cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29039308
title: A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data

description: We provide a novel statistical perspective on a classical problem at the intersection of computer science and information theory: recovering the empirical frequency of a symbol in a large discrete dataset using only a compressed representation, or sketch, obtained via random hashing. Departing from traditional algorithmic approaches, recent works have proposed Bayesian nonparametric (BNP) methods that can provide more informative frequency estimates by leveraging modeling assumptions about the distribution of the sketched data. In this article, we propose an alternative <i>smoothed-Bayesian</i> approach, inspired by existing BNP methods but designed to overcome their computational limitations when dealing with large-scale data from realistic distributions, including those with power-law tail behaviors. For sketches obtained with a single hash function, our approach is supported by precise theoretical guarantees, including unbiasedness and optimality under a Bayesian framework within an intuitive class of linear estimators. For sketches with multiple hash functions, we introduce an approach based on <i>multi-view</i> learning to construct computationally efficient frequency estimators. We validate our method on synthetic and real data, comparing its performance to that of existing alternatives. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29039308.v2
title: A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data

description: We provide a novel statistical perspective on a classical problem at the intersection of computer science and information theory: recovering the empirical frequency of a symbol in a large discrete dataset using only a compressed representation, or sketch, obtained via random hashing. Departing from traditional algorithmic approaches, recent works have proposed Bayesian nonparametric (BNP) methods that can provide more informative frequency estimates by leveraging modeling assumptions about the distribution of the sketched data. In this article, we propose an alternative <i>smoothed-Bayesian</i> approach, inspired by existing BNP methods but designed to overcome their computational limitations when dealing with large-scale data from realistic distributions, including those with power-law tail behaviors. For sketches obtained with a single hash function, our approach is supported by precise theoretical guarantees, including unbiasedness and optimality under a Bayesian framework within an intuitive class of linear estimators. For sketches with multiple hash functions, we introduce an approach based on <i>multi-view</i> learning to construct computationally efficient frequency estimators. We validate our method on synthetic and real data, comparing its performance to that of existing alternatives. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29039308.v1
title: A smoothed-Bayesian approach to frequency recovery from sketched data*

description: We provide a novel statistical perspective on a classical problem at the intersection of computer science and information theory: recovering the empirical frequency of a symbol in a large discrete dataset using only a compressed representation, or sketch, obtained via random hashing. Departing from traditional algorithmic approaches, recent works have proposed Bayesian nonparametric (BNP) methods that can provide more informative frequency estimates by leveraging modeling assumptions about the distribution of the sketched data. In this paper, we propose an alternative <i>smoothed-Bayesian</i> approach, inspired by existing BNP methods but designed to overcome their computational limitations when dealing with large-scale data from realistic distributions, including those with power-law tail behaviors. For sketches obtained with a single hash function, our approach is supported by precise theoretical guarantees, including unbiasedness and optimality under a Bayesian framework within an intuitive class of linear estimators. For sketches with multiple hash functions, we introduce an approach based on <i>multi-view</i> learning to construct computationally efficient frequency estimators. We validate our method on synthetic and real data, comparing its performance to that of existing alternatives.
DOI: 10.5281/zenodo.15731423
title: GAZ OSTI NEFT UYUMLARINI OPTIMAL ISHLASH TIZIMLARINI ASOSALASH
DOI: 10.5281/zenodo.15731424
title: GAZ OSTI NEFT UYUMLARINI OPTIMAL ISHLASH TIZIMLARINI ASOSALASH
DOI: 10.3886/icpsr02658.v1
title: National Health Interview Survey, 1996: Health Insurance Supplement
title: Version 1

