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5,023 results for “landing”
Fig. 5 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 5. Tropidophora humbug sp. n.: (A–C) holotype, Tsingy Beanka, max. diameter 31.5 mm, height 16.3 mm, AMS C.474165; (D–F) paratype, heavily banded specimen, Tsingy de Bemaraha, max. diameter 30.4 mm, height 14.1 mm, NMSA L8444/T2658; (G) operculum of holotype, external surface, max. diameter 11.0 mm, AMS C.474165.
Fig. 16 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 16. Ampelita beanka sp. n., genitalia, paratype, NMSA L8504/T2983: (A) entire reproductive tract; (B) external view of penial complex; (C) penis opened longitudinally to show internal folds and raised papilla at insertion of epiphallus. Abbreviations: ag – albumen gland, bc – bursa copulatrix, bcd – bursa copulatrix duct, ep – epiphallus, ga – genital atrium, hd – hermaphrodite duct, p – penis, pf – folds lining penis lumen, pp – penis papilla, prm – penial retractor muscle, sod – spermoviduct, v – vagina, vd – vas deferens.
Fig. 2 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 2. Acroptychia bathiei Fischer-Piette & Bedoucha, 1965: (A–C) Tsingy Beanka, st'n 18/06, max. diameter 23.7 mm, NMSA L7174; (D–F) Antsingimavo, st'n 04/06, NMSA L7091: (D) typical shell, max. diameter 23.0; (E) pale yellow specimen with a less elevated spire, max. diameter 21.7 mm; (F) juvenile specimen, max. diameter 14.9 mm.
Fig. 19 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 19. Ampelita namerokoensis Fischer-Piette, 1952: (A–C) typical specimen, Tsingy Beanka, st'n 07/09, max. diameter 22.1 mm, NMSA L8445; (D) depressed specimen, Tsingy Beanka, st'n 12/06, max. diameter 23.1 mm, NMSA L8440.
Fig. 1 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 1. Geographical location of study areas: (A) map of central western Madagascar showing the broader location of the karst (tsingy) formations studied (contour at 1000 m); (B) detail of the Antsingimavo karsts; (C) detail of Tsingy Beanka, dashed line represents approximate limits of the reserve; shaded area represents forested habitat on karst hills (redrawn from Middleton 2010). Legend: * – Bokarano River Cave; # – Kimanambolo Bat Cave; @ – Kinahango Cave.
Fig. 24 in New species of land snails (Mollusca: Gastropoda) from two isolated karst formations in central western Madagascar: Tsingy Beanka and Antsingimavo, with additional notes on other regional endemics
Fig. 24. Kalidos maryannae sp. n., genitalia, paratype, NMSA L8470/T2904: (A) entire reproductive tract; (B) penis opened longitudinally to show well-developed penial verge extending from epiphallus; (C) allospermatophore from bursa copulatrix, head end missing. Abbreviations: ag – albumen gland, bc – bursa copulatrix, bcd – bursa copulatrix duct, ep – epiphallus, f – flagellum, ga – genital atrium, og – oviducal gland, p – penis, ps – penis sheath, pv – penial verge, prm – penial retractor muscle, sc – spermatophore capsule, sod – sperm-oviduct, st – spermatophore tail, v – vagina, vd – vas deferens.
Land cover classification data for the first Chinese wetland cities in 2015 and 2020
<p>Land cover classification data for the first Chinese wetland cities in 2015 and 2020</p> <p>A land cover dataset, which had a resolution of 10 m and included four wetland types and five non-wetland types.</p> <p>The first Chinese wetland cities include Yinchuan, Changde, Haikou, Harbin, Dongying and Changshu.</p>
Land cover classification and mapping of a polar desert in the Canadian Arctic Archipelago
<p>The use of remote sensing for developing land cover maps in the Arctic has grown considerably in the last two decades, especially for monitoring the effects of climate change. The main challenge is to link information extracted from satellite imagery to ground covers due to the fine-scale spatial heterogeneity of Arctic ecosystems. There is currently no commonly accepted methodological scheme for high-latitude land cover mapping, but the use of remote sensing in Arctic ecosystem mapping would benefit from a coordinated sharing of lessons learned and best practices. Here, we aimed to produce a highly accurate land cover map of the surroundings of the Canadian Forces Station Alert, a polar desert on the northeastern tip of Ellesmere Island (Nunavut, Canada) by testing different predictors and classifiers. To account for the effect of the bare soil background and water limitations that are omnipresent at these latitudes, we included as predictors soil-adjusted vegetation indices and several hydrological predictors related to waterbodies and snowbanks. We compared the results obtained from an ensemble classifier based on a majority voting algorithm to eight commonly used classifiers. The distance to the nearest snowbank and soil-adjusted indices were the top predictors allowing the discrimination of land cover classes in our study area. The overall accuracy of the classifiers ranged between 75 and 88%, with the ensemble classifier also yielding a high accuracy (85%) and producing less bias than the individual classifiers. Some challenges remained, such as shadows created by boulders and snow covered by soil material. We provide recommendations for further improving classification methodology in the High Arctic, which is important for the monitoring of Arctic ecosystems exposed to ongoing polar amplification.</p>
