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Spanning Scales: The Airborne Spatial and Temporal Sampling Design of the National Ecological Observatory Network
<p>Supporting information, datasets, and R and JavaScript code for the the National Ecological Observatory Network’s Airborne Observation Platform (AOP) sampling design and publication, <em>"Spanning Scales: The Airborne Spatial and Temporal Sampling Design of the National Ecological Observatory Network"</em></p>
Fig. 2. – Dichaetanthera schatzii H in A new Dichaetanthera (Melastomataceae: Melastomateae) from Masoala National Park in Madagascar
Fig. 2. – Dichaetanthera schatzii H. Ranariv. & Almeda, showing leaves and the terminal paniculate inflorescence. [Photo: D. J. DuPuy]
Fig. 1. – Dichaetanthera schatzii H. Ranariv. & Almeda. A in A new Dichaetanthera (Melastomataceae: Melastomateae) from Masoala National Park in Madagascar
Fig. 1. – Dichaetanthera schatzii H. Ranariv. & Almeda. A. Habit; B. Enlargement of inflorescence node; C. Representative leaf (abaxial surface); D. Detail of indumentum on elevated primary vein; E. Petal (adaxial surface); F–G. Antepetalous (small) stamens (profile view); H–I. Antesepalous (large) stamens (profile view); J. Hypanthium and calyx lobes enveloping capsule (profile view); K. Ovary, style and stigma (profile view). [Schatz et al. 2806, CAS] [Drawings: A. Chou]
Fig. 2. – Schismatoclada spathulata D. Strid & Razafim. A in Schismatoclada spathulata (Rubiaceae), a new species from the Marojejy National Park (northeastern Madagascar)
Fig. 2. – Schismatoclada spathulata D. Strid & Razafim. A. Dissected corolla tube of a brevistylous flower showing the indumentum and the insertion of the stamens inside the tube; B. Brevistylous flower (corolla removed) showing pedicel, unequal calyx lobes, ovary, and style and stigma; C. Dissected corolla tube of a longistylous flower showing the indumentum and the insertion of the stamens inside the tube; D. A brevistylous flower showing a pedicel, unequal calyx lobes, an ovary, and a style and stigma; E. Young, beaked fruit with persistent calyx lobes; F. Broadly winged seed with irregular margins. [A–B: Rasoavimbahoaka 526; C–D: Razafimandimbison & Ravelonarivo 619; E–F: Bremer et al. 5319]
Fig. 1. – Schismatoclada spathulata D. Strid & Razafim. A in Schismatoclada spathulata (Rubiaceae), a new species from the Marojejy National Park (northeastern Madagascar)
Fig. 1. – Schismatoclada spathulata D. Strid & Razafim. A. Flowering branch with floral buds and fully open flowers and showing the dark purple inflorescence axes, calyces, and ovaries; B. Fruiting branch with young fruits; C. Habit showing immature, light purple, immature fruits. [A: Razafimandimbison & Ravelonarivo 619; B–C: Bremer et al. 5305] [Photos: A: S. Razafimandimbison; B–C: K. Kainulainen].
National Edition of Aldo Moro's works (RDF Dataset)
<p>A Turtle file that contains structural, intertextual and contextual data about the National Edition of Aldo Moro's works.</p>
Figs 1−4 in Catalogue of type specimens of true bugs (Hemiptera: Heteroptera) deposited in the National Museum, Prague, Czech Republic
Figs 1−4. Type labels of Ludvík Hoberlandt. 1−2 – Velia rhadamantha Hoberlandt, 1941, holotypus, characteristic style of labels in the 1940s; 3−4 – Sigara samani Hoberlandt, 1952, characteristic labels for the 1950s and later period. (Photos: L. Macháčková).
