cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w4y6h723xg.1
title: NSTU-BDTAKA: NSTU Bangladeshi Paper Currency Dataset

description: The "NSTU-BDTAKA" dataset has been carefully organized to facilitate two primary tasks: the identification and detection of taka, with a particular emphasis on Bangladeshi paper money. A hierarchical folder structure inside the "Detect" folder divides data into "train," "test," and "validation" subsets for the Taka detection subset, with each including "images" and "labels" subfolders. Annotation files in YOLO format are kept in the "labels" folder, which guarantees accurate object localization for YOLOv5-based object identification models. The dataset is divided into "train," "test," and "validation" subsets in the taka recognition subset, with distinct class folders for different amounts of money. These class folders include images of particular denominations, which simplifies the dataset for training recognition models and allows for precise currency classification based just on image data. This meticulous structure supports the development, training, and evaluation of models, making the "NSTU-BDTAKA" dataset a valuable resource for researchers and practitioners in computer vision and currency analysis.
DOI: 10.17632/k45j97zwbd.1
title: PF-06409577 Activates Macrophage AMPK

description: Murine macrophages (either bone marrow derived or peritoneal) were treated with Pf-06409577 and markers of AMPK activation were examined.
DOI: 10.6084/m9.figshare.22116191
title: LncRNA POU6F2-AS2 contributes to malignant phenotypes and paclitaxel resistance by promoting SKP2 expression in stomach adenocarcinoma

description: This study aimed to investigate the role and mechanism of POU6F2-AS2 in the development of gastric cancer. POU6F2-AS2 expression was considerably higher in clinical stomach adenocarcinoma (STAD) tissues and gastric cancer cell lines (MKN-28 and MGC-803) than in neighbouring normal tissues and gastric mucosa epithelial cells (GES-1). POU6F2-AS2 overexpression resulted in a low overall survival probability, progression-free survival probability and post progression survival probability, as well as increased cell viability, migration and invasion of gastric cancer cells, thereby inhibiting apoptosis. Based on RNA pull-down, cycloheximide and MG132 incubation experiments, POU6F2-AS2 promoted SKP2 by stabilizing NONO expression. In addition, <i>in vivo</i> silencing of POU6F2-AS2 in gastric cancer cells can inhibit tumour progression and produce a synergistic antitumour effect when combined with paclitaxel. POU6F2-AS2 is overexpressed in STAD, which is attributed to a bad prognosis. <i>In vitro</i> and <i>in vivo</i> experiments have confirmed that the POU6F2-AS2/NONO/SKP2 axis promotes STAD progression, and that the silencing of POU6F2-AS2 plays a synergistic antitumour effect when combined with paclitaxel. Therefore, POU6F2-AS2 may be potentially developed as a target to inhibit STAD and reduce chemoresistance.
DOI: 10.6084/m9.figshare.22116191.v1
title: LncRNA POU6F2-AS2 contributes to malignant phenotypes and paclitaxel resistance by promoting SKP2 expression in stomach adenocarcinoma

description: This study aimed to investigate the role and mechanism of POU6F2-AS2 in the development of gastric cancer. POU6F2-AS2 expression was considerably higher in clinical stomach adenocarcinoma (STAD) tissues and gastric cancer cell lines (MKN-28 and MGC-803) than in neighbouring normal tissues and gastric mucosa epithelial cells (GES-1). POU6F2-AS2 overexpression resulted in a low overall survival probability, progression-free survival probability and post progression survival probability, as well as increased cell viability, migration and invasion of gastric cancer cells, thereby inhibiting apoptosis. Based on RNA pull-down, cycloheximide and MG132 incubation experiments, POU6F2-AS2 promoted SKP2 by stabilizing NONO expression. In addition, <i>in vivo</i> silencing of POU6F2-AS2 in gastric cancer cells can inhibit tumour progression and produce a synergistic antitumour effect when combined with paclitaxel. POU6F2-AS2 is overexpressed in STAD, which is attributed to a bad prognosis. <i>In vitro</i> and <i>in vivo</i> experiments have confirmed that the POU6F2-AS2/NONO/SKP2 axis promotes STAD progression, and that the silencing of POU6F2-AS2 plays a synergistic antitumour effect when combined with paclitaxel. Therefore, POU6F2-AS2 may be potentially developed as a target to inhibit STAD and reduce chemoresistance.
DOI: 10.6084/m9.figshare.24447133
title: Dataset on Technology Use during Teaching Practicum: Beliefs/Knowledge in Urban and Suburban Schools

