cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27275988.v1
title: Supplementary files belonging to Crous et al. (2024) Fungal Planet description sheets: 1697–1780 - Fungal Systematics and Evolution 14: 325–577

description: Alignments and phylogenetic trees processed through Mesquite and belonging to new species described in this Fungal Planet set contributed by the Westerdijk Fungal Biodiversity Institute, Utrecht, the Netherlands. See the figure legends associated with each description sheet in the original publication for more details. A table with GenBank accession numbers is provided for Fungal Planet 1700 (<i>Penicillium geertdesnooi</i>).<br>
DOI: 10.6084/m9.figshare.28227644
title: Extracted Data on Technological Factors Influencing Biomass Policies in Nigeria.

description: The study analyzed empirical research to assess the technological factors affecting the adoption of biomass energy and the development of related policies in Nigeria. A total of 12 articles on biomass utilization were reviewed, and summative content analysis was applied to examine the results. The findings indicate that technological challenges, such as outdated processing methods, insufficient research and development, and inadequate infrastructure, significantly hinder Nigeria's ability to fully tap into its biomass potential.
DOI: 10.6084/m9.figshare.28227644.v2
title: Extracted Data on Technological Factors Influencing Biomass Policies in Nigeria.

description: The study analyzed empirical research to assess the technological factors affecting the adoption of biomass energy and the development of related policies in Nigeria. A total of 12 articles on biomass utilization were reviewed, and summative content analysis was applied to examine the results. The findings indicate that technological challenges, such as outdated processing methods, insufficient research and development, and inadequate infrastructure, significantly hinder Nigeria's ability to fully tap into its biomass potential.
DOI: 10.6084/m9.figshare.28227644.v1
title: Extracted Data on Technological Factors Influencing Biomass Policies in Nigeria.

description: The study analyzed empirical research to assess the technological factors affecting the adoption of biomass energy and the development of related policies in Nigeria. A total of 12 articles on biomass utilization were reviewed, and summative content analysis was applied to examine the results. The findings indicate that technological challenges, such as outdated processing methods, insufficient research and development, and inadequate infrastructure, significantly hinder Nigeria's ability to fully tap into its biomass potential.
DOI: 10.15468/dl.5vfb3b
title: Occurrence Download

description: A dataset containing 15164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.92136 51.35324,10.48289 51.37376,14.28048 51.39429,14.20864 52.96465,14.16758 54.26814,7.04453 54.07313,6.92136 51.35324))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Staphylinidae"
 ]
}

 The dataset includes 15164 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005740-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuwuz4
title: Occurrence Download

description: A dataset containing 2056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer monspessulanum L.",
 "Country is Germany"
 ]
}

 The dataset includes 2056 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005742-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npfevg
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orinus Hitchc."
 ]
}

 The dataset includes 274 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005743-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6njjsm
title: Occurrence Download

description: A dataset containing 1322082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Philippines"
 ]
}

 The dataset includes 1322082 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005730-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14242436
title: Code and past sea-surface temperature data used in: Coral bleaching and mortality overestimated in projections based on Degree Heating Months

description: This respository contains code and data used for analysis of Degree Heating Weeks and Degree Heating Months at the Great Barrier Reef over the 2001-2020 period in the paper "Coral bleaching and mortality overestimated in projections based on Degree Heating Months", and code used to create Degree Heating Months datasets for the 2022-2099 period used in ecosystem projections in this paper. For enquiries about this repository, please email robert.mason1@uqconnect.edu.au

Final Degree Heating Months and Degree Heating Weeks datafiles used in 2022-2099 ecosystem projections in this paper can be found in the following Folder "Model.zip\ReefModGBR_Feb2021_Robs_running_copy\Climate Models\" of the Zenodo repository: https://doi.org/10.5281/zenodo.7725354

Code and datasets used to create the Degree Heating Week datafiles used in 2022-2099 ecosystem projections can be found in the Zenodo repository: https://doi.org/10.5281/zenodo.7725354

Code for and outputs of ecosystem modelling using Degree Heating Weeks are found in: https://doi.org/10.5281/zenodo.7725354. Additional code used for, and outputs of, ecosystem modelling using Degree Heating Months are found in: https://doi.org/10.6084/m9.figshare.25512310

