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1,250 results for “Nature reserves”
Extracted trails from airborne laser scanning in the Oostvaardersplassen nature reserve
<p>Ungulates and other mammalian herbivores can create trails in dense vegetation by trampling and browsing. This can affect vegetation structure and results in the fragmentation of closed, high vegetation, with subsequent impacts on biodiversity. Manually mapping trails in the field or from aerial photographs can be challenging and time consuming, especially in inaccessible or difficult to access habitats such as wetlands and if trails occur beneath the canopy. Airborne laser scanning provides an alternative method because it penetrates vegetation canopies and efficiently obtains highly accurate data in the form of dense 3D point clouds. This repository consists of the extracted trails in wetland area of the Oostvaardersplassen nature reserve in the Netherlands using 3D airborne point cloud data (AHN4) and the manually created 50 plots of ground truth in two regions, i.e. grazed only by red deer and grazed by both red deer and geese. </p>
Mangrove Crab Sampling Data in Dongzhaigang National Nature Reserve, Haikou, Hainan Province, China
<p>This dataset contains the results of a study on mangrove crabs conducted in four seasons (Summer, SU; Autumn, AU; Winter, WI; Spring, SP) of 2020 and 2021. The samples were collected in the Dongzhaigang National Nature Reserve, Haikou, Hainan Province, China, at five sites: Sanjiang (SJ), Tashi (TS), Shanweitou (SWT), Luodou (LD), and Puqian (PQ). The primary focus is on crab species belonging to the superfamilies Ocypodoidea (ghost crabs), Grapsoidea (square crabs), and Portunoidea (swimming crabs).</p> <p>Sampling was conducted using net trapping, with three replicate plots set up for each habitat type at each site. Each plot was sampled continuously for three days. Vegetation information was recorded using dominant species as representatives, and water environmental information was collected using a WTW instrument. The parameters measured include total dissolved solids (TDS) (mg/L), dissolved oxygen (DO) (mg/L), salinity (SAL) (‰), water temperature (T) (℃), and pH. Finally, the longitude and latitude in the WGS84 coordinate system and Cartesian coordinates for each plot were recorded.</p> <p>The dataset fields are as follows:</p> <ul> <li>date: Date of sampling</li> <li>year: Year of sampling</li> <li>month: Month of sampling</li> <li>day: Day of sampling</li> <li>site: Sampling location, including TS, SJ, SWT, LD, PQ</li> <li>habitat: Habitat type, including tidal channels, tidal flats, and several vegetation types represented by mangrove trees such as Avicennia marina, Rhizophora stylosa, Bruguiera sexangular, Sonneratia apetala, and Ceriops tagal.</li> <li>plotname: Plot name</li> <li>species: Species name, as per the World Register of Marine Species (<a href="https://www.marinespecies.org/">https://www.marinespecies.org</a>)</li> <li>superfamily: Superfamily, as per the World Register of Marine Species (<a href="https://www.marinespecies.org/">https://www.marinespecies.org</a>)</li> <li>season: Season, including Summer (SU), Autumn (AU), Winter (WI), and Spring (SP)</li> <li>cname: Plot division by season, site, and habitat</li> <li>fullname: Plot division by season, site, habitat, and plot sequence number</li> <li>pname: Plot division by site, habitat, and plot sequence number</li> <li>TDS: Water total dissolved solids (mg/L)</li> <li>pH: Water pH</li> <li>DO: Water dissolved oxygen (mg/L)</li> <li>T: Water temperature (℃)</li> <li>SAL: Water salinity (‰)</li> <li>longitude: Longitude in WGS84 coordinate system</li> <li>latitude: Latitude in WGS84 coordinate system</li> <li>x: Cartesian coordinate x</li> <li>y: Cartesian coordinate y</li> </ul> <p>We thank Chengpu Jiang, Liangjun Wei and other colleagues for their assistance during the field samplings. Thanks also for the experimental conditions and sampling support provided by Hainan Dongzhaigang National Nature Reserve Authority.</p>
Figure 81. Crassignatha yinzhi from Xiao Hei Shan Nature Reserve, male palp. A in The symphytognathoid spiders of the Gaoligongshan, Yunnan, China (Araneae: Araneoidea): Systematics and diversity of micro-orbweavers
Figure 81. Crassignatha yinzhi from Xiao Hei Shan Nature Reserve, male palp. A, prolateral; B, retrolateral. CB: cymbium; CT: cymbial tooth; E: embolus; EM: embolic membrane; MA: median apophysis; T: tegulum.
