cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y5kzd7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea malvaviscoides Meisn."
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126891-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnmk7c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymus troctolepis (Nevski) Tzvelev"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038162-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pabc9
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia mitopoda B.L.Rob."
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137691-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs0mfd
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mortensen Th. And Steuer Ad. 1937. The fishery grounds near Alexandria. XIII Echinoderma. Notes and Memoirs No 21. Hydrobiology and Fisheries Directorate, Egypt"
 ]
}

 The dataset includes 165 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008448-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvz6xs
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drypetes sumatrana (Miq.) Pax & K.Hoffm."
 ]
}

 The dataset includes 43 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038089-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru2t6a
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urophyllum chinense Merr. & Chun"
 ]
}

 The dataset includes 122 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130611-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lqmhjh
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1000-2019",
 "HasCoordinate is true",
 "TaxonKey is Lepidium meyenii Walp.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008448-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5gkhb
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.9541 21.8615,-96.28418 19.89072,-94.08691 18.39623,-91.4502 18.39623,-90.92285 19.89072,-89.16504 21.77991,-86.08887 20.55051,-82.13379 22.51256,-81.16699 24.92629,-82.57324 28.92163,-87.84668 30.37288,-93.73535 29.91685,-97.33887 28.07198,-97.9541 21.8615))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October",
 "Month is November",
 "Month is December"
 ]
 },
 "TaxonKey is Rhincodon typus Smith, 1828",
 "Year 2018-2020"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132350-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apmcsy
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "TaxonKey is one of (Acacia Mill., Juglans L., Canarium album (Lour.) Raeusch. ex DC., Canarium album Leenh., Canarium album Blanco, Canarium album (Lour.) Raeusch., Tectona grandis L.f., Tectona grandis Rao & Sahni, 1967, Tectona grandis f. punctata Moldenke, Tectona grandis f. tomentella Moldenke, Tectona grandis f. pilosula Moldenke, Tectona grandis f. abludens Koord. & Valeton, Tectona grandis f. canescens Moldenke, Eucalyptus L'Hér., Bambusa Schreb., Bambusa Mutis ex Caldas)"
 ]
}

 The dataset includes 355 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038114-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7ejk2
title: Occurrence Download

description: A dataset containing 18994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Papilionidae"
 ]
}

 The dataset includes 18994 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069854-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhhxrx
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valeriana chionophila Popov & Kult."
 ]
}

 The dataset includes 59 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130610-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xxv3g
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ptilinopus victor (Gould, 1872)"
 ]
}

 The dataset includes 415 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038111-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjz9f9
title: Occurrence Download

description: A dataset containing 116166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbalaria muralis G.Gaertn., B.Mey. & Scherb."
 ]
}

 The dataset includes 116166 records from 568 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129986-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pr9rp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptographium alethinum K.Jacobs, M.J.Wingf. & Uzunovic",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126511-210914110416597/datasets/export for details.
DOI: 10.15468/dl.q9z7qu
title: Occurrence Download

description: A dataset containing 627783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vitales"
 ]
}

 The dataset includes 627783 records from 1749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0430129-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17628696
title: Crustal heterogeneity onshore Spitsbergen: data integration and forward modeling of potential field data (digital appendix)

description: Supplementary data package for 'Crustal Heterogeneity Onshore Spitsbergen: Data Integration and Forward Modeling of Potential Field Data' Fenna Ammerlaan, Marie-Andrée Dumais, Aleksandra Smyrak-Sikora, Antonia Ruppel, Kim Senger in G-Cubed. 

The data package includes the three CASE23 helicopter-borne magnetic lines utilized for forward modeling (files .XYZ). The following lines are included:

Line  25_08_23.6 - Line 1 in the manuscriptLine  25_08_23.4 - Line 2 in the manuscriptLine  25_08_23.3 - Line 3 in the manuscript

A README file with an explanation of the data columns is included.
DOI: 10.15468/dl.z6maar
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ampelocalamus luodianensis, Ampelocalamus mianningensis, Ampelocalamus microphyllus, Ampelocalamus naibunensis, Ampelocalamus patellaris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 95 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/hj3zhe
title: PAN-00002683 - coin/coin-related, Magnus Maximus (383-388), aes II

