cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6473585
title: Training dataset for HeLa "Kyoto" cells under the scope

description: The Patches folder contains the training patches with csv files of cells 2 steps before the division and 2 steps in time after the division for 5 channels of the Kyoto Hela cells, the Oneat folder contains the json file of the cell categories and the map of XYTHW locations and its corresponding integer labels. The dataset is intended to be used for training oneat networks for these cells in different imaging modalities. Training patches with labels for 5 channels of hela cells: trainX, trainY = 64, 64, tminus = 2, tplus = 2, whole image was normalized using percentile based normalization pre patch making process. Patches made without segmentation image as input so height and width = 1 in yolo training labels. Made by oneat software, pip install oneat for training of such datasets. Original data published by Romain Guiet at https://zenodo.org/record/6139958#.YmAh1NpBxhG
description: Computational support provided by Jean Zay dynamic access grant: AD011013396
DOI: 10.5281/zenodo.6473500
title: RNAseq of Apple Flower Stigma wash-off

description: RNAseq of apple flower stigma wash-off. HiSeq 2x 150bp.
DOI: 10.5281/zenodo.6473499
title: RNAseq of Apple Flower Stigma wash-off

description: RNAseq of apple flower stigma wash-off. HiSeq 2x 150bp.
DOI: 10.3886/icpsr04522.v1
title: Washington Post Virginia Governor Poll #2, October 2005
title: Version 1

description: This special topic poll, fielded October 23-26, 2005, was undertaken to assess respondents' opinions on Virginia's 2005 gubernatorial election. Respondents were asked if they were registered to vote, their probability of voting in the upcoming election, how closely they were following the campaign, which candidate they were likely to vote for, and whether endorsements for candidates increased their probability of voting for them. The survey also asked for opinions on the performances of President George W. Bush and Governor Mark Warner, the overall conditions in Virginia and the United States, and respondents' knowledge of and opinions about the candidates for governor. Respondents' opinions were also sought about whether candidates were running positive or negative campaigns and which issues held the most importance in determining which candidate they would vote for. Respondents were queried on their views about whether taxes should be decided by a statewide vote or the legislature, state transportation plans, the impact of immigrants on their community, and if they supported the use of public funds to assist day laborers in finding work. The survey also included questions about the respondents' views of abortion and the death penalty. Demographic information includes political affiliation, political ideology, education, age, religious affiliation, marital status, sex, race, and income.
description: The data contain a weight variable (WEIGHT) that should be used in analyzing the data. The data were weighted using demographic information from the Census to adjust for sampling and nonsampling deviations from population values. Respondents customarily were classified into one of 48 cells based on age, race, sex and education. Weights were assigned so the proportion in each of these 48 cells matched the actual population proportion according to the Census Bureau's most recent Current Population Survey.
description: Households were selected by random-digit dialing. Within households, the respondent selected was the adult living in the household who last had a birthday and who was home at the time of the interview.
description: Datasets: DS1: Washington Post Virginia Governor Poll #2, October 2005
description: Persons aged 18 and over living in households with telephones in the state of Virginia.
description: telephone interviewAdditional information about sampling, interviewing, and sampling error may be found in the codebook.System missing values were recoded to -1.FIPS and ZIP variables were recoded for confidentiality.Value labels for unknown/missing codes were added in the CBSA variable.The variable CASEID was created for use with online analysis.
DOI: 10.3886/icpsr04522
title: Washington Post Virginia Governor Poll #2, October 2005
title: Archival Version

