cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18390580
title: Critical Zone Observatory in Pianosa Island: Accumulation chambers n.1 and n.2 (01/01/2024-31/12/2024)

description: The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers.

The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models.

In particular chamber n.1 is a dark chamber and measures the ecosystem respiration while chamber n.2 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.2 and that measured by chamber n.1 allows to calculate the GPP (Gross Primary Production).

This dataset presents data collected by chamber 1 (Camera_1_2024.xlsx) and chamber 2 (Camera_2_2024.xlsx) every hour.

The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. For transparent chamber H2O flux, number of micromoles of photons striking 1 m² per second and R2 of the regression line of the H2O concentration versus time, are also available.

The "Camera_1_2024.xlsx" file contains the following fields: 

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[3] [moles/m^2/day]: Ecosystem Respiration (ER)

CO2 errq[3]: R2 of the regression line of the CO2 concentration versus time

Soil W.[3] [%]: soil humidity next to the chamber

Soil T.[3] [°C]: soil temperature and soil humidity next to the chamber

BarP[3] [hPa]: atmospheric pressure inside the chamber

The "Camera_2_2024.xlsx" file contains the following fields:  

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[4] [moles/m^2/day]: Ecosystem Respiration (ER)

 CO2 errq[4]: R2 of the regression line of the CO2 concentration versus time

H2O flux[4] [moles/m^2/day]: water flux

H2O errq[4]: R2 of the regression line of the H2O concentration versus time

PAR[4] [µmoles/m^2/s]: numero di micromoli di fotoni che colpiscono 1 m² ogni secondo. 

Soil W.[4] [%]: soil humidity next to the chamber

Soil T.[4] [°C]: soil temperature and soil humidity next to the chamber

BarP[4] [hPa]: atmospheric pressure inside the chamber

The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006.
DOI: 10.5281/zenodo.14192106
title: Critical Zone Observatory in Pianosa Island: Accumulation chambers n.1 and n.2 (01/01/2024-31/12/2024)

description: The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers.

The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models.

In particular chamber n.1 is a dark chamber and measures the ecosystem respiration while chamber n.2 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.2 and that measured by chamber n.1 allows to calculate the GPP (Gross Primary Production).

This dataset presents data collected by chamber 1 (Camera_1_2024.xlsx) and chamber 2 (Camera_2_2024.xlsx) every hour.

The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. For transparent chamber H2O flux, number of micromoles of photons striking 1 m² per second and R2 of the regression line of the H2O concentration versus time, are also available.

The "Camera_1_2024.xlsx" file contains the following fields: 

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[3] [moles/m^2/day]: Ecosystem Respiration (ER)

CO2 errq[3]: R2 of the regression line of the CO2 concentration versus time

Soil W.[3] [%]: soil humidity next to the chamber

Soil T.[3] [°C]: soil temperature and soil humidity next to the chamber

BarP[3] [hPa]: atmospheric pressure inside the chamber

The "Camera_2_2024.xlsx" file contains the following fields:  

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[4] [moles/m^2/day]: Ecosystem Respiration (ER)

 CO2 errq[4]: R2 of the regression line of the CO2 concentration versus time

H2O flux[4] [moles/m^2/day]: water flux

H2O errq[4]: R2 of the regression line of the H2O concentration versus time

PAR[4] [µmoles/m^2/s]: numero di micromoli di fotoni che colpiscono 1 m² ogni secondo. 

Soil W.[4] [%]: soil humidity next to the chamber

Soil T.[4] [°C]: soil temperature and soil humidity next to the chamber

BarP[4] [hPa]: atmospheric pressure inside the chamber

The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006.
DOI: 10.5281/zenodo.18611379
title: COMPREHENSIVE EPIDEMIOLOGICAL, PATHOPHYSIOLOGICAL, AND CLINICAL ANALYSIS OF CARDIOVASCULAR SYSTEM DISEASES: PERSPECTIVES OF THE UZBEKISTAN HEALTHCARE SYSTEM

description: This research paper is dedicated to a comprehensive study of the epidemiological status, pathogenetic mechanisms, and preventive strategies of cardiovascular diseases (CVD), which remains one of the most pressing issues in modern cardiology. Globally, and specifically in the Republic of Uzbekistan, CVD continues to hold the leading position in mortality rates. The study analyzes the role of molecular-genetic, dietary, and environmental factors in the formation of arterial hypertension, ischemic heart disease, and chronic heart failure. The article highlights metabolic changes at the cardiocyte level, endothelial dysfunction, and the progressive development of atherosclerosis from the perspective of modern cardiology. Additionally, it provides a comparative review of cardiological reforms implemented in Uzbekistan, the effectiveness of screening programs in primary healthcare, and the outcomes of high-tech surgical interventions. The study concludes with scientifically grounded recommendations for increasing cardiological literacy among the population and developing individual prevention plans.
DOI: 10.5281/zenodo.18611378
title: COMPREHENSIVE EPIDEMIOLOGICAL, PATHOPHYSIOLOGICAL, AND CLINICAL ANALYSIS OF CARDIOVASCULAR SYSTEM DISEASES: PERSPECTIVES OF THE UZBEKISTAN HEALTHCARE SYSTEM

description: This research paper is dedicated to a comprehensive study of the epidemiological status, pathogenetic mechanisms, and preventive strategies of cardiovascular diseases (CVD), which remains one of the most pressing issues in modern cardiology. Globally, and specifically in the Republic of Uzbekistan, CVD continues to hold the leading position in mortality rates. The study analyzes the role of molecular-genetic, dietary, and environmental factors in the formation of arterial hypertension, ischemic heart disease, and chronic heart failure. The article highlights metabolic changes at the cardiocyte level, endothelial dysfunction, and the progressive development of atherosclerosis from the perspective of modern cardiology. Additionally, it provides a comparative review of cardiological reforms implemented in Uzbekistan, the effectiveness of screening programs in primary healthcare, and the outcomes of high-tech surgical interventions. The study concludes with scientifically grounded recommendations for increasing cardiological literacy among the population and developing individual prevention plans.
DOI: 10.5281/zenodo.18611393
title: KARIES VA PARODONTITNI ANIQLASHDA MASHINAVIY O'RGANISH TEXNOLOGIYALARI

description: Ushbu maqolada karies va parodontit kasalliklarini aniqlashda mashinaviy o‘rganish texnologiyalarining roli va samaradorligi o‘rganildi. Keng ko‘lamli stomatologik tasvirlar va klinik ma’lumotlar asosida chuqur o‘rganish va klassik mashinaviy o‘rganish algoritmlari qo‘llanilib, kasalliklarni erta bosqichda aniqlash imkoniyati tahlil qilindi. Tadqiqot natijalari mashinaviy o‘rganish yondashuvlarining stomatologik diagnostikada yuqori aniqlik va ishonchlilikka ega ekanligini ko‘rsatdi. Ushbu texnologiyalar stomatologik amaliyotda tashxisni avtomatlashtirish va optimallashtirishda muhim vosita sifatida e’tirof etildi.
DOI: 10.5281/zenodo.18611392
title: KARIES VA PARODONTITNI ANIQLASHDA MASHINAVIY O'RGANISH TEXNOLOGIYALARI

description: Ushbu maqolada karies va parodontit kasalliklarini aniqlashda mashinaviy o‘rganish texnologiyalarining roli va samaradorligi o‘rganildi. Keng ko‘lamli stomatologik tasvirlar va klinik ma’lumotlar asosida chuqur o‘rganish va klassik mashinaviy o‘rganish algoritmlari qo‘llanilib, kasalliklarni erta bosqichda aniqlash imkoniyati tahlil qilindi. Tadqiqot natijalari mashinaviy o‘rganish yondashuvlarining stomatologik diagnostikada yuqori aniqlik va ishonchlilikka ega ekanligini ko‘rsatdi. Ushbu texnologiyalar stomatologik amaliyotda tashxisni avtomatlashtirish va optimallashtirishda muhim vosita sifatida e’tirof etildi.
DOI: 10.6084/m9.figshare.30933230
title: <b>A </b><b><i>covR</i></b><b> promoter mutation enhances Group B </b><b><i>Streptococcus </i></b><b>virulence by upregulating </b><b><i>pgaC</i></b><b> to increase capsule stability</b>

