cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7410995
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.5281/zenodo.7411034
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.5281/zenodo.7411039
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.5281/zenodo.7411046
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.17632/dbyrjgpk2z.1
title: A survey-based study examining patient acceptability of a teledermatology consult service in Bagamoyo, Tanzania

description: Supplemental material for manuscript "A survey-based study examining patient acceptability of a teledermatology consult service in Bagamoyo, Tanzania"
DOI: 10.17632/dbyrjgpk2z.2
title: A survey-based study examining patient acceptability of a teledermatology consult service in Bagamoyo, Tanzania

description: Supplemental material for manuscript "A survey-based study examining patient acceptability of a teledermatology consult service in Bagamoyo, Tanzania"
DOI: 10.17632/fy3sd5krjj.1
title: Analysis of cold tolerance data and differentially expressed gene data in response to low temperature in juvenile Macrobrachium rosenbergii

description: Raw data including differentially expressed genes, GO enrichment and KEGG enrichment analysis
DOI: 10.17632/fy3sd5krjj.2
title: Analysis of cold tolerance data and differentially expressed gene data in response to low temperature in juvenile Macrobrachium rosenbergii

description: Raw data including differentially expressed genes, GO enrichment and KEGG enrichment analysis
DOI: 10.17632/fy3sd5krjj.3
title: Analysis of cold tolerance data and differentially expressed gene data in response to low temperature in juvenile Macrobrachium rosenbergii

description:     File 8 includes five files, of which 8.1 is the expression of differential genes in different groups and the list of differential genes. 8.2 is the volcano plot of differential gene expression analysis. 8.3 is the Venn diagram of differential genes in different groups. 8.4 is the clustering analysis of differential gene expression levels. 8.5 is the annotation results of differential genes. File 9 includes 2 files, of which 9.1 is the GO enrichment analysis of differential genes and 9.2 is the GO enrichment analysis directed acyclic graph. File 10 is about KEGG enrichment analysis of differential genes.
DOI: 10.6084/m9.figshare.21688979
title: PRM-3-IgAN

description: The raw data of PRM validation for IgAN proteomics.
DOI: 10.6084/m9.figshare.21688979.v1
title: PRM-3-IgAN

description: The raw data of PRM validation for IgAN proteomics.
DOI: 10.17632/kcr4fs4j8h.1
title: On the impact of Project Management Certifications over Sofware Projects & Practitioners

description: Dataset with a series of primary studies analyzed, the result of a systematic search, which constitutes a representative sample to know the existing evidence regarding the real impact of certifications in project management, and constitutes an ideal starting point for any practitioner interested in this topic.
DOI: 10.17632/kcr4fs4j8h.2
title: On the impact of Project Management Certifications over Sofware Projects & Practitioners

description: Dataset with a series of primary studies analyzed, the result of a systematic search, which constitutes a representative sample to know the existing evidence regarding the real impact of certifications in project management, and constitutes an ideal starting point for any practitioner interested in this topic.
DOI: 10.6084/m9.figshare.21689366
title: Magliano etal. Ecological Applications 2023

description: Data from Figures presented in Magliano et al. 2023.
DOI: 10.17632/k2847vw9gg.1
title: Lesion-Symptom Mapping in Brain Tumor and Stroke Patients

description: Data accompanying the paper: The impact of etiology in lesion-symptom mapping – A direct comparison between tumor and stroke
Authors: E.E. van Grinsven, A.R. Smits, E. van Kessel, M.A.H. Raemaekers, E.H.F. de Haan, I.M.C. Huenges Wajer, V.J. Ruijters, M.E.P. Philippens, J.J.C. Verhoeff, N.F. Ramsey, P.A.J.T. Robe, T.J. Snijders and M.J.E. van Zandvoort

Background: The behavioral consequences of lesions from different etiologies may vary because of how they affect brain tissue and how they are distributed. Therefore, the main objective of the present study was to directly compare lesion-symptom maps for memory and language functions from two populations, a tumor versus a stroke population. 
Methods: Data from two different studies were combined. Both the brain tumor (N = 196) and stroke (N = 147) patient populations underwent neuropsychological testing and an MRI, pre-operatively for the tumor population and within three months after stroke. For this study, we selected two internationally widely used standardized cognitive tasks, the Rey Auditory Verbal Learning Test and the Verbal Fluency Test. We used a state-of-the-art machine learning-based, multivariate voxel-wise approach to produce lesion-symptom maps for these cognitive tasks for both populations separately and combined. To substantiate the results from the multivariate lesion-symptom mapping, additional univariate lesion-symptom mapping was performed for each cognitive task for the tumor and stroke data separately
Results: Our lesion-symptom mapping results for the separate patient populations largely followed the expected neuroanatomical pattern based on previous literature. Substantial differences in lesion distribution hindered direct comparison. Still, in brain areas with adequate coverage in both groups, considerable LSM differences between the two populations were present for both memory and fluency tasks.
Conclusion: The differences in the lesion-symptom maps between the stroke and tumor population could partly be explained by differences in lesion volume and topography. Despite these methodological limitations, our results confirmed that etiology matters when investigating the cognitive consequences of lesions with lesion-symptom mapping. Therefore, caution is advised with generalizing lesion-symptom results across etiologies.