description: This special topic poll, fielded October 23-26, 2005, was undertaken to assess respondents' opinions on Virginia's 2005 gubernatorial election. Respondents were asked if they were registered to vote, their probability of voting in the upcoming election, how closely they were following the campaign, which candidate they were likely to vote for, and whether endorsements for candidates increased their probability of voting for them. The survey also asked for opinions on the performances of President George W. Bush and Governor Mark Warner, the overall conditions in Virginia and the United States, and respondents' knowledge of and opinions about the candidates for governor. Respondents' opinions were also sought about whether candidates were running positive or negative campaigns and which issues held the most importance in determining which candidate they would vote for. Respondents were queried on their views about whether taxes should be decided by a statewide vote or the legislature, state transportation plans, the impact of immigrants on their community, and if they supported the use of public funds to assist day laborers in finding work. The survey also included questions about the respondents' views of abortion and the death penalty. Demographic information includes political affiliation, political ideology, education, age, religious affiliation, marital status, sex, race, and income.
description: The data contain a weight variable (WEIGHT) that should be used in analyzing the data. The data were weighted using demographic information from the Census to adjust for sampling and nonsampling deviations from population values. Respondents customarily were classified into one of 48 cells based on age, race, sex and education. Weights were assigned so the proportion in each of these 48 cells matched the actual population proportion according to the Census Bureau's most recent Current Population Survey.
description: Households were selected by random-digit dialing. Within households, the respondent selected was the adult living in the household who last had a birthday and who was home at the time of the interview.
description: Datasets: DS1: Washington Post Virginia Governor Poll #2, October 2005
description: Persons aged 18 and over living in households with telephones in the state of Virginia.
description: telephone interviewAdditional information about sampling, interviewing, and sampling error may be found in the codebook.System missing values were recoded to -1.FIPS and ZIP variables were recoded for confidentiality.Value labels for unknown/missing codes were added in the CBSA variable.The variable CASEID was created for use with online analysis.
DOI: 10.6073/pasta/449a810468445ef1ce60769466cd1fad
title: SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000

description: These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest reefs in the Santa Barbara Channel (2-8 transects per reef). Abundance is measured anually (as percent cover or density, by size) and converted to biomass using published taxon-sppecific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. See Methods for more information.
DOI: 10.34681/3p05-nn32
title: Adoption and Foster Care Analysis System (AFCARS) Adoption File

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system that receives case-level information on all children in foster care and those who have been adopted with a state agency’s involvement and report this data to the Department of Health and Human Services/Administration for Children and Families/Administration on Children Youth and Families/Children’s Bureau. From the Children’s Bureau, the data collected by AFCARS is submitted to the National Data Archive on Child Abuse and Neglect at Cornell University for distribution to qualified users. This Guide is intended to provide background and guidance on use of the AFCARS data.
AFCARS data are used by the Children’s Bureau for providing summary data to the public, for monitoring states’ progress on improving child welfare programs, for allotting funds for various programs, and for data quality improvement. The data housed by NDACAN is used most commonly for academic research on child welfare and child welfare policy.
The data files submitted to the Children’s Bureau are case level data. There is information on each child under the agency’s responsibility for placement and care that was removed from their home. The file contains a minimal amount of information on the child but does include:
• Child demographics including sex, birth date, race, and ethnicity.
• Number of previous stays in foster care,
• Service goals, availability for adoption,
• Dates of removal and discharge,
• Funding sources, and
• Data on parents and other caretakers
DOI: 10.34681/pgq6-1y26
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File 2020

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. 
AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site https://www.acf.hhs.gov/cb
AFCARS’ reporting periods extend from October 1 to September 30 of the nominal fiscal year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.
DOI: 10.6084/m9.figshare.19623480
title: COMSOL Files: Unification of independent design variables

description: This is the collection of COMSOL Multiphysics 5.4 files in order to reproduce the data shown in submitted manuscript.
DOI: 10.5517/ccdc.csd.cc28bhz3
title: CCDC 2095475: Experimental Crystal Structure Determination

description: Related Article: Sivanna Chithanna, Ding-Yah Yang|2022|J.Org.Chem.|87|5178|doi:10.1021/acs.joc.1c03163
DOI: 10.5517/ccdc.csd.cc28mzws
title: CCDC 2104586: Experimental Crystal Structure Determination

