cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6481089
title: Tracks of Indian Summer monsoon Low-Pressure Systems from ERA5

description: This repository contains the codes and dataset as explained below: 1) This dataset contains downstream and in situ LPS tracks over the Bay of Bengal (BoB) classified using the algorithm developed by Srujan et al. (2021) from 1979-2017 using the ERA5 reanalysis dataset. The LPS are tracked from mean sea level pressure (MSLP) using the algorithm developed by Praveen et al. (2015). 2) This also contains Principal components (PCs) of Rossby filtered OLR. 3) The code to compute Transfer Entropy between PC1 of Rossby filtered OLR over West Pacific region and MSLP anomaly over BoB. <strong>References:</strong> Praveen, V., Sandeep, S., & Ajayamohan, R. S. (2015). <strong>On the relationship between mean monsoon precipitation and low pressure systems in climate model simulations</strong>. <em>Journal of Climate</em>, <em>28</em>(13), 5305-5324. Srujan, K. S. S. S., Sandeep, S., & Suhas, E. (2021). <strong>Downstream and In Situ Genesis of Monsoon Low‐Pressure Systems in Climate Models</strong>. <em>Earth and Space Science</em>, <em>8</em>(9), e2021EA001741.
DOI: 10.5281/zenodo.6331415
title: Tracks of Indian Summer monsoon Low-Pressure Systems from ERA5

description: This repository contains the codes and dataset as explained below: 1) This dataset contains downstream and in situ LPS tracks over the Bay of Bengal (BoB) classified using the algorithm developed by Srujan et al. (2021) from 1979-2017 using the ERA5 reanalysis dataset. The LPS are tracked from mean sea level pressure (MSLP) using the algorithm developed by Praveen et al. (2015). 2) This also contains Principal components (PCs) of Rossby filtered OLR. 3) The code to compute Transfer Entropy between PC1 of Rossby filtered OLR over West Pacific region and MSLP anomaly over BoB. <strong>References:</strong> Praveen, V., Sandeep, S., & Ajayamohan, R. S. (2015). <strong>On the relationship between mean monsoon precipitation and low pressure systems in climate model simulations</strong>. <em>Journal of Climate</em>, <em>28</em>(13), 5305-5324. Srujan, K. S. S. S., Sandeep, S., & Suhas, E. (2021). <strong>Downstream and In Situ Genesis of Monsoon Low‐Pressure Systems in Climate Models</strong>. <em>Earth and Space Science</em>, <em>8</em>(9), e2021EA001741.
DOI: 10.6084/m9.figshare.19376300.v2
title: Genetic associations of birthweight, childhood and adult BMI on testosterone levels in both sexes: a Mendelian randomization

description: supplementary materials
DOI: 10.6084/m9.figshare.19376300
title: Genetic associations of birthweight, childhood and adult BMI on testosterone levels in both sexes: a Mendelian randomization

description: supplementary materials
DOI: 10.6084/m9.figshare.19376300.v1
title: Genetic associations of birthweight, childhood and adult BMI on testosterone levels in both sexes: a Mendelian randomization

description: supplementary materials
DOI: 10.3886/icpsr37196.v1
title: State Court Organization Trends, United States, 1980-2011
title: Version 1