FIG. 2. — A, M2 in Previously unknown fossil platyrrhines (Primates) of Patagonia from the Tournouër collection at the Muséum national d'Histoire naturelle, Paris
FIG. 2. — A, M2 to MPEF-PV 10970; B, MPEF-PV 5342; C, MPEF-PV 5347b;D, MPEF-PV 5699 (mirror image); E, MNHN.F.COL93b (mirror image); F, MNHN.F.COL93a (mirror image); G, MNHN.F.COL93b and MNHN.F.COL93a identification label from MNHN. Abbreviations: Hyp, Hypocone; Pro, Protocone; Tal, Talon basin; Tri, Trigon basin; Met, Metacone; Lc, Lingual cingulum; Prepro, Preprotocrista; Hypa, Hypoparacrista; Par, Paracone; Ppar, Postparacrista; Pmet, Premetacrista; Hyme, Hypometacrista; Popro, Postprotocrista. Orientation abbreviations: D, distal; La, labial; M, mesial; Li, lingual. Scale bar: 1 mm.
FIG. 1. — MNHN.F.SCZ215 in Previously unknown fossil platyrrhines (Primates) of Patagonia from the Tournouër collection at the Muséum national d'Histoire naturelle, Paris
FIG. 1. — MNHN.F.SCZ215, partial mandible of Homunculus patagonicus Ameghino, 1891 with left m1 in lateral left (A), lateral right (B) and dorsal (C) views; D, m2 of MNHN.F.SCZ215; E, MNHN.F.SCZ215 identification label from MNHN. Abbreviations: alv i1, first incisor alveolus;alv i2, second incisor alveolus; alv c, canine alveolus; alv pm2, second premolar alveolus; Man Sym, Mandibular symphysis; Hypd, Hypoconid; Prd, Protoconid; Trid, Trigonid basin; Med, Metaconid; Entd, Entoconido; Tald, Talonid basin. Orientation abbreviations: D, Distal; La, Labial; M, Mesial; Li, Lingual. Scale bar: 1 mm.
FIG. 3 in The d'Orbigny Palaeontological Collection of the National Museum of Natural History and Science, Lisbon, Portugal: Historical perspective and revision of Cretaceous Cephalopoda
FIG. 3. — Cretaceous ammonites of the d'Orbigny Collection of the National Museum of Natural History and Science (Museu Nacional de História Natural e da Ciência): A-D, Neolissoceras grasianum (d'Orbigny, 1840) in ventral (A), lateral (B) and oral (C) views, and original label (D): Nº 357/Ammonites grasanus (d'Orb), Andar 17º Neocomiense, Terreno Cretaceo, Localidade S.t Julien (Hautes Alpes); E-G, Pleurohoplites (Pleurohoplites) renauxianus (d'Orbigny, 1840) in lateral (E) and ventral (F) views, and original label (G): Nº 464/Ammonites Renauxianus (d'Orb), Andar 20º Cenomaniense, Terreno Cretaceo, Localidade Mont-Blainville (Meuse); H-K, Acanthoceras rhotomagense (Brongniart, 1822) in oral (H), lateral (I) and ventral (J) views, and original label (K): Nº 463/Ammonites rhotomagensis (Lamarck), Andar 20º Cenomaniense, Terreno Cretaceo, Localidade Rouen (Seine inf.re). Scale bar: 2 cm.
FIG. 2 in The d'Orbigny Palaeontological Collection of the National Museum of Natural History and Science, Lisbon, Portugal: Historical perspective and revision of Cretaceous Cephalopoda
FIG. 2. — Cretaceous nautiloid and ammonites of the d'Orbigny Collection of the National Museum of Natural History and Science (Museu Nacional de História Natural e da Ciência): A-C, Angulithes triangularis de Montfort, 1808 in oral (A) and lateral (B) views, and original label (C): Nº 459/Nautilus triangularis (Montf), Andar 20º Cenomaniense, Terreno Cretaceo, Localidade Fouras (Charente inf.re); D-G, Phylloceras (Hypophylloceras) tethys (d'Orbigny, 1840) in ventral (D), lateral (E) and oral (F) views, and original label (G): Nº 360/Ammonites Tethys (d'Orb), Andar 17º Neocomiense, Terreno Cretaceo, Localidade Arredores de [environs of] Sisteron (Basses Alpes); H-K, Ptychophylloceras (Semisulcatoceras) semisulcatum (d'Orbigny, 1840) in ventral (H), lateral (I) and oral (J) views, and original label (K): Nº 359/Ammonites semisulcatus (d'Orb), Andar 17º Neocomiense, Terreno Cretaceo, Localidade Sisteron (Basses Alpes). Scale bar: 2 cm.