description: This dataset aimed to report the relationships between belief/knowledge factors and behavioral intention with the use of technology among Indonesian preservice science teachers (PSSTs) during teaching practicum.
DOI: 10.6084/m9.figshare.24447133.v1
title: Dataset on Technology Use during Teaching Practicum: Beliefs/Knowledge in Urban and Suburban Schools

description: This dataset aimed to report the relationships between belief/knowledge factors and behavioral intention with the use of technology among Indonesian preservice science teachers (PSSTs) during teaching practicum.
DOI: 10.34740/kaggle/dsv/6816482
title: 📒Meta Kaggle ported to Parquet Format
DOI: 10.3886/e113192v2-142661
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.5281/zenodo.10047129
title: Dataset underpinning: "Scalable Neural Decoder for Topological Surface Codes"

description: The dataset belonging to the paper: Scalable Neural Decoder for Topological Surface Codes
DOI: 10.5281/zenodo.10047128
title: Dataset underpinning: "Scalable Neural Decoder for Topological Surface Codes"

description: The dataset belonging to the paper: Scalable Neural Decoder for Topological Surface Codes
DOI: 10.34740/kaggle/dsv/6816644
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6816645
title: OnlineFree
DOI: 10.17632/t23j4wxtyb.1
title: Vocal turn-taking in meerkat group calling sessions

description: Meerkat (Suricata suricatta) sunning call times. The calls are marked as "focal" - recorded recognised individual and "background" - sunning calls emitted by neighbouring conspecifics. The data specifies meerkat social group, focal ID and timing of the calls within the recording.
DOI: 10.48698/92nk-e805
title: Aggregated, clustered single-cell RNA-seq data used in the KPMP Atlas Explorer v1.3
DOI: 10.5281/zenodo.8193127
title: The growth of ring current/SYM-H under northward IMF Bz conditions present during the 21-22 January 2005 geomagnetic storm

description: Database for "The growth of ring current/SYM-H under northward IMF $B_z$ conditions present during the 21-22 January 2005 geomagnetic storm". This collection of the Solar wind, Interplanetary magnetic field, and other satellite data are used in the study to determine the causes of the sustained peak of the ring current indices under unfavorable conditions. The paper is submitted to the Space Weather Paper ( MS# 2023SW003489).
DOI: 10.17632/w54v8wy8nb.1
title: AMS data 

description: Table S1. Summary of magnetic scalar and directional data in the Longmen Shan thrust belt.
DOI: 10.6084/m9.figshare.22495357
title: Supplementary Material for: Prevalence and Risk Score for Hypertonic Dehydration Among Community-Dwelling Older Adults: an Analysis of the Bangkok Falls Study

description: Introduction: Dehydration is associated with morbidity, and many factors affect dehydration in older adults including age and medication use. This study determined the prevalence of hypertonic dehydration (HD) and factors affecting HD in older adults and developed a risk score (a set of consistent weights that assign a numerical value to each risk factor) which are potentially useful in predicting HD among community-dwelling Thai older adults. Methods: Data were obtained from a cohort study of community-dwelling older adults aged ≥60 years in Bangkok, Thailand between October 1, 2019, and September 30, 2021. Current HD was defined as a serum osmolality &gt;300 mOsm/kg. Univariate and multivariate logistic regression analyses were used to identify factors associated with current and impending HD. The risk score for current HD was developed based on the final multiple logistic regression model. Results: A total of 704 participants were included in the final analysis. In this study, 59 (8.4%) participants had current HD and 152 (21.6%) had impending HD. We identified three risk factors for HD in older adults; age ≥ 75 years (adjusted odds ratio (aORs) 2.0, 95% confidence interval [CI]: 1.16-3.46), underlying diabetes mellitus (aORs 3.07, 95%CI: 1.77-5.31) and use of ß-blocker medication (aORs 1.98, 95%CI: 1.04-3.78). The increasing risks of current HD with increasing risk scores were 7.4% for a score of 1, 13.8 % for a score of 2, 19.8% for a score of 3, and 32.8% for a score of 4. Conclusion: One-third of the older adults in this study had current or impending HD. We identified risk factors for HD and created a risk score for HD in one group of community-dwelling older adults. Older adults with risk scores of 1-4 were at 7.4%-32.8% risk for current HD. The clinical utility of this risk score requires further study and external validation.
DOI: 10.6084/m9.figshare.22643155
title: Supplementary Material for: Caregiver Involvement and Concerns with Care of Residents of Assisted Living Before and During the COVID-19 Pandemic

