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Fig. 3 in Redescription of the endangered hypoptopomatine catfish Parotocinclus spilurus (Fowler, 1941) (Siluriformes: Loricariidae) from the upper rio Jaguaribe basin, northeastern Brazil
Fig. 3. Ontogenetic variation in Parotocinclus spilurus topotypes, UFRN 0321, 0389, UFPB 9989, specimens A to C between 46.5-30.5 mm SL, D to G between 26.9-21.6 mm SL. Specimens represented in scale.
Data for "Water (or the Lack Thereof), Management, and Conservation of an Endangered Desert Wetland Obligate, Lilaeopsis schaffneriana var. recurva"
<p>Raw and RData forms of data for "Water (or the Lack Thereof), Management, and Conservation of an Endangered Desert Wetland Obligate, <em>Lilaeopsis schaffneriana </em>var. <em>recurva". </em>Consists of six Excel files, with names corresponding to the type of data.</p> <ol> <li>field_ecology_data.xlsx </li> <li>experiment_randomization.xlsx </li> <li>experiment_entered_data.xlsx </li> <li>resilience_days_to_critical.xlsx </li> <li>resilience_experiment_data.xlsx </li> <li>resilience_leaf_density_data.xlsx </li> </ol> <p>Four RData files of the loaded Excel data, and one text file to explain the coding of the drought experiment data.</p>
Supporting data for: Vocal fingerprinting reveals a substantially smaller global population of the Critically Endangered cao vit gibbon (Nomascus nasutus) than previously thought
<p>These data were used in the publication "Vocal fingerprinting reveals a substantially smaller global population of the Critically Endangered cao vit gibbon (Nomascus nasutus) than previously thought", currently in review. </p><p>The acoustic measurements provided in the file were input to the clustering analyses detailed in the paper. Each row corresponds to a single male song phrase. The columns include:</p><ul><li>GroupID - the name of the gibbon group, based on manual identification of the song phrase</li><li>MFCC[1-88] - Mel-frequency cepstral coefficients as detailed in the paper</li><li>Delta[89-176] - Delta-cepstral coefficients as detailed in the paper</li><li>Duration - the length of the song phrase (in seconds)</li><li>Freq 5% (Hz) and Freq 95% (Hz) - 5th and 95th percentile frequencies, respectively</li><li>Cao and Vit - the number of "cao" and "vit" components, respectively, present in the song phrase</li><li>CutFileName - the file name of the extracted song phrase (which also acts as a unique identifier)</li><li>Representative - whether the given song phrase was 'representative' ("Yes" or "No") of a typical phrase for that male (as defined by the modal number of 'cao' and 'vit' components for males)</li></ul><p>All columns (except GroupID, CutFileName and Representative) have been standardised (i.e. centred to the mean and scaled according to the standard deviation).</p>
Unravelling the mystery of endemic versus translocated populations of the endangered Australian lungfish (Neoceratodus forsteri)
<p><strong>RADseq dataset of the Australian lungfish (</strong><em><strong>Neoceratodus forsteri).</strong></em></p> <p>The dataset is constituted of 100 samples and 5,196 nuclear SNPs. There are five populations each with 20 samples. IDs: BUR (Burnett River), MRY (Mary River), TIN (Tinana River), NPD (North Pine River), BNE (Brisbane River).</p> <p>The dataset is in VCF format.</p> <p> </p> <p><strong>Scripts for statistical calculations and demographic simulations.</strong></p>
Linking diet switching to reproductive performance across populations of two Critically Endangered mammalian herbivores
<p>Data associated with Harvey Sky, N., Britnell, J., Antwis, R. <em>et al.</em> Linking diet switching to reproductive performance across populations of two critically endangered mammalian herbivores. <em>Commun Biol</em> <strong>7</strong>, 333 (2024). https://doi.org/10.1038/s42003-024-05983-3</p> <p>The data deposited here includes raw metabarcoding output fasta files and some processed metabarcoding and sample data in xslx files. We include a more detailed description of each file below.