cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/kjp8-e667
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 150+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.3886/e116247v1-24731
title: Replication data for: Globalization and Emerging Markets: With or Without Crash?

description: We analyze the effects of financial and trade globalization on the likelihood of financial crashes in emerging markets. While trade globalization always makes crashes less likely, financial globalization may make them more likely, especially when trade costs are high. Pessimistic expectations can be self-fulfilling and lead to a collapse in demand for goods and assets. Such a crash comes with a current account reversal and drops in income and investment. Lower-income countries are more prone to such demand-based financial crises. A quantitative evaluation shows our model is consistent with the main stylized facts of financial crashes in emerging markets. (JEL F12, F32, F37, F41, O16)
DOI: 10.5281/zenodo.3870967
title: Data from Mehra et al. (2020-05-29), "Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis"

description: Recent reports have identified errors and implausible results in the title paper, few of which have been corrected to date. To facilitate analysis, I provide a spreadsheet containing all data from tables in the corrected version (2020-05-29), from both the main text (html) and supporting information (PDF). <br> The data is uploaded to this publicly-funded repository with the permission of the copyright holder: <em>"Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories ... with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source."</em> Text and data mining are also permitted: <em>"These articles are also available to download with rights for full text and data mining, re-use and analyses for as long as needed."</em>
description: {"references": ["Mehra, M. R., Desai, S. S., Ruschitzka, F., & Patel, A. N. (2020). Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a\u00a0multinational registry analysis. Lancet, http://doi.org/ggwzsb", "James Watson, 182 signatories. (2020). An open letter to Mehra et al and The Lancet. Zenodo. http://doi.org/dw8t"]}
DOI: 10.17632/7hgjsf7hy9.1
title: Infodemic/disinfodemic and COVID
DOI: 10.17632/g2cszrfrww.1
title: Hazard Mitigation Assistance and National Flood Insurance Program Data

description: Publicly-available files for disaster declarations, Census data, Hazard Mitigation Assistance (HMA) grants (projects & properties), Emergency Management Performance Grants (EMPG), and National Flood Insurance Program (NFIP) claims.
DOI: 10.17632/ggv86yxtxr.2
title: Funcionamiento de las formas apelativas pronominales en español moderno = Функционирование местоименных форм обращения в современном испанском языке

description: En España el sistema de las formas pronominales de apelación está representado por la oposición entre las formas tú/usted (singular) y vosotros/ustedes (plural), en Colombia y Ecuador se da una oposición más compleja con las formas tú, vos contrapuestas a usted, su merced en singular el apelativo ustedes en plural (en este ultimo caso el sistema de formas pronominales de tratamiento es más sencillo en comparación al de España, con su oposición vosotros/ustedes). En Méjico y Cuba, el sistema de tratamientos pronominales está integrado por los pronombres personales tú/usted, ustedes. En Argentina, el juego de formas es el siguiente: vos, tú/usted (singular), ustedes (plural).
DOI: 10.17632/xdxh8stc48.1
title: The significant role of biomass burning aerosols in clouds and radiation in the South-eastern Atlantic Ocean

description: Processed UKESM1 model simulation data
DOI: 10.17632/xdxh8stc48.2
title: Biomass burning aerosols effects in the South-eastern Atlantic Ocean

description: Processed UKESM1 model simulation data
DOI: 10.18112/openneuro.ds001371.v1.0.2
title: Rule learning in adolescents at clinical high risk for psychosis shows altered patterns of activation
DOI: 10.5281/zenodo.3870966
title: Data from Mehra et al. (2020-05-29), "Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis"

