cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gc5lqr
title: Replication Data for: Conte, Gordon, Smartwood, Wilwerding, and Yu (2023). Observational studies generate misleading results about the health effects of air pollution.

description: This repository contains data and code for replication of the results in Conte et al. (2023) Observational studies generate misleading results about the health effects of air pollution: evidence from chronic air pollution and COVID-19 outcomes.
description: Due to the data use agreement signed with the NYC Department of Health and Mental Health, we are not permitted to publicly share the covid death and hospitalization data at the tract level in New York City. For access to this data, please contact: BCD_reportable_data@health.nyc.gov.

All other raw datafiles and code are provided. 

How to use this repository:

1) To generate main datasets used in analyses, start with the master_preprocessing.R file. This file is commented throughout, and builds the final datasets based on cleaned data from various sources. The repository contains all the cleaned data files (with the exception of the Covid data) required to build master.csv, master_stratified.csv, age_stratified.csv, and race_stratified.csv. We have also included versions of these final data sets with the Covid data removed. The lines that rely on the Covid data have been commented out so that the file will run as-is.

The file also notes in comments throughout which scripts were used in preprocessing various raw data files (e.g. ACS_race_preprocessing_tract.R cleans raw ACS data for use in the master_preprocessing.R script). The raw data files and cleaning scripts are also provided in case the user wants to replicate the preprocessing steps. 

2) tract_figures.Rmd is an R notebook that generates the maps, histograms, and scatterplots in the final paper and supplement.

3) final_estimation.Rmd is the main analysis file. This runs all the regressions for which results are reported, and also generates all the tables in the supplement. 

4) final_estimation_figures.Rmd replicates the main analysis in a more convenient way for generating the coefficient plots in the final paper.
DOI: 10.7910/dvn/qsfxlq
title: BTVote MP Characteristics

description: The dataset contains characteristics of the all members of parliament (MPs) participating in at least one roll call vote in the first 19 legislative periods of the German Bundestag (1949-2021). It can be linked to the other two BTVote datasets containing characteristics of the motions voted upon and individual voting behavior on roll calls. Information on linking these datasets is provided in the codebook.
DOI: 10.7910/dvn/wi65zu
title: Cue Combination Methods Experiment Data

description: Data for each participant are provided. Also provided are excel spreadsheets containing data computed from raw data files.
DOI: 10.7910/dvn/m9f1xy
title: 2020 Census Geographies

description: Every ten years, the U.S. Census Bureau conducts a count and collects information on the U.S. population. As part of this process, the Census Bureau creates a series of nested geographies for proper sampling and counting. As of the 2020 census, the City of Boston, MA contains 5,975 census blocks (defined as any piece of land bounded by streets or water on all sides, and not divided by any streets or water). These census blocks are nested within 581 census block groups, which are themselves nested within 207 census tracts. These geographies are permanent for one decade and are meant to remain semi-permanent from census to census. BARI often uses census geographies as units of analyses in our research since they act as approximations of neighborhoods. Information pertaining to these files can be found in the most recent documentation for the "Geographical Infrastructure for the City of Boston." Note: Census geographies are updated every 10 years, so these geographies will be the most current ones until 2030.
DOI: 10.7910/dvn/qs9s35
title: Micro-CT scans of Thorius tlaxiacus - head only

description: Thorius tlaxiacus
DOI: 10.15468/dl.6ce4uh
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017659-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25349
title: Chandra X-ray Observatory ObsId 25349

description: THE CHANDRA ROUTE TOWARDS DEFINING THE X-RAY PROPERTIES OF THE MOST LUMINOUS QUASARS IN THE UNIVERSE
DOI: 10.15468/dl.badb8k
title: Occurrence Download

description: A dataset containing 1577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gerrhonotus infernalis"
 ]
}

 The dataset includes 1577 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025724-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25739
title: Chandra X-ray Observatory ObsId 25739

description: Uncovering the X-ray Properties of a z~6.5 Radio-Powerful Quasar
DOI: 10.25574/26188
title: Chandra X-ray Observatory ObsId 26188

description: Determining the Mass of the IC 10 X-1 Black Hole with Coordinated Multiwavelength Observations
DOI: 10.25574/26254
title: Chandra X-ray Observatory ObsId 26254

description: Uncovering the X-ray Properties of a z~6.5 Radio-Powerful Quasar
DOI: 10.25574/26255
title: Chandra X-ray Observatory ObsId 26255

description: Why does feedback fail? The cluster-central type-II QSO in CL 09104+4109
DOI: 10.25574/26271
title: Chandra X-ray Observatory ObsId 26271

description: Stellar activity with TESS and Chandra
DOI: 10.15468/dl.mkpmkv
title: Occurrence Download

description: A dataset containing 9685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus",
 "Year 2024-2024"
 ]
}

 The dataset includes 9685 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011277-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxz96f
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CAN.11.65_1, CAN.10_1, CAN.5_1, CAN.4_1, CAN.7_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Angelica sylvestris"
 ]
}

