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FIG. 14. — A-H in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 14. — A-H, Lagena haidingeri (Cžjžek, 1848): A, B, l'Épinay (MNHN.F.F67659); oral and basal views; C-E, St. Erth (MNHN.F.F67660), lateral, oral and basal views; F-H, la Pugle (MNHN.F.F67661), lateral, oral and basal views of a specimen with broken neck; H-K, Lagena mariae Karrer, 1877, la Sautré (MNHN.F.F67662) in lateral, oral and basal views; L-O, Lagena ornaticollis Jones, 1984, n. stat., St. Erth (MNHN.F.F67663): L, lateral view; M, perforated wall; N, perforated wall of the neck. Scale bars: A, B, D, E, G, J, K, O, 100 µm; C, F, I, L, 200 µm; H, 50 µm; M, 5 µm; N, 10 µm.
FIG. 1 in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 1. — Maps of location of the studied samples: A, concerned geographical zones and location of the samples from St. Erth and Fécamp; B, location of the samples from Elorn channel; C, location of the samples from ligerian channel; D, location of the samples from the Carentan basin.
FIG. 29. — A-H, Verulagena turgida n. gen., n in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 29. — A-H, Verulagena turgida n. gen., n. sp.: A-D, la Sautré, holotype (MNHN.F.F67728): A, lateral view; B, perforated wall; C, D, oral and basal views; E-H, l'Épinay, paratype (MNHN.F.F67729): E, lateral view; F, perforated wall; G, H, oral and basal views; I-L, Verulagena sp., la Pugle (MNHN.F.F67730): I, lateral view; J, perforated wall; K, L, oral and basal views; M, N, Deuteralagena elegans n. gen., n. sp., Auxais: M, basal internal view; N, enlargement of the aboral tube; O, P, Deuteralagena laguncula n. gen., n. sp., Auxais: O, basal internal view; P, enlargement of the aboral tube. Scale bars: A, E, I, 200 µm; B, F, J, P, 20 µm; C, D, G, H, K, L, M, O, 100 µm; N, 10 µm.
FIG. 11. — A, Laevilagena pyriformis n. gen., n in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 11. — A, Laevilagena pyriformis n. gen., n. sp., Mernel, paratype, Mernel (MNHN.F.F67644), basal view; B-D, paratype, la Groussinière (MNHN.F.F67645) lateral, oral and basal views; E-H, Laevilagena sp., la Groussinière (MNHN.F.F67646): E, lateral view; F, pores; G, H, oral and basal views; I-P, Lagena atilai Bertels, 1964: I-L, Fécamp (MNHN.F.F67647-67650); I, lateral view; J, pores; K, L, oral and basal views; M-O, lateral, oral and basal views; P, internal oral view. Scale bars: A, C, D, G, H, K-P, 100 µm; B, E, I, 200 µm; F, 20 µm; J, 5 µm.
FIG. 15. — A-N in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 15. — A-N, Lagena ornaticollis Jones, 1984, n. stat.: A, St. Erth (MNHN.F.F67664), basal view; B-D, Mernel, lateral, oral and basal views; E-H, Mernel (MNHN.F.F67665): E, lateral view, F, perforated wall; G, H, oral and basal views; I-K, Fécamp (MNHN.F.F67666) in lateral, oral and basal views; L-N, SNP (MNHN.F.F67667) in lateral, oral and basal views; O, P, Lagena striata (d'Orbigny, 1839), SGB3 (MNHN.F.F67668), lateral and oral views. Scale bars: A, C, D, G, H, J, K, M-P, 100 µm; B, E, I, L, 200 µm; F, 10 µm.
FIG. 13. — A-D in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 13. — A-D, Lagena digitale Heron-Allen & Earland, 1932: A, l'Épinay (MNHN.F.F67654), basal view; B-D, SGB3 (MNHN.F.F67655), lateral, oral and basal views; E-P, Lagena haidingeri (Cžjžek, 1848): E-L, Brest-LRK2 (MNHN.F.F67656, F67657): E, lateral view; F, perforated wall; G, perforated wall of the neck; H, I, oral and basal views; J-L, lateral, oral and basal views; M-O, l'Épinay (MNHN.F.F67658), lateral, oral and basal views; P, lateral view. Scale bars: A, C, D, H, I, K, L, N, O, 100 µm; B, E, J, M, P, 200 µm; F, G, 5 µm.
FIG. 24. — A-C, Lanternalagena novocrassicarinata n. gen., n in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 24. — A-C, Lanternalagena novocrassicarinata n. gen., n. sp., la Groussinière, paratype (MNHN.F.F67707) in lateral view with neck without ornamentation, oral and basal views; D-G, Lanternalagena sp. A, SSL (MNHN.F.F67708): D, lateral view; E, F, oral view and enlargement; G, basal view; H-L, Lanternalagena sp. B, Mernel (MNHN.F.F67709): H, lateral view; I, perforated wall; J, perforated wall on the neck; K, L, oral and basal views; M-O, Lanternalagena sp. C, la Chênelière (MNHN.F.F67710) in lateral, oral and basal views with cracked neck. Scale bars: A, E, J, K, N, 200 µm; B, D, H, I, L, O, P, 100 µm; C, F, G, M, 20 µm.