description: Group B Streptococcus (GBS) is a major zoonotic pathogen responsiblefor neonatal sepsis and cerebrospinal meningitis. A single adenine (T) insertion in the covR promoter, identified in a clinical isolate, has been shown to enhance pathogenicity. However, the mechanistic basis remains unclear. In this study, we demonstrated that this insertion downregulates covR expression and enhances hemolysin production. Unexpectedly, we also found that it leads to a thicker and more compact capsule based on dot blot and flow cytometry analyses. Transcriptome analysis performed on the covR promoter mutant revealed a significant upregulation in biofilm?related genes, including pgaC. Electrophoretic mobility shift assays confirmed the direct binding of CovR to the pgaC promoter, thereby identifying it as a transcriptional repressor involved in capsule regulation. Deletion of pgaC (ΔpgaC) severely compromised capsular stability, as validated by Western blot and transmission electron microscopy. The ΔpgaC mutant also exhibited impaired abilities in host cell adhesion, invasion, intracellular survival, and stress resistance. In a tilapia infection model, ΔpgaC caused significantly lower mortality, reduced bacterial loads in tissues, along with a marked attenuation of pro-inflammatory cytokine production relative to the wild type strain. Collectively, our results reveal a novel mechanism by which an insertion of a single nucleotide within the covR promoter enhances GBS virulence not only by increasing hemolysin production but also by reinforcing capsule stability via the direct upregulation of pgaC.
DOI: 10.6084/m9.figshare.30933230.v2
title: <b>A </b><b><i>covR</i></b><b> promoter mutation enhances Group B </b><b><i>Streptococcus </i></b><b>virulence by upregulating </b><b><i>pgaC</i></b><b> to increase capsule stability</b>

description: Group B Streptococcus (GBS) is a major zoonotic pathogen responsiblefor neonatal sepsis and cerebrospinal meningitis. A single adenine (T) insertion in the covR promoter, identified in a clinical isolate, has been shown to enhance pathogenicity. However, the mechanistic basis remains unclear. In this study, we demonstrated that this insertion downregulates covR expression and enhances hemolysin production. Unexpectedly, we also found that it leads to a thicker and more compact capsule based on dot blot and flow cytometry analyses. Transcriptome analysis performed on the covR promoter mutant revealed a significant upregulation in biofilm?related genes, including pgaC. Electrophoretic mobility shift assays confirmed the direct binding of CovR to the pgaC promoter, thereby identifying it as a transcriptional repressor involved in capsule regulation. Deletion of pgaC (ΔpgaC) severely compromised capsular stability, as validated by Western blot and transmission electron microscopy. The ΔpgaC mutant also exhibited impaired abilities in host cell adhesion, invasion, intracellular survival, and stress resistance. In a tilapia infection model, ΔpgaC caused significantly lower mortality, reduced bacterial loads in tissues, along with a marked attenuation of pro-inflammatory cytokine production relative to the wild type strain. Collectively, our results reveal a novel mechanism by which an insertion of a single nucleotide within the covR promoter enhances GBS virulence not only by increasing hemolysin production but also by reinforcing capsule stability via the direct upregulation of pgaC.
DOI: 10.6084/m9.figshare.30933230.v3
title: <b>A </b><b><i>covR</i></b><b> promoter mutation enhances Group B </b><b><i>Streptococcus </i></b><b>virulence by upregulating </b><b><i>pgaC</i></b><b> to increase capsule stability</b>