description: Recent reports have identified errors and implausible results in the title paper, few of which have been corrected to date. To facilitate analysis, I provide a spreadsheet containing all data from tables in the corrected version (2020-05-29), from both the main text (html) and supporting information (PDF). <br> The data is uploaded to this publicly-funded repository with the permission of the copyright holder: <em>"Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories ... with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source."</em> Text and data mining are also permitted: <em>"These articles are also available to download with rights for full text and data mining, re-use and analyses for as long as needed."</em>
description: {"references": ["Mehra, M. R., Desai, S. S., Ruschitzka, F., & Patel, A. N. (2020). Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a\u00a0multinational registry analysis. Lancet, http://doi.org/ggwzsb", "James Watson, 182 signatories. (2020). An open letter to Mehra et al and The Lancet. Zenodo. http://doi.org/dw8t"]}
DOI: 10.6073/pasta/6f33c7f163cf7edeeee96fbbd66f2d5e
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-COLL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.17632/bbysbymzbt.1
title: Poultry firms and vertical integration in Ghana

description: The study seeks investigates the influence of vertical integration on poultry firms performance. Data is about demographic and characteristics of poultry firms and managers as well as the financial performance of poultry firms in Ghana. Data was collected in the period of December 2016 to January 2019
DOI: 10.17632/cdx3p3npk4.1
title: Students' survey on urban identity

description: The Committee for the Protection of Monuments in St. Petersburg (Russia) conducts educational work for schoolchildren and students. Since 2016, students of the Department of Social Technologies of the RANEPA have been participating in an educational and research project on urban identity also. In 2018, we decided to conduct a monitoring of urban identity and self-identification by students collaborated with committee projects. Poll was placed in a public Internet environment, Google Surveys, everyone could fill it, however, the link was recommended to be filled by schoolchildren and student partners KGIOP projects. The survey also had a reinforcing educational function - do they know that the object “The historical center of St. Petersburg and a related group of monuments ”is included in the UNESCO World Heritage List? There were 174 answers by students who live in St. Petersburg. Many of them came from other cities, but almost all have the identity of a Petersburger. There are several open questions of the online questionnaire: What makes Petersburg different from other cities of the world? Who is a Petersburger of the XXI century and what are his qualities? What is the “spirit of Petersburg”? - they are projections in terms of psychology, therefore, using semiotic methods, one can reconstruct practices, meanings and values. Questions appeal to our claim that identity is connected with the basic needs: belonging to a place that is maintained and taken care of, managed, shared with other people, provides an opportunity for creative expression. These needs go back to Jung’s analytical psychology, but are also well known through Maslow’s hierarchy of needs in humanistic social psychology. The question of the spirit of the city allows us to understand the significant practices of the place that create the special atmosphere of the city 'genius loci', felt by the younger generation. The question on ideal Petersburger refers to projective identification and self-description. We are wondering if there are significant differences in the perception of self-identity and city identity of young city residents from previous generations, stereotypes and traditional views.
DOI: 10.17632/cx297hzkjk.1
title: Dataset for the paper entitled: "Endogenous DNA 3' blocks are vulnerabilities for BRCA1 and BRCA2 deficiency and are reversed by the APE2 nuclease". Alvarez-Quilon et al. 2020
DOI: 10.3886/e119702
title: Teachers’ Emotions during Video-based Teacher Professional Development

description: These files contain the anonymized data used to create the tables and figures found in "Exploring Teachers’ Emotions via Nonverbal Behavior during Video-based Teacher Professional Development". <br><br>Please refer to the abstract for the paper below: <br><br> Increasing research on teacher professional development (TPD) has found teachers’ self-reflection to be key for improving teaching effectiveness. Although video methodology, as often used in TPD, provides crucial insight concerning situated learning, teachers are often reticent to participate in TPD protocols due to discomfort over being videotaped. This longitudinal study explored emotion-related behaviors by assessing the nonverbal expressions exhibited by teachers during a 1-year video-based TPD program highlighting salient contributors to productive classroom dialogue. Six teachers were observed regarding bodily motion, facial expression, and eye contact, with results obtained across four workshops coded according to five types of emotions. The emotions of shame, defensiveness, and distraction appeared more often than did laughter and surprise, with the negative emotions found to decrease over time. This study highlights the importance of longitudinally evaluating teachers’ emotional expressions during video-based TPD activities and continued efforts to encourage teacher participation in these pedagogical training opportunities.
DOI: 10.3886/e119702v1
title: Teachers’ Emotions during Video-based Video-based Teacher Professional Development

