cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7pv6jkz
title: U-Pb Isotopic Data and Ages of Detrital Zircon Grains and Graptolite Fossil Data from Selected Rocks from the Western Alaska Range, Livengood area, and Seward Peninsula, Alaska

description: This data set contains two data sets. One data set is of U-Pb isotopic data and associated ages of detrital zircon grains from 16 sedimentary and metasedimentary rocks from the western Alaska Range, Livengood area and Seward Peninsula, Alaska. Two samples were collected from the York Mountains area of the Seward Peninsula of western Alaska. Three samples were collected from the Livengood quadrangle of central Alaska. Eleven samples were collected from the western Alaska Range of south-central Alaska. Detrital zircon grains from each of the sixteen samples were separated and analyzed by Apatite to Zircon, Inc. (A2Z) and Geosep Services (GSS) laboratories between 2011 and 2014, using laser-ablation-inductively-coupled-plasma-mass spectrometry (LA-ICP-MS) techniques.
The second data set contains fossil identifications and age assignments from a select sedimentary rock from the western Alaska Range of south-central Alaska. Fossils were identified by visual inspection.
All samples were collected as part of geological mapping research conducted between 1984 and 2014 and funded by the Mineral Resources Program of the U.S. Geological Survey.
DOI: 10.15468/dl.7u8s8h
title: Occurrence Download

description: A dataset containing 4421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((127.5 26,128.5 26,128.5 27,127.5 27,127.5 26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is June",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2025"
 ]
}

 The dataset includes 4421 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000534-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stx7rd
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Niedersachsen",
 "TaxonKey is Cuphophyllus pratensis (Pers.) Bon"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000543-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/tie3q6
title: Multicriteria-Based Vaccine Distribution Center Planning in Nigeria Using ELECTRE III

description: File: Criteria_data.xlsx – Contains state-level and LGA-level data (e.g., density, health indicators, infrastructure) State State-level data is provided with units used in final input, LGA-level data is provided as normalized input with values between 0 and 1. - ready to paste into ELECTRE. Additionally, the file contains a list of states and LGAs where data was missing and provides averaged numbers in their stead. The last part contains raw data sources.
 File: Final_processed_data_for_electre.xlsx – This file provides normalized figures on both state and LGA-level, with calculated weights and thresholds needed for ELECTRE. The last part contains sources with the methodology of preparing weights, thresholds, and how the data was normalized.
 File: Final _vaccine_distribution_centers_locations.xlsx – This file contains aggregated scores from ELECTRE of all Nigerian LGAs and 2 lists of LGAs selected as locations for vaccine distribution centers - one for each method.

Column headings for tabular data: 
 State – Full name of the Nigerian state 
 LGA – Full name of the Local Government Area 
 Average – Final ELECTRE average score 
 q, p, v – Thresholds for indifference, preference, and veto 
 Weight – Assigned weight per criterion (ROC method)
DOI: 10.15468/dl.3q36x7
title: Occurrence Download

description: A dataset containing 281587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pulsatilla Mill."
 ]
}

 The dataset includes 281587 records from 989 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000542-250525065834625/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.29143613
title: <b>Evolution of cetacean-specific conserved non-coding elements suggests their role in the limb changes during secondary aquatic adaptation</b>

description: This dataset includes perl scripts and raw epigenomic data used in the study “Evolution of cetacean-specific conserved non-coding elements suggests their role in the limb changes during secondary aquatic adaptation.”Contents: Comparative genomics scripts used to identify cetacean-specific sequence divergence in conserved non-coding elements (CNEs) across multiple mammalian genomes. Raw CUT&Tag epigenetic data from early limb bud tissues of model organisms (e.g., mouse), used to explore the potential molecular mechanisms underlying limb morphological changes.Methodology: Cetacean and terrestrial mammal genomes were aligned using LASTZ and processed with custom pipelines to identify cetacean-specific conserved elements. Epigenomic profiling was performed following standard protocols, and libraries were sequenced on the Illumina NovaSeq platform.Compliance: All animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Nanjing Normal University, and data collection adhered to ethical guidelines.
DOI: 10.6084/m9.figshare.29143613.v1
title: <b>Evolution of cetacean-specific conserved non-coding elements suggests their role in the limb changes during secondary aquatic adaptation</b>

description: This dataset includes perl scripts and raw epigenomic data used in the study “Evolution of cetacean-specific conserved non-coding elements suggests their role in the limb changes during secondary aquatic adaptation.”Contents: Comparative genomics scripts used to identify cetacean-specific sequence divergence in conserved non-coding elements (CNEs) across multiple mammalian genomes. Raw CUT&Tag epigenetic data from early limb bud tissues of model organisms (e.g., mouse), used to explore the potential molecular mechanisms underlying limb morphological changes.Methodology: Cetacean and terrestrial mammal genomes were aligned using LASTZ and processed with custom pipelines to identify cetacean-specific conserved elements. Epigenomic profiling was performed following standard protocols, and libraries were sequenced on the Illumina NovaSeq platform.Compliance: All animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Nanjing Normal University, and data collection adhered to ethical guidelines.
DOI: 10.34740/kaggle/dsv/11948397
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.28729127
title: MLOmics: Cancer Multi-Omics Database for Machine Learning

