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Figure 3 in Medium- and large-sized mammal composition in the Chapada dos Veadeiros National Park and adjacent areas, state of Goiás, Brazil
Figure 3. Rarefaction curves of the number of mammalian species recorded in the Chapada dos Veadeiros National Park and its surroundings during the dry and rainy seasons, state of Goiás, central Brazil.
Figure 2 in Medium- and large-sized mammal composition in the Chapada dos Veadeiros National Park and adjacent areas, state of Goiás, Brazil
Figure 2. Medium and large-sized mammals recorded in the Chapada dos Veadeiros National Park and surroundings, Goiás, Brazil. (A) Ozotoceros bezoarticus; (B) Tapirus terrestris; (C) Panthera onca; (D) Chrysocyon brachyurus; (E) Myrmecophaga tridactyla; and (F) Mazama gouazoubira.
Figure 1 in Medium- and large-sized mammal composition in the Chapada dos Veadeiros National Park and adjacent areas, state of Goiás, Brazil
Figure 1. Distribution of camera-traps in the sampled area of Chapada dos Veadeiros National Park (delimited polygon) and its surroundings (10 km from the park boundaries), separated by at least 1 km, in the Cerrado of central Brazil. inserted within the Cerrado biome (coordinates of 13°51' to 14°10'S and 47°25' to 47°42'W). The CVNP is considered the largest area of environmental conservation and the most important ecotourism attraction in the region (Barbosa, 2008). The Cerrado region is located in mid-latitudes and presents the main seasonal climatic type (Aw), with annual temperature between 24°C and 26°C and 90% of rainfall concentrated from October to April, while in the dry season (May to September), the air humidity is very low (below 20% in August and September) and the amount of rainfall can reach zero millimeters in a few months (Marcuzzo et al., 2012). In the region of CVNP, there is a predominance of soils poor in nutrients, which ends up preventing the larger plant colonization, whichever the grasslands of the Cerrado Sensu Strictu (Eiten, 1972; Felfili et al., 2007). In total, the CVNP presents 77% of savanna formation, and 9% corresponds to the forest fragments (Porto et al., 2011). On the other hand, the surrounding of the park has the largest sum of private reserves (Private Reserves of Natural Heritage – RPPN) of the State of Goiás, are 21 RPPNs with 21,515.87 ha (30% of CVNP area) and these are hold a higher percentage of forest cover (Falconi & Diniz-Filho, 2003; Silva et al., 2016). 80% of the RPPNs area, located in the Alto Paraiso region, are protected near the areas sampled in this study (Silva et al., 2016).
Fig. 4 in Association Between The Scallop, Pedum Spondyloideum, (Bivalvia: Pteriomorphia: Pectinidae) And Scleractinian Corals From The Wakatobi Marine National Park (Southeastern Sulawesi, Indonesia)
Fig. 4. The number of Pedum spondyloideum occuring in Porites lobata and Por. lutea.
FIGURE 4 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 4: Changes of oribatid mite (a) abundance and (b) species number along altitudinal gradient in MNP.
FIGURE 2 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 2: Oribatid mite species richness based on species accumulation curves and rarefaction methods for samples taken from rhododendron canopy microhabitats at seven elevations of MNP.
FIGURE 1 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 1: Cluster of faunal similarities of oribatid species from rododendron canopy and forest floor. Explanations of abbreviations are given in table 1.
FIGURE 4 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 4: (Prostigmata): a – Mexecheles virginiensis; b – Under site of pedipalpus of M. virginiensis; c – Ereynetes propescutulis; d – Frontal part of E. propescutulis; e – Aethiophenax ipidarius; f – Leg I of A. ipidarius.
FIGURE 2 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 2: (cohort Astigmata): a – Nanacarus sp.; b – "Eyes" of Nanacarus sp.; c – Frontal view of Bonomoia pini; d – Dorsal side of B. pini; e – Ventral side of B. pini; f – Boletoglyphus boletophagi.
FIGURE 3 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 3: (Oribatida): a – Siculobata leontonycha; b – A claw of tarsus I of S. leontonycha; c – Diapterobates humeralis; d – Frontal part of D. humeralis; e – Carabodes labyrinthicus; f – Ceratoppia bipilis.
FIGURE 1 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 1: (Mesostigmata): a – Insectolaelaps quadrisetus; b – Proctolaelaps fiseri; c – Trichouropoda polytricha; d – T. polytricha specimens on ventral abdomen of I. typographus; e – Uroobovella vinicolora; f – U.vinicolora specimen attached on elytra of I. typographus.
