cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30024013
title: The Experimental Setup Data Set

description: High peak-hour energy consumption from air conditioning in commercial buildings creates significant operational costs and grid instability. This study experimentally investigates the thermo-economic performance of a vapor compression refrigeration system (VCR) ice storage system to address this challenge through load-shifting. The methodology involved operating a custom test rig, featuring an insulated test chamber and an ice tank with a novel spiral evaporator, under an improved 8-hour night charging and 9-hour day discharge strategy. Results show the system consumed 5.44 kWh of electricity to store 7.70 kWh of thermal energy, achieving a charging Coefficient of Performance (COP) of 1.42. A total of 5.195 kWh of cooling was delivered with a discharge efficiency of 67.5%. The experimental cost analysis confirmed an approximate 20% operating cost advantage over conventional direct cooling. A simple payback assessment indicates strong sensitivity to tariff structures and annual operating days. This study concludes that the optimized Ice Storage System (ISS) is a technically viable and economically advantageous solution for managing peak cooling loads, providing a validated reference model and dataset for future work.
DOI: 10.6084/m9.figshare.30024013.v1
title: The Experimental Setup Data Set

description: High peak-hour energy consumption from air conditioning in commercial buildings creates significant operational costs and grid instability. This study experimentally investigates the thermo-economic performance of a vapor compression refrigeration system (VCR) ice storage system to address this challenge through load-shifting. The methodology involved operating a custom test rig, featuring an insulated test chamber and an ice tank with a novel spiral evaporator, under an improved 8-hour night charging and 9-hour day discharge strategy. Results show the system consumed 5.44 kWh of electricity to store 7.70 kWh of thermal energy, achieving a charging Coefficient of Performance (COP) of 1.42. A total of 5.195 kWh of cooling was delivered with a discharge efficiency of 67.5%. The experimental cost analysis confirmed an approximate 20% operating cost advantage over conventional direct cooling. A simple payback assessment indicates strong sensitivity to tariff structures and annual operating days. This study concludes that the optimized Ice Storage System (ISS) is a technically viable and economically advantageous solution for managing peak cooling loads, providing a validated reference model and dataset for future work.
DOI: 10.15468/dl.gyjtm5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla fragarioides"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016068-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16999787
title: 2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT: DATASET

description: *********************************************** README.txt **************************************************

 

Title:                      2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT: DATASET

Version:                    1.0

Date of Release:            2025/08/30

Identifier:                 DOI 10.5281/zenodo.16999786

(last version DOI 10.5281/zenodo.16999786)

Permalink:                  http://dx.doi.org/10.5281/zenodo.16999786

(last version http://dx.doi.org/10.5281/zenodo.16999786)

 

*************************************************************************************************************

 

Associated publication:     I. Royo-Silvestre et al. "2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT"

(White paper included in this dataset)                             

 

Suggested citation:         Please reference the associated publication above when using any datasets or

                              materials described in this README file.

 

Contact information:        Isaac Royo Silvestre, 

Universidad Pública de Navarra, 

Pamplona, Spain, 

isaac.royo@unavarra.es

 

Dates of data collection:   2025

 

 

Funding sources:            This work is funded by Spanish Agencia Estatal de Investigación and Ministerio 

de Ciencia e Innovación MCIN/AEI/ 10.13039/501100011033 and 

by "European Union NextGenerationEU/PRTR, project TED2021-130884B-I00.

Open access funding partially provided by Universidad Pública de Navarra.

 

License:                    CC BY 4.0

 

------------------------------------------------------------------------------------------------------------

 

This directory contains the following files:

 

 

    --------------------------------

    FILES

    --------------------------------

 

    - HAR4BEST 2dof vibration harvester report.pdf: White paper detailing the project's work on this kind of harvesters, simulation and experiments

 

    - harvesterop.m Matlab functions library used by other scripts in this dataset and even other scripts of the HAR4BEST Project

 

    - harvester_2dof_check.m Matlab script to calculate the equilibrium points of a 2dof harvester and inspect the Force curves

 

    - one_dof_simulation_excited_base.m Matlab script to numerically simulate the transient behaviour of a 1 dof mass spring system akin the 1 dof harvesters of the Project

 

    - two_dof_simulation_excited_base.m Matlab script to numerically simulate the transient behaviour of a 2 dof mass spring system akin the 2 dof harvesters of the Project

 

 

 

Refer to the original manuscript (see above) for additional information regarding the collection and generation of these data.

