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FIGURE. Mucuna pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear. A. Holotype of M. pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear (R. Wight 750, K000797547, © Royal Botanic Gardens, Kew). B. Isotype of M. pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear (R. Wight 750, E00174529, © Royal Botanic Garden, Edinburgh). C. Holotype of M. incurvata Wilmot-Dear & R. Sa (C. W. Wang 79571, PE00414137, © Institute of Botany, Chinese Academy of Sciences). D. Isotype of M. incurvata Wilmot-Dear & R. Sa (C. W. Wang 79571, A00195002, © Harvard University). E. S. Mokim s. n. (L4306572) from Kachin Hills, Myanmar [Upper Burma], © Naturalis Biodiversity Center. F. China-Vietnam Joint Exped. 1441 (PE00416831) from Vietnam, © Institute of Botany, Chinese Academy of Sciences. G. X. X. Guo 1401 (CSH0142751) from Jinghong, Yunnan, China, © Shanghai Chenshan Herbarium. H. K. W. Jiang SSPN13 (CSH0160977) from Mengla, Yunnan, China, © Shanghai Chenshan Herbarium. I. K. M. Feng 5399 (KUN0618388) from Hekou, Yunnan, China, © Kunming Institute of Botany, CAS. in Legume additions to the flora of China
FIGURE. Mucuna pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear. A. Holotype of M. pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear (R. Wight 750, K000797547, © Royal Botanic Gardens, Kew). B. Isotype of M. pruriens (L.) DC. var. hirsuta (Wight & Arn.) Wilmot-Dear (R. Wight 750, E00174529, © Royal Botanic Garden, Edinburgh). C. Holotype of M. incurvata Wilmot-Dear & R. Sa (C. W. Wang 79571, PE00414137, © Institute of Botany, Chinese Academy of Sciences). D. Isotype of M. incurvata Wilmot-Dear & R. Sa (C. W. Wang 79571, A00195002, © Harvard University). E. S. Mokim s. n. (L4306572) from Kachin Hills, Myanmar [Upper Burma], © Naturalis Biodiversity Center. F. China-Vietnam Joint Exped. 1441 (PE00416831) from Vietnam, © Institute of Botany, Chinese Academy of Sciences. G. X. X. Guo 1401 (CSH0142751) from Jinghong, Yunnan, China, © Shanghai Chenshan Herbarium. H. K. W. Jiang SSPN13 (CSH0160977) from Mengla, Yunnan, China, © Shanghai Chenshan Herbarium. I. K. M. Feng 5399 (KUN0618388) from Hekou, Yunnan, China, © Kunming Institute of Botany, CAS.
UDPipe Models for Morphologically enhanced Universal Dependencies for Korean (morphUD)
<p>UDPipe 1 (https://ufal.mff.cuni.cz/udpipe/1) models for Morphologically enhanced Universal Dependencies for Korean (morphUD) including ko.vectors.xz files for morphUD and wordUD. </p> <p>Embedding files are available at https://doi.org/10.5281/zenodo.5869738</p> <blockquote> <p><strong>udpipe</strong> --train --tokenizer="dimension=64;epochs=100;segment_size=50;initialization_range=0.2;batch_size=50;learning_rate=0.005;learning_rate_final=0.001;dropout=0.3;early_stopping=1" --tagger="models=2;templates_1=tagger;guesser_suffix_rules_1=8;guesser_enrich_dictionary_1=6;guesser_prefixes_max_1=0;use_lemma_1=0;use_xpostag_1=1;use_feats_1=1;provide_lemma_1=0;provide_xpostag_1=1;provide_feats_1=1;prune_features_1=0;templates_2=lemmatizer;guesser_suffix_rules_2=8;guesser_enrich_dictionary_2=6;guesser_prefixes_max_2=4;use_lemma_2=1;use_xpostag_2=0;use_feats_2=0;provide_lemma_2=1;provide_xpostag_2=0;provide_feats_2=0;prune_features_2=1" --parser="iterations=30;embedding_upostag=20;embedding_feats=20;embedding_xpostag=0;embedding_form=300;embedding_form_file={wordUD|morphUD}.txt.embeding.vec;embedding_lemma=0;embedding_deprel=20;learning_rate=0.01;learning_rate_final=0.001;l2=0.5;hidden_layer=200;batch_size=10;transition_system=projective;transition_oracle=dynamic;structured_interval=10" --heldout={UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-dev.conllu {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-{wordUD|morphUD}.model {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-train.conllu</p> </blockquote>
Attitudes of university hospital staff towards in-house assisted suicide
<p><span><strong><span>Objective</span></strong></span><span><span><strong>:</strong></span> To investigate staff attitudes toward assisted suicide in the hospital and factors influencing its practices in Switzerland.</span></p> <p><span><strong><span>Design:</span></strong></span><span> Cross-sectional study</span></p> <p><span><strong><span>Setting:</span></strong></span><span> Two University Hospitals in French speaking regions of Switzerland.</span></p> <p><span><strong><span>Participants:</span></strong></span><span> 13'834 health care professionals including all personal caring for patients were invited to participate. </span></p> <p><span><strong><span>Main outcome measures and other variables: </span></strong></span><span>Attitudes towards the participation of hospital health care professionals in assisted suicide were investigated with an online questionnaire.