 The dataset includes 816 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011278-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kugnx6
title: Occurrence Download

description: A dataset containing 1431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.14_1",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 1431 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011279-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18370361
title: DIFFERENTIAL DIAGNOSIS OF ACUTE RESPIRATORY VIRAL INFECTIONS AND INFLUENZA BASED ON CLINICAL SYMPTOMS: A COMPARATIVE ANALYSIS

description: Background: Acute Respiratory Viral Infections (ARVI) and Influenza share similar transmission routes and overlapping symptoms, yet they differ significantly in prognosis and management. Misdiagnosis often leads to inappropriate antibiotic use and failure to prescribe specific antivirals for influenza. This study aims to identify the key clinical discriminators between seasonal Influenza and non-influenza ARVI to improve bedside diagnostic accuracy in primary care settings. Methods: A prospective observational study was conducted involving 400 patients presenting with acute respiratory symptoms during the epidemic season. Patients were stratified into two groups based on PCR confirmation: Group 1 (Influenza A/B, n=150) and Group 2 (Non-Influenza ARVI, n=250). Clinical parameters including onset speed, fever magnitude, intoxication signs, and catarrhal symptoms were compared. Results: Influenza was characterized by a hyperacute onset (92% vs 15% in ARVI, p<0.001), high fever >38.5°C (88% vs 22%), and severe systemic intoxication (myalgia, headache) with minimal initial catarrhal symptoms. In contrast, non-influenza ARVI presented with a gradual onset, predominant rhinorrhea, and sneezing. The combination of "Sudden onset + Fever >38°C + Cough + Absence of Runny Nose" had a positive predictive value of 85% for Influenza. Conclusion: While laboratory confirmation is the gold standard, specific clinical constellations allow for reliable early differentiation. Recognizing the "Intoxication-Catarrhal Dissociation" is crucial for the timely administration of neuraminidase inhibitors and the reduction of unnecessary antibiotic prescriptions.
DOI: 10.5281/zenodo.18370362
title: DIFFERENTIAL DIAGNOSIS OF ACUTE RESPIRATORY VIRAL INFECTIONS AND INFLUENZA BASED ON CLINICAL SYMPTOMS: A COMPARATIVE ANALYSIS

description: Background: Acute Respiratory Viral Infections (ARVI) and Influenza share similar transmission routes and overlapping symptoms, yet they differ significantly in prognosis and management. Misdiagnosis often leads to inappropriate antibiotic use and failure to prescribe specific antivirals for influenza. This study aims to identify the key clinical discriminators between seasonal Influenza and non-influenza ARVI to improve bedside diagnostic accuracy in primary care settings. Methods: A prospective observational study was conducted involving 400 patients presenting with acute respiratory symptoms during the epidemic season. Patients were stratified into two groups based on PCR confirmation: Group 1 (Influenza A/B, n=150) and Group 2 (Non-Influenza ARVI, n=250). Clinical parameters including onset speed, fever magnitude, intoxication signs, and catarrhal symptoms were compared. Results: Influenza was characterized by a hyperacute onset (92% vs 15% in ARVI, p<0.001), high fever >38.5°C (88% vs 22%), and severe systemic intoxication (myalgia, headache) with minimal initial catarrhal symptoms. In contrast, non-influenza ARVI presented with a gradual onset, predominant rhinorrhea, and sneezing. The combination of "Sudden onset + Fever >38°C + Cough + Absence of Runny Nose" had a positive predictive value of 85% for Influenza. Conclusion: While laboratory confirmation is the gold standard, specific clinical constellations allow for reliable early differentiation. Recognizing the "Intoxication-Catarrhal Dissociation" is crucial for the timely administration of neuraminidase inhibitors and the reduction of unnecessary antibiotic prescriptions.
DOI: 10.15468/dl.x33fqs
title: Occurrence Download

description: A dataset containing 13585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -90,180 -90,180 -50,-180 -50,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphausia superba",
 "Year 2000-2026"
 ]
}

 The dataset includes 13585 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011280-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgg2p7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cystostemon heliocharis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011282-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9yrms
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Romania",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GbifRegion is Europe and Central Asia",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is inaturalist",
 "Issue is one of (Coordinate rounded, Continent derived from coordinates, The taxon ID was not found in the checklist)",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Corvus corax"
 ]
}

 The dataset includes 399 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011283-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmfpsv
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Decalepidanthus echioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 169 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011284-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18370364
title: An Empirical Investigation of the Experiences of Dyslexic Software Engineers - Dataset

description: This dataset contains supporting documents for the paper titled, "An Empirical Investigation of the Experiences of Dyslexic Software Engineers", published at CHASE conference 2026. The files are as follows:



consent_form.pdf - contains the informed consent used during interviews.

interview_guideline.pdf - contains the interview instrument.

searchTerms.txt - contains the exact search terms used for the different sub-reddits.

codes_reddit.xlsx - contains the full dataset of reddit posts with corresponding codes.

codebook.xlsx - contains examples of quotes and codes used for the categories discussed in the paper. Note that these are only excerpts and not the full mapping of quotes to categories.


