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FIG. 3 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 3. — Grallator olonensis Lapparent & Montenat, 1967: A, B, slab ULB-04D19 bearing the trackway T1-Go, as well as T2-Go; photograph (A) and interpretative sketch (B); C-E, track 04D19_A_4 (syntype) of the trackway T1-Go, photograph (C), DEM and false-colour depth map (D) and interpretative sketch (E); F-H, ULB- 04C11_A_6, photograph (F), DEM and false-colour depth map (G) and interpretative sketch (H). Scale bars: A, B, 20 cm; C-H, 2 cm.
FIG. 6 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 6. — "Anatopus palmatus" Lapparent & Montenat, 1967, that is here invalidated: A-C, ULB-04C15_B (holotype of "A. palmatus"), photograph (A), interpretative sketch of Lapparent & Montenat (1967: fig. 16A and pl.XII.3) (B), and our interpretation (C); D-F, ULB-04C15_C, photograph (D), interpretative sketch of Lapparent & Montenat (1967: fig. 16B1) (E), and our interpretation (F). Scale bars: 5 cm.
FIG. 13 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 13. — Other problematic tracks in Lapparent & Montenat 1967: A-C, Batrachopus isp., ULB-04C14_I, photograph (A), interpretative sketch of Lapparent & Montenat (1967) (B) ("Unnamed track n°1" in Lapparent & Montenat 1967: fig. 18), and our interpretation (C); D-F, Grallator cf. variabilis, ULB-04D22_A, photograph (D), interpretative sketch of Lapparent & Montenat (1967) (E) ("Unnamed track n°2" in Lapparent & Montenat 1967: fig. 18 and pl. XIII.5), and our interpretation (F). Scale bars: A-C, 1 cm; D-F, 5 cm.
FIG. 4 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 4. — Footprints from Le Veillon compared to tridactyl tracks from the Early Jurassic of the Causses Basin (based on data from Demathieu et al. 2002; Moreau et al. 2021) and the Early Jurassic of the eastern United States (based on data from Weems 1992, 2019; Gand et al. 2018): A, bivariate diagram L vs (L–D)/D; B, bivariate diagram L vs L/W. L in metres.
FIG. 2 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 2. — Measurements taken on tracks from the Lapparent collection: A, for crocodylomorph manus imprint; B, for crocodylomorph pes track; C, for dinosaur footprint. Abbreviations: L, length of footprint (for dinosaur tracks); LM, LP, length of manus and pes tracks, respectively (for crocodylomorph tracks); W, width of footprint (for dinosaur tracks); WM, WP, width of manus and pes tracks, respectively (for crocodylomorph tracks); LI, LII, LIII, LIV, LV, lengths of digits I, II, III, IV and V, respectively; D, length of the free part of digit III; I-V, I-IV, II-IV, divarication angles between digits I and V, digits I and IV, then digits II and IV, respectively.
FIG. 12 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 12. — Kayentapus isp.: A-C, track ULB-04C02_A (holotype of "Talmontopus tersi" that is here invalidated), photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C). Scale bars: 10 cm.
FIG. 9 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 9. — Eubrontes giganteus Hitchcock, 1845: A-C, track ULB-04D21_A (plaster cast of the holotype of "E. veillonensis" that is here invalidated), photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C). Scale bars: 10 cm.
FIG. 10 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 10. — Grallator minusculus (Hitchcock, 1858), Demathieu, Gand, Sciau & Freytet, 2002: A-C, track ULB-04C13_B (plaster cast of the holotype of "G. maximus" that is here invalidated), photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C); D-F, track ULB-04C10_B, photograph (D), DEM and false-colour depth map (E) and interpretative sketch (F). Scale bars: 10 cm.
FIG. 5 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 5. — Grallator variabilis Lapparent & Montenat, 1967: A-C, plaster cast of the holotype, ULB-04C08_D, photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C); D-F, paratype, ULB-04C05_A, photograph (D), DEM and false-colour depth map (E) and interpretative sketch (F); G-I, track ULB- 04C13_A, photograph (G), DEM and false-colour depth map (H) and interpretative sketch (I). Scale bars: 5 cm.
