cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4nre9d
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valencia hispanica (Valenciennes, 1846)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1082 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021702-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12657330
title: STARS4Water climate indicators - tier 1

description: This dataset was generated as part of the Horizon Europe project STARS4Water, which is dedicated to collecting and providing access to existing and newly developed datasets for future water resources management. The data entails a set of indicators for assessing climate risks and impacts on integrated water resources systems. More datasets will be added later-on in the project. This first tier is a set of indicators that are directly derived from readily available datasets from e.g. the Copernicus Climate Data Store. The future projections are simplified by projecting them onto (sub)catchments and by reducing the numberof scenarios. This makes them easier to handle by river basin managers and for usages in dashboards.
DOI: 10.5281/zenodo.12657331
title: STARS4Water climate indicators - tier 1

description: This dataset was generated as part of the Horizon Europe project STARS4Water, which is dedicated to collecting and providing access to existing and newly developed datasets for future water resources management. The data entails a set of indicators for assessing climate risks and impacts on integrated water resources systems. More datasets will be added later-on in the project. This first tier is a set of indicators that are directly derived from readily available datasets from e.g. the Copernicus Climate Data Store. The future projections are simplified by projecting them onto (sub)catchments and by reducing the numberof scenarios. This makes them easier to handle by river basin managers and for usages in dashboards.
DOI: 10.5281/zenodo.15599187
title: STARS4Water climate indicators - tier 1

description: This dataset was generated as part of the Horizon Europe project STARS4Water, which is dedicated to collecting and providing access to existing and newly developed datasets for future water resources management. The data entails a set of indicators for assessing climate risks and impacts on integrated water resources systems. More datasets will be added later-on in the project. This first tier is a set of indicators that are directly derived from readily available datasets from e.g. the Copernicus Climate Data Store. The future projections are simplified by projecting them onto (sub)catchments and by reducing the numberof scenarios. This makes them easier to handle by river basin managers and for usages in dashboards.
DOI: 10.5281/zenodo.10691342
title: Dataset for Power Control in Cell-Free Massive MIMO

description: Description

This repository contains a dataset that represents the simulation of 12 distinct cell-free massive MIMO scenarios. Each scenario includes 20,000 setups, derived from a customized version of the MATLAB code package available here. The simulations take into account three power control optimization schemes: max-min Spectral Efficiency (SE) fairness, sum SE maximization, and Fractional Power Control (FPC).

The results for the simulation for each scenario are split across 20 MATLAB storage files ('power_control_part#.mat'), with each file encompassing 1,000 setups. Denoting the number of access points (APs) as L, the numer of user equipments (UEs ) as K, and the number of setups as M. The variables within these files are defined as follows:



'gainOverNoise': This is a [L x K x M] matrix that contains the large-scale fading coefficients.

'pk_UL_nopt_LPMMSE_X': This is a [K x M] matrix that includes the power coefficients with; (1) X = 'maxmin' for the max-min SE fairness, (2) X = 'sumSE' for the sum SE maximization, and (3) X = 'FPC' for the FPC power scheme.

'SE_UL_nopt_LPMMSE_X': This is a [K x M] matrix that includes the SE per UE with; (1) X = 'full' for all the UEs transmitting with maximum power, (2) X = 'maxmin' for the max-min SE fairness, (3) X = 'sumSE' for the sum SE maximization, and (4) X = 'FPC' for the FPC power scheme.

'bk_dist_X': This is a [K x M] matrix that represents the average channel gain of the desired signal with; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.

'ck_dist_X': This is a [K x K x M] matrix the represents the average channel gains for the respective interfering signals; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.

'sigma2_dist_XX': This is a [K x M] matrix the represents the effective noise variance; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.


Additonally, the file 'setup.mat' contains information about the simulated environment.

Please refer to the conference paper above for more detailed information about the simulations.

The simulation code is available here on GitHub for training and testing the DNN models.

Referencing

If you in any way use this dataset for research that results in publications, please cite our original article listed above.

