cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vaxghe
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081579-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/92gvt9vmrm
title: The long term effects of COVID-19 on Pulmonary diffusing capacity for nitric oxide (DLNO) and carbon monoxide (DLCO)

description: Hypothesis: This study hypothesized that combining lung diffusing capacities for nitric oxide (DLNO) and carbon monoxide (DLCO) enhances detection of COVID-19-related lung pathologies over using DLCO alone, or spirometry, total lung capacity (TLC), or single measures. A combined DLNO+DLCO z-score was expected to better classify post-COVID lung function abnormalities, capturing a broader spectrum of pulmonary impairment.

Data Overview: The filtered pooled dataset (Covid19_Controls_Filtered.sav) includes 572 COVID-19 survivors & 72 controls (644 total) who completed all pulmonary function tests (PFTs) across five countries: Italy, France, Spain, Denmark, and Australia. About 98% of data from these centers is published in 6 peer-reviewed journals & 2 conference abstracts. Controls and COVID-19 cases were tested with the same equipment and protocols. The full PFT battery included DLNO and DLCO (median breath-hold 5.6 s), spirometry, and TLC, with z-scores from reference equations. COVID-19 survivors were tested 32–575 days post-infection (median 130 days). Missing TLC data was imputed. Mixed model binary logistic regression was used with “Study Site” as a random intercept, COVID-19 (1) vs. control (0) as the dependent variable, and z-scores for spirometry, TLC, and diffusion capacity as independent variables. Matthews correlation coefficient (MCC) assessed model classification using a threshold that maximized Youden's J.

Notable Findings: Among 572 post-COVID subjects aged 20–90 (median 60), 61 (11%) had confirmed restriction (TLC &lt; LLN, z-score &lt; -1.645). Additionally, 53% showed some type of impairment (obstruction, restriction, mixed disorder, or DLNO/DLCO &lt; LLN). Of 18 models evaluated, the one with the lowest Bayesian Information Criterion (BIC) was a combined DLNO+DLCO z-score model (DLNO and DLCO z-scores summed), showing superior COVID-19 detection. Four of the top five models were combined DLNO+DLCO or DLNO-only, while one was DLCO-only. MCC values showed all top five models were either combined or DLNO-only, with MCCs around 0.48. Dyspnea severity also correlated with combined, DLNO-only, and DLCO-only z-scores (p &lt; 0.001).

Data Interpretation and Implications: This study highlights that DLNO, when combined with DLCO, provides insights into COVID-19-altered lung diffusion, especially across the alveolar-capillary membrane. Combined z-scores improve post-COVID abnormality classification, supporting targeted follow-up for symptomatic survivors. Wider adoption of this approach would require regulatory approval and standardization. The combined technique shows promise in detecting subclinical COVID-19-related lung impairments, enhancing sensitivity in long-term monitoring.
DOI: 10.17632/92gvt9vmrm.3
title: The long term effects of COVID-19 on Pulmonary diffusing capacity for nitric oxide (DLNO) and carbon monoxide (DLCO)

description: Hypothesis: This study hypothesized that combining lung diffusing capacities for nitric oxide (DLNO) and carbon monoxide (DLCO) enhances detection of COVID-19-related lung pathologies over using DLCO alone, or spirometry, total lung capacity (TLC), or single measures. A combined DLNO+DLCO z-score was expected to better classify post-COVID lung function abnormalities, capturing a broader spectrum of pulmonary impairment.

Data Overview: The filtered pooled dataset (Covid19_Controls_Filtered.sav) includes 572 COVID-19 survivors & 72 controls (644 total) who completed all pulmonary function tests (PFTs) across five countries: Italy, France, Spain, Denmark, and Australia. About 98% of data from these centers is published in 6 peer-reviewed journals & 2 conference abstracts. Controls and COVID-19 cases were tested with the same equipment and protocols. The full PFT battery included DLNO and DLCO (median breath-hold 5.6 s), spirometry, and TLC, with z-scores from reference equations. COVID-19 survivors were tested 32–575 days post-infection (median 130 days). Missing TLC data was imputed. Mixed model binary logistic regression was used with “Study Site” as a random intercept, COVID-19 (1) vs. control (0) as the dependent variable, and z-scores for spirometry, TLC, and diffusion capacity as independent variables. Matthews correlation coefficient (MCC) assessed model classification using a threshold that maximized Youden's J.

