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Fig. 3 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 3. Orientation, measurements, and ridge zones in Stenothecoides rasettii sp. nov. A. Ventral valve, exterior, showing orientation for measurements. B. Ventral valve, interior, showing peripheral and axial ridge zones, and approximated body cavity. Abbreviations: ax, auricular axis; az, axial ridge zone; bc, body cavity; L, valve length; ll, left lobe; lx, lobe axis; pz, peripheral ridge zone; rl, right lobe; vx, valve axis; W, valve width.
Fig. 2 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 2. Stratigraphic and geographic distribution of sample localities. A. Stratigraphic position of localities 1–3 indicated with stars. Thicknesses of units at Fossil Ridge/Mount Field from Fletcher and Collins (1998) and Mount Stephen northwest shoulder from Christopher J. Collom and PAJ (unpublished data); stratigraphic units after Collom et al. (2009), Odaray Mountain section from Streng et al. (2016). Helcionellid icons show known silicified assemblages. B. Geographic distribution of localities 1–3 relative to the Cathedral escarpment. C. Known stratigraphic distribution of stenothecoids in British Columbia, Utah, and Nevada. Stratigraphy modified from Johnston et al. (2009a). D. General location of study area in western Canada. Abbreviations: CC, Campsite Cliff Shale Member; Fm., Formation; KH, Kicking Horse Shale Member; Loc, Locality; MF, Monarch Formation; Mt., Mount or Mountain; S., Stenothecoides; WA, Wapta Member; WL, Wash Limestone Member; WQ, Walcott Quarry Shale Member; YR, Yoho River Limestone Member.
Fig. 9 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 9. Bivariate plots of length and width and best fit lines of Stenothecoides rasettii sp. nov., Burgess Shale Formation, Locality 2 (tectonic strain is evident in some specimens at Locality 1, which are excluded from this plot); Stenothecoides elongata (Walcott, 1884), Wheeler Formation, Drum Mountains, Utah, USA, Locality 8 of Robison (1964); Stenothecoides cf. elongata, Burgess Shale Formation, Locality 3; Stenothecoides cf. elongata, Mount Whyte Formation, Ross Lake, Mount Stephen, and Mount Field, Yoho National Park, Canada (Rasetti 1954, 1957).
Fig. 13 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 13. Stylized anatomical reconstruction of the stenothecoid pan-brachiopod Stenothecoides rasettii sp. nov. A. Dorsal valve, plan view. B. Longitudinal section slightly off the midline of the valves and normal to commissure. Colors: black in A, shell outline; black in B, valves and juxtaposed apical bosses; green, pedicle, inserting on posterior surface of apical boss and in cardinal troughs; red, muscles originating on anterior surface of apical boss and attaching to the anterior body wall; turquoise, visceral mass; orange, lophophore; grey, peripheral and axial furrow zones; short black lines, cilia in grooves between mantle canals; blue arrows, inferred inhalant and exhalant water currents; dotted areas, coelomic fluid; olive green, setae omitted in A). Lophophore modelled after Heliomedusa (Chen et al. 2007).
Fig. 8 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 8. Stenothecoid pan-brachiopod Stenothecoides elongata (Walcott, 1884), middle Cambrian, Drumian Stage stratotype, Drum Mountains, western Utah (USA), Locality 8 (Robison 1964), internal shell features. Dorsal vs. ventral valves uncertain. A, B. TMP 2021.022.0001 (A) and TMP 2021.022.0002 B), valves preserving peripheral furrows; note in A a prominent cardinal sulcus. C. TMP 2021.022.0003, valve interior, showing a cardinal pseudosocket. D. TMP 2021.022.0004, valve interior, preserving a nearly symmetrical apical area and conspicuous posterior median opening. E–G. Variation of apical areas of valve interiors. TMP 2021.022.0005 (E), TMP 2021.022.0006 (F), TMP 2021.022.0007 (G).
Fig. 12 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 12. Microstructure in the stenothecoid pan-brachiopod Stenothecoides spp. and co-occurring rhynchonelliformean brachiopods. A–C. Stenothecoides rasettii sp. nov., middle Cambrian, Burgess Shale Formation, Yoho National Park, Canada, Locality 1. A. TMP 2008.024.1142, fragmentary valve in interior view (A1), detail showing silica rods imbricated and inclined toward valve margin (A2). B. TMP 2008.024.1150, ventral valve in exterior view (B1), showing silica rods oriented with proximal ends of rods overlapping distal ends of preceding rods in posterior third of valve, but seemingly reversing orientation in posterior third of valve (B2). C. TMP 2008.024.1141 (same specimen and valve area as in Fig. 11C1, inner box) detail showing silica rods. D, E. Stenothecoides elongata (Walcott, 1884), Drumian Stage stratotype, Drum Mountains, western Utah (USA), Locality 8 (Robison 1964), external shell features. D. TMP 2021.022.0008, ventral(?) valve in exterior view (D1), detail of anterior end (D2), arrows show incompletely silicified radial rods. E. TMP 2021.022.0009, dorsal(?) valve, anterior end showing silicified outer shell surface with fine radial elements extending across growth varices (black arrows) and apparently shorter radial rods in valve sublayers (white arrows). F, G. Rhynchonelliformean brachiopods, silicified microstructure, Burgess Shale Formation, Canada, Locality 1. F. Tomteluva sp., TMP 2008.024.1151, silicified shell in exterior view (F1), posterior end is broken; anterior is to the right; detail showing orientation of silica rods (F2), anterior is to the left. G. Fragmentary nisusiid, TMP 2008.024.1152, silicified shell in interior view (G1), detail showing imbricated silica rods (G2). A, C, F, SEM images and B, D, E, G, light microscope images.
Fig. 6 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 6. Stenothecoid pan-brachiopod Stenothecoides rasettii sp. nov., middle Cambrian, Burgess Shale Formation, Yoho National Park, Canada, Locality 1 A, D, E, G, H) and Locality 2 (B, C, F). A. TMP 2008.024.1140, ventral valve in exterior view. B. TMP 2002.083.0179, ventral valve in exterior (B1) and interior (B2) views. C. TMP 2002.083.0180, dorsal valve in exterior (C1) and interior (C2) views. D. TMP 2008.024.1145, dorsal valve in interior magnified, D) and exterior (D) views. E. TMP 2008.024.1141, ventral valve in interior (E) and exterior (E2) views. F. TMP 2002.083.0181, dorsal 1 2 1 valve in exterior (F1) and interior (F2) views. G. TMP 2008.024.1146, dorsal valve in posterior (G1) and exterior (G2) views. H. TMP 2008.024.1139, ventral valve in interior view.
Immunotherapy datasets associated with TimiGP-Response pan-cancer TIME landscape
<p>This version includes preprocessed single-cell RNA-seq data in the TimiGP-Response study.</p> <p>Please refer to https://github.com/CSkylarL/MSofTimiGP-Response for more information.</p> <p>Please cite our paper if you use this data: Li, C. et al. TimiGP-Response: the pan-cancer immune landscape associated with response to immunotherapy. bioRxiv, 2024.2006.2021.600089, doi:10.1101/2024.06.21.600089 (2024).</p> <p> </p> <p> </p>
CDR deployment in Europe, NEGEM-scenario results from Pan-European TIMES-VTT energy system modelling as reported in Markkanen et al. (2024)