G. García-Barrios, M. Fuentes, and D. Martín-Sacristán, “A Flexible Low-Complexity DNN Solution for Power Control in Cell-Free Massive MIMO,” in 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2024, pp. 1–6.

Acknowledgements

This work is supported by the grant from the Spanish ministry of economic affairs and digital transformation and of the European Union – NextGenerationEU [UNICO-5G I+D/AROMA3D-Earth] (TSI-063000-2021-69).
DOI: 10.5281/zenodo.10691343
title: Dataset for Power Control in Cell-Free Massive MIMO

description: Description

This repository contains a dataset that represents the simulation of 12 distinct cell-free massive MIMO scenarios. Each scenario includes 20,000 setups, derived from a customized version of the MATLAB code package available here. The simulations take into account three power control optimization schemes: max-min Spectral Efficiency (SE) fairness, sum SE maximization, and Fractional Power Control (FPC).

The results for the simulation for each scenario are split across 20 MATLAB storage files ('power_control_part#.mat'), with each file encompassing 1,000 setups. Denoting the number of access points (APs) as L, the numer of user equipments (UEs ) as K, and the number of setups as M. The variables within these files are defined as follows:



'gainOverNoise': This is a [L x K x M] matrix that contains the large-scale fading coefficients.

'pk_UL_nopt_LPMMSE_X': This is a [K x M] matrix that includes the power coefficients with; (1) X = 'maxmin' for the max-min SE fairness, (2) X = 'sumSE' for the sum SE maximization, and (3) X = 'FPC' for the FPC power scheme.

'SE_UL_nopt_LPMMSE_X': This is a [K x M] matrix that includes the SE per UE with; (1) X = 'full' for all the UEs transmitting with maximum power, (2) X = 'maxmin' for the max-min SE fairness, (3) X = 'sumSE' for the sum SE maximization, and (4) X = 'FPC' for the FPC power scheme.

'bk_dist_X': This is a [K x M] matrix that represents the average channel gain of the desired signal with; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.

'ck_dist_X': This is a [K x K x M] matrix the represents the average channel gains for the respective interfering signals; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.

'sigma2_dist_XX': This is a [K x M] matrix the represents the effective noise variance; (1) X = 'frac' for the FPC, and (2) X = 'full' for the rest of power control schemes.


Additonally, the file 'setup.mat' contains information about the simulated environment.

Please refer to the conference paper above for more detailed information about the simulations.

The simulation code is available here on GitHub for training and testing the DNN models.

Referencing

If you in any way use this dataset for research that results in publications, please cite our original article listed above.

G. García-Barrios, M. Fuentes, and D. Martín-Sacristán, “A Flexible Low-Complexity DNN Solution for Power Control in Cell-Free Massive MIMO,” in 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2024, pp. 1–6.

Acknowledgements

This work is supported by the grant from the Spanish ministry of economic affairs and digital transformation and of the European Union – NextGenerationEU [UNICO-5G I+D/AROMA3D-Earth] (TSI-063000-2021-69).
DOI: 10.15468/dl.n54eux
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanda alpina (Lindl.) Lindl."
 ]
}

 The dataset includes 37 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/52f7g56xsy
title: The Role of Digital Twin in Sustainable Business Transformation: A Case Study on Resource Optimization

description: This data is interview data with a resource person who has an important role in one of the tour and travel companies in Indonesia to see the analysis of business strategies in the digital era.
DOI: 10.17632/52f7g56xsy.1
title: The Role of Digital Twin in Sustainable Business Transformation: A Case Study on Resource Optimization

description: This data is interview data with a resource person who has an important role in one of the tour and travel companies in Indonesia to see the analysis of business strategies in the digital era.
DOI: 10.15468/dl.trugyh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "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 ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021706-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx4d7z
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.35_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrimonia L."
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021707-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/726kjn9hs4
title: SHIFTING GREEN MARKETING NARRATIVES: EDUCATION AND DIGITAL TECHNOLOGY BEFORE AND AFTER THE PANDEMIC