Figure 80. Crassignatha yinzhi from Xiao Hei Shan Nature Reserve. A in The symphytognathoid spiders of the Gaoligongshan, Yunnan, China (Araneae: Araneoidea): Systematics and diversity of micro-orbweavers
Figure 80. Crassignatha yinzhi from Xiao Hei Shan Nature Reserve. A, male, lateral; B, female, lateral; C, female, dorsal; D, female, ventral; E, male leg II, prolateral.
Fig. 4 in New species and new records of black fungus gnats (Diptera: Sciaridae) from the Viidumäe Nature Reserve, Estonia
Fig. 4. Sciara bryophila sp. nov., paratype from Estonia, Viidumäe (MZH), hypopygium, ventral view. Scale bar = 300 µm.
Fig. 2 in New species and new records of black fungus gnats (Diptera: Sciaridae) from the Viidumäe Nature Reserve, Estonia
Fig. 2. Cratyna (Diversicratyna) palustricola sp. nov. A. Hypopygium (holotype, MZH), ventral view. B. Gonostyli (paratype, MZH), ventral view. Scale bars: A = 130 µm; B = 40 µm.
Tree crowns of the north-west corner of the permanent sample area in the Kaluzhskiye Zaseki Nature Reserve
<p>The studies were conducted in the Kaluga Zaseki Nature Reserve on a permanent sample plot (PSP) established in an old-growth broadleaved forest. The stand on the PSP has a complex structure, consisting of several tiers. There are 6 species of broad-leaved trees in the stand: oak (Quercus robur), ash (Fraxinus excelsior), elm (Ulmus glabra), sharp-leaved maple (Acer platanoides), field maple (A. campestre), linden (Tilia cordata) and 2 small-leaved trees - birch (Betula spp.) and aspen (Populus tremula). The oldest oak trees are about 300 years old. The size of the PPP is 440 × 200 m, this work was done on a 40 × 40 m plot located in the northwest corner of the PSP. For tree detection, orthophotomaps were used based on aerial photography materials taken with a DJI Phantom IV Pro quadcopter. Photogrammetric processing was carried out in Agisoft Metashape software (version 1.6.1.10009).</p> <p>The data set contains two fragments of multi-season orthophotos in tif format and corresponding files in shp., dbh. and shx. formats, which contain information on crown boundaries and species of marked trees.</p>
Figure 8 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)
Figure 8 – Vegetation map of Maputo Special Reserve adapted from De Boer (2000). Collecting sites are numbered as they appear in the Materials & Methods. 'Woodland' sensu De Boer was separated by the researchers into 'Closed' and 'Grassy' woodland.
Figure 3 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)
Figure 3 – Afrogegenes letterstedti ♀ pre-vaginal plate, the diagnostic shallow indentation indicated by a black arrow (see De Jong & Coutsis, 2017 for a full explanation)
Figure 1 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)
Figure 1 – Some of the major habitat types encountered in the MSR: sand thicket (A), sand forest (B), hygrophilous grassland (C), dune grassland-dune forest ecotone (D)
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>
Fig. 2 in Findings Of Entomopathogenic Nematodes (Rhabditida, Steinernematidae) In Nature Reserves In Ukraine
Fig. 2. Consensus sequence alignment of the ITS rDNA region (including partial fragments of the 18S and 28S rDNA genes) of Steinernema isolates.
Fig. 1 in Findings Of Entomopathogenic Nematodes (Rhabditida, Steinernematidae) In Nature Reserves In Ukraine
Fig. 1. Map of Ukraine with marked areas of soil sampling: 1 — Dniprovsko-Orilsky Nature Reserve; 2 — Ukrainian Steppe Nature Reserve, "Kamyani Mohyly"; 3 — Kazantip Nature Reserve; 4 — Karadag Nature Reserve; 5 — Crimean Nature Reserve; 6 — Chornomorsky Biosphere Reserve, Ivano-Rybalchansky District; 7 — Nature Reserve "Yelanetsky steppe".
