cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18128/d080.v4
title: IPUMS-Demographic and Health Surveys: Version 4

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and Asia to facilitate comparative research across time and countries. The DHS are the main source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. The current version of IPUMS-DHS includes data on women respondents, their children under age 5, and their births.
DOI: 10.18128/d080.v5
title: IPUMS-Demographic and Health Surveys: Version 5

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and Asia to facilitate comparative research across time and countries. The DHS are the main source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. The current version of IPUMS-DHS includes data on women respondents, their children under age 5, and their births, and on members of randomly selected households.
DOI: 10.18128/d080.v6
title: IPUMS Demographic and Health Surveys: Version 6

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and Asia to facilitate comparative research across time and countries. The DHS are the main source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. IPUMS-DHS includes data on women respondents, their children under age 5, and their births, and on members of randomly selected households. IPUMS Demographic and Health Surveys version 6 differs from version 5 due to the addition of several more countries (Afghanistan, Angola, Burundi, Lesotho, Myanmar, Namibia, and Senegal) and the inclusion of over 2,000 new integrated variables.
DOI: 10.18128/d080.v7
title: IPUMS Demographic and Health Surveys: Version 7

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and South Asia to facilitate comparative research across time and countries. The DHS are the main source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. IPUMS-DHS includes a wide range of health-related topics for women of childbearing age, the women's births and young children, non-elderly men, and household members of all ages.data on women respondents, their children under age 5, and their births, and on members of randomly selected households. IPUMS Demographic and Health Surveys version 6 7 differs from version 5 6 due to the addition of several more countries (Afghanistan, Angola, Burundi, Lesotho, Myanmar, Namibia, and SenegalJordon, Nepal, and South Africa) and the inclusion of data for men as a new unit of analysis (for 120 samples),over 2,000 new integrated variables.
DOI: 10.18128/d080.v8
title: IPUMS Demographic and Health Surveys: Version 8

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and South Asia to facilitate comparative research across time and countries. The DHS are a primary source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. IPUMS-DHS includes a wide range of health-related topics for women of childbearing age, the women's births and young children, non-elderly men, and household members of all ages. The most recent version of IPUMS-DHS adds surveys and variables.
DOI: 10.18128/d080.v9
title: IPUMS Demographic and Health Surveys: Version 9

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and South Asia to facilitate comparative research across time and countries. The DHS are a primary source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. IPUMS-DHS includes a wide range of health-related topics for women of childbearing age, the women's births and young children, non-elderly men, and household members of all ages. The most recent version of IPUMS-DHS adds a new unit of analysis, woman-months, which simplifies analyzing retrospective calendar data on births, pregnancies, pregnancy terminations, and contraceptive use.
DOI: 10.18128/d081.v1.0
title: IPUMS-PMA: Version 1.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring and Accountability 2020, a high-frequency survey for the measurement of progress toward Family Planning 2020 goals.  It consists of individual-level microdata collected through household and female surveys about family planning behaviors, water, sanitation, and health in 10 countries of Africa and Asia.
DOI: 10.18128/d081.v2.0
title: IPUMS-PMA: Version 2.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring and Accountability 2020, a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v2.1
title: IPUMS-PMA: Version 2.1

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring and Accountability 2020, a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v3.0
title: IPUMS-PMA: Version 3.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring and Accountability 2020, a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v4.0
title: IPUMS-PMA: Version 4.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v4.1
title: IPUMS-PMA: Version 4.1

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v4.2
title: IPUMS-PMA: Version 4.2

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v5.0
title: IPUMS-PMA: Version 5.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v6.0
title: IPUMS-PMA: Version 6.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v7.0
title: IPUMS-PMA: Version 7.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v7.1
title: IPUMS-PMA: Version 7.1

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v7.2
title: IPUMS-PMA: Version 7.2

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v7.3
title: IPUMS-PMA: Version 7.3

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v8.0
title: IPUMS-PMA: Version 8.0

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v8.1
title: IPUMS-PMA: Version 8.1

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d081.v8.2
title: IPUMS-PMA: Version 8.2

description: IPUMS-PMA is a harmonized data collection of Performance Monitoring for Action [formerly known as Performance Monitoring and Accountability 2020], a high-frequency survey for the measurement of progress toward Family Planning 2020 goals. It consists of individual-level and facility-level microdata collected through household, female, and service delivery point surveys about family planning behaviors, water, sanitation, health, nutrition, and reproductive health care provision in 11 countries of Africa and Asia.
DOI: 10.18128/d082.v1.0
title: IPUMS-MICS Data Harmonization Code: Version 1.0

description: IPUMS MICS is a harmonized data collection of Multiple Indicator Cluster Surveys (MICS) collected by UNICEF. IPUMS MICS facilitates comparative research across time and countries. It consists of individual-level and household-level microdata collected through household, female, child, men, and adolescent surveys. IPUMS MICS adds value to the original MICS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can identify samples and variables to include in a customized data extract, at no cost.
DOI: 10.18128/d082.v1.1
title: IPUMS-MICS Data Harmonization Code: Version 1.1

description: IPUMS MICS is a harmonized data collection of Multiple Indicator Cluster Surveys (MICS) collected by UNICEF. IPUMS MICS facilitates comparative research across time and countries. It consists of individual-level and household-level microdata collected through household, female, child, men, and adolescent surveys. IPUMS MICS adds value to the original MICS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can identify samples and variables to include in a customized data extract, at no cost.
DOI: 10.18128/d082.v1.2
title: IPUMS-MICS Data Harmonization Code: Version 1.2

