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3,145 results for “Well Being”
Effects of Wages on the Well-being of University Teachers in China
<p>This dataset contains survey data on the job well-being of university teachers in China, including variables such as salary satisfaction, perceived workload, organizational culture, and student interaction. Data were collected in 2023 from 283 teachers through an online questionnaire and are stored in SAV format.</p>
Supplementary material 4 from: Magona N, Richardson DM, Le Roux JJ, Kritzinger-Klopper S, Wilson JRU (2018) Even well-studied groups of alien species might be poorly inventoried: Australian Acacia species in South Africa as a case study. NeoBiota 39: 1-29. https://doi.org/10.3897/neobiota.39.23135
Details of the forestry trial at Damara Farm, South Africa, that included many species of wattles not previously recorded from South Africa :
Supplementary material 3 from: Magona N, Richardson DM, Le Roux JJ, Kritzinger-Klopper S, Wilson JRU (2018) Even well-studied groups of alien species might be poorly inventoried: Australian Acacia species in South Africa as a case study. NeoBiota 39: 1-29. https://doi.org/10.3897/neobiota.39.23135
Records of naturalised populations of wattles as per the Southern African Plant Invaders Atlas (date accessed: January 2017) :
Supplementary material 1 from: Magona N, Richardson DM, Le Roux JJ, Kritzinger-Klopper S, Wilson JRU (2018) Even well-studied groups of alien species might be poorly inventoried: Australian Acacia species in South Africa as a case study. NeoBiota 39: 1-29. https://doi.org/10.3897/neobiota.39.23135
Molecular and morphological assessments for the identity of Australian Acacia species collected in South Africa: a) from naturalised populations not previously assessed; and b) from Damara Farm near Malmesbury in South Africa :
Supplementary material 2 from: Magona N, Richardson DM, Le Roux JJ, Kritzinger-Klopper S, Wilson JRU (2018) Even well-studied groups of alien species might be poorly inventoried: Australian Acacia species in South Africa as a case study. NeoBiota 39: 1-29. https://doi.org/10.3897/neobiota.39.23135
South African herbarium accession numbers for specimens that were not available online at http://newposa.sanbi.org as of 1 March 2018 :
TEXT-FIGURE 4. Minutella cf. minuta (Cooper, 1981), "La Passe bateau" off the south-west coast of Mayotte Island. (1a–e) MNHN-IB-2017-173. a–d. Juvenile articulated specimen in dorsal, oblique lateral, posterior oblique views, and close-up of the posterior part of the shell (the protegulum is clearly limited by a step-like growth line and its surface is slightly granular; the rugideltidium is already well developed whereas the interarea remains reduced). e. Dorsal valve interior in plan view (early ju- venile stage in the ontogeny of the dorsal valve). (2a–c) MNHN-IB-2017-174: dorsal valve interior with well-preserved spicular canopies in plan and oblique posterior views, and close-up of the spicular canopy. (3) MNHN-IB-2017-175: articulated speci- men (young stage of growth). (4) MNHN-IB-2017-176: dorsal valve interior of a young specimen in plan view. in Recent thecideide brachiopods from a submarine cave in the Department of Mayotte (France), northern Mozambique Channel
TEXT-FIGURE 4. Minutella cf. minuta (Cooper, 1981), "La Passe bateau" off the south-west coast of Mayotte Island. (1a–e) MNHN-IB-2017-173. a–d. Juvenile articulated specimen in dorsal, oblique lateral, posterior oblique views, and close-up of the posterior part of the shell (the protegulum is clearly limited by a step-like growth line and its surface is slightly granular; the rugideltidium is already well developed whereas the interarea remains reduced). e. Dorsal valve interior in plan view (early ju- venile stage in the ontogeny of the dorsal valve). (2a–c) MNHN-IB-2017-174: dorsal valve interior with well-preserved spicular canopies in plan and oblique posterior views, and close-up of the spicular canopy. (3) MNHN-IB-2017-175: articulated speci- men (young stage of growth). (4) MNHN-IB-2017-176: dorsal valve interior of a young specimen in plan view.
