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Fig. 5 in A new minute species of Pristimantis (Amphibia: Anura: Craugastoridae) with a large head from the Yanachaga-Chemillén National Park in central Peru, with comments on the phylogenetic diversity of Pristimantis occurring in the Cordillera Yanachaga
Fig. 5. Pristimantis boucephalus sp. nov., holotype (MUSM 31102). A. Dorsal view of head. B. Lateral view of head. C. Ventral view of hand. D. Ventral view of foot. Drawings by J. Moravec.
Fig. 3 in A new minute species of Pristimantis (Amphibia: Anura: Craugastoridae) with a large head from the Yanachaga-Chemillén National Park in central Peru, with comments on the phylogenetic diversity of Pristimantis occurring in the Cordillera Yanachaga
Fig. 3. Live holotype (MUSM 31102, SVL 14.1 mm) of Pristimantis boucephalus sp. nov. A. Dorsal view. B. Dorsolateral view. C. Ventral view. Photos by E. Lehr.
Video S1. Two Ocean Pass South of Yellowstone National Park, Wyoming
<p><strong>Video S1.</strong> <strong>Two Ocean Pass South of Yellowstone National Park, Wyoming.</strong> Two Ocean Pass connects the headwaters of the Atlantic and Pacific drainages in the Bridger-Teton Wilderness of Wyoming south of Yellowstone National Park. Here, a broad alpine meadow straddles the Continental Divide at 2,478 m elevation, and headwaters of the Columbia and Missouri drainages originate from a single perennial stream; North Two Ocean Creek flows along the Continental Divide and branches into Pacific Creek, a Snake River tributary flowing to the west, and Atlantic Creek, a Yellowstone River tributary flowing to the east. The pass is a nearly level meadow near the center of which is a marsh that becomes a small lake in times of wet weather or snowmelt runoff. No barrier prevents the movement and mixing of fish between Pacific Creek and Atlantic Creek. Following glacial recession from the region about 14,000 years ago, ancestral Yellowstone cutthroat trout colonized the Yellowstone River drainage from sources in the lower Snake River drainage over Two Ocean Pass. They dispersed downstream and were the only trout inhabiting Yellowstone Lake for thousands of years prior to the establishment of Yellowstone National Park. The watershed of the Yellowstone River upstream of Yellowstone Lake, including Two Ocean Pass, is among the most remote in the contiguous United States and lies largely within protected federal wilderness. In July 2019, Yellowstone National Park and Wyoming Game and Fish Department biologists, with assistance from Wyoming Trout Unlimited and the Wyoming Storer Foundation, sampled environmental DNA in the connected waters near Two Ocean Pass. The sampling was conducted to determine if invasive lake trout or other nonnative fish were present, and could thereby colonize the Yellowstone River basin in the past or future and threaten native cutthroat trout of Yellowstone Lake.</p>
Woody Cover Mapping in the Kruger National Park using Sentinel-1 time series and LiDAR data
<p>This data repository presents a workflow to derive woody cover information for the Kruger National Park, South Africa, from freely available Sentinel-1 C-Band time series and LiDAR data (modified from Smit et al. 2016) using machine learning (MLR and Ranger in R). The methodology is described in following publication:</p> <p><em>Urban, M., K. Heckel, C. Berger, P. Schratz, I.P.J. Smit, T. Strydom, J. Baade & C. Schmullius (2020): Woody Cover Mapping in the Savanna Ecosystem of the Kruger National Park Using Sentinel-1 C-Band Time Series Data. Koedoe.</em></p> <p>In order to derive woody cover percentage information, download all files into one folder and run the R-Files consecutively from 01_ to 04_. Follow the instruction within each of the R-Files, which are written as comments in the programming code.</p> <p>The data repository consist of the following files:</p> <p><strong>R-Files:</strong></p> <p>1. Script 1: 01_MLR_tune_spatial_final</p> <p>2. Script 2: 02_MLR_cross_validation_spatial_final</p> <p>3. Script 3: 03_MLR_RANGER_train_final</p> <p>4. Script 4: 04_MLR_prediction_woody_cover_final</p> <p> </p> <p><strong>Training dataset - ENVI FILE (layerstack of Sentinel-1 VH and VV backscatter between 2016 and 2017 and the woody cover reference derived from the LiDAR data) :</strong></p> <p>1. S1_A_VH_VV_16_17_lidar</p> <p> </p> <p><strong>Data for prediction - ENVI FILES (3 example regions in the Kruger National Park):</strong></p> <p>1. S1_A_VH_VV_16_17_subset_example_Letaba_Rest_Camp</p> <p>2. S1_A_VH_VV_16_17_subset_example_Lower_Sabie</p> <p>3. S1_A_VH_VV_16_17_subset_example_Pafuri</p> <p> </p> <p><strong>Final woody cover maps of the Kruger National Park:</strong></p> <p>1. xx_woody_cover_map_final.rar (contains final maps in 10m, 30m, 50m and 100m spatial resolution as .tif and a QGIS project)</p> <p> </p> <p><em>References:</em></p> <p>Smit, I.P.J., Asner, G.P., Govender, N., Vaughn, N.R. & Wilgen, B.W. van, 2016, ‘An examination of the potential efficacy of high-intensity fires for reversing woody encroachment in savannas’, <em>Journal of Applied Ecology</em>, 53(5), 1623–1633.</p>
Figure 1 Galumna sandormahunkai n in New and interesting species of the generaGalumna andPergalumna (Acari, Oribatida, Galumnidae) from the Montagne d'Ambre National Park, Madagascar
Figure 1 Galumna sandormahunkai n. sp., adult: a – dorsal view; b – ventral view (gnathosoma and legs omitted). Scale bar 100 μm.