Figure 3 in Caddisflies (Trichoptera) of the Buffalo National River, Arkansas
Figure 3. Seriation plot for caddisfly (Trichoptera) genera collected from the Buffalo National River, Arkansas. Monte Carlo mean = 0.60, Z = −2.07, p = 0.04. The longitudinal gradient of the Buffalo River runs from left to right for collection sites.
Figure 2 in Caddisflies (Trichoptera) of the Buffalo National River, Arkansas
Figure 2. Dendrogram for hierarchical cluster analysis using Bray-Curtis distance measure for SØrenson's similarity index values among sites having 15 or more caddisfly species.
Figure 1 in Caddisflies (Trichoptera) of the Buffalo National River, Arkansas
Figure 1. The Buffalo National River, Arkansas showing collection sites. Sites are described in the Methods.
Figures 5–7 in Caddisflies (Trichoptera) of the Buffalo National River, Arkansas
Figures 5–7. Diversity of caddisflies (Trichoptera) collected from the Buffalo National River, Arkansas. 5) Families. 6) Genera. 7) Species.
EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
<p><strong>Eighteen high-resolution ecological descriptors of vegetation and terrain for Denmark "EcoDes-DK15"</strong></p> <p>The data are derived from the nationwide airborne laser scanning / LiDAR campaign of Denmark from 2014-2015 provided by the Danish Agency for Data Supply and Efficiency.</p> <p><strong>Update: EcoDes-DK15 v1.1.0 (4 Dec. 2021)</strong></p> <p>Following the recommendations and feedback during the first round of peer-review, we updated the EcoDes-DK processing pipeline and EcoDes-DK15 data set. The key changes are:</p> <ul> <li>New version of the source data optimised to contain only point data collected before the end of 2015. The source data for EcoDes-DK15 v1.0.0 unintentionally contained data from 2018. The new source data is documented <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/source_data/readme.md">here</a>.</li> <li>New "date_stamp_*" auxiliary variables that illustrate the survey dates for the vegetation points in each cell. See updated descriptor documentation <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/descriptors.md">here</a>.</li> <li>Re-scaling of "solar_radiation" variable to MJ per 100 m<sup>2</sup> per year.</li> </ul> <p><strong>Detailed documentation for the data set can be found in the accompanying manuscript and GitHub repository:</strong></p> <p>Assmann, J. J., Moeslund, J. E., Treier, U. A., and Normand, S.: EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set, Earth Syst. Sci. Data Discuss. [preprint], <a href="https://doi.org/10.5194/essd-2021-222">https://doi.org/10.5194/essd-2021-222</a>, in review, 2021<strong><em>.</em></strong></p> <p><a href="https://github.com/jakobjassmann/ecodes-dk-lidar">https://github.com/jakobjassmann/ecodes-dk-lidar</a></p> <p>Files are compressed using bzip2 and tar archiving. The compressed archives can be extracted using commonly available archiving tools (for example <a href="https://www.7-zip.org/">7z </a>on Windows, the archiving tool on macOS and bz2 on Linux). </p> <p>A small example "teaser" subset (5 MB) of the data set, covering the Husby Klit area from Figure 7 in the manuscript, can be found <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/manuscript/figure_7/EcoDes-DK15_teaser.zip">here</a>.</p> <p><strong>Abstract (from manuscript)</strong></p> <p>Biodiversity studies could strongly benefit from three-dimensional data on ecosystem structure derived from contemporary remote sensing technologies, such as Light Detection and Ranging (LiDAR). Despite the increasing availability of such data at regional and national scales, the average ecologist has been limited in accessing them due to high requirements on computing power and remote-sensing knowledge. We processed Denmark’s publicly available national Airborne Laser Scanning (ALS) data set acquired in 2014/15 together with the accompanying elevation model to compute 70 rasterized descriptors of interest for ecological studies. With a grain size of 10 m, these data products provide a snapshot of high-resolution measures including vegetation height, structure and density, as well as topographic descriptors including elevation, aspect, slope and wetness across more than forty thousand square kilometres covering almost all of Denmark’s terrestrial surface. The resulting data set is comparatively small (~94 GB, compressed 16.8 GB) and the raster data can be readily integrated into analytical workflows in software familiar to many ecologists (GIS software, R, Python). Source code and documentation for the processing workflow are openly available via a code repository, allowing for transfer to other ALS data sets, as well as modification or re-calculation of future instances of Denmark’s national ALS data set. We hope that our high-resolution ecological vegetation and terrain descriptors (EcoDes-DK15) will serve as an inspiration for the publication of further such data sets covering other countries and regions and that our rasterized data set will provide a baseline of the ecosystem structure for current and future studies of biodiversity, within Denmark and beyond.