cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23727300
title: Neural Network-based Test Case Prioritization in Continuous Integration NEUTRON-Dataset

description: The dataset is constructed starting from the three industrial dataset, however, it is not organized around the CI cycles but around a test case.The three industrial datasets are: two from ABB Robotics Norway (https://new.abb.com/products/robotics, Paint Control and IOF/ROL, for testing complex industrial robots) and Google Shared Dataset of Test Suite Results (GSDTSR, https://bitbucket.org/HelgeS/atcs-data/src. All three datasets contain information about historical test case executions, along with the verdicts (pass, fail), with CI cycles over 300. The two ABB datasets are split into daily intervals, whereas GSDTSR is split into hourly intervals as it originally provides log data of 16 days. However, the average test suite size per CI cycle in GSDTSR exceeds that in the ABB datasets. We extracted and reorganized the information provided in the three datasets in order to structure the information around a test case, thus characterizing each test case with execution cycles, fails versus passes, etc. We have obtained similar information as in the initial datasets, except the following: 352 cycles for Paint Control, 89 test cases for Paint Control and 1941 test cases for IOF/ROL.
DOI: 10.2909/42690e05-edf4-43fc-8020-33e130f62023
title: Urban Atlas Building Height 2012 (raster 10 m), Europe - version 3, Oct. 2022

description: This metadata refers to the Copernicus Building Height 2012 third version. The dataset is a 10m high resolution raster layer containing height information generated for selected cities and urban areas in the EEA38 member countries and United Kingdom as part of the Urban atlas suite of products. Height information is based on satellite data and derived datasets like the digital surface model (DSM), the digital terrain model (DTM) and the normalized DSM. The satellite data sources are IRS-P5 stereo images for the capital cities and VHR false stereo pairs extracted from the MAXAR catalogue (WV-01, WV-02, GE-01 and IK) for the remaining areas supplemented by LiDAR data as additional option.
DOI: 10.2909/393359a7-7ebd-4a52-80ac-1a18d5f3db9c
title: EU-Hydro River Network Database 2006-2012 (vector), Europe - version 1.3, Nov. 2020

description: EU-Hydro is a dataset for all EEA38 countries and the United Kingdom providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. The EU-Hydro dataset is distributed in separate files (river network and drainage network) for each of the 35 major basins of the EEA38 + UK area, in GDB and GPKG formats. The production of EU-Hydro and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.
DOI: 10.25380/iastate.22893878
title: