cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22016015.v1
title: Predictors of engagement in distractive activities to walking in Accra, Ghana

description: <strong>Predictors of engagement in distractive activities to walking in Accra, Ghana</strong>
DOI: 10.6084/m9.figshare.22015952.v2
title: Supplement file.xls

description: GSE100927 normalization GSE55457 normalization wgcna_module wgcna_MEs GSE100927-DEGs GSE55457-DEGs STRING-input string_interactions_short nomogram-input cibersort-input ROC-input R-optparse R-limma R-wgcna R-clusterprofiler R-lasso R-random forest R-nomogram <br>
DOI: 10.5281/zenodo.7611826
title: Data for "Topologically localized excitons in single graphene nanoribbons"

description: Data for : Topologically localized excitons in single graphene nanoribbons
DOI: 10.5281/zenodo.7438309
title: Data for "Topologically localized excitons in single graphene nanoribbons"

description: Data for : Topologically localized excitons in single graphene nanoribbons
DOI: 10.5281/zenodo.7612332
title: Raw Data for the article: Impact of the Organizational Model Adopted during the COVID-19 Pandemic on the Perceived Safety of Intensive Care Unit Staff

description: <strong>Background: </strong>The SARS-CoV-2 pandemic had a devastating health, social, and economic effect on the population. Organizational, technical and structural operations aimed at protecting staff, outpatients and inpatients were implemented in an Italian hospital with a COVID-19 dedicated intensive care unit. The impact of the organizational model adopted on the perceived safety among staff was evaluated. <strong>Methods: </strong>Descriptive, structured and voluntary, anonymous, non-funded, self-administered cross-sectional surveys on the impact of the organizational model adopted during COVID-19 on the perceived safety among staff. <strong>Results: </strong>Response rate to the survey was 67.4% (153 completed surveys). A total of 91 (59%) of respondents had more than three years of ICU experience, while 16 (10%) were employed for less than one year. Group stratification according to profession: 74 nurses (48%); 12 medical-doctors (7%); 11 physiotherapists (7%); 35 nurses-aides (22%); 5 radiology-technicians (3%); 3 housekeeping (1%); 13 other (8%). The organizational model implemented at ISMETT made them feel safe during their workday. A total of 113 (84%) agreed or strongly agreed with the sense of security resulting from the implemented measures. A vast majority of respondents perceived COVID-19 as a dangerous and deadly disease (94%) not only for themselves but even more as vectors towards their families (79%). A total of 55% of staff took isolation measures and moved away from their home by changing personal habits. The organizational model was perceived overall as appropriate (91%) to guarantee their health. <strong>Conclusion: </strong>The vast majority of respondents perceived the overall model applied during an unexpected, emergency situation as appropriate.
DOI: 10.5281/zenodo.7612331
title: Raw Data for the article: Impact of the Organizational Model Adopted during the COVID-19 Pandemic on the Perceived Safety of Intensive Care Unit Staff

description: <strong>Background: </strong>The SARS-CoV-2 pandemic had a devastating health, social, and economic effect on the population. Organizational, technical and structural operations aimed at protecting staff, outpatients and inpatients were implemented in an Italian hospital with a COVID-19 dedicated intensive care unit. The impact of the organizational model adopted on the perceived safety among staff was evaluated. <strong>Methods: </strong>Descriptive, structured and voluntary, anonymous, non-funded, self-administered cross-sectional surveys on the impact of the organizational model adopted during COVID-19 on the perceived safety among staff. <strong>Results: </strong>Response rate to the survey was 67.4% (153 completed surveys). A total of 91 (59%) of respondents had more than three years of ICU experience, while 16 (10%) were employed for less than one year. Group stratification according to profession: 74 nurses (48%); 12 medical-doctors (7%); 11 physiotherapists (7%); 35 nurses-aides (22%); 5 radiology-technicians (3%); 3 housekeeping (1%); 13 other (8%). The organizational model implemented at ISMETT made them feel safe during their workday. A total of 113 (84%) agreed or strongly agreed with the sense of security resulting from the implemented measures. A vast majority of respondents perceived COVID-19 as a dangerous and deadly disease (94%) not only for themselves but even more as vectors towards their families (79%). A total of 55% of staff took isolation measures and moved away from their home by changing personal habits. The organizational model was perceived overall as appropriate (91%) to guarantee their health. <strong>Conclusion: </strong>The vast majority of respondents perceived the overall model applied during an unexpected, emergency situation as appropriate.
DOI: 10.5281/zenodo.7612257
title: The degree of cortisol secretion is associated with diabetes mellitus and hypertension in patients with nonfunctioning adrenal tumors

