cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.82208/trdmc-309
title: COVID 19 Line list and Labratory Registration Format Final 28-11-2012 First Run -

description: This dataset comprises COVID-19 case and laboratory testing records collected using the COVID 19 Line list and Laboratory Registration Format Final 28-11-2012 First Run corresponding to the First Run of data collection. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.82208/trdmc-363
title: Regional Tuberculosis (TB) Diagnostic and Resistance Data – July–September 2024

description: This dataset presents regional Mycobacterium tuberculosis (MTB) diagnostic and resistance data for July–September 2024, covering: Rifampicin Mono Resistance Cases (N = 14): Disaggregated by sex and treatment (Rx) history GeneXpert Tests (N = 7,241): Monthly testing volumes throughout 2024 MTB Positivity Rates (N = 560): Stratified by age category, HIV status, gender, Rx history, and site of infection The data enable analysis of regional MTB trends, treatment-resistance patterns, and demographic or clinical factors linked to positivity rates
DOI: 10.82208/trdmc-280
title: Prevalence of anemia and its associated factors among under-five children in Adigrat General Hospital, Tigray, Northern Ethiopia

description: Anemia adversely affects childrens� mental, physical and social development, particularly in Africa. In the early stages of life, it leads to severe negative consequences on the cognitive growth and development of children
DOI: 10.82208/trdmc-211
title: Covid-19 Laboratory Result From THRI 02-Nov-2020
DOI: 10.82208/trdmc-174
title: DHIS2 report for the month Nehase 2011 EFY

description: This dataset contains health service data reported via DHIS2 for the Ethiopian month of Nehase 2011 EFY (August–September 2019). It includes key indicators such as outpatient visits, maternal and child health, immunizations, and disease surveillance to support routine health system monitoring.
DOI: 10.15468/dl.kx2hky
title: Occurrence Download

description: A dataset listing the 96 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((136.2763 -47.37994,140.2763 -47.37994,140.2763 -43.37994,136.2763 -43.37994,136.2763 -47.37994))",
 "Geometry POLYGON((490.77601 -9.22417,491.64824 -14.67558,501.31542 -18.67329,502.69645 -10.71422,501.53348 -10.82325,490.77601 -9.22417))",
 "Geometry POLYGON((130.6773 -10.65502,131.57435 -14.85837,141.44197 -18.83104,142.90289 -10.70628,141.64701 -10.86006,135.16258 -8.75838,130.42099 -8.73275,130.6773 -10.65502))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elapidae"
 ]
}

 The dataset's 96 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009776-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82208/trdmc-382
title: Tigray Regional Health Bureau – Morbidity Data (2012 E.C.)

description: This dataset presents morbidity reports collected from health facilities across the Tigray region during the Ethiopian Fiscal Year (EFY) 2012. It includes data on the incidence and distribution of communicable diseases, non-communicable conditions, maternal and child health issues, and other priority health problems. The dataset supports evidence-based planning, resource allocation, and monitoring of health trends at the regional level.
DOI: 10.82208/trdmc-152
title: TRHB Annual Profile 2011 and 2012 EFY

description: This dataset contains the TRHB Annual Profile for the fiscal year 2011 and 2012 EFY . It provides detailed information on the Tigray Regional Health Bureau's activities, including health service delivery, infrastructure development, and financial performance during the year. The dataset highlights key achievements in public health programs, disease prevention, health system strengthening, and community outreach efforts, as well as challenges faced and future goals for the region’s health sector.
DOI: 10.15468/dl.utezf6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Undulostrea megodon",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009807-250914085247600/datasets/export for details.
DOI: 10.82208/trdmc-185
title: DHIS2 OPD 2004

description: DHIS2 OPD 2004 E.C Description : This file contains standardized data elements and reporting formats for Outpatient Department (OPD) services as defined in the 2004 E.C national health information system guidelines. It is designed for use within DHIS2, an open-source health information platform used to collect, manage, and analyze health data
DOI: 10.82208/trdmc-347
title: Laboratory test Result Reporting Tigray Health Research Institute 28 -09-2012 Second Run

description: This dataset comprises Laboratory test Result Reporting Tigray Health Research Institute 28 -09-2012 Second Run. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.82208/trdmc-344
title: Laboratory test Result Reporting Tigray Health Research Institute 26 -09-2012 Second Run

description: This dataset comprises Laboratory test Result Reporting Tigray Health Research Institute 26 -09-2012 Second Run. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.82208/trdmc-330
title: COVID 19 Line list and Laboratory Registration Format Final THRI 07-12-2012 First Run

description: This dataset comprises COVID-19 case and laboratory testing records collected using the COVID 19 Line list and Laboratory Registration Format Final THRI 07-12-2012 First Run. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.82208/trdmc-324
title: COVID 19 Line list and Laboratory Registration Format Final THRI 04-12-2012 First Run