 

Each script contains documentation and instructions.

 

------------------------------------------------------------------------------------------------------------

 
description: This work is funded by Spanish Agencia Estatal de Investigación and Ministerio de Ciencia e Innovación MCIN/AEI/ 10.13039/501100011033 and by "European Union NextGenerationEU/PRTR, project TED2021-130884B-I00.
DOI: 10.5281/zenodo.16999786
title: 2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT: DATASET

description: *********************************************** README.txt **************************************************

 

Title:                      2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT: DATASET

Version:                    1.0

Date of Release:            2025/08/30

Identifier:                 DOI 10.5281/zenodo.16999786

(last version DOI 10.5281/zenodo.16999786)

Permalink:                  http://dx.doi.org/10.5281/zenodo.16999786

(last version http://dx.doi.org/10.5281/zenodo.16999786)

 

*************************************************************************************************************

 

Associated publication:     I. Royo-Silvestre et al. "2DOF VIBRATION LEVITATION-BASED HARVESTER REPORT"

(White paper included in this dataset)                             

 

Suggested citation:         Please reference the associated publication above when using any datasets or

                              materials described in this README file.

 

Contact information:        Isaac Royo Silvestre, 

Universidad Pública de Navarra, 

Pamplona, Spain, 

isaac.royo@unavarra.es

 

Dates of data collection:   2025

 

 

Funding sources:            This work is funded by Spanish Agencia Estatal de Investigación and Ministerio 

de Ciencia e Innovación MCIN/AEI/ 10.13039/501100011033 and 

by "European Union NextGenerationEU/PRTR, project TED2021-130884B-I00.

Open access funding partially provided by Universidad Pública de Navarra.

 

License:                    CC BY 4.0

 

------------------------------------------------------------------------------------------------------------

 

This directory contains the following files:

 

 

    --------------------------------

    FILES

    --------------------------------

 

    - HAR4BEST 2dof vibration harvester report.pdf: White paper detailing the project's work on this kind of harvesters, simulation and experiments

 

    - harvesterop.m Matlab functions library used by other scripts in this dataset and even other scripts of the HAR4BEST Project

 

    - harvester_2dof_check.m Matlab script to calculate the equilibrium points of a 2dof harvester and inspect the Force curves

 

    - one_dof_simulation_excited_base.m Matlab script to numerically simulate the transient behaviour of a 1 dof mass spring system akin the 1 dof harvesters of the Project

 

    - two_dof_simulation_excited_base.m Matlab script to numerically simulate the transient behaviour of a 2 dof mass spring system akin the 2 dof harvesters of the Project

 

 

 

Refer to the original manuscript (see above) for additional information regarding the collection and generation of these data.

 

Each script contains documentation and instructions.

 

------------------------------------------------------------------------------------------------------------

 
description: This work is funded by Spanish Agencia Estatal de Investigación and Ministerio de Ciencia e Innovación MCIN/AEI/ 10.13039/501100011033 and by "European Union NextGenerationEU/PRTR, project TED2021-130884B-I00.
DOI: 10.15468/dl.ptqv6x
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea paniculata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016072-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17020443
title: Hydro-Catalytic Reclamation (HCR): A Perspective on Simultaneous Water Purification and Hydrogen Generation Using Magnetically Recoverable GQD-TiO₂ Nanocomposites

description: The twin crises of water scarcity and clean energy demand an integrated approach to resource management. This perspective introduces the Hydro-Catalytic Reclamation (HCR) framework, a visionary solar-powered approach for concurrent wastewater purification and hydrogen fuel production. At its core is a multifunctional nanocomposite catalyst of titanium dioxide (TiO\textsubscript{2}) sensitized by Graphene Quantum Dots (GQDs) with a magnetic Fe\textsubscript{3}O\textsubscript{4} core. This architecture enables broad-spectrum light harvesting for two simultaneous processes: (1) the photocatalytic degradation of persistent pollutants, microplastics, and pathogens into benign products; and (2) the photoelectrochemical splitting of water to generate high-purity hydrogen. Drawing on recent advances in nanomaterial design, this article surveys the state of the art, provides mechanistic insights, addresses key engineering challenges, and outlines future directions, positioning HCR as a paradigm-shifting solution that transforms wastewater from a liability into a valuable asset for global sustainability.
DOI: 10.5281/zenodo.17020444
title: Hydro-Catalytic Reclamation (HCR): A Perspective on Simultaneous Water Purification and Hydrogen Generation Using Magnetically Recoverable GQD-TiO₂ Nanocomposites