FIG. 21. — A-M in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 21. — A-M, Lagunculella flexa (Cushman & Gray, 1946), n. comb.: A, SSL (MNHN.F.F67693), basal view; C-F, la Chênelière (MNHN.F.F67694): C, lateral, D, enlargement neck; E, F, oral and basal views; G-J, la Sautré (MNHN.F.F67695): G, lateral view; H, perforated wall; I, J, oral and basal views; K-M, la Pugle (MNHN.F.F67696) in lateral, oral and basal views; N-P, Lagunculella ovoidea n. gen., n. sp., la Pugle, holotype (MNHN.F.F67697) in lateral, oral and basal views. Scale bars: A, B, I, J, N, O, P, 100 µm; C, E, F, G, K, 200 µm; D, L, M, 50 µm; H, 20 µm.
FIG. 18. — A-D in The species of Lageninae Brady, 1881 (Foraminifera) from the Pliocene-Early Pleistocene of north-western France, Fécamp (Seine-Maritime, France) and St Erth (Cornwall, United Kingdom)
FIG. 18. — A-D, Lagena sulcata (Walker & Jacob,1798), SGB3 (MNHN.F.F67678): A, lateral view; B, perforated wall; C, D, oral and basal views; E-G, Lagena torquiformis Haynes, 1973, SGB3 (MNHN.F.F67679) in lateral, oral and basal views; H-P, Lagena variokoreana n. sp., Brest-LRK2: H-K, holotype (MNHN.F.F67680): H, lateral view; I, perforated wall; J, K, oral and basal views; L, specimen with broken neck; M-O, paratype (MNHN.F.F67681), lateral, oral and basal views; P, internal view. Scale bars: A, E, H, L, M, 200 µm; B, 20 µm; C, D, F, G, J, K, N-P, 100 µm; I, 5 µm.
Site characterization, water balance modeling, and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States
<p>This dataset contains biotic and abiotic site characterization data and SOILWAT2 water balance model simulation outputs (two daily outputs: 1915-2011, 1980-2020) for 77 ponderosa pine forest sites in the southwestern United States. Data were collected in summer 2019 and summer 2021. Overviews of the sampling and modeling methodologies are detailed in the following publications:</p> <p>Pirtel NL, Bradford JB, Hubbard RM, Abella SR, Kolb TE, Litvak ME, Porter SL and Petrie MD. 2021. The aboveground and belowground growth characteristics of juvenile conifers in the southwestern United States, Ecosphere 12: e03839, doi:10.1002/ecs2.3839.</p> <p>Petrie MD, Hubbard RM, Bradford JB, Kolb TE, Moser WK, Noel A, Schlaepfer DR, Bowen MA, Fuller LR and Moser WK. 2023. Widespread regeneration failure in ponderosa pine forests of the southwestern United States, Forest Ecology and Management: in press.</p> <p> </p>
Figures 10–13 in A new vernal species of Hesperapis from the lower Midwestern United States (Hymenoptera: Melitidae)
Figures 10–13. Male genitalia of Hesperapis (Carinapis) infuscata, new species. 10. Ventral view. 11. Dorsal view. 12. Lateral view. 13. Apical view.
Figures 7–9 in A new vernal species of Hesperapis from the lower Midwestern United States (Hymenoptera: Melitidae)
Figures 7–9. Male terminalia of Hesperapis (Carinapis) infuscata, new species. 7. Sixth sternum. 8. Seventh sternum. 9. Eighth sternum.
Figures 3–4 in A new vernal species of Hesperapis from the lower Midwestern United States (Hymenoptera: Melitidae)
Figures 3–4. Male of Hesperapis (Carinapis) infuscata, new species. 3. Lateral habitus. 4. Dorsal habitus.
Figures 1–2 in A new vernal species of Hesperapis from the lower Midwestern United States (Hymenoptera: Melitidae)
Figures 1–2. Female of Hesperapis (Carinapis) infuscata, new species. 1. Lateral habitus. 2. Dorsal habitus.
Figure 14 in A new vernal species of Hesperapis from the lower Midwestern United States (Hymenoptera: Melitidae)
Figure 14. Map of lower Midwestern states, with confirmed occurrences of Hesperapis (Carinapis) infuscata, new species, mapped. Mapped using SimpleMappr (Shorthouse, 2010).