description: Introduction Family/friend caregivers play an essential role in promoting the physical and mental health of older adults in need of care – especially during the COVID-19 pandemic and especially in assisted living (AL) homes, were resident care needs are similarly complex as in long-term care homes but fewer staffing resources and services are available. However, little research is available on caregiver involvement and concerns with care of AL residents prior to and during waves 1 and 2 of the COVID-19 pandemic. This study addressed this important knowledge gap. Methods This prospective cohort study used baseline and follow-up online surveys with primary caregivers to AL residents in Western Canada who were 65 years or older and had lived in the AL home for at least 3 months before Mar 1, 2020. Surveys assessed the following outcomes in the three months prior to and during waves 1 and 2 of the pandemic: socio-demographics, 5 ways of visiting or communicating with residents, involvement in 16 care tasks, concerns with 9 resident physical/mental health conditions, perceived lack of resident access to 7 care services, and whether caregivers felt well informed and involved with resident care. Results Based on 386 caregiver responses, in-person visits dropped significantly in wave 1 of the pandemic and so did caregiver involvement in nearly all care tasks. While these rates increased in wave 2, most did not return to pre-pandemic levels. Correspondingly, caregiver concerns (already high before the pandemic) substantially increased in wave 1 and stayed high in wave 2. These were particularly elevated among caregivers who did not feel well informed/involved with resident care. Discussion/Conclusions Restricted in-person visiting disrupted resident care and was associated with worse perceptions of resident health and wellbeing. Continued caregiver involvement in resident care and communication with caregivers even during lockdowns is key to mitigating these issues.
DOI: 10.6084/m9.figshare.23735691
title: Supplementary Material for: Impact of ‘Black Race’ Coefficient in eGFR on Our Community and Medical Education

description: Introduction: The use of race in estimation of glomerular filtration rate (eGFR) started a critical national conversation on numerous areas of medicine touched by racism; with a call for removal of race from calculation of eGFR. We scrutinized use of ‘Black race’ coefficient in MDRD eGFR calculation and consequence of its use on our local community in SW Michigan. Methods: A cross-sectional analysis of de-identified electronic health record (EHR) data from routine outpatient primary care visits, from 1/1/2019 to 12/31/2019 included variables such as age, race, gender, serum creatinine levels and calculated eGFRs (if any), using Chi-square tests for association and Wald-approximation 95% confidence interval. During the data collection period in 2019, both hospital systems and the outpatient clinic site were all using MDRD. Results: eGFR and associated CKD stage were calculated for 131,863 patients. Chi-square tests found significant differences in rates of CKD stages 3,4 and 5 between ‘Black’ and ‘not Black’. And, the 95% confidence interval for the proportion of Black patients who would advance to the next stage of CKD upon ignoring ‘Black race’ (using Wald-approximated Confidence Interval for binomial proportion) is between 41.1% and 43.0%. Discussion: The eGFR calculations which place Black patients in lower CKD stages initially may deprive them of important treatment and referral early in their disease course. Removal of the Black race coefficient allows for referral to a nephrologist, Medicare coverage, and the potential need for transplant and/or dialysis. Conclusion: Our analysis demonstrates the impact removal of ‘black race’ coefficient from MDRD eGFR calculation could have on our community.
DOI: 10.1285/i20398573v4n2p167
title: Corruption and Norms. Why Informal Rules Matter, edited by Ina Kubbe and Annika Engelbert, Palgrave Macmillan, 2018, pp. 370
DOI: 10.17026/dans-z2d-skjv
title: Literature review table belonging to Van Loon et al. (2020)

