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FIG. 3 in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 3. — Indeterminate Scincoidea, incomplete left dentary, MNHN.F.MTC244 A, labial view; B, lingual view. Scale bar: 1 mm.
FIG. 4 in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 4. —?Scincoidea, incomplete axis, MNHN.F.MTC242: A, lateral view; B, vental view; C, anterior view. Scale bar: 1 mm.
FIG. 2 in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 2. — Indeterminate Scincoidea, incomplete right dentary, MNHN.F.MTC245: A, lingual view; B, labial view. Scale bar: 1 mm.
FIG. 1. — A in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 1. — A, Map showing the two fossiliferous localities studied here; B, stratigraphic position of the localities (black arrow).
FIG. 5 in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 5. —?Lacertidae, fragmentary jaw, possibly dentary?, MNHN.F.MTC246: A, labial view; B, lingual view. Scale bar: 1 mm.
FIG. 7 in The lizard (Reptilia, Squamata) assemblage from the Paleocene of Montchenot (Paris Basin, MP6)
FIG. 7. — Cf. Camptognatosaurus parisiensis Folie, Smith & Smith,2013, posterior part of a left dentary,MNHN.F.MTC238:A, labial view;B, lingual view.Scale bar:1 mm.
Data from: Monitoring microarthropods assemblages along a pH gradient in a forest soil over a 60 years' time period
<p>The goal of this study was to assess the development, over 60 years, of microarthropod communities over a pH gradient in forest soil.</p> <p>Site Description</p> <p>Hackfort is an oak coppice grove in the East-Southeast of the city of Zutphen in the province of Gelderland, the Netherlands, 52°06′09.7″ N, 6°15′56.0″ E (see Figure 1). The experimental area is about 1.5 ha and is divided in a 10 m × 10 m grid. Vegetation is dominated by common oak (<em>Quercus robur</em>), mixed with birch (<em>Betula pendula</em>), and had in 1959, an understory of wood sage plugs (<em>Teucrium scorodonia</em>), wood anemone (<em>Anemone nemorosa</em>), bracken (<em>Pteridium aquilinum</em>), and wavy-hair grass (<em>Deschampsia flexuosa</em>). In later years, the understory became more dominated by bramble species (<em>Rubus fruticosus </em>and<em> R. idaeus</em>) and common nettles (<em>Urtica dioica</em>) at the edges of the forest, due to increased N deposition from adjacent farmland. The forest is situated at the transition from western riverine deposits and eastern periglacial cover sands. The soil is a riverine deposit with a few elevation differences, making a number of gradients in clay and loam content, which results in many short-distance gradients in soil types, varying from typic haplaquolls with the largest loam contents, via psammaquentic haplorthods to humaqueptic spodic psammaquents, slightly elevated and low in loam contents.</p> <p>Microarthropod Sampling and pH Measurement</p> <p>In 1959, samples were taken at three subsequent dates: 11 September, 9 October, and 30 October. Samples in 1987 were taken on one date, 9 October, just as on 30 October 2019. Samples were taken following a standard procedure, developed at the Institute for Applied Biological Research in Nature, Wageningen, the Netherlands (later merged into the Research Institute for Nature management, Institute for Forestry and Nature Research and Alterra resp., now known as Wageningen Environmental Research); this procedure has been published by Siepel and van de Bund in 1988 (Siepel and van de Bund, 1988). Each mineral soil sample has 100 cc: a volume of 5 cm diameter and 5 cm depth plus litter on top. In 1959, two samples per date were taken on each plot, making a total of 6 samples (only pooled data are available); in 1987 and in 2019, 4 and 5 samples for each plot were taken on, respectively (data per sample available).</p> <p>Soil cores were put on a Tullgren funnel for 1 week, during which temperature was increased from 35 to 45 °C, and then, microarthropods were collected in 70% alcohol and later put into 20% lactic acid for clarification and identification (Siepel, 1990; Siepel and van de Bund, 1988). The Tullgren funnel used for extraction (Siepel, 1990) has been used ever since 1936 and efficiency has not changed as the tool and protocol was the same all over the years.</p> <p>Identification was done to the species level as much as possible using at present the keys for Oribatida(Weigmann and G., 2006), for Gamasina (Lehtinen, 1994), for Uropodina (Karg, 1989), and for Collembola (Hopkin, 2007). Material from the extractions of 1959 and 1987 was re-examined as far as possible to check the correct species identification. In the 1959 and 1987 samples, only oribatid mites were identified to the species level, whereas in 1959, all species of <em>Quadroppiidae, Oppiidae</em>, and <em>Suctobelbidae</em> were pooled. In 2019, all microarthropods were identified to the species level.</p> <p>Sorting and identification of the 1959 microarthropods was carried out by an experienced acarologist (J.G. de Gunst), in 1987, this was done by a student (C. Arnold) and completed and checked by the second author. For the 2019 samples, we decided to demonstrate the potential difference in picking out the microarthropods from the extraction fluid into the slides for identification as part of the experiment: the first author made a first series of slides including all distinguished animals (dataset 2019 a), while the second author made an extra set of slides with the animals missed by the first (dataset 2019 b). The first author did know since the beginning that the second author would check all samples after her sorting session. In this way, we intended to demonstrate the potential difference in this crucial part of the procedure by a starting and an experienced professional. In the analysis, we compare dataset (2019 a) with (2019 a + b), in order to highlight the difference between a starting and an experienced acarologist. Nomenclature adopted was updated according to current standards, following, e.g., the checklists for Oribatida (Siepel et al., 2009), for Astigmatina (Siepel et al., 2016), and for Mesostigmata (Siepel, 2018). Values of pH-KCl were measured in the core material after the extraction of the microarthropods, both in 1959, 1987, and 2019.