description: This data collection provides detailed comparative information about the structure, policies, and procedures of state-wide trial and appellate court systems for the 50 states and the District of Columbia within the United States for the years 1980, 1987, 1993, 1998, 2004, and 2011. Information gathered includes: the number of courts and judges, judicial selection, governance of court systems (including judicial funding, administration, staffing, and procedures), jury qualifications and verdict rules, and processing and sentencing procedures of criminal cases. Data collection was carried out by the National Center for State Courts.
description: Data for the 1980, 1987, 1993, 1998, 2004, and 2011 State Court Organization (SCO) reports were collected by the National Center for State Courts (NCSC) with funding provided by the Bureau of Justice Statistics (BJS). Data collections prior to 2011 were mail surveys to state court administrators in all 50 states and the District of Columbia. The 2011 SCO collected information from this same set of state court administrators, but the 2011 collection was primarily web-based with paper surveys made available for respondents that preferred or needed a traditional response mode. A survey aimed at state court administrators was designed to collect information on court organization, administration, and operation. Separate surveys designed to collect descriptive information (e.g., budget and staffing) were sent to appellate courts and trial courts. While respondents provided most of the information to complete the survey, staff at NCSC also compiled information on specific laws, legal procedures, and legal practices that applied statewide.
description: This collection includes State Court Organization (SCO) data from 1980, 1987, 1993, 1998, 2004, and 2011 for all 50 states and the District of Columbia. It does not include information on Puerto Rico and the U.S. territories.
description: Datasets: DS1: State Court Organization Trends, United States, 1980-2011
description: Statewide appellate and trial courts in the 50 states and the District of Columbia. Smallest Geographic Unit: State
description: mail questionnaire; web-based surveyFor related collections, please see: State Court Organization, 1998: [United States] (ICPSR 2854), State Court Organizations, 2004 [United States] (ICPSR 4575), and State Court Organization, United States, 2011 (ICPSR 37195)
DOI: 10.34740/kaggle/dsv/3520166
title: COVID Vaccination in World (updated daily)
DOI: 10.3886/icpsr37226.v1
title: Chinese Longitudinal Healthy Longevity Survey (CLHLS), Biomarkers Datasets, 2009, 2012, 2014
title: Version 1

description: The Chinese Longitudinal Healthy Longevity Survey (CLHLS) biomarkers datasets were collected by the Center for Healthy Aging and Development Studies (CHADS) of National School of Development at Peking University and Chinese Center for Disease Control and Prevention (CDC). The datasets are compromised of the in-depth studies conducted in 8 longevity areas in the CLHLS' 5th, 6th and 7th waves in 2009, 2012 and 2014, respectively. During these studies, China CDC local network medical doctors conducted physical examinations of the participants and collected 7,334 samples from the centenarians, the oldest-old aged 90-99 and other younger age groups. The biomarkers datasets contain about 30 indicators on routine blood/urine tests and blood biochemical tests. The demographic variables in this collection include age and sex.
description: The Chinese Longitudinal Healthy Longevity Study (CLHLS) collected biomarker data from participants in the in-depth studies of the longevity areas in order to study the health conditions of different age groups and their determinants and confront the challenge of population aging.
description: Face-to-face interviews were conducted using the same questionnaires used in the other study sites of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). China Center for Disease Control and Prevention (CDC) local network medical doctors conducted physical examinations of the participants. The doctors also collected blood samples and urine samples from centenarians, the oldest-old aged 80-99 and other younger age groups.
description: Response Rates: 97.7 percent
description: All centenarians from the 8 longevity areas in China who agreed to participate in the study were interviewed. The 8 longevity areas are as follows: Laizhou of Shandong Province Xiayi of Henan Province Zhongxiang of Hubei Province Mayang of Hunan Province Sanshui of Guangdong Province Yongfu of Guangxi Autonomous Region Chengmai of Hainan Province Rudong of Jiangsu Province For each centenarian, one octogenarian aged 80-89 living nearby, one nearby nonagenarian aged 90-99, and one nearby younger elder aged 65-79 of predesignated age and sex were interviewed.
description: Datasets: DS0: Study-Level Files DS1: 2009 Data DS2: 2012 Data DS3: 2014 Data
description: The most elderly population in the 8 longevity areas in China during 2009 through 2014. Smallest Geographic Unit: province
description: computer-assisted self interview (CASI); coded on-site observation; cognitive assessment test; face-to-face interviewAll data files in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) can be linked using a key variable called ID.Additional information about the Chinese Longitudinal Healthy Longevity Survey as well as study design can be found at the Duke Center for the Study of Aging and Human Development website.
DOI: 10.3886/icpsr37237.v3
title: Midlife in the United States: Core Sample Mortality Data, 2016
title: Version 3