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00002683&lt;/p&gt;
description: Modified: 2025-08-19T08:11:39+02:00
DOI: 10.17026/dans-zb3-kvzg
title: PAN-00121409 - terra sigillata plate type Drag. 18/31 and 31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00121409&lt;/p&gt;
description: Modified: 2025-09-11T21:07:58+02:00
DOI: 10.34810/data2673
title: Algorithm to analyse fog colonies and service placement using genetic algorithms and hierarchical clustering

description: This dataset contains the experimental results generated by the hybrid optimization approach combining hierarchical clustering and a genetic algorithm for fog colony layout and service placement in cloud–fog–edge infrastructures.
It includes:
- multiple synthetic infrastructure scenarios with varying numbers of nodes, applications, and experimental repetitions;
- CSV files representing Pareto fronts obtained for each execution, where each row corresponds to a solution (e.g., a colony layout and service assignment) with its associated objective values (e.g., service deployment time, end-to-end latency, or communication cost) and metadata (e.g., number of nodes, number of applications, random seed, and clustering strategy used);
- configuration scripts (configuration.py, domainConfiguration.py) defining experimental parameters such as the number of generations, range of applications, or infrastructure size;
- result folders (results/) structured by scenario and repetition, along with generated plots summarizing the optimization outcomes.
DOI: 10.34810/data2672
title: Distributed Genetic Algorithm implementation based on a publish/subscriber pattern

description: This dataset comprises the experimental results of a distributed genetic algorithm for application placement in the cloud–edge/fog continuum. It includes:
- execution logs of multiple placement scenarios under four different distribution models (traditional centralized, semi-distributed, fully-distributed, neighbour-aware), each with multiple repetitions;
- csv files capturing solution sets (Pareto fronts) for each run, including objective values (e.g., latency, cost, resource usage) and instance metadata (e.g., number of infrastructure nodes, number of applications/services, worker counts, distribution mode);
- aggregated result plots summarising performance metrics (e.g., convergence, generational distance, network overhead) across scenarios, generated via analizeresults.py;
- configuration files to reproduce the experiments (executionConfig.py, optimizationConfig.py, experimentationConfig.py).
DOI: 10.5517/cc986b2
title: CCDC 276003: Experimental Crystal Structure Determination

description: Related Article: I.A.Charushnikova, N.N.Krot, Z.A.Starikova|2004|Radiokhimiya|46|396|doi:10.1007/s11137-005-0003-z
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p6h9q
title: CCDC 2478893: Experimental Crystal Structure Determination

description: Related Article: Mark Baranov|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34810/data2671
title: Replication data for: Multi-objective application placement in fog computing using graph neural network-based reinforcement learning

description: This dataset comprises a collection of synthetic application‐placement instance sets for heterogeneous cloud–edge/fog infrastructures, designed for the evaluation of single‐ and multi‐objective optimization strategies. Each instance describes:
- a directed acyclic graph (DAG) of interdependent services forming an application,
- a set of compute nodes (cloud, edge, fog) with resource capacities and connectivity latencies,
- resource demands of each service (e.g., CPU, memory), service‐to‐service dependency weights or communication cost,
- one or more placement solutions together with objective values (such as latency, energy consumption, deployment cost) generated by algorithms including the DRL model, a genetic algorithm (GA) and an NSGA-II multi‐objective heuristic.

The dataset is split into training and test sets and is generated via the provided instance_generator.py and generate_dataset.py scripts. It allows researchers to benchmark and compare placement algorithms in terms of Pareto-front coverage, convergence speed, and trade-offs between objectives.

Potential uses: Investigating learning‐based or heuristic algorithms for application placement, multi‐objective optimisation in the cloud/fog continuum, dependency‐aware placement of microservices, as well as enabling reproducibility and comparison across approaches.
DOI: 10.17026/ar/o10prh
title: PAN-00177922 - strap end group 10.2

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00177922&lt;/p&gt;
description: Modified: 2025-08-05T12:28:35+02:00
DOI: 10.15468/dl.asaewr
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ampelocalamus saxatilis, Ampelocalamus scandens, Ampelocalamus yongshanensis, Prunus davidiana, Prunus kansuensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 754 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbgvt6
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Netherlands",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is NLD.5_1",
 "License is CC-BY 4.0",
 "Month is one of (April, May, June, July)",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Erithacus rubecula",
 "Year is 2024"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17621963
title: Dataset for Systematic Review: Computational Strategies for Depression Detection and Treatment

description: Systematic review metadata and supplementary materials for the study:

Computational Strategies for Depression Detection and Treatment: The Role of Behavioral Activation and Neurobiological Insights – A Systematic Review

This dataset contains structured metadata for the 61 studies included in the PRISMA 2020-compliant systematic review. It supports the analysis of artificial intelligence (AI), machine learning, behavioral activation (BA), physical activity monitoring, and neurobiological mechanisms in depression detection and treatment.