</p> <p> </p> <p>We have four data files:</p> <p>1959 hackfort microarthropods data.csv</p> <p>1989 hackfort microarthropods data.csv</p> <p>2019 hackfort microarthropods data.csv</p> <p>pH data Hackfort 1959-2019.csv.</p> <p> </p> <p>Explanation of the variables in the datasets:</p> <p>higher taxon: Oribatida, Astigmata, Mesostigmata, Prostigmata, Collembola or Protura</p> <p>Name in De Gunst 1959: taxonomic identification by De Gunst in 1959</p> <p>Valid name: Henk Siepel re-checked these species names in 2019</p> <p>Plot: plot 1, plot 2, plot 3, plot 4, plot 5</p> <p>a: identified by Yuxi Guo</p> <p>b: re-checked by Henk Siepel from remaining soil microarthropods in slide</p> <p>pH(KCL) and pH(H2O): pH values based on indicated methods</p> <p> </p>
Fig. 10 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 10. Trends in the relative abundance of trophic guilds in Lake Fenéki (Piscivores: y = 0.06 + 0.003x; R2 = 0.757; P> 0.00001)
Fig. 9 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 9. Proportion of each species in the cumulative abundance of non-native fish species in Lake Fenéki
Fig. 7 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 7. PCA biplot of the arcsin-square root transformed relative abundance data of the whole sampling period (1992–2011) (Variables: Sampling years; Objects: Relative abundances) (abbreviations were constructed from the Latin names of the species, using the first 3 characters of genus and species
Fig. 5 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 5. Estimated number of species (SD's ignored in order to improve visibility) as a function of number of individuals collected in each sampling year
Fig. 8 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 8. PCA biplot of the arcsin-square root transformed relative abundance data of the period 1994–2011 (Variables: Sampling years; Objects: Relative abundances)
Fig. 4 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 4. Relationships between the age of Lake Fenéki and the Shannon–Weaver index (y = 0.414ln(x) + 0.852; R2 = 0.772; P <0.0001)
Fig. 3 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 3. Relationships between the age of Lake Fenéki and the number of fish species (y = 4.141ln(x) + 3.807; R2 = 0.759; P <0.0001)
Fig. 1 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 1. Overlooking map of the Balaton-catchment, with the sampling site (Dark rectangle marked by the arrow indicates the flooded area of Lake Fenéki)
Fig. 1 in Dynamics of fish assemblages on a continuous rocky reef and adjacent unconsolidated habitats at Fernando de Noronha Archipelago, tropical western Atlantic
Fig. 1. Map of the Fernando de Noronha Archipelago showing the study area (Porto Beach) and permanent sampling stations.
Fig. 3 in Dynamics of fish assemblages on a continuous rocky reef and adjacent unconsolidated habitats at Fernando de Noronha Archipelago, tropical western Atlantic
Fig. 3. Canonical plotting of microhabitat characteristics (arrows) and fish species (points). Rug.: rugosity; Crev.: number of crevices; S. height: substratum height; C. algae: percent cover of encrusting coralline algae; Macr.: percent cover of Macroalgae; Turf: percent cover of turf algae; L. coral: percent cover of live coral; Other: percent cover of other organisms; B. rock: percent cover of bare rock; Sand: percent cover of sand and limestone; IHC: index of habitat complexity; Species names are abbreviated as the first three letters of genus and first three letters of specific epithet (see Table 4 for full scientific names).
FIG. 15 in Étude d'un assemblage original de microvertébrés du Pléistocène moyen du nord-est de l'Algérie (Ben Kérat, Oued Zenati) et description de deux nouveaux muridés
FIG. 15. — Urostyle de Discoglossus sp. de Ben Kérat: A, en vue dorsale; B, en vue ventrale;C, en vue antérieure;D, en vue latérale gauche;E, en vue latérale droite. Barre d'échelle: 0,5 mm.
FIG. 13 in Étude d'un assemblage original de microvertébrés du Pléistocène moyen du nord-est de l'Algérie (Ben Kérat, Oued Zenati) et description de deux nouveaux muridés
FIG. 13. — Exemples de restes de Crocidura cf. maghrebiana de Ben Kérat: A, fragment de mandibule gauche en vue linguale et labiale, et condyle en vue postérieure; B, fragment de mandibule droite en vue labiale et linguale, et m1-m2 en vue occlusale; C, fragment de mandibule gauche en vue linguale et labiale, et m2-m3 en place en vue occlusale; D, incisive inférieure gauche en vue labiale et linguale; E, incisive supérieure droite en vue linguale et labiale; F, m1 droite en vue occlusale et labiale; G, fragment de maxillaire gauche avec M1 en place en vue linguale et occlusale; H, fragment de maxillaire gauche avec P4 en place en vue labiale, occlusale et linguale. Barres d'échelle: 1 mm.
FIG. 11 in Étude d'un assemblage original de microvertébrés du Pléistocène moyen du nord-est de l'Algérie (Ben Kérat, Oued Zenati) et description de deux nouveaux muridés
FIG. 11. — Exemples de molaires d'Ellobius de Ben Kérat en vue latérale (A) et occlusale (B-K): A et B, trois m1 gauches; C, m1 droite; D, deux m2 gauches; E, m2 droite; F, deux m3 gauches; G, deux m3 droites; H, M1 gauche; I, M1 droite; J, M3 gauche; K, M3 droite. Barre d'échelle: 1 mm.
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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.