description: In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 [ICPSR 2760]. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. With support from the National Institute on Aging, an initial follow-up of the original Midlife Development in the United States (MIDUS) samples was conducted in 2004 (MIDUS 2). The daily stress and cognitive functioning projects were repeated at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience. In 2005, a baseline sample of 592 African Americans from Milwaukee was added to MIDUS to examine health issues in minority populations. In 2013 a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., economic recession experiences, optimism and coping, stressful life events, and caregiving). A third wave of cognitive functioning data and a second wave of the Milwaukee sample were also collected. Data collection for the daily diary, biomarkers, and neuroscience is ongoing. This dataset includes all known MIDUS decedents (N=1,511) from the Core National and Milwaukee samples as of December 2016.
description: The primary purpose of this study was to obtain information about the underlying cause of death for Midlife in the United States (MIDUS) and Milwaukee decedents.
description: The data set contains 10 variables and 1,511 cases. The variables include decedent status, source of decedent information, month and year of death, and International Classification of Diseases (ICD) codes. The demographic variable, gender, is also included.
description: 1511 prior participants in the MIDUS series with a confirmed decedent status.
description: Datasets: DS1: Midlife in the United States: Core Sample Mortality Data, 2016
description: All decedent participants of the MIDUS series. Smallest Geographic Unit: None
description: record abstractsThe variable M2ID is the linking variable in this collection. The data in this collection can be linked to all core MIDUS data sets using the variable M2ID, including wave 1 (ICPSR 2760), wave 2 (ICPSR 4652), and wave 3 (36346).Additional information about the Midlife Development in the United States study can be found at the MIDUS Web site.
DOI: 10.3886/icpsr37272.v1
title: Los Angeles Family and Neighborhood Survey (L.A.FANS), Restricted Neighborhood Observations Data, 2000-2001
title: Version 1

description: This study is a restricted data file of data from the L.A.FANS Neighborhood Observation Study, an in-person observational by trained L.A.FANS interviewers of the census blocks on which L.A.FANS respondents lived during L.A.FANS Wave 1. Interviewers were trained to walk each block face and record social and physical observations on precoded check sheets. Each block face was observed by several different interviewers working independently at different times of the day and week. These data are designed to be used with L.A.FANS Wave-1 survey interview data restricted versions 2.5 or 3 to provide data on the census block and census tract in which individual respondents lived. Users who apply for these restricted data must also be approved for using restricted version 2.5 or 3. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. The study is described in detail in the L.A.FANS Neighborhood Observations Codebook. Further information is available in: Jones, M., Pebley, A. R., and Sastry, N. (2011). Eyes on the block: Measuring urban physical disorder through in-person observation. Social Science Research, 40(2), 523-537.
description: L.A.FANS is based on a stratified random sample of 65 neighborhoods (census tracts) in Los Angeles County, California. Poor neighborhoods/tracts were oversampled. Within each tract, census blocks were sampled with probability proportional to population size. Households were selected for interview in Wave 1 from among the addresses within sampled census blocks.
description: Datasets: DS0: Study-Level Files DS1: Neighborhood Observation Cover File DS2: Neighborhood Physical and Social Observations File DS3: Alley Observations File
description: Households in Los Angeles County. Smallest Geographic Unit: Census block
description: coded on-site observationL.A.FANS Neighborhood Observations Questionnaires are available to read or download in the L.A.FANS Neighborhood Observations Codebook.
DOI: 10.3886/icpsr37276.v1
title: Firearm Injury Surveillance Study, 1993-2015
title: Version 1