description: Framing the investigation of diverse cancers as a machine learning problem has recently shown significant potential in multi-omics analysis and cancer research. Empowering these successful machine learning models are the high-quality training datasets with sufficient data volume and adequate preprocessing. However, while there exist several public data portals including The Cancer Genome Atlas (TCGA) multi-omics initiative or open-bases such as the LinkedOmics, these databases are not off-the-shelf for existing machine learning models. we propose MLOmics, an open cancer multi-omics database aiming at serving better the development and evaluation of bioinformatics and machine learning models. MLOmics contains 8,314 patient samples covering all 32 cancer types with four omics types, stratified features, and extensive baselines. Complementary support for downstream analysis and bio-knowledge linking are also included to support interdisciplinary analysis.
DOI: 10.5281/zenodo.15512425
title: R code and dataset (Effects of Vegetation Structure on Secondary Wind Dispersal Distance of Diaspores)
DOI: 10.5281/zenodo.15512426
title: R code and dataset (Effects of Vegetation Structure on Secondary Wind Dispersal Distance of Diaspores)
DOI: 10.15468/dl.3y22uw
title: Occurrence Download

description: A dataset containing 55869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neoascochyta exitialis (Morini) Qian Chen & L.Cai, Fusarium temperatum Scaufl. & Munaut, Pythium adhaerens Sparrow, Leptosphaeria zeae G.L.Stout, Fusarium tricinctum (Corda) Sacc., Macrophoma zeae Tehon & E.Y.Daniels, Pythium graminicola Subraman., Phaeocytostroma ambiguum (Mont.) Petr., Phytopythium helicoides (Drechsler) Abad, de Cock, Bala, Robideau, A.M.Lodhi & Lévesque, Pythium tardicrescens Vanterp., Gibberella fujikuroi (Sawada) Wollenw., 1931, Sciurus deppei Peters, 1863, Tremarctos ornatus (F.G.Cuvier, 1825), Philander opossum (Linnaeus, 1758), Phyllonorycter ulmi (Kumata, 1963), Inurois fletcheri Inoue, 1954, Caloptilia ulmi Kumata, 1982, Spatalia dives Oberthür, 1884, Acleris perfundana Kuznetzov, 1962, Agrilus tsutsumiuchii Ohmomo, 2006, Callambulyx tatarinovii formosana Clark, 1935, Entedon nomizonis Kamijo, 1988, Acrocercops irradians Meyrick, 1931, Bubalus quarlesi (Ouwens, 1910), Bubalus depressicornis (C.H.Smith, 1827), Spalangia gemina Boucek, 1963, Nesoniphas insignatissima Kirkaldy, 1907, Bibasis harisa (Moore, 1865), Fusarium veterinarium L.Lombard & Crous, Anthophora hilaris Smith, 1879, Herpetogramma licarsisalis (Walker, 1859), Cryptocephalus castaneus J.L.LeConte, 1880, Papilio palamedes leontis Rothschild & Jordan, 1906, Mysoria barcastus (Sepp, 1855), Bombus wilmattae Cockerell, 1912, Mydas clavatus (Drury, 1773), Copestylum satur (Osten Sacken, 1877), Hesperotettix viridis (Thomas, 1872), Apamea apamiformis Guenée, 1852, Toxomerus politus (Say, 1823), Claviceps zizaniae (Fyles) Pantidou ex Redhead, M.E.Corlett & M.N.L.Lefebvre, Zizania latifolia (Griseb.) Hance ex F.Muell., Chilo zizaniae Wang & Sung, 1981, Zintha hintza (Trimen, 1864), Tarucus waterstradti Druce, 1895, Tarucus ungemachi Stempffer, 1944, Tuxentius calice (Hopffer, 1855), Tarucus rosacea Austaut, 1885, Tarucus theophrastus (Fabricius, 1793), Discolampa ethion (Westwood, 1851))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55869 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000546-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yccb2d
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galinsoga parviflora",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013670-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbdcw7
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arrhenatherum elatius flavescens, Arrhenatherum elatius nodosum, Arrhenatherum elatius subhirsutum, Arrhenatherum elatius subhirsutum, Arrhenatherum elatius submuticum, Arrhenatherum elatius subtriflorum, Arrhenatherum erianthum riofrioi, Arrhenatherum rupestre, Avena avenaceum, Avena elata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013672-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11087486
title: Refactoring Code Smells in Open Source Projects:  A Hands-on Approach to Teaching Software Maintenance