An approximation of inner boundary conditions for wells intersecting highly conductive structures
<p>Inner boundary conditions describe the interaction of groundwater wells with the surrounding aquifer during pumping and are associated with well-skin damage that limits water production and water derived from wellbore storage. Pumping test evaluations of wells during immediate and early-time flow require assignment of inner boundary conditions. Originally, these concepts were developed for vertical well screens, and later transferred to wellbores intersecting highly conductive structures, such as preferential flow zones in fractured and karstic systems. Conceptual models for pumping test analysis in complex bedrock geology are often simplified. Classic analytical solutions generally lump or ignore conditions that limit or enhance well productivity along the well screen at the onset of pumping.</p> <p>Numerical solutions can represent well drawdowns in complex geological settings, such as karst systems, more precisely than many analytical solutions by accounting for additional physical processes and avoiding assumptions and simplifications. Suitable numerical tools for flow simulations in karst are discrete pipe-continuum models that account for various physical processes such as the transient hydraulics of wellbores intersecting highly conductive structures during pumping.</p> <p>https://doi.org/10.1111/gwat.12947</p>
Fig. 3 in Lack of well-maintained natural history collections and taxonomists in megadiverse developing countries hampers global biodiversity exploration
Fig. 3 Correlation between the number of taxonomists and biodiversity collections in the 17 biologically megadiverse developing countries (see legend of Fig. 1 for details). Shown are the correlations between species
Fig. 2 in Lack of well-maintained natural history collections and taxonomists in megadiverse developing countries hampers global biodiversity exploration
Fig. 2 Locations of holotype deposition of 1427 newly described animal species from the 17 biologically megadiverse countries. Data including all taxa from amphipods to mammals were gathered by surveying all
FIGURE 1 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 1: Relationship between species and species names in classifications. H‑K correspond to existing biological species (I, J, and K to subspecies in C); M‑P correspond to species names in biological classifications. A. Nominal species M corresponds to a monophyletic group of species. B. Nominal species M corresponds to a paraphyletic group of species. C. Nominal species N corresponds to a paraphyletic group of subspecies. D. All species names correspond to real species.
FIGURE 3 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 3: Areas A and B have the same number of species (10 species each). A. Distribution of species 16‑25 in area A. B. Distribution of species 2‑4, 8‑10 and 12‑15 in area B. C. Phylogenetic relationships including the taxa distributed in areas A and B showing that area B has a larger number of distantly related monophyletic groups than A.
FIGURE 2 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 2: The concept of the cactophilous "Drosophila serido" before and after the proper understanding of the phylogenetic relationships "below the species level". A. Distribution of D. serido and of its "sister species", D. borborema. B. Distribution patterns after the discovery of the species previously included as groups of D. serido and their relationships with D. borborema. C. Phylogenetic relationships in the group.
Figure 4 in Groundwater decline has negatively affected the well-preserved amphibian community of Doñana National Park (SW Spain)
Figure 4. Number of amphibian species in each grid cell in the 2003-2004 and 2021-2022 survey periods (grid cells with red borders = dry ponds with 0 species).
Figure 3 in Groundwater decline has negatively affected the well-preserved amphibian community of Doñana National Park (SW Spain)
Figure 3. Number of grid cells in which each amphibian species occurred in the 2003-2004 and 2021-2022 survey periods. (Number of grid cells in 2003-2004 = 128, number of grid cells in 2021-2022 = 102).