description: Group B Streptococcus (GBS) is a major zoonotic pathogen responsiblefor neonatal sepsis and cerebrospinal meningitis. A single adenine (T) insertion in the covR promoter, identified in a clinical isolate, has been shown to enhance pathogenicity. However, the mechanistic basis remains unclear. In this study, we demonstrated that this insertion downregulates covR expression and enhances hemolysin production. Unexpectedly, we also found that it leads to a thicker and more compact capsule based on dot blot and flow cytometry analyses. Transcriptome analysis performed on the covR promoter mutant revealed a significant upregulation in biofilm?related genes, including pgaC. Electrophoretic mobility shift assays confirmed the direct binding of CovR to the pgaC promoter, thereby identifying it as a transcriptional repressor involved in capsule regulation. Deletion of pgaC (ΔpgaC) severely compromised capsular stability, as validated by Western blot and transmission electron microscopy. The ΔpgaC mutant also exhibited impaired abilities in host cell adhesion, invasion, intracellular survival, and stress resistance. In a tilapia infection model, ΔpgaC caused significantly lower mortality, reduced bacterial loads in tissues, along with a marked attenuation of pro-inflammatory cytokine production relative to the wild type strain. Collectively, our results reveal a novel mechanism by which an insertion of a single nucleotide within the covR promoter enhances GBS virulence not only by increasing hemolysin production but also by reinforcing capsule stability via the direct upregulation of pgaC.
DOI: 10.48580/dgwkl.v3
title: Piptochaetium palustre Mujica-Sallés & Longhi-Wagner, una nueva especie del género Piptochaetium Presl (Poaceae-Stipeae)
DOI: 10.5281/zenodo.18404438
title: Identification of a GPR182-postive stem cell population that drives polyp progression in familial adenomatous polyposis

description: the tissue experiment data
DOI: 10.5281/zenodo.14677986
title: Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (01/01/2024-31/12/2024)

description: The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers.

The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models.

In particular chamber n.3 is a dark chamber and measures the ecosystem respiration while chamber n.4 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.4 and that measured by chamber n.3 allows to calculate the GPP (Gross Primary Production).

This dataset presents data collected by chamber 3 (Camera_3_2024.xlsx) and chamber 4 (Camera_4_2024.xlsx) every hour.

The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. For transparent chamber H2O flux, number of micromoles of photons striking 1 m² per second and R2 of the regression line of the H2O concentration versus time, are also available.

The "Camera_3_2024.xlsx" file contains the following fields: 

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[3] [moles/m^2/day]: Ecosystem Respiration (ER)

CO2 errq[3]: R2 of the regression line of the CO2 concentration versus time

Soil W.[3] [%]: soil humidity next to the chamber

Soil T.[3] [°C]: soil temperature and soil humidity next to the chamber

BarP[3] [hPa]: atmospheric pressure inside the chamber

The "Camera_4_2024.xlsx" file contains the following fields:  

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[4] [moles/m^2/day]: Ecosystem Respiration (ER)

 CO2 errq[4]: R2 of the regression line of the CO2 concentration versus time

H2O flux[4] [moles/m^2/day]: water flux

H2O errq[4]: R2 of the regression line of the H2O concentration versus time

PAR[4] [µmoles/m^2/s]: numero di micromoli di fotoni che colpiscono 1 m² ogni secondo. 

Soil W.[4] [%]: soil humidity next to the chamber

Soil T.[4] [°C]: soil temperature and soil humidity next to the chamber

BarP[4] [hPa]: atmospheric pressure inside the chamber

The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006.
DOI: 10.5281/zenodo.18389728
title: Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (01/01/2024-31/12/2024)

description: The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers.

The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models.

In particular chamber n.3 is a dark chamber and measures the ecosystem respiration while chamber n.4 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.4 and that measured by chamber n.3 allows to calculate the GPP (Gross Primary Production).

This dataset presents data collected by chamber 3 (Camera_3_2024.xlsx) and chamber 4 (Camera_4_2024.xlsx) every hour.

The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. For transparent chamber H2O flux, number of micromoles of photons striking 1 m² per second and R2 of the regression line of the H2O concentration versus time, are also available.