description: This is a database used for a retrospective observational study, about patients with nonfuncioning adrenal tumors. We recorded the available clinical and biochemical data of all patients with adrenal incidentalomas and without mild autonomous cortisol secretion referred to the participating centres from December 2003 to December 2021.
DOI: 10.5281/zenodo.7612256
title: The degree of cortisol secretion is associated with diabetes mellitus and hypertension in patients with nonfunctioning adrenal tumors

description: This is a database used for a retrospective observational study, about patients with nonfuncioning adrenal tumors. We recorded the available clinical and biochemical data of all patients with adrenal incidentalomas and without mild autonomous cortisol secretion referred to the participating centres from December 2003 to December 2021.
DOI: 10.20372/eiar-rdm/luxits
title: Understanding Factors Affecting the Performance of Agricultural Extension System in Ethiopia

description: This study is assessing the performance of the agricultural extension system and identifying factors explaining it. The paper used both quantitative and qualitative data collection methods. Quantitative data gathered based on a questionnaire survey of 143 development agents (DAs) in Minjar Shenkora and Ada’a districts. Qualitative data were collected from 25 key informants and eight separate focus group discussants. Quantitative data was analyzed by both descriptive statistics and econometric model while qualitative data were analyzed through categorization, narration and interpretation. Results show that, despite huge government investments and having one of the highest DA-to farmers’ ratio, Ethiopia has not been able to achieve the desired goals of agricultural advancement. This is mainly because of weak and limited interactions, synergies and partnership among actors, lack of adequate facilities of FTCs, lack of physical resources for mobility, DAs lack of work motivation, lack of strong supervision, lack of technical competence of DAs, and lack of involvement of DAs in the decision making process. The Econometric model results reveal that systems of rewards and sanctions, enforcement of performance targets, interaction and partnership among relevant actors, supervision, donor funding, number of motorbikes, and DAs capacity building trainings are most significantly influenced the performance of agricultural extension service. This research showed that number of DAs is not a sufficient condition of enhancing extension performance, but an effective extension system needs to focus on the enabling environment for DAs to be motivated to work as mandated.
DOI: 10.5281/zenodo.7612301
title: Dataset related to article "Biochemical Efficacy of Sodium-Glucose Cotransporter 2 Inhibitors by Cardiovascular Risk Profile and Volume Status in a Real-World Diabetic Population "

description: This record contains raw data related to article “Biochemical Efficacy of Sodium-Glucose Cotransporter 2 Inhibitors by Cardiovascular Risk Profile and Volume Status in a Real-World Diabetic Population" Abstract Despite large-scale randomized clinical trials (RCTs) highlighting a consistent prognostic benefit of sodium-glucose cotransporter 2 inhibitors (SGLT2is) both in diabetic patients at high cardiovascular risk and in those with heart failure, there is relative paucity of data on their biochemical effects in a real-world setting. We performed a retrospective analysis on consecutive diabetic patients who were prescribed a SGLT2i in a tertiary referral center and completed at least 1 year of treatment. Changes in glycated hemoglobin, weight, and hematocrit were compared across 2 cardiovascular risk categories, defined through the inclusion criteria of 3 large RCTs. Of the 459 patients screened, 312 completed 1 year of treatment (68.0%), 92 interrupted the treatment prematurely (20.0%), and 55 were lost to follow-up (12.0%). The most common cause of drug discontinuation was genital or urinary tract infections (9.4%). At 1 year, reduction in glycated hemoglobin concentration (-0.7 ± 1.5%, P &lt; 0.001) and body weight (2.4 ± 4.6 kg, P &lt; 0.001) was comparable between patients at high versus low cardiovascular risk, while hematocrit increase (2.3 ± 3.3%, P &lt; 0.001) was more marked in patients with high cardiovascular risk and low baseline hematocrit. In a real-world population of diabetic patients, SGLT2is were well-tolerated at 1 year and led to improved glycemic control and weight loss. Hematocrit increase was more consistent in patients with high cardiovascular risk and signs of fluid overload, indicating euvolemic restoration as a potential cardioprotective mechanism mediated by these compounds.
DOI: 10.5281/zenodo.7612300
title: Dataset related to article "Biochemical Efficacy of Sodium-Glucose Cotransporter 2 Inhibitors by Cardiovascular Risk Profile and Volume Status in a Real-World Diabetic Population "