Рис. 2. ИЗобраЖениЯ Mactra sulcataria Deshayes in Reeve, 1854 в работах 19 в.: A – Reeve [1854, pl. 2, fig. 5]; B – Weinkauff [1881, Taf. 18, Fig. 3]; в списке литературы как: Küster, Weinkauff [1841–1884]. in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Рис. 2. ИЗобраЖениЯ Mactra sulcataria Deshayes in Reeve, 1854 в работах 19 в.: A – Reeve [1854, pl. 2, fig. 5]; B – Weinkauff [1881, Taf. 18, Fig. 3]; в списке литературы как: Küster, Weinkauff [1841–1884].
FireCaster Wildland Fire Fuels Database for Corsican - Mediterranean Forest stand types
<p>This database includes wildland fuels data for Mediterranean basin vegetation stands types and in particular for those in Corsica, for fire/forest management, risk assessment and decision-support purposes. It gathers together some of the most common input parameters needed by wildfire’s models at several vegetation scales (i.e., stand, elements, particles). It has been conceived by using a layering approach, this is, assuming that a vegetation stand type is constituted by one or more structurally distinct pseudo-homogenous layers of vegetation. Vegetation stand types considered are based on the fuel classification and mapping of the BDForêt® <em>2.0 – Corsica.</em> Fuel attributes have been defined to be meaningful at regional/landscape scales and are representative of stand-level characteristics. National Forest Inventory (NFI) data have been mainly used for determining the fuel attributes for forest stand types. The building methods and the different data sources have been detailed in a paper which is under review.</p> <p> The attached dataset consists of two tables and one text document:</p> <p> - The first table (<em>FuelLayersData.csv</em>) contains fuel layers and fuel elements attributes for each vegetation stand type. The table has 15 columns. The first one (<em>CODE_TFV</em>) corresponds to the code assigned to each vegetation stand type following the BDForêt®<em> </em>nomenclature. Next columns, refer to the layer numbering, the stratum of the layer and the species scientific name. After that, next six columns correspond to the layer attributes and four columns correspond to the fuel element attributes. The last column is the diameter at breast height (DBH) for canopy layers. The empty cells in the table indicate that the corresponding attribute is not applicable for this particular layer.</p> <p> - The second table (<em>FuelParticlesData.csv</em>) contains the particle attributes, this is, the surface-to-volume ratio, particles density and low heat content.</p> <p> - The text document (<em>StandTypesDescription.docx</em>) is derived from BDForêt®<em> version 2.0 – Corsica</em> (https://geo.isula.corsica/wp-content/uploads/2021/01/descriptif-contenu-bd_foret-IGN.pdf) and contains a short description of the different stand types considered according to the CODE_TFV.</p> <p>This work was supported by the Agence Nationale de la Recherche, France (grant number ANR-16-CE04-0006 FIRECASTER) and by H2020-EU.3.5. Programme (FIRE-RES, Grant agreement ID: 101037419).</p> <p> </p> <p>Pérez-Ramirez Y, Ferrat L, Filippi JB. (2024) Wildland Fire Fuels Database for Corsican – Mediterranean Forest stand types. Forest Ecology and Management, 565, 122002.</p>
CONCEPT-DIABETES DATA MODEL TO ANALYSE HEALTHCARE PATHWAYS OF TYPE 2 DIABETES
<p><strong>Technical notes and documentation on the common data model of the project CONCEPT-DM2. </strong></p> <p>This publication corresponds to the Common Data Model (CDM) specification of the CONCEPT-DM2 project for the implementation of a federated network analysis of the healthcare pathway of type 2 diabetes, version v0.2.0.</p> <p><strong>Aims of the CONCEPT-DM2 project: </strong></p> <p>General aim: To analyse chronic care effectiveness and efficiency of care pathways in diabetes, assuming the relevance of care pathways as independent factors of health outcomes using data from real life world (RWD) from five Spanish Regional Health Systems.</p> <p>Main specific aims:</p> <ul> <li>To characterize the care pathways in patients with diabetes through the whole care system in terms of process indicators and pharmacologic recommendations</li> <li>To compare these observed care pathways with the theoretical clinical pathways derived from the clinical practice guidelines</li> <li>To assess if the adherence to clinical guidelines influence on important health outcomes, such as cardiovascular hospitalizations.</li> <li>To compare the traditional analytical methods with process mining methods in terms of modeling quality, prediction performance and information provided.</li> </ul> <p><strong>Study Design: </strong>It is a population-based retrospective observational study centered on all T2D patients diagnosed in five Regional Health Services within the Spanish National Health Service. We will include all the contacts of these patients with the health services using the electronic medical record systems including Primary Care data, Specialized Care data, Hospitalizations, Urgent Care data, Pharmacy Claims, and also other registers such as the mortality and the population register.</p> <p><strong>Cohort definition: </strong>All patients with code of Type 2 Diabetes in the clinical health records</p> <ul> <li>Inclusion criteria: patients that, at 2017-01-01 or during the follow-up from 2017-01-01 to 2022-12-31 had active health card (active TIS - tarjeta sanitaria activa) and code of type 2 diabetes (T2D, DM2 in spanish) in the clinical records of primary care (CIAP2 T90 in case of using CIAP code system)</li> <li>Exclusion criteria: <ul> <li>patients with no contact with the health system from 2017-01-01 to 2022-12-31</li> <li>patients that had a T1D (DM1) code opened after the T2D code during the follow-up.</li> </ul> </li> <li>Study period. From 2017-01-01 to 2022-12-31</li> </ul> <p><strong>Files included in this publication: </strong></p> <ul> <li>Datamodel_CONCEPT_DM2_diagram_v0.2.0.jpg</li> <li>Common data model specification (Datamodel_CONCEPT_DM2_v.0.2.0.xlsx)</li> <li>Synthetic datasets (Datamodel_CONCEPT_DM2_sample_data_v0.2.0) <ul> <li>sample_data1_dm_patient.csv</li> <li>sample_data2_dm_param.csv</li> <li>sample_data3_dm_patient.csv</li> <li>sample_data4_dm_param.csv</li> <li>sample_data5_dm_patient.csv</li> <li>sample_data6_dm_param.csv</li> <li>sample_data7_dm_param.csv</li> <li>sample_data8_dm_param.csv</li> </ul> </li> <li>Datamodel_CONCEPT_DM2_explanation_v0.2.0.pptx</li> </ul> <p><strong>CHANGE-LOG from version v0.1.0 to v0.2.0.</strong></p> <p>The main changes are the following:</p> <ul> <li>Missing data is now identified leaving the field empty</li> <li> <p>All ICD diagnosis given in the Datamodel refer to the root code, so that all codes and subcodes that start with the given codes need to be considered. For instance, if in the data model appears I21, then all codes I21.x should be included.</p> </li> <li> <p>All admissions registered in the CMBD will be included to facilitate the extraction procedure (annex 8 disappears).</p> </li> <li> <p>Three diagnosis codes and three procedure codes are now included in table dm_cmbd.</p> </li> </ul> <p><strong>CHANGE-LOG from version v0.2.0 to v0.3.0.</strong></p> <p>The main changes are the following:</p> <ul> <li>Variable 'copayment' (annex 2) change: cod 002.01 =>0; cod 002.02 =>1</li> <li>Variable 'visit_service' (annex 8) change: APR refers to Primary Care and APA refers to Pathological Anatomy</li> <li>Variable 'filglom' (annex 4) change: non numerical values compatible with '> 60' => 999</li> </ul>
Fig. 3 A in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 3 A The production of amastigotes per cell in T. cruzi infections provides insight into the intracellular dynamics of T. cruzi within host cells. B Percentage of uninfected cells observed along the infection curves, susceptibility dynamics, and infection progression, highlighting variations in the percentage of uninfected cells throughout the experimental period. C Release of cell-derived trypomastigotes during infection of Vero cells, Neubauer chamber count
Fig. 1 A in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 1 A Microphotographs of 10-day incubation cultures of Trypanosoma cruzi epimastigotes in LIT medium with Field's staining and magnification (100 ×), metacyclic forms are indicated by red arrows. B Epimastigote production, evaluated for 12 days in a LIT medium. C Metacyclogenetic curve representing the dynamic process of metacyclic trypomastigote formation in T. cruzi. In x is the time (days) while the y-axis indicates the number of metacyclic trypomastigotes (MT) per milliliter. The data points provide information on the efficacy and kinetics of metacyclic trypomastigote production. D Dynamics of metacyclogenesis in T. cruzi, capturing both the starting point and the peak of the process. The data presented provide a better understanding of the timing and efficiency of metacyclic trypomastigote production. E This comparative approach uses brackets to indicate statistically significant differences (p <0.05) between DTUs in both the onset and peak phases of metacyclogenesis. In this graph, it can be seen whether there are DTUs with noticeable variations during the kinetics of metacyclogenesis
