cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7bmfgkkm3z.1
title: CBCovid19EC: A dataset Complete Blood Count and PCR test for COVID-19 detection in Ecuadorian population

description: The data set presents information from PCR as a commonly used test for diagnosing SARS-Cov-2 infection by obtaining a positive or negative result for Covid-19. The CBCovid19EC dataset includes values from the hemogram examination, describing blood components measured in men and women from 7 to 82 years of age. The blood biometry tests were performed in private laboratories in Quito, with samples taken from patients from different provinces of Ecuador. The patients agreed to share their data by participating in this study. In total, 377 records included data on age, gender, and date of sample collection for PCR and CBC examination.
DOI: 10.17632/7bmfgkkm3z.2
title: CBCovid19EC: A dataset Complete Blood Count and PCR test for COVID-19 detection in Ecuadorian population

description: The data set presents information from PCR as a commonly used test for diagnosing SARS-Cov-2 infection by obtaining a positive or negative result for Covid-19. The CBCovid19EC dataset includes values from the hemogram examination, describing blood components measured in men and women from 7 to 82 years of age. The blood biometry tests were performed in private laboratories in Quito, with samples taken from patients from different provinces of Ecuador. The patients agreed to share their data by participating in this study. In total, 377 records included data on age, gender, and date of sample collection for PCR and CBC examination.
DOI: 10.17632/27xfxhw5x4.1
title: LINF_340011700

description: enoyl-[acyl-carrier-protein] reductase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/vdr2t2dnx6.1
title: LINF_340011500

description: nuclear cap binding complex subunit CBP110 | CBP110
Leishmania infantum (strain JPCM5)
DOI: 10.17632/z9wxsrg6bh.1
title: LINF_340011400

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4dv36cwjbn.1
title: LINF_340011200

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zwck97zw4k.1
title: cnf1+pks in ApcMin/+ mice

description: Colorectal cancer (CRC) patients are frequently colonized by colibactin-producing Escherichia coli (CoPEC) (>40%), which enhances tumorigenesis in mouse models of CRC. We observed that 50% of CoPEC also contains the cnf1 gene, which encodes cytotoxic necrotizing factor-1 (CNF1), an enhancer of the eukaryotic cell cycle. 
The study "Cytotoxic necrotizing factor 1 hinders colon tumorigenesis induced by colibactin-producing Escherichia coli in ApcMin/+ mice" provides evidence that CNF1 decreases the carcinogenic effects of CoPEC in ApcMin/+ mice by decreasing CoPEC-induced cellular senescence and inflammation.
Raw data from mice and  cells culture used in the study. Raw patient data used in the study were obtained from previous studies of laboratory. Data specifically used are provided.
DOI: 10.17632/72ctwjp566.1
title: Metabolomics Raw Data

description: Metabolomics Raw Data for the manuscript "Metabolomics Identifies a Panel of Diagnostic Biomarkers for Early Human Embryonic Development Arrest" (Manuscript ID: pr-2022-00482k) submitted to Journal of Proteome Research.
DOI: 10.17632/c6yg37mhb4.1
title: New Jersey COVID-19 Municipal Dataset

description: In New Jersey, it has been difficult to obtain official data about the number of positive COVID-19 tests in each municipality. However, many county health departments and other public sources report the number of confirmed COVID-19 cases in municipalities each day. On April 22, 2020, Senator Walter Rand Institute for Public Affairs at Rutgers University began tracking these sources.

This dataset is the number of confirmed COVID-19 cases in municipalities throughout New Jersey on April 27, 2020; June 30, 2020; and December 13, 2020.

For more information, please use the following link:
https://rcit.rutgers.edu/apps/walter-rand/covid/
DOI: 10.17632/c6yg37mhb4.2
title: New Jersey COVID-19 Municipal Dataset

description: In New Jersey, it has been difficult to obtain official data about the number of positive COVID-19 tests in each municipality. However, many county health departments and other public sources report the number of confirmed COVID-19 cases in municipalities each day. On April 22, 2020, Senator Walter Rand Institute for Public Affairs at Rutgers University began tracking these sources.

This dataset is the number of confirmed COVID-19 cases in municipalities throughout New Jersey on April 27, 2020; June 30, 2020; and December 13, 2020.