description: This dataset comprises COVID-19 case and laboratory testing records collected using the COVID 19 Line list and Laboratory Registration Format Final THRI 04-12-2012 First Run. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality
DOI: 10.82208/trdmc-312
title: COVID 19 Line list and Laboratory Registration Format Final 29-11-2012 Second Run

description: This dataset comprises COVID-19 case and laboratory testing records collected using the COVID 19 Line list and Laboratory Registration Format Final 29-11-2012 Second Run corresponding to the Second Run of data collection. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.15468/dl.69uhrb
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rudbeckia triloba",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009808-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubabhg
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rudbeckia triloba",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 887 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009811-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82208/trdmc-367
title: Old System HIV Viral Load Dataset (Stata Format) – Tigray Health Research Institute, Ethiopia

description: This dataset contains HIV Viral Load (VL) test results recorded using the “Old System” — an Excel-based data compilation method used before the integration of the Laboratory Information System (LIS) at the Tigray Health Research Institute (THRI) in Tigray, Ethiopia. The data has since been converted into Stata format (.dta) for statistical analysis and research purposes. It includes manually collected records from various health facilities and laboratories, capturing information such as test date, anonymized patient identifiers, viral load result (copies/mL), sample type, and facility name.
DOI: 10.82208/trdmc-295
title: Monthly Data Set Report 2013 E.C

description: The Monthly Data Set Report for 2013 E.C compiles key health indicators reported monthly from the Hospital/Clinic Monthly Service Delivery Report of Ayder Referral Hospital. It covers outpatient and inpatient services, morbidity and mortality data, maternal and child health, immunization, family planning, and disease surveillance. This report supports continuous monitoring, evaluation, and planning of health services throughout the year.
DOI: 10.6084/m9.figshare.30091126
title: <b>Large-scale capsule genotype nomenclature and visualization for deciphering </b><b>cps </b><b>locus evolution and variation of </b><b>Streptococcus pneumoniae</b>

description: The pneumococcal capsular polysaccharide synthesis (cps) gene locus undergoes continuous dynamic evolution, with critical variations potentially driving vaccine escape. However, current epidemiological surveillance lacks high-throughput analytical capability for cps locus architecture and evolutionary dynamics. Here we introduce Pneumo-Typer, a high-throughput tool enabling automated pneumococcal capsule genotype (CapT) nomenclature and visualization while integrating serotype and sequence type (ST/cgST) prediction directly from assembled whole-genome sequencing data. Performance evaluations demonstrate this integrated framework facilitates comprehensive analysis of CapT evolution and variation: i) Elucidation of multi-serotype serogroup formation through CapT evolutionary trajectory analysis within and across serotypes, revealing cps locus gene-flow patterns; ii) Identification of conserved CapT-ST correspondence reflecting vertical inheritance constraints of CapTs within lineages; and iii) Detection of CapT variations driving potentialcapsule antigenic shifts, underscoring how incorporating CapT variants into vaccine design represents a promising complementary strategy to enhance coverage. Besides, Pneumo-Typer achieves high-fidelity serotype prediction (98.44% accuracy), with serotype-ST association analyses and CapT visualization features enabling robust serotype validation. In conclusion, by integrating CapT characterization into surveillance frameworks, Pneumo-Typer enables precise monitoring of cps locus evolution and variation while supporting CapT-driven vaccine optimization strategies.
DOI: 10.6084/m9.figshare.30091126.v3
title: <b>Large-scale capsule genotype nomenclature and visualization for deciphering </b><b>cps </b><b>locus evolution and variation of </b><b>Streptococcus pneumoniae</b>

description: The pneumococcal capsular polysaccharide synthesis (cps) gene locus undergoes continuous dynamic evolution, with critical variations potentially driving vaccine escape. However, current epidemiological surveillance lacks high-throughput analytical capability for cps locus architecture and evolutionary dynamics. Here we introduce Pneumo-Typer, a high-throughput tool enabling automated pneumococcal capsule genotype (CapT) nomenclature and visualization while integrating serotype and sequence type (ST/cgST) prediction directly from assembled whole-genome sequencing data. Performance evaluations demonstrate this integrated framework facilitates comprehensive analysis of CapT evolution and variation: i) Elucidation of multi-serotype serogroup formation through CapT evolutionary trajectory analysis within and across serotypes, revealing cps locus gene-flow patterns; ii) Identification of conserved CapT-ST correspondence reflecting vertical inheritance constraints of CapTs within lineages; and iii) Detection of CapT variations driving potentialcapsule antigenic shifts, underscoring how incorporating CapT variants into vaccine design represents a promising complementary strategy to enhance coverage. Besides, Pneumo-Typer achieves high-fidelity serotype prediction (98.44% accuracy), with serotype-ST association analyses and CapT visualization features enabling robust serotype validation. In conclusion, by integrating CapT characterization into surveillance frameworks, Pneumo-Typer enables precise monitoring of cps locus evolution and variation while supporting CapT-driven vaccine optimization strategies.
DOI: 10.6084/m9.figshare.30091126.v2
title: <b>Large-scale capsule genotype nomenclature and visualization for deciphering </b><b>cps </b><b>locus evolution and variation of </b><b>Streptococcus pneumoniae</b>