<p>This dataset includes cumulative and yearly carbon dioxide removal (CDR) deployment in NEGEM-scenarios for Europe.</p> <p>The results originate from Pan-European TIMES-VTT energy system model and are published in Markkanen et al. (2024), manuscript submitted to Environmental Research Letters, Focus issue on Carbon Dioxide Removals on 31/05/2024. </p> <p>Regional coverage: EU-31. Temporal coverage: until 2060. </p> <p>Cumulative values are reported for the period 2025-2050. Yearly values are reported for 2010, 2020, 2030, 2040, 2050 and 2060.</p> <p>Negative emission technologies and practises (NETPs) included: bioenergy with carbon capture and storage (BECCS), biochar, direct air carbon capture and storage (DACCS), enhanced weathering (EW), forestry (A/R; afforestation and reforestation) and soil carbon sequestration (SCS). Additionally, sum of total CDR is reported, which is the sum of NETPs. For the yearly data, absolute CO2 emissions and net CO2 emissions are reported. </p> <p>Data covers six (6) NEGEM-scenarios, TEC, ENV and SEC, and their limited variants, which exclude the use of EW and SCS. Storylines and main assumptions for NEGEM-scenarios are reported in NEGEM Deliverable 8.2 Quantifying the NEGEM pathways and impact assessments with global TIMES-VTT and PET-VTT IAMs by <a href="https://www.negemproject.eu/wp-content/uploads/2023/11/NEGEM_D8.2_NEGEM-scenarios.pdf" target="_blank" rel="noopener">Lehtilä et al. (2023).</a></p>
Fig. 1. Gelanoglanis pan, MZUSP 114669 in Miniature catfishes of the genus Gelanoglanis (Siluriformes: Auchenipteridae): monophyly and the description of a new species from the upper rio Tapajós basin, Brazil
Fig. 1. Gelanoglanis pan, MZUSP 114669, holotype, male, 24.7 mm SL; Brazil, Mato Grosso State, Itaúba, rio Teles Pires, tributary to upper rio Tapajós basin; lateral views. Scale bar = 0.5 cm.
Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-05-01/2022-06-30): Reflectance bands
<h2><strong>Data Information</strong></h2> <p>This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-05-01/2022-06-30.</p> <h2><strong>As a Part of a Data Cube</strong></h2> <p>This data represents a subset of the <a href="../records/10776892">Time-series of Landsat-based Spectral Indices (EU, 30m) data cube</a>. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.</p> <ul> <li>To cite this dataset, refer to the DOI available on the landing page.</li> <li>To access other data layers in the data cube, use the navigation catalog on the landing page as well.</li> </ul> <h2><strong>Support</strong></h2> <p>If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a <a href="https://github.com/AI4SoilHealth/SoilHealthDataCube/issues">Github Issue</a>!</p>
Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2000-09-01/2000-10-31): Reflectance bands
<h2><strong>Data Information</strong></h2> <p>This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2000-09-01/2000-10-31.</p> <h2><strong>As a Part of a Data Cube</strong></h2> <p>This data represents a subset of the <a href="../records/10776892">Time-series of Landsat-based Spectral Indices (EU, 30m) data cube</a>. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.</p> <ul> <li>To cite this dataset, refer to the DOI available on the landing page.</li> <li>To access other data layers in the data cube, use the navigation catalog on the landing page as well.</li> </ul> <h2><strong>Support</strong></h2> <p>If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a <a href="https://github.com/AI4SoilHealth/SoilHealthDataCube/issues">Github Issue</a>!</p>
Рис. 2. Варианты преΑсказанной Αоменной структуры патогенраспознающих моΛекуΛ гемоцитов моΛΛюсков Planorbarius corneus. a — фибриногенпоΑобные беΛки, b — гаΛектины, c — F-Λектины. УсΛовные обозначения и сокращения, зΑесь и ΑаΛее: горизонтаΛьные красные поΛоски — сигнаΛьный пептиΑ, горизонтаΛьные розовые — обΛасть низкой сΛожности, вертикаΛьные синие поΛоски — трансмембранная обΛасть, FBG — фибриногеновый Αомен, FTP — Αомен фукоΛектина, EGF — Αомен эпиΑермаΛьного фактора роста, EGF_CA — каΛьцийсвязывающий EGF-поΑобный Αомен, PAN_AP — APPLE-поΑобный Αомен, SCAN — обΛасть, богатая Λейцином, GLECT — гаΛактозосвязывающий Λектин, CLECT — Λектин C-типа, Gal-bind — гаΛактозиΑ–связывающий Λектин, ML — MD-2- поΑробный Αомен распознавания ΛипиΑов Fig. 2. Variants of the predicted domain structure of pattern recognition molecules from hemocytes of Planorbarius corneus molluscs. a — fibrinogen-related proteins, b — galectins, c — F-lectins. Symbols and abbreviations (here and further): horizontal red stripes — signal peptide, horizontal pink stripes — a low complexity region, vertical blue stripes — transmembrane region, FBG — fibrinogen-related domain, FTP — fucolectin domain, EGF — epidermal growth factor-like domain, EGF_CA — calcium-binding EGF-like domain, PAN_AP — APPLE-like domain, SCAN — leucine rich region, Apple — APPLE domain, GLECT — galactose-binding lectin, CLECT — C-type lectin, Gal-bind — galactoside-binding lectin, ML — MD-2-related lipid-recognition domain in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 2. Варианты преΑсказанной Αоменной структуры патогенраспознающих моΛекуΛ гемоцитов моΛΛюсков Planorbarius corneus. a — фибриногенпоΑобные беΛки, b — гаΛектины, c — F-Λектины. УсΛовные обозначения и сокращения, зΑесь и ΑаΛее: горизонтаΛьные красные поΛоски — сигнаΛьный пептиΑ, горизонтаΛьные розовые — обΛасть низкой сΛожности, вертикаΛьные синие поΛоски — трансмембранная обΛасть, FBG — фибриногеновый Αомен, FTP — Αомен фукоΛектина, EGF — Αомен эпиΑермаΛьного фактора роста, EGF_CA — каΛьцийсвязывающий EGF-поΑобный Αомен, PAN_AP — APPLE-поΑобный Αомен, SCAN — обΛасть, богатая Λейцином, GLECT — гаΛактозосвязывающий Λектин, CLECT — Λектин C-типа, Gal-bind — гаΛактозиΑ–связывающий Λектин, ML — MD-2- поΑробный Αомен распознавания ΛипиΑов Fig. 2. Variants of the predicted domain structure of pattern recognition molecules from hemocytes of Planorbarius corneus molluscs. a — fibrinogen-related proteins, b — galectins, c — F-lectins. Symbols and abbreviations (here and further): horizontal red stripes — signal peptide, horizontal pink stripes — a low complexity region, vertical blue stripes — transmembrane region, FBG — fibrinogen-related domain, FTP — fucolectin domain, EGF — epidermal growth factor-like domain, EGF_CA — calcium-binding EGF-like domain, PAN_AP — APPLE-like domain, SCAN — leucine rich region, Apple — APPLE domain, GLECT — galactose-binding lectin, CLECT — C-type lectin, Gal-bind — galactoside-binding lectin, ML — MD-2-related lipid-recognition domain
Fig. 2 in High diversity and pan-oceanic distribution of deep-sea polychaetes: Prionospio and Aurospio (Annelida: Spionidae) in the Atlantic and Pacific Ocean
Fig. 2 Phylogenetic tree of Prionospio and Aurospio species obtained in the study based on mitochondrial 16S gene fragments. Individual specimens can be found in Supplement 2. Posterior probabilities shown next to the nodes (values below 0.8 are not shown). Bootstrap values are
Gaia data, Pan-STARRS photometry, and stream selection masks for the region around the GD-1 stream
<p>This file contains:</p> <ul> <li>relevant columns from Gaia DR2</li> <li>Pan-STARRS (PS1) photometry (grizy)</li> <li>de-reddened PS1 photometry (g0, r0, etc.)</li> <li>binary masks to apply to select out stars that pass our proper motion and color-magnitude diagram selection (pm_mask, gi_cmd_mask)</li> <li>a binary mask to apply to select out stars in the stream track defined in <a href="https://arxiv.org/abs/1805.00425">Price-Whelan & Bonaca (2018) </a>(stream_track_mask)</li> <li>GD-1 positional coordinates (phi1, phi2)</li> <li>Proper motions in the GD-1 coordinate system (pm_phi1_cosphi2, pm_phi2)</li> <li>Proper motions in the GD-1 coordinate system, corrected for solar reflex motion (pm_phi1_cosphi2_no_reflex, pm_phi2_no_reflex)</li> </ul> <p>To select out probable members of the GD-1 stream in, e.g., Python, use:</p> <pre><code class="language-python">from astropy.table import Table tbl = Table.read('gd1-with-masks.fits') tbl = tbl[tbl['pm_mask'] & tbl['gi_cmd_mask']]</code></pre> <p>To select out only stars within the stream track identified in <a href="https://arxiv.org/abs/1805.00425">Price-Whelan & Bonaca (2018)</a>, do:</p> <pre><code class="language-python">from astropy.table import Table tbl = Table.read('gd1-with-masks.fits') tbl = tbl[tbl['pm_mask'] & tbl['gi_cmd_mask'] & tbl['stream_track_mask']</code></pre> <pre> </pre>
Entrevista à Rádio Jovem Pan sobre segurança eletrônica nas eleições
<p>Entrevista à Rádio Jovem Pan sobre segurança eletrônica nas eleições. A entrevista foi realizada em 23/agosto/2018, as 18h. Entre os temas da entrevista estavam Criptografia, Segurança eletrônica e Blockchain.</p>
Distinguishing between pan assay interference compounds (PAINS) that are promiscuous or represent dark chemical matter - data set and prediction models
<p>Data sets of promiscuous PAINS (PROM_PAINS) and dark chemical matter PAINS (DCM_PAINS) are provided and support vector machine models built on the basis of original and balanced training data (see readme.txt).<br> </p>
Processed TCGA pan-cancer data set used in the I-Boost paper (Wong et al. 2019)
<p>This data set contains the clinical and genomics data for 1,420 subjects analyzed in the paper: Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms. <em>Genome Biology.</em> 2019. It contains data on time to death, cancer type, 4 clinical variables, expression of 12,434 genes, somatic mutation of 130 genes, expression of 305 miRNA, expression of 136 proteins or phospho-proteins, copy number of 216 DNA segments, and 497 gene expression modules. Data on time to death, clinical variables, somatic mutation, copy number variation, mRNA expression, and miRNA expression were derived from the pan-cancer data set at Synapse (syn2468297 at <a href="https://www.synapse.org/#!Synapse:syn2468297">https://www.synapse.org/#!Synapse:syn2468297</a>). The protein expression data were obtained from Broad GDAC Firehose (<a href="https://gdac.broadinstitute.org/runs/stddata__2016_01_28/">https://gdac.broadinstitute.org/runs/stddata__2016_01_28/</a>).</p>
PAN Plagiarism Corpus 2010 (PAN-PC-10)
<p>This corpus is outdated. Please use its successor PAN-PC-11: https://doi.org/10.5281/zenodo.3250095</p> <p>The PAN plagiarism corpus 2010 (PAN-PC-10) is a corpus for the evaluation of automatic plagiarism detection algorithms. For research purposes the corpus can be used free of charge.</p> <p>The PAN-PC-10 contains documents in which artificial plagiarism has been inserted automatically as well as documents in which simulated plagiarism has been inserted manually. The former have been constructed using a so-called random plagiarist, a computer program which constructs plagiarism according to a number of parameters, while the latter have been obtained with crowdsourcing via Amazon's Mechanical Turk.</p>
PAN Plagiarism Corpus 2009 (PAN-PC-09)
<p>This corpus is outdated. Please use its successor PAN-PC-11: https://doi.org/10.5281/zenodo.3250095</p> <p>The PAN plagiarism corpus 2009 (PAN-PC-09) is a corpus for the evaluation of automatic plagiarism detection algorithms. For research purposes the corpus can be used free of charge.</p> <p>The PAN-PC-09 contains documents in which artificial plagiarism has been inserted automatically. The plagiarism cases have been constructed using a so-called random plagiarist, a computer program which constructs plagiarism according to a number of random variables. The variables include the percentage of plagiarism in the whole corpus, the percentage of plagiarism per document, the length of a single plagiarized section, and the degree of obfuscation per plagiarized section.</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.