cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1199153.10fu
title: SH1199153.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199156.10fu
title: SH1199156.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199157.10fu
title: SH1199157.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199159.10fu
title: SH1199159.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199160.10fu
title: SH1199160.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199164.10fu
title: SH1199164.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199165.10fu
title: SH1199165.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1199167.10fu
title: SH1199167.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25346/s6eecgix/h31ntb
title: msXV_108v_65_43.tif
DOI: 10.15468/dl.e2qcex
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Soliva anthemidifolia",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006904-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/qtw0d3
title: msXV_108v_65_42.tif
DOI: 10.25346/s6eecgix/bsta0b
title: msXV_108v_65_41.tif
DOI: 10.25346/s6eecgix/r98yuw
title: msXV_108v_65_40.tif
DOI: 10.25346/s6eecgix/yfy6pg
title: msXV_108v_65_39.tif
DOI: 10.25346/s6eecgix/hm3vtz
title: msXV_108v_65_38.tif
DOI: 10.25346/s6eecgix/pulwrj
title: msXV_108v_65_37.tif
DOI: 10.25346/s6eecgix/faxldu
title: msXV_108v_46_36.tif
DOI: 10.25346/s6eecgix/xxxrsl
title: msXV_108v_46_35.tif
DOI: 10.25346/s6eecgix/mwusty
title: msXV_108v_46_34.tif
DOI: 10.25346/s6eecgix/6y18rr
title: msXV_108v_46_33.tif
DOI: 10.25346/s6eecgix/tuh68f
title: msXV_108v_46_32.tif
DOI: 10.15468/dl.fwwn8c
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tellinella cruciata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 121 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006906-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/vr3cy0
title: msXV_108v_46_31.tif
DOI: 10.15468/dl.p7c67y
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nolana sedifolia"
 ]
}

 The dataset includes 567 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006907-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/jtrqbm
title: msXV_108v_46_30.tif
DOI: 10.25346/s6eecgix/wx5fra
title: msXV_108v_46_29.tif
DOI: 10.25346/s6eecgix/c4jocl
title: msXV_108v_46_28.tif
DOI: 10.25346/s6eecgix/yvroxp
title: msXV_108v_46_27.tif
DOI: 10.25346/s6eecgix/sxwcsr
title: msXV_108v_46_26.tif
DOI: 10.25346/s6eecgix/w9lult
title: msXV_108v_46_25.tif
DOI: 10.17632/4ms3zwwpfr
title: Seroprevalence and Risk Factors of Cytomegalovirus Infection among Healthy Sudanese Blood Donors Attending Central Blood Banks in Khartoum State

description: A cross-sectional dataset comprising 400 blood donors from the Central Blood Bank in Khartoum State, Sudan, collected between July and December 2022, was analyzed. The dataset includes demographic, occupational, and clinical variables as well as serological results for Cytomegalovirus (CMV) antibodies. The key variables are summarized as follows:

Age group: Donors were classified into four groups: ≤25 years (33.0%), 26–35 years (40.5%), 36–45 years (18.5%), and ≥46 years (8.0%).

Gender: Predominantly male donors (90.8%), with female donors comprising 9.2%.

Occupation: Categories included Unemployed (2.5%), Students (25.5%), Skilled Professionals (32.5%), Self-Employed (35.8%), and Workers (3.8%).

Residence: Donors resided in Khartoum (37.5%), Omdurman (32.8%), Bahri (27.5%), or other cities (2.3%).

Donor type: Family donors represented 54.5%, while voluntary donors accounted for 45.5%.

Blood group: Distribution was A (28.0%), B (25.3%), AB (1.8%), and O (45.0%).

Serological results: CMV IgG positivity was observed in 27.5% of donors, indicating prior exposure, and CMV IgM positivity in 10.0%, indicating recent or reactivated infection. Additional serological screening included HBV (1.8%) and Syphilis (2.3%).

The dataset allows investigation of associations between CMV serostatus and demographic, occupational, and clinical factors using chi-square tests and multivariate logistic regression, consistent with standard epidemiological practices for transfusion-transmissible infections.
A cross-sectional study of 400 blood donors at the Central Blood Bank in Khartoum assessed Cytomegalovirus (CMV) IgG and IgM seroprevalence. Donors were aged 18–60 years, predominantly male (90.8%), with data on age, gender, occupation, residence, donor type, and blood group. CMV IgG was positive in 27.5% and IgM in 10.0% of donors.