For the coding files, note that we used primarily in-vivo coding. As such, codes use the exact words used by the authors. This means that codes typically do not overlap. Similarly, it is not feasible or desirable to calculate inter-rater agreements or similar consensus measures.
DOI: 10.5281/zenodo.18370365
title: An Empirical Investigation of the Experiences of Dyslexic Software Engineers - Dataset

description: This dataset contains supporting documents for the paper titled, "An Empirical Investigation of the Experiences of Dyslexic Software Engineers", published at CHASE conference 2026. The files are as follows:



consent_form.pdf - contains the informed consent used during interviews.

interview_guideline.pdf - contains the interview instrument.

searchTerms.txt - contains the exact search terms used for the different sub-reddits.

codes_reddit.xlsx - contains the full dataset of reddit posts with corresponding codes.

codebook.xlsx - contains examples of quotes and codes used for the categories discussed in the paper. Note that these are only excerpts and not the full mapping of quotes to categories.


For the coding files, note that we used primarily in-vivo coding. As such, codes use the exact words used by the authors. This means that codes typically do not overlap. Similarly, it is not feasible or desirable to calculate inter-rater agreements or similar consensus measures.
DOI: 10.15468/dl.tpcapx
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echiochilon jugatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011285-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18370395
title: ADVANCES IN GREEN CHEMISTRY AND THEIR IMPACT ON SUSTAINABLE DEVELOPMENT

description: Green chemistry has emerged as a key scientific approach aimed at reducing the environmental and health impacts of chemical processes and products. By promoting the design of safer chemicals, minimizing waste, and using renewable resources, green chemistry supports sustainable development and environmental protection. This article examines recent advances in green chemistry and their role in addressing global challenges such as pollution, climate change, and resource depletion. The study highlights how green chemical innovations contribute to sustainable industrial practices, environmental safety, and long-term economic development.
DOI: 10.5281/zenodo.18370394
title: ADVANCES IN GREEN CHEMISTRY AND THEIR IMPACT ON SUSTAINABLE DEVELOPMENT

description: Green chemistry has emerged as a key scientific approach aimed at reducing the environmental and health impacts of chemical processes and products. By promoting the design of safer chemicals, minimizing waste, and using renewable resources, green chemistry supports sustainable development and environmental protection. This article examines recent advances in green chemistry and their role in addressing global challenges such as pollution, climate change, and resource depletion. The study highlights how green chemical innovations contribute to sustainable industrial practices, environmental safety, and long-term economic development.
DOI: 10.15468/dl.6fypvr
title: Occurrence Download

description: A dataset containing 61516 records in GBIF matching the query:
SELECT
 '429' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 41.89415215079384
 AND decimalLatitude &lt;= 46.479780028101516
 AND decimalLongitude &gt;= -107.00476756053553
 AND decimalLongitude &lt;= -95.90519603780048
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 61516 records were derived from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011281-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9v67f
title: Occurrence Download

description: A dataset containing 4511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echium plantagineum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4511 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011287-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gyf3c
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "TaxonKey is Helianthus annuus"
 ]
}

 The dataset includes 1082 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011288-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpfn62
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Molluscan collection of Osaka Museum of Natural History",
 "TaxonKey is Limidae"
 ]
}

 The dataset includes 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011290-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14617378
title: Indonesian Hoax News Dataset
DOI: 10.5281/zenodo.18370427
title: THE ROLE OF BIOCHEMISTRY IN PERSONALIZED MEDICINE AND TARGETED THERAPY

description: Biochemistry plays a crucial role in the development of personalized medicine and targeted therapy by providing a molecular understanding of disease mechanisms and individual biological variability. Personalized medicine aims to tailor medical treatment to the specific biochemical and genetic characteristics of each patient, while targeted therapy focuses on precise molecular targets involved in disease progression. This article examines the role of biochemistry in personalized medicine, highlighting biochemical markers, molecular pathways, pharmacogenomics, and targeted therapeutic strategies. The study emphasizes how biochemical research improves treatment efficacy, reduces adverse effects, and supports the advancement of modern healthcare.
DOI: 10.5281/zenodo.18370426
title: THE ROLE OF BIOCHEMISTRY IN PERSONALIZED MEDICINE AND TARGETED THERAPY

description: Biochemistry plays a crucial role in the development of personalized medicine and targeted therapy by providing a molecular understanding of disease mechanisms and individual biological variability. Personalized medicine aims to tailor medical treatment to the specific biochemical and genetic characteristics of each patient, while targeted therapy focuses on precise molecular targets involved in disease progression. This article examines the role of biochemistry in personalized medicine, highlighting biochemical markers, molecular pathways, pharmacogenomics, and targeted therapeutic strategies. The study emphasizes how biochemical research improves treatment efficacy, reduces adverse effects, and supports the advancement of modern healthcare.
DOI: 10.15468/dl.e9ehhz
title: Occurrence Download

description: A dataset containing 30894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Pityrogramma"
 ]
}

 The dataset includes 30894 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011291-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.