description: These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2015. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.
description: A weight variable (WT_C) is present in the data.
description: The sample design of NEISS is a stratified, probability sample of all United States hospitals that had at least six beds and provided 24-hour emergency services. There were four hospital-sized strata (defined as very large, large, medium, and small, based on the number of annual ED visits) and one children's hospital stratum. From 1993 through 1996, there were 91 NEISS hospital EDs in the sample. In 1997, the sampling frame was updated so that in 1997 through 1999 the sample included 101 NEISS hospital EDs. In 2000-2001, one NEISS hospital dropped out of the system, so there were 100 NEISS hospital EDs in the sample. In 2002, another hospital dropped out of the system, so there were 99 NEISS hospital EDs in the sampling frame. In 1997, CPSC collected firearm-related cases using the "old" and "new" NEISS hospital samples for a nine-month period. This dataset includes data from the "new" sample. The overlapping "old" sample is not included. Comparisons of weighted estimates based on the "old" and "new" samples indicated a difference of about 1 percent in the overall national estimate using these samples. The characteristics of firearm-related cases from these two overlapping samples were also very similar.
description: Datasets: DS1: Firearm Injury Surveillance Study, 1993-2015
description: United States hospitals providing emergency services.
description: computer-assisted self interview (CASI); self-enumerated questionnaire
DOI: 10.34740/kaggle/dsv/3520348
title: Dutch News Articles
DOI: 10.6084/m9.figshare.19640892
title: Datas of study

description: We evaluated oxidative stress parameters and DNA damage before and after treatment in children with B12 deficiency in this study.
DOI: 10.6084/m9.figshare.19640892.v3
title: Datas of study

description: We evaluated oxidative stress parameters and DNA damage before and after treatment in children with B12 deficiency in this study.
DOI: 10.5281/zenodo.6481157
title: augmentation_data_for_DAISM

description: The purified dataset for data augmentation for DAISM-DNN<sup>XMBD</sup> can be downloaded from this repository. The pbmc8k dataset downloaded from 10X Genomics were processed and uesd for data augmentation to create training datasets for training DAISM-DNN models. pbmc8k.h5ad contains 5 cell types (B.cells, CD4.T.cells, CD8.T.cells, monocytic.lineage, NK.cells), and pbmc8k_fine.h5ad cantains 7 cell types (naive.B.cells, memory.B.cells, naive.CD4.T.cells, memory.CD4.T.cells,naive.CD8.T.cells, memory.CD8.T.cells, regulatory.T.cells, monocytes, macrophages, myeloid.dendritic.cells, NK.cells). For RNA-seq dataset, it contains 5 cell types (B.cells, CD4.T.cells, CD8.T.cells, monocytic.lineage, NK.cells). Raw FASTQ reads were downloaded from the NCBI website, and transcription and gene-level expression quantification were performed using Salmon (version 0.11.3) with Gencode v29 after quality control of FASTQ reads using fastp. All tools were used with default parameters.
description: {"references": ["Lin Y, Li H, Xiao X, et al. DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks. Patterns (2022) https://doi.org/10.1016/j.patter.2022.100440"]}
DOI: 10.5281/zenodo.6481156
title: augmentation_data_for_DAISM

description: The purified dataset for data augmentation for DAISM-DNN<sup>XMBD</sup> can be downloaded from this repository. The pbmc8k dataset downloaded from 10X Genomics were processed and uesd for data augmentation to create training datasets for training DAISM-DNN models. pbmc8k.h5ad contains 5 cell types (B.cells, CD4.T.cells, CD8.T.cells, monocytic.lineage, NK.cells), and pbmc8k_fine.h5ad cantains 7 cell types (naive.B.cells, memory.B.cells, naive.CD4.T.cells, memory.CD4.T.cells,naive.CD8.T.cells, memory.CD8.T.cells, regulatory.T.cells, monocytes, macrophages, myeloid.dendritic.cells, NK.cells). For RNA-seq dataset, it contains 5 cell types (B.cells, CD4.T.cells, CD8.T.cells, monocytic.lineage, NK.cells). Raw FASTQ reads were downloaded from the NCBI website, and transcription and gene-level expression quantification were performed using Salmon (version 0.11.3) with Gencode v29 after quality control of FASTQ reads using fastp. All tools were used with default parameters.
description: {"references": ["Lin Y, Li H, Xiao X, et al. DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks. Patterns (2022) https://doi.org/10.1016/j.patter.2022.100440"]}
DOI: 10.5281/zenodo.6481167
title: Supplement table of mesozooplankton taxa obtained using long-read and short-read metabarcoding

