cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e243432v1
title: COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured

description: The COVID-19 Coverage Assistance Fund provides reimbursements on a rolling basis directly to eligible health care entities for costs associated with administering COVID-19 vaccines to underinsured individuals, who are defined for this purpose as having a health plan that either does not include COVID-19 vaccine administration as a covered benefit or covers COVID-19 vaccine administration but with cost-sharing.

The program funding information is as follows: The Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), appropriated $100 billion to reimburse eligible health care providers for health care related expenses or lost revenues that are attributable to coronavirus. The Paycheck Protection Program and Health Care Enhancement Act or PPPHCEA (P.L. 116-139) appropriated an additional $75 billion for relief funds, and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act appropriated an additional $3 billion. HRSA established the Provider Relief Fund (PRF) to administer payments to eligible providers. A portion of the PRF funds are being used to provide reimbursement to providers for administering Food and Drug Administration (FDA) authorized COVID-19 vaccines under an Emergency Use Authorization (EUA) or FDA-licensed COVID-19 vaccines under a Biologics License Application (BLA) to underinsured individuals. To learn more about the program, visit: https://www.hrsa.gov/covid19-coverage-assistance

This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for costs associated with administering COVID-19 vaccines to underinsured individuals.

For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6
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description: (Downloaded 1/10/2026)
DOI: 10.13140/rg.2.2.26966.72008
title: Dr Chrysanthus Chukwuma Sr: Position/Title: Executive Director Name/Type of Organization: The Chrysanthus Centre for Future-Oriented Studies/Centre for Future-Oriented Studies A non-Profit Organization Incorporated with Corporate Affairs Commission, Nigeria as CTR FUTURE-ORIENTED LTD with No. RCH604637 Address: Plot P10 Eguogboriga Government Residential Layout, Enugu-Abakaliki Expressway, Ebonyi State, Nigeria https://b2bhint.com/en/company/ng/ctr-future-oriented-limited--RC-604637
DOI: 10.3886/e243433
title: BRFSS Vision Module Data – Vision & Eye Health

description: 2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243433v1
title: BRFSS Vision Module Data – Vision & Eye Health

description: 2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).
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description: (Downloaded 1/10/2026)
DOI: 10.5517/ccdc.csd.cc2n96hp
title: CCDC 2451712: Experimental Crystal Structure Determination

description: Related Article: Zi-hang Yuan,Si-ya Zheng, Yu-mei Dai, En Tang|2025|CSD Communication|||
description: Related Article: Zi-hang Yuan,Si-ya Zheng, Yu-mei Dai, En Tang
|2025|Appl.Organomet.Chem.|39||doi:10.1002/aoc.70363
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e243434
title: 1998-2023 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance

description: CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD.

This table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2023. Cases are grouped into the following mutually exclusive age groups: age &lt;2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old. Cases are reported by ABCs surveillance site (noted as the 2-letter state abbreviation). Combined data for all ABCs sites are labeled as “All_Sites”.

ABCs methods and surveillance areas reporting IPD cases have changed over time. Given these changes, trends in serotype distribution by year, age group, and site should be interpreted with caution. Analyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard.
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243434v1
title: 1998-2023 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance

description: CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD.

This table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2023. Cases are grouped into the following mutually exclusive age groups: age &lt;2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old. Cases are reported by ABCs surveillance site (noted as the 2-letter state abbreviation). Combined data for all ABCs sites are labeled as “All_Sites”.

ABCs methods and surveillance areas reporting IPD cases have changed over time. Given these changes, trends in serotype distribution by year, age group, and site should be interpreted with caution. Analyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard.
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description: (Downloaded 1/10/2026)
DOI: 10.34740/kaggle/dsv/14467629
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.3886/e242683
title: College of Nursing & Health, Orlu 2026/2027 Admission Form/Midwifery form is out call the help line 09032974622 for registration guidelines on how to obtain for an the requirements.

description: College of Nursing & Health, Orlu 2026/2027 Admission Form/Midwifery form is out call the help line 09032974622 for registration guidelines on how to obtain for an the requirements.
DOI: 10.15468/dl.cgk6cs
title: Occurrence Download

description: A dataset listing the 1074 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((39.75361 8.85297,40.60031 9.3793,40.8177 10.20312,40.88063 10.74089,40.87491 11.1814,40.5359 11.29514,40.26129 10.99192,40.03818 9.68857,39.8265 9.27667,39.60911 9.00206,39.75361 8.85297))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1074 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003197-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cq5rq8
title: Occurrence Download

description: A dataset containing 481056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Germany, France, Italy, Portugal, Morocco, Algeria, Tunisia, Belgium, Austria, Czechia)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Gyps, Aegypius)"
 ]
}

 The dataset includes 481056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003196-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.639679
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "TaxonKey is Strix aluco",
 "Year 1990-1990"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003200-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12624424
title: Two novel Trichoderma species and their antagonistic activity against sclerotia-producing plant pathogens

description: These files contain:



Alignments used to reconstruct the phylogenetic trees in the manuscript.

