cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4g7zs6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus wageri (Wager, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036587-250525065834625/datasets/export for details.
DOI: 10.5519/qd.92huyp71
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.15642234
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250611p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250611p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15642235
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250611p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250611p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.57745/dgvimd
title: train_set_gyrB_v5.fa.gz

description: gyrB database v5
DOI: 10.57745/91fph1
title: README.md

description: README
DOI: 10.57745/dd7rz8
title: gyrB database for taxonomic assignment formatted for DADA2

description: This dataset contains gyrB amplicon database used for taxonomic assignment of gyrB barcode sequencing performed according to the protocol described in “Emergence Shapes the Structure of the Seed Microbiota, Barret et al 2015”. The database includes gyrB sequences from Public repositories of genomes and sequences (Ensembl Bacteria, NCBI, JGI). - annotated genes gyrB (TIGR01059) at JGI (2014) - annotated sequences gyrB at ensemblBacteria (2018) - ampilicons extracted in silico from primers described in Barret et al 2015 from bacteria genomes available at NCBI in 2019.
DOI: 10.5281/zenodo.15642195
title: Literature Dataset on Augmented Reality Applications in Surgical Demonstrations

description: This dataset presents a curated collection of scholarly publications focused on the use of Augmented Reality (AR) in surgical demonstrations. It includes metadata for each paper—such as title, authors, publication year, and citation information—offering researchers, educators, and developers a consolidated resource for exploring how AR technologies are being applied to enhance surgical visualization, training, and procedural guidance. The dataset serves as a foundation for bibliometric analysis, literature reviews, and the development of AR-based surgical tools or educational platforms.
DOI: 10.15468/dl.364t7h
title: Occurrence Download

description: A dataset containing 3544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Glareola pratincola (Linnaeus, 1766)"
 ]
}

 The dataset includes 3544 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036588-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12132619
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.fsb28h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus wageri (Wager, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036589-250525065834625/datasets/export for details.
DOI: 10.15468/dl.92bzyt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "Geometry POLYGON((80 40,92 40,92 50,80 50,80 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus Tunstall, 1771",
 "Year 2023-2025"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036590-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.angmr3
title: Occurrence Download

description: A dataset containing 8513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris canutus (Linnaeus, 1758)"
 ]
}

 The dataset includes 8513 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036591-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwgnuy
title: Occurrence Download

description: A dataset containing 10962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris ferruginea (Pontoppidan, 1763)"
 ]
}

 The dataset includes 10962 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036593-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft4gug
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus wageri (Wager, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036594-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15642012
title: High-resolution UAV Orthomosaic, Point Cloud and DSM Dataset - Oil Spill Cleanup Site (Mackenzie River), NWT, CA 5 cm GSD [2022, 2024]

description: This dataset provides high-resolution Unmanned Aerial Vehicle (UAV) data from a site along the Peel Channel of the Mackenzie River, Northwest Territories, Canada. The data was collected on two separate dates, September 18, 2022 (490 images), and September 18, 2024 (270 images), offering a multi-temporal view of substantial surface changes. For both years, the dataset includes a dense point cloud, a Digital Surface Model (DSM), and a high-resolution orthomosaic.

The 2022 data captures the site in a relatively undisturbed state. In contrast, the 2024 data documents the area during a period of extensive ground disturbance and on-site industrial activity, including the presence of heavy machinery and temporary structures. This data was acquired as part of the "UndercoverEisAgenten" citizen science project. This multi-year dataset is valuable for applications in environmental monitoring, change detection, and the study of landscape alterations resulting from industrial or remediation activities in Arctic regions. The data was processed using Agisoft Metashape Professional.
DOI: 10.5281/zenodo.15642013
title: High-resolution UAV Orthomosaic, Point Cloud and DSM Dataset - Oil Spill Cleanup Site (Mackenzie River), NWT, CA 5 cm GSD [2022, 2024]

description: This dataset provides high-resolution Unmanned Aerial Vehicle (UAV) data from a site along the Peel Channel of the Mackenzie River, Northwest Territories, Canada. The data was collected on two separate dates, September 18, 2022 (490 images), and September 18, 2024 (270 images), offering a multi-temporal view of substantial surface changes. For both years, the dataset includes a dense point cloud, a Digital Surface Model (DSM), and a high-resolution orthomosaic.

The 2022 data captures the site in a relatively undisturbed state. In contrast, the 2024 data documents the area during a period of extensive ground disturbance and on-site industrial activity, including the presence of heavy machinery and temporary structures. This data was acquired as part of the "UndercoverEisAgenten" citizen science project. This multi-year dataset is valuable for applications in environmental monitoring, change detection, and the study of landscape alterations resulting from industrial or remediation activities in Arctic regions. The data was processed using Agisoft Metashape Professional.
DOI: 10.6084/m9.figshare.29293865
title: analytical data

description: Heavy metal concentrations, nutrient contents, and enzyme activities of soil samples in tailing dams.
DOI: 10.6084/m9.figshare.29293865.v1
title: analytical data

description: Heavy metal concentrations, nutrient contents, and enzyme activities of soil samples in tailing dams.
DOI: 10.15468/dl.rxbns3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cymbopogon excavatus (Hochst.) Stapf ex Burtt Davy",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036596-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ht2jrj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cymbopogon plurinodis (Stapf) Stapf ex Burtt Davy",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036597-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15637848
title: PieStream Test Dataset
DOI: 10.15468/dl.8pzbkb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Crassula perforata Thunb.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036595-250525065834625/datasets/export for details.
DOI: 10.15128/r2s7526c480
title: Techno-economic assessment of a fuel flexible free piston engine generator based energy system for cold ironing application [dataset]

description: This study assesses the techno-economic viability of a fuel-flexible free piston engine generator (FPEG) for providing shore power to maritime vessels (cold ironing) within ports. In cold ironing applications a localised power generation is required when there is limited electrical supply within the port. The FPEG offers an advantage over conventional engines by eliminating rotational components, with linear piston reciprocation leading to a compact and efficient conversion of fuel to electrical power. The FPEGs enable the engine to run on various fuels, including future options like hydrogen, ammonia, and methanol. The sizing of the FPEG is matched to the power requirements of different classes of vessel. Underpinning the techno-economic model is an FPEG model which is validated against experimental data. The results show that hydrogen fuel is the most efficient, with 41.08 % efficiency and the lowest fuel consumption (0.002 kg/s) compared to ammonia and methanol. Lower hydrogen consumption results in less NOx, despite its higher emission factor per mass of fuel burned. Green hydrogen however has the highest levelised cost, of the fuels investigated, at 0.40 £/kWh, with methanol being the cheapest at 0.18 £/kWh. The study calculates the greenhouse gas potential of the different fuels, highlighting the advantage of green hydrogen with calculated emissions to be 0.01 kgCO2-e/kWh, significantly lower than ammonia at 0.086 kgCO2-e/kWh and methanol at 0.635 kgCO2-e/kWh. Overall, this study shows the FPEG as a viable option for cold ironing applications, offering notable advantages over other generator types, such as fuel flexibility and compact design.
DOI: 10.15468/dl.arffwt
title: Occurrence Download

description: A dataset containing 3285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris maritima (Brünnich, 1764)"
 ]
}

 The dataset includes 3285 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036599-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5wvxn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus wageri (Wager, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036602-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bdawjd
title: Occurrence Download

description: A dataset containing 39787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Canada, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pimephales promelas Rafinesque, 1820"
 ]
}

 The dataset includes 39787 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036601-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15642176
title: ITC 2007 Track 3: CTT Benchmark & Solution Dataset for GA-based Timetabling Experiments

description: This dataset supports the experiments presented in our study on optimizing monthly duty schedules for seven medical secretaries at Aydın Women’s and Children’s Hospital Emergency Department using a custom Genetic Algorithm (GA). To ensure reproducibility and facilitate comparison with the literature, we adapted the International Timetabling Competition 2007, Track 3: Curriculum Based Course Timetabling benchmarks.

The archive contains the following files:





benchmark.logRaw log of all GA and Simulated Annealing runs, recording timestamped messages with instance names, algorithm identifiers, seed numbers, generation counts, “best‐so‐far” penalty values, and elapsed times.




merged_ctt.jsonOriginal problem definitions for each CTT instance, specifying room–day–period structures, curricula, and both hard and soft constraint data.




merged_solution.jsonFinal timetable solutions produced by our optimized GA, mapping each instance’s room–day–period assignments for courses (analogous to duty slots).




runs.csvDetailed per‐run data extracted from the log, with one row per (instance, algorithm, seed) recording the generation at which the best penalty was found, the penalty itself, and CPU time.




summary.csvAggregated statistics for each (instance, algorithm) pair, including minimum, maximum, median, mean, and standard deviation of penalties, plus average CPU time.



Researchers can use these files to reproduce our analyses—box‐plot distributions, convergence curves, performance profiles, and statistical tests—and to develop or benchmark alternative meta-heuristic timetabling approaches. For full methodological details and source code, please refer to the associated GitHub repository.Integrity Verification Checksums (SHA-256):




File
SHA256




benchmark.log
a326bf4fd5716de94aa0c97243731e62a5f6ad1a9cea220eac8ad05d113d2fa4


merged_ctt.json
72c841fe4b80dd78de5451385c9c0be42e7d8ef47f67ef888bfeca377c2deb6d


merged_solution.json
c297347c90ac136818f616bb2aa66820fb43fb65a45e46509dde7eab1434983e


runs.csv
96a0c0d882b1683ec728d6026f7e237971793557173f9975271e0ec5d66e65a2


summary.csv
ca5b5680314d25885dada44ec78406c7cb295aa038964f14634113adf595395f
DOI: 10.5281/zenodo.15642177
title: ITC 2007 Track 3: CTT Benchmark & Solution Dataset for GA-based Timetabling Experiments

description: This dataset supports the experiments presented in our study on optimizing monthly duty schedules for seven medical secretaries at Aydın Women’s and Children’s Hospital Emergency Department using a custom Genetic Algorithm (GA). To ensure reproducibility and facilitate comparison with the literature, we adapted the International Timetabling Competition 2007, Track 3: Curriculum Based Course Timetabling benchmarks.

The archive contains the following files:





benchmark.logRaw log of all GA and Simulated Annealing runs, recording timestamped messages with instance names, algorithm identifiers, seed numbers, generation counts, “best‐so‐far” penalty values, and elapsed times.




merged_ctt.jsonOriginal problem definitions for each CTT instance, specifying room–day–period structures, curricula, and both hard and soft constraint data.




merged_solution.jsonFinal timetable solutions produced by our optimized GA, mapping each instance’s room–day–period assignments for courses (analogous to duty slots).




runs.csvDetailed per‐run data extracted from the log, with one row per (instance, algorithm, seed) recording the generation at which the best penalty was found, the penalty itself, and CPU time.




summary.csvAggregated statistics for each (instance, algorithm) pair, including minimum, maximum, median, mean, and standard deviation of penalties, plus average CPU time.



Researchers can use these files to reproduce our analyses—box‐plot distributions, convergence curves, performance profiles, and statistical tests—and to develop or benchmark alternative meta-heuristic timetabling approaches. For full methodological details and source code, please refer to the associated GitHub repository.Integrity Verification Checksums (SHA-256):




File
SHA256




benchmark.log
a326bf4fd5716de94aa0c97243731e62a5f6ad1a9cea220eac8ad05d113d2fa4


merged_ctt.json
72c841fe4b80dd78de5451385c9c0be42e7d8ef47f67ef888bfeca377c2deb6d


merged_solution.json
c297347c90ac136818f616bb2aa66820fb43fb65a45e46509dde7eab1434983e


runs.csv
96a0c0d882b1683ec728d6026f7e237971793557173f9975271e0ec5d66e65a2


summary.csv
ca5b5680314d25885dada44ec78406c7cb295aa038964f14634113adf595395f
DOI: 10.5281/zenodo.15641107
title: Dataset
DOI: 10.5281/zenodo.15641108
title: Dataset
DOI: 10.15468/dl.2xwb3s
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "Geometry POLYGON((80 40,92 40,92 50,80 50,80 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alauda arvensis Linnaeus, 1758",
 "Year 2023-2025"
 ]
}

 The dataset includes 56 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036604-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr69d3
title: Occurrence Download

description: A dataset listing the 372932 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 372932 records were derived from 2000 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036585-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn8w45
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selenidera nattereri (Gould, 1835)"
 ]
}

 The dataset includes 324 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0402741-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hqwxj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eremophila physocalyx Chinnock",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043296-191105090559680/datasets/export for details.
DOI: 10.15468/dl.m9qhmz
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Trachelium caeruleum L."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136601-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2nxqt
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptotriton alvarezdeltoroi (Papenfuss & Wake, 1987)"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0310248-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.