cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28255499.v1
title: camelidos5productionHapMap20220103.vcf

description: Proyect Title: GBS-Based Genetic Insights into Argentine Llama Populations and Breeding ImpactsAnlaysis: TASSEL 5.0v2 pipeline was used for extracting and calling SNPs (Bradbury et al., 2007; Glaubitz et al., 2014). Reference genome Camelus ferus (BCGSAC_Cfer_1.0), unplaced sequences and the mitochondrial genome were excluded from the alignment.Sample: all samples correspond to Lama glama from Argentina
DOI: 10.15468/dl.eq4hmh
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Echinocorys Leske, 1778"
 ]
}

 The dataset includes 648 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018377-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wz8c3
title: Occurrence Download

description: A dataset containing 345226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "DatasetKey is one of (International Barcode of Life project (iBOL), Museum of Comparative Zoology, Harvard University, INSDC Sequences, Centre for Biodiversity Genomics - Canadian Specimens, Denver Museum of Nature & Science - Arachnology, UAM Insect Collection (Arctos), Ohio State University Spider Collection, Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection, Illinois Natural History Survey Insect Collection)",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 345226 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018341-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmymq4
title: Occurrence Download

description: A dataset containing 843 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna y flora asociada a los planes de compensación ambiental de la línea de transmisión Nueva Esperanza, municipios de Bojacá y Guasca, departamento de Cundinamarca"
 ]
}

 The dataset includes 843 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018378-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14826614
title: SYMMETRIC CRYPTOGRAPHY
DOI: 10.5281/zenodo.14826615
title: SYMMETRIC CRYPTOGRAPHY
DOI: 10.15468/dl.ecnx56
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Ceriops tagal (Perr.) C.B.Rob.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 290 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018379-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv5y3p
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canthium scandens Blume"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018380-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ue76p
title: Occurrence Download

description: A dataset containing 3984 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Milvus milvus (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 36.285692670554845",
 "DecimalLatitude is less than or equal to 45.40012245958927",
 "DecimalLongitude is greater than or equal to 9.253608205317772",
 "DecimalLongitude is less than or equal to 19.089499639948606",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3984 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018381-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdqcxe
title: Occurrence Download

description: A dataset containing 5884 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bronchocela Kaup, 1827"
 ]
}

 The dataset includes 5884 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018382-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14826621
title: МЕСТО «ТАФСИР АЛ-МАЗХАРИ» СРЕДИ ИСТОЧНИКОВ ТАФСИРА
DOI: 10.5281/zenodo.14826622
title: МЕСТО «ТАФСИР АЛ-МАЗХАРИ» СРЕДИ ИСТОЧНИКОВ ТАФСИРА
DOI: 10.15468/dl.bbxnqh
title: Occurrence Download

description: A dataset containing 1082384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "DatasetKey is one of (Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The AAU Herbarium Database, NMNH Extant Specimen Records (USNM, US), Aarhus University Palm Transect Database, The New York Botanical Garden Herbarium (NY), Phanerogamic Botanical Collections (S), Colección plantas vasculares del Herbario Reinaldo Espinosa (Herbario LOJA) de la Universidad Nacional de Loja, Royal Botanic Gardens, Kew - Herbarium Specimens)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1082384 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018345-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b9zfq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alysson conicus Provancher, 1889",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018384-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14826593
title: Supporting data for evpv-simulator applied to Addis Ababa

description: Supporting code and data for the study about private vehicle electrification in Addis Ababa using the evpv-simulator model.
DOI: 10.5281/zenodo.14826594
title: Supporting data for evpv-simulator applied to Addis Ababa

description: Supporting code and data for the study about private vehicle electrification in Addis Ababa using the evpv-simulator model.
DOI: 10.5281/zenodo.13362933
title: TEFNET24: Reference Packet Optical Network Topology for Edge to Core Transport [Invited]

description: In this paper, we introduce TEFNET24, a reference multi-layer hierarchical network topology that spans from access to core networks, specifically designed to meet the demands of beyond-5G and and prepared for next-generation 6G communication systems. This topology, inspired by the actual network deployments of Telefónica in medium-sized countries in Europe and America, integrates both IP and optical (DWDM) layers to provide a comprehensive framework for network design, optimization, and analysis. Our primary contribution is the development of an open-source benchmarking network, accessible to both researchers and industry professionals. This resource aims to facilitate the study and advancement of integrated IP and optical networks, allowing researchers to address key challenges such as traffic aggregation, latency reduction, cost efficiency, and support for advanced applications. We provide guidelines for utilizing this benchmark network, enabling users to evaluate and enhance their solutions for AI-driven network management, ultra-reliable low-latency communication, enhanced mobile broadband, and massive machine-type communication. By sharing this detailed and practical benchmarking network, we seek to foster innovation and collaboration within the optical network community, driving forward the capabilities and performance of future communication networks.
DOI: 10.5281/zenodo.13362934
title: TEFNET24: Reference Packet Optical Network Topology for Edge to Core Transport [Invited]

description: In this paper, we introduce TEFNET24, a reference multi-layer hierarchical network topology that spans from access to core networks, specifically designed to meet the demands of beyond-5G and and prepared for next-generation 6G communication systems. This topology, inspired by the actual network deployments of Telefónica in medium-sized countries in Europe and America, integrates both IP and optical (DWDM) layers to provide a comprehensive framework for network design, optimization, and analysis. Our primary contribution is the development of an open-source benchmarking network, accessible to both researchers and industry professionals. This resource aims to facilitate the study and advancement of integrated IP and optical networks, allowing researchers to address key challenges such as traffic aggregation, latency reduction, cost efficiency, and support for advanced applications. We provide guidelines for utilizing this benchmark network, enabling users to evaluate and enhance their solutions for AI-driven network management, ultra-reliable low-latency communication, enhanced mobile broadband, and massive machine-type communication. By sharing this detailed and practical benchmarking network, we seek to foster innovation and collaboration within the optical network community, driving forward the capabilities and performance of future communication networks.
DOI: 10.5281/zenodo.14826618
title: TEFNET24: Reference Packet Optical Network Topology for Edge to Core Transport [Invited]

description: In this paper, we introduce TEFNET24, a reference multi-layer hierarchical network topology that spans from access to core networks, specifically designed to meet the demands of beyond-5G and and prepared for next-generation 6G communication systems. This topology, inspired by the actual network deployments of Telefónica in medium-sized countries in Europe and America, integrates both IP and optical (DWDM) layers to provide a comprehensive framework for network design, optimization, and analysis. Our primary contribution is the development of an open-source benchmarking network, accessible to both researchers and industry professionals. This resource aims to facilitate the study and advancement of integrated IP and optical networks, allowing researchers to address key challenges such as traffic aggregation, latency reduction, cost efficiency, and support for advanced applications. We provide guidelines for utilizing this benchmark network, enabling users to evaluate and enhance their solutions for AI-driven network management, ultra-reliable low-latency communication, enhanced mobile broadband, and massive machine-type communication. By sharing this detailed and practical benchmarking network, we seek to foster innovation and collaboration within the optical network community, driving forward the capabilities and performance of future communication networks.
DOI: 10.60555/pm12-rg61
title: Structure and Liftoff In Combustion Experiment
title: SLICE

description: Objective: The objective of this investigation is to better understand the structure and stability of laminar diffusion flames in microgravity.

Specific objectives of this investigation were:
1. To investigate the structure of laminar diffusion flames in microgravity to understand the stabilizing mechanisms at the flames base.
2. Determine the liftoff velocity limits for different fuels and burner diameters.
3. Evaluate the impact of fuel dilution with nitrogen on soot formation and flame stability.
4. Quantify the effects of microgravity on flame length and radiative heat loss compared to normal gravity conditions.
5. Validate numerical models for flame dynamics, soot production, and thermal radiation in non-premixed flames.
DOI: 10.15468/dl.eq467b
title: Occurrence Download

description: A dataset containing 5550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "OccurrenceStatus is Present",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year 1000-2025"
 ]
}

 The dataset includes 5550 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018385-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14826639
title: KOEFFITSIYENTI UZULISHGA EGA BO'LGAN YADROSIDA BESSEL FUNKSIYASI QATNASHGAN RIMAN-LIUVILL OPERATORINI O'Z ICHIGA OLUVCHI BIR ODDIY DIFFERENSIAL TENGLAMA UCHUN NOLAKAL SHARTLI  MASALA
DOI: 10.5281/zenodo.14826640
title: KOEFFITSIYENTI UZULISHGA EGA BO'LGAN YADROSIDA BESSEL FUNKSIYASI QATNASHGAN RIMAN-LIUVILL OPERATORINI O'Z ICHIGA OLUVCHI BIR ODDIY DIFFERENSIAL TENGLAMA UCHUN NOLAKAL SHARTLI  MASALA
DOI: 10.15468/dl.retruz
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Conocarpus erectus L.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 365 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018388-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10711819
title: Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction

description: This repository contains all the raw data and the code used to generate the figures of the article "Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction".



The plotting.ipynb notebook creates the majority of the figures. To run it you need to install proplot. Create a fresh python environment for it, since you might need to downgrade numpy to the 1.19.5 version and matplotlib to the 3.4.3 one. To install the relevant python packages and open the notebook you can download Anaconda and use the following terminal instructions:

conda create -n andreev-trimer python=3.10
conda activate andreev-trimer
conda install proplot
conda install jupyterlab xarray netcdf4 tqdm
jupyter lab
extraction-3D.ipynb extracts the charge degeneracy points from 3D charge stability diagram measurements. To run it you need to install scikit-image. If you want to export additional .gif images install imageio as well:

conda install scikit-image imageio


To visualize the 3D charge stability diagrams (Figure 5) you can use plotting-3D.ipynb. To run it you need to install pyvista. A dedicated environment is recommended. To install pyvista and run it with JupyterLab use the following instructions:

conda create -n pyvista python=3.9
conda activate pyvista
conda install nodejs
pip install jupyter pyvista trame
jupyter lab


Finally, simulations.ipynb computes all the theoretical simulations. To run it you need cython and you can install it in a dedicated environment using the following instructions:

conda create -n theory
conda activate theory
conda install jupyterlab matplotlib cython scipy
jupyter lab
DOI: 10.5281/zenodo.10711820
title: Supercurrent through an Andreev trimer

description: This repository contains all the raw data and the code used to generate the figures of the article "Supercurrent through an Andreev trimer".



The plotting.ipynb notebook creates the majority of the figures. To run it you need to install proplot. Create a fresh python environment for it, since you might need to downgrade numpy to the 1.19.5 version and matplotlib to the 3.4.3 one. To install the relevant python packages and open the notebook you can download Anaconda and use the following terminal instructions:

conda create -n andreev-trimer python=3.10
conda activate andreev-trimer
conda install proplot
conda install jupyterlab xarray netcdf4 tqdm
jupyter lab
extraction-3D.ipynb extracts the charge degeneracy points from 3D charge stability diagram measurements. To run it you need to install scikit-image. If you want to export additional .gif images install imageio as well:

conda install scikit-image imageio


To visualize the 3D charge stability diagrams (Figure 5) you can use plotting-3D.ipynb. To run it you need to install pyvista. A dedicated environment is recommended. To install pyvista and run it with JupyterLab use the following instructions:

conda create -n pyvista python=3.9
conda activate pyvista
conda install nodejs
pip install jupyter pyvista trame
jupyter lab


Finally, simulations.ipynb computes all the theoretical simulations. To run it you need cython and you can install it in a dedicated environment using the following instructions:

conda create -n theory
conda activate theory
conda install jupyterlab matplotlib cython scipy
jupyter lab
DOI: 10.5281/zenodo.14826592
title: Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction

description: This repository contains all the raw data and the code used to generate the figures of the article "Impact of Andreev Bound States within the Leads of a Quantum Dot Josephson Junction".



The plotting.ipynb notebook creates the majority of the figures. To run it you need to install proplot. Create a fresh python environment for it, since you might need to downgrade numpy to the 1.19.5 version and matplotlib to the 3.4.3 one. To install the relevant python packages and open the notebook you can download Anaconda and use the following terminal instructions:

conda create -n andreev-trimer python=3.10
conda activate andreev-trimer
conda install proplot
conda install jupyterlab xarray netcdf4 tqdm
jupyter lab
extraction-3D.ipynb extracts the charge degeneracy points from 3D charge stability diagram measurements. To run it you need to install scikit-image. If you want to export additional .gif images install imageio as well:

conda install scikit-image imageio


To visualize the 3D charge stability diagrams (Figure 5) you can use plotting-3D.ipynb. To run it you need to install pyvista. A dedicated environment is recommended. To install pyvista and run it with JupyterLab use the following instructions:

conda create -n pyvista python=3.9
conda activate pyvista
conda install nodejs
pip install jupyter pyvista trame
jupyter lab


Finally, simulations.ipynb computes all the theoretical simulations. To run it you need cython and you can install it in a dedicated environment using the following instructions:

conda create -n theory
conda activate theory
conda install jupyterlab matplotlib cython scipy
jupyter lab
DOI: 10.15468/dl.n25g52
title: Occurrence Download

description: A dataset containing 21456 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dugong dugon (Müller, 1776)"
 ]
}

 The dataset includes 21456 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018387-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g7c9b
title: Occurrence Download

description: A dataset containing 1592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chromolaena odorata (L.) R.M.King & H.Rob.",
 "Year 2015-2025"
 ]
}

 The dataset includes 1592 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018389-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w6bzz
title: Occurrence Download

description: A dataset containing 15743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameiva ameiva (Linnaeus, 1758)"
 ]
}

 The dataset includes 15743 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018386-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.