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Figures 1–6 in On R. Kinzelbach's euscorpiid specimens from Turkey deposited in the Naturhistorisches Museum Mainz, Germany (Scorpiones: Euscorpiidae)
Figures 1–6: Specimens deposited in NMM including labels. Figures 1–2. Female Alpiscorpius phrygius. Figures 3–4. Juvenile Euscorpius avcii. Figures 5–6. Two males Euscorpius koci.
Data and R code from: Relics of beavers past: time and population density drive scale-dependent patterns of ecosystem engineering
<p><span>Like many ecological processes, natural disturbances exhibit scale-dependent dynamics that are largely a function of the magnitude, frequency, and scale at which they are assessed. Ecosystem engineers create patch-scale disturbances that affect ecological processes, yet we know little about how these effects scale across space or vary through time. Here, we investigate how patch disturbances by beavers (<i>Castor canadensis</i>), ecosystem engineers renowned for their pond-creation behavior, affect ecological processes across space and time. We evaluated how beaver population recovery influenced surface water dynamics in relation to population density over 70 years across multiple spatial scales (pond, watershed, and regional) in northern Minnesota. Surface water area was positively related to population density at the watershed scale; however, despite variation in beaver densities (and therefore surface water area) at the watershed scale, regional-scale surface water area was stable through time. This stability appears to have been driven by asynchronous beaver density fluctuations among watersheds, combined with the increasing importance of abandoned ponds. Beavers initially created and occupied larger ponds with greater surface water area, but through time shifted towards occupying smaller ponds. As ponds accumulated on the landscape proportionally more surface water was stored within abandoned ponds, which offset the smaller size of occupied ponds. Beaver engineering—driven by density-dependent mechanisms and the legacy effects from abandoned ponds—not only follows general patterns of patch disturbance dynamics by creating a spatial mosaic of patches, but the organism-created mosaic also appears to generate ecological stability at greater spatial scales. We suggest restoring beavers to landscapes is a viable method for increasing surface water storage and will ultimately help advance numerous conservation and rewilding objectives. Our study demonstrates that ecosystem engineering effects can be scale-dependent, indicating researchers should evaluate the ecological impact of engineers across diverse spatiotemporal scales to fully understand their functional roles in ecosystems.</span></p>
Low carbon energy R&D portfolios that are robust when models and experts disagree
<p>This data archive contains model runs and data analysis files to the research article</p> <p><strong>Low carbon energy R&D portfolios that are robust when models and experts disagree</strong></p> <p>by</p> <p>Franklyn Kanyako, Erin Baker, David Anthoff</p> <p> </p> <p><strong>All Model output and Non-Dominated Portfolios</strong>: This contains all expected values of all model outputs, used to determine the non-dominated portfolios under each policy.</p> <p><strong>Large Scale Expert Elicitation of R&D Investment</strong>: Contains samples of expert elicitation from each elicitation team.</p> <p> </p> <p> </p>
Fig. 3 in Typifications of Rhynchospora hookeri Boeck., Rhynchospora longisetis R. Br. and Rhynchospora rubra (Lour.) Makino (Cyperaceae)
Fig. 3. – Neotypus of Rhynchospora rubra (Lour.) Makino. [Sangita Dey 9923, CAL] [© Central National Herbarium, Howrah, India. Reproduced with permission]
Fig. 2 in Typifications of Rhynchospora hookeri Boeck., Rhynchospora longisetis R. Br. and Rhynchospora rubra (Lour.) Makino (Cyperaceae)
Fig. 2. – Lectotypus of Rhynchospora longisetis R. Br. [Banks s.n., BM] [© Natural History Museum, London. Reproduced with permission]
Fig. 6. – Primulina spec. nov. A in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 6. – Primulina spec. nov. A. Plant in natural habitat; B. Plants with cymes and flower; C. Cymes and lateral view of flowers; D. Bracts; E. Frontal view of flower; F. Capsules. [Photos: Jian Li, Fang Wen and Xin Hong]
Fig. 2. – Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo. A in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 2. – Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo. A. Natural hillside habitat; B. Natural habitat; C. Plant in natural habitat; D. Plant with cymes and flowers in cultivation; E. Frontal view of cyme and flowers; F. Anatomical dissections of the cyme, showing bracts, pistil and opened corolla; G. Lateral view of flower, calyx and pistil; H. daxial and abaxial views of calyx lobes. [D-H: Fang Wen 100803, IBK] [Photos: A-C: Fang Wen; D-E: Shi-Liang Mo; F-H: Wen-Hong Lin]
Fig. 5 in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 5. – Primulina dryas (Dunn) Mich. Möller &. Weber and P. napoensis (Z. Y. Li) Mich. Möller &. Weber. A-D: P. dryas. A. Habit; B. Cyme; C. Frontal view of flower and stigma; D. Capsule. E-H: P. napoensis. E. Habit; F. Cyme; G. Frontal view of flower; H. Stigma. [Photos: A-B, D-H: Fang Wen; C: Peter Man]
Fig. 1. – Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo. A in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 1. – Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo. A. Habit; B. Opened corolla with stamens and staminodes; C. One calyx lobe; D. Calyx and pistil. [Fang Wen 100803, IBK] [Drawing: Wen-Hong Lin]
Fig. 4 in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 4. – Primulina eburnea (Hance) Y. Z. Wang.. Plant in natural habitat; B. Plants with cymes and flower buds; C. Fully extended bracts and flower buds; D. Frontal view of flower; E. Lateral view of flower; F. nthers and filaments. [Photos: Fang Wen]
Fig. 3 in Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (Gesneriaceae), a new species from South China
Fig. 3. – Distribution of Primulina dongguanica F. Wen, Y. G. Wei & R. Q. Luo (H), P. eburnea (Hance) Y. Z. Wang (in the elliptical area), P. dryas (Dunn) Mich. Möller & A. Weber (s), P. napoensis (Z. Y. Li) Mich. Möller &. Weber (F) and P. spec. nov. (u) in China.
Fig. 2. – Centropogon pataensis J. R. Grande & W. Meier. A in Novedades taxonómicas en Campanulaceae neotropicales I: dos nuevas especies de Centropogon C. Presl de Venezuela
Fig. 2. – Centropogon pataensis J. R. Grande & W. Meier. A. Hábito; B. Flor; C. Tubo anteral. [A: Milliken & al. 78, VEN; B-C: Meier & Elsner 6677, VEN] [Dibujo: B. Manara]
Fig. 1. – Centropogon carupanensis J. R. Grande & W. Meier. A in Novedades taxonómicas en Campanulaceae neotropicales I: dos nuevas especies de Centropogon C. Presl de Venezuela
Fig. 1. – Centropogon carupanensis J. R. Grande & W. Meier. A. Hábito; B. Tubo anteral; C. Semilla; D. Cáliz en antesis; E. Flor en antesis. [A-D: Meier & al. 12002, VEN; E: Manara s.n., VEN] [Dibujo: B. Manara]
Supplementary Material 1: Original dataset collected during the tracking and mark-release-recapture study and R script used to analyse the data
<p>The original dataset collected in northern Serbia during butterfly behavioural study on two species, <em>Phengaris teleius</em> and <em>Polyommatus icarus</em>. The dataset is provided in two separate CSV files for mark-release-recapture study and for butterfly tracking study. In addition, R script used to preopare the dataset and fit the models is given.</p>
Fig. 70. Rickia spp. A–C. R. huggertii Balazuc. A–B. Mature thalli. C in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 70. Rickia spp. A–C. R. huggertii Balazuc. A–B. Mature thalli. C. Immature thallus showing the trichogyne scar (ts) and the antheridium (an). – D. R. peYerimhoffii Maire. Mature thallus. – E. R. proteini T.Majewski. Immature thallus at left and mature thallus on the right. Scale bars: A–B, D–E = 50 µm; C = 20 µm. Photographs from slides ZMUC C-F-122781 (A–B), ZMUC C-F-122862 (C), ZMUC C-F-122656 (D), ZMUC C-F-122485 (E).
Fig. 17. Rhachomyces spp. A–B. R in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 17. Rhachomyces spp. A–B. R. canariensis Thaxt. Mature thalli from Trechus obtusus (A) and Epaphius secalis (B). Appendages type "c" are labelled in A (*). – C–D. R. furcatus (Thaxt.) Thaxt. Mature thalli with appendages of type "c" labelled in D (*). – E–F. R. lasiophorus (Thaxt.) Thaxt. Mature thalli. F. Short form from tarsi. Scale bars: 50 µm. Photographs from slides ZMUC C-F-122765 (A), ZMUC C-F-123438 (B), ZMUC C-F-122521 (C–D), ZMUC C-F-122906 (E–F).
Datasets and R code for: Brood as booty: The effect of colony size and resource value in social insect contests
<p><strong>From the Manuscript: </strong>Animals engage in contests for access to resources like food, mates, and space. Intergroup contests between groups of organisms have received little attention, and it remains unresolved what information groups might use collectively to make contest decisions. We staged whole-colony contests using ant colonies (<em>Temnothorax rugatulus</em>), which perceive conspecific colonies as both a threat and resource from which to steal brood. We recorded individual behaviors and used demographic characteristics as proxies for resource value (number of brood items) and fighting ability (number of workers). We found that ants altered their fighting effort depending on the relative number of workers of their opponent. While the proximate mechanism for this ability remains uncertain, we found that colonies increased fighting when their opponent had relatively more brood, but not if opposing colonies had relatively many more workers. This suggests that ant colonies can use information about opposing colonies that shapes contest strategies. Further, the behavior of opposing colonies were strongly correlated with each other despite colony size differences ranging from 4-51%, consistent with the hypothesis that colonies can use opponent information. The behavior of a distributed, collective system of many individuals, like a eusocial insect colony, thus fits several predictions of contest models designed for individuals if we consider the gain and loss of worker ants analogous to energetic costs accrued during typical dyadic contests.</p>
Dust extinction curves: KMH94 R_V=5.5 model
<p>This dataset is based on the models described in <a href="https://ui.adsabs.harvard.edu/abs/2018RNAAS...2..188B">Benson (2018)</a>.</p> <p><strong>Dust Properties</strong></p> <p>Dust grain properties are taken from <a href="http://adsabs.harvard.edu/abs/1994ApJ...422..164K">Kim, Martin, and Hendry (1994)</a>, specifically their model with with R<sub>V</sub>=3.1 and a full scattering calculation.</p> <p><strong>Stellar Geometry</strong></p> <p>Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical <a href="http://adsabs.harvard.edu/abs/1990ApJ...356..359H">Hernquist (1990)</a> profiles.</p> <p><strong>Dust Geometry</strong></p> <p>Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.</p>
Dust extinction curves: KMH94 HG R_V=5.5 model
<p>This dataset is based on the models described in <a href="https://ui.adsabs.harvard.edu/abs/2018RNAAS...2..188B">Benson (2018)</a>.</p> <p><strong>Dust Properties</strong></p> <p>Dust grain properties are taken from <a href="http://adsabs.harvard.edu/abs/1994ApJ...422..164K">Kim, Martin, and Hendry (1994)</a>, specifically their model with with R<sub>V</sub>=3.1 and Henyey-Greenstein scattering.</p> <p><strong>Stellar Geometry</strong></p> <p>Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical <a href="http://adsabs.harvard.edu/abs/1990ApJ...356..359H">Hernquist (1990)</a> profiles.</p> <p><strong>Dust Geometry</strong></p> <p>Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.</p>
Dust extinction curves: Draine R_V=5.5 model
<p>This dataset is based on the models described in <a href="https://ui.adsabs.harvard.edu/abs/2018RNAAS...2..188B">Benson (2018)</a>.</p> <p><strong>Dust Properties</strong></p> <p>Dust grain properties are taken from <a href="http://adsabs.harvard.edu/abs/2003ARA%26A..41..241D">Draine (2003)</a> - specifically their model with R<sub>V</sub>=5.5.</p> <p><strong>Stellar Geometry</strong></p> <p>Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical <a href="http://adsabs.harvard.edu/abs/1990ApJ...356..359H">Hernquist (1990)</a> profiles.</p> <p><strong>Dust Geometry</strong></p> <p>Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.</p>
ScienceDex guides
Understand access before you commit
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.