description: This data is taken from Scopus with the keywords green marketing, digital technology, and education before and after COVID-19
DOI: 10.17632/726kjn9hs4.1
title: SHIFTING GREEN MARKETING NARRATIVES: EDUCATION AND DIGITAL TECHNOLOGY BEFORE AND AFTER THE PANDEMIC

description: This data is taken from Scopus with the keywords green marketing, digital technology, and education before and after COVID-19
DOI: 10.17632/x26mrwm84v
title: The Digital Evolution of Green Innovation and Firm Sustainability: Insight from Pre and Post Pandemic Era

description: This data is taken from Scopus with the keywords green innovation and firm sustainability with a time span before and after COVID-19.
DOI: 10.17632/x26mrwm84v.1
title: The Digital Evolution of Green Innovation and Firm Sustainability: Insight from Pre and Post Pandemic Era

description: This data is taken from Scopus with the keywords green innovation and firm sustainability with a time span before and after COVID-19.
DOI: 10.6084/m9.figshare.29244731
title: nkholokolo samples (1).xlsx

description: Effect of frying and smoking on nutritional composition of Synodontis njassae from Lake Malawi
DOI: 10.6084/m9.figshare.29244731.v1
title: nkholokolo samples (1).xlsx

description: Effect of frying and smoking on nutritional composition of Synodontis njassae from Lake Malawi
DOI: 10.6084/m9.figshare.28512250.v1
title: A new species of <i>Urva</i> (Herpestidae, Carnivora) from late Upper Pleistocene deposits of East Fissure-Fillings, Fanchang, Anhui Province of Eastern China

description: Here we describe and erect a new species, <i>Urva fanchangensis</i>, from the middle or late Early Pleistocene of eastern Asia. <i>Urva fanchangensis</i> is the first known fossil species of the genus, and is a medium-sized member, characterized by moderately sized premolars, a robust P4 with a large parastyle and strong protocone, and transversely widened M1 and M2. It is closely related to the modern <i>U. urva</i> and <i>U. semitorquata</i>. Comparative studies suggest that <i>U. fanchangensis</i> is either the ancestor of <i>U. urva</i> or a common ancestor of <i>U. urva</i> and <i>U. semitorquata</i>. This species provides valuable information for estimating the divergence time of the genus as a node calibration, indicating that the divergence of <i>Urva</i> might occur more recently than previously thought.
DOI: 10.15468/dl.9zcgvq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021708-250525065834625/datasets/export for details.
DOI: 10.17632/fj7n66vghn
title: Simultaneous Estimation of Multi Elements Present In Godanti Bhasma by Using Inductive Coupled Plasma Optical Emission Spectroscopy (ICP-OES)

description: Simultaneous estimation of multi elements present in Godanti bhasma by using ICP-OES
DOI: 10.17632/fj7n66vghn.1
title: Simultaneous Estimation of Multi Elements Present In Godanti Bhasma by Using Inductive Coupled Plasma Optical Emission Spectroscopy (ICP-OES)

description: Simultaneous estimation of multi elements present in Godanti bhasma by using ICP-OES
DOI: 10.17632/86wjdp36mv
title: Mobbing raw data

description: English: This dataset, titled ""Mobbing Exposure Survey" consists of voluntarily collected survey responses where each row represents an individual respondent and the columns detail demographic information (gender, occupation, age group, marital status, education, work experience) as well as workplace mobbing incidents—including frequency, types of abusive behaviors, their impacts, and the presence of organizational policies aimed at prevention and support.
DOI: 10.17632/86wjdp36mv.1
title: Mobbing raw data

description: English: This dataset, titled ""Mobbing Exposure Survey" consists of voluntarily collected survey responses where each row represents an individual respondent and the columns detail demographic information (gender, occupation, age group, marital status, education, work experience) as well as workplace mobbing incidents—including frequency, types of abusive behaviors, their impacts, and the presence of organizational policies aimed at prevention and support.
DOI: 10.15468/dl.ehaxf2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021710-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8myjak
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 "TaxonKey is one of (Lepidosiren Fitzinger, 1837)"
 ]
}

 The dataset includes 303 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021711-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15598791
title: Re-analysis of 10 Hot-Jupiter Atmospheres with disequilibrium chemistry retrieval

description: Retrieval results and parameter files of retrieval calculations carried out with the coupled model TauREx-FRECKLL, for the study of Bardet et al., (2025) ``Re-analysis of 10 Hot-Jupiter Atmospheres with disequilibrium chemistry retrieval'', Astronomy & Astrophysics; in the scope of the EXACT project.  