Fig. 2 in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 2 Mosaic of microphotographs showing T. cruzi CDT infections in Vero cells for 120 h, using different DTUs. Samples were fixed with formaldehyde and stained with Field's stain. This representation captures the different stages and dynamics of infection in the different DTUs, and the cell morphological changes induced. White arrows indicate the presence of amastigotes at 24 h. By 72 h, amastigote nests become visible, and at 96–120 h, nests along with cell-derived trypomastigotes are observed
Fig. 1 in Extensive testing of a multi-locus sequence typing scheme for Giardia dUodenaliS assemblage A confirms its good discriminatory power
Fig. 1 DCC outbreak in Sweden, described by Ankarklev et al. [13]; GVB outbreak in Italy, described by Resi et al. [14]; and several longitudinal samples of different patients showing similar genotypes, described by Woschke et al. [15]
Lexical Semantic Change Cause-Type-Definitions Benchmark
<p>The Lexical Semantic Change Cause-Type-Definitions (LSC-CTD) Benchmark is a digitised dataset that builds on and extends the Blank's seminal 1997 taxonomy of semantic change. This collection categorises 657 instances of linguistic evolution across the vocabulary of the Romance languages, with additional entries of German and English instances. Each entry is accompanied by a new pair (Old and New Meaning) of english definitions, manually curated by a historical linguist.</p> <p>The dataset includes a detailed classification of causes of change such as semantic wear, lexical gap, orphaned word, lexical complexity, atypical actant structure, frame, socio-cultural change, abstract concept, atypical part of speech, new concept, taboo, expressivity and prototype. It also includes types of semantic shift as classified by Blank, i.e. specialisation, generalisation, co-hyponymous transfer, auto-antonym, metaphor, antiphrasis, metonymy, auto-converse, ellipsis, folk etymology, analogy, meaning dilution, meaning reinforcement and doubtful cases. </p> <p><br><strong>Reference</strong></p> <p>The accompanying paper where this resource is described in detail will be published at ACL 2024.<br><br><span>Pierluigi Cassotti, Stefano De Pascale, and Nina Tahmasebi. 2024. <a href="https://aclanthology.org/2024.acl-long.249">Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types</a>. In <em>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</em>, pages 4539–4553, Bangkok, Thailand. Association for Computational Linguistics.</span></p>
Figure 5 in It's a Trap! An evaluation of different passive trap types to effectively catch and control the invasive red swamp crayfish (Procambarus clarkii) in streams of the Santa Monica Mountains
Figure 5. Mean crayfish counts by size (cm) class across twelve trap types with standard error bars.
Figure 2 in It's a Trap! An evaluation of different passive trap types to effectively catch and control the invasive red swamp crayfish (Procambarus clarkii) in streams of the Santa Monica Mountains
Figure 2. Six standard, base trap types used in this study; a = Steel silver Gee Minnow trap, b = Vinyl coated black Promar Minnow trap, c = Mountain Restoration Trust custom design pyramid trap, d = Collapsible red square mesh Promar 501 trap, e = Colapsible cylindrical black mesh Promar 503 trap, and f = Mountain Restoration Trust custom PVC tube/refuge traps. Specific modifications to these traps to create the 12 types tested are provided in Table 1.
Figure 1 in It's a Trap! An evaluation of different passive trap types to effectively catch and control the invasive red swamp crayfish (Procambarus clarkii) in streams of the Santa Monica Mountains
Figure 1. Placement of traps compared in study in Las Virgenes Creek within Malibu Creek State Park. Inset shows specific study location within a regional context. Section locations were selected based on their representativeness of habitat types occurring over the entire reach (i.e. amount of riffle, runs and pools being comparable) and presence of suitable habitat for trap placement and visual observance of crayfish, tadpoles and native chub.
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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.