description: Related Article: Sivanna Chithanna, Ding-Yah Yang|2022|J.Org.Chem.|87|5178|doi:10.1021/acs.joc.1c03163
DOI: 10.6084/m9.figshare.19623547
title: Sequential Change-Point Detection for Mutually Exciting Point Processes

description: We present a new CUSUM procedure for sequential change-point detection in self- and mutually-exciting point processes (specifically, Hawkes networks) using discrete events data. Hawkes networks have become a popular model in statistics and machine learning, primarily due to their capability in modeling irregularly observed data where the timing between events carries a lot of information. The problem of detecting abrupt changes in Hawkes networks arises from various applications, including neuroengineering, sensor networks, and social network monitoring. Despite this, there has not been an efficient online algorithm for detecting such changes from sequential data. To this end, we propose an online recursive implementation of the CUSUM statistic for Hawkes processes, which is computationally and memory-efficient and can be decentralized for distributed computing. We first prove theoretical properties of this new CUSUM procedure, then show the improved performance of this approach over existing methods, including the Shewhart procedure based on count data, the generalized likelihood ratio statistic, and the standard score statistic. This is demonstrated via simulation studies and an application to population code change-detection in neuroengineering.
DOI: 10.6084/m9.figshare.19623547.v1
title: Sequential Change-Point Detection for Mutually Exciting Point Processes

description: We present a new CUSUM procedure for sequential change-point detection in self- and mutually-exciting point processes (specifically, Hawkes networks) using discrete events data. Hawkes networks have become a popular model in statistics and machine learning, primarily due to their capability in modeling irregularly observed data where the timing between events carries a lot of information. The problem of detecting abrupt changes in Hawkes networks arises from various applications, including neuroengineering, sensor networks, and social network monitoring. Despite this, there has not been an efficient online algorithm for detecting such changes from sequential data. To this end, we propose an online recursive implementation of the CUSUM statistic for Hawkes processes, which is computationally and memory-efficient and can be decentralized for distributed computing. We first prove theoretical properties of this new CUSUM procedure, then show the improved performance of this approach over existing methods, including the Shewhart procedure based on count data, the generalized likelihood ratio statistic, and the standard score statistic. This is demonstrated via simulation studies and an application to population code change-detection in neuroengineering.
DOI: 10.5517/ccdc.csd.cc29wqmk
title: CCDC 2141809: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqpm
title: CCDC 2141811: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqqn
title: CCDC 2141812: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqrp
title: CCDC 2141813: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqsq
title: CCDC 2141814: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqtr
title: CCDC 2141815: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqvs
title: CCDC 2141816: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqwt
title: CCDC 2141817: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqxv
title: CCDC 2141818: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.5517/ccdc.csd.cc29wqnl
title: CCDC 2141810: Experimental Crystal Structure Determination

description: Related Article: Eugenia S. Vasileiadou, Xinyi Jiang, Mikaël Kepenekian, Jacky Even, Michael C. De Siena, Vladislav V. Klepov, Daniel Friedrich, Ioannis Spanopoulos, Qing Tu, Imra S. Tajuddin, Emily A. Weiss, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|6390|doi:10.1021/jacs.2c00571
DOI: 10.6073/pasta/29d4ef7976c19d6958e618d1548dcd72
title: Plumes and Blooms: Curated oceanographic and phytoplankton pigment observations

description: These data come from the Plumes and Blooms project (PnB), which has conducted approximately monthly 1-day oceanographic cruises since August 1996. The data included here encompass all PnB cruises from August 1996 through December 2018. Data are two data tables: one table includes conductivity-temperature-depth profiles (CTD) and derived physical parameters, the other table includes discrete seawater samples for various biological and biogeochemical parameters. Details are available in Catlett et al., in prep. References: Catlett, D., D. A. Siegel, R. D. Simons, N. Guillocheau, F. Henderikx-Freitas, C. S. Thomas.2021. Diagnosing seasonal to multi-decadal phytoplankton group dynamics in a highly productive coastal ecosystem, Progress in Oceanography. 197. https://doi.org/10.1016/j.pocean.2021.102637.
DOI: 10.6073/pasta/02f5f4cf15817da0892aef71787e8768
title: Dry weight biomass measurements of net-collected mesozooplankton. Samples collected in the CCE-LTER region on Process Cruises from 2006 to the present. Summaries for each Lagrangian Cycle.

