cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9phuqt
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euclea divinorum Hiern",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1250 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262819-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyn8m2
title: Occurrence Download

description: A dataset containing 91575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cynipidae"
 ]
}

 The dataset includes 91575 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196744-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcsajc
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilaeopsis attenuata (Hook. & Arn.) Fernald ex Pérez-Mor."
 ]
}

 The dataset includes 139 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009431-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8kyya
title: Occurrence Download

description: A dataset containing 499954 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthemum Mill."
 ]
}

 The dataset includes 499954 records from 1345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009441-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2pz51p28
title: Isotope data from pore waters in sediment below Camp Century, Greenland (2022 - 2025)

description: The Camp Century ice core, collected in 1966 from northwestern Greenland, recovered 3.44 meters of sub-glacial sediment from below nearly 1400 meters of ice. After drilling, the sediment was cursorily investigated and then misplaced for decades. This data set provides water isotope data from pore waters in the sediment, which reflects climate conditions when that sediment was exposed at the surface, about 400,000 years ago.
DOI: 10.15468/dl.48bhz2
title: Occurrence Download

description: A dataset containing 141388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorex araneus"
 ]
}

 The dataset includes 141388 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063181-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/c9wa-dx20
title: The Galaxy Activity, Torus, and Outflow Survey

description: Supermassive black holes, and the outflows they drive, are an established part of our understanding of galaxy evolution. Indeed, cosmological models rely on outflows to reproduce the observed scaling relations. But the enormous range of outflow rates that are measured for AGN of the same luminosity, highlights a gaping hole in our understanding of how outflows are launched and driven. Our sample of AGN at similar distances and with similar luminosities, but with outflow rates differing by two orders of magnitude, provides the ideal opportunity to fill this gap. We will exploit the rich suite of diagnostics at 5-29um with MIRI MRS integral field spectroscopy and the sensitivity and resolution of JWST. Our analysis is built on the three cornerstones of molecular gas, ionized gas, and dust - observed together at the same resolution over the same scales, enabling us to build a holistic view of the central few hundred parsecs. From the spatially resolved kinematics we will construct geometrical models that provide a direct view of how gas is fed in from the circumnuclear disk through the obscuring torus and driven out in the outflow. We will associate the PAHs and the hot dust continuum to each of these components to test new models of the torus. And from the numerous line ratios, we will quantify the role of AGN versus stellar photoionization on the different structures. Piecing this together will enable us to highlight the physical processes that determine the prominence of the observed outflow, leading to a major advance in our understanding of the key mechanisms at the root of AGN fuelling and feedback.
DOI: 10.5281/zenodo.18021491
title: P=NP is True _ the python script

description:  

This work documents the proof that the complexity class NP is equivalent to the class P. Using the Pezzotti Method, i demonstrate that decision and search problems deemed “exponential” can be solved in polynomial time O(n^k). The key to the solution lies in Rank Saturation: by identifying the constraint order and operating in finite fields \mathbb{F}_p, the system instantly detects the fertility (solution) or sterility (impossibility) of the variety of constraints.
DOI: 10.15468/dl.aqspb4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Museu Paraense Emílio Goeldi - Ichthyology Collection, Coleção de Ictiologia do MZUSP)",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Laimosemion strigatus"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063194-251120083545085/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.29768497.v1
title: Reconstruction for MRI by autoencoder and periodogram method

description: In MRI, noise can arise from a patient’s movement during scanning or from the imperfections of the equipment’s sensors. The application of neural networks significantly improves the analysis of noise-impacted medical images. However, these networks typically require a large training dataset. To mitigate this, in this study the effectiveness of an autoencoder-based neural network combined with periodogram reconstruction was evaluated. The periodogram as a non-parametric method was employed in conjunction with the autoencoder for preliminary filtering and noise reduction, when spectral characteristics of the image are unknown. The findings indicate that a hybrid method can be effective in noise-impacted image reconstruction in low data availability situations, as confirmed by SSIM and PSNR values.
DOI: 10.6084/m9.figshare.29768497
title: Reconstruction for MRI by autoencoder and periodogram method

description: In MRI, noise can arise from a patient’s movement during scanning or from the imperfections of the equipment’s sensors. The application of neural networks significantly improves the analysis of noise-impacted medical images. However, these networks typically require a large training dataset. To mitigate this, in this study the effectiveness of an autoencoder-based neural network combined with periodogram reconstruction was evaluated. The periodogram as a non-parametric method was employed in conjunction with the autoencoder for preliminary filtering and noise reduction, when spectral characteristics of the image are unknown. The findings indicate that a hybrid method can be effective in noise-impacted image reconstruction in low data availability situations, as confirmed by SSIM and PSNR values.
DOI: 10.13127/vulcano/vulcoast2023
title: Vulcano Coastline DSM 2023 (VULCOAST2023)
title: VULCOAST2023