description: This record contains raw data related to article “Biochemical Efficacy of Sodium-Glucose Cotransporter 2 Inhibitors by Cardiovascular Risk Profile and Volume Status in a Real-World Diabetic Population" Abstract Despite large-scale randomized clinical trials (RCTs) highlighting a consistent prognostic benefit of sodium-glucose cotransporter 2 inhibitors (SGLT2is) both in diabetic patients at high cardiovascular risk and in those with heart failure, there is relative paucity of data on their biochemical effects in a real-world setting. We performed a retrospective analysis on consecutive diabetic patients who were prescribed a SGLT2i in a tertiary referral center and completed at least 1 year of treatment. Changes in glycated hemoglobin, weight, and hematocrit were compared across 2 cardiovascular risk categories, defined through the inclusion criteria of 3 large RCTs. Of the 459 patients screened, 312 completed 1 year of treatment (68.0%), 92 interrupted the treatment prematurely (20.0%), and 55 were lost to follow-up (12.0%). The most common cause of drug discontinuation was genital or urinary tract infections (9.4%). At 1 year, reduction in glycated hemoglobin concentration (-0.7 ± 1.5%, P &lt; 0.001) and body weight (2.4 ± 4.6 kg, P &lt; 0.001) was comparable between patients at high versus low cardiovascular risk, while hematocrit increase (2.3 ± 3.3%, P &lt; 0.001) was more marked in patients with high cardiovascular risk and low baseline hematocrit. In a real-world population of diabetic patients, SGLT2is were well-tolerated at 1 year and led to improved glycemic control and weight loss. Hematocrit increase was more consistent in patients with high cardiovascular risk and signs of fluid overload, indicating euvolemic restoration as a potential cardioprotective mechanism mediated by these compounds.
DOI: 10.5519/qd.vvgqyzkk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc28sz79
title: CCDC 2109371: Experimental Crystal Structure Determination

description: Related Article: yujiao li|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28tbt8
title: CCDC 2109730: Experimental Crystal Structure Determination

description: Related Article: Qi An|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28w6m0
title: CCDC 2111522: Experimental Crystal Structure Determination

description: Related Article: Florian Pachel, Markus Ströbele, Hans-Jürgen Meyer|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28y9m5
title: CCDC 2113537: Experimental Crystal Structure Determination

description: Related Article: haibo xu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291l10
title: CCDC 2116681: Experimental Crystal Structure Determination

description: Related Article: Paulo de Sousa Carvalho Jr, Javier Ellena, Dimitry S. Yufit, and Judith A. K. Howard|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291l32
title: CCDC 2116683: Experimental Crystal Structure Determination

description: Related Article: Paulo de Sousa Carvalho Jr, Javier Ellena, Dimitry S. Yufit, and Judith A. K. Howard|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291l43
title: CCDC 2116684: Experimental Crystal Structure Determination

description: Related Article: Paulo de Sousa Carvalho Jr, Javier Ellena, Dimitry S. Yufit, and Judith A. K. Howard|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291lml
title: CCDC 2116699: Experimental Crystal Structure Determination

description: Related Article: Paulo de Sousa Carvalho Jr, Javier Ellena, Dimitry S. Yufit, and Judith A. K. Howard|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc292wny
title: CCDC 2117940: Experimental Crystal Structure Determination

