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Fig. 10 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species
Fig. 10. Statistical parsimony network of H. kissdalmae Erőss & Petró, 2008 based on 16S rRNA. Haplotype circles A–H are proportional in size to the number of individuals with identical sequences. For comprehensive specimen information see Supp. file 1, Fig. S1. Crosslines and small circle represent non-sampled haplotypes.
Two-fold symmetric superconductivity in few-layer NbSe2
<p>Data for the following manuscript: </p> <p>Hamill, A., Heischmidt, B., Sohn, E. <em>et al.</em> Two-fold symmetric superconductivity in few-layer NbSe<sub>2</sub>. <em>Nat. Phys.</em> <strong>17, </strong>949–954 (2021). https://doi.org/10.1038/s41567-021-01219-x</p>
Figs 6-9 in Two new species of Cestoda (Cyclophyllidea: Dilepididae) from Ploceidae and Passeridae (Aves: Passeriformes) in Côte d'Ivoire
Figs 6-9. Monopylidium comoensis sp. nov. (6) Scolex. (7) Rostellar hook. (8) Mature proglottis, dorsal view (9) Terminal genitalia. Scale bars: 6, 9: 50 µm; 7: 10 µm; 8: 100 µm.
Figs 1-5 in Two new species of Cestoda (Cyclophyllidea: Dilepididae) from Ploceidae and Passeridae (Aves: Passeriformes) in Côte d'Ivoire
Figs 1-5. Spiniglans thomassankara sp. nov. (1) Scolex. (2) Rotellar hooks. (3) Mature proglottis, ventral view; (4) Terminal genitalia. (5) Egg. Scale bars: 1, 3: 100 µm; 2: 50 µm; 4, 5: 20 µm.
Improving Stability of Tear Film Lipid Layer via Concerted Action of Two Drug Molecules: A Biophysical View
<p>Surface pressure/area isotherms, stress relaxation transients, molecular dynamic simulation parameters of surface films composed of tear lipids and drug molecules.</p>
Two Source Energy Balance Model Inputs and Outputs from Drone Surveys at Majadas de Tietar in May 2021
<p><strong>MONSOON PROJECT SURVEY DATA OUTPUTS: Majadas de Tietar Tree-Grass Savanna Ecosystem 05/05/2021-20/05/2021</strong></p> <p>Here we make available high resolution (0.82 cm) energy and water flux maps from unmanned aerial system (UAS) data collected using a Micasense Altum in May 2021. We use the Two Source Energy Balance Model (via pyTSEB) and include model inputs and outputs. We use the Priestley Taylor (TSEB hereafter) and Dual Time Difference (DTD hereafter) methods in pyTSEB, the details of which can be found here pyTSEB https://pytseb.readthedocs.io/en/latest/index.html. The data collection method largely follows https://www.mdpi.com/2072-4292/13/7/1286, however a new paper detailing these surveys in Majadas is under review (as of November 2021). </p> <p>This upload includes the following gridded datasets:</p> <p><strong>Model inputs</strong></p> <p>Zipfiles are named according to their collection date (<strong>DDMMYYYY.7z</strong>). Within each zipfile are the datasets corresponding to different flight times UTC +2 (<strong>hhmm_DDMMYY</strong>). Within each survey folder are rasters with descriptive filenames using the following format:</p> <p><em>Product type_Resolution_survey area_date_flight time.tif</em></p> <p>The following prefixes denote the Product types:</p> <ul> <li>CHM_... = Canopy Height Model (m)</li> <li>GFrac2_... = Green Fraction (0-1)</li> <li>MSpec_... = Raw multispectral dataset from Altum (Blue, Green, Red, NIR, Rededge, LWIR)</li> <li>TEmpK_... = Radiometric Surface Temperature (empirical calibration, K)</li> <li>TRawK_... = Radiometric Surface Temperature (no calibration, K)</li> <li>LST2_... = Radiometric Surface Temperature (calibrated using methods outlined here https://www.mdpi.com/2072-4292/12/7/1075, K)</li> <li>Grass_... = grass vegetation mask</li> <li>Tree_... = tree vegetation mask</li> </ul> <p>We also supply the config files used to generate TSEB and DTD. To run these you will need to edit the filepaths according to your own system. </p> <p><strong>Model Outputs</strong></p> <p><strong>Majadas_TSEB_EMP_outputs.7z</strong> = Two Source Energy Balance (pyTSEB) model outputs (using the Priestley-Taylor method), using radiometric temperature datasets calibrated empirically. </p> <p><strong>Majadas_DTD_EMP_outputs.7z</strong> = TSEB Dual Time Difference model outputs (from pyTSEB) using radiometric temperature datasets calibrated empirically. </p> <p><strong>DTD_ET.7z</strong> = Evapotranspiration rasters (calculated using DTD latent heat data) in g m<sup>-2</sup> s<sup>-1</sup></p> <p><strong>File names are descriptive</strong>:</p> <p><em>Model type_radiometric temperature method_vegetation type_survey area_date_flighttime.tif</em></p> <p>Model type = DTD or TSEB</p> <ul> <li>Radiometric temperature method = always empirical calibration here</li> <li>vegetation type = grass, tree, or merge (which is both tree and grass)</li> <li>Survey area = N (north, or Nitrogen fertiliser treatment), C (central, or Control fertiliser treatment), S (south, or Nitrogen and Phosphorus fertiliser treatment)</li> <li>date = in DDMMYY format</li> <li>flight time = takeoff time for the drone (hhmm) (UTC+2)</li> </ul> <p>To find the exact local time of survey times, please see the table in flight_data3.csv</p>
Data from: Disentangling the drivers of ground-dwelling macro-arthropod metacommunity structure at two different spatial scales
<p>The goal of this study was to explore the community assembly rules at local and regional scales.</p> <p> </p> <p><strong><em>Site description </em></strong></p> <p>All sampling locations were selected within the black soil region (Fig. 1), which is predominantly located in the temperate continental monsoon climatic zone in North China. It is characterized by a dry and cold winter and warm and humid summer. The soil was classified as black soil following the Chinese Soil Classification System, which is equivalent to a Typic Hapludoll in the USDA Soil Taxonomy. More specific details for this soil (such as black soil coverage area, geographical and ecological resources, etc.) can be obtained from Wen and Liang (2001). Samples were collected from three municipal districts: Bei'an, Hulan and Dehui.</p> <p> </p> <p><strong><em>Sampling design and setup</em></strong></p> <p>We conducted field sampling of ground-dwelling macro-arthropods and measured a set of environmental and spatial variables across all sampling locations three times: in May, July and September 2015. In total, 15 plots (five plots in each of the three municipal districts) were selected and sampled. At each plot, we further selected five sampling sites (approximately 10 m away from each other).</p> <p>We collected additional samples for estimating soil abiotic parameters at each site. Soil samples (5 × 5 cm and 10 cm depth) were collected near each pitfall trap site. The exact geographic coordinates of each sampling site were obtained by GPS.</p> <p>Ground-dwelling macro-arthropods were sampled by a pitfall trapping method. For pitfall traps, we used plastic cups (7 cm in diameter and 12 cm deep), which were partially filled with saturated salt water. The traps were exposed for one week in each sampling month. All collected ground-dwelling macro-arthropods were removed from the pitfall traps, sorted and preserved in a 95% alcohol solution. All adult macroarthropods from pitfalls were identified at the species or genus level using appropriate keys (e.g., Simon (1879), Martens (1978) and Barrientos (2004) for Opiliones; Roberts (1993, 1995) for Lycosidae; and Forel and Leplat (2001) and Ortuño and Marcos (2003) for Carabidae) and then were counted. Juvenile ground-dwelling arthropods were excluded from all analyses due to difficulties with their identification (Gao et al., 2016).</p> <p> </p> <p><strong><em>Environmental and spatial variables</em></strong></p> <p>Environmental variables used in our analysis included soil organic matter, soil total nitrogen, water content, pH, temperature. Soil water content (SWC%) was measured in the laboratory after the fresh soil was loaded into an aluminium box. Prior to estimating soil total nitrogen (TN) (Kjeldahl's method described by Duchaufour (1975)), soil organic matter (SOM) (Anne's method described by Duchaufour (1975)) and pH (Pansu and Gautheyrou, 2003), the collected soil samples were air-dried at 25℃ for one week and sieved (1 mm mesh size). Local temperature values were obtained from the publicly available datasets (The Local Chronicles of Bei’an, Hulan and Dehui). Geographic coordinates were recorded for further spatial modelling analysis.</p> <p> </p> <p>We have seven data files:</p> <p>env BAHLDH may.csv</p> <p>env BAHLDH july.csv</p> <p>env BAHLDH september.csv</p> <p>sp BAHLDH may.csv</p> <p>sp BAHLDH july.csv</p> <p>sp BAHLDH september.csv</p> <p>Geospatial coordinates.csv</p> <p> </p> <p>Explanation of the variables in the datasets:</p> <p>Site: Bei’an, Hulan, Dehui represent sampling district; I-V represent sampling plot; 1-5 represent replicate</p> <p>SOM: soil organic matter</p> <p>pH: soil pH</p> <p>SWC: Soil water content</p> <p>TN: soil total nitrogen</p>
Figure 16 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 16. SEM micrographs of P2 endopod ♂. Neotachidius coreanus sp. nov. (A, C); N. parvus sp. nov. (B).
Figure 14 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 14. Neotachidius parvus sp. nov. (♂) A, antennulary segments 5–6, anterior; B, urosome, ventral (integumental pores obscured by spinules arrowed); C, urosome, lateral. N. coreanus sp. nov. (♂) D, antennulary segments 5–6, anterior (armature of segment 5 omitted; setation element with ornamentation different from N. parvus arrowed in inset); E, antennulary segment 7, anterior (modified elements arrowed; posterior setae and acrothek omitted).
Figure 13 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 13. Neotachidius parvus sp. nov. A, P2 ♀, anterior; B, P2 endopod ♂, anterior (distal outer element arrowed); C, P5 ♀, anterior; D, anal somite and right caudal ramus ♀, dorsal.
Figure 15 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 15. Neotachidius parvus sp. nov. (♂) SEM micrographs of antennule: A, segments around geniculation, anterior; B, vestigial segment 5, anterior (arrowed); C, apical segment, dorsal; D, segment 6, anterior (a = longitudinally ribbed modified element; b = multicuspidate process).
Figure 12 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 12. Neotachidius parvus sp. nov. A, segment contours of ♀ antennule; B, antenna ♀; C, P1 ♀, anterior (outer distal seta of enp-3 arrowed); D, P3 ♀, anterior (proximal part of protopod and most ornamentation omitted); E, P3 ♂, anterior (proximal part of protopod omitted).
Figure 10 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 10. Neotachidius coreanus sp. nov. A, urosome ♂, ventral; B, antennule ♂ and free margin of cephalosome, dorsal (armature of segments 1–3 and seven complete; for complete armature of other segments see C, Fig. 14D); C, antennulary segments 1–6 ♂, anterior (armature of segment three omitted). D, anal somite and left caudal ramus ♀, dorsal (accessory dorsal spinular row on caudal ramus arrowed).
Figure 11 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 11. Neotachidius parvus sp. nov. (♀) A, habitus, dorsal; B, urosome (excluding P5-bearing somite), ventral; C, P5-bearing and genital double-somite, lateral (P5 omitted).
Figure 9 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 9. Neotachidius coreanus sp. nov. (♀) A, maxilla (insets showing armature of syncoxal endites; endopod disarticulated); B, P4, anterior; C, P5-bearing and genital double-somite, lateral (P5 omitted).
Figure 5 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 5. SEM micrographs. Neotachidius coreanus sp. nov. (♀) A, rostrum, frontal; B, maxillary endopod, posterior; C, oral area (L., labrum; P., paragnath); E, endopod of maxilliped, showing vestigial setation elements. N. parvus sp. nov. (♀) D, mandibular palp (spinular row on anterior surface of endopod arrowed).
Figure 7 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 7. Neotachidius coreanus sp. nov. A, P2 ♀, anterior; B, P2 endopod ♂, anterior; C, detail of P2 enp-3 ♂, anterior; D, P5 ♀, anterior.
Figure 6 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 6. Neotachidius coreanus sp. nov. A, P1 ♀, anterior; B, maxillule ♀, anterior (endopod disarticulated); C, praecoxal arthrite of maxillule ♀, posterior; D, urosome ♂, lateral.
Figure 4 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 4. Neotachidius coreanus sp. nov. (♀) A, antennule, dorsal; B, rostrum, dorsal; C, antenna, outer lateral; D, free endopodal margin of antenna, inner lateral; E, maxilliped.
Figure 3 in Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964
Figure 3. Neotachidius coreanus sp. nov. (♀) A, habitus, lateral (arrow indicating rudimentary tergite of P1-bearing somite); B, detail of area between cephalosome and P2-bearing somite, lateral (tergite of P1-bearing somite arrowed); C, mandible, anterior; D, detail of mandibular gnathobase.
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.