description: These files contain the anonymized data used to create the tables and figures found in "Exploring Teachers’ Emotions via Nonverbal Behavior during Video-based Teacher Professional Development". <br> Please refer to the abstract for the paper below: <br> Increasing research on teacher professional development (TPD) has found teachers’ self-reflection to be key for improving teaching effectiveness. Although video methodology, as often used in TPD, provides crucial insight concerning situated learning, teachers are often reticent to participate in TPD protocols due to discomfort over being videotaped. This longitudinal study explored emotion-related behaviors by assessing the nonverbal expressions exhibited by teachers during a 1-year video-based TPD program highlighting salient contributors to productive classroom dialogue. Six teachers were observed regarding bodily motion, facial expression, and eye contact, with results obtained across four workshops coded according to five types of emotions. The emotions of shame, defensiveness, and distraction appeared more often than did laughter and surprise, with the negative emotions found to decrease over time. This study highlights the importance of longitudinally evaluating teachers’ emotional expressions during video-based TPD activities and continued efforts to encourage teacher participation in these pedagogical training opportunities.
DOI: 10.17632/9mwkcwkjh8.2
title: Data for: A bibliometric review of global research on management and public policy dataset

description: This research utilizes bibliometric review of global management and public research in 2000-2019, through co-word analysis, co-author analysis, journal analysis, institution analysis, and country analysis. A total of 19,050 bibliographic records from Scopus core collection databases were selected and analyzed. The findings reveal an evolution of the research field on the management and public policy. The purpose of this data article
DOI: 10.17632/d5kck749zs.2
title: Dataset on determinants of intention and investment behaviour among Indonesian young millennials

description: The dataset describes three factors (i.e. financial literacy, self-control, peer-influence) that influence an investment behaviour among Indonesian young millennials. The demographic information from the participants includes gender, age and allowance
DOI: 10.17632/hvgg35pz5k.1
title: Effect of Proximal End versus Middle Continuous Adductor Canal Block after Total Knee Arthroplasty

description: Study Objective: In this study, we localized the proximal end of the abbductor canal (AC) at which the medial borders of the sartorius and adductor longus muscles align (visualized with ultrasound guidance) to evaluate the analgesic effect of proximal end versus middle continuous adductor canal blocks (ACBs). Design: Prospective, randomized, double-blind, controlled study. Setting: The study was performed in the procedure room, operating room, and the inpatient ward at the Peking Union Medical College Hospital (Beijing, China). Patients: Patients between the ages of 18 and 70 years with an American Society of Anesthesiologists score of I-III who were scheduled for a unilateral total knee anthroplasty (TKA) were included. Sixty patients completed the study, including 30 in each treatment group. Interventions: Patients undergoing a unilateral TKA were randomized to receive continuous ACB (loading dose of 10 ml of 0.2% ropivacaine, followed by 6 ml/h of 0.2% ropivacaine until 48 h after the surgery) at the proximal end or middle of the canal. All patients received patient-controlled intravenous analgesia with sulfentanil after the surgery. Measurements: The primary outcome measure was the cumulative sulfentanil consumption within 24 h after surgery, which was analyzed using Mann-Whitney U tests. P-values &lt;0.05 (two-sided) were considered statistically significant. Main Results: The 24 h sulfentanil consumption was 0.22 µg/kg (interquartile range: 0.15–0.40 µg/kg) in the proximal end group and 0.39 µg/kg (interquartile range: 0.23–0.52 µg/kg) in the middle group (P = 0.026). Conclusions: For patients undergoing TKA, the opioid-sparing effect of continuous ACB is improved with a catheter inserted at the level of the proximal end of the canal, which was identified as the intersection of the medial borders of satorious and adductor longus muscles in the ultrasound image, compared with at the middle of the canal
DOI: 10.17632/jzctvf859b.3
title: Regarding the Occurrence of Hebephrenic Symptoms in Schizophrenia