For more details and contact information, please use the following link:
https://rcit.rutgers.edu/apps/walter-rand/covid/

Please use the Data in Brief report to cite the dataset or cite the technical documentation below—[Allred, S. R., Yadav, A., Wang, Y., Pletcher, R., Harig, T., Rudolph, B., Sharma, S., Rankin, E., Yan, S., Ummulkhayer, S., Arthur, G., Saxena, S., & Greenfield, E. A. (2021). Municipal variations in COVID-19 case rates in New Jersey: Technical documentation].
DOI: 10.17632/c6yg37mhb4.3
title: New Jersey COVID-19 Municipal Dataset

description: In New Jersey, it has been difficult to obtain official data about the number of positive COVID-19 tests in each municipality. However, many county health departments and other public sources report the number of confirmed COVID-19 cases in municipalities each day. On April 22, 2020, Senator Walter Rand Institute for Public Affairs at Rutgers University began tracking these sources.

This dataset is the number of confirmed COVID-19 cases in municipalities throughout New Jersey on April 27, 2020; June 30, 2020; and December 13, 2020.

For more details and contact information, please use the following link:
https://rcit.rutgers.edu/apps/walter-rand/covid/

Please use the Data in Brief report to cite the dataset or cite the technical documentation below—[Allred, S. R., Yadav, A., Wang, Y., Pletcher, R., Harig, T., Rudolph, B., Sharma, S., Rankin, E., Yan, S., Ummulkhayer, S., Arthur, G., Saxena, S., & Greenfield, E. A. (2021). Municipal variations in COVID-19 case rates in New Jersey: Technical documentation].
DOI: 10.17632/9gx7272m3r.1
title: Supplemental material

description: Supplemental material to: Adalimumab in conjunction with surgery compared with adalimumab monotherapy for Hidradenitis Suppurativa; a randomized controlled trial in a real-world setting
DOI: 10.17632/rzntt4sdj5.1
title: Oren et al 2021 

description: Spot analysis - CGFS
DOI: 10.17632/yb32cgyww4.1
title: Effects of increased sodium concentration on the re-distribution of calcium and magnesium in different media in Taihu Lake, China

description: Taihu Lake, the third largest freshwater lake in China, has experienced rapid salinization in the past decades, however, little is known about its impact on the distribution of base cations (especially Ca and Mg) in the lake environment. In this work, the adsorption-exchange experiment was conducted using the sediment from Taihu Lake mixed with the Na solution with different concentrations. the experimental and the MINTEQ model data was used to quantitatively explain this exchange process and compared with the actual Taihu environment. The datea showed that Taihu exist obvious cation exchange process caused by salinization, and this process could alter on the distribution of Ca and Mg between the water and sediment in the lake, especially in water; i.e., elevated Na concentration can significantly increase Ca and Mg concentration in the solution, with Ca being preferably exchanged over Mg from the sediment, and the reason for this ionic preference could be attributed to the exchange affinity between base cations by MINTEQ.
DOI: 10.5281/zenodo.7435618
title: Dataset supporting publication: "Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city"

description: Dataset supporting publication: “Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city” (publication available for download: GEOFIT Zenodo) Datasets resulting from monitoring activities of Sant'Apollinare systems and climatic parameters inside and outside the building (post-intervention monitoring). The article presents the data collected through an extensive research work conducted in a historic hilly town in central Italy during the period 2016-2017. Data concern two different datasets: long-term hygrothermal histories collected in two specific positions of the town object of the research, and three environmental transects collected following on foot the same designed path at three different time of the same day, i.e. during a heat wave event in summer. The short-term monitoring campaign is carried out by means of an innovative wearable weather station specifically developed by the authors and settled upon a bike helmet. Data provided within the short-term monitoring campaign are analysed by computing the apparent temperature, a direct indicator of human thermal comfort in the outdoors. All provided environmental data are geo-referenced. These data are used in order to examine the intra-urban microclimate variability. Outcomes from both long- and short-term monitoring campaigns allow to confirm the existing correlation between the urban forms and functionalities and the corresponding local microclimate conditions, also generated by anthropogenic actions. In detail, higher fractions of built surfaces are associated to generally higher temperatures as emerges by comparing the two long-term air temperature data series, i.e. temperature collected at point 1 is higher than temperature collated at point 2 for the 75% of the monitored period with an average of þ2.8 [1]C. Furthermore, gathered environmental transects demonstrate the high variability of the main environmental parameters below the Urban Canopy. Diversification of the urban thermal behaviour leads to a computed apparent temperature range in between 33.2 [1]C and 46.7 [1]C at 2 p.m. along the monitoring path. Reuse of these data may be helpful for further investigating interesting correlations among urban configuration, anthropogenic actions and microclimate variables affecting outdoor comfort. Additionally, the proposed dataset may be compared to other similar datasets collected in other urban contexts around the world. Finally, it can be compared to other monitoring methodologies such as weather stations and satellite measurements available in the location at the same time.
DOI: 10.5281/zenodo.7435619
title: Dataset supporting publication: "Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city"

description: Dataset supporting publication: “Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city” (publication available for download: GEOFIT Zenodo) Datasets resulting from monitoring activities of Sant'Apollinare systems and climatic parameters inside and outside the building (post-intervention monitoring). The article presents the data collected through an extensive research work conducted in a historic hilly town in central Italy during the period 2016-2017. Data concern two different datasets: long-term hygrothermal histories collected in two specific positions of the town object of the research, and three environmental transects collected following on foot the same designed path at three different time of the same day, i.e. during a heat wave event in summer. The short-term monitoring campaign is carried out by means of an innovative wearable weather station specifically developed by the authors and settled upon a bike helmet. Data provided within the short-term monitoring campaign are analysed by computing the apparent temperature, a direct indicator of human thermal comfort in the outdoors. All provided environmental data are geo-referenced. These data are used in order to examine the intra-urban microclimate variability. Outcomes from both long- and short-term monitoring campaigns allow to confirm the existing correlation between the urban forms and functionalities and the corresponding local microclimate conditions, also generated by anthropogenic actions. In detail, higher fractions of built surfaces are associated to generally higher temperatures as emerges by comparing the two long-term air temperature data series, i.e. temperature collected at point 1 is higher than temperature collated at point 2 for the 75% of the monitored period with an average of þ2.8 [1]C. Furthermore, gathered environmental transects demonstrate the high variability of the main environmental parameters below the Urban Canopy. Diversification of the urban thermal behaviour leads to a computed apparent temperature range in between 33.2 [1]C and 46.7 [1]C at 2 p.m. along the monitoring path. Reuse of these data may be helpful for further investigating interesting correlations among urban configuration, anthropogenic actions and microclimate variables affecting outdoor comfort. Additionally, the proposed dataset may be compared to other similar datasets collected in other urban contexts around the world. Finally, it can be compared to other monitoring methodologies such as weather stations and satellite measurements available in the location at the same time.
DOI: 10.5281/zenodo.7435584
title: Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol"

description: Dataset supporting publication: “A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol” (publication available for download: GEOFIT Zenodo) Datasets resultant from simulation of the integrated system into buildings. Conference paper presented in IBPSA-England Building Simulation and Optimisation Conference 2020 This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a Resistor-Capacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters’ needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.
DOI: 10.5281/zenodo.7435583
title: Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol"

description: Dataset supporting publication: “A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol” (publication available for download: GEOFIT Zenodo) Datasets resultant from simulation of the integrated system into buildings. Conference paper presented in IBPSA-England Building Simulation and Optimisation Conference 2020 This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a Resistor-Capacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters’ needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.
DOI: 10.5281/zenodo.7435524
title: Dataset supporting publication: "Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia"

description: Dataset supporting publication:“Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia” (publication available for download: GEOFIT Zenodo) Italian cities are mainly constituted by buildings constructed until the mid-20th century by pre-industrial construction techniques. A HVAC system for the energy retrofit of historical buildings is evaluated when applied in the case study of Sant’Apollinare. It consists of a ground source heat pump a water tank for thermal energy storage connected to a low-temperature radiant system and air handling unit. The building thermal-energy behavior, typically influenced by thermal inertia in historical buildings, and the novel HVAC system performance interactions are comparatively assessed together with more traditional scenarios. Energy demand decreases by about one third compared to the pre-retrofit situation.
DOI: 10.5281/zenodo.7435525
title: Dataset supporting publication: "Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia"