Chi-square analysis showed no significant association between CMV seropositivity and age, gender, occupation, residence, or blood group (p &gt; 0.05). Multivariate logistic regression indicated that family donors had lower odds of IgM positivity compared with voluntary donors (OR 0.48; 95% CI 0.24–0.98; p = 0.043), while no variables predicted IgG positivity.

These results demonstrate a considerable prevalence of past and recent CMV infection among healthy donors, highlighting the risk of transfusion-transmitted CMV. Selective CMV screening and leukoreduction strategies are recommended to improve transfusion safety. Analyses were conducted using Python (pandas, scipy, statsmodels), with significance set at p &lt; 0.05.
DOI: 10.17632/4ms3zwwpfr.1
title: Seroprevalence and Risk Factors of Cytomegalovirus Infection among Healthy Sudanese Blood Donors Attending Central Blood Banks in Khartoum State

description: A cross-sectional dataset comprising 400 blood donors from the Central Blood Bank in Khartoum State, Sudan, collected between July and December 2022, was analyzed. The dataset includes demographic, occupational, and clinical variables as well as serological results for Cytomegalovirus (CMV) antibodies. The key variables are summarized as follows:

Age group: Donors were classified into four groups: ≤25 years (33.0%), 26–35 years (40.5%), 36–45 years (18.5%), and ≥46 years (8.0%).

Gender: Predominantly male donors (90.8%), with female donors comprising 9.2%.

Occupation: Categories included Unemployed (2.5%), Students (25.5%), Skilled Professionals (32.5%), Self-Employed (35.8%), and Workers (3.8%).

Residence: Donors resided in Khartoum (37.5%), Omdurman (32.8%), Bahri (27.5%), or other cities (2.3%).

Donor type: Family donors represented 54.5%, while voluntary donors accounted for 45.5%.

Blood group: Distribution was A (28.0%), B (25.3%), AB (1.8%), and O (45.0%).

Serological results: CMV IgG positivity was observed in 27.5% of donors, indicating prior exposure, and CMV IgM positivity in 10.0%, indicating recent or reactivated infection. Additional serological screening included HBV (1.8%) and Syphilis (2.3%).

The dataset allows investigation of associations between CMV serostatus and demographic, occupational, and clinical factors using chi-square tests and multivariate logistic regression, consistent with standard epidemiological practices for transfusion-transmissible infections.
A cross-sectional study of 400 blood donors at the Central Blood Bank in Khartoum assessed Cytomegalovirus (CMV) IgG and IgM seroprevalence. Donors were aged 18–60 years, predominantly male (90.8%), with data on age, gender, occupation, residence, donor type, and blood group. CMV IgG was positive in 27.5% and IgM in 10.0% of donors.

Chi-square analysis showed no significant association between CMV seropositivity and age, gender, occupation, residence, or blood group (p &gt; 0.05). Multivariate logistic regression indicated that family donors had lower odds of IgM positivity compared with voluntary donors (OR 0.48; 95% CI 0.24–0.98; p = 0.043), while no variables predicted IgG positivity.

These results demonstrate a considerable prevalence of past and recent CMV infection among healthy donors, highlighting the risk of transfusion-transmitted CMV. Selective CMV screening and leukoreduction strategies are recommended to improve transfusion safety. Analyses were conducted using Python (pandas, scipy, statsmodels), with significance set at p &lt; 0.05.
DOI: 10.17632/hg9ccmh77n
title: Value Investing in Brazil: Long-Term Returns Relative to the Market Benchmark

description: This dataset provides a complete replication package for the empirical results reported in the associated study on a rules-based, Graham-style equity screening strategy in the Brazilian stock market. It includes self-contained Python scripts and companion Excel workbooks that reproduce the main statistical tests, robustness analyses, and benchmark comparisons.

The package contains: (i) annual and monthly inference tests (including heteroskedasticity/autocorrelation-consistent inference and resampling-based confidence intervals), (ii) risk-adjusted performance analysis via time-series factor regressions using publicly available NEFIN factor data, (iii) robustness tables based on sensitivity checks and quintile-style analyses, and (iv) a transparent transaction-cost sensitivity analysis (bps per trade) reporting the impact on cumulative performance metrics.

All calculations are provided in verifiable Excel workbooks and standalone Python scripts to facilitate auditability and replication. The scripts are designed to run offline (no external downloads required), and outputs are generated in spreadsheet format for straightforward inspection.