description: After more than 50 years experience of clincially treating and researching on schizophrenia, this is my hyopthesis about a plausible mechanism of the occurence of the various symptoms that are evident with the disorder.
DOI: 10.17632/smxkyhtdvj.3
title: Random Forest Nowcasts

description: A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of precipitation predictions from radar nowcasts and numerical weather predictions (AROME), as well as other variables from the numerical weather predictions. The results demonstrate that the random forest model can improve the precipitation predictions by the radar nowcasts and the numerical weather predictions. This dataset provides the predictand (i.e. precipitation observation) and 17 predictors (radar nowcasts and AROME variables) for building a random forest model to process the radar-based nowcasts at 41 stations in Norway for the years 2017 and 2018. The geographic information of the stations is also provided. Explanations of variable names in Data_2017.csv and Data_2018.csv: RR1hr: accumulated precipitation in 1 hour (mm) RR6hr: accumulated precipitation in 6 hours (mm) radar: radar nowcasts obs: observations SLP: sea level pressure AF: area fraction LowC: low type cloud MediumC: medium type cloud HighC: hight type cloud ABLT: Atmospheric boundary layer thickness WSNT: Wind speed normal to the topographic aspect DD(1000-500mb): Average dew point depression from 1000 mb to 500 mb K: K index rand: a sequence of random number Observations are recorded at each weather station. Other meteorological fields are the average of the grid point value closest to the station and the mean grid values weighted by the inverse of the distance from the center of a square of 100km X 100km, centered at the grid point closest to the station. The original data are provided by the Norwegian Meteorological Institute.
DOI: 10.21227/6e64-s941
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 150+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.3886/e118908v2
title: Data and Code for: Family Labor Supply Responses to Severe Health Shocks: Evidence from Danish Administrative Records

description: We provide new evidence on households’ labor supply responses to fatal and severe non-fatal health shocks in the short- and medium-run. To identify causal effects, we leverage administrative data on Danish families and construct counterfactuals using households that experience the same event a few years apart. Fatal events lead to considerable increases in surviving spouses’ labor supply, which the evidence suggests is driven by families who experience significant income losses. Non-fatal shocks have no meaningful effects on spousal labor supply, consistent with their adequate insurance coverage. The results support self-insurance as a driving mechanism for the family labor supply responses.
DOI: 10.5281/zenodo.3873788
title: QiQs_shito2020

description: QiQs structures obtained by Shito et al. (2020, submitted to JGR).
DOI: 10.5281/zenodo.3873789
title: QiQs_shito2020

description: QiQs structures obtained by Shito et al. (2020, submitted to JGR).
DOI: 10.5281/zenodo.3874297
title: liuqiaoxia/GRL-manuscript-2020GL089031-data: first release of my grl data

description: this is the first release
DOI: 10.17632/428zsnnkmj.3
title: Aerofoil drag reduction by shape optimization

description: Aerofoil drag reduction by optimizing the frontal surface of the aerofoil.
DOI: 10.17632/bnr8yypvsb.1
title: Images used for the validation of the effectiveness of HVSA (High-visibility safety apparel)

description: Includes the 45 images used in the tests for the validatation of a new methodology for determining effective colors for high-visibility safety. The validation dataset consisted of 3 sets of 15 images. Each set depicted a different construction project. Photographs in Set A depict different stages of a short offshore removal operation. A barge is fitted with a lifting tower and sails at an offshore platform where six fenders are lifted and transported to the shore. Set B includes pictures from a fabrication hall where heavy steel structures are fabricated. Set C consist of photographs from the transport and installation of foundation structures for offshore wind turbines. Ground-truth bounding boxes have been included to show the location of workers