description: The twin crises of water scarcity and clean energy demand an integrated approach to resource management. This perspective introduces the Hydro-Catalytic Reclamation (HCR) framework, a visionary solar-powered approach for concurrent wastewater purification and hydrogen fuel production. At its core is a multifunctional nanocomposite catalyst of titanium dioxide (TiO\textsubscript{2}) sensitized by Graphene Quantum Dots (GQDs) with a magnetic Fe\textsubscript{3}O\textsubscript{4} core. This architecture enables broad-spectrum light harvesting for two simultaneous processes: (1) the photocatalytic degradation of persistent pollutants, microplastics, and pathogens into benign products; and (2) the photoelectrochemical splitting of water to generate high-purity hydrogen. Drawing on recent advances in nanomaterial design, this article surveys the state of the art, provides mechanistic insights, addresses key engineering challenges, and outlines future directions, positioning HCR as a paradigm-shifting solution that transforms wastewater from a liability into a valuable asset for global sustainability.
DOI: 10.6084/m9.figshare.30024085
title: Systematic Review and Meta-Analysis of UV-C Viral Inactivation: Mechanistic, Environmental, and Terminological Insights

description: This systematic review and meta-analysis evaluated ultraviolet-C (UV-C, 100–280 nm) irradiation for viral inactivation in liquid media as an environmentally sustainable, non-chemical strategy for research and health infrastructure. Included studies reported viral strain identification, baseline titers (PFU or TCID₅₀), UV-C wavelength, dosage, and log reductions, excluding studies subjected to alternative treatments. We searched (PubMed, Ovid Medline, Scopus, Embase, Web of Science; April 10, 2024) identified 2,813 records, of which 33 met inclusion criteria. Risk of bias was assessed using ROBINS-I V2 to evaluate methodological rigor and inform improved reporting. Narrative synthesis summarized findings across viruses, while meta-analysis focused on 16 SARS-CoV-2 studies with standardized reporting. Meta-regression revealed a strong dose–response relationship (log_dose β = 3.382, 95% CI [2.946, 3.817], p &lt; 0.001) with low heterogeneity (I² = 15.1%). Strain and wavelength-specific efficacy peaked at 267 nm (β = 6.418) and 275 nm (β = 3.776), while 253.7 nm offered structural preservation for downstream applications. Limitations included inconsistent dose reporting, matrix effects, and assay sensitivity. We propose a refined reporting framework and standard definitions for ‘inactivation,’ ‘disinfection,’ and ‘complete inactivation.’ Findings support reproducible UV-C evaluation, regulatory alignment, and safe implementation in pathogen control, biosafety, and water treatment.
DOI: 10.6084/m9.figshare.30024085.v1
title: Systematic Review and Meta-Analysis of UV-C Viral Inactivation: Mechanistic, Environmental, and Terminological Insights

description: This systematic review and meta-analysis evaluated ultraviolet-C (UV-C, 100–280 nm) irradiation for viral inactivation in liquid media as an environmentally sustainable, non-chemical strategy for research and health infrastructure. Included studies reported viral strain identification, baseline titers (PFU or TCID₅₀), UV-C wavelength, dosage, and log reductions, excluding studies subjected to alternative treatments. We searched (PubMed, Ovid Medline, Scopus, Embase, Web of Science; April 10, 2024) identified 2,813 records, of which 33 met inclusion criteria. Risk of bias was assessed using ROBINS-I V2 to evaluate methodological rigor and inform improved reporting. Narrative synthesis summarized findings across viruses, while meta-analysis focused on 16 SARS-CoV-2 studies with standardized reporting. Meta-regression revealed a strong dose–response relationship (log_dose β = 3.382, 95% CI [2.946, 3.817], p &lt; 0.001) with low heterogeneity (I² = 15.1%). Strain and wavelength-specific efficacy peaked at 267 nm (β = 6.418) and 275 nm (β = 3.776), while 253.7 nm offered structural preservation for downstream applications. Limitations included inconsistent dose reporting, matrix effects, and assay sensitivity. We propose a refined reporting framework and standard definitions for ‘inactivation,’ ‘disinfection,’ and ‘complete inactivation.’ Findings support reproducible UV-C evaluation, regulatory alignment, and safe implementation in pathogen control, biosafety, and water treatment.
DOI: 10.15468/dl.bcjjfg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea paniculata",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016073-250827131500795/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.30024010
title: All Code and MoCap data for Cutaneous Rectilinear Algorithm tests

