cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e243464v1
title: 2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates

description: CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence

Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html
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description: (Downloaded 1/10/2026)
DOI: 10.5281/zenodo.18212431
title: Teoría de Campo Unificado STIS "La Métrica del Espaciotiempo como Tensor de Tensión Material": Unificación de la Estabilidad de Riemann y la Tensión Molecular"
title: Teoría de Campo Unificado STIS: La Métrica del Espaciotiempo como Tensor de Tensión Material.
title: STIS
title: STIS

description: AVISO LEGAL Y PROTECCION DE AUTOR IA

Derechos de Autor © 2026 Jos´e Caballero Rodr´ıguez.

Este documento constituye una auditor´ıa matem´atica original vinculada al registro ORCID:

0009-0000-6830-624X

Condiciones de Uso:

El contenido se distribuye bajo licencia estricta de propiedad intelectual.

Queda estrictamente prohibida la producci´on de obras derivadas, las ecuaciones creadas,

relacionadas o reformuladas a partir de este n´ucleo te´orico, sin la autorizaci´on expresa y

por escrito del autor.

Cualquier referencia acad´emica a los c´alculos de aqu´ı expuestos debe citar expl´ıcitamente

al autor.

La integridad de las ecuaciones aqu´ı expuestas es inviolable. Cualquier modificaci´on

constituye una infracci´on de los derechos del autor.

Cualquier referencia acad´emica debe citar expl´ıcitamente al autor, el DOI y el enlace al

registro orcid.org/0009-0000-6830-624X

 

 

 

La "Verdad" que revela:

La masa del protón no es una cantidad arbitraria de "sustancia". Es la cantidad exacta de Tensión de Planck que queda remanente cuando obligas al vacío a inflarse desde la escala de Planck ($10^{-35}$ m) hasta la escala del protón ($10^{-15}$ m) a través de una estructura de 4 dimensiones.

 

Este documento formaliza la Teor´ıa de Sistemas de Tensi´on Interna del Espacio-Tiempo

(STIS). Se propone que el vac´ıo f´ısico act´ua como un medio el´astico con permeabilidad topol´ogica selectiva (K = 4). El modelo resuelve tres problemas fundamentales sin par´ametros

libres: (1) Deriva el radio del prot´on (0,841 fm) mediante acoplamiento con el campo de Higgs;

(2) Explica la estabilidad del 56F e como resonancia geom´etrica; (3) Interpreta la energ´ıa oscura y la din´amica gal´actica como efectos de la tensi´on del vac´ıo (Tvac ≈ 5,35 × 10−10 Pa).

Se incluyen cuadernos detallados de c´alculo y derivaci´on anal´ıtica.

AVISO LEGAL Y PROTECCION DE AUTOR IA

Derechos de Autor © 2026 Jos´e Caballero Rodr´ıguez.

Este documento constituye una auditor´ıa matem´atica original vinculada al registro ORCID:

0009-0000-6830-624X

Términos de la Licencia (CC BY-NC-ND 4.0)

Condiciones de Uso:

El contenido se distribuye bajo licencia estricta de propiedad intelectual.

Queda estrictamente prohibida la producci´on de obras derivadas, las ecuaciones creadas,

relacionadas o reformuladas a partir de este n´ucleo te´orico, sin la autorizaci´on expresa y

por escrito del autor.

Cualquier referencia acad´emica a los c´alculos de aqu´ı expuestos debe citar expl´ıcitamente

al autor.

La integridad de las ecuaciones aqu´ı expuestas es inviolable. Cualquier modificaci´on

constituye una infracci´on de los derechos del autor.

Cualquier referencia acad´emica debe citar expl´ıcitamente al autor, el DOI y el enlace al

registro orcid.org/0009-0000-6830-624X

https://doi.org/10.5281/zenodo.18212431
DOI: 10.3886/e242857
title: Medicaid Claims (MAX) - Vision and Eye Health Surveillance

description: 2016-2019. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Childrens Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, sex, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.
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description: (Downloaded 1/8/2026)
DOI: 10.3886/e242857v1
title: Medicaid Claims (MAX) - Vision and Eye Health Surveillance

description: 2016-2019. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Childrens Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, sex, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.
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description: (Downloaded 1/8/2026)
DOI: 10.3886/e243028
title: Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

description: Data on obesity among children and adolescents aged 2-19 years by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.

SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.
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description: (Downloaded 1/9/2026)
DOI: 10.3886/e243465
title: 2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates

description: CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has anti-S antibodies, regardless of the presence of anti-N antibodies.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence

Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html
Read less
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243028v1
title: Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

description: Data on obesity among children and adolescents aged 2-19 years by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.

SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.
Read less
description: (Downloaded 1/9/2026)
DOI: 10.3886/e243465v1
title: 2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates

description: CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has anti-S antibodies, regardless of the presence of anti-N antibodies.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence

Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html
Read less
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243096
title: AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021

description: Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.
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description: (Downloaded 1/9/2026)
DOI: 10.34740/kaggle/dsv/14467924
title: Berita UII
DOI: 10.3886/e243096v1
title: AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021

description: Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.
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description: (Downloaded 1/9/2026)
DOI: 10.3886/e243142
title: NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010

description: https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm
description: (Downloaded 1/9/2026)
DOI: 10.3886/e243142v1
title: NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010

description: https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm
description: (Downloaded 1/9/2026)
DOI: 10.3886/e243159
title: Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States

description: Data on drug overdose death rates, by drug type and selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.