GEDI and ALS LiDAR data for the Upper Austrian national park "Kalkalpen"
<p>This dataset contains GEDI L1B,L2B,L2A data for the Upper Austrian national park "Kalkalpen".<br> Also included are the obtained ALS return pulses for the Kalkalpen.</p> <p>The GEDI waveforms are averaged to 1m vertical height layers. Afterwards, the mean noise level stored in GEDI L1B dataset is subtracted from each waveform</p> <p>The ALS pulses are collocated to the GEDI waveforms (x/y-shift = +- 10m).</p>
Aligned DNA sequence matrix for phylogenetic analyses in the article "A new species of spiny-backed tree frog, genus Osteocephalus (Anura: Hylidae), from the Yanachaga Chemillén National Park in central Peru"
<p>Aligned DNA sequence matrix for phylogenetic analyses of the article "Systematics of Huicundomantis, a new subgenus of Pristimantis (Anura, Strabomantidae) with extraordinary cryptic diversity and eleven new species"</p> <p>The matrix is in NEXUS format and has 14791 bp and 38 terminals.</p> <p>Partitions are as follows:</p> <p>charset 12S_16S = 1-2442;<br> charset mtGenome_other_genes = 2443-9180; charset nonCoding = 3132- 3138 4776- 4857 5203- 5214;<br> charset codonPos1 = 2443-3130\3 3139-4774\3 4858-5200\3 5215-9178\3;<br> charset codonPos2 = 2444-3131\3 3140-4775\3 4859-5201\3 5216-9179\3;<br> charset codonPos3 = 2445-3129\3 3141-4773\3 4860-5202\3 5217-9180\3;<br> charset 16S_ND1nonCoding = 9181- 9428 10390- 10506 ;<br> charset 16S_ND1codonPos1 = 9429-10389\3;<br> charset 16S_ND1codonPos2 = 9430-10387\3;<br> charset 16S_ND1codonPos3 = 9431-10388\3;<br> charset POMCcodonPos1 = 10507-11068\3;<br> charset POMCcodonPos2 = 10508-11066\3;<br> charset POMCcodonPos3 = 10509-11067\3;<br> charset CO1codonPos1 = 11069-12608\3;<br> charset CO1codonPos2 = 11070-12609\3;<br> charset CO1codonPos3 = 11071-12610\3;<br> charset CytbcodonPos1 = 12611-13757\3;<br> charset CytbcodonPos2 = 12612-13758\3;<br> charset CytbcodonPos3 = 12613-13759\3;<br> charset ND2codonPos1 = 13760-14789\3;<br> charset ND2codonPos2 = 13761-14790\3;<br> charset ND2codonPos3 = 13762-14791\3;</p>
Microhabitat data of bryophyte occurrences in and near Sequoia National Park at varying elevations
<p>On the western slope of California's Sierra Nevada, bryophytes were studied from the foothills (summers dry; winters mild) to the alpine zone (summers short; winters with snow cover). Plots of 25 m<sup>2</sup> were chosen from 380 to 3,578 meters above sea level. Within each of the 253 plots, bryophyte species and their abundance were recorded along with microsite wetness, shadiness, incline, and the type of substrate. Data was used to assess changes in species richness and abundance across elevations and microhabitat characteristics. </p>
Residents perspectives on human-wildlife conflict management to build community resilience in Chitwan National Park, Nepal
<ol> <li>Human-wildlife conflict can significantly impact economic, social, and ecological systems critical to promoting sustainable development. Effectively managing conflicts between people and wildlife that share a common landscape requires the implementation of effective management strategies that aim to reduce the impacts of HWC and promote coexistence as preferred by the community. However, many studies have often overlooked social aspects, especially the residents' perceptions of HWC management, that can help build community resilience.</li> <li>Residents and wildlife share a common landscape in the Chitwan National Park in Nepal. Competition for resources grows as the human-modified landscape provides a new form of habitat for wildlife. We used Importance-Performance Analysis (IPA) to capture the residents' (n=506) perspectives on the importance of HWC management strategies and their performance by park management to prioritize strategies that could help build community resilience.</li> <li>We found notable mean performance-importance gaps for the eight HWC management strategies, representing the park management's inability to meet the desired need of farmers and non-farmers. The IPA matrix grid shows the three strategies - skill, livelihood, and compensation - that need immediate attention from park management as they fall under high-priority strategies in quadrant II. The two-way ANOVA results revealed that the residents' perspectives on importance and performance in all management sectors differ.</li> <li>We conclusively recommend developing site-and context-specific HWC management plans that consider the affected community's livelihood needs, which are essential for increasing the operational effectiveness of HWC management. Park management should prioritize strategies in sectors more vulnerable to HWCs to secure community support for long-term conservation goals.</li> <li>This study will be a key reference for identifying context-specific management strategies that incorporate community resilience in the management of human-wildlife conflict. This could inform HWC management policy and conservation planning to achieve coexistence that benefits both people and wildlife, particularly in low-income countries with similar socio-ecological settings. Overall, our findings provide a new perspective on human-wildlife conflict management that policymakers, researchers, and protected area managers around the world can use to build community resilience to facilitate coexistence.</li> </ol>