</span></p> <p><span><strong><span>Results</span><span>:</span></strong></span> <span>Among all invited professionals, 5'127 responded by filling in the survey at least partially (response rate 37.0%) and 3'683 completed the entire survey (26.6%).</span><span> 72.6% of participants approved that this practice should be authorized in their hospital and saw more positive than negative effects. 57.6% would consider assisted suicide for themselves. </span><span>Non-medical professionals were 1.23 to 5.23 times more likely to approve assisted suicide than physicians (p<0.001). 68.8% of respondents indicated that each professional should have the choice whether or not to assist in suicide. </span></p> <p><span><strong><span>Conclusions:</span></strong></span><span> This multi-professional survey sheds light on hospital staff perceptions of assisted suicide happening within hospital walls, which may inform the development of rules considering their wishes but also their reluctance. Further research using a mixed-methods approach could help reaching an in-depth understanding of staff's attitudes and considerations towards assisted suicide practices.</span></p>
What do we mean by "data" in the arts and humanities? Interview transcripts (University of Bologna, FICLIT) and qualitative data coding
<p>This dataset contains the anonymised transcripts of the interviews conducted between November and December 2021 at the department of Classical Philology and Italian Studies (FICLIT) at the University of Bologna. It further includes the qualitative data analysis of the interviews, carried out using a grounded theory approach and the open source software QualCoder version 2.9.</p>
Is switchgrass good for carbon savings? Long-term results in marginal land Running title: Switchgrass SOC storage capacity in marginal land Walter Zegada-Lizarazu 1, Federica Zanetti 1, Nicola Di Virgilio 2, Andrea Monti 1 1Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 44 – 40127, Bologna, Italy; 2CNR, Institute for the BioEcononomy, National Research Council of Italy, Via P Gobetti 101, I-40129 Bologna, Italy
<p>Growing switchgrass in marginal land can be a valuable option to mitigate the risk of agricultural land abandonment whilst storing a significant amount of soil C. It was found a significant increase in SOC in a 13-years period. A significant positive correlation was observed between the C derived from switchgrass and SOC gain (the estimated switchgrass derived C was 12.7 Mg C ha<sup>-1</sup>). The increased SOC along the field, however, was patchy, with the highest increments registered in the center of the field, while the lowest ones in the top and bottom of the hill.</p>
Orthophoto mosaics of the Arboretum of the Botanical Garden of Petrozavodsk State University
<p>Orthophoto mosaics of the Arboretum of the Botanical Garden of Petrozavodsk State University</p>
Quantitative Study of Diversity, Equity and Inclusion in STEM Subjects in US Universities
<p>This is the complete raw data for the National Association of Scholars' 2022 Quantitative Study of Diversity, Equity and Inclusion in STEM Subjects in US Universities. It can be dropped into the project's root folder and used to recreate the files in the ./out directory, which are used to create the visualizations in the final report.</p> <p>The replication files for the project (processed data and code) are here: https://github.com/NASorg/quantdei</p> <p>Please note that it was necessary to split the data into multiple zip files in order to upload it to Zenodo.</p> <p>To get the files and replicate the analysis, these are the steps.</p> <p>1. Download all the files and put them in a folder. Navigate to that folder in the command line.</p> <p>2. Combine the files into a single zip file, like this: </p> <p>cat ./quantdei_nas_data.z0* ./quantdei_nas_data.zip > ./data.zip</p> <p>3. Unzip that amalgamated file: (gui tools won't work)</p> <p>unzip ./data.zip</p> <p>Congratulations!</p> <p>Now you should have a folder called "data" that has all of the data. </p>
Supporting molecular simulations data for "A universal co-solvent dilution strategy enables facile and cost-effective fabrication of perovskite photovoltaics"
<p>Supplementary data for "A universal co-solvent dilution strategy enables facile and cost-effective fabrication of perovskite photovoltaics"</p>
Data from: Validity, applicability and universality of fractal scaling laws for natural lakes