</p> <p>Data regarding Kenyan black rhino and Grevy’s zebra are treated as sensitive and confidential. There are therefore restrictions on the data that we can make available. Due to these confidentiality considerations, the sample data stored here does not include locations of sample collection within each reserve for either species, or the identity or breeding data for black rhino. It also only includes the final processed values for NDVI and rainfall. The remote sensing data is available from the repositories cited in the methods, but we cannot provide the shapefiles or other data used to calculate the final values for each sample. </p> <p><em><strong>Raw fasta files_plants.zip</strong></em></p> <p>A zipped folder containing the raw fasta files which were the output from the MiSeq sequencing of dietary plants in the faecal samples for both black rhino and Grevy's zebra. Within the zipped folder, the first part of the title of each fasta.gz file is the sample code (S1, S2, S3 etc), which allows you to cross reference these files with the sample data and processed sequencing data in the xslx files. Files with R1 in the title are foward reads, and R2 are reverse reads. </p> <p><em><strong>Raw fasta files_bacteria.zip</strong></em></p> <p>A zipped folder containing the raw fasta files which were the output from the MiSeq sequencing of microbiome bateria in the faecal samples for both black rhino and Grevy's zebra. Within the zipped folder, the first part of the title of each fasta.gz file is the sample code (S1, S2, S3 etc), which allows you to cross reference these files with the sample data and processed sequencing data in the xslx files. Files with R1 in the title are foward reads, and R2 are reverse reads. </p> <p><em><strong>Sample data and processed metabarcoding data_Black rhino.xlsx</strong></em></p> <p><em>Sample data tab</em></p> <p>The data that we are able to share that is associated with each black rhino sample.</p> <p>SampleID - The code used to identiy each sample which allows it be cross-referenced with other tabs and the fasta files. </p> <p>IndividualID - We are not able to share rhino names or other identifiers, but we have given each individual a unique number so that it can be seen which samples came from the same individuals. </p> <p>NDVI - Mean NDVI of each individual's area of utilisation in the 10-day period within which the sample was collected. The method used to calculate this is described in the methods of the article. </p> <p>Rainfall - Cumulative rainfall over the 30 days previous to sample collection for the 0.05 degree pixel under the sample. The method used to calculate this is described in the methods of the article. </p> <p>Season - Post is the post-rain sampling season June-July 2018. Pre is the pre-rain sampling season January-March 2019. </p> <p>Reserve - The reserve that the sample was collected on. </p> <p>Date - The date of sample collection. </p> <p>Dietary breadth - Shannon-Wiener index of dietary alpha diversity. The method used to calculate this is described in the methods of the article. NA signifies that the number of reads returned for that sample was under the threshold that signified sequencing failure for the dietary plant metabarcoding.</p> <p>Poaceae, Fabaceae, Ebenaceae - The relative abundance of each of these three dietary plant families that were the focus of our analyses. The method used to calculate these is described in the methods of the article. NA signifies that the number of reads returned for that sample was under the threshold that signified sequencing failure for the dietary plant metabarcoding.</p> <p><em>Bacteria numbers of reads</em></p> <p>The number of reads assigned to each bacterial ASV found in each sample. </p> <p><em>Bacteria sequences and reads</em></p> <p>The sequence of each ASV, and the taxa assigned to each sequence in the microbiome metabarcoding. The method for taxonomic assignment is described in the methods of the article. </p> <p><em>Plant numbers of reads</em></p> <p>The number of reads assigned to each dietary plant ASV found in each sample. </p> <p><em>Plant sequences and reads</em></p> <p>The sequence of each ASV, and the taxa assigned to each sequence in the dietary plant metabarcoding. The method for taxonomic assignment is described in the methods of the article. </p> <p> </p> <p><em><strong>Sample data and processed metabarcoding data_Grevy's zebra.xlsx</strong></em></p> <p><em>Sample data tab</em></p> <p>The data that we are able to share that is associated with each Grevy's zebra sample.</p> <p>Sample ID - The code used to identiy each sample which allows it be cross-referenced with other tabs and the fasta files. </p> <p>NDVI - Mean NDVI of each individual's area of utilisation in the 10-day period within which the sample was collected. The method used to calculate this is described in the methods of the article. </p> <p>Rainfall - Cumulative rainfall over the 30 days previous to sample collection for the 0.05 degree pixel under the sample. The method used to calculate this is described in the methods of the article. </p> <p>Reserve - The reserve that the sample was collected on. </p> <p>Season - Post is the post-rain sampling season July-August 2018. Pre is the pre-rain sampling season January-February 2019. </p> <p>Date - The date of sample collection. </p> <p>Dietary breadth - Shannon-Wiener index of dietary alpha diversity. The method used to calculate this is described in the methods of the article. </p> <p>Poaceae, Fabaceae - The relative abundance of each of these two dietary plant families that were the focus of our analyses. The method used to calculate these is described in the methods of the article. NA signifies that the number of reads returned for that sample was under the threshold that signified sequencing failure for the dietary plant metabarcoding.