Data and code for article "Nature reserve customized method of photo and video camera traps materials processing using two-stage neural network approach"
<p><strong>DESCRIPTION</strong> 📓</p> <p>"data" folder directory contains the datasets for classification and detection. </p> <ol> <li>The detection dataset has <strong>YOLOv5 format</strong> and contains three classes <strong>[tigers, leopards, empty]</strong>. The class empty is about <strong>10%</strong> of the total data. The leopard and tiger classes contain <strong>3500</strong> images each. The entire amount of data for the detection task is <strong>7600</strong> images.</li> <li>The classification dataset contains two classes <strong>[tigers, leopards]</strong>. Images for classification are cropped images from the detection task using bounding boxes. Each class has <strong>3500</strong> images</li> </ol> <p> </p> <p>The "weights" folder contains pretrained models for classification and detection tasks. </p> <ul> <li>The detector weights were pre-trained on <strong>231k</strong> images from camera traps located throughout Russia.</li> <li>The classifier weights were pre-trained on <strong>416k</strong> images that were cropped with <strong>bounding boxes</strong> from photographs for the detection task. Some of the images for the classification task were taken from the <strong>Internet</strong>. The classifiers were trained for <strong>29 classes</strong>.</li> <li>You can also find folder <strong>tigers_vs_leopards</strong> in both the detection and classification directory, where there are weights that have been trained on a part of the camera trap images available at the link below.</li> </ul> <p><em>Classification weights</em></p> <ol> <li>EfficientNetv2-M</li> <li><strong>ResNeSt-101e</strong> (🚀 RECOMMENDED)</li> <li>ResNet-101d</li> <li>ReXnet-100</li> <li>SeResNet-152d</li> </ol> <p><em>Detection weights</em></p> <ol> <li>YOLOR-W6-1280</li> <li>YOLOX-X-640</li> <li>YOLOv5-X-640</li> <li>YOLOv5-X-1280</li> <li>YOLOv5-M6-1280</li> <li><strong>YOLOv5-L6-1280</strong> (🚀 RECOMMENDED)</li> </ol> <p>Read README.md file for more details</p>
Рис. 11. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в заказнике «Муравьевский» в Амурской обΛасти, май 2010 г. Фото М. Н. Кочерга Fig. 11. A Oriental White Stork chick thrown out of the nest in the Muravyevsky Nature Reserve in the Amur Region, May 2010. Photo by M. N. Kocherga in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 11. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в заказнике «Муравьевский» в Амурской обΛасти, май 2010 г. Фото М. Н. Кочерга Fig. 11. A Oriental White Stork chick thrown out of the nest in the Muravyevsky Nature Reserve in the Amur Region, May 2010. Photo by M. N. Kocherga
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold. in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold.
Fig. 1 in Notes on the fauna of beetles (Insecta, Coleoptera) adjacent to the territory of the Mordovia State Nature Reserve
Fig. 1. Location map of the Mordovia State Nature Reserve Рис. 1. Карта распоΛожения МорÃовского госуÃарственного прироÃного заповеÃника
Fig. 4 in A new species of dwarf day gecko (Reptilia: Gekkonidae: Cnemaspis) from lower-elevations of Samanala Nature Reserve in Central massif, Sri Lanka
Fig. 4. Cnemaspis anslemi sp. nov. male holotype (NMSL.2019.14.01) in life in-situ. (A) Dorsal view of the full body displaying the typical color pattern and a straight black middorsal dash over midpoint of neck, (B) Ventral aspect showing gular and femoral colorations, (C) lateral view showing labial coloration and zigzag pattern, (D) dorsal view of the full body of female paratype (NMSL.2019.14.02) in life in-situ from Udamaliboda, Samanala Nature Reserve, Sri Lanka. Photos: Kanishka Ukuwela and Suranjan Karunarathna.
Fig. 5 in A new species of dwarf day gecko (Reptilia: Gekkonidae: Cnemaspis) from lower-elevations of Samanala Nature Reserve in Central massif, Sri Lanka
Fig. 5. General habitat of Cnemaspis anslemi sp. nov. at Udamaliboda, Samanala Nature Reserve, Kegalle District, Sri Lanka. (A) Complete view of the forest hill, (B) shady forest with thick leaf litter, (C) hundred years old house made using clay and bricks, also with wattle and daub, (D) communal egg laying site on a clay wall. Photos: Madhava Botejue and Suranjan Karunarathna.
Fig. 3 in A new species of dwarf day gecko (Reptilia: Gekkonidae: Cnemaspis) from lower-elevations of Samanala Nature Reserve in Central massif, Sri Lanka
Fig. 3. Dorsal and ventral aspects of the type series of Cnemaspis anslemi sp. nov. (A) Male holotype, NMSL.2019.14.01, (B) female paratype, NMSL.2019.14.02, and (C) female paratype, NMSL.2019.14.03 from Udamaliboda, Samanala Nature Reserve, Sri Lanka. Photos: Suranjan Karunarathna.
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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)
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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
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