</p> <p><strong>Acknowledgements (from manuscript)</strong></p> <p>We would like to thank Andràs Zlinszky for his contributions to earlier versions of the data set, Charles Davison for feedback regarding data use and handling, as well as Matthew Barbee and Zsófia Koma for sharing their insights on the source data merger and Zsófia’s script to generate summary statistics for the different versions of the DHM point clouds. Funding for this work was provided by the Carlsberg Foundation (Distinguished Associate Professor Fellowships) and Aarhus University Research Foundation (AUFF-E-2015-FLS-8-73) to Signe Normand (SN). This work is a contribution to SustainScapes – Center for Sustainable Landscapes under Global Change (grant NNF20OC0059595 to SN).</p>
Dataset: Cross-Sectional National Survey on Risk Perception and Tourism Behaviour (SNF NRP 78)
<p>The data set contains scales (<em>rating items</em>) on the willingness of the Swiss resident population to take risks in connection with touristic travel during the coronavirus pandemic. The data includes a selection of items of the <em>Domain-Specific Risk-Taking Scale</em> (<em>DOSPERT) </em>(Weber et al., 2002). The data contains measures of the <em>health belief model</em> (<em>HBM</em>; Rosenstock, 1960, see also Champion & Skinner, 2008) that is used both in health research and in tourism research to explain and predict the preventive health behaviour of individuals. Furthermore, the data covers all three elements of the t<em>heory of planned behaviour (</em>Ajzen, 1991). This is a representative data set for the Swiss population aged 18 and above. A trilingual and national survey of the Swiss resident population was carried out in the period from March to May 2021. A letter of invitation to participate in the study was sent by post to a total of 4,530 randomly selected persons residing in Switzerland. The address data was provided by the Federal Statistical Office (BfS). Of the total of 4,530 people contacted, 164 were reported as unreachable (no longer at the address, deceased, or due to old age). A total of 1,683 persons participated in the survey. This corresponds to a response rate of 39%. The structure of the respondents corresponds to that of the Swiss resident population 18 years of age and older with regard to gender, age, and language region.</p> <p>Ajzen, I. (1991). The theory of planned behavior. <em>Organizational Behavior and Human Decision Processes</em>, <em>50</em>(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T</p> <p>Weber, E., Blais, A.-R., & Betz, N. E. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. <em>Journal of Behavioral Decision Making</em>, <em>15</em>, 263–290. https://doi.org/10.1002/bdm.414</p> <p>Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. Rimer, & K. Viswanath (Eds.), <em>Health behavior and health education: Theory, research, and practice</em> (4th ed., pp. 45–65). San Francisco, CA: Jossey-Bass.</p> <p>Rosenstock, I. M. (1960). What research in motivation suggests for public health. <em>American Journal of Public Health, 50</em>(3), 295-302. https://doi.org/10.2105/AJPH.50.3_Pt_1.295</p>
Diabetes-related excess mortality in Mexico: a comparative analysis of national death registries between 2017-2019 and 2020
<p>Dataset to replicate the article "Diabetes-related excess mortality in Mexico: a comparative analysis of national death registries between 2017-2019 and 2020" available in MedRxiv at: https://www.medrxiv.org/content/10.1101/2022.02.24.22271337v1</p> <p>Code available at: https://github.com/oyaxbell/diabetes_excess</p>
APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape
APPENDIX 2. — Distribution maps of all the Cholevinae species collected in the MSS of the Sierra de Guadarrama National Park, except for Choleva (Cholevopsis) punctata Brisout, 1866.
FIG. 6 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape
FIG. 6. — Relation between the pronotum width (PWmid) and the pronotum length (PL) of both sexes of Choleva (Cholevopsis) punctata Brisout, 1866.
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.