<p><span>We conducted a systematic investigation on the validity, applicability and universality of the fractal scaling relationships for natural lakes within China. Hydro-climatic zones from the Hydrological regionalization of China were taken as the statistical units for all the analyses. Lake size and hydrological parameters used in the analyses are from the HydroLAKES database. To test the validity of the fractal scaling relationships between lake properties, power law functions were fitted to these properties. To examine the effects of topographical relief on the power law size distribution, regional degree of topographical relief was calculated for each zone based on ASTER GDEM2. To explore the potential impacts of human activities on the applicability of power law size distribution, Human modification index data was jointly analyzed with the power law distribution of lake size.</span></p>
University of Oslo Fossil database
<p>Fossil database for University of Oslo</p>
Supplemental files for: A consensus view of the proteome of the last universal common ancestor
<p>The availability of genomic and proteomic data from across the tree of life has made it possible to infer features of the genome and proteome of the last universal common ancestor of life (LUCA). A number of studies have done so, all using a unique set of methods and bioinformatics databases. Here, we compare predictions across eight such studies and measure both their agreement with one another and with the consensus predictions among them. We find that some LUCA genome studies show a strong agreement with the consensus predictions of the others, but that no individual study shares a high or even moderate degree of similarity with any other individual study. From these observations, we conclude that the consensus among studies provides a more accurate depiction of the proteome of the LUCA and its functional repertoire. The set of consensus LUCA protein family predictions between all of these studies portrays a LUCA genome that, at minimum, encoded functions related to protein synthesis, amino acid metabolism, nucleotide metabolism, and the use of common, nucleotide-derived organic cofactors.</p>
FIGURE 18. a in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 18. a) Nesospiza wilkinsi dunnei NHMO-BI-100346; b) Nesospiza wilkinsi dunnei NHMO-BI-100347.
FIGURE 8. a in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 8. a) Petrophassa rufipennis NHMO-BI-77947; b) Ptilopus (Leucotreron) alligator NHMO-BI-77948.
FIGURE 1 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 1. Facsimile of parts of the letter from A. B. Meyer to R. Collett 11 July 1886, including the section about the content of the shipment sent to Oslo the same day, plus the header and signature parts.
FIGURE 13. a in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 13. a) Catharacta skua hamiltoni NHMO-BI-67601; b) Catharacta skua hamiltoni NHMO-BI-67602; c) Catharacta skua hamiltoni NHMO-BI-67603.
FIGURE 4 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 4. Labels (metal tags) of type specimens in the NHMO Bird Collection of Catharacta skua hamiltoni Hagen, 1952 (all collector's labels). a) NHMO-BI-67601; b) NHMO-BI-67602; c) NHMO-BI-67603; d) NHMO-BI-67604; e) NHMO-BI-67605; f) NHMO-BI-85384.
FIGURE 7 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 7. Labels (metal tags) of type specimens in the NHMO Bird Collection of Nesospiza wilkinsi dunnei Hagen, 1952 (all collector's labels). a) NHMO-BI-100346; b) NHMO-BI-64842; c) NHMO-BI-100347.
FIGURE 3 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 3. Labels of type specimens (maintained and refuted) in the NHMO Bird Collection described by A.B. Meyer. a) Ptilopus flavovirescens NHMO-BI-59271 (original Dresden label); b) Ptilopus flavovirescens NHMO-BI-59271 (NHMO label); c) Eclectus riedeli NHMO-BI-64131 (original Dresden label); d) Eclectus riedeli NHMO-BI-64132 (original Dresden label); e) Geoffroyus timorlaoënsis NHMO-BI-64130 (original Dresden label); f) Geoffroyus timorlaoënsis NHMO-BI-64228 (original Dresden label); g) Artamus Musschenbroeki NHMO-BI-68621 (original Dresden label).
FIGURE 2 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 2. Labels of type specimens in the NHMO Bird Collection described by R. Collett. a) Petrophassa rufipennis NHMO-BI-77947 (collector's label); b) Ptilopus (Leucotreron) alligator NHMO-BI-77948 (collector's label); c) Psephotus dissimilis NHMO-BI-64125 (collector's label); d) Psephotus dissimilis NHMO-BI-64125 (NHMO label); e) Psephotus dissimilis NHMO-BI-85843 (collector's label).
FIGURE 6 in Type specimens of birds in the Natural History Museum, University of Oslo, Norway
FIGURE 6. Labels of type specimens in the NHMO Bird Collection described by T. Salvadori. a) Ptilotis erythropleura NHMO-BI-86778 (collector's label); b) Melanocharis chloroptera NHMO-BI-61863 (NHMO label); c) Zosterops novae guineae NHMO-BI-86649 (NHMO label); d) Dicaeum misoriense NHMO-BI-61856 (collector's label).
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.