Folders: 
(1) Lesion overlap maps: contains the etiology-specific lesion overlap maps.
(2) Multivariate lesion-symptom maps: contains the thresholded p-value maps for the multivariate analysis for each cognitive task and for each etiology, seperately.
(3) Power maps for Univariate analyses: contains all power maps for each univariate lesion-symptom mapping analysis.
(4) Univariate lesion-symptom maps: contains the thresholded Z-score maps for the univariate analysis for each cognitive task and for each etiology, seperately.




All data is registered to the 2mm MNI standard brain.
LVC = lesion volume correction
DOI: 10.17632/5tvy2sfrpr.1
title: Nurse social courage: Relationship to emotional exhaustion and job satisfaction

description: The data examines the relationship between courage, emotional exhaustion, and job satisfaction. There is a high negative and significant correlation between job satisfaction and emotional exhaustion. The results provided significant evidence of how workplace social courage affects job satisfaction and emotional exhaustion. Workplace social courage negatively and significantly affected nurses' emotional exhaustion and job satisfaction in a positive and meaningful way. The results also showed that workplace social courage reduced emotional exhaustion in nurses by increasing job satisfaction.
The data was coded as follows: job satisfaction-JoSat, courage-C, emotional exhaustion-EmEx. Marital status, age, and experiences are the demographic variables.
DOI: 10.17632/fkfh69gnty.1
title: Raw CT Value-QPCR and Cell Number of Heparin Dose Response in HER2-positive breast cancer

description: This dataset characterises the changes in 2D breast cancer models of hallmark gene expression under basal growth conditions and cell proliferation in the added heparin cultures.  For the cell proliferation changes, the two breast cancer cells were grown in 24-well plates treated with varying concentrations of heparin; cells were then collected and counted from day 1 to day 7. The total live cell was examined by the cell hemacytometer.
DOI: 10.17632/fkfh69gnty.2
title: Raw CT Value-QPCR and Cell Number of Heparin Dose Response in HER2-positive breast cancer

description: This dataset characterises the changes in 2D breast cancer models of hallmark gene expression under basal growth conditions and cell proliferation in the added heparin cultures.  For the cell proliferation changes, the two breast cancer cells were grown in 24-well plates treated with varying concentrations of heparin; cells were then collected and counted from day 1 to day 7. The total live cell was examined by the cell hemacytometer.
DOI: 10.6084/m9.figshare.21689000
title: PRM-4-IgAN

description: The raw data of PRM validation for IgAN proteomics.
DOI: 10.6084/m9.figshare.21689000.v1
title: PRM-4-IgAN

description: The raw data of PRM validation for IgAN proteomics.
DOI: 10.5281/zenodo.7410965
title: Antismash results 359 strains

description: Antismash reults for the Streptomyces
DOI: 10.5281/zenodo.7410966
title: Antismash results 359 strains

description: Antismash reults for the Streptomyces
DOI: 10.6084/m9.figshare.21671435
title: Dataset about the levels of post-traumatic stress symptoms, defense mechanisms, and perceived stress

description: Dataset related to a Data in Brief article.
DOI: 10.6084/m9.figshare.21671435.v2
title: Dataset about the levels of post-traumatic stress symptoms, defense mechanisms, and perceived stress

description: Dataset related to a Data in Brief article.
DOI: 10.6084/m9.figshare.21671435.v1
title: Dataset about the levels of post-traumatic stress symptoms, defense mechanisms, civic moral disengagement and perceived stress

description: Dataset related to a Data in Brief article.
DOI: 10.5281/zenodo.7411052
title: Preservação Digital

description: Resultados de consulta em base de dados sobre o tema da preservação digital, citando os autores e palavras-chaves de maior incidência na pesquisa, com demostrativo gráfico. Consta assinatura do autor Atividade da disciplina Tecnologia da Informação I do Curso de Arquivologia na fase de inclusão do documento elaborado em repositório digital.
DOI: 10.5281/zenodo.7411051
title: Preservação Digital

description: Resultados de consulta em base de dados sobre o tema da preservação digital, citando os autores e palavras-chaves de maior incidência na pesquisa, com demostrativo gráfico. Consta assinatura do autor Atividade da disciplina Tecnologia da Informação I do Curso de Arquivologia na fase de inclusão do documento elaborado em repositório digital.
DOI: 10.6084/m9.figshare.21505203.v1
title: Year effects drive beta diversity

description: Dataset of PRYER experiment established by Truman Young to measure priority effects across years. Communities consist of mixes of 4 native grasses, 4 exotic grasses, or both, either planted concurrently or with a two-week priority window.
DOI: 10.6073/pasta/af6faecd68204ac6ee5c5f9c3da982fc
title: Precipitation from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, July 2000 - ongoing

description: Rain level data are collected using ISCO rain level gages attached to ISCO autosamplers, which also act as dataloggers. We condense these data into daily cumulative rainfall, although hourly rain level data are also available.
DOI: 10.6084/m9.figshare.21689402
title: AA-PruebaDeposito-CMC.xlsx