</p> <p>Indigofera - The relative abundance of each of this Fabaceae genus was included in our analyses. The method used to calculate these is described in the methods of the article. NA signifies that the number of reads returned for that sample was under the threshold that signified sequencing failure for the dietary plant metabarcoding.</p> <p><em>Bacteria numbers of reads</em></p> <p>The number of reads assigned to each bacterial ASV found in each sample. </p> <p><em>Bacteria sequences and reads</em></p> <p>The sequence of each ASV, and the taxa assigned to each sequence in the microbiome metabarcoding. The method for taxonomic assignment is described in the methods of the article. </p> <p><em>Plant numbers of reads</em></p> <p>The number of reads assigned to each dietary plant ASV found in each sample. </p> <p><em>Plant sequences and reads</em></p> <p>The sequence of each ASV, and the taxa assigned to each sequence in the dietary plant metabarcoding. The method for taxonomic assignment is described in the methods of the article. </p> <p> </p>
Application of LiDAR to assess the habitat selection of an endangered small mammal in an estuarine wetland environment
<p>Light detection and ranging (lidar) has emerged as a valuable tool for examining the fine-scale characteristics of vegetation. However, lidar is rarely used to examine coastal wetland vegetation or the habitat selection of small mammals. Extensive anthropogenic modification has threatened the endemic species in the estuarine wetlands of the California coast, such as the endangered salt marsh harvest mouse (<em>Reithrodontomys raviventris</em>; SMHM). A better understanding of SMHM habitat selection could help managers better protect this species. We assessed the ability of airborne topographic lidar imagery in measuring the vegetation structure of SMHM habitats in a coastal wetland with a narrow range of vegetation heights. We also aimed to better understand the role of vegetation structure in habitat selection at different spatial scales. Habitat selection was modeled from data compiled from 15 small mammal trapping grids collected in the highly urbanized San Francisco Estuary in California, USA. Analyses were conducted at three spatial scales: microhabitat (25 m<sup>2</sup>), mesohabitat (2,025 m<sup>2</sup>), and macrohabitat (10,000 m<sup>2</sup>). A suite of structural covariates was derived from raw lidar data to examine vegetation complexity. We found that adding structural covariates to conventional habitat selection variables significantly improved our models. At the microhabitat scale in managed wetlands, SMHM preferred areas with denser and shorter vegetation, and selected for proximity to levees and taller vegetation in tidal wetlands. At the mesohabitat scale, SMHM were associated with a lower percentage of bare ground and with pickleweed (<em>Salicornia pacifica</em>) presence. All covariates were insignificant at the macrohabitat scale.<em> </em>Our results suggest that SMHM preferentially selected microhabitats with access to tidal refugia and mesohabitats with consistent food sources. Our findings showed that lidar can contribute to improving our understanding of habitat selection of wildlife in coastal wetlands and help to guide future conservation of an endangered species.</p>
Climate warming and temporal variation in reproduction strategies in the endangered meadow viper
<p>Here, we used more than three decades of mark-recapture data in a natural population of the endangered meadow viper (<i>Vipera ursinii ursinii</i>) to unravel the patterns of temporal variation in reproductive traits, local climatic determinants of inter-annual variation in reproduction and the potential buffering effects of life cycle on population growth rate. We found significant inter-annual variation in annual body growth, gestation length, post-parturition body condition, clutch success and offspring traits at birth, but little temporal effects in reproductive effort. Temperature during gestation was the most influential local climatic determinant by shortening gestation length, and increasing clutch success and post-parturition body condition. Neither air humidity nor insolation was found to influence reproduction.</p>
