGENATION IN THE NORTHERN LIMIT OF THE OXYGEN MINIMUM ZONE OFF MEXICO"</p> <p>Created: 10/10/2019 by Victor M. Godínez (CICESE). Ver. 1.0</p> <p>Authors: Laura Sánchez-Velasco, Victor M. Godínez, Erick D. Ruvalcaba-Aroche, Amaru Márquez-Artavia, Emilio Beier, Eric D. Barton and S. Patricia A. Jiménez-Rosenberg.<br> Project_info: This data base has been obtained during the project funded by the financial support of SEP-CONACyT (contracts 2014-236864, L. Sanchez-Velasco) and Fronteras de la Ciencia-CONACyT (contracts 2015-2-280, L. Sanchez-Velasco).<br> License: The authors appreciate that users of these data: 1) Contact Laura Sánchez-Velasco (lsvelasc@gmail.com) to follow the uses of the data, and 2) Include the requested acknowledgment (cite using the DOI of this dataset) in any presentations or publications.</p> <p>Variables:<br> five structures for the four surveys (Survey_Feb2010, Survey_Apr2012, Survey_Jun2015, Survey_Mar2016, Survey_Oct2017) with the following variables:<br> Name Units<br> ___________ ________<br> 'Latitude' 'degrees'<br> 'Longitude' 'degrees'<br> 'XX' 'Distance (km)'<br> 'YY' 'Distance (m)'<br> 'Pressure' 'decibars'<br> 'Temperature' 'conservative temperature (oC)' <br> 'Salinity' 'Absolute Salinity (g/Kg)'<br> 'Oxigen' 'dissolved oxygen (mL/L)'<br> 'Fluorescence' '(mg/m^3)'<br> 'xlar' 'Distance (km)' <br> 'ylar' 'Distance (m)'<br> 'Bb' 'Bregmaceros bathymaster (Larvae/10m^2)'<br> 'Bp' 'Benthosema panamense (Larvae/10m^2)'<br> 'Dl' 'Diogenichthys laternatus (Larvae/10m^2)'<br> 'Asp' 'Auxis spp (Larvae/10m^2)'</p> <p><br> One structures for the oldest data with the following variables:<br> Name Units<br> ___________ ________<br> 'Latitude' 'degrees'<br> 'Longitude' 'degrees'<br> 'Time' 'absolute julian day'<br> 'Pressure' 'decibars'<br> 'Temperature' 'conservative temperature (oC)' <br> 'Salinity' 'Absolute Salinity (g/Kg)'<br> 'Oxigen' 'dissolved oxygen (mL/L)</p>
Figure 2 in Residential green ZOnes as additiOnal habitats FOr mammals in a mOuntainOus area arOund Beijing, China
Figure 2. Mean counts of detected trace records, mammal species, specialist species, and generalist species in disturbed near-community (grey) and non-disturbed off-community (black) area between July and August 2019 in the mountainous suburb area around Beijing. Significant differences (p <0.05) are denoted by *. The bars represent standard error.
Figure 1 in Residential green ZOnes as additiOnal habitats FOr mammals in a mOuntainOus area arOund Beijing, China
Figure 1. Map of investigation locations within the suburb area surrounding Beijing between July and August 2019; (A) geographical location of the study area in China is shown in the sketch at the top left. The star represents the capital city of China, Beijing, and the grey shadow is the study area. Filled dots represent disturbed plots near human communities (≤1500 m), and blank dots are non-disturbed plots distant from human communities (>1500 m). 115 near-communities and 114 off-community plots were investigated. The elevation gradient change from high to low is represented by red-green colorbar; (B) a sample of the near-community plots; (C) a sample of the off-community plots; (D) a footprint of wild boar (Sus scrofa) was detected in a cornfield of (B); (E) faeces of leopard cat (Prionailurus bengalensis) were detected in a deciduous forest of (C).
Figure 2 in Carbon primary sources and estuarine habitat use by two congeneric ariid catfishes in a subtropical coastal lagoon
Figure 2. Carbon isotope ratios (d13C) and total length (TL, mm) of individuals of Genidens genidens (closed circles) and Genidens barbus (open circles) collected in the interface between the estuarine and freshwater zones of Patos Lagoon in present study. DISCUSSION According to the model of the life cycle suggested by ARAúJO (1988), G. barbus move between freshwater to the estuary during their first year of life. After reaching sexual maturity, adults migrate to the ocean, returning to freshwater to spawn. Our work with stable isotopes corroborates the general movement pattern proposed in this model by providing evidence that the primary producers at the estuary are an important source of carbon for juveniles of G. barbus during the initial phase of their development. There is no current model describing the life cycle of G. genidens at the Patos Lagoon. ARAúJO (1988) mentioned that this species remains in the upper limit of the estuarine zone or in the limnetic portion of the lagoon and that its juveniles are occasionally found in the estuary. Based on fish sampling restricted to the mixohaline zone of the Patos Lagoon, some authors classified this species as estuarine resident (CHAO et al. 1985, ARAúJO 1988). However, VIEIRA et al. (2010) demonstrated that G. genidens occurs from the estuary to the uppermost northern portion of the lagoon, which is located ~180 km from the lagoon's connection with the sea, and can remain year round at freshwater. Our work provides new evidence that this catfish species derives energy from the estuarine and freshwater zones of
Fig. 4 in Characterization of artificial larval habitats of Anopheles darlingi (Diptera: Culicidae) in the Brazilian Central Amazon
Fig. 4. Monthly variation of malaria cases in relation to rainfall in 2011 and 2012 in the dry and rainy season in Manaus.
Fig. 3 in Characterization of artificial larval habitats of Anopheles darlingi (Diptera: Culicidae) in the Brazilian Central Amazon
Fig. 3. Ordering diagram of the canonical correlation analysis (CCA) between environmental factors "limnological parameters" and larval habitat type with Anopheles species: At (Anopheles triannulatus); Aa (Anopheles albitarsis s.l.); Ad (Anopheles darlingi); An (Anopheles nuneztovari); Ao (Anopheles oswaldoi); Ap (Anopheles peryassui); Ab (Anopheles braziliensis); An2 (Anopheles nimbus); Ad2 (Anopheles deaneorum); Ae (Anopheles evansae); DO (dissolved oxygen); NO3 (nitrate); pH (hydrogenionic potential); Temp (temperature); Cond (electrical conductivity); P (phosphorus); TSS (total suspended solids).
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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.