cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0188524.10fu
title: SH0188524.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188525.10fu
title: SH0188525.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188526.10fu
title: SH0188526.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.5v76tj
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fumaria munbyi Boiss. & Reut.",
 "Year 1950-2025"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019408-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/ukhbsu/azshyt
title: 56775.pdf

description: :unav
DOI: 10.48668/ukhbsu/mpoaty
title: 29171.pdf

description: :unav
DOI: 10.48668/ukhbsu/9lacjn
title: 52655.pdf

description: :unav
DOI: 10.48668/ukhbsu/baspsj
title: 51189.pdf

description: :unav
DOI: 10.48668/ukhbsu/bzgacm
title: 53303.pdf

description: :unav
DOI: 10.21227/aa45-hd41
title: "dataset for FluxFormer"

description: "This is the cropped Vaihingen dataset"
DOI: 10.48668/ukhbsu/rypcck
title: 57145.pdf

description: :unav
DOI: 10.48668/ukhbsu/gqcgjp
title: 29977.pdf

description: :unav
DOI: 10.48668/ukhbsu/lsqp4a
title: 57051.pdf

description: :unav
DOI: 10.48668/ukhbsu/mrzapw
title: 51630.pdf

description: :unav
DOI: 10.48668/ukhbsu/tba2t6
title: 51424.pdf

description: :unav
DOI: 10.48668/ukhbsu/fmnebw
title: 29636.pdf

description: :unav
DOI: 10.48668/ukhbsu/b8yhvt
title: 52036.pdf

description: :unav
DOI: 10.15468/dl.t9uvmx
title: Occurrence Download

description: A dataset containing 36144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gambusia holbrooki)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 36144 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028565-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/ukhbsu/oi0alj
title: 51744.pdf

description: :unav
DOI: 10.48668/ukhbsu/7gai1z
title: 54298.pdf

description: :unav
DOI: 10.48668/ukhbsu/kflfiv
title: 50747.pdf

description: :unav
DOI: 10.48668/ukhbsu/h22d4c
title: 55504.pdf

description: :unav
DOI: 10.48668/ukhbsu/fcnjrs
title: 29855.pdf

description: :unav
DOI: 10.48668/ukhbsu/ofgama
title: 55528.pdf

description: :unav
DOI: 10.15468/dl.ew6rmv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago laciniata",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028569-250920141307145/datasets/export for details.
DOI: 10.48668/ukhbsu/nizakv
title: 50883.pdf

description: :unav
DOI: 10.48668/ukhbsu/89foer
title: 50402.pdf

description: :unav
DOI: 10.48668/ukhbsu/zmxfyg
title: 56285.pdf

description: :unav
DOI: 10.48668/ukhbsu/zzrpwl
title: 55510.pdf

description: :unav
DOI: 10.48668/ukhbsu/jeswzx
title: 52861.pdf

description: :unav
DOI: 10.48668/ukhbsu/hh5vvt
title: 53588.pdf

description: :unav
DOI: 10.48668/ukhbsu/j7yxnx
title: 29853.pdf

description: :unav
DOI: 10.48668/ukhbsu/4mae1b
title: 53764.pdf

description: :unav
DOI: 10.48668/ukhbsu/0uykib
title: 55174.pdf

description: :unav
DOI: 10.48668/ukhbsu/d2tt2m
title: 52304.pdf

description: :unav
DOI: 10.48668/ukhbsu/kktead
title: 29922.pdf

description: :unav
DOI: 10.48668/ukhbsu/ps1cev
title: 29634.pdf

description: :unav
DOI: 10.48668/ukhbsu/j0hafl
title: 50147.pdf

description: :unav
DOI: 10.48668/ukhbsu/kyftc0
title: 29277.pdf

description: :unav
DOI: 10.48668/ukhbsu/lnmx8q
title: 51853.pdf

description: :unav
DOI: 10.15468/dl.daa565
title: Occurrence Download

description: A dataset containing 672647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Erica",
 "Year 1000-2025"
 ]
}

 The dataset includes 672647 records from 1395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028489-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/ukhbsu/ghfgsq
title: 50496.pdf

description: :unav
DOI: 10.48668/ukhbsu/qzd8du
title: 29950.pdf

description: :unav
DOI: 10.48668/ukhbsu/qah37y
title: 29461.pdf

description: :unav
DOI: 10.48668/ukhbsu/8mke4g
title: 56712.pdf

description: :unav
DOI: 10.48668/ukhbsu/s5vkit
title: 29229.pdf

description: :unav
DOI: 10.48668/ukhbsu/3hwjoc
title: 29818.pdf

description: :unav
DOI: 10.48668/ukhbsu/snhevg
title: 29393.pdf

description: :unav
DOI: 10.48668/ukhbsu/iohzpk
title: 52967.pdf

description: :unav
DOI: 10.48668/ukhbsu/g8dk3a
title: 55008.pdf

description: :unav
DOI: 10.48668/ukhbsu/vtdp0b
title: 54193.pdf

description: :unav
DOI: 10.48668/ukhbsu/zjvxut
title: 53315.pdf

description: :unav
DOI: 10.48668/ukhbsu/pnd1ie
title: 57125.pdf

description: :unav
DOI: 10.48668/ukhbsu/mio4ye
title: 50662.pdf

description: :unav
DOI: 10.15468/dl.f9qu98
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago laciniata",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028571-250920141307145/datasets/export for details.
DOI: 10.48668/ukhbsu/c0byb0
title: 55518.pdf