Data sources: The factor series used for risk-adjustment are based on NEFIN (Núcleo de Estudos em Finanças, FEA-USP). Benchmark rate series (e.g., Selic) are based on publicly available official sources.
DOI: 10.17632/hg9ccmh77n.2
title: Value Investing in Brazil: Long-Term Returns Relative to the Market Benchmark

description: This dataset provides a complete replication package for the empirical results reported in the associated study on a rules-based, Graham-style equity screening strategy in the Brazilian stock market. It includes self-contained Python scripts and companion Excel workbooks that reproduce the main statistical tests, robustness analyses, and benchmark comparisons.

The package contains: (i) annual and monthly inference tests (including heteroskedasticity/autocorrelation-consistent inference and resampling-based confidence intervals), (ii) risk-adjusted performance analysis via time-series factor regressions using publicly available NEFIN factor data, (iii) robustness tables based on sensitivity checks and quintile-style analyses, and (iv) a transparent transaction-cost sensitivity analysis (bps per trade) reporting the impact on cumulative performance metrics.

All calculations are provided in verifiable Excel workbooks and standalone Python scripts to facilitate auditability and replication. The scripts are designed to run offline (no external downloads required), and outputs are generated in spreadsheet format for straightforward inspection.

Data sources: The factor series used for risk-adjustment are based on NEFIN (Núcleo de Estudos em Finanças, FEA-USP). Benchmark rate series (e.g., Selic) are based on publicly available official sources.
DOI: 10.17632/c9gjtmwcyb
title: Digital Economy and Corporate Innovation Resilience_1.8

description: Digital Economy and Corporate Innovation Resilience
DOI: 10.17632/c9gjtmwcyb.1
title: Digital Economy and Corporate Innovation Resilience_1.8

description: Digital Economy and Corporate Innovation Resilience
DOI: 10.17632/2c67zhvyk7
title: Metabolic control of cytokinesis by glucose cAMP-PKA signaling in fission yeast. Microbiol Res. 2026 Jan:302:128345. doi: 10.1016/j.micres.2025.128345

description: Full raw data corresponding to Figures in Microbiol Res. 2026 Jan:302:128345. doi: 10.1016/j.micres.2025.128345
DOI: 10.17632/2c67zhvyk7.1
title: Metabolic control of cytokinesis by glucose cAMP-PKA signaling in fission yeast. Microbiol Res. 2026 Jan:302:128345. doi: 10.1016/j.micres.2025.128345

description: Full raw data corresponding to Figures in Microbiol Res. 2026 Jan:302:128345. doi: 10.1016/j.micres.2025.128345
DOI: 10.17632/dbztt8vjsm
title: Human vs. AI Mental Health Counselors

description: This study received approval from the Institutional Review Board (IRB). Participants were recruited via Prolific (N = 1,197) and were randomly assigned to one of two experimental conditions: an AI counselor condition (n = 604) and a human counselor condition (n = 593).
DOI: 10.17632/dbztt8vjsm.1
title: Human vs. AI Mental Health Counselors

description: This study received approval from the Institutional Review Board (IRB). Participants were recruited via Prolific (N = 1,197) and were randomly assigned to one of two experimental conditions: an AI counselor condition (n = 604) and a human counselor condition (n = 593).
DOI: 10.17632/8xn9jtw4dh
title: Dataset for 'The XSER1 lncRNA acts as an enhancer RNA and confers resistance to pathogens by promoting chromatin loop formation '

description: This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "The XSER1 lncRNA acts as an enhancer RNA and confers resistance to pathogens by promoting chromatin loop formation in rice" intended for publishing in Molecular Cell .
DOI: 10.17632/8xn9jtw4dh.1
title: Dataset for 'The XSER1 lncRNA acts as an enhancer RNA and confers resistance to pathogens by promoting chromatin loop formation '

description: This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "The XSER1 lncRNA acts as an enhancer RNA and confers resistance to pathogens by promoting chromatin loop formation in rice" intended for publishing in Molecular Cell .
DOI: 10.17632/wzsd3zy2cj
title: Resaerch data for the effect of potassium nitrate and plant growth-promoting bacteria on mexican lime under drought stress

description: These data relate to the effects of two levels of potassium nitrate and four strains of Bacillus on the morphological and physiological characteristics of Mexican lime.
In this method, the statistical method RSM has been used and the best regression model has been selected for the growth and physiological responses.
DOI: 10.17632/wzsd3zy2cj.1
title: Resaerch data for the effect of potassium nitrate and plant growth-promoting bacteria on mexican lime under drought stress

description: These data relate to the effects of two levels of potassium nitrate and four strains of Bacillus on the morphological and physiological characteristics of Mexican lime.
In this method, the statistical method RSM has been used and the best regression model has been selected for the growth and physiological responses.