Notable Findings: Among 572 post-COVID subjects aged 20–90 (median 60), 61 (11%) had confirmed restriction (TLC &lt; LLN, z-score &lt; -1.645). Additionally, 53% showed some type of impairment (obstruction, restriction, mixed disorder, or DLNO/DLCO &lt; LLN). Of 18 models evaluated, the one with the lowest Bayesian Information Criterion (BIC) was a combined DLNO+DLCO z-score model (DLNO and DLCO z-scores summed), showing superior COVID-19 detection. Four of the top five models were combined DLNO+DLCO or DLNO-only, while one was DLCO-only. MCC values showed all top five models were either combined or DLNO-only, with MCCs around 0.48. Dyspnea severity also correlated with combined, DLNO-only, and DLCO-only z-scores (p &lt; 0.001).

Data Interpretation and Implications: This study highlights that DLNO, when combined with DLCO, provides insights into COVID-19-altered lung diffusion, especially across the alveolar-capillary membrane. Combined z-scores improve post-COVID abnormality classification, supporting targeted follow-up for symptomatic survivors. Wider adoption of this approach would require regulatory approval and standardization. The combined technique shows promise in detecting subclinical COVID-19-related lung impairments, enhancing sensitivity in long-term monitoring.
DOI: 10.23719/1532383
title: The Social Dimensions of EPA’s Environmental Cleanup Work: “Community Engagement Survey Dataset”

description: This dataset is comprised of survey responses from EPA staff regarding environmental cleanup activities. The survey asked participants about strategies EPA cleanup personnel use to get to know communities, build trust, and build stakeholder relationships. It also contains questions related to the respondent’s employment status and history with the EPA, their current role in environmental cleanup, and the type of cleanup, cleanup site, and contaminants with which they most commonly work.
DOI: 10.23719/1528305
title: Gidley 2022 US Army Corps of Engineers

description: Data is available from Philip T. Gidley (philip.t.gidley@erdc.dren.mil), Environmental Laboratory, ERDC, US Army Corps of Engineers, Vicksburg, MS, USA
DOI: 10.23719/1532390
title: Modeling Wetland Resources for Spring Migratory Waterbirds Under Different Agricultural Management Scenarios: Data are contained within the manuscript and supplementary files as open access hosted by the publishing journal.

description: Mitchell, M.E., Anteau, M.J., Pearse, A.T. et al. Modeling Wetland Resources for Spring Migratory Waterbirds Under Different Agricultural Management Scenarios in the Iowa Portion of the Prairie Pothole Region, USA. Wetlands 45, 48 (2025). https://doi.org/10.1007/s13157-025-01930-y
DOI: 10.23719/1532366
title: CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada (v1.0)

description: CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada

Data contact: Havala Pye, ORCID: 0000-0002-2014-2140

This dataset provides daily predictions of ozone and fine particle (PM2.5) species across the contiguous U.S. and a large fraction of Canada at 12km horizontal resolution for 2023. Values are predicted by CMAQv5.5 with CRACMM chemistry.

Please see Pye, H. O. T. (2025). CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15732714 for the full archive.

Please cite the following for CMAQ with CRACMM2:
Skipper, T. N., D'Ambro, E. L., Wiser, F. C., McNeill, V. F., Schwantes, R. H., Henderson, B. H., Piletic, I. R., Baublitz, C. B., Bash, J. O., Whitehill, A. R., Valin, L. C., Mouat, A. P., Kaiser, J., Wolfe, G. M., St. Clair, J. M., Hanisco, T. F., Fried, A., Place, B. K., and Pye, H. O. T.: Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM), Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, 2024.

DISCLAIMER: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.
DOI: 10.17632/rb9ht5bn78.1
title: Radiological Exam Scheduling Times in Public Healthcare (Aragon, Spain): A Cleaned Dataset from IACS and SERAM

description: This dataset provides information about radiological procedures carried out in public hospitals in the Spanish region of Aragón during a representative month of scheduled (non-emergency) activity. It has been compiled from two main sources:

- The SERAM catalog (Spanish Society of Medical Radiology) from 2004 and 2009, which offers standardized estimated durations for a wide variety of radiological procedures.

- Anonymized hospital scheduling records extracted from the Hospital Information System (HIS), provided by the Aragonese Institute of Health Sciences (IACS).