description: :unav
DOI: 10.48668/ukhbsu/lxyqpm
title: 54676.pdf

description: :unav
DOI: 10.48668/ukhbsu/r9gcua
title: 50236.pdf

description: :unav
DOI: 10.48668/ukhbsu/nwepgt
title: 51816.pdf

description: :unav
DOI: 10.48668/ukhbsu/aki89a
title: 29367.pdf

description: :unav
DOI: 10.48668/ukhbsu/rzuaah
title: 50587.pdf

description: :unav
DOI: 10.48668/ukhbsu/fxepg8
title: 51975.pdf

description: :unav
DOI: 10.48668/ukhbsu/dm84an
title: 57234.pdf

description: :unav
DOI: 10.6084/m9.figshare.26679797
title: Additional file 1 of Spectrum of variants associated with inherited retinal dystrophies in Northeast Mexico

description: Additional file 1: Supplementary Table 1. Demographic and clinical characteristics of study participants.
DOI: 10.6084/m9.figshare.26679797.v1
title: Additional file 1 of Spectrum of variants associated with inherited retinal dystrophies in Northeast Mexico

description: Additional file 1: Supplementary Table 1. Demographic and clinical characteristics of study participants.
DOI: 10.15468/dl.2aj23d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.544674 -32.661187, 148.544674 -32.665678, 148.549166 -32.665678, 148.549166 -32.661187, 148.544674 -32.661187))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067324-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pgp3tu
title: Occurrence Download

description: A dataset listing the 3454 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.4_1",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset's 3454 records were derived from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067316-240626123714530/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.26679863
title: Additional file 3 of TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations

description: Additional file 3: Supplementary Table 1. SRA accession numbers.
DOI: 10.6084/m9.figshare.26679863.v1
title: Additional file 3 of TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations

description: Additional file 3: Supplementary Table 1. SRA accession numbers.
DOI: 10.6084/m9.figshare.26571208
title: Additional file 1 of Mir-421 and mir-550a-1 are potential prognostic markers in esophageal adenocarcinoma

description: Additional file 1. Esophageal adenocarcinoma prognostic markers-1.
DOI: 10.6084/m9.figshare.26608063.v1
title: Additional file 1 of Oligofructose improves small intestinal lipid-sensing mechanisms via alterations to the small intestinal microbiota

description: Additional file 1.
DOI: 10.6084/m9.figshare.26608063
title: Additional file 1 of Oligofructose improves small intestinal lipid-sensing mechanisms via alterations to the small intestinal microbiota

description: Additional file 1.
DOI: 10.15468/dl.byshqq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.942181 -32.661187, 148.942181 -32.665678, 148.944426 -32.665678, 148.944426 -32.661187, 148.942181 -32.661187))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067325-240626123714530/datasets/export for details.
DOI: 10.15468/dl.cruepd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Material citation, Material sample)",
 "Country is Ecuador",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, University of Michigan Museum of Zoology, Division of Birds, Museum of Comparative Zoology, Harvard University, Xeno-canto - Bird sounds from around the world, WFVZ Bird Collections, Academy of Natural Sciences of Philadelphia Ornithology Collection, International Barcode of Life project (iBOL), Macaulay Library Audio and Video Collection, Observation.org, Nature data from around the World)",
 "GadmGid is ECU.7.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067326-240626123714530/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.26679905
title: Additional file 3 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 3. List of included articles. Description of included articles, with, e.g., information about article design, data collection and intervention’s description.
DOI: 10.6084/m9.figshare.26679905.v1
title: Additional file 3 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 3. List of included articles. Description of included articles, with, e.g., information about article design, data collection and intervention’s description.
DOI: 10.6084/m9.figshare.26679908
title: Additional file 4 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 4. Consolidated Framework for Implementation Research Categories with specifications. Consolidated Framework for Implementation Research Categories with specifications made for this review.
DOI: 10.6084/m9.figshare.26679908.v1
title: Additional file 4 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 4. Consolidated Framework for Implementation Research Categories with specifications. Consolidated Framework for Implementation Research Categories with specifications made for this review.
DOI: 10.6084/m9.figshare.26679911
title: Additional file 5 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 5. Mixed Methods Appraisal Tool ratings. Methodological quality assessment ratings for each article using the Mixed Methods Appraisal Tool items.
DOI: 10.6084/m9.figshare.26679911.v1
title: Additional file 5 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 5. Mixed Methods Appraisal Tool ratings. Methodological quality assessment ratings for each article using the Mixed Methods Appraisal Tool items.
DOI: 10.6084/m9.figshare.26679914
title: Additional file 6 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 6. Extracted and categorized influencing factors. Extracted and categorized influencing factors for all domains and categories of the Consolidated Framework for Implementation Research Categories.
DOI: 10.6084/m9.figshare.26679914.v1
title: Additional file 6 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 6. Extracted and categorized influencing factors. Extracted and categorized influencing factors for all domains and categories of the Consolidated Framework for Implementation Research Categories.
DOI: 10.6084/m9.figshare.26679917
title: Additional file 7 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 7. Most commonly reported (sub)categories by group of simple and complex interventions. The most commonly reported (sub)categories in the group of simple and complex interventions for each CFIR domain.
DOI: 10.6084/m9.figshare.26679917.v1
title: Additional file 7 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 7. Most commonly reported (sub)categories by group of simple and complex interventions. The most commonly reported (sub)categories in the group of simple and complex interventions for each CFIR domain.
DOI: 10.6084/m9.figshare.26679920
title: Additional file 8 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 8. Number of reported barriers/facilitators and (sub)categories for each CFIR domain. All (sub)categories for each of the five CFIR domains, and all the number of articles reporting the relevant barriers and facilitators.
DOI: 10.6084/m9.figshare.26679920.v1
title: Additional file 8 of Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