Data from: Distribution, ecology, and natural history of the recently rediscovered and critically endangered Santa Marta Sabrewing
<div><strong>Description for "RawData&media_Cphainopeplus" dataset.</strong></div> <div> </div> <div>Data from: Distribution, ecology, and natural history of the recently rediscovered and critically endangered Santa Marta Sabrewing</div> <div>MS bioRxiv ID: </div> <div>Article DOI:</div> <div> </div> <div>Please address questions to:</div> <div> </div> <div>Esteban Botero D., Dr.Sc.</div> <div>Director of Conservation Science</div> <div>SELVA: Research for Conservation in the Neotropics</div> <div>http://www.selva.org.co</div> <div>https://www.selva.org.co/integrantes/esteban-botero-delgadillo/</div> <div>e-mail: eboterod@gmail.com; esteban.botero@selva.org.co</div> <div> </div> <div>=====================================================================================</div> <div>=====================================================================================</div> <div> </div> <div> </div> <div><strong>General information:</strong></div> <div> </div> <div>The whole dataset contains information on Santa Marta Sabrewing, a critically endangered (CR) hummingbird species endemic to the Sierra Nevada de Santa Marta, northern Colombia. Part of the data are of public access and consist of historical geographic records, while another part contains data collected from a focal study population of Santa Marta Sabrewing inhabiting along the La Macana stream, in the Guatapurí River Basin, Cesar Department. No exact coordinates from the focal population were included in this dataset or related documents/materials to protect these locations.</div> <div> </div> <div>The data set is comprised by an Excel file (four spreadsheets) and two short video files that are explained below.</div> <div> </div> <div>*************************************************************************************</div> <div> </div> <div><strong>Excel file "RawData_Cphainopeplus.xlsx" (created 12-02-2024)</strong></div> <div> </div> <div> </div> <div>********** Spreadsheet "1. ConfirmedLoc" **********</div> <div>This spreadsheet contains metadata for the only five records of Santa Marta Sabrewing with confirmatory evidence.</div> <div> </div> <div>The matrix contains the following variables:</div> <div> </div> <div>VARIABLE DESCRIPTION</div> <div> </div> <div>Locality: Name of the locality as described in museums or public databases.</div> <div>Department: Name of department where the locality is found.</div> <div>Latitude: Latitude in decimal degrees.</div> <div>Longitude: Longitude in decimal degrees.</div> <div>Record status: Confirmed (with confirmatory evidence) or unconfirmed (without or needing further examination).</div> <div>Evidence: Evidence available to confirm the record.</div> <div>Source: Source of the record.</div> <div>Observations: Additional information for each row.</div> <div> </div> <div> </div> <div>********** Spreadsheet "2. PointCountDat" **********</div> <div>This spreadsheet contains information from bird counts aimed at detecting Santa Marta Sabrewing.</div> <div> </div> <div>The matrix contains the following variables:</div> <div> </div> <div>VARIABLE DESCRIPTION</div> <div> </div> <div>ID: Point-count station ID.</div> <div>Elevation: Elevation in m.</div> <div>Native: Proportion (0–1) of native vegetation 100 m around the point coordinates.</div> <div>Transformed: Proportion (0–1) of transformed vegetation 100 m around the point coordinates.</div> <div>R1: First point-count replicate, with 0 = absence and 1 = presence.</div> <div>R2: Second point-count replicate, with 0 = absence and 1 = presence.</div> <div>R3: Third point-count replicate, with 0 = absence and 1 = presence.</div> <div>R4: Fourth point-count replicate, with 0 = absence and 1 = presence.</div> <div> </div> <div> </div> <div>********** Spreadsheet "3. Behav" **********</div> <div>This spreadsheet contains information from ad libitum observations to characterize habitat associations and general behaviour of Santa Marta Sabrewing.</div> <div> </div> <div>The matrix contains the following variables:</div> <div> </div> <div>VARIABLE DESCRIPTION</div> <div> </div> <div>Date: Date (day/month/year).</div> <div>Hour: Hour in 24h format.</div> <div>Elevation: Elevation in m.</div> <div>No. Indiv.: No. of individuals of Santa Marta Sabrewing recorded.</div> <div>Behaviour: Simple categories describing sabrewing behaviour.</div> <div>Habitat: Simple categories describing habitat type where sabrewing was recorded.