description: The purpose of the National Health Interview Survey (NHIS)
 is to obtain information about the amount and distribution of illness,
 its effects in terms of disability and chronic impairments, and the
 kinds of health services people receive. This supplement includes
 variables from the NHIS core Person File (see NATIONAL HEALTH
 INTERVIEW SURVEY, 1996 [ICPSR 2661]), including sex, age, race,
 marital status, veteran status, education, income, industry and
 occupation codes, and limits on activity. The 1996 Health Insurance
 questionnaire was administered throughout the full year with the
 exception of the last three weeks of December. Respondents answered
 for all members of the household. Variables included in the supplement
 cover type of health care coverage (Medicare, Medicaid,
 military/CHAMPUS/CHAMP-VA, public assistance, private insurance),
 characteristics of the private insurance reported by the respondent
 (choice of doctor, source of coverage, employer subsidies for
 premiums, fee-for-service plans, Health Maintenance Organization [HMO]
 status, HMO type, HMO enrollment size, plan code list), and individual
 coverage status. Also covered were problems concerning denial or
 restriction of coverage, "job lock" due to insurance, reasons
 household members were not covered by insurance (either currently or
 within the past year) and for how long, and out-of-pocket expenses in
the past year for medical services not covered.
description: One person 18 years or older was randomly sampled from
each household in the 1996 National Health Interview Survey sample.
description: Datasets: 
DS1: National Health Interview Survey, 1996: Health Insurance Supplement
description: Civilian, noninstitutionalized population of the 50 states
and the District of Columbia.
description: (1) Per agreement with NCHS, ICPSR distributes the
 data file and text of the technical documentation for this collection
 as prepared by NCHS. (2) The codebook and data collection instrument
 are provided as a Portable Document Format (PDF) file. The PDF file
 format was developed by Adobe Systems Incorporated and can be accessed
 using PDF reader software, such as the Adobe Acrobat
 Reader. Information on how to obtain a copy of the Acrobat Reader is
provided through the ICPSR Website on the Internet.
DOI: 10.3886/icpsr02658
title: National Health Interview Survey, 1996: Health Insurance Supplement
title: Archival Version

description: The purpose of the National Health Interview Survey (NHIS)
 is to obtain information about the amount and distribution of illness,
 its effects in terms of disability and chronic impairments, and the
 kinds of health services people receive. This supplement includes
 variables from the NHIS core Person File (see NATIONAL HEALTH
 INTERVIEW SURVEY, 1996 [ICPSR 2661]), including sex, age, race,
 marital status, veteran status, education, income, industry and
 occupation codes, and limits on activity. The 1996 Health Insurance
 questionnaire was administered throughout the full year with the
 exception of the last three weeks of December. Respondents answered
 for all members of the household. Variables included in the supplement
 cover type of health care coverage (Medicare, Medicaid,
 military/CHAMPUS/CHAMP-VA, public assistance, private insurance),
 characteristics of the private insurance reported by the respondent
 (choice of doctor, source of coverage, employer subsidies for
 premiums, fee-for-service plans, Health Maintenance Organization [HMO]
 status, HMO type, HMO enrollment size, plan code list), and individual
 coverage status. Also covered were problems concerning denial or
 restriction of coverage, "job lock" due to insurance, reasons
 household members were not covered by insurance (either currently or
 within the past year) and for how long, and out-of-pocket expenses in
the past year for medical services not covered.
description: One person 18 years or older was randomly sampled from
each household in the 1996 National Health Interview Survey sample.
description: Datasets: 
DS1: National Health Interview Survey, 1996: Health Insurance Supplement
description: Civilian, noninstitutionalized population of the 50 states
and the District of Columbia.
description: (1) Per agreement with NCHS, ICPSR distributes the
 data file and text of the technical documentation for this collection
 as prepared by NCHS. (2) The codebook and data collection instrument
 are provided as a Portable Document Format (PDF) file. The PDF file
 format was developed by Adobe Systems Incorporated and can be accessed
 using PDF reader software, such as the Adobe Acrobat
 Reader. Information on how to obtain a copy of the Acrobat Reader is
provided through the ICPSR Website on the Internet.
DOI: 10.57967/hf/5856
title: 20210915_JGI-AK_MK_506588_SoilWaterRep_final_QE-HF_C18_USDAY63680
DOI: 10.5281/zenodo.15731221
title: Reactome Download Directory