description: Related Article: Zhile Xiong|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc297rgs
title: CCDC 2122615: Experimental Crystal Structure Determination

description: Related Article: Oliver Dumele, Tommy Wachsmuth, Josefine Sprachmann|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21405183
title: Script and data

description: Data and script used in Fieschi-Méric et al., 2023 'Strong restructuration of skin microbiota during captivity challenges <em>ex-situ </em>conservation of amphibians'.DOI: 10.3389/fmicb.2023.1111018
DOI: 10.5281/zenodo.7612350
title: CABra: a novel large-sample dataset for Brazilian catchments

description: Hydrometeorological time series and catchment attributes from the CABra dataset. The manuscript of "CABra: a novel large-sample dataset for Brazilian catchments" is under review in Hydrology and Earth System Sciences (HESS) journal. Here we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land-use and land-cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model and the coordinates of the streamflow stations provided by the Brazilian Water Agency (ANA), where only the stations with 30 years (1980-2010) of data and less than 10% of missing records were included. Catchment areas range from 9 to 4,800,000 km² and the mean daily streamflow varies from 0.02 to 9 mm day<sup>-1</sup>. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage areas for each catchment, aside from more than 100 attributes within the attribute classes. Data can also be accessed at: thecabradataset.shinyapps.io/CABra <em><strong>* This version includes water demand in CABra catchments for 2020 and 2040 (projection).</strong></em>
description: For any questions contact andre.almagro@gmail.com
DOI: 10.5281/zenodo.4070146
title: CABra: a novel large-sample dataset for Brazilian catchments

description: Hydrometeorological time series and catchment attributes from the CABra dataset. The manuscript of "CABra: a novel large-sample dataset for Brazilian catchments" is under review in Hydrology and Earth System Sciences (HESS) journal. Here we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land-use and land-cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model and the coordinates of the streamflow stations provided by the Brazilian Water Agency (ANA), where only the stations with 30 years (1980-2010) of data and less than 10% of missing records were included. Catchment areas range from 9 to 4,800,000 km² and the mean daily streamflow varies from 0.02 to 9 mm day<sup>-1</sup>. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage areas for each catchment, aside from more than 100 attributes within the attribute classes. Data can also be accessed at: thecabradataset.shinyapps.io/CABra <em><strong>* This version includes water demand in CABra catchments for 2020 and 2040 (projection).</strong></em>
description: For any questions contact andre.almagro@gmail.com
DOI: 10.5281/zenodo.7612290
title: Market interview data with industrial players

description: The data is collected based on the designed interview guide with industry stakeholders such as professional buyers. The interviews are conducted in collaboration with the project partners in Spain, Brazil, and partly in South-Africa and the USA. The data will be analyzed for the four different countries representing the four zones of the Atlantic Ocean: 1) Brazil, 2) South Africa, 3) Spain 4) USA. The data will be analyzed for the professional buyers’ awareness and (interest for) trade of low trophic species and sustainable products.
DOI: 10.5281/zenodo.7612289
title: Market interview data with industrial players

description: The data is collected based on the designed interview guide with industry stakeholders such as professional buyers. The interviews are conducted in collaboration with the project partners in Spain, Brazil, and partly in South-Africa and the USA. The data will be analyzed for the four different countries representing the four zones of the Atlantic Ocean: 1) Brazil, 2) South Africa, 3) Spain 4) USA. The data will be analyzed for the professional buyers’ awareness and (interest for) trade of low trophic species and sustainable products.
DOI: 10.5281/zenodo.7609812
title: Data and code for "Representing storylines with causal networks to support decision making: framework and example"

description: Data and code for the paper "Representing storylines with causal networks to support decision making: framework and example", along with the Shiny webapp code accompanying the paper. The paper has been submitted to the journal of Climate Risk Management and is currently under review.
DOI: 10.5281/zenodo.7609811
title: Data and code for "Representing storylines with causal networks to support decision making: framework and example"

description: Data and code for the paper "Representing storylines with causal networks to support decision making: framework and example", along with the Shiny webapp code accompanying the paper. The paper has been submitted to the journal of Climate Risk Management and is currently under review.