cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r458bn
title: Occurrence Download

description: A dataset containing 220850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2022-10-26",
 "EventDate is less than or equal to 2022-11-25",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 220850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172879-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2myek6
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yoldiella frigida (Torell, 1859)",
 "Geometry Polygon ((-0.81872320224334705 81.71335986952006181, 15.11673521981012946 82.94093416616939862, 55.03837845422534514 82.93072605576169565, 68.89890739424060939 82.76538423844311865, 68.23492995998834942 76.91672887805012238, 66.65798355363932615 76.41899886398434205, 58.35826562548645313 75.2830057792397298, 53.62742640643935488 72.27604926014167575, 56.51370019053020144 70.7184319212233703, 61.20731985535795161 69.33373585697623298, 61.03848461561595684 68.59378701793275468, 59.48520040998950265 68.17044220597425408, 56.31109790283980487 68.39555084581948563, 54.55521140952295411 67.98114593841629016, 51.6512452859604565 68.17044220597425408, 48.65267784747624091 67.02924254972219842, 40.94483653932162071 65.40948750740305684, 40.32919426231246263 64.38453675707305024, 38.06363068291878449 63.85719999959601267, 35.45330742839996674 63.59523518951031207, 32.17809051471124349 66.47463978769231119, 31.61169961986282928 67.35413577830914278, 38.21138482940098413 66.43524838936303922, 40.30456857123208891 66.65113196644773552, 40.03368596934806334 67.62779915964847532, 34.17277149222090316 68.8963607305246768, 27.46509718561969038 69.94367113526196533, 23.20588516082897712 69.84830520059951198, 19.77835359058319753 69.06055172175248913, 14.73786598728060149 67.08356056086624619, 12.041205119513684 67.75195906073822982, 8.34509648852492347 77.01326974603688313, -0.81872320224334705 \n 81.71335986952006181))",
 {
 "and" : [
 "Year is greater than 1900",
 "Year is less than or equal to 1950"
 ]
 }
 ]
}

 The dataset includes 98 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166040-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10820020
title: Metrics of Collaboration Across Programming Paradigms and Languages: Comprehensive Dataset

description: Description :

This dataset provides a comprehensive analysis of collaboration metrics across various programming paradigms and languages, aimed at researchers and practitioners interested in the interoperability and integration challenges within multi-language development environments. The data encapsulates both raw and cleaned metrics detailing potential collaboration avenues and interoperability between different programming paradigms, as well as between distinct programming languages, with and without redundancy.

Contents:

CollaborationMetric_Paradigms_Raw.csv - Contains the raw metrics of collaboration potential between programming paradigms based on a novel collaboration metric developed in our research. This dataset encompasses various paradigms' compatibility and integration potential, offering a wide-angle view on the landscape of programming paradigm interoperability.CollaborationMetric_Paradigms_Cleaned.csv - A cleaned and refined version of the raw paradigm collaboration metrics, with redundant data removed for clarity and ease of analysis. This file is optimized for researchers seeking to delve directly into the significant findings of paradigm compatibility without the need for further data cleaning.CollaborationMetric_Languages_Raw.csv - Offers raw collaboration metrics between different programming languages, providing insights into how languages may synergize or face integration challenges within multi-language projects. The data reflects an extensive analysis of language interoperability, grounded in the theoretical framework outlined in our associated research paper.CollaborationMetric_Languages_Cleaned.csv - A streamlined version of the language collaboration metrics, free from redundancies, and focused on the core insights into language interoperability. This dataset is intended for immediate application in research and practical scenarios, facilitating quick identification of potential language synergies or conflicts.

Methodology:

The datasets were generated through a rigorous quantitative analysis, employing a collaboration metric that considers structural characteristics, kinship relationships, and fundamental computational and behavioural properties of programming paradigms and languages. Detailed methodology and theoretical underpinnings are described in our associated research paper, "[The Challenges of Using Prolog in a Multi-paradigm Environment: a Quantitative Approach]," intended for submission to the International Conference on Logic Programming (ICLP).
DOI: 10.5281/zenodo.10820019
title: Metrics of Collaboration Across Programming Paradigms and Languages: Comprehensive Dataset

description: [New version] : 

Following a recent revision of our taxonomy of programming paradigms, we have observed slight changes in the data of our dataset. Consequently, to ensure accuracy and relevance, the dataset has been updated to reflect these changes. We encourage you to download the latest version to benefit from the updated data.