The "Camera_3_2024.xlsx" file contains the following fields: 

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[3] [moles/m^2/day]: Ecosystem Respiration (ER)

CO2 errq[3]: R2 of the regression line of the CO2 concentration versus time

Soil W.[3] [%]: soil humidity next to the chamber

Soil T.[3] [°C]: soil temperature and soil humidity next to the chamber

BarP[3] [hPa]: atmospheric pressure inside the chamber

The "Camera_4_2024.xlsx" file contains the following fields:  

Date: Date and time [DD/MM/YYYY hh:mm:ss]

CO2 flux[4] [moles/m^2/day]: Ecosystem Respiration (ER)

 CO2 errq[4]: R2 of the regression line of the CO2 concentration versus time

H2O flux[4] [moles/m^2/day]: water flux

H2O errq[4]: R2 of the regression line of the H2O concentration versus time

PAR[4] [µmoles/m^2/s]: numero di micromoli di fotoni che colpiscono 1 m² ogni secondo. 

Soil W.[4] [%]: soil humidity next to the chamber

Soil T.[4] [°C]: soil temperature and soil humidity next to the chamber

BarP[4] [hPa]: atmospheric pressure inside the chamber

The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006.
DOI: 10.5281/zenodo.18404343
title: Identification of a GPR182-postive stem cell population that drives polyp progression in familial adenomatous polyposis

description: the tissue experiment data
DOI: 10.6084/m9.figshare.31306123.v1
title: SPEI1 (1992-2020)

description: From https://data.ceda.ac.uk/badc/hydro-jules/data/Global_drought_indices/MSWEP_GLEAM the data
DOI: 10.5281/zenodo.18611413
title: ФОРМИРОВАНИЕ ИНВЕСТИЦИОННОЙ ПОЛИТИКИ НА ОСНОВЕ ПРИНЦИПОВ «ЗЕЛЁНОЙ ЭКОНОМИКИ» В ПРОМЫШЛЕННЫХ ПРЕДПРИЯТИЯХ.

description: Цель статьи состоит в разработке научно обоснованного подхода к формированию инвестиционной политики промышленных предприятий на принципах «зелёной» экономики. Применены сравнительный анализ, институциональный и системный подходы, логико-структурное моделирование и экспертная оценка. Получены результаты по увязке ESG-целей, технологической модернизации и финансовых инструментов, предложены критерии отбора проектов и механизм мониторинга.
DOI: 10.5281/zenodo.18611414
title: ФОРМИРОВАНИЕ ИНВЕСТИЦИОННОЙ ПОЛИТИКИ НА ОСНОВЕ ПРИНЦИПОВ «ЗЕЛЁНОЙ ЭКОНОМИКИ» В ПРОМЫШЛЕННЫХ ПРЕДПРИЯТИЯХ.

description: Цель статьи состоит в разработке научно обоснованного подхода к формированию инвестиционной политики промышленных предприятий на принципах «зелёной» экономики. Применены сравнительный анализ, институциональный и системный подходы, логико-структурное моделирование и экспертная оценка. Получены результаты по увязке ESG-целей, технологической модернизации и финансовых инструментов, предложены критерии отбора проектов и механизм мониторинга.
DOI: 10.6084/m9.figshare.31151209
title: <b>Amphibian tolerance to human disturbance is trait-dependent and inconsistent with IUCN threat classifications</b>

description: We estimate the Human Footprint Tolerance Index (HFTI) for 615 amphibian species using 507,865 occurrence records and model the influence of life-history traits on the vulnerability of 367 species with sufficient data.
DOI: 10.6084/m9.figshare.31151209.v3
title: <b>Amphibian tolerance to human disturbance is trait-dependent and inconsistent with IUCN threat classifications</b>

description: We estimate the Human Footprint Tolerance Index (HFTI) for 615 amphibian species using 507,865 occurrence records and model the influence of life-history traits on the vulnerability of 367 species with sufficient data.
DOI: 10.6084/m9.figshare.31151209.v2
title: <b>Amphibian tolerance to human disturbance is trait-dependent and inconsistent with IUCN threat classifications</b>

description: We estimate the Human Footprint Tolerance Index (HFTI) for 615 amphibian species using 507,865 occurrence records and model the influence of life-history traits on the vulnerability of 367 species with sufficient data.