</div> <div> </div> <div> </div> <div>********** Spreadsheet "4. HabitatNeu" **********</div> <div>This spreadsheet contains estimated quantities for estimating Neu´s habitat proportions for Santa Marta Sabrewing. </div> <div> </div> <div>The matrix contains the following variables:</div> <div> </div> <div>VARIABLE DESCRIPTION</div> <div> </div> <div>Habitat: Simple categories describing habitat type where sabrewing was recorded.</div> <div>Obs. Count: No. of Santa Marta Sabrewing records in each habitat type.</div> <div>Hab. Prop.: Proportional area (0–1) of each habitat type in study area.</div> <div>Expected Use: Expected No. of records based on each habitat's proportional area.</div> <div>Sel. Ratio: Ratio between observed count and expected use.</div> <div>Standard. Ratio: Standardized selection ratio (0–1).</div> <div> </div> <div>*************************************************************************************</div> <div> </div> <div><strong>Video file "Campylopterus_threat.mp4" (modified 09-02-2024)</strong></div> <div> </div> <div>A slow-motion (~0.1 x) video showing a perching male Santa Marta Sabrewing involved in a persecution flight with a conspecific male aggressor. <span>Footage was taken along the course of La Macana stream, near Chemesquemena village (Cesar Department, northern Colombia). </span>Video: Elquin Toro © (reproduced with permission).</div> <div> </div> <div>*************************************************************************************</div> <div> </div> <div><strong>Video file "Campylopterus_fight.mp4" (modified 09-02-2024)</strong></div> <div> </div> <div>A lek-attending male Santa Marta Sabrewing vocalizing in a perch and subsequently adopting a threatening body posture with wing and tail feathers extended towards a conspecific male intruder. <span>Footage was taken along the course of La Macana stream, near Chemesquemena village (Cesar Department, northern Colombia). </span>Video: Elquin Toro © (reproduced with permission).</div> <div> </div> <div> </div> <div>=====================================================================================</div> <div> </div> <div> </div> <div><strong>Methodological information (for more details, please see the related manuscript):</strong></div> <div> </div> <div>We conducted a thorough revision of scientific literature, international public databases, digital collections, and museum international/national bird collections in search of geographical records of Santa Marta Sabrewing.</div> <div> </div> <div>Aside from the locality where the focal population was found (along the La Macana stream, near the Chemesquemena village, Cesar department), we also conducted three 4–7-day field expeditions to three other localities where Santa Marta Sabrewing could stably occur: San Lorenzo ridge (Magdalena Department); the upper Rioancho River basin, in Dibulla (La Guajira Department); Aracataca (Magdalena Department).</div> <div> </div> <div>We projected Santa Marta Sabrewing's extent of occurrence (EOO) and area of occupancy (AOO). Our EOO and AOO projections were compared with the threshold values given under the IUCN’s criteria B1 and B2 (IUCN 2022). To this end, we delimited suitable habitat in ArcGIS Desktop 10 (ESRI 2011) using a vegetation layer from the CORINE Land Cover Methodology from Colombia, 2018, at 1:100,000 scale (IDEAM 2021), and a layer of biomes compiled in the public-access portal of the Land-use Planning Geographic Information System (SIG-OT) of the “Agustín Codazzi” Geographic Institute of Colombia (https://geoportal.igac.gov.co).</div> <div> </div> <div>We conducted bird counts from September to December 2022 to estimate local abundance along the course of La Macana stream, near Chemesquemena village. Bird surveys were carried out using 20 georeferenced point-count stations (30 m radius), in which one observer searched for Santa Marta Sabrewing for 15 min. One count per station was conducted every month between 07:00 to 11:00s. Detection histories were analysed using the <em>occu</em> function in the <em>unmarked</em> package (Fiske and Chandler 2011) in R 4.0.2 (R Core Team 2020).</div> <div> </div> <div>In the same locality, we also conducted ad libitum observations from July 2022 to October 2023 to describe different aspects of the species’ natural history. We conducted 2–3-day monthly visits to monitor individuals and territories year-round. We described feeding habits and aspects of social or breeding behaviour, including territorial and lekking displays, vocal activity, and lek conformation.</div> <div> </div> <div>Lastly, we performed acoustic analysis focused on a description of Santa Marta Sabrewing territorial calls based on three males. We selected and analyzed a single high-quality recording per male of 20 seconds each. We used a Zoom H6 recorder coupled with a Rode NTG4 phantom-powered shotgun microphone. We visualized and analyzed the recordings using the Seewave package (Sueur et al. 2008) in R.</div> <div> </div> <div> </div> <div><strong>References:</strong></div> <div> </div> <div>ESRI (2011). ArcGIS Desktop: Release 10. Redlands, CA, USA: Environmental Systems Research Institute.</div> <div> </div> <div>Fiske, I., and Chandler, R. (2011). “unmarked”: an R package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance. J. Stat. Soft. 43: 1–23.</div> <div> </div> <div>IDEAM (2021). Leyenda nacional de coberturas de la tierra. Metodología CORINE Land Cover adaptada para Colombia escala 1:100.000 (período 2018). Bogotá, Colombia: Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM).</div> <div> </div> <div>IUCN Standards and Petitions Committee (2022). Guidelines for using the IUCN Red List Categories and Criteria. Version 15. Prepared by the Standards and Petitions Committee. https://www.iucnredlist.org/documents/RedListGuidelines.pdf</div> <div> </div> <div>R Core Team. (2020). R: a language and environment for statistical computing, version 4.0.2. R Foundation for Statistical Computing, Vienna, Austria, http://www.R.project.org</div> <div> </div> <div>Sueur, J., Aubin, T., and Simonis, C. (2008). Seewave: a free modular tool for sound analysis and synthesis. Bioacoustics 18: 213–226.</div> <div> </div> <div>=====================================================================================</div> <div>=====================================================================================</div> <p> </p>
Plate 1. Crocidura nicobarica Microscopic structure a in Observation on the re-occurrence of Nicobar spiny shrew (Crocidura nicobarica Miller, 1902): A critically endangered mammal of Great Nicobar Island, India
Plate 1. Crocidura nicobarica Microscopic structure a) Fore limb, b) Hind limb, c) Tip of tail, d) Dorsal fur, e) Long black hairs in snout, f) Long white hairs in tail and g) White tooth.
FIGURE 5 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 5 | The proportion of body depth at dorsal-fin origin (% SL) versus the standard length (mm) in females (red triangles) and males (blue dots) in Characidium onca. Symbols indicating the mature females are highlighted in the dashed area.
FIGURE 6 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 6 | Maps of the tributaries of rio Paranaíba in Goiás State, Brazil in general view (left), with the rio São Bartolomeu basin detailed in the Distrito Federal (right). The type locality of Characidium onca is indicated by a star in the córrego Taquara. Abbreviations: BA, Bahia; DF, Distrito Federal; GO, Goiás; MG, Minas Gerais; MS, Mato Grosso do Sul; MT, Mato Grosso; and TO, Tocantins.
FIGURE 4 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 4 | Pseudotympanum in Characidium onca (MZUSP 125801, paratype). Abbreviations: 5th pl, pleural rib of fifth vertebra; a, anterior window of pseudotympanum; lln, lateral line nerve; ls, lateralis superficialis; oi, obliquus inferioris; os, obliquus superioris; p, posterior window of pseudotympanum. Scale bar = 1 mm.
FIGURE 7 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 7 | Satellite images of the Area de Preservação Ambiental das Bacias do Gama e Cabeça de Veado (highlighted in red), showing the land use and cover changes along the past 34 years, and predicted: in A. year of 1986, with urban areas concentrated north of the FAL–UNB, RECOR and EEJBB; B. year of 1996, illustrating the beginning of expansion of urban and rural areas just east of the FAL–UNB, RECOR and EEJBB; C. year of 2006, after the construction of the Juscelino Kubitschek bridge in 2002, illustrating a rapid expansion of urban areas in the eastern area; and D., predicted situation according to the Distrito Federal Territorial Planning Master Plan (2009, 2019). Green polygons indicate protected areas; yellow, urban areas; blue, rural areas; black, public land; and, red arrow, the Juscelino Kubitschek bridge. Abbreviations: FAL–UNB, Estação Experimental Fazenda Águas Limpas of the University of Brasília; RECOR, Reserva Ecológica do Instituo Brasileiro de Geografia e Estatística; and EEJBB, Estação Ecológica do Jardim Botânico de Brasília. Source of maps: Google Earth.
FIGURE 1 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 1 | Characidium onca, holotype, MZUSP 125807, 40.1 mm SL, male. A. Specimen in lateral view soon after collection; B–D. Preserved specimen in lateral dorsal, ventral views.