Description :

This dataset provides a comprehensive analysis of collaboration metrics across various programming paradigms and languages, aimed at researchers and practitioners interested in the interoperability and integration challenges within multi-language development environments. The data encapsulates both raw and cleaned metrics detailing potential collaboration avenues and interoperability between different programming paradigms, as well as between distinct programming languages, with and without redundancy.

Contents:

CollaborationMetric_Paradigms_Raw.csv - Contains the raw metrics of collaboration potential between programming paradigms based on a novel collaboration metric developed in our research. This dataset encompasses various paradigms' compatibility and integration potential, offering a wide-angle view on the landscape of programming paradigm interoperability.CollaborationMetric_Paradigms_Cleaned.csv - A cleaned and refined version of the raw paradigm collaboration metrics, with redundant data removed for clarity and ease of analysis. This file is optimized for researchers seeking to delve directly into the significant findings of paradigm compatibility without the need for further data cleaning.CollaborationMetric_Languages_Raw.csv - Offers raw collaboration metrics between different programming languages, providing insights into how languages may synergize or face integration challenges within multi-language projects. The data reflects an extensive analysis of language interoperability, grounded in the theoretical framework outlined in our associated research paper.CollaborationMetric_Languages_Cleaned.csv - A streamlined version of the language collaboration metrics, free from redundancies, and focused on the core insights into language interoperability. This dataset is intended for immediate application in research and practical scenarios, facilitating quick identification of potential language synergies or conflicts.

Methodology:

The datasets were generated through a rigorous quantitative analysis, employing a collaboration metric that considers structural characteristics, kinship relationships, and fundamental computational and behavioural properties of programming paradigms and languages. Detailed methodology and theoretical underpinnings are described in our associated research paper, "[Towards a quantitative evaluation of paradigmatic collaboration: insights from Prolog and beyond]," intended for submission to the International Conference on Logic Programming (ICLP).
DOI: 10.5281/zenodo.11077187
title: Metrics of Collaboration Across Programming Paradigms and Languages: Comprehensive Dataset

description: [New version] : 

Following a recent revision of our taxonomy of programming paradigms, we have observed slight changes in the data of our dataset. Consequently, to ensure accuracy and relevance, the dataset has been updated to reflect these changes. We encourage you to download the latest version to benefit from the updated data.

Description :

This dataset provides a comprehensive analysis of collaboration metrics across various programming paradigms and languages, aimed at researchers and practitioners interested in the interoperability and integration challenges within multi-language development environments. The data encapsulates both raw and cleaned metrics detailing potential collaboration avenues and interoperability between different programming paradigms, as well as between distinct programming languages, with and without redundancy.

Contents:

CollaborationMetric_Paradigms_Raw.csv - Contains the raw metrics of collaboration potential between programming paradigms based on a novel collaboration metric developed in our research. This dataset encompasses various paradigms' compatibility and integration potential, offering a wide-angle view on the landscape of programming paradigm interoperability.CollaborationMetric_Paradigms_Cleaned.csv - A cleaned and refined version of the raw paradigm collaboration metrics, with redundant data removed for clarity and ease of analysis. This file is optimized for researchers seeking to delve directly into the significant findings of paradigm compatibility without the need for further data cleaning.CollaborationMetric_Languages_Raw.csv - Offers raw collaboration metrics between different programming languages, providing insights into how languages may synergize or face integration challenges within multi-language projects. The data reflects an extensive analysis of language interoperability, grounded in the theoretical framework outlined in our associated research paper.CollaborationMetric_Languages_Cleaned.csv - A streamlined version of the language collaboration metrics, free from redundancies, and focused on the core insights into language interoperability. This dataset is intended for immediate application in research and practical scenarios, facilitating quick identification of potential language synergies or conflicts.