The resulting dataset is a merged and cleaned version of the SERAM standards and the IACS hospital logs. The original SERAM data was extracted from PDFs and converted to structured format (Excel), followed by a meticulous cleaning process.

However, it is important to clarify several aspects regarding data quality and interpretation:

The so-called “actual duration” (duracion_real) values do not reflect the real execution time of radiological procedures. Instead, they refer to agenda slot durations allocated in the hospital's scheduling system. In other words, they represent planned time blocks, not the actual time a patient enters or exits the radiology room. To obtain real-time clinical execution data, it would be necessary to access the Radiology Information System (RIS), which logs precise timestamps of image acquisition, patient preparation, and post-procedure cleaning. Such access was not available. Therefore, these timing values may be overestimated or generalized, and do not account for operational variability inherent to clinical settings.

Despite these limitations, the dataset remains valuable for several use cases:

- As a foundation for synthetic data generation.
- For workflow modeling, bottleneck analysis, or resource planning studies, especially when complemented with assumptions or artificial enhancements.
- As a baseline structure for healthcare simulation frameworks.

Its utility lies primarily in simulation, modeling, and educational applications for data analysis, rather than precise clinical auditing. So even though this dataset does not fit perfectly fine-grained clinical efficiency analyses, it is a representation and a structured approximation from radiological studies in the real world.

The dataset contains 103.204 rows from different radiology deparments. It is fully anonymized and contains no personal or sensitive information. All fields, including column names are in spanish languaje but a translation and explanation of all fields is given.

Field metadata descriptions is given below in the uploaded file "metadata_description.txt"
DOI: 10.15468/dl.qnjv5v
title: Occurrence Download

description: A dataset containing 15384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.43488 15.43671,-93.1045 15.43671,-93.1045 15.7088,-93.43488 15.7088,-93.43488 15.43671))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15384 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081580-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mqevg
title: Occurrence Download

description: A dataset containing 73523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melaniparus niger (Vieillot, 1818)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 73523 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081564-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mdmbt2wk3f
title: Data - Systematic Analysis of Sustainable Brands and their Effect on Global Sustainability

description: Primary article data used in the review - Systematic Analysis of Sustainable Brands and their Effect on Global Sustainability
DOI: 10.17632/mdmbt2wk3f.1
title: Data - Systematic Analysis of Sustainable Brands and their Effect on Global Sustainability

description: Primary article data used in the review - Systematic Analysis of Sustainable Brands and their Effect on Global Sustainability
DOI: 10.5281/zenodo.15776793
title: Supporting Dataset for: Doctrinal and Comparative Regulatory Analysis of Blockchain-Based Donor Data Governance

description: This dataset supports the analysis presented in the paper Doctrinal and Comparative Regulatory Analysis of Blockchain-Based Donor Data Governance. It includes the master source table (n=57), regulatory matrix, coding rubric, simulated inter-coder reliability sheet, and a sample Python script for computing Cohen’s κ. The file is designed to enable replication of the source selection and assessment protocol described in section 4.2 and Appendix A of the manuscript.
DOI: 10.5281/zenodo.15776794
title: Supporting Dataset for: Doctrinal and Comparative Regulatory Analysis of Blockchain-Based Donor Data Governance

description: This dataset supports the analysis presented in the paper Doctrinal and Comparative Regulatory Analysis of Blockchain-Based Donor Data Governance. It includes the master source table (n=57), regulatory matrix, coding rubric, simulated inter-coder reliability sheet, and a sample Python script for computing Cohen’s κ. The file is designed to enable replication of the source selection and assessment protocol described in section 4.2 and Appendix A of the manuscript.
DOI: 10.15468/dl.5dc76u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Nauru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081581-250525065834625/datasets/export for details.
DOI: 10.15468/dl.2kf4nr
title: Occurrence Download

description: A dataset containing 21143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heterotheca subaxillaris (Lam.) Britton & Rusby"
 ]
}

 The dataset includes 21143 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081582-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtqdyj
title: Occurrence Download

description: A dataset containing 20293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20293 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081583-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzmrhj
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.97805 37.21771,-121.78302 37.03861,-121.49917 37.12335,-121.60714 37.35625,-121.97805 37.21771))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Actinemys marmorata (Baird & Girard, 1852), Actinemys marmorata marmorata, Actinemys marmorata pallida (Seeliger, 1945))"
 ]
}