description: The data reproduces the coastline of Vulcano island updated to August 4th, 2023.
description: The data was obtained by processing the 2023 Lidar DSM of Vulcano island and by using the orthophotos acquired during the same Lidar survey.
description: The coastline includes 474 emerged rocks. For each one, the area is provided in the table of the shapefile.
DOI: 10.13127/vulcano/vuldsm2023
title: Vulcano DSM 2023 (VULDSM2023)
title: VULDSM2023

description: The dataset represents the surface elevation model of Stromboli island update to August 4th, 2023
description: The dataset was obtained by processing Airborne Lidar data in GIS enviroment (ESRI platform).
description: The model is characterized by  a spatial resolution of 50 cm and a vertical accuracy of 8 cm. It is stored in ASCII format and geocoded into WGS84-UTM-N33 (ETRF 2000).
DOI: 10.15468/dl.yuvn9e
title: Occurrence Download

description: A dataset containing 11359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Loxostege sticticalis",
 "Year 1975-2025"
 ]
}

 The dataset includes 11359 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063195-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e6drv
title: Occurrence Download

description: A dataset containing 4526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ceratotherium simum, Loxodonta africana)"
 ]
}

 The dataset includes 4526 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063196-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17943808
title: From Leadership to Addiction: How Does a Brand Create a Lasting Impact? a Descriptive Analytical of The Opinions of a Sample Customers of Apple, Samsung, and Huawei Companies

description: Objective: The main objective of the study lies in identifying the impact of brand leadership in achieving brand addiction, and Apple, Samsung, and Huawei companies were chosen as the field of study.

Study Methodology and Tools: In order to achieve the objectives of the study, the researchers adopted the descriptive-analytical method to collect data accurately and in detail about the phenomenon, and then analyze it to extract results and interpretations. Accordingly, the study investigated the opinions of a sample of customers of Apple, Samsung, and Huawei companies at the level of Iraq, in line with the nature of the studied variables. The questionnaire was formulated as the main tool for data collection, and (395) questionnaires were distributed electronically through a Google form, using the five-point Likert scale, and processed and analyzed using appropriate statistical methods.

Results: The study reached a set of results, the most important of which is the existence of a partial effect of brand leadership in achieving brand addiction in the investigated companies. The study concluded with a set of recommendations related to the study variables, the most important of which is focusing on strengthening brand leadership, which enhances customer addiction to the brand and the sustainability of their relationship with it, in addition to future research directions
DOI: 10.15468/dl.4jxykj
title: Occurrence Download

description: A dataset containing 336 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Malawi-Saturniidae-Biodiversity-Data"
 ]
}

 The dataset includes 336 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000219-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azwqma
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bujurquina mariae (Eigenmann, 1922)",
 "Year 1998-2025"
 ]
}

 The dataset includes 328 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uey8s5
title: Occurrence Download

description: A dataset containing 1240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Camellia pitardii Cohen-Stuart"
 ]
}

 The dataset includes 1240 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000221-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7h5bc
title: Occurrence Download

description: A dataset containing 683018 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The System-wide Information Network for Genetic Resources (SINGER)"
 ]
}

 The dataset includes 683018 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000213-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxw446
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caquetaia myersi (Schultz, 1944)"
 ]
}

 The dataset includes 72 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14728981
title: Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes

description: Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes

The test sequence "Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes" is provided by Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit,Mehrdad Teratani, and Eduardo Juárez, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and CITSEM (Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), UPM (Universidad Politecnica de Madrid), Spain.

License

CC BY-NC-SA

Terms of Use

Any kind of publication or report using this sequence should refer to the following reference:

[1] Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit, Mehrdad Teratani, and Eduardo Juárez, "Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes," 2025.01, 10.5281/zenodo.14728981.

 

    bibtex    @misc{fachada_cubesshapes_2025,        title = {{Plenoptic} 2.0 } {Synthetic} {datasets} - {Cubes} and {Shapes}},        author = {Fachada, Sarah and Bonatto, Daniele and Sancho, Jaime and Lafruit, Gauthier and Teratani, Mehrdad and Juárez, Eduardo},        month = jan,        year = {2025},        doi = {10.5281/zenodo.14728981}    }   

Production

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Belgium, 

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad, CITSEM, Universidad Politécnica de Madrid, Spain.

Content

This dataset contains two multiview scenes featuring simple geometric objects rendered using a Blender plenoptic addon for plenoptic cameras [1].The dataset additionally contains cameras.txt files with the parameters of the cameras.