description: IPUMS MICS is a harmonized data collection of Multiple Indicator Cluster Surveys (MICS) collected by UNICEF. IPUMS MICS facilitates comparative research across time and countries. It consists of individual-level and household-level microdata collected through household, female, child, men, and adolescent surveys. IPUMS MICS adds value to the original MICS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can identify samples and variables to include in a customized data extract, at no cost.
DOI: 10.25345/c5pk07d8q
title: MassIVE MSV000097953 - Enhanced Identifications and Quantification through Retention Time Down-Sampling in Fast-Cycling diagonal-PASEF Methods
title: Data-independent acquisition mass spectrometry is essential for comprehensive quantification of proteomes, enabling deeper insights into cellular processes and disease mechanisms. On the timsTOF platform, diagonal-PASEF acquisition methods have recently been introduced to directly and continuously cover the observed diagonal shape of the peptide precursor ion distributions. Although diagonal-PASEF has shown great promise, its broad adoption as a routine workflow has been hampered by a lack of available algorithmic solutions and a paucity of demonstrated real-world applications. Here, we conducted a systematic and comprehensive optimization of diagonal-PASEF for 17-minute gradients on the timsTOF HT in conjunction to Spectronaut 19. We demonstrate that Spectronaut 19 fully supports all tested diagonal-PASEF methods independent of the number of slices or overlaps and with minimal user intervention required. Using our optimized analysis strategy we coupled diagonal-PASEF acquisitions to retention time down-sampling by summation (RTsum), thereby providing a novel mode of analysis of this data that exploits the fast-cycling nature of diagonal-PASEF methods. Through the combination of RTsum with diagonal-PASEF, we demonstrate that this strategy yields higher signal-to-noise ratios while retaining the peak shape for analytes of interest. Importantly, combining RTsum with diagonal-PASEF improved overall identifications and quantitative precision when compared to dia-PASEF with static or variable quadrupole isolation widths and across different input amounts for cell line injections. We also tested the performance of diagonal-PASEF in controlled quantitative experiments where diagonal-PASEF outperformed dia-PASEF in the overall number of retained candidates, quantitative precision and identifications on peptide level. These data indicate that RTsum demonstrates a positive use case of the high sampling rate of diagonal-PASEF. Collectively, our findings imply that diagonal-PASEF methods are superior for peptide and protein level analyses especially at lower input amounts.
DOI: 10.5281/zenodo.15483970
title: SURGICAL ASPECTS OF THE RESTORATION OF THE ZYGOMATIC-ORBITAL COMPLEX AFTER INJURIES
DOI: 10.5281/zenodo.15483971
title: SURGICAL ASPECTS OF THE RESTORATION OF THE ZYGOMATIC-ORBITAL COMPLEX AFTER INJURIES
DOI: 10.15468/dl.6r65vq
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Echinocactus parryi Engelm."
 ]
}

 The dataset includes 81 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012463-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc8y8z
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis Kuhl, 1820"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012468-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15483888
title: Scopus database from 2000 to April 2025
DOI: 10.5281/zenodo.15483889
title: Scopus database from 2000 to April 2025
DOI: 10.5281/zenodo.15483992
title: ТREATMENT OF FRACTURES OF THE ZYGOMATIC-ORBITAL COMPLEX
DOI: 10.5281/zenodo.15483993
title: ТREATMENT OF FRACTURES OF THE ZYGOMATIC-ORBITAL COMPLEX
DOI: 10.7910/dvn/vs68wc
title: Dataset collected at JRR-3 supporting the publication: "Spin dynamics in natural multiferroic pyroxene NaFeSi2O6"

description: Dataset collected at the triple-axis spectrometer TAS-2 at the JRR-3 research reactor of the Japan Atomic Energy Agency in Tokai, Japan supporting the publication: "Spin dynamics in natural multiferroic pyroxene NaFeSi2O6".
DOI: 10.5281/zenodo.15483817
title: Self-Assembly of Magnetic Janus Colloids under Magnetic Field - Dataset

description: This dataset contains post-processed output files derived from particle-based simulations, focused on analyzing the structural and orientational behavior of particles under different magnetic field conditions and dipole configurations. The data are organized in folders, where each folder name encodes the simulation parameters used:



s: Dipolar shift — defines the relative position of the magnetic dipole inside each particle.



s = 0: Dipole is at the center of mass.

s = 1: Dipole is at the particle surface.



H: Langevin parameter (noted as α in the related publication).



H = 0: No external magnetic field applied.

H > 0: A magnetic field is present in the system.




Each simulation folder contains two plain-text output files:



Average_ninj.out: Describes the relative orientations of neighboring particles, including the cosine of their orientation angles, the frequency of occurrence, and associated standard deviations.

Average_Repetition.out: Provides a time-resolved summary of clustering metrics, including number of clusters, average cluster size, radius of gyration, and other statistical measures. Each metric is reported with its mean and standard deviation.


These data are intended for use in the quantitative analysis of structure and dynamics in soft matter systems, magnetic colloids, or other particle-based models. All variables and calculations are detailed in the accompanying README file.