description: Supporting Data for paper describing and testing Cutaneous Rectilinear Algorithm
DOI: 10.6084/m9.figshare.30024010.v1
title: All Code and MoCap data for Cutaneous Rectilinear Algorithm tests

description: Supporting Data for paper describing and testing Cutaneous Rectilinear Algorithm
DOI: 10.5281/zenodo.15690226
title: "Basisklassifikation" (BK) Training Dataset for Automatic Subject Indexing

description: This is a training dataset for automatic subject indexing containing more than 6 Mio. titles and their corresponding subjects (classes) from the "Basisklassifikation" (BK). Initially introduced in the 1980s, today the Basisklassifikation constitutes one of the most widely used classification system for subject indexing within the Berlin State Library. As of August 2024, around 11% of all of the works (~8.7 Mio. titles) included in the K10plus catalogue – the union catalogue of the German library networks GBV and SWB – have already received BK notations. The dataset consists of files in .tsv format, intended to be used together with the Annif tool for automatic subject indexing and a vocabulary file of the BK (see BK Download). In this way, Annif models for the prediction of BK classes have been trained which can be accessed via the Staatsbibliothek zu Berlin – Preußischer Kulturbesitz community at HuggingFace.

The dataset was created by the team of the research project "Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe" at Berlin State Library (SBB) which was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. More specifically, it was created in the context of sub-project 3 "AI-supported content analysis and subject indexing".
DOI: 10.5281/zenodo.15690227
title: "Basisklassifikation" (BK) Training Dataset for Automatic Subject Indexing

description: This is a training dataset for automatic subject indexing containing more than 6 Mio. titles and their corresponding subjects (classes) from the "Basisklassifikation" (BK). Initially introduced in the 1980s, today the Basisklassifikation constitutes one of the most widely used classification system for subject indexing within the Berlin State Library. As of August 2024, around 11% of all of the works (~8.7 Mio. titles) included in the K10plus catalogue – the union catalogue of the German library networks GBV and SWB – have already received BK notations. The dataset consists of files in .tsv format, intended to be used together with the Annif tool for automatic subject indexing and a vocabulary file of the BK (see BK Download). In this way, Annif models for the prediction of BK classes have been trained which can be accessed via the Staatsbibliothek zu Berlin – Preußischer Kulturbesitz community at HuggingFace.

The dataset was created by the team of the research project "Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe" at Berlin State Library (SBB) which was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. More specifically, it was created in the context of sub-project 3 "AI-supported content analysis and subject indexing".
DOI: 10.15468/dl.74prqa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla fragarioides"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016076-250827131500795/datasets/export for details.
DOI: 10.15468/dl.j6ynk5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea paniculata",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016074-250827131500795/datasets/export for details.
DOI: 10.15468/dl.37762b
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felicia merxmuelleri",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016075-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktszn9
title: Occurrence Download

description: A dataset containing 1288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centroselachus crepidater"
 ]
}

 The dataset includes 1288 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016077-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frm4m9
title: Occurrence Download

description: A dataset containing 1081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synurus pungens"
 ]
}

 The dataset includes 1081 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016078-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17015205
title: NASCAR: (Non-)Actionable Static Code Analysis Reports

description: NASCAR is a dataset of more than 1 million non-actionable and actionable static analysis tool reports. For more details check the readme.
DOI: 10.15468/dl.fmsj78
title: Occurrence Download

description: A dataset containing 34066101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 34066101 records from 5061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015933-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4yrdh
title: Occurrence Download

description: A dataset containing 4548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Asthenes dorbignyi (Reichenbach, 1853)"
 ]
}

 The dataset includes 4548 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281080-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xijeqh
title: Occurrence Download

description: A dataset containing 880088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is greater than 33.2677631376037",
 "DecimalLatitude is less than 34.4295186085957",
 "DecimalLongitude is greater than -120.689559340757",
 "DecimalLongitude is less than -118.792444848211"
 ]
}

 The dataset includes 880088 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007600-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.