description: The download directory is created for every Reactome (reactome.org) release quarterly.
DOI: 10.3886/icpsr02450.v1
title: Common Core of Data: State Nonfiscal Survey, 1995-1996
title: Version 1

description: The primary purpose of the State Nonfiscal Survey is to
 provide basic information on public elementary and secondary school
 students and staff for each of the 50 states, the District of
 Columbia, and outlying territories (American Samoa, Guam, Puerto Rico,
 the Virgin Islands, and the Marshall Islands). The database provides
 the following information on students and staff: general information
 (name, address, and telephone number of the state education agency),
 staffing information (number of FTEs on the instructional staff,
 guidance counselor staff, library staff, support staff, and
 administrative staff), and student information (membership counts by
 grade, counts of high school completers, counts of high school
 completers by racial/ethnic breakouts, and breakouts for dropouts by
grade, sex, race).
description: Datasets: 
DS0: Study-Level Files
DS1: Reported Data
DS2: Imputed Data
description: All public elementary and secondary education agencies in
 the 50 states, the District of Columbia, United States territories
 (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the
 Marshall Islands), and Department of Defense schools outside of the
United States.
description: (1) Part 2, Imputed Data, is a different version of
 the data in Part 1, Reported Data. The National Center for Education
 Statistics (NCES) imputed and adjusted some reported values in order
 to create a data file (Part 2) that more accurately reflects student
 and staff counts and improves comparability between states.
 Imputations are defined as cases where the missing value is not
 reported at all, indicating that subtotals for the category are
 under-reported. An imputation by NCES assigns a value to the missing
 item, and the subtotals containing this item increase by the amount of
 the imputation. Imputations and adjustments were performed on the 50
 states and Washington, DC, only. Since all states and Washington, DC,
 reported data in this survey, these imputations and adjustments
 were implemented to correct for item nonresponse only. This process
 consisted of several stages and steps, and varied as to the nature of
 the missing data. No adjustments or imputations were made to high
 school graduates or other high school completer categories, nor were
 any adjustments or imputations performed on the race/ethnicity
 data. (2) The Instruction Manual that is included with this data
 collection also applies to COMMON CORE OF DATA: PUBLIC EDUCATION
 AGENCY UNIVERSE, 1995-1996 (ICPSR 2468) and COMMON CORE OF DATA:
 PUBLIC SCHOOL UNIVERSE, 1995-1996 (ICPSR 2470). (3) The codebook,
 data collection instrument, and instruction manual are provided as
 two Portable Document Format (PDF) files. The PDF file format was
 developed by Adobe Systems Incorporated and can be accessed using the
 Adobe Acrobat Reader (version 3.0 or later). Information on how to
 obtain a copy of the Acrobat Reader is provided through the ICPSR
Website on the Internet.
DOI: 10.3886/icpsr02450
title: Common Core of Data: State Nonfiscal Survey, 1995-1996
title: Archival Version