Figure 2 in Groundwater decline has negatively affected the well-preserved amphibian community of Doñana National Park (SW Spain)
Figure 2. Occurrence of each amphibian species in Doñana National Park during the 2003-2004 and 2021-2022 survey periods. The first map shows the grid cells sampled during each survey period; in orange are the grid cells only surveyed in 2003-2004, in dark green are those only surveyed in 2021-2022, and in light green are those sampled during both periods. Red-bordered are the grid cells with data for 2003-2004 from ponds that were dry in 2021-2022. Similar colours are shown
Figure 1 in Groundwater decline has negatively affected the well-preserved amphibian community of Doñana National Park (SW Spain)
Figure 1. (A): Map of Doñana National Park (SW Spain) showing the sandy area (stabilized and moving dunes), and marsh. It also includes the cartography of temporary ponds, and permanent ponds (as per Gómez-Rodríguez et al., 2011). (B): Ponds Downloaded from Brill.com 08/07/2024 04:54:25PM sampled and the percentage of terrestrial vegetation via Openobserved Accessin. This their is basinsan.open access article distributed under the terms
FIGURE 3 in Five well-supported fossil calibrations within the "Waterbird" assemblage (Tetrapoda, Aves)
FIGURE 3. Alternative phylogenetic tree based on the osteological analysis of Smith (2010) showing the family-level relationships (with silhouettes of representatives within each family) within the waterbird assemblage, with five fossil calibrations (Table 1) included. Groups color-coded by membership in traditional avian orders: Pelecaniformes (green), Ciconiiformes (orange), Procellariiformes (blue), Sphenisciformes (brown), Podicipediformes (gold), Gaviiformes (purple). Stratigraphy and associated ages from Cohen et al. (2013; see also Walker et al., 2013). Branches (internodes) outside of fossil calibrations are set to a unit length to make topological relationships clear, and are not intended to represent actual divergence times. Nodes that are numbered correspond to fossil calibrations described in the text. Asterisk next to Waimanu manneringi references a vetted calibration from Ksepka and Clarke (2015). Abbreviations: E, Early. M, Middle. L, Late.
FIGURE 2 in Five well-supported fossil calibrations within the "Waterbird" assemblage (Tetrapoda, Aves)
FIGURE 2. Preferred phylogenetic tree based on the phylogenomic analysis of Hackett et al. (2008) showing the family-level relationships (with silhouettes of representatives within each family) within the waterbird assemblage, with five fossil calibrations (Table 1) included. Groups color-coded by membership in traditional avian orders: Pelecaniformes (green), Ciconiiformes (orange), Procellariiformes (blue), Sphenisciformes (brown), Podicipediformes (gold), Gaviiformes (purple). Stratigraphy and associated ages from Cohen et al. (2013; see also Walker et al., 2013). Branches (internodes) outside of fossil calibrations are set to a unit length to make topological relationships clear, and are not intended to represent actual divergence times. Double hash marks indicate that the clade containing Phaethon, Podiceps, and Phoenicopterus is actually recovered as distantly related to the waterbird clade (i.e., it is not its sister-taxon). Nodes that are numbered correspond to fossil calibrations described in the text. Asterisk next to Waimanu manneringi references a vetted calibration from Ksepka and Clarke (2015). Abbreviations: E, Early. M, Middle. L, Late.
FIGURE 1 in Five well-supported fossil calibrations within the "Waterbird" assemblage (Tetrapoda, Aves)
FIGURE 1. Specimens representative of two taxa that provide fossil calibrations within the waterbird assemblage. 1, Limnofregata azygosternon (USNM 22753) from the early Eocene Green River Formation represents the sister taxon (with its congener Limnofregata hasegawai) to Fregata, and calibrates the node Fregatidae + Suloidea. 2, Rhynchaeites messelensis (SMF 218) from the middle Eocene of Messel. Together with other Messel Rhynchaeites messelensis specimens and Rhynchaeites sp. (MGUH 20288) from the early Eocene Fur Formation, these represent the sister taxon to Threskiornithidae, and MGUH 20288 calibrates the node uniting Threskiornithidae and its extant sister taxon. Scale bars equal 50 mm.
FIGURE 3 in Rediscovery of Croton hadrianii (Euphorbiaceae), a well distributed but longforgotten species in Brazilian Amazon
FIGURE 3. Distribution map of Croton hadrianii AM = Amazonas state, GO = Goiás, MS = Mato Grosso do Sul, MT = Mato Grosso, PA = Pará, RO = Rondônia, and TO = Tocantins.
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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.