DEM, rock point clouds, and 3D morphological features of Martian rocks in the landing region of Zhurong rover
<p>Rocks on the Martian surface and their three-dimensional (3D) morphology record the geological evolution of Mars and its interaction history with outer space. China's Zhurong Mars rover has traveled on Mars for nearly 2 kilometers and obtained a wealth of data, enabling the fine-scale measurement and morphological analysis of 3D Martian rocks. With 178 high-resolution Zhurong NaTeCams stereo images acquired in rings covering large circular areas, we extracted 6,185 3D rocks from centimeter-scale to meter-scale distributed along the traverse of the Zhurong rover using an automatic approach. This dataset includes the digital elevation model (DEM), extracted rocks in point clouds, and the 3D morphological features of rocks derived from the Zhurong NaTeCams images, obtained in six areas along the traverse of the Zhurong rover.</p> <p>To use this dataset, please cite "Li, Y., Xiao, Z., Ma, C., Zeng, L., Zhang, W., Peng, M., & Li, A. (2023). Extraction and Analysis of Three‐dimensional Morphological Features of Centimeter‐scale Rocks in Zhurong Landing Region. <em>Journal of Geophysical Research: Planets</em>, e2022JE007656."</p>
Supplementary Material 7 including Salamandra salamandra occurrence data, topographic, geological and land cover data and node-based resistances
<p>Supplementary material for the article "Habitat connectivity supports the local abundance of fire salamanders (Salamandra salamandra) but also the spread of Batrachochytrium salamandrivorans" by Bolte <em>et al</em>. (2023) published in Landscape Ecology (DOI: 10.1007/s10980-023-01636-8)</p> <p>This folder comprises a .shp file with fire salamander occurrences, topographic and land cover data (GeoTiff) from the northern Eifel region as well as the R Code used for the statistical analysis of salamander habitat suitability and connectivity.</p>
Dataset - "Ice core evidence for a 20th century increase in surface mass balance in coastal Dronning Maud Land, East Antarctica"
<p>We provide in this dataset the isotopic and ionic records from a 120 m-long ice core drilled at the summit of Derwael ice rise (70°14'44.88'' S, 26°20'5.64'' E) situated in coastal Dronning Maud Land, East Antarctica. Ions concentrations (Na<sup>+</sup>, MSA, Cl<sup>-</sup>, SO<sub>4</sub><sup>2-</sup> and NO<sub>3</sub><sup>-</sup>) and water stable isotopes (δ<sup>18</sup>O, δD and d-excess) are presented for the top 103 meters (corresponding to 1815 and the Tambora eruption) with a continuous record for the water stable isotopes and discontinuous sections for ions concentrations. A complementary database “Annual layer thicknesses and age-depth (oldest estimate) of Derwael Ice Rise (IC12), Dronning Maud Land, East Antarctica” with age model and annual layer thickness is available at https://doi.org/10.1594/PANGAEA.857574 and the companion paper is Philippe et al., 2016 (“Ice core evidence for a 20th century increase in surface mass balance in coastal Dronning Maud Land, East Antarctica”, https://doi.org/10.5194/tc-10-2501-2016).</p>
Gap-filled Multivariate Observations of Global Land-climate Interactions
<p>The NETCDF encompasses monthly time series spans the years 1995-2020 globally at 0.5-degree resolution with gap-free estimates of nine variables, gap-filled using the CLIMFILL (CLIMate data gapFILL) framework [1,2]</p> <p>The nine variables are:</p> <p>- surface layer soil moisture from the Climate Change Initiative (CCI) of the European Space Agency (ESA),</p> <p>- land surface temperature and</p> <p>- diurnal temperature range from the Moderate Resolution Imaging Spectroradiometer (MODIS),</p> <p>- precipitation from the Global Precipitation Measurement (GPM),</p> <p>- terrestrial water storage from the Gravity Recovery and Climate Experiment (GRACE),</p> <p>- ESA-CCI burned area,</p> <p>- ESA-CCI snow cover fraction, </p> <p>- two-meter temperature and precipitation from the Climate Research Unit (CRU).</p> <p> </p> <p>Note: this dataset is only validated and tested for the use cases in the accompanying study (DOI to come). Please have caution using the data for analysis that might include trends in high latitude, in regions where the variable has high fraction of missing values, or in mountainous regions.</p> <p> </p> <p>References:</p> <p>[1] Bessenbacher, V., Seneviratne, S.I. and Gudmundsson, L. (2022): CLIMFILL v0.9: a framework for intelligently gap filling Earth observations. Geosci. Model Dev., 15, 4569–4596, 2022 <a href="https://doi.org/10.5194/gmd-15-4569-2022">https://doi.org/10.5194/gmd-15-4569-2022</a></p> <p>[2] <a href="https://github.com/climachine/climfill/releases/tag/1.0">https://github.com/climachine/climfill/releases/tag/1.0</a></p>
Fig. 2 in Land Snail Sphyradium Doliolum (Stylommatophora, Orculidae) In Ukraine And Moldova: Distribution, Habitats, Variability And Origin
Fig. 2. Centroid ordination of the shells' series from the populations of S. doliolum in Ukraine and Moldova in the space of the first three principal components: А — for РС 1 and РС2; В — for РС2 and РС3.