description: Additional file 8. Number of reported barriers/facilitators and (sub)categories for each CFIR domain. All (sub)categories for each of the five CFIR domains, and all the number of articles reporting the relevant barriers and facilitators.
DOI: 10.6084/m9.figshare.26571124.v1
title: Additional file 1 of Comparison of antimicrobial resistant Escherichia coli isolated from Irish commercial pig farms with and without zinc oxide and antimicrobial usage

description: Additional file 1. Summary of analysed AmpC / ESBL E. coli isolates obtained in this study. Sample abbreviations: FW0 = faecal sample at day of weaning; FW1 = faecal sample 1 week after weaning; FW2 = faecal sample 2 week after weaning; SWD = environmental swab sample of cleaned drinkers and feeders before interaction with piglets; SWW = environmental swab sample of cleaned walls and floors before interaction with piglets.
DOI: 10.15468/dl.mx6sv8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.459334 -32.652204, 148.459334 -32.667924, 148.472809 -32.667924, 148.472809 -32.665678, 148.46158 -32.665678, 148.46158 -32.652204, 148.459334 -32.652204))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067327-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13324195
title: Implementation and Results of a "Generating Small Instances with Interesting Features for the Traveling Salesperson Problem"

description: 1. Introduction

In this archive, we provide the implementation and experimental of a generator for small Traveling Salesperson Problem instances as well as the results of a Randomized Local Search (RLS) with and without FFA applied to the generated instances.

These are the data used in the paper below, which contains the exact specification of all algorithms, objective functions, and the encoding we applied.

Tianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner, and Thomas Weise. Generating Small Instances with Interesting Features for the Traveling Salesperson Problem. In 16th International Conference on Evolutionary Computation Theory and Applications (ECTA'24), part of the 16th International Joint Conference on Computational Intelligence (IJCCI'24). November 20-24, 2024. Porto, Portugal. Setúbal, Portugal: SciTePress.

To run the experiments, you need moptipyapps and moptipy, which contain the actual algorithm implementations. Both packages are available on GitHub and on PyPI. However, we include several versions of them in the folder source/packages, just in case.

2. Directory Structure

This archive contains the following directories:



source contains the Python source codes needed to run the experiment.

source/packages contains the source codes of the Python packages with the actual algorithm implementations.

source/experiment_execution_scripts contains the scripts to run the experiments and to generate the instances.

results is the directory with the results, i.e., with the log files generated by the experiment.

evaluator is the folder containing Python scripts that were used to evaluate these results.

evaluation was generated using the evaluation scripts and contains tables and figures and a result summary in CSV format.


3. License

The files in this repository are under the Creative Commons Attribution 4.0 International, with the exception of the files of other benchmark datasets included, which are under copyright of their respective owner (we believe that they are in the public domain, as they are provided by many sources, included in many software packages under various open source licenses, and on many websites). The license is contained as file LICENSE.txt in this archive.

4. Contact

If you have any questions or suggestions, please contact

Mr. Tianyu LIANG (梁天宇) of the Institute of Applied Optimization (应用优化研究所, IAO) of the School of Artificial Intelligence and Big Data (人工智能与大数据学院) at Hefei University (合肥大学) in Hefei, Anhui, China (中国安徽省合肥市) via email to liangty@stu.hfuu.edu.cn.