The file "CoralTempGBR1985to2019.mat" was used in the file "Coraltemp_climatology_TrajectoriesPaper.m" in the following folder "Climate_data.zip/Climate_data/Common_scripts_and_datasets/" in the Zenodo repository: https://doi.org/10.5281/zenodo.7725354
DOI: 10.5281/zenodo.14242437
title: Code and past sea-surface temperature data used in: Coral bleaching and mortality overestimated in projections based on Degree Heating Months

description: This respository contains code and data used for analysis of Degree Heating Weeks and Degree Heating Months at the Great Barrier Reef over the 2001-2020 period in the paper "Coral bleaching and mortality overestimated in projections based on Degree Heating Months", and code used to create Degree Heating Months datasets for the 2022-2099 period used in ecosystem projections in this paper. For enquiries about this repository, please email robert.mason1@uqconnect.edu.au

Final Degree Heating Months and Degree Heating Weeks datafiles used in 2022-2099 ecosystem projections in this paper can be found in the following Folder "Model.zip\ReefModGBR_Feb2021_Robs_running_copy\Climate Models\" of the Zenodo repository: https://doi.org/10.5281/zenodo.7725354

Code and datasets used to create the Degree Heating Week datafiles used in 2022-2099 ecosystem projections can be found in the Zenodo repository: https://doi.org/10.5281/zenodo.7725354

Code for and outputs of ecosystem modelling using Degree Heating Weeks are found in: https://doi.org/10.5281/zenodo.7725354. Additional code used for, and outputs of, ecosystem modelling using Degree Heating Months are found in: https://doi.org/10.6084/m9.figshare.25512310

The file "CoralTempGBR1985to2019.mat" was used in the file "Coraltemp_climatology_TrajectoriesPaper.m" in the following folder "Climate_data.zip/Climate_data/Common_scripts_and_datasets/" in the Zenodo repository: https://doi.org/10.5281/zenodo.7725354
DOI: 10.15468/dl.vag2ru
title: Occurrence Download

description: A dataset containing 83715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 83715 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005741-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ut3b4
title: Occurrence Download

description: A dataset containing 586049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "Geometry POLYGON((48.21777 -17.17614,49.79677 -17.3995,50.70761 -15.44134,49.891 -12.42378,48.98016 -12.05545,44.55158 -16.01575,44.30031 -16.91934,48.21777 -17.17614))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 586049 records from 565 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005734-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/f39k-zw11
title: Structure of the register of immovable monuments by date of individual objects – comparison of 2017 and 2024
DOI: 10.5281/zenodo.11571403
title: Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks

description: Gene-environment interaction (GxE) analysis elucidates the interplay between genetic predispositions and environmental influences, offering significant potential for precision medicine. With the increasing use of electronic health records (EHR) linked to genetic data in large-scale biobanks, genome-wide association studies (GWAS) have expanded to encompass complex traits with intricate structures, such as time-to-event and ordinal categorical traits. Although these complex traits convey more phenotypic information, most existing scalable genome-wide GxE analysis approaches only focus on quantitative or binary traits. In this work, we propose a scalable and accurate analysis framework, SPAGxECCT, that is applicable to a wide variety of trait types. We extend SPAGxE to SPAGxE+, which can account for sample relatedness. In addition, we extend SPAGxECCT to SPAGxEmixCCT, which accounts for population stratification and is applicable to include individuals from multiple ancestries or admixed populations. We applied SPAGxECCT, SPAGxE+, and SPAGxEmixCCT to analyze time-to-event traits in UK Biobank. For the SPAGxECCT analyses, 281,149 White British individuals were included. For the SPAGxE+ analyses, 337,367 WB individuals with sample relatedness were included.  For the SPAGxEmixCCT analyses, 338,044 individuals from all ancestries were included. SPAGxECCT, SPAGxE+, and SPAGxEmixCCT are computationally efficient to analyze large datasets with hundreds of thousands of individuals, can accurately control type I error rates while remaining powerful to identify novel GxE findings.
DOI: 10.5281/zenodo.11571404
title: A scalable and accurate framework for large-scale genome-wide gene-environment interaction analysis and its application to time-to-event and ordinal categorical traits