description: Mesozooplankton are collected with plankton nets (typically a 71-cm diameter, 202-um mesh Bongo net) and samples flash frozen at sea in liquid N2 for subsequent shore-based measurements of dry weight biomass. Measurements are made by weighing pre-tared Nitex mesh on an analytical balance, for mesozooplankton size-fractionated into 5 different categories (&gt; 0.2 mm, 0.5 mm, 1.0 mm, 2.0 mm, 5.0 mm). Biomass is expressed as dry mass of zooplankton per m3 of water filtered, or when multiplied by the maximum depth of the tow, as integrated dry mass of zooplankton per m2 of sea surface. Samples for dry weight biomass have been collected on CCE-LTER Process Cruises since 2006 and these collections are ongoing.
DOI: 10.6084/m9.figshare.14684361
title: Customer models for artificial intelligence-based decision support in fashion online retail supply chains

description: Data and Script.
DOI: 10.6084/m9.figshare.19623540
title: Osseointegration: COMSOL files

description: This is the collection of files to reproduce the data shown in submitted manuscript.
DOI: 10.3886/icpsr04558.v3
title: Afrobarometer: Round II 16-Country Merged Dataset, 2002-2004
title: Version 3

description: The Afrobarometer project assesses attitudes and public opinion toward democracy, markets, and civil society in several sub-Saharan African nations. This dataset was compiled from the studies in Round II of the Afrobarometer conducted from 2002-2004 in 16 countries including Botswana, Cape Verde, Kenya, Lesotho, Malawi, Mali, Mozambique, Namibia, Nigeria, Senegal, Tanzania, Uganda, Zambia, Zimbabwe, Ghana, and South Africa. Certain questions addressed country-specific issues, but many of the same questions were asked across surveys. Citizens of the 16 countries were asked their opinions about recent political and economic changes within their country. Respondents were asked about their current satisfaction with economic conditions in their country, how they currently obtained food to eat, what resources they relied on for safety, and how they obtained health care. They were also asked how often in the last 12 months they or their family had gone without food, felt unsafe in terms of crime, had gone without medicine, or had gone without shelter. Their opinions were elicited about who they felt was responsible for providing schools, creating jobs, building houses, and reducing crime. They were asked what came to mind with the word "democracy," as well as their support for democracy, whether they were satisfied with democracy, and whether they had to be careful about what they said. Respondents were also asked how often they got news from such sources as radio, television, or newspapers, and how closely they followed what was going on in government and public affairs. Other questions sought respondents' judgments on overall government performance and social service delivery. Respondents also were asked to evaluate of the trustworthiness of various institutions, who they trusted and to what extent they relied on informal networks and associations. Other questions sought each respondent's view of himself in relation to ethnic and class identities. Demographic information was elicited from respondents including age, language spoken, education, and employment status.
description: Response Rates: The response rate was 62.4 percent.
description: Multistage, clustered, random probability sample.
description: Datasets: DS1: Afrobarometer: Round II 16-Country Merged Dataset, 2002-2004
description: Citizens of Botswana, Cape Verde, Kenya, Lesotho, Malawi, Mali, Mozambique, Namibia, Nigeria, Senegal, Tanzania, Uganda, Zambia, Zimbabwe, Ghana, and South Africa, aged 18 years and older.
description: face-to-face interviewAdditional information on Afrobarometer research projects is provided at the Afrobarometer Web site.
DOI: 10.6084/m9.figshare.19623552
title: GenomicData-V.Shabardina

description: genomic data
DOI: 10.6084/m9.figshare.19623552.v1
title: GenomicData-V.Shabardina

description: genomic data