 The dataset includes 73 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081585-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kba8fm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxalis corniculata L.",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081584-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9mn2i1w
title: Surface Elevation Table and Marker Horizon Measurements Along the Pacific Coast (ver. 2.0, June 2025)

description: Surface elevation table and marker horizon (SET-MH) plots were installed at multiple marshes along the Pacific coast beginning in 2012. They are used to measure millimeters of change in marsh elevation and accretion over time. This dataset includes SET pin height to measure elevation change and associated feldspar marker horizon depth to measure surface accretion spanning the Pacific coast. Individual pin height and feldspar depth measurements should not be treated as independent values. SET-MH mean and standard error calculations are provided for every site and date.

These data support the following publication:
Thorne, K.M., Bristow, M.L., Rankin, L.L., Kovalenko, K.E., Neville, J.A., Freeman, C.M. and Guntenspergen, G.R., 2024. Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA. Estuaries and Coasts, 47(7), pp.1972-1992. https://doi.org/10.1007/s12237-023-01298-4.
DOI: 10.15468/dl.fs7prh
title: Occurrence Download

description: A dataset containing 599125 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LACM Vertebrate Collection"
 ]
}

 The dataset includes 599125 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081574-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/frn4k4rwf3
title: Allergic disease and the risk of rosacea and psoriasis: A population-based cohort study using a large U.S. database Supplemental Information

description: This is the supplemental data including sensitivity analyses for the article Allergic disease and the risk of rosacea and psoriasis: A population-based cohort study using a large U.S. database.
DOI: 10.17632/frn4k4rwf3.1
title: Allergic disease and the risk of rosacea and psoriasis: A population-based cohort study using a large U.S. database Supplemental Information

description: This is the supplemental data including sensitivity analyses for the article Allergic disease and the risk of rosacea and psoriasis: A population-based cohort study using a large U.S. database.
DOI: 10.15468/dl.d3w99e
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melaniparus pallidiventris (Reichenow, 1885)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081586-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dsxbvvzrrn
title: Immunological, hematological and biochemical studies on the adverse effects of ethephon and gibberellic acid in adult albino rat and the possible protective role of vitamin C.

description: Gibberellic acid (GA3) and Ethephon (ETP) are plant growth regulators that are largely used in agriculture of many countries to accelerate and control the production of a wide variety of vegetables and fruits. The purpose of this study was to evaluate the toxicity of GA3 and/or ETP and protective effect of vitamin C on some immunological, hematological and hepatic parameters in male albino rats. Rats were divided into six groups (6 animals per group) as follows: 1) G1, was considered as control group, received saline solution (1ml/kg). 2) G2 received vitamin C (200 mg/kg). 3) G3 received GA3 (75 mg / kg). 4) G4 was given ETP (150 mg/kg) 5) G5 received vitamin C+ GA3 with the same previous doses. 6) G6 was given vitamin C+ ETP with the same previous doses. All doses were given orally and once daily for six weeks. The results demonstrated that administration of GA3 and/or ETP induced alterations and adverse effects in most of the measured parameters. The immunological parameters showed significant decrease in levels of Immunoglobulins (Igs), IgG, IgA, and IgM and significant increase in serum pro-inflammatory cytokines INF-γ, TNF- α, IL-1β and IL-6 compared with control group. In addition, significant increase in WBCs and lymphocytes and significant decrease in neutrophil were recorded. The results also showed a significant decrease in RBCs with a decrease in hemoglobin content compared with control group. Hepatotoxic effect of both GA3 and ETP was indicated in the present study by significant elevated levels of ALT, AST, ALP, GGT, bilirubin and AFP and significant decreased levels of total proteins and albumins. Liver lipid peroxidation (MDA) and serum NO were significantly elevated in GA3 and ETP groups compared with control group, on the other hand, both GA3 and ETP caused a significant decrease in liver antioxidant enzymes SOD and CAT and GSH content. Administration of vitamin C with GA3 and/or ETP ameliorated the all previous studied parameters compared with GA3 and/or ETP groups. So, it could be concluded that both GA3 and ETP could induce immunological disturbance, liver dysfunction and injury, alteration in hematological parameters and oxidative stress and vitamin C could ameliorate these changes and this may be attributed to its anti-inflammatory, antioxidant and free radicals scavenging properties.