description: Gene-environment interaction (GxE) analysis elucidates the interplay between genetic predispositions and environmental influences, offering significant potential for precision medicine. With the increasing use of electronic health records (EHR) linked to genetic data in large-scale biobanks, genome-wide association studies (GWAS) have expanded to encompass complex traits with intricate structures, such as time-to-event and ordinal categorical traits. Although these complex traits convey more phenotypic information, most existing scalable genome-wide GxE analysis approaches only focus on quantitative or binary traits. In this work, we propose a scalable and accurate analysis framework, SPAGxECCT, that is applicable to a wide variety of trait types. In addition, we extend SPAGxECCT to SPAGxEmixCCT, which accounts for population stratification and is applicable to include individuals from multiple ancestries or admixed populations. We applied SPAGxECCT and SPAGxEmixCCT to analyze time-to-event traits in UK Biobank. For the SPAGxECCT analyses, 281,149 White British individuals were included. For the SPAGxEmixCCT analyses, 338,044 individuals from all ancestries were included. SPAGxECCT and SPAGxEmixCCT are computationally efficient to analyze large datasets with hundreds of thousands of individuals, can accurately control type I error rates while remaining powerful to identify novel GxE findings.
DOI: 10.5281/zenodo.12679425
title: A scalable and accurate framework for large-scale genome-wide gene-environment interaction analysis and its application to time-to-event and ordinal categorical traits

description: Gene-environment interaction (GxE) analysis elucidates the interplay between genetic predispositions and environmental influences, offering significant potential for precision medicine. With the increasing use of electronic health records (EHR) linked to genetic data in large-scale biobanks, genome-wide association studies (GWAS) have expanded to encompass complex traits with intricate structures, such as time-to-event and ordinal categorical traits. Although these complex traits convey more phenotypic information, most existing scalable genome-wide GxE analysis approaches only focus on quantitative or binary traits. In this work, we propose a scalable and accurate analysis framework, SPAGxECCT, that is applicable to a wide variety of trait types. In addition, we extend SPAGxECCT to SPAGxEmixCCT, which accounts for population stratification and is applicable to include individuals from multiple ancestries or admixed populations. We applied SPAGxECCT and SPAGxEmixCCT to analyze time-to-event traits in UK Biobank. For the SPAGxECCT analyses, 281,149 White British individuals were included. For the SPAGxEmixCCT analyses, 338,044 individuals from all ancestries were included. SPAGxECCT and SPAGxEmixCCT are computationally efficient to analyze large datasets with hundreds of thousands of individuals, can accurately control type I error rates while remaining powerful to identify novel GxE findings.
DOI: 10.15468/dl.p7bbf7
title: Occurrence Download

description: A dataset containing 2056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer monspessulanum L.",
 "Country is Germany"
 ]
}

 The dataset includes 2056 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005746-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axamhv
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material citation)",
 "TaxonKey is Nyctimene rabori Heaney & Peterson, 1984"
 ]
}

 The dataset includes 117 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005747-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14710328
title: PHYSICAL FITNESS, HEALTH-RELATED QUALITY OF LIFE AND STRESS IN COLLEGE STUDENTS.

description: The dataset for this project collects self-reported data from nursing students at the European University of Madrid and the University of Castilla-La Mancha. It focuses on variables related to physical fitness (assessed through the International Fitness Scale), quality of life (using WHOQOL-BREF), perceived stress (Perceived Stress Scale), and sociodemographic factors such as age, socioeconomic status, BMI, sleep habits, energy drink consumption, and screen time. The data is gathered via an anonymized online questionnaire targeting 700 students aged 18 and over. The cross-sectional analysis explores relationships between fitness, sedentary behavior, quality of life, and stress, using descriptive and multivariate statistical methods, including ANOVA and ANCOVA. Ethical guidelines, including confidentiality and voluntary participation, are strictly followed, ensuring compliance with the Declaration of Helsinki.
DOI: 10.5281/zenodo.14710329
title: PHYSICAL FITNESS, HEALTH-RELATED QUALITY OF LIFE AND STRESS IN COLLEGE STUDENTS.

description: The dataset for this project collects self-reported data from nursing students at the European University of Madrid and the University of Castilla-La Mancha. It focuses on variables related to physical fitness (assessed through the International Fitness Scale), quality of life (using WHOQOL-BREF), perceived stress (Perceived Stress Scale), and sociodemographic factors such as age, socioeconomic status, BMI, sleep habits, energy drink consumption, and screen time. The data is gathered via an anonymized online questionnaire targeting 700 students aged 18 and over. The cross-sectional analysis explores relationships between fitness, sedentary behavior, quality of life, and stress, using descriptive and multivariate statistical methods, including ANOVA and ANCOVA. Ethical guidelines, including confidentiality and voluntary participation, are strictly followed, ensuring compliance with the Declaration of Helsinki.
DOI: 10.15468/dl.6vsj7c
title: Occurrence Download

