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295 results for “Asian Studies”
Dataset: Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter
<p>This is the dataset, trained model, and software companion for the paper titled: Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter accepted for the Workshop on Data for the Wellbeing of Most Vulnerable of the ICWSM 2022 conference.</p> <p>The COVID-19 pandemic has shown a measurable increase in the usage of sinophobic comments or terms on online social media platforms. In the United States, Asian Americans have been primarily targeted by violence and hate speech stemming from negative sentiments about the origins of the novel SARS-CoV-2 virus. While most published research focuses on extracting these sentiments from social media data, it does not connect the specific news events during the pandemic with changes in negative sentiment on social media platforms. In this work we combine and enhance publicly available resources with our own manually annotated set of tweets to create machine learning classification models to characterize the sinophobic behavior. We then applied our classifier to a pre-filtered longitudinal dataset spanning two years of pandemic related tweets and overlay our findings with relevant news events.</p>
Annotating Cognates in Phylogenetic Studies of South-East Asian Languages [Supplement]
<p>Source code and data accompanying the study "<strong>Annotating Cognates in Phylogenetic Studies of South-East Asian Languages" by M.-S. Wu and J.-M. List.</strong></p>
CAIRT FL2S Results of Case Study Scenario 10 (CSS10) for Asian Summer Monsoon
<p>Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.</p>
FIG. 2 in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 2. — Travel route of Guillaume Capus and Gabriel Bonvalot in Middle Asia, 1880-1882 (Bonvalot 1884).
FIG. 1. — A in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 1. — A, Guillaume Capus (Chevalier 1931), source Gallica (https://gallica.bnf.fr/ark:/12148/btv1b8450852x); B, Gabriel Bonvalot (Bibliothèque nationale de France, département Société de Géographie, SG PORTRAIT-10135).
FIG. 6. — Oxytropis tatarica Hook.f in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 6. — Oxytropis tatarica Hook.f. & Thomson ex Bunge; collection by Guillaume Capus housed at the P Herbarium, G. Capus 365 (P[P02914846]).
FIG. 5 in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 5. — Distribution of herbarium specimens collected by Capus in Middle Asia, following the current countries.
FIG. 4 in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 4. — Collection density map based on Capus' herbarium specimens from the Middle Asia (1880-1882).
FIG. 3 in Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857-1931)
FIG. 3. — Species diversity map based on Capus' herbarium specimens from the Middle Asia (1880-1882).
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021). in Floristic, Vegetation And Climate Assessment Of The Early/Middle Miocene Parschlug Flora Indicates A Distinctly Seasonal Climate
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021).
Figure 6 in Genetic divergences of South and Southeast Asian frogs: a case study of several taxa based on 16S ribosomal RNA gene data with notes on the generic name Fejervarya
Figure 6. Maximum likelihood (ML) tree of bufonid frogs based on nucleotide sequences of the mitochondrial 16S rRNA gene with Leptophryne borbonica as an outgroup. The bootstrap support (>50%) is indicated at nodes in the order of ML (500) replicates. Asterisks represent Bayesian posterior probability (BPP; * ≥95%). Specimens examined in this study are indicated by boldface type.
Figure 2 in Genetic divergences of South and Southeast Asian frogs: a case study of several taxa based on 16S ribosomal RNA gene data with notes on the generic name Fejervarya
Figure 2. Maximum likelihood (ML) tree based on nucleotide sequences of the mitochondrial 16S rRNA gene from 88 haplotypes of frogs (Table 1), with Xenopus laevis as an outgroup. Bootstrap support (>50%) is indicated at nodes in the order of ML (1000) replicates. Asterisks represent Bayesian posterior probability (BPP; * ≥95%).
Linked collectors and determiners for: Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857 - 1931).
Natural history specimen data linked to collectors and determiners held within, "Contribution of French explorers to the study of Middle Asian flora: the herbarium collections by Guillaume Capus (1857 - 1931)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/bf81983a-101e-4e6b-af21-ef6a9359f7f0">https://bionomia.net/dataset/bf81983a-101e-4e6b-af21-ef6a9359f7f0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/bf81983a-101e-4e6b-af21-ef6a9359f7f0">https://gbif.org/dataset/bf81983a-101e-4e6b-af21-ef6a9359f7f0</a>. Formatted as a Frictionless Data package.
Figure 1 in The Chironomus species studied by Letha Karunakaran in Singapore, with a review of the status of selected South-East Asian Chironomus
Figure 1. Male hypopygium of Chironomus flaviplumus-Type B. Note that the anal point is not black and not sharply turned-down, and that the SVo is beaked and not gently curved.
A Study of Pevonedistat in Adult East Asian Participants
ClinicalTrials.gov study NCT02782468. IPD Sharing: YES. Countries: 3. Publications: 1.
Asian Phase 2 Study for Treatment of Pain Associated With Diabetic Peripheral Neuropathy
ClinicalTrials.gov study NCT01504412. IPD Sharing: YES. Countries: 3. Publications: 1.
Asian Phase II Study of INC424 in Patients With Primary Myelofibrosis (MF), Post-PV MF or Post-ET MF
ClinicalTrials.gov study NCT01392443. IPD Sharing: UNDECIDED. Countries: 4. Publications: 1.
A Study to Evaluate the Safety, Tolerability, and Pharmacokinetics (PK) of TAK-228 as Single Agent in Adult East Asian Participants With Advanced Nonhematological Malignancies
ClinicalTrials.gov study NCT03370302. IPD Sharing: YES. Countries: 3. Publications: 1.
Figure 2 in The Chironomus species studied by Letha Karunakaran in Singapore, with a review of the status of selected South-East Asian Chironomus
Figure 2. Pupal spur (left) and mentum (right) of C. bicoloris.
Phase 1 Pharmacokinetic Study of Oral Ixazomib Plus Lenalidomide and Dexamethasone in Adult Asian Participants With Relapsed and/or Refractory Multiple Myeloma
ClinicalTrials.gov study NCT01645930. IPD Sharing: Not stated. Countries: 3. Publications: 1.
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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.