Human wildlife conflict in Shuklaphanta National Park
<p>Human-wildlife interactions occur when humans and wildlife coexist and share common resources including food or shelter. Increasing wildlife populations within protected areas can also increase interactions with humans living adjacent to these areas, resulting in conflicts including human casualty, livestock depredation, crop damage, and property loss. We collected the data between 28 September 2021 to 8 January 2022. We analyzed six years of human-wildlife conflict data from 2016–2021 in the buffer zone of Shuklaphanta National Park and conducted a questionnaire survey to investigate factors influencing human-wildlife conflicts. The analyses were done using descriptive statistics and generalized linear modeling. People were attacked primarily by wild boar (<em>Sus</em> <em>scrofa</em>). Mostly, the livestock were killed by leopard (<em>Panthera</em> <em>pardus</em>), and among these most were sheep or goats killed near ShNP during summer. Crops were most frequently damaged by Asian elephants (<em>Elephas</em> <em>maximus</em>), followed by wild boar. The greatest economic losses were from damage to rice, followed by sugarcane and wheat. Asian elephant was the only reported species to cause structural damage to property (e.g., homes). The majority of respondents considered that the mitigation techniques that are currently in practice are effective to reduce conflicts. However, the effectiveness of the mitigation techniques is species-specific, and we recommend the use of more efficacious deterrents (e.g., electric fencing) for large herbivores and mesh wire fencing partially buried in the ground. Effective collaboration among different tiers of government, non-governmental organizations, civil societies, and affected communities is important to share the best practices and continue to apply innovative methods for impactful mitigation of human-wildlife conflicts in the region. The dataset contains this information for 300 households around Shuklaphanta National Park region.</p>
Population dynamics and social organization of sambar (Rusa unicolor unicolor) in Horton Plains National Park, Sri Lanka
<p>We estimated the population density and investigated the social organization of sambar (<em>Rusa unicolor unicolor</em>) in Horton Plains National Park (HPNP), Sri Lanka. Distance sampling was conducted along six strip transects every month for a period over three years (2018–2020) to estimate the density of the sambar population in grasslands of HPNP (9.4 km<sup>2</sup>), while the antler stage of males and the behaviour of individuals were recorded to describe the population's reproductive stage and hence the social organization. Population density estimates showed relative stability over the three years and varied over the seasons but with consistent peaks from year to year with the highest population densities recorded in November-December (212.93 ± 25.38 animals/km<sup>2</sup> in 2018, 187.91 ± 28.51 in 2019, and 179.76 ± 31.85 in 2020). The highest percentage of males in hard antlers was observed from November through January, while the percentage of antlers cast sambar peaked from March to April each year. Hinds were observed with newborn calves throughout the year, but the highest number of newborn calves were recorded from July to August each year, while the number of calves counted each year varied from 210–267 individuals. The mean group size was variable throughout each year with the largest groups recorded from September to December (up to 52), the period accompanied by the most observations of mating and sparring behaviour. Although on a tropical island, HPNP is situated on a rolling plateau landscape in the highlands, where sambar showed a degree of reproductive seasonality somewhat similar to temperate cervid species.</p>
Data, research code, and metadata related to the Soils of the Upper Part of Itatiaia National Park (INP) for Pedology, Hyperspectral Soil Mapping, and Spectral studies