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer monspessulanum L.",
 "Country is Italy"
 ]
}

 The dataset includes 1167 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005749-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28246457.v1
title: Supplementary Material for: Prevalence and endoscopic features of colorectal non-polypoid lesions: a single-center retrospective study from a large cohort of FIT-positive screening patients in Northern Italy

description: Introduction. Colorectal non-polypoid lesions (NPLs) are flat, hard-to-detect and mainly right-sided lesions. We aimed to assess the prevalence and endoscopic features of NPLs lesions in a large cohort of screening patients in Northern Italy.
Methods. FIT-positive subjects between 50 and 69 years old who had undergone at least a screening colonoscopy from March 2005 to December 2017 at the Endoscopy Unit of Ferrara were included. We selected only non-diminutive (&gt;5 mm) and neoplastic polyps (i.e.: adenomas, serrated adenomas and carcinomas). Patients’ demographics and polyps’ endoscopic-histopathological data were collected. Categorical variables were compared using the Pearson’s χ2 test and Fisher’s Exact Test, while odd Ratios and confidence intervals were estimated with univariate analysis.
Results. 6,676 FIT-positive subjects underwent 7,616 colonoscopies during the study period. Total lesions were 3,231, of which 133 were NPLs and among these 123 were neoplastic. Prevalence of NPLs among total lesions was 4.1% while prevalence of neoplastic NPLs among total neoplastic lesions was 4.6%. Prevalence of NPLs and neoplastic NPLs among total colonoscopies was 1.7% and 1.6%, respectively. Neoplastic NPLs were more frequent between 60 and 64 years old (p=0.03) and associated with other colonic polyps in subjects older than 60 years (p=0.016). Cancerized NPLs were more likely in younger patients (50-59 years old, p=0.04).
Conclusions. Prevalence of NPLs is low among screening population, but NPLs are frequently associated with other colonic polyps in patients older than 60 years and carry a higher risk of cancer in patients younger than 60 years old.
DOI: 10.15468/dl.7nhg6f
title: Occurrence Download

description: A dataset containing 374539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ciconia nigra (Linnaeus, 1758)"
 ]
}

 The dataset includes 374539 records from 1055 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005744-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1c8-pd8-awe
title: Hieracium dragicola subsp. dragicola (Nägeli & Peter) Zahn

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/7v7-y06-4bm
title: Odontoglossum schlieperianum Rchb. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/m83-8wr-ktj
title: Chenopodium pumilio R. Br.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/21k-0h7-q4m
title: Cirsium furiens Griseb. & Schenk

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/4a2-4lh-pzj
title: Gastrocotyle hispida (Forssk.) Bunge

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/6gj-s8n-h97
title: Hieracium neodivergens Gottschl.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/gye-1j4-dwn
title: Amelanchier cretica var. chelmea Halácsy

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hpl-e72-19m
title: Moltkiopsis ciliata (Forssk.) I. M. Johnst.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/wpt-hy9-r97
title: Eremopyrum bonaepartis (Spreng.) Nevski

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/1q8-8mk-tq6
title: Hieracium pellitum subsp. pseudolanatum (Arv.-Touv.) Zahn

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/2db-jcw-cmm
title: Cephalanthera rubra (L.) Rich.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bql-r67-2d5
title: Heteropogon contortus (L.) P. Beauv. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/65k-psn-1c8
title: Pleurothallis naraniensis Rchb. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/vax-5vk-ze8
title: Hieracium echioides subsp. echioides Lumn.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xhn-mqd-170
title: Carthamus tinctorius L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/5te-s7h-mmb
title: Hieracium pilosella L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/h2l-vg1-mwk
title: Hieracium pavichii Heuff.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/kfq-xgb-hmd
title: Carex michelii Host

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/9mr-k1v-k0n
title: Hieracium anobrachion Arv.-Touv. & Gaut.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/cmz-gby-lcr
title: Chamaecytisus ratisbonensis (Schaeff.) Rothm.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xft-tpw-e3s
title: Cirsium greimleri Bureš

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.