description: Supplement tables containing information about publications on mesozooplankton taxa in the Ross Sea using two metabarcoding analyses
DOI: 10.5281/zenodo.6481166
title: Supplement table of mesozooplankton taxa obtained using long-read and short-read metabarcoding

description: Supplement tables containing information about publications on mesozooplankton taxa in the Ross Sea using two metabarcoding analyses
DOI: 10.3886/e113232v1-116020
title: Replication data for: Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show

description: We examine the risky choices of contestants in the popular TV game show "Deal or No Deal" and related classroom experiments. Contrary to the traditional view of expected utility theory, the choices can be explained in large part by previous outcomes experienced during the game. Risk aversion decreases after earlier expectations have been shattered by unfavorable outcomes or surpassed by favorable outcomes. Our results point to reference-dependent choice theories such as prospect theory, and suggest that path-dependence is relevant, even when the choice problems are simple and well defined, and when large real monetary amounts are at stake. (JEL D81)
description: Contestants in Deal or No Deal.
DOI: 10.3886/icpsr37339.v1
title: Using Public Health Databases to Analyze Legal Intervention Shootings, United States, 2006-2017
title: Version 1

description: This project used national databases to describe the incidence and distribution of fatal and nonfatal police shootings and to develop an empirically based typology of legal intervention homicides. To accomplish this, the study team evaluated the comprehensiveness of the National Violent Death Reporting System (NVDRS) for fatal police shootings along with various open-source databases. The study team also explained the variation across states in fatal police shootings using a validated national database (Washington Post "Fatal Force Database") and is currently examining the variation in fatal police shooting across urban vs. rural areas.
description: The purpose of this study was to use national databases to describe the incidence and distribution of fatal and nonfatal police shootings and to develop an empirically based typology of legal intervention homicides.
description: Not applicable.
description: Presence of Common Scales: None.
description: Datasets: DS0: Study-Level Files DS1: Crowdsourced LIH Linked 2015 in 27 States Data DS2: LIHs by County with Urban Rural Designations 2015-2018 Data DS3: LIHs by ZCTA with Urban Rural Designations Data DS4: Nonfatal Legal Intervention Injuries 2006-2014 Aggregated By NCHS Urban-Rural Data DS5: State-Level Washington Post Fatal Force 2015-2017 Data
description: Population shot and killed, or wounded, by law enforcement officers in the USA. Smallest Geographic Unit: Country
description: record abstracts
DOI: 10.6084/m9.figshare.19642596
title: 123

description: 1234
DOI: 10.6084/m9.figshare.19642596.v2
title: 123

description: 1234
DOI: 10.6084/m9.figshare.19642596.v1
title: IHC.zip

description: Raw data of immunohistochemical staining.
DOI: 10.5281/zenodo.6481133
title: MoDL: Model-Based Deep Learning Dataset

description: This is the fully sampled raw dataset used in the MoDL paper acquired using the 3D T2-CUBE sequence at the University of Iowa. Please see the paper for the details. If you use this dataset then please consider citing this paper. Titled : MoDL: Model-Based Deep Learning Architecture for Inverse Problems by H.K. Aggarwal, M.P Mani, and Mathews Jacob in IEEE Transactions on Medical Imaging, 2019 IEEExplore Link: https://ieeexplore.ieee.org/document/8434321 Arxiv paper PDF Link: https://arxiv.org/abs/1712.02862 Python Source code link: https://github.com/hkaggarwal/modl Thank you
DOI: 10.5519/qd.x3od5v2y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2301 records)