Gridded fossil CO2 emissions and related O2 combustion consistent with national inventories 1959-2018
<p>GCP-GridFED (version 2019.1) is a gridded fossil emissions dataset that is consistent with the national CO<sub>2</sub> emissions reported by the Global Carbon Project (GCP). GCP-GridFEDv2019.1 provides monthly fossil CO<sub>2 </sub>emissions for the period 1959-2018 at a spatial resolution of 0.1° × 0.1°. The gridded emissions estimates are provided separately for fossil CO<sub>2</sub> emitted by the oxidation of oil, coal and natural gas, with mixed international bunker fuels considered separately, as well as for the calcination of limestone during cement production. GCP-GridFED also includes gridded uncertainties in CO<sub>2 </sub>emission, incorporating differences in uncertainty across emissions sectors and countries, and gridded estimates of corresponding O<sub>2</sub> uptake based on oxidative ratios for oil, coal and natural gas.</p> <p>GCP-GridFED was produced by scaling monthly gridded emissions for the year 2010, from the Emissions Database for Global Atmospheric Research (EDGAR; version 4.3.2; Janssens-Maenhout et al., 2019), to the national annual emissions estimates compiled as part of the 2019 global carbon budget (GCB-NAE) for the years 1959-2018 (Friedlingstein et al., 2019).</p> <p>The data description article is under review.</p>
Data from: DNA metabarcoding for biodiversity monitoring in a national park: screening for invasive and pest species
<ol> <li><span>DNA metabarcoding was utilized for a large-scale, multi-year assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). </span></li> <li><span>Principal Component Analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park.</span></li> <li><span>Jaccard distance matrices of the presences of BINs at collection sites in the two survey years (2016 and 2018) were significantly correlated.</span></li> <li><span>Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens.</span></li> <li><span>A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol.</span></li> <li> <span>A single 98.6% match to the invasive bark beetle </span><span>Ips duplicatus</span><span> was detected in an ethanol sample. This species has not previously been detected in the National Park.</span> </li> </ol>
Figure 15 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 15. Distribution map: Ascogaster brevivena sp. nov., grey circle; Ascogaster ferruginegaster sp. nov., black triangle; Ascogaster prolixogaster sp. nov., grey triangle; Ascogaster rubriscapa sp. nov., black square.
Figure 13 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 13. Phanerotoma nigriscapulata sp. nov.: (a) habitus, lateral, paratype, scale line = 1 mm; (b) head, anterior, holotype, scale line = 0.5 mm; (c) mesosoma, dorsal, paratype, scale line = 1 mm; (d) fore wing, paratype, scale line = 1 mm.
Figure 2 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 2. Tree resulting from the Bayesian phylogenetic analysis of the COI data for the genus Ascogaster. Numbers on branches show posterior probabilities. Abbreviations: (a) PTP analysis; (b) GMYC (single); (c) GMYC (multi); (d) morphology.
Figure 3 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 3. Tree resulting from the Bayesian phylogenetic analysis of the COI data for the genus Phanerotoma. Numbers on branches show posterior probabilities. Abbreviations: (a) PTP analysis; (b) GMYC (single); (c) GMYC (multi); (d) morphology.
Figure 10 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 10. Phanerotoma bushblitz sp. nov.: (a) habitus, lateral, holotype, scale line = 1 mm; (b) head, anterior view, paratype, scale line = 0.5 mm; (c) metasoma, dorsal, paratype, scale line = 1 mm; (d) fore wing, paratype, scale line = 1 mm.
Figure 6 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 6. Ascogaster prolixogaster sp. nov.: (a) habitus, lateral, holotype, scale line = 1 mm; (b) head, anterior, holotype, scale line = 0.5 mm; (c) metasoma, dorsal, holotype, scale line = 1 mm, metasomal teeth arrowed; (d) fore wing, paratype, scale line = 1 mm.
Figure 8. Phanerotoma behriae Zettel, 1988a in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 8. Phanerotoma behriae Zettel, 1988a: (a) habitus, lateral, holotype, scale line = 1 mm, inset type label; (b) head, anterior, holotype, scale line = 0.5 mm; (c) head, dorsal, holotype, scale line = 1 mm; (d) metasoma, dorsal, holotype, scale line = 1 mm; (e) fore wing, other material, scale line = 1 mm.