description: The primary purpose of the State Nonfiscal Survey is to
 provide basic information on public elementary and secondary school
 students and staff for each of the 50 states, the District of
 Columbia, and outlying territories (American Samoa, Guam, Puerto Rico,
 the Virgin Islands, and the Marshall Islands). The database provides
 the following information on students and staff: general information
 (name, address, and telephone number of the state education agency),
 staffing information (number of FTEs on the instructional staff,
 guidance counselor staff, library staff, support staff, and
 administrative staff), and student information (membership counts by
 grade, counts of high school completers, counts of high school
 completers by racial/ethnic breakouts, and breakouts for dropouts by
grade, sex, race).
description: Datasets: 
DS0: Study-Level Files
DS1: Reported Data
DS2: Imputed Data
description: All public elementary and secondary education agencies in
 the 50 states, the District of Columbia, United States territories
 (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the
 Marshall Islands), and Department of Defense schools outside of the
United States.
description: (1) Part 2, Imputed Data, is a different version of
 the data in Part 1, Reported Data. The National Center for Education
 Statistics (NCES) imputed and adjusted some reported values in order
 to create a data file (Part 2) that more accurately reflects student
 and staff counts and improves comparability between states.
 Imputations are defined as cases where the missing value is not
 reported at all, indicating that subtotals for the category are
 under-reported. An imputation by NCES assigns a value to the missing
 item, and the subtotals containing this item increase by the amount of
 the imputation. Imputations and adjustments were performed on the 50
 states and Washington, DC, only. Since all states and Washington, DC,
 reported data in this survey, these imputations and adjustments
 were implemented to correct for item nonresponse only. This process
 consisted of several stages and steps, and varied as to the nature of
 the missing data. No adjustments or imputations were made to high
 school graduates or other high school completer categories, nor were
 any adjustments or imputations performed on the race/ethnicity
 data. (2) The Instruction Manual that is included with this data
 collection also applies to COMMON CORE OF DATA: PUBLIC EDUCATION
 AGENCY UNIVERSE, 1995-1996 (ICPSR 2468) and COMMON CORE OF DATA:
 PUBLIC SCHOOL UNIVERSE, 1995-1996 (ICPSR 2470). (3) The codebook,
 data collection instrument, and instruction manual are provided as
 two Portable Document Format (PDF) files. The PDF file format was
 developed by Adobe Systems Incorporated and can be accessed using the
 Adobe Acrobat Reader (version 3.0 or later). Information on how to
 obtain a copy of the Acrobat Reader is provided through the ICPSR
Website on the Internet.
DOI: 10.5281/zenodo.15731399
title: Program and Operational Characteristics of Syringe Services Programs—Data from the National Survey of Syringe Services Programs (Anonymized), 2024

description: The National Survey of Syringe Services Programs (NSSSP) is an activity under the Centers for Disease Control and Prevention’s (CDC’s) PS22-2208 “Support a national network of Syringe Services Programs (SSPs) and oversee implementation and use of an annual survey of SSPs”, Component 1. The goal of the NSSSP is to collect information on SSP characteristics, services and referrals offered, people served, funding, community relationships, and operational successes and challenges annually to ensure comprehensive services are being provided to meet the needs of people who use drugs (PWUD). These data will be used to monitor national SSP coverage, document the capacity and needs of SSPs, quantify the public health impact of SSPs, and identify disparities in areas with low coverage relative to a high burden of health consequences from the syndemic of drug use, HIV, and hepatitis C virus (HCV). These data are not intended to be used to determine the effectiveness of SSPs. The NSSSP was reviewed by the RTI Institutional Review Board (IRB) and while it does not collect any individual-level data or personally identifying information, the NSSSP does contain sensitive organization level information which requires protection.
DOI: 10.5281/zenodo.15731400
title: Program and Operational Characteristics of Syringe Services Programs—Data from the National Survey of Syringe Services Programs (Anonymized), 2024

description: The National Survey of Syringe Services Programs (NSSSP) is an activity under the Centers for Disease Control and Prevention’s (CDC’s) PS22-2208 “Support a national network of Syringe Services Programs (SSPs) and oversee implementation and use of an annual survey of SSPs”, Component 1. The goal of the NSSSP is to collect information on SSP characteristics, services and referrals offered, people served, funding, community relationships, and operational successes and challenges annually to ensure comprehensive services are being provided to meet the needs of people who use drugs (PWUD). These data will be used to monitor national SSP coverage, document the capacity and needs of SSPs, quantify the public health impact of SSPs, and identify disparities in areas with low coverage relative to a high burden of health consequences from the syndemic of drug use, HIV, and hepatitis C virus (HCV). These data are not intended to be used to determine the effectiveness of SSPs. The NSSSP was reviewed by the RTI Institutional Review Board (IRB) and while it does not collect any individual-level data or personally identifying information, the NSSSP does contain sensitive organization level information which requires protection.
DOI: 10.5281/zenodo.15190553
title: Survey data on research misconduct among Moroccan medical students
DOI: 10.5281/zenodo.15731433
title: Survey data on research misconduct among Moroccan medical students
DOI: 10.3886/icpsr02176.v2
title: ABC News "Nightline" Jackie Robinson Poll, February 1997
title: Version 2