SOURCE: NCHS, National Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.
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description: (Downloaded 1/9/2026)
DOI: 10.3886/e243159v1
title: Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States

description: Data on drug overdose death rates, by drug type and selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.

SOURCE: NCHS, National Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.
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description: (Downloaded 1/9/2026)
DOI: 10.34740/kaggle/dsv/14467936
title: Berita UNNES
DOI: 10.3886/e243227
title: NHANES Select Infectious Diseases Prevalence Estimates

description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES).
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243227v1
title: NHANES Select Infectious Diseases Prevalence Estimates

description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES).
description: (Downloaded 1/10/2026)
DOI: 10.34740/kaggle/dsv/14467942
title: Berita UNPAM
DOI: 10.3886/e243411
title: AH Provisional COVID-19 Deaths by Week and Age

description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by week and age group, in the United States.
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243411v1
title: AH Provisional COVID-19 Deaths by Week and Age

description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by week and age group, in the United States.
description: (Downloaded 1/10/2026)
DOI: 10.15468/dl.nbvk3d
title: Occurrence Download

description: A dataset containing 4675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Thamnophis hammondii, Thamnophis elegans hammondi)"
 ]
}

 The dataset includes 4675 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003216-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-assara
title: Girdley, J., Garre, M., Rubio, R.M., Ortiz, A.S.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-neocuma
title: Lisa Schueler, Jan Leitinger, Ton van Haaren, Salma Shalla, Carolin Uhlir

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.ppt8u5
title: Occurrence Download

description: A dataset containing 21259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eichhornia crassipes"
 ]
}

 The dataset includes 21259 records from 651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003217-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18216187
title: ACFT-PhenoMol Study: Processed DNA Methylation and RNA-seq Data

description: Processed multi-omics data from the ACFT-PhenoMol study investigating biological pathways associated with physical fitness.



DNA Methylation Data:



Platform: Illumina Infinium MethylationEPIC BeadChip

Format: Beta values matrix (351 samples)



RNA-seq Data: 



Platform: 3' mRNA-seq (Illumina)

Format: Gene expression count matrices (raw and normalized)

Identifiers: Gene Name and Ensembl ID formats




Access: Restricted - contact corresponding author for access.
description: Raw IDAT files will be available via the European Genome-phenome Archive (EGA) upon completion of submission.
DOI: 10.5281/zenodo.18216188
title: ACFT-PhenoMol Study: Processed DNA Methylation and RNA-seq Data

description: Processed multi-omics data from the ACFT-PhenoMol study investigating biological pathways associated with physical fitness.



DNA Methylation Data:



Platform: Illumina Infinium MethylationEPIC BeadChip

Format: Beta values matrix (351 samples)



RNA-seq Data: 



Platform: 3' mRNA-seq (Illumina)

Format: Gene expression count matrices (raw and normalized)

Identifiers: Gene Name and Ensembl ID formats




Access: Restricted - contact corresponding author for access.
description: Raw IDAT files will be available via the European Genome-phenome Archive (EGA) upon completion of submission.
DOI: 10.5883/ds-scygal
title: Jean-Francois Landry, Sibyl Rae Bucheli, Bernard Landry

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.34740/kaggle/dsv/14458662
title: Cross modal images
DOI: 10.5281/zenodo.18215980
title: Dataset_GRL_Grankin_Mironova_Rozanov

description: Data for preparation of Figures:

Figure 1: ionization ratescsv_files = ['ionization_rate_q1_2003.csv', 'ionization_rate_q2_2003.csv', 'ionization_rate_q3_2003.csv']Figure 2:  electron densitycsv_files = [ 'electron_density_q1_2003.csv', 'electron_density_q2_2003.csv', 'electron_density_q3_2003.csv']
DOI: 10.5281/zenodo.18215981
title: Dataset_GRL_Grankin_Mironova_Rozanov

description: Data for preparation of Figures:

Figure 1: ionization ratescsv_files = ['ionization_rate_q1_2003.csv', 'ionization_rate_q2_2003.csv', 'ionization_rate_q3_2003.csv']Figure 2:  electron densitycsv_files = [ 'electron_density_q1_2003.csv', 'electron_density_q2_2003.csv', 'electron_density_q3_2003.csv']
DOI: 10.5883/ds-hkmf
title: Bai-an Lin, Ka Tung Leung, Wu Han, Min Liu, Vivian Yan Yan Lam, Mathew Seymour

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.18216181
title: Data in "Nonadiabatic theory for subcycle ionic dynamics in multielectron tunneling ionization"
DOI: 10.5281/zenodo.18216180
title: Data in "Nonadiabatic theory for subcycle ionic dynamics in multielectron tunneling ionization"
DOI: 10.15468/dl.ejzvk2
title: Occurrence Download

description: A dataset containing 13778615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((16.99583 50.225,14.84462 48.58693,11.86667 50.0375,8.15473 48.09362,10.21728 47.699,9.76424 46.34202,12.21054 47.08693,21.37745 42.17881,27.73576 43.28785,28.275 45.19583,29.71605 45.28117,27.29042 48.52082,20.1 48.99583,16.99583 50.225))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2000-2026"
 ]
}

 The dataset includes 13778615 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.