FIGURE 3 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 3 | Osteological characteristics in Characidium onca, paratypes: A. Right upper jaw in medial view (MZUSP 125803); B. Right dentary in medial view (MZUSP 125803); C. Left pectoral gridle in lateral view (MZUSP 125801); D. Skull in dorsal view (MZUSP 125803); E. Posterior portion of skull in dorsal view (MZUSP 125801). Abbreviations: ANT, antorbital; CLE, cleithrum; COR, coracoid; DEN, dentary; dentl, lateral row of dentary teeth; dentm; middle row of dentary teeth; dentr, replacement lateral row of dentary teeth; DPSO, dorsal process of the supraoccipital; ESC, extrascapular; FR, frontal; fbsc, frontal branch of the supraorbital canal; fo, fontanel; IO 1–6, infraorbitals 1 to 6; MCO, mesocoracoid; MEC, Meckel's cartilage; METH, mesethmoid; MX, maxilla; NA, nasal; PAR, parietal; pbsc, parietal branch of the supraorbital canal; PCP, posterior cleithral process; PCL 1–3, postcleithrum 1 to 3; PMX, premaxilla; pmxt, premaxilarry teeth; pmxtr, replacement premaxillary teeth; POST, posttemporal; PTE, pterotic; SC, scapula; SCL, supracleithum; SUO, supraorbital. Scale bar = 1 mm.
FIGURE 2 in A new, narrowly distributed, and critically endangered species of Characidium (Characiformes: Crenuchidae) from the Distrito Federal, Central Brazil
FIGURE 2 | Paratypes of Characidium onca. A–B. MZUSP 125798, 23.8–27.0 mm SL respectively, córrego Taquara; C. MZUSP 125795, 28.6 mm SL, córrego Roncador; D. ZUEC 17242, 38.7 mm SL, córrego Roncador; E–F. MZUSP 125797, 39.0–44.1 mm SL, respectively, córrego Roncador. Scale bar = 5 mm.
Data from: Feather corticosterone is lower in translocated and historical populations of the endangered Laysan duck (Anas laysanensis)
<p>Identifying reliable bioindicators of population status is a central goal of conservation physiology. Physiological stress measures are often used as metrics of individual health and can assist in managing endangered species if linked to fitness traits. We analysed feather corticosterone, a cumulative physiological stress metric, of individuals from historical, translocated, and source populations of an endangered endemic Hawaiian bird, the Laysan duck (<em>Anas laysanensis</em>). We hypothesised that feather corticosterone would reflect the improved reproduction and survival rates observed in populations translocated to Midway and Kure Atolls from Laysan Island. We also predicted less physiological stress in historical Laysan birds collected before ecological conditions deteriorated and the population bottleneck. All hypotheses were supported: we found lower feather corticosterone in the translocated populations and historical samples than in those from recent Laysan samples. This suggests that current Laysan birds are experiencing greater physiological stress than historical Laysan and recently translocated birds. Our initial analysis suggests that feather corticosterone may be an indicator of population status and could be used as a non-invasive physiological monitoring tool for this species with further validation. Furthermore, these preliminary results, combined with published demographic data, suggest that current Laysan conditions may not be optimal for this species.</p>
Fig. 2 in Three Critically Endangered new species of Capurodendron (Sapotaceae) from Madagascar
Fig. 2. - Field photograph of the type collection of Capurodendron schatzii L. Gaut. & Naciri. [Photo: G.E. Schatz]
Fig. 3 in Three Critically Endangered new species of Capurodendron (Sapotaceae) from Madagascar
Fig. 3. - Known distribution of (A-B) Capurodendron sahafariense L. Gaut. & Naciri (green), (A, C) C. schatzii L. Gaut. & Naciri (pink), and (A, D) C. nanophyllum L. Gaut. & Naciri (blue). Limits of protected areas in yellow. [Google Earth Images. Copyright 2018 DigitalGlobe. Reproduced per attribution guidelines]
Fig. 5 in Three Critically Endangered new species of Capurodendron (Sapotaceae) from Madagascar
Fig. 5. - Field photograph of the type collection of Capurodendron sahafariense L. Gaut. & Naciri. [Photo: F. Ratovoson]
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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.