Figure 4 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 4. Ascogaster brevivena sp. nov.: (a) habitus, lateral, holotype, scale line = 1 mm; (b) mesosoma and metasoma, dorsal view, holotype, scale line = 1 mm; (c) head, dorsal, holotype, scale line = 0.5 mm; (d) head, anterior, holotype, scale line = 0.5 mm; (e) fore wing, paratype, scale line = 0.5 mm.
Highlights from 10+ years of lichenological research in Great Smoky Mountains National Park: celebrating the United States National Park Service Centennial
<p>Great Smoky Mountains National Park is renowned as one of the most biologically diverse tracts of land in North America and is the most visited national park in the United States. The park comprises ∼830 square miles, epitomizes eastern temperate hardwood forests of North America, and serves as a refuge for nearly 20,000 documented species from microbes to plants and mammals. Lichens comprise one particularly diverse group of organisms in the park. In this study, we review data from our 11 years of lichenological research in Great Smoky Mountains National Park. Based on approximately 6,000 new field collections generated, the park checklist now includes 920 species, a 129% increase over estimates made two decades ago. Nearly a quarter of the lichens reported in the park are known from only a single occurence whereas only 7% of the lichens are known from 20 or more occurences. An assessment of commonness/rarity for all 920 species indicates that nearly half of the park's lichens should be considered to be infrequent, rare, or exceptionally rare. We assessed the distributions of all 920 species and found that 54 are endemic to the southeastern United States, 30 are endemic to the southern Appalachians, and eight occur nowhere else than within the confines of the national park. We discuss biogeographical affinities of the park's lichen biota as a whole, delimiting six regional "floristic" connections. Our 11 years of research have resulted in the discovery of several species presumed to be extinct or near-extinct. We make one new combination (<em><strong>Fuscopannaria frullaniae</strong></em>) and describe five species as new to science, each commemorating National Park Service staff instrumental to the completion of the study: <em><strong>Heterodermia langdoniana</strong></em>, <em><strong>Lecanora darlingiae</strong></em>, <em><strong>Lecanora sachsiana</strong></em>, <em><strong>Leprocaulon nicholsiae,</strong></em> and <em><strong>Pertusaria superiana</strong></em>.</p>
Figure 1 in Habitat and diet of Bhutan takin Budorcas taxicolor whitei during summer in Jigme Dorji National Park, Bhutan
Figure 1. Location of study area, Tsharijathang valley (black box), within Jigme Dorji National Park (shaded grey), north-western Bhutan.
Output dataset for the SIM4NEXUS Sweden national level case study
<p>Complete baseline system dynamics model output for the national level Sweden case study of the SIM4NEXUS project. The data are provided split into three regions in Sweden. Aggregating across the regions gives national totals.</p>
Figure 1 in At the crossroads from Asia to Europe: spring migration of raptors and black storks in Dadia National Park (Greece)
Figure 1. Dadia National Park (GR) at the crossroads from Asia to Europe. Letters refer to locations mentioned in the text, A: Dardanelles (TR), B: Evros Delta (GR/TR), C: Dadia NP (GR). Arrows symbolize the main raptor migration routes in spring, 1: Bosphorus (TR), 2: Marmara Flyway (TR), 3: Dardanelles (TR), 4: Black Sea coast (TR/BG), 5: Hypothetical flyway connecting Bosphorus with Central Bulgaria, 6: Flyway connecting Bosphorus and the Evros Delta (TR), 7: Flyway from the Evros Delta northwards along the western fringe of the Evros river floodplain (GR).
Corresponding spreadsheet to the Paper 'An intersectional approach to analyse gender productivity and open access: a bibliometric analysis of the Italian National Research Council' submitted to the Scientometric journal by Roberta Ruggieri, Fabrizio Pecoraro and Daniela Luzi from National Research Council, Italy.
<p>Gender equality and Open Access (OA) are priorities within the European Research Area (ERA) and cross-cutting issues in European research program H2020. Gender and openness are also key elements of Responsible Research and Innovation (RRI). However, despite the common underlying targets of fostering an inclusive, transparent and sustainable research environment, both issues are analysed as independent, unrelated topics.<br> This paper represents a first exploration of the inter-linkages between gender and OA analysing the scientific production of researchers of the Italian National Research Council under a gender perspective integrated with the different OA publications modes. A bibliometric analysis was carried out for articles published in the period 2016-2018 and retrieved from the Web of Science. Results are presented constantly analysing CNR scientific production in relation to gender, disciplinary fields and OA publication modes. These variables are also used when analysing articles that receive financial support.<br> Our results indicate that gender disparities in scientific production still persist in particularly in STEM disciplines (Science, Technology, Engineering and Mathematics), while in medical and agricultural sciences the gender gap is the closest to parity. A positive dynamic toward OA publishing and women scientific production is shown when open disciplines with well-established practices are related to articles supported by funds. A slightly higher women propensity toward OA is shown when considering Gold OA,OA or authorships with women in the first and last article by-line position. Moreover, the prevalence of Italian funded articles with women’s contributions published in Gold OA journals seems to confirm this tendency, especially if considering the week enforcement of the Italian OA policies.</p>
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.