<p>Data, research code (in R language), and metadata related to the Soils of the Upper Part of Itatiaia National Park (INP) for Hyperspectral Soil Mapping</p> <p>Up to this point, this data, and code were used in the Doctoral thesis of Elias Mendes Costa and Yuri Andrei Gelsleichter, and the following publications.</p> <p>------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Dados, código de pesquisa (em linguagem R) e metadados relacionados aos Solos e ao Mapeamento da Parte Superior do Parque Nacional de Itatiaia (PNI) para o Mapeamento Hiperespectral de Solos</p> <p>Até este momento, esses dados, e códigos foram utilizados nas teses de doutorado de Elias Mendes Costa e de Yuri Andrei Gelsleichter e nas seguintes publicações.</p> <p> </p> <p>Gelsleichter, Y. A., Costa, E. M., dos Anjos, L. H. C., & Marcondes, R. A. T. (2023). Enhancing soil mapping with hyperspectral subsurface images generated from soil lab vis-SWIR spectra tested in southern Brazil. Geoderma Regional, e00641.<br> doi: https://doi.org/10.1016/j.geodrs.2023.e00641<br> link: https://www.sciencedirect.com/science/article/pii/S2352009423000378</p> <p>Costa, E. M., Pinheiro, H. S. K., Anjos, L. H. C. dos, Marcondes, R. A. T., & Gelsleichter, Y. A. (2020). Mapping soil properties in a poorly-accessible area. Revista Brasileira de Ciência Do Solo, 44.<br> doi: https://doi.org/10.36783/18069657rbcs20190107<br> link: https://www.rbcsjournal.org/article/mapping-soil-properties-in-a-poorly-accessible-area/<br> <br> Costa, E. M., dos Anjos, L. H. C., Pinheiro, H. S. K., Gelsleichter, Y. A., & Marcondes, R. A. T. (2020). Spatial Bayesian belief networks: A participatory approach for mapping environmental vulnerability at the Itatiaia National Park, Brazil. Environmental Earth Sciences, 79, 1–13.<br> doi: https://doi.org/10.1007/s12665-020-09099-9<br> link: https://link.springer.com/article/10.1007/s12665-020-09099-9#citeas</p> <p>The code is arranged to deliver the outputs in their respective folders.</p>
Fig. 2 in The Odonate fauna of Val Grande National Park (Insecta: Odonata)
Fig. 2 – Frequency of records of odonates in VGNP.
Buffalo close association matrices: Kruger National Park, South Africa
<div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Many infectious pathogens are shared through social interactions, and examining host connectivity has offered valuable insights for understanding patterns of pathogen transmission across wildlife species. African buffalo are social ungulates and i</span><span class="NormalTextRun SCXW115066823 BCX0">mportant reservoirs of </span><span class="ContextualSpellingAndGrammarError SCXW115066823 BCX0">directly-transmitted</span><span class="NormalTextRun SCXW115066823 BCX0"> pathogens that impact numerous wildlife and livestock species. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Here, we analyzed African buffalo social networks to quantify variation in close contacts, examined drivers of contact heterogeneity, and investigat</span><span class="NormalTextRun SCXW115066823 BCX0">ed how the observed contact patterns affect pathogen invasion likelihoods for a wild social ungulate. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">We collected continuous association data using proximity collars and sampled host traits approximately every two months during a 15-month study period in</span><span class="NormalTextRun SCXW115066823 BCX0"> Kruger National Park, South Africa. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Although the observed herd was well connected, with most individuals contacting each other during each bimonthly interval, our analyses revealed striking heterogeneity in close-contact associations among herd members. </span><span class="NormalTextRun SCXW115066823 BCX0">Network analysis showed that individual connectivity was stable over time and that individual age, sex, reproductive status, and pairwise genetic relatedness were important predictors of buffalo connectivity. Calves were the most connected members of the h</span><span class="NormalTextRun SCXW115066823 BCX0">erd, and adult males were the least connected. These findings highlight the role susceptible calves may play in the transmission of pathogens within the herd. We also demonstrate that, at time scales relevant to infectious pathogens found in nature, the ob</span><span class="NormalTextRun SCXW115066823 BCX0">served level of connectivity affects pathogen invasion likelihoods for a wide range of infectious periods and </span><span class="SpellingError SCXW115066823 BCX0">transmissibilities</span><span class="NormalTextRun SCXW115066823 BCX0">. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Ultimately, our study identifies key predictors of social connectivity in a social ungulate and illustrates how contact heter</span><span class="NormalTextRun SCXW115066823 BCX0">ogeneity, even within a highly connected herd, can shape pathogen invasion likelihoods. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div>
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.