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12,237 results for “2019”
Investigation of a neutral 'tongue' observed by GOLD during the geomagnetic storm on May 11, 2019
<p>This dataset include all the data needed for the figures in the main text of JGR paper "Investigation of a neutral 'tongue' observed by GOLD during the geomagnetic storm on May 11, 2019". It include the percentage difference of TIE-GCM simulated column density ratio of O to N2 (O/N2) between DOY 128 and 130, between DOY 128 and 131, and the absolute difference of horizontal advection of O and N2 at pressure level -1.375 between DOY 128 and 131 from 0:10 to 6:10 UT, and the absolute difference of zonal and meridional wind at pressure level -1.375 between DOY 128 and 131 from 0:10 to 6:10</p>
Simulations Supporting 'Representing Intra-Hillslope Lateral Subsurface Flow in the Community Land Model', JAMES, 2019
<p>CLM5 Simulations used for the paper "Representing Intra-Hillslope Lateral Subsurface Flow in the Community Land Model". Files are in NetCDF format.</p> <p>Filenames beginning with 'RME_' contain single point simulations for the Reynolds Mountain East catchment. Filenames beginning with 'Global_' contains global simulations used in the sensitivity study. Filenames beginning with 'surfdata_' contain input surface data files used in CLM5 Hillslope simulations.</p>
Supplementary Material for Healthcare costs following falls and cataract surgery in older adults using Australian linked health data from 2012–2019
<p><strong>Note</strong>: The material contained herein is supplementary to the article:</p><p>Huang-Lung J, Chun Ho K, Lung T, Palagyi A, McCluskey P, White AJR, Boufous S, Keay L. Healthcare costs following falls and cataract surgery in older adults using Australian linked health data from 2012–2019. Public Health Res Pract. November 2023; Online early publication. https://doi.org/10.17061/phrp33342311</p><p> </p><p><strong>Contents</strong></p><p>Appendix Table A1. Details of linked administrative health data extracted for this study. </p><p>Appendix Table A2. ICD-10-AM codes for identification of fall-related hospital admissions in this study. As multiple diagnosis codes can be recorded for each hospital admission, all diagnosis codes associated with the episode of care were considered. </p><p>Appendix Table A3. SNOMED CT codes associated with fall-related emergency department presentations observed in this study. The SNOMED CT codes were searched in the CSIRO Shrimp database, version dated 31/10/21 (http://ontoserver.csiro.au/shrimp/). </p><p>Appendix Table A4. Results from the multivariable generalised linear model assessing factors associated with higher healthcare costs in study participants. </p><p>Appendix Table A5. Mean monthly healthcare costs according to cataract surgeries, sex and faller status groups, estimated from the generalised linear model using marginal means, with co-variates appearing in the model fixed at the following mean values: age = 75.5 and medications = 4.5.</p><p>Appendix Box 1. Data cleaning methods. </p><p>Figure A1. Flowchart of the study cohort. </p>
Comparison of longitudinal changes of the normalised FMA-UE between ICH and IS. Blue: Ghaziani et al. 2018, yellow: Persson et al. 2016, green: Plantin et al. 2019
Open the record for dataset details and reuse information.
Calgary Historical Property Assessements, 2019 (Residential Properties)
Open the record for dataset details and reuse information.