Total Load Profiles by Balancing Authority in the Western United States for GODEEEP
<p>This dataset contains time-series of total load profiles across Balancing Authorities (BAs) in the western United States (U.S.) electricity grid interconnection for the years 2025, 2030, 2035, 2040, 2045, and 2050. The data is provided for two different socioeconomic pathways and one climate scenario. The socioeconomic pathways -- Business-As-Usual (BAU_Climate) and Net-Zero without CCS (NetZeroNoCCS_Climate) -- are described by <a href="https://doi.org/10.5281/zenodo.7838871">https://doi.org/10.5281/zenodo.7838871</a>. The climate scenario -- Representative Concentration Pathway 8.5 hotter (rcp85hotter) -- is described by <a href="https://doi.org/10.57931/1885756">https://doi.org/10.57931/1885756</a>. Transportation loads in this dataset are derived from <a href="https://doi.org/10.5281/zenodo.8065137">https://doi.org/10.5281/zenodo.8065137</a>. Non-transportation loads are derived using the Total Electricity Loads (TELL) model which is available <a href="https://github.com/IMMM-SFA/tell">here</a>. The data was post-processed using a Jupyter notebook available <a href="https://github.com/GODEEEP/load_analysis/blob/main/notebooks/process_load_data.ipynb">here</a>.</p> <p>A brief summary of the files and directories in this data package is provided below. Each file in the "<em>total_loads</em>" subdirectory is a comma-separated-value (CSV) format with the following columns:</p> <ul> <li><strong>BA</strong> - Acronym of the balancing authority (BA) for this data point</li> <li><strong>Time_UTC</strong> - Timestamp of the hourly data in UTC format</li> <li><strong>Non-Transportation_Load_MWh</strong> - Total hourly load in the BA from non-transportation sources in megawatt hours</li> <li><strong>Transportation_Load_MWh</strong> - Total hourly load in the BA from transportation sources in megawatt hours</li> <li><strong>Total_Load_MWh</strong> - Sum of the load from non-transportation and transportation sources in megawatt hours</li> </ul> <p>Data in the "<em>gridview_ready_total_loads</em>" subdirectory contains the hourly total loads by BA in a format that is ready for ingestion into the GridView production cost model.</p> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p>
Secondary data: Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes
<p>This is the secondary data set and R-Code of R statistical software (version 4.2.1) to investigate the differences and commonalities in the existence of policies regarding person-centred dementia care (PCDC) measured with the Dementia Policy Questionnaire (DemPol-Q) in different care unit types in German nursing homes using a contingency table and Fisher’s exact test. The data from the secondary data analysis were collected in the “BeStaDem” Survey Study, funded by the German Research Foundation (DFG, project number: 430919791), and performed by Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., site Witten. This quantitative analysis is one part of the article “Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes – A Convergent Mixed Methods Study”.</p>
Spatiotemporal impacts of ideology and social vulnerability on COVID-19 for the United States
<p><span>In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States, exhibiting significant geographic </span><span>variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have </span><span>looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine county-level </span><span>spatiotemporal variation of COVID-19 deaths in association with socioeconomic, health, demographic, and political factors, </span><span>using regionalized multivariate regression as well as nationwide geographically weighted random forest (GWRF) models. </span><span>Regionalized regression results across three time windows—pandemic onset until May 2021, May 2021 through November </span><span>2021, and December 2021 until April 2022—suggest that existing measures of social vulnerability for disaster preparedness </span><span>(SVI) are associated with a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust </span><span>evaluation of feature importance and prediction, exposing the importance of local features, such as obesity, which is obscured </span><span>by regional delineation. Overall, GWRF results indicate this more nuanced modeling strategy is useful for capturing the diverse </span><span>spatial and temporal nature of the COVID-19 pandemic.</span></p>
The Relationship between Nursing Job Satisfaction and Missed Nursing Care in Critical Care Units
<p>Data set for The Relationship between Nursing Job Satisfaction and Missed Nursing Care in Critical Care Units</p>
Data from Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States
<p>This archive includes a minimal dataset needed to reproduce the analysis as well as a table (CSV) and spatial polygons (ESRI shapefile) of the resulting output from the publication:</p> <p>Hoecker, T.J., S. A. Parks, M. Krosby & S. Z. Dobrowski. 2023. Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States. <em>Communications Earth and Environment</em>.</p> <p>Publication abstract:</p> <p>Changes in wildfire frequency and severity are altering conifer forests and pose threats to biodiversity and natural climate solutions. Where and when feedbacks between vegetation and fire could mediate forest transformation are unresolved. Here, for the western U.S., we used climate analogs to measure exposure to fire-regime change; quantified the direction and spatial distribution of changes in burn severity; and intersected exposure with fire-resistance trait data. We measured exposure as multivariate dissimilarities between contemporary distributions of fire frequency, burn severity, and vegetation productivity and distributions supported by a 2 °C-warmer climate. We project exposure to fire-regime change across 65% of western US conifer forests and mean burn severity to ultimately decline across 63% because of feedbacks with forest productivity and fire frequency. We find that forests occupying disparate portions of climate space are vulnerable to projected fire-regime changes. Forests may adapt to future disturbance regimes, but trajectories remain uncertain.</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.