Raw data on the antagonism assays.
DOI: 10.5281/zenodo.18215935
title: Two novel Trichoderma species and their antagonistic activity against sclerotia-producing plant pathogens

description: These files contain:



Alignments used to reconstruct the phylogenetic trees in the manuscript.

Raw data on the antagonism assays.
DOI: 10.3886/e243435
title: NOHSS Adult Indicators - 2010 And Prior BRFSS

description: Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243435v1
title: NOHSS Adult Indicators - 2010 And Prior BRFSS

description: Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e242643
title: School of Nursing form (SON) Akure 2026/2027 Midwifery form is out call the help line 09032974622

description: School of Nursing form (SON) Akure 2026/2027 Midwifery form is out call the help line 09032974622
DOI: 10.57702/1e5zb6d1
title: ganuza-2022-1-1

description: IsSupplementTo: https://doi.org/10.1126/sciadv.abm9359; IsSourceOf: [TODO]
DOI: 10.5281/zenodo.18216000
title: Dataset Systematic Literature Review for the Commercialisation of Livestock Biotechnologies in Developing Countries
DOI: 10.3886/e243436
title: Non-Medical Factor Measures for Place, ACS 2017-2021

description: This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243436v1
title: Non-Medical Factor Measures for Place, ACS 2017-2021

description: This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
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description: (Downloaded 1/10/2026)
DOI: 10.5517/ccdc.csd.cc2j8qdy
title: CCDC 2332080: Experimental Crystal Structure Determination

description: Related Article: Nicoleta Craciun, Elena Melnic, Anatolii V. Siminel, Natalia V. Costriucova, Diana Chisca, Marina S. Fonari
|2025|Inorganics|13|90|doi:10.3390/inorganics13030090
description: Related Article: Nicoleta, Melnic Elena, Fonari Marina, Chisca Diana|2024|Conference||74|doi:10.46727/c.v1.16-17-05-2024.p74-78
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lb7z5
title: CCDC 2393137: Experimental Crystal Structure Determination

description: Related Article: Salisu Y. Lawan, Naomi P. Ndahi, Ibrahim B. Galadima, Olaide O. Wahab, Tunde L. Yusuf, Louis‐Charl C. Coetzee, Mostafa S. Abd El‐Maksoud, Ibrahim Waziri
|2025|Chem.Biodiversity|22|e202401650|doi:10.1002/cbdv.202403033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ny9b8
title: CCDC 2471020: Experimental Crystal Structure Determination

description: Related Article: I. S. Usataia, V. O. Graur, P. N. Bourosh, E. I. Melnic, G. G. Balan, C. S. Lozan-Tirsu, O. S. Garbuz, A. P. Gulea
|2025|Zh.Obshch.Khim.|95|2390|doi:10.1134/S1070363225604521
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ny9c9
title: CCDC 2471021: Experimental Crystal Structure Determination

description: Related Article: I. S. Usataia, V. O. Graur, P. N. Bourosh, E. I. Melnic, G. G. Balan, C. S. Lozan-Tirsu, O. S. Garbuz, A. P. Gulea
|2025|Zh.Obshch.Khim.|95|2390|doi:10.1134/S1070363225604521
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ny9db
title: CCDC 2471022: Experimental Crystal Structure Determination

description: Related Article: I. S. Usataia, V. O. Graur, P. N. Bourosh, E. I. Melnic, G. G. Balan, C. S. Lozan-Tirsu, O. S. Garbuz, A. P. Gulea
|2025|Zh.Obshch.Khim.|95|2390|doi:10.1134/S1070363225604521
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18216029
title: Dataset: A Systematic Review of Livestock Biotechnology Commercialization in Developing Economies. A Markets, Institutions and Organizational Nexus.
DOI: 10.5281/zenodo.18216030
title: Dataset: A Systematic Review of Livestock Biotechnology Commercialization in Developing Economies. A Markets, Institutions and Organizational Nexus.
DOI: 10.15468/dl.zuehww
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "TaxonKey is Strix aluco",
 "Year 1985-1985"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003201-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243437
title: Non-Medical Factor Measures for Census Tract, ACS 2017-2021

description: This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243437v1
title: Non-Medical Factor Measures for Census Tract, ACS 2017-2021

description: This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
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description: (Downloaded 1/10/2026)
DOI: 10.5281/zenodo.18216052
title: 1001-suspended covers D-F
DOI: 10.5281/zenodo.18216051
title: 1001-suspended covers D-F