description: AA-PruebaDeposito-CMC: hoja excel
DOI: 10.6084/m9.figshare.21689402.v2
title: AA-PruebaDeposito-CMC.xlsx

description: AA-PruebaDeposito-CMC: hoja excel
DOI: 10.6084/m9.figshare.21689402.v1
title: AA-PruebaDeposito-CMC.xlsx

description: AA-PruebaDeposito-CMC: hoja excel
DOI: 10.6073/pasta/df9ca51026c33802c448df7de8bb32aa
title: LAGOS-NE v.1.054.1 - Lake water quality time series and geophysical data from a 17-state region of the United States

description: Time series of mean summer total nitrogen (TN), total phosphorus (TP), stoichiometry (TN:TP) and chlorophyll values from 2913 unique lakes in the Midwest and Northeast United States. Epilimnetic nutrient and chlorophyll observations were derived from the Lake Multi-Scaled Geospatial and Temporal Database LAGOS-NELIMNO version 1.054.1, and come from 54 disparate data sources. These data were used to assess long-term monotonic changes in water quality from 1990-2013, and the potential drivers of those trends (Oliver et al., submitted). Summer was used to approximate the stratified period, which was defined as June 15 to September 15. The median number of observations per summer for a given lake was 2, but ranged from 1 to 83. The rules for inclusion in the database were that, for a given water quality parameter, a lake must have an observation in each period of 1990-2000 and 2001-2011. Additionally, observations must span at least 5 years. Each unique lake with nutrient or chlorophyll data also has supporting geophysical data, including climate, atmospheric deposition, land use, hydrology, and topography derived at the lake watershed (variable prefix “iws”) and HUC 4 (variable prefix “hu4”) scale. Lake-specific characteristics, such as depth and area, are also reported. The geospatial data came from LAGOS-NEGEO version 1.03. For more specific information on how LAGOS-NE was created, see Soranno et al. 2015. Soranno P.A., Bissell E.G., Cheruvelil K.S., Christel S.T., Collins S.M., Fergus C.E., Filstrup C.T., Lapierre J.-F., Lottig N.R., Oliver S.K., Scott C.E., Smith N.J., Stopyak S., Yuan S., Bremigan M.T., Downing J.A., Gries C., Henry E.N., Skaff N.K., Stanley E.H., Stow C.A., Tan P.-N., Wagner T., and Webster K.E. 2015. Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse. Gigascience 4: 28. doi: 10.1186/s13742-015-0067-4.
DOI: 10.5517/ccdc.csd.cc20lkx3
title: CCDC 1864895: Experimental Crystal Structure Determination

description: Related Article: Mustafa Burak Coban|2023|J.Solid State Chem.|317|123651|doi:10.1016/j.jssc.2022.123651
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.cc26k082
title: CCDC 2042133: Experimental Crystal Structure Determination

description: Related Article: Nuzhat Muntaha, Md. Zahir Uddin, Sharmin A. Rupa, Mihir L. Bhowmik and S. M. Tareque Abedin|2020|J.Bangladesh Chem.Soc.|32|21|
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.cc284g30
title: CCDC 2089651: Experimental Crystal Structure Determination

description: Related Article: Wenqian Li, Dongsheng Zhao, Nana Lei, Rongmei Wen, Wencui Li, Mingyu Dou, Liming Fan|2023|J.Solid State Chem.|317|123649|doi:10.1016/j.jssc.2022.123649
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.cc2bvz8g
title: CCDC 2170876: Experimental Crystal Structure Determination

description: Related Article: Wen-Feng Zhou, Yi-Min Wei, Zhi-Wei Xiao, Yan Jiang, Yan-Kai Zhang, Zhen-Wei Zhang, Hui Hu, Longlong Geng, Da-Shuai Zhang, Yong-Zheng Zhang, Xiuling Zhang, Shujuan Zhuang|2023|J.Solid State Chem.|317|123699|doi:10.1016/j.jssc.2022.123699
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.cc2bwlrl
title: CCDC 2171480: Experimental Crystal Structure Determination

description: Related Article: Krystyna A. Deresz, Radosław Kamiński, Sylwia E. Kutniewska, Adam Krówczyński, Dominik Schaniel, Katarzyna N. Jarzembska|2022|Chem.Commun.|58|13439|doi:10.1039/D2CC05134F
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.cc2bwlsm
title: CCDC 2171481: Experimental Crystal Structure Determination

description: Related Article: Krystyna A. Deresz, Radosław Kamiński, Sylwia E. Kutniewska, Adam Krówczyński, Dominik Schaniel, Katarzyna N. Jarzembska|2022|Chem.Commun.|58|13439|doi:10.1039/D2CC05134F
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.cc2bwltn
title: CCDC 2171482: Experimental Crystal Structure Determination

description: Related Article: Krystyna A. Deresz, Radosław Kamiński, Sylwia E. Kutniewska, Adam Krówczyński, Dominik Schaniel, Katarzyna N. Jarzembska|2022|Chem.Commun.|58|13439|doi:10.1039/D2CC05134F
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.