description: Dataset supporting publication:“Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia” (publication available for download: GEOFIT Zenodo) Italian cities are mainly constituted by buildings constructed until the mid-20th century by pre-industrial construction techniques. A HVAC system for the energy retrofit of historical buildings is evaluated when applied in the case study of Sant’Apollinare. It consists of a ground source heat pump a water tank for thermal energy storage connected to a low-temperature radiant system and air handling unit. The building thermal-energy behavior, typically influenced by thermal inertia in historical buildings, and the novel HVAC system performance interactions are comparatively assessed together with more traditional scenarios. Energy demand decreases by about one third compared to the pre-retrofit situation.
DOI: 10.5281/zenodo.7435469
title: Dataset supporting publication: "Geothermal Power: Monitoring the Building Response During Installation"

description: Dataset supporting publication: “Geothermal Power: Monitoring the Building Response During Installation” (publication available for download: GEOFIT Zenodo) The European project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retrofitting) is gathering more than 20 partners from all around Europe. Its main objective is to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods. This contribution reports the experimental results to be achieved within GEOFIT at the location of specific case studies. In particular standard accelerometric measurements will be collected and compared with the information collected by the geo-radar system made available by one of the partners. This paper focuses on the structural monitoring of a two-story masonry building. The results of a preliminary data collection in the absence of drilling are also reported.
DOI: 10.5281/zenodo.7435470
title: Dataset supporting publication: "Geothermal Power: Monitoring the Building Response During Installation"

description: Dataset supporting publication: “Geothermal Power: Monitoring the Building Response During Installation” (publication available for download: GEOFIT Zenodo) The European project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retrofitting) is gathering more than 20 partners from all around Europe. Its main objective is to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods. This contribution reports the experimental results to be achieved within GEOFIT at the location of specific case studies. In particular standard accelerometric measurements will be collected and compared with the information collected by the geo-radar system made available by one of the partners. This paper focuses on the structural monitoring of a two-story masonry building. The results of a preliminary data collection in the absence of drilling are also reported.
DOI: 10.5281/zenodo.7435420
title: Dataset supporting publication: 'GEOFIT: Ground source heat pump systems for energy efficient building retrofitting'

description: Dataset supporting publication: Presentation of GEOFIT at the European Heat Pump Summit (2019) Available for download: GEOFIT Zenodo The integration of geothermal systems for heating / cooling solutions in conjunction with heat pump technology is a major challenge, particularly in the case of renovation. In order to find the best solution for the increased flow temperatures compared to a new building for the renovation, various heat pump configurations are evaluated according to energy and economic criteria. A refrigerant with low greenhouse gas potential (GWP) is used as the working medium, e.g. R1234ze (E)) less than 10 used. A favorable refrigeration circuit configuration for high flow temperatures is a twin-circuit system, which essentially consists of two heat pumps with different condensing temperatures and the same evaporation temperatures. An alternative to this is a single-stage configuration with a significantly larger condenser for improved supercooling. Both systems should enable efficient operation when renovating buildings.
DOI: 10.5281/zenodo.7435421
title: Dataset supporting publication: 'GEOFIT: Ground source heat pump systems for energy efficient building retrofitting'

description: Dataset supporting publication: Presentation of GEOFIT at the European Heat Pump Summit (2019) Available for download: GEOFIT Zenodo The integration of geothermal systems for heating / cooling solutions in conjunction with heat pump technology is a major challenge, particularly in the case of renovation. In order to find the best solution for the increased flow temperatures compared to a new building for the renovation, various heat pump configurations are evaluated according to energy and economic criteria. A refrigerant with low greenhouse gas potential (GWP) is used as the working medium, e.g. R1234ze (E)) less than 10 used. A favorable refrigeration circuit configuration for high flow temperatures is a twin-circuit system, which essentially consists of two heat pumps with different condensing temperatures and the same evaporation temperatures. An alternative to this is a single-stage configuration with a significantly larger condenser for improved supercooling. Both systems should enable efficient operation when renovating buildings.