description: Code smells are suboptimal code structures that can undermine software quality and maintainability. On the one hand, software engineers commonly apply refactoring techniques to address these deficiencies and improve internal quality attributes. On the other hand, when performed manually and without discipline, refactoring can lead to code degradation. Despite its importance, refactoring and code smells are rarely explored in depth in undergraduate computing courses, which can be reflected in industry practices. To address this gap, this paper presents a hands-on approach to teaching code smell refactoring through contributions to Open Source Software (OSS) projects, an environment where developers with diverse skill levels collaborate, and maintaining code quality is particularly challenging. Code smells accumulate over time in such scenarios, hindering software evolution and collaboration. Our study in two undergraduate Software Quality and Software Maintenance courses expands on previous findings by incorporating an in-depth analysis of students’ learning experiences. The results indicate that: (i) students rec- ognized improvements in code quality after refactoring; (ii) they identified strong connections between refactoring, testing, and debugging; (iii) their confidence decreased when refactoring required changes across multiple files; (iv) code complexity posed a significant challenge to refactoring; (v) students’ choices of refactoring techniques were influenced by project structure and personal preferences, often combining multiple techniques to address a single smell; (vi) in some cases, refactoring introduced new code smells; (vii) the longest refactoring efforts were also the most likely to reintroduce code smells; (viii) contributing to OSS projects improved students’ programming skills and fostered a sense of professional growth; (ix) students faced challenges in understanding OSS contribution processes, particularly regarding issue resolution, adherence to contribution guidelines, and responding to maintainer feedback; (x) automated checks and review workflows varied across projects, affecting students’ ability to submit successful contributions; and (xi) despite these challenges, engagement with OSS enabled students to gain practical experience in collaborative software development. Our findings offer valuable insights for software engineering educators seeking to integrate refactoring practices into coursework while leveraging OSS contributions as an educational tool.
DOI: 10.5281/zenodo.15883608
title: Refactoring Code Smells in Open Source Projects:  A Hands-on Approach to Teaching Software Maintenance

description: Code smells are suboptimal code structures that can undermine software quality and maintainability. On the one hand, software engineers commonly apply refactoring techniques to address these deficiencies and improve internal quality attributes. On the other hand, when performed manually and without discipline, refactoring can lead to code degradation. Despite its importance, refactoring and code smells are rarely explored in depth in undergraduate computing courses, which can be reflected in industry practices. To address this gap, this paper presents a hands-on approach to teaching code smell refactoring through contributions to Open Source Software (OSS) projects, an environment where developers with diverse skill levels collaborate, and maintaining code quality is particularly challenging. Code smells accumulate over time in such scenarios, hindering software evolution and collaboration. Our study in two undergraduate Software Quality and Software Maintenance courses expands on previous findings by incorporating an in-depth analysis of students’ learning experiences. The results indicate that: (i) students rec- ognized improvements in code quality after refactoring; (ii) they identified strong connections between refactoring, testing, and debugging; (iii) their confidence decreased when refactoring required changes across multiple files; (iv) code complexity posed a significant challenge to refactoring; (v) students’ choices of refactoring techniques were influenced by project structure and personal preferences, often combining multiple techniques to address a single smell; (vi) in some cases, refactoring introduced new code smells; (vii) the longest refactoring efforts were also the most likely to reintroduce code smells; (viii) contributing to OSS projects improved students’ programming skills and fostered a sense of professional growth; (ix) students faced challenges in understanding OSS contribution processes, particularly regarding issue resolution, adherence to contribution guidelines, and responding to maintainer feedback; (x) automated checks and review workflows varied across projects, affecting students’ ability to submit successful contributions; and (xi) despite these challenges, engagement with OSS enabled students to gain practical experience in collaborative software development. Our findings offer valuable insights for software engineering educators seeking to integrate refactoring practices into coursework while leveraging OSS contributions as an educational tool.
DOI: 10.15468/dl.4qmbj5
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strigosella strigosa"
 ]
}

 The dataset includes 117 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013673-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw98g8
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Batrachoseps pacificus)"
 ]
}

 The dataset includes 2490 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013674-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upm6tr
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon dactylon",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013671-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyus6d
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus oligodon"
 ]
}

 The dataset includes 328 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013675-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gym47r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEH4632"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013676-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9gw7d
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes minuta",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013677-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pa9vkb
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013678-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3yweg
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guiraoa arvensis"
 ]
}

 The dataset includes 510 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013680-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6wrfx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pennisetum sinense)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013679-250711103210423/datasets/export for details.
DOI: 10.15468/dl.3w3s5k
title: Occurrence Download

description: A dataset containing 3729 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petrocallis pyrenaica"
 ]
}

 The dataset includes 3729 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013682-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amrfy6
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Avena elatior, Avena elatior bulbosa, Avena elatior sardoa, Avena elatior subhirsuta, Avena elatior brachyclada, Avena elatior elatior, Avena elatior pauciflora, Avena elatior pauciflora, Avena elatior servitii, Avenastrum elatius)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013681-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xx58d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Filipendula ulmaria"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013685-250711103210423/datasets/export for details.