The dataset contains

- `Cubes` and `Shapes` folder containing:  - TXT parameters  - Plenoptic images in PNG format  - Disparity maps in PNG format, encoded between 0 and 255 (the last number in the filenames indicates the maximum disparity)  - Micro-lens mask in PNG format

References and links

[1] https://github.com/Arne-Petersen/Plenoptic-Simulation

Acknowledgments

Sarah Fachada is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique - FNRS, Belgium. This work was supported in part by the HoviTron project (no. 951989), the FER 2021 project (no. 1060H000066-FAISAN), the Emile DEFAY 2021 project (no. 4R00H000236), and the FER 2023 project (no. 1060H000075). 

Additionally, this work has been funded by the project AIMS5.0, supported by the Chips Joint Undertaking and its members, including top-up funding by National Funding Authorities from involved countries (no. 101112089), and the European project STRATUM (no. 101137416). The robotic bench was funded by “Programa Propio UPM” in the call “convocatoria de ayudas a centros e institutos de I+D+i”.
DOI: 10.5281/zenodo.14728982
title: Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes

description: Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes

The test sequence "Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes" is provided by Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit,Mehrdad Teratani, and Eduardo Juárez, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and CITSEM (Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), UPM (Universidad Politecnica de Madrid), Spain.

License

CC BY-NC-SA

Terms of Use

Any kind of publication or report using this sequence should refer to the following reference:

[1] Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit, Mehrdad Teratani, and Eduardo Juárez, "Plenoptic 2.0 - Synthetic datasets - Cubes and Shapes," 2025.01, 10.5281/zenodo.14728981.

 

    bibtex    @misc{fachada_cubesshapes_2025,        title = {{Plenoptic} 2.0 } {Synthetic} {datasets} - {Cubes} and {Shapes}},        author = {Fachada, Sarah and Bonatto, Daniele and Sancho, Jaime and Lafruit, Gauthier and Teratani, Mehrdad and Juárez, Eduardo},        month = jan,        year = {2025},        doi = {10.5281/zenodo.14728981}    }   

Production

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Belgium, 

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad, CITSEM, Universidad Politécnica de Madrid, Spain.

Content

This dataset contains two multiview scenes featuring simple geometric objects rendered using a Blender plenoptic addon for plenoptic cameras [1].The dataset additionally contains cameras.txt files with the parameters of the cameras.

The dataset contains

- `Cubes` and `Shapes` folder containing:  - TXT parameters  - Plenoptic images in PNG format  - Disparity maps in PNG format, encoded between 0 and 255 (the last number in the filenames indicates the maximum disparity)  - Micro-lens mask in PNG format

References and links

[1] https://github.com/Arne-Petersen/Plenoptic-Simulation

Acknowledgments

Sarah Fachada is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique - FNRS, Belgium. This work was supported in part by the HoviTron project (no. 951989), the FER 2021 project (no. 1060H000066-FAISAN), the Emile DEFAY 2021 project (no. 4R00H000236), and the FER 2023 project (no. 1060H000075). 

Additionally, this work has been funded by the project AIMS5.0, supported by the Chips Joint Undertaking and its members, including top-up funding by National Funding Authorities from involved countries (no. 101112089), and the European project STRATUM (no. 101137416). The robotic bench was funded by “Programa Propio UPM” in the call “convocatoria de ayudas a centros e institutos de I+D+i”.
DOI: 10.15468/dl.4jgpaf
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caquetaia kraussii (Steindachner, 1878)",
 "Year 2022-2025"
 ]
}

 The dataset includes 295 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000223-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr743w
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Chaetobranchopsis orbicularis (Steindachner, 1875), Chaetobranchus flavescens Heckel, 1840)"
 ]
}

 The dataset includes 605 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000224-250123221155621/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/10566339
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.z5w5xs
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000217-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzq6qt
title: Occurrence Download

description: A dataset containing 2598 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cichla ocellaris Bloch & Schneider, 1801, Cichla piquiti Kullander & Ferreira, 2006, Cichla pleiozona Kullander & Ferreira, 2006)"
 ]
}

 The dataset includes 2598 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000225-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akbvj3
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cichla ocellaris Bloch & Schneider, 1801, Cichla piquiti Kullander & Ferreira, 2006, Cichla pleiozona Kullander & Ferreira, 2006)",
 "Year 2020-2025"
 ]
}

 The dataset includes 595 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000226-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpgay6
title: Occurrence Download

description: A dataset containing 355508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-11-28",
 "EventDate is less than or equal to 2024-12-28",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 355508 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000194-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.