Fig. 3 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 3. Classification of wetland birds based on feeding guild recorded at five artificial wetlands during 2011– 2015: A — Gavase wetland; B — Dhangarmola wetland; C — Khanapur wetland; D — Erandol wetland; E — Ningudage wetland.
Fig. 3 in Land Snail Sphyradium Doliolum (Stylommatophora, Orculidae) In Ukraine And Moldova: Distribution, Habitats, Variability And Origin
Fig. 3. Ordination of all measured S. doliolum specimens from Ukraine and Moldova in the space of the first two canonical axes.
Fig. 1 in Land Snail Sphyradium Doliolum (Stylommatophora, Orculidae) In Ukraine And Moldova: Distribution, Habitats, Variability And Origin
Fig. 1. Sphyradium doliolum: A — distribution in Ukraine and Moldova (map by A. Markova); B — shells (adult and juvenile) from the Kaniv Nature Reserve (photo by K. Martynova and I. Balashov).
Fig. 1 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 1. Map of study sites: A — Gavase wetland, B — Dhangarmola wetland, C — Khanapur wetland, D — Erandol wetland, E — Ningudage wetland. Adopted from Patil & Choudaj (2022).
Fig. 4 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 4. Photographs of some of the wetland birds: a — Ruddy Shelduck Tadorna ferruginea; b — Little Ringed Plover Charadrius dubius; c — Small Pratincole Glareola lacteal; d — Painted Stork Mycteria leucocephala; e — Black-headed Ibis Threskiornis melanocephalus; f — Asian Openbill Anastomus oscitans; g — Eurasian Spoonbill Platalea leucorodia; h — Black-winged Stilt Himantopus himantopus; i — River Tern Sterna aurantia.
Fig. 2 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 2. Total number of wetland and wetland associated birds recorded at five artificial wetlands during 2011– 2015: A —Gavase wetland; B — Dhangarmola wetland; C — Khanapur wetland; D — Erandol wetland; E — Ningudage wetland.
Physico-chemical properties of the top 120 m of two ice cores in Dronning Maud Land (East Antarctica)
<p>We provide in this dataset the complete records from the top 120 m of two ice cores drilled on two adjacent ice rises (Hammarryggen and Lokeryggen, ~100 km apart) located in coastal Dronning Maud Land, Antarctica. Density, water stable isotopes (δ<sup>18</sup>O, δD and d-excess), ions concentrations (Na<sup>+</sup>, K<sup>+</sup>, Mg<sup>+</sup>, Ca<sup>+</sup>, MSA, Cl<sup>-</sup>, SO<sub>4</sub><sup>2-</sup> and NO<sub>3</sub><sup>-</sup>), and continuous electrical conductivity measurement (ECM) records, as well as age models and resulting surface mass balance (SMB) are presented here. These ice cores are dated back to the end of the eighteenth century (CE 1793 ± 3 years for FK17and 1780 ± 5 years for TIR18) by manual and automatic multivariable layer counting and volcanic tie points validation. The SMB is calculated after correction for vertical strain rates.</p> <p>A detailed description of the measurement procedures, data treatments and uncertainties can be found in: Wauthy S., Tison, J.-L., Inoue, M., El Amri, S., Sun, S., Claeys, P., and Pattyn, F.: Physico-chemical properties of the top 120 m of two ice cores in Dronning Maud Land (East Antarctica): an open window on spatial and temporal regional variability of environmental proxies, submitted to Earth System Science Data (ESSD).</p> <p>These new records can be compared to those from other coastal ice cores in DML and to regional or global model results, and represent a great opportunity for further studies addressing the mechanisms behind SMB spatial and temporal variability in East Antarctica.</p> <p>The study was funded in the framework of the Mass2Ant project, contract n° BR/165/A2 by the Belgian Science Policy BELSPO.</p>
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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.