description: The pneumococcal capsular polysaccharide synthesis (cps) gene locus undergoes continuous dynamic evolution, with critical variations potentially driving vaccine escape. However, current epidemiological surveillance lacks high-throughput analytical capability for cps locus architecture and evolutionary dynamics. Here we introduce Pneumo-Typer, a high-throughput tool enabling automated pneumococcal capsule genotype (CapT) nomenclature and visualization while integrating serotype and sequence type (ST/cgST) prediction directly from assembled whole-genome sequencing data. Performance evaluations demonstrate this integrated framework facilitates comprehensive analysis of CapT evolution and variation: i) Elucidation of multi-serotype serogroup formation through CapT evolutionary trajectory analysis within and across serotypes, revealing cps locus gene-flow patterns; ii) Identification of conserved CapT-ST correspondence reflecting vertical inheritance constraints of CapTs within lineages; and iii) Detection of CapT variations driving potentialcapsule antigenic shifts, underscoring how incorporating CapT variants into vaccine design represents a promising complementary strategy to enhance coverage. Besides, Pneumo-Typer achieves high-fidelity serotype prediction (98.44% accuracy), with serotype-ST association analyses and CapT visualization features enabling robust serotype validation. In conclusion, by integrating CapT characterization into surveillance frameworks, Pneumo-Typer enables precise monitoring of cps locus evolution and variation while supporting CapT-driven vaccine optimization strategies.
DOI: 10.15468/dl.qjtrmj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silurus lanzhouensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009809-250914085247600/datasets/export for details.
DOI: 10.15468/dl.ms4fv7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rudbeckia triloba",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009810-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82208/trdmc-369
title: Regional External Quality Assessment Scheme (REQAS) 2018 Dataset — Eastern and Mekelle Zones, Tigray Region

description: This dataset comprises 2018 data from the Regional External Quality Assessment Scheme (REQAS), compiled in Excel format. It includes detailed laboratory performance information from participating facilities located in the Eastern and Mekelle Zones of the Tigray Region, Ethiopia. The data captures results from various proficiency testing exercises conducted throughout 2018, covering key laboratory tests and quality indicators. Variables include laboratory identifiers, test types, submitted results, performance scores, and dates of assessment. This dataset serves as a valuable resource for monitoring and improving laboratory quality assurance programs, identifying performance gaps, and supporting capacity-building initiatives within the regional health system.
DOI: 10.82208/trdmc-353
title: Laboratory test Result Reporting Tigray Health Research Institute 30 -09-2012 First Run

description: This data set Laboratory test Result Reporting Tigray Health Research Institute 30 -09-2012 First Run It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.15468/dl.4wmqdk
title: Occurrence Download

description: A dataset containing 9394 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Otoliths Reference Collection. CBMR-AFORO (ICM-CSIC)"
 ]
}

 The dataset includes 9394 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009812-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82208/trdmc-328
title: COVID 19 Line list and Labratory Registration Format Final THRI 06-12-2012 Second Run

description: This dataset comprises COVID-19 case and laboratory testing records collected using the COVID 19 Line list and Laboratory Registration Format Final THRI 06-12-2012 Second Run. It was compiled by the Tigray Health Research Institute (THRI) in Mekelle, Tigray, Ethiopia as part of continued efforts to monitor and control the COVID-19 pandemic. Provided in Microsoft Excel (.xlsx) format, the dataset includes comprehensive patient-level data such as demographics, sample collection dates, types of laboratory tests performed, test results, and clinical outcomes. The standardized format ensures consistency and quality for epidemiological analysis and public health reporting. Access to the dataset is governed by the Data Access and Sharing Procedure of the Research Data Management Committee (RDMC), ensuring ethical use and data confidentiality.
DOI: 10.15468/dl.cmywfr
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Kobresia littledalei"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009813-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82208/trdmc-362
title: REQAS data and graph of BF &AFB

description: A dataset listing health facilities in Tigray Region, Ethiopia that participated in the Regional External Quality Assessment Scheme (REQAS) for malaria Blood Film (BF) microscopy and Acute Flaccid Paralysis (AFP) surveillance from 2009 to 2012 E.C. Includes facility-level participation records and performance results to support monitoring and improvement of diagnostic quality and polio surveillance services.
DOI: 10.82208/trdmc-180
title: DHIS2 2009 EFY Quarterly Report

description: This dataset provides quarterly aggregated health data reported via the DHIS2 platform for Ethiopian Fiscal Year 2009(July 2016 – July 2017). It covers key categories including maternal and child health, immunization, disease surveillance, service utilization, and reporting rates, at both national and regional levels. Ideal for tracking health trends and system performance.