description: Literature review table belonging to Van Loon, A. F., Lester-Moseley, I., Rohse, M., Jones, P., and Day, R. (2020) Creative practice as a potential tool to build drought and flood resilience in the Global South, Geoscience Communication, https://doi.org/10.5194/gc-2020-11. For more details for the search keywords and selection criteria see the paper.
DOI: 10.17632/hntn6m2pgk.1
title: Low et al. (2021) Dynamic and reversible remapping of network representations in an unchanging environment. Neuron

description: Data included in Low et al. (2021) Neuron. Data are numpy arrays labeled by mouse and session ID. Final piece of file name indicates the data identity:
behavior : behavioral variables by observation - position, speed, trial, time;  shape (n_observations, 4)
MEC_cellIDs : cell ID for each MEC neuron; order matches MEC_FRtensor and MEC_spikes
MEC_spikes : spike count per observation for each cell; shape (n_obs, n_cells)
MEC_FRtensor : normalized firing rate by 5cm position bins by trial for each cell; shape (n_trials, n_pos_bins, n_cells)
MEC_idx : bool; if included, indicates that the recording probe re-exited MEC on that session; use to filter MEC_cellIDs, MEC_spikes, and MEC_FRtensor; shape (n_cells,)
DOI: 10.17632/khdmjd85w3.3
title: Structural and geochronological constraints on the collision between the Chinese Altai and the West Junggar in Central Asia: implication for deformation response and geodynamic evolution of arc-arc collision

description: This dataset supports the submitted article "Structural and geochronological constraints on the collision between the Chinese Altai and the West Junggar in Central Asia: implication for deformation response and geodynamic evolution of arc-arc collision". It includes a kmz file to show major lithological units and structural patterns in the study area (Data Set 1), and geochronological and Hf isotope data (Data Set 2 and Data Set 3).
DOI: 10.25345/c5t69f
title: MassIVE MSV000085075 - Functional partitioning of a liquid-like organelle during assembly of axonemal dyneins
title: The associated files are the results of AP-MS experiments done from Xenopus multiciliated cells derived from dissected animal caps. Baits used for affinity purification were GFP-dnai2, GFP-wdr78, and GFP-C16orf71. Note that some files associated with the C16orf71 experiments may be mislabeled C16orf11 but reflect the C16orf71 protein nevertheless. Two sets of GFP pulldown controls were used for comparison, one for the dnai2 and wdr78 baits and a separate control for the C16orf71 experiment. The dnai2 and wdr78 sample sets were run on an Orbitrap Fusion and the C16orf71 samples were run on an Orbitrap Fusion Lumos mass spectrometer.
DOI: 10.5281/zenodo.7849501
title: Co-Creation Database

description: The Co-Creation Database groups scientific references on co-creation. It mainly contains the title, abstract, DOI, and authors. Two versions are available: <strong>Version 1.5</strong> includes 13,501 references, from PubMed, ProQuest and CINAHL, from January 1970 to November 2021. Available in RIS (Research Information Systems) format and CSV (CSV UTF-8). <em>Quality metrics: 9.38% false negatives; 20.35% false positives.</em> <strong>Version 2.0 </strong>is an update from a classification model trained with version 1.5. It includes references from Scopus and Web of Science from January 1970 to March 2023, with an update of the previous databases used for version 1.5 from December 2021 to March 2023. Two CSV (CSV UTF-8) files are available. The "Co-Creation Database v2.0 - full.csv" combines the last version, 1.5 and the update, with 52,821 references. The file "Co-Creation Database v2.0 - adding.csv" has only the update, with 39,219 references. <em>Quality metrics: 13.98% false negatives; 36.43% false positives.</em> <strong>To perform your search:</strong> we recommend you extend your search to the title and abstract since some data are initially missing. The RIS file can be uploaded to any references manager (e.g., Zotero, Mendeley, etc.), where you will have the feature to search. For example, here is the link for advanced search instructions in Zotero: https://www.zotero.org/support/searching. Additionally, You can run a Boolean search for CSV files using a Python script. <strong>To improve the database in further updates: </strong>we make available an online form to submit any irrelevant references you may find or to submit any relevant reference not inside the last version. The form is available at the following link: https://forms.office.com/e/6vu9X0kBcw It was produced as part of Health CASCADE, a Marie Skłodowska-Curie Innovative Training Network funded by the European Union's Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement n° 956501. The work is made available under the terms of the license CC-BY-NC-4.0 (Creative Common Attribution - NonCommercial - NoDerivatives 4.0 International).
DOI: 10.5281/zenodo.8058096
title: A 1D Model for Nucleation of Ice from Aerosol Particles: An Application to a Mixed-Phase Arctic Stratus Cloud Layer