 Contents:- `dataset.csv`: Full bibliographic details (Study ID, first author, year, full title, journal, AI technique, accuracy/outcome metrics, population, DOI/URL) for all 59 included studies.- `S1_File.docx`: Retrospective review protocol, including PICO framework, search strategy, and inclusion/exclusion criteria.- `S1_Table.pdf`: Complete search strings used across PubMed, Scopus, ACM Digital Library, and Web of Science.- `S2_File.docx`: Completed PRISMA 2020 Checklist.- `README.markdown`: Dataset overview and usage instructions.- `data_availability_statement.md`: Final data availability statement for inclusion in the manuscript.Keywords: depression, artificial intelligence, behavioral activation, machine learning, EEG, neuroimaging, digital mental health, PRISMA

-'Appendix_S2_AI_ML_reporting_checklist.docx': Compliance with CLAIM and IJMI AI/ML reporting guidelines
DOI: 10.15468/dl.2u5kk7
title: Occurrence Download

description: A dataset containing 3745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistocerca piceifrons"
 ]
}

 The dataset includes 3745 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022087-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.29911967
title: Cystic Fibrosis Target Product Profiles: survey data to inform TPP development

description: Diagnostics are key to the appropriate detection, treatment and management of many conditions and associated health implications. People with cystic fibrosis are susceptible to recurrent pulmonary infections that over time contribute to deterioration and degeneration of the lung. Launched in 2019, the Cystic Fibrosis (CF) Antimicrobial Resistance (AMR) Syndicate was formed to accelerate the translation and adoption of new CF antimicrobials and diagnostics to the clinic through collaboration (https://cfamr.org.uk/), bringing better treatment options to people with CF, faster.To catalyse the development of new diagnostics, the CF AMR Syndicate, together with the Newcastle NIHR HealthTech Research Centre (formerly Newcastle NIHR MIC), has worked with the wider community to understand the unmet diagnostic needs and develop a suite of Target Product Profiles (TPPs) for CF lung infection diagnostics. The intention of this is to drive diagnostic discovery, focusing efforts where they are needed the most. Although developed in the UK with input from UK based experts and people with CF, we intend for the impact of these TPPs to be global.This project involved three main phases, sandwiched between planning and management activities, and a dissemination strategy programme, all guided by an expert advisory group.Phase 1 involved a landscape analysis to identify and prioritise unmet diagnostic needs via multiple focus groups of clinical experts and people with Cystic Fibrosis (pwCF), as well as a scoping review of the diagnostic space and available diagnostic tests (https://doi.org/10.1016/j.resinv.2024.07.005).Phase 2 involved drafting the TPPs using existing literature and regulatory documentation, focus groups, one-to-one interviews with key opinion leaders (KoLs), and a <b>web-based su</b><b>rvey</b>, to define ‘minimal’ and ‘optimal’ characteristics for each TPP.Phase 3 refined and validated the TPP content through additional interviews, <b>a two-round modified Delphi exercise</b>, and a virtual symposium.These data are from phase 2 of this study (the web based survey) and phase 3 (two-round Delphi exercise).The files are the survey data for each phase (anonymised)Plus the table of characteristics for one of the developed TPPs, explaining the content the table covered and the purpose and need for that characteristic to be defined and included in the TPP. As each TPP table differed slightly based on context and need, this table is based on TPP4, the most comprehensive TPP developed in this project (target product profile 4: non-tuberculous mycobacteria).These surveys went on to inform the wording and priority areas of the first and refined drafts of the TPP document.Focus group topic guides are available at: https://doi.org/10.25405/data.ncl.26477263.The final TPP documents (and a report from the virtual symposium) are available at: https://cfamr.org.uk/therapeutic-tpp/.