description: This special topic poll, fielded February 21-24, 1997,
 sought respondents' views on race relations and on Black athletes and
 coaches during the 50th anniversary year of Jackie Robinson's entry
 into major league baseball. Respondents were asked for their
 assessment of race relations in the United States over the past ten
 years, and the opportunities or lack thereof that are available to
 Black high school and college athletes. Those queried were also asked
 for their views regarding the high numbers of Black professional
 athletes and the small number of Black professional coaches and
 managers. The results of the poll were announced on the ABC television
 program "Nightline" the day the poll was taken. Background information
on respondents includes race and sex.
description: The data contain a weight variable (WEIGHT) that should be
 used in analyzing the data. This poll consists of "standard" national
 representative samples of the adult population with sample balancing
of sex, race, age, and education.
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. The documentation provided by the principal investigator
suggests that the data contain an oversample on Black respondents.
description: Datasets: 
DS1: ABC News "Nightline" Jackie Robinson Poll, February 1997
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: telephone interview(1) The data available for download are not weighted
 and users will need to weight the data prior to analysis. (2) Original
 reports using these data may be found via the
 ABC News Polling
 Unit Web site. and via the
 
 Washington Post Opinion Surveys and Polls Web site. (3) The
 meaning of the variable SELECTB is unknown and may be associated with
 the sampling method of selecting a respondent based on the adult
 living in the household who last had a birthday. (4) Value labels for
 unknown codes were add in the variables RECODED_AGE. (5) The CASEID
variable was created for use with online analysis.
DOI: 10.3886/icpsr02176
title: ABC News "Nightline" Jackie Robinson Poll, February 1997
title: Archival Version

description: This special topic poll, fielded February 21-24, 1997,
 sought respondents' views on race relations and on Black athletes and
 coaches during the 50th anniversary year of Jackie Robinson's entry
 into major league baseball. Respondents were asked for their
 assessment of race relations in the United States over the past ten
 years, and the opportunities or lack thereof that are available to
 Black high school and college athletes. Those queried were also asked
 for their views regarding the high numbers of Black professional
 athletes and the small number of Black professional coaches and
 managers. The results of the poll were announced on the ABC television
 program "Nightline" the day the poll was taken. Background information
on respondents includes race and sex.
description: The data contain a weight variable (WEIGHT) that should be
 used in analyzing the data. This poll consists of "standard" national
 representative samples of the adult population with sample balancing
of sex, race, age, and education.
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. The documentation provided by the principal investigator
suggests that the data contain an oversample on Black respondents.
description: Datasets: 
DS1: ABC News "Nightline" Jackie Robinson Poll, February 1997
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: telephone interview(1) The data available for download are not weighted
 and users will need to weight the data prior to analysis. (2) Original
 reports using these data may be found via the
 ABC News Polling
 Unit Web site. and via the
 
 Washington Post Opinion Surveys and Polls Web site. (3) The
 meaning of the variable SELECTB is unknown and may be associated with
 the sampling method of selecting a respondent based on the adult
 living in the household who last had a birthday. (4) Value labels for
 unknown codes were add in the variables RECODED_AGE. (5) The CASEID
variable was created for use with online analysis.
DOI: 10.5281/zenodo.15731444
title: INGLIZ TILI DARSLARIDA MUHIT YARATISH: IMMERSIV OʻQITISHNING AFZALLIKLARI
DOI: 10.5281/zenodo.15731445
title: INGLIZ TILI DARSLARIDA MUHIT YARATISH: IMMERSIV OʻQITISHNING AFZALLIKLARI