cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jj56zc
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta guariba (Humboldt, 1812)"
 ]
}

 The dataset includes 413 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058997-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3ukz3
title: Occurrence Download

description: A dataset containing 1455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Evaluación del estado de conservación de las poblaciones de los primates silvestres (Ateles y Alouatta) en la región noreste del estado de Oaxaca y la península de Yucatán, mediante información sobre su distribución geográfica, abundancia y demografía, Actualización y enriquecimiento de las bases de datos del proyecto de evaluación y análisis geográfico de la diversidad faunística de Chiapas, Actualización de la base de datos del Atlas Mastozoológico de México, Caracterización biológica del Monumento Natural Yaxchilán como un elemento fundamental para el diseño de su plan rector de manejo, Estudio poblacional y conservación del mono araña (Ateles geoffroyi yucatanensis) en la región nororiental Península de Yucatán, Determinantes ambientales de la abundancia de vertebrados terrestres en la región Lacandona: Primera fase, KUBI Mammalogy Collection, naturgucker)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alouatta pigra Lawrence, 1933"
 ]
}

 The dataset includes 1455 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058967-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5c5rdu
title: Occurrence Download

description: A dataset containing 2296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, French Guiana, Peru, Ecuador, Colombia, Venezuela (Bolivarian Republic of), Suriname, Guyana, Bolivia (Plurinational State of), Trinidad and Tobago)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta seniculus (Linnaeus, 1766)"
 ]
}

 The dataset includes 2296 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063347-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afmq8p
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta sara Elliot, 1910"
 ]
}

 The dataset includes 70 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058711-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex6va8
title: Occurrence Download

description: A dataset containing 4619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, c54097e6-0972-4acb-b849-eaeba29c917d, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Alouatta palliata (Gray, 1849)"
 ]
}

 The dataset includes 4619 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058881-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wea29v
title: Occurrence Download

description: A dataset containing 63904 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term monitoring of Azorean forest arthropods: the BALA Project (1997-2022)"
 ]
}

 The dataset includes 63904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020424-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4h62p
title: Occurrence Download

description: A dataset containing 10433 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 Phaseolus coccineus L."
 ]
}

 The dataset includes 10433 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020429-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14810953
title: Temperature-Dependent Growth and Activity in a Globally Distributed Nitrogen-Fixing Haptophyte
DOI: 10.5281/zenodo.14810954
title: Temperature-Dependent Growth and Activity in a Globally Distributed Nitrogen-Fixing Haptophyte
DOI: 10.5281/zenodo.15064385
title: Neural Style Transfer (NST) and Steganography Dataset for NCSM

description: This dataset consists of 17 content images and 16 style images created using a combination of DALL·E-generated AI artwork and hand-drawn elements to ensure originality. The images were digitally processed and formatted to be compatible with Neural Style Transfer (NST) models.

The dataset is designed for research on style transfer and steganography, specifically within the Neural Crypto Stego Model (NCSM). In this study, an encrypted message was embedded into a transformed content image using Least Significant Bit (LSB) steganography. The dataset provides a valuable resource for evaluating and comparing different NST methodologies and their effectiveness in secure communication.
DOI: 10.5281/zenodo.15064386
title: Neural Style Transfer (NST) and Steganography Dataset for NCSM

description: This dataset consists of 17 content images and 16 style images created using a combination of DALL·E-generated AI artwork and hand-drawn elements to ensure originality. The images were digitally processed and formatted to be compatible with Neural Style Transfer (NST) models.

The dataset is designed for research on style transfer and steganography, specifically within the Neural Crypto Stego Model (NCSM). In this study, an encrypted message was embedded into a transformed content image using Least Significant Bit (LSB) steganography. The dataset provides a valuable resource for evaluating and comparing different NST methodologies and their effectiveness in secure communication.
DOI: 10.15468/dl.ckrcww
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, Portugal, Morocco)",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosophyllum lusitanicum (L.) Link"
 ]
}

 The dataset includes 700 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020431-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sb7hn
title: Occurrence Download

description: A dataset containing 3821 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 Phlox drummondii Hook."
 ]
}

 The dataset includes 3821 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020432-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wse9gx
title: Occurrence Download

description: A dataset containing 67316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiroxiphia caudata (Shaw, 1793)"
 ]
}

 The dataset includes 67316 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020384-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18117/r7tk-c103
title: Data associated with publication: "The Difficulty of Measuring Surface Topography in Additive Manufacturing: A Comparison Between Measured and True Surface Features of Binder-Jet Printed Samples." by C. Brown, M. Nescio, V. Chadha, C. Zheng, E. Abelev, M. Chmielus, T. D. B. Jacobs, published in the ASME Journal of Tribology, 2025

description: Surface topography represents a critical barrier to the advancement of additive manufacturing (AM). Because some internal features cannot be polished, and because of a growing trend of in situ process monitoring, it is important to understand the as-built surface topography of AM components. Here we highlight the challenges of using industry-standard surface-measurement techniques on binder-jet-printed parts. We measured the topography of binder-jet-printed Inconel Alloy 625 samples in their green state and over the course of sintering; this system allowed the investigation of identical starting materials undergoing systematic changes in topography. Specifically, we compared the results from industry-standard surface-measurement techniques— optical interferometry, 3D microscopy (by fringe projection), and stylus profilometry—against the “true topography,” as revealed by cross-section scanning electron microscopy. While the true topography changed significantly with sintering, the industry-standard techniques detected no change in root-mean-square height because of complex surface features, including multi-scale topography, overhangs, and steep surface slopes. While these findings do not invalidate the use of industry-standard techniques for binder-jet-printed samples, they demonstrate a challenge in their application, and they motivate the development of new metrics and new techniques to more accurately describe surface topography in AM.
DOI: 10.5281/zenodo.15059636
title: Dataset from "Study of the Influence of Boundary Conditions on Corneal Deformation Based on the Finite Element Method of a Corneal Biomechanics Model"

description: Dataset from "Study of the Influence of Boundary Conditions on Corneal Deformation Based on the Finite Element Method of a Corneal Biomechanics Model"
DOI: 10.5281/zenodo.15059637
title: Dataset from "Study of the Influence of Boundary Conditions on Corneal Deformation Based on the Finite Element Method of a Corneal Biomechanics Model"

description: Dataset from "Study of the Influence of Boundary Conditions on Corneal Deformation Based on the Finite Element Method of a Corneal Biomechanics Model"
DOI: 10.60871/ingpan/ushgfp
title: D/H exchange kinetics on kaolinite

description: Kinetics of hydrogen isotope exchange in kaolinite under water vapor. Different kaolinite samples treated with D2O vapor under different temperatures.
DOI: 10.5281/zenodo.15062950
title: Dataset from "Reconstruction of the corneal surface of the human eye using a computational evolutionary algorithm. Practical application in non-pathological cases"

description: Dataset from "Reconstruction of the corneal surface of the human eye using a computational evolutionary algorithm. Practical application in non-pathological cases
DOI: 10.5281/zenodo.15062951
title: Dataset from "Reconstruction of the corneal surface of the human eye using a computational evolutionary algorithm. Practical application in non-pathological cases"

description: Dataset from "Reconstruction of the corneal surface of the human eye using a computational evolutionary algorithm. Practical application in non-pathological cases
DOI: 10.15468/dl.3eucfc
title: Occurrence Download

description: A dataset containing 16211 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 Physalis peruviana L."
 ]
}

 The dataset includes 16211 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020434-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063454
title: Dataset from "Partial reconstruction of sparse and incomplete point clouds applied to the generation of corneal topographic maps of healthy and diseased patients"

description: Dataset from "Partial reconstruction of sparse and incomplete point clouds applied to the generation of corneal topographic maps of healthy and diseased patients"
DOI: 10.5281/zenodo.15063455
title: Dataset from "Partial reconstruction of sparse and incomplete point clouds applied to the generation of corneal topographic maps of healthy and diseased patients"

description: Dataset from "Partial reconstruction of sparse and incomplete point clouds applied to the generation of corneal topographic maps of healthy and diseased patients"
DOI: 10.15468/dl.r5t5b3
title: Occurrence Download

description: A dataset containing 6422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenocephalides felis (Bouché, 1835)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6422 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020433-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063839
title: Dataset from "3D corneal morpho-geometric parameters in healthy patients measured with an optical coherence tomographer and a Scheimpflug tomographer: a comparative study"

description: Dataset from "3D corneal morpho-geometric parameters in healthy patients measured with an optical coherence tomographer and a Scheimpflug tomographer: a comparative study"
DOI: 10.5281/zenodo.15063840
title: Dataset from "3D corneal morpho-geometric parameters in healthy patients measured with an optical coherence tomographer and a Scheimpflug tomographer: a comparative study"

description: Dataset from "3D corneal morpho-geometric parameters in healthy patients measured with an optical coherence tomographer and a Scheimpflug tomographer: a comparative study"
DOI: 10.5281/zenodo.15064097
title: DICOM Network Traffic Dataset

description: This dataset contains DICOM (Digital Imaging and Communications in Medicine) network traffic in pcap format, designed for analyzing, testing, and improving the robustness of DICOM servers and network security tools. The dataset includes normal traffic that reflects typical DICOM operations and abnormal traffic introduced by modifying specific attributes of legitimate packets using our tool NetworkFuzzer. This dataset is suitable for protocol analysis, machine learning research, and IDS/IPS evaluation.
DOI: 10.5281/zenodo.15064098
title: DICOM Network Traffic Dataset

description: This dataset contains DICOM (Digital Imaging and Communications in Medicine) network traffic in pcap format, designed for analyzing, testing, and improving the robustness of DICOM servers and network security tools. The dataset includes normal traffic that reflects typical DICOM operations and abnormal traffic introduced by modifying specific attributes of legitimate packets using our tool NetworkFuzzer. This dataset is suitable for protocol analysis, machine learning research, and IDS/IPS evaluation.
DOI: 10.5281/zenodo.15064382
title: Food security data with CSAPT adoption in Togo
DOI: 10.15468/vvuvjp
title: University of Hargeisa Biodiversity Museum (Animal Images)

description: This collection consists of images recorded by or provided to staff of the University of Hargeisa's Biodiversity Museum. With the affordability of high quality digital cameras, images are sometimes preferable to specimens, for example when wanting to document large animals. Whether of large animals or small, it is, of course, necessary that they show the animal's identifying characteristics.
DOI: 10.18150/lknvwr
title: Surowe dane z badań nad wykorzystaniem danych behawioralnych w systemie e-commerce do predykcji zachowań klientów i stworzenia mechanizmów preloading danych

description: Zbiór zawiera surowe dane na podstawie których prowadzono badanie dotyczące wykorzystania danych behawioralnych w systemie e-commerce AtomStore, do predykcji zachowań klientów i stworzenia mechanizmów preloading danych.Badania zostały przeprowadzone przez zespół programistów AtomStore w ramach prac nad nową wersją frontendu. Zespół zweryfikował, czy na podstawie treści wyświetlanych wcześniej przez klienta na platformie e-commerce możliwe będzie przewidzenie jego kolejnych ruchów na stronie internetowej sklepu. Wykorzystano metodę klasyfikacji k-nearest neighbors (k-NN) oraz różne metryki odległości w celu określenia najbardziej prawdopodobnych kolejnych ruchów użytkowników na podstawie 3–4 wcześniejszych odsłon stron. Zbudowanie algorytmu przewidującego z dużym prawdopodobieństwem dalsze zachowanie klienta, pozwoliło na zaimplementowanie mechanizmu preloadingu danych bazujących na predykcji zachowań w obrębie platformy e-commerce AtomStore. Wyniki wskazują, że zastosowanie odpowiednich metryk oraz wag dla typów widoków pozwala na skuteczne przewidywanie kolejnych działań użytkownika, co znacząco skraca czas ładowania stron i poprawia doświadczenie użytkownika. Najlepsze wyniki osiągnięto dla metryk M1 i M2c, co sugeruje ich potencjał w zastosowaniach e-commerce.
DOI: 10.15468/dl.kt36v4
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-65.15178 -25.2056,-66.89461 -32.72729,-60.33607 -33.25472,-57.72182 -25.43492,-64.83073 -23.25639,-65.15178 -25.2056))",
 "OccurrenceStatus is Present",
 "TaxonKey is Camponotus Mayr, 1861"
 ]
}

 The dataset includes 725 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020436-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4twxb
title: Occurrence Download

description: A dataset containing 195464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-4.5 39.8,-3 39.8,-3 41.2,-4.5 41.2,-4.5 39.8))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2020-2025"
 ]
}

 The dataset includes 195464 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020425-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13594243
title: CAVEMOVE: An acoustic database for the study of voice-enabled technologies inside moving vehicles

description: We provide a collection of multichannel audio recordings obtained inside three different cars. The recording process involves (i) recordings of acoustic impulse responses, which are acquired at static conditions and provide the means for modeling the speech and car-audio components (ii) recordings of acoustic noise at a wide range of both static and in-motion conditions. Data is recorded with two different microphone configurations and particularly (i) a compact microphone array or (ii) a distributed microphone setup. A python API, that can be freely downloaded from CAVEMOVE github, is provided as the means to easily exploit the open access audio recordings to synthesize mixtures of speech and acoustic noise at different driving conditions. This way, the user can easily synthesize the microphone signals required for research on voice enabled technologies inside moving vehicles.

CAVEMOVE API is currently available in python, but a Matlab version will soon follow. Some basic principles followed in CAVEMOVE are the following. - We provide functions for retrieving speech and noise components as separate python entities (numpy arrays). Users must then add the speech and noise components to derive a mixture.- Noise recordings are derived as a function of driving conditions, specifically the speed (in km/hour) and the window aperture (3 or 4 different windows conditions are considered in each vehicle)-Apart from the basic noise components, we also provide means for adding ventilation/air-condition noise and also, interference from the built-in car audio system (e.g. radio, cd player etc)-To produce the speech components, users must provide their own dry speech recordings -To produce the car-audio components, users must provide their own audio signals.

The Documentation .pdf  file that we provide along with the audio recordings lists all the conditions that were recorded or measured inside the three cars, however, note that a more complete version of the dataset documentation can be found in CAVEMOVE github. This information is important for correct use of the python API, since, asking for a condition that was not recorded will produce an error. Note that that a list of recorded driving conditions given the car name and the microphone configuration can also be retrieved from auxiliary python functions included in the API.

For any questions with respect to CAVEMOVE dataset or API, feel free to send an email to Andreas Symiakakis at  andrysmi@ics.forth.gr orNikos Stefanakis at nstefana@ics.forth.gr

CAVEMOVE project is funded by the Institute of Computer Science of the Foundation for Research and Technology-Hellas (FORTH).