Dataset of conversation graphs from 2019 Anti CAA protest in India
<p>To facilitate future research in online social movements, we are publishing this dataset of conversation graphs in the from the 2019 anti-CAA protest tweets. The conversation graph dataset has two types of conversations:</p><p>• <strong>Mention Graphs</strong>: In this, vertices are users and (directed) edges represent any interaction between the users. Within the context of our dataset, these interactions are limited to mentions alone when a user refers to another user directly by username.</p><p>• <strong>Reply Graphs:</strong> In this case, vertices are users, and a (directed) edge exists if one user replies to another.</p><p><strong>The reply graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li> Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p><strong>The mention graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li>Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p>Additionally, the dataset has the users and conversation graphs labeled for emotion and toxicity. Motif count has been provided for each of the graph. </p><p>To maintain confidentiality as per Twitter guidelines, user ids are anonymized and Tweet IDs and Tweet texts are not part of the dataset. </p>
Bike-sharing data Berlin from Nextbike and Call-a-Bike for 2019 and 2022
<p>This includes various data sets used to estimate cycling volume in Berlin. It contains the raw bike-sharing data as well as a routed and cleaned version thereof.</p><p> </p><p>The data is based on free-floating bike-sharing systems and is available in the form of individual trips, for each departure and starting point as well as the respective times at the minute level are known. The bike-sharing data comprises the months of April until December 2019 for the providers Nextbike and Call-a-Bike (provided by City Lab Berlin). Additionally, we web scrap the equivalent data for the months of June until December 2022 from Nextbike (web scraped data).</p><p> </p>
A Spatially Downscaled TROPOMI SIF Product at 0.005 Degree Resolution in China during 2019-2020
<p><span>To improve the spatial resolutions of TROPOMI SIF, a 0.005-degree SIF product during 2019~2020 in China was generated based on a proposed downscaling strategy correcting the predicted bias with Random Forest (RF) model by TROPOMI SIF, MODIS reflectance, and ERA5 reanalysis datasets. This bias-corrected downscaled SIF product (namely BCSIF) has been validated with the original TROPOMI SIF and the long-term tower-based SIF, also evaluated by correlating with the GPP data, which verified its reliability and applicability for GPP monitoring.</span></p>
Fig. 7. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 7. Neofilchneria wanglanga Chen, 2019, male larva (A) Abdomen, dorsal view (B) Abdomen, ventral view (C) Basal segments of cerci, lateral view (D) Apical segments of cerci, lateral view. Scale bars: 1 mm.
Fig. 5. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 5. Neofilchneria wanglanga Chen, 2019, male larva (A) Thorax, dorsal view (B) Thorax, ventral view. Scale bars: 1 mm.
Fig. 8. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 8. Neofilchneria wanglanga Chen, 2019, female larva (A) Habitus, dorsal view (B) Head, dorsal view (C) Head, ventral view (D) Thorax, dorsal view (E) Thorax, ventral view. Scale bars: 1 mm.
Fig. 3. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 3. Neofilchneria wanglanga Chen, 2019, male larva (A) Right maxilla, ventral view (B) Left maxilla, ventral view (C) Left maxilla, dorsal view (D) Right maxilla, dorsal view. Scale bars: 0.5 mm.
Fig. 2. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 2. Neofilchneria wanglanga Chen, 2019, male larva (A) Habitus, dorsal view (B) Head and pronotum, dorsal view (C) Head and pronotum, ventral view (D) Basal segments of antenna, lateral view (E) Apical segments of antenna, lateral view. Scale bars: 1 mm.
Fig. 1. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 1. Neofilchneria wanglanga Chen, 2019 (A) Habitat in Siguniang Mountain, Sichuan Province, China (B) Habitus of living male adult. 2. Materials and methods
Fig. 9. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 9. Neofilchneria wanglanga Chen, 2019, female larva (A) Abdomen, dorsal view (B) Abdomen, ventral view. Scale bars: 1 mm.
Fig. 4. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 4. Neofilchneria wanglanga Chen, 2019, male larva (A) Right mandible, ventral view (B) Left mandible, ventral view (C) Left mandible, dorsal view (D) Right mandible, dorsal view. Scale bars: 0.25 mm.
Fig. 6. Neofilchneria wanglanga Chen, 2019 in Comparative larval morphology of two stoneflies of Perlodidae (Insecta: Plecoptera)
Fig. 6. Neofilchneria wanglanga Chen, 2019, male larva (A) Right foreleg, dorsal view (B) Right midleg, dorsal view (C) Right hind leg, dorsal view (D) Right foreleg, ventral view (E) Right midleg, ventral view (F) Right hind leg, ventral view. Scale bars: 1 mm.
Supplementary material 1 from: Serafim-Júnior M, Perbiche-Neves G, Lansac-Toha F (2019) Environments and macrophytes as main variables controlling rotifers in a river/lake system before Porto Primavera Reservoir construction. Zoologia 36: 1-8. https://doi.org/10.3897/zoologia.36.e24191
Table S1. List of species found in our study, separated by their habitat (H) occurrence in the pelagic (P) or littoranean (L) region
Supplementary material 1 from: Alonso MB, Carvalho DR, Alves CBM, Moreira MZ, Pompeu PS (2019) Changes in trophic characteristics of two fish species of Astyanax (Teleostei: Characidae) in response to aquatic pollution. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e30445
Figure S1. Distribution of A. lacustris (red points) and A. taeniatus (blue points) species in the bi-plot space by study regions
Supplementary material 1 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
Supplementary material 1 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
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.