Methodology:

The datasets were generated through a rigorous quantitative analysis, employing a collaboration metric that considers structural characteristics, kinship relationships, and fundamental computational and behavioural properties of programming paradigms and languages. Detailed methodology and theoretical underpinnings are described in our associated research paper, "[Towards a quantitative evaluation of paradigmatic collaboration: insights from Prolog and beyond]," intended for submission to the International Conference on Logic Programming (ICLP).
DOI: 10.15468/dl.4bkjsf
title: Occurrence Download

description: A dataset containing 8738253 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Brassicaceae)"
 ]
}

 The dataset includes 8738253 records from 4234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154363-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dpthx
title: Occurrence Download

description: A dataset containing 3516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "Country is one of (Peru, Brazil, Ecuador, Colombia, French Guiana, Costa Rica, Guyana, Suriname, Bolivia (Plurinational State of), Grenada, Guatemala, Panama, Venezuela (Bolivarian Republic of), Trinidad and Tobago, Saint Vincent and the Grenadines, Nicaragua, El Salvador, Honduras, Paraguay, Argentina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Corallus annulatus, Corallus hortulana, Corallus batesii, Corallus ruschenbergerii)"
 ]
}

 The dataset includes 3516 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008710-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2za9ys
title: Occurrence Download

description: A dataset containing 812168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum L."
 ]
}

 The dataset includes 812168 records from 3544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004187-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297650.1
title: StrainInfo SI-ID 297650.1

description: StrainInfo dataset 297650 about a strain of Deinococcus deserti. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297519.1
title: StrainInfo SI-ID 297519.1

description: StrainInfo dataset 297519 about a strain of Rhodococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297520.1
title: StrainInfo SI-ID 297520.1

description: StrainInfo dataset 297520 about a strain of Streptacidiphilus griseisporus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.rddqmn
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "Year 1979-2019",
 "TaxonKey is Tabebuia aurea (Silva Manso) Benth. & Hook.fil. ex S.Moore"
 ]
}

 The dataset includes 130 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006188-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297521.1
title: StrainInfo SI-ID 297521.1

description: StrainInfo dataset 297521 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.x7ztz1
title: Occurrence Download

description: A dataset containing 3489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fistularia commersonii Rüppell, 1838"
 ]
}

 The dataset includes 3489 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016920-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/7hfty0
title: Corredor neotropical de migración de aves en Colombia Temporada I-II/2016

description: Este set de datos es el resultado de los censos de ocupación realizados a través el norte de Colombia como parte del proyecto Corredor Neotropical de Migración (Neotropical Flyways Project). Involucran dos temporadas de muestreo durante las migraciones de primavera y otoño en el 2016. Los censos fueron llevados a cabo en 16 sitios, en los cuales se establecieron entre 8 y 16 transectos, los cuales fueron visitados 4 veces cada 10 días durante cada migración.
DOI: 10.60712/si-id297522.1
title: StrainInfo SI-ID 297522.1

description: StrainInfo dataset 297522 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297571.1
title: StrainInfo SI-ID 297571.1

description: StrainInfo dataset 297571 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297572.1
title: StrainInfo SI-ID 297572.1

description: StrainInfo dataset 297572 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297573.1
title: StrainInfo SI-ID 297573.1

description: StrainInfo dataset 297573 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297574.1
title: StrainInfo SI-ID 297574.1

description: StrainInfo dataset 297574 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.naj3e4
title: Occurrence Download

description: A dataset containing 871 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus aromaticus (Ridl.) Mattf. & Kük."
 ]
}

 The dataset includes 871 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339556-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297651.1
title: StrainInfo SI-ID 297651.1

description: StrainInfo dataset 297651 about a strain of Geoalkalibacter ferrihydriticus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297652.1
title: StrainInfo SI-ID 297652.1

description: StrainInfo dataset 297652 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297653.1
title: StrainInfo SI-ID 297653.1

description: StrainInfo dataset 297653 about a strain of Paucilactobacillus oligofermentans. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297654.1
title: StrainInfo SI-ID 297654.1

description: StrainInfo dataset 297654 about a strain of Paucilactobacillus oligofermentans. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.eeb65r
title: Occurrence Download

description: A dataset containing 430071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 430071 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046905-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297523.1
title: StrainInfo SI-ID 297523.1

description: StrainInfo dataset 297523 about a strain of Archangium disciforme. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.ry0anc
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duckea squarrosa (Willd. ex Link) Maguire"
 ]
}

 The dataset includes 63 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015410-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.