description: A 1D Model for Nucleation of Ice from Aerosol Particles: An Application to a Mixed-Phase Arctic Stratus Cloud Layer Daniel A. Knopf<sup>1</sup>*, Israel Silber<sup>2</sup>, Nicole Riemer<sup>3</sup>, Ann M. Fridlind<sup>4</sup>, Andrew S. Ackerman<sup>4</sup> <sup>1</sup>School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA <sup>2</sup>Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, USA <sup>3</sup>Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, IL, USA <sup>4</sup>NASA Goddard Institute for Space Studies, New York, NY, USA Corresponding author: Daniel Knopf (daniel.knopf@stonybrook.edu) <strong>This repository contains all model output data in netCDF format to reproduce simulation results and corresponding figures given in above listed publication.</strong> File name description: Type of parameterization: <em>INN, INAS, ABIFM</em> INP treatment, diagnostic or prognostic: <em>diag, prog</em> Aerosol size distribution: <em>05mu</em>: monodisperse 0.5 μm diameter <em>15mu</em>: monodisperse 0.5 μm diameter <em>polydisperse</em>: polydisperse particle size distribution Model initialization and thermodynamic data: <em>model_data</em> Aerosol/INP data: <em>aerosol_data</em>, <em>polydisperse_data</em> Change in ice nucleation efficiency: <em>10X, 100X</em>
DOI: 10.5281/zenodo.8366197
title: Datasets for Arctic weather variability and connectivity

description: We provide the source data and Python codes for our paper "Arctic weather variability and connectivity".
DOI: 10.6084/m9.figshare.20067254.v2
title: Data of tamarisk nebkhas in different stage.xlsx

description: Comparison of fertile island effects and soil stoichiometry characteristics in tamarisk nebkhas in different desertification stage in 2009 and 2018.
DOI: 10.6084/m9.figshare.20560017
title: COVID-19 data_Myanmar_3rd wave_anonymous.xlsx

description: COVID-19 data during third wave in Myanmar
DOI: 10.6084/m9.figshare.21674249
title: Supplementary Material for: Exploring the Heterogeneity of IgE-Mediated Food Allergy through Latent Class Analysis

description: <b><i>Introduction:</i></b> Food allergy (FA) is a heterogeneous disease with multiple morbidities and a huge burden for patients and healthcare systems. Variable manifestations, comorbidities (atopic dermatitis [AD], asthma, and/or allergic rhinitis [AR]), severity (anaphylaxis), and outcomes suggest the existence of different endotypes that cluster analyses may reveal. In this study, we aimed to investigate distinct subgroups among patients with FAs using data from 524 children/adolescents. <b><i>Methods:</i></b> 524 patients with IgE-mediated FA (353 male [67%]; median age 4.4 years [IQR:3.0–6.8]), 354 (68%) had multiple FA. The history of AD, asthma, AR, and anaphylaxis was recorded in 59.4%, 35.5%, 24.2%, and 51.2% of the patients, respectively. Latent class analysis was carried out to distinguish clinical FA phenotypes using five potential markers of allergy severity (single/multiple FA, never/inactive/current asthma and AD, AR, and anaphylaxis). <b><i>Results:</i></b> Three distinct phenotypes were identified: (1) <i>multiple FA with eczema and respiratory multimorbidity</i> (42%), (2) <i>multiple FA with persistent eczema</i> (34%), and (3) <i>single FA with respiratory multimorbidity without eczema</i> (24%). Compared with the single FA cluster, the prevalence of AD was significantly higher in multiple FA groups. Cluster 1 had the highest frequency of AR and allergic asthma, and the lowest rate of total tolerance of FA. <b><i>Discussion:</i></b> We put forward the hypothesis of underlying pathogenesis according to the clinical phenotypes. While skin barrier defect may play a dominant role in the pathogenesis in Cluster 2, immune dysregulation may be dominant in Cluster 3. In Cluster 1, the most severe group, a combination of both skin barrier defects and immune dysregulation may be responsible for the clinical features.