Results and paramters files are sorted by planet, in dedicated sub-directories. In addition, we have added a stellar flux repository, as well as a photodissociation file containing photodissociation information needed for the retrieval calculation.
DOI: 10.5281/zenodo.15598792
title: Re-analysis of 10 Hot-Jupiter Atmospheres with disequilibrium chemistry retrieval

description: Retrieval results and parameter files of retrieval calculations carried out with the coupled model TauREx-FRECKLL, for the study of Bardet et al., (2025) ``Re-analysis of 10 Hot-Jupiter Atmospheres with disequilibrium chemistry retrieval'', Astronomy & Astrophysics; in the scope of the EXACT project.  

Results and paramters files are sorted by planet, in dedicated sub-directories. In addition, we have added a stellar flux repository, as well as a photodissociation file containing photodissociation information needed for the retrieval calculation.
DOI: 10.15468/dl.wdgwqv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus capensis (Smith, 1841)",
 "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 ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021712-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15516989
title: Enhanced Hourly Precipitation Estimation During the 2019 Summer Season

description: A satellite-ground fused precipitation dataset from June 1, 2019, at 23:00 to August 31, 2019, at 15:00 using a Geographically constrained multi-source Fusion Network with cross Attention (GeoFNA).
DOI: 10.5281/zenodo.15516990
title: Enhanced Hourly Precipitation Estimation During the 2019 Summer Season

description: A satellite-ground fused precipitation dataset from June 1, 2019, at 23:00 to August 31, 2019, at 15:00 using a Geographically constrained multi-source Fusion Network with cross Attention (GeoFNA).
DOI: 10.15468/dl.c6dw37
title: Occurrence Download

description: A dataset containing 4570956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Annelida",
 "Year 2000-2025"
 ]
}

 The dataset includes 4570956 records from 2439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021681-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzgg5a
title: Occurrence Download

description: A dataset listing the 10313895 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "Year is 2021"
 ]
}

 The dataset's 10313895 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025283-250811113504898/datasets/export for details.
DOI: 10.26188/29161703
title: Summary_areaburnt_26052025.csv

description: Average annual area burnt in hectares by wildfire in each region in Victoria Australia, under current and future climate
DOI: 10.26188/29161703.v1
title: Summary_areaburnt_26052025.csv

description: Average annual area burnt in hectares by wildfire in each region in Victoria Australia, under current and future climate
DOI: 10.15468/dl.vwr3nm
title: Occurrence Download

description: A dataset containing 300135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Peromyscus maniculatus (Wagner, 1845)"
 ]
}

 The dataset includes 300135 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014709-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15572369
title: РОЛЬ ВОЕННОЙ ПЕДАГОГИКИ И ПСИХОЛОГИИ В СЛУЖЕБНОЙ ДЕЯТЕЛЬНОСТИ ВОЕННОСЛУЖАЩИХ

description: В данной статье, наряду с обучением и воспитанием личного состава нашей Национальной Армии, рассматривается приобретение ряда факторов формирования психологической устойчивости в группе и привития навыков. Роль воспитания и подготовки и психологии в военной служебной деятельности военнослужащих.
DOI: 10.5281/zenodo.15572370
title: РОЛЬ ВОЕННОЙ ПЕДАГОГИКИ И ПСИХОЛОГИИ В СЛУЖЕБНОЙ ДЕЯТЕЛЬНОСТИ ВОЕННОСЛУЖАЩИХ

description: В данной статье, наряду с обучением и воспитанием личного состава нашей Национальной Армии, рассматривается приобретение ряда факторов формирования психологической устойчивости в группе и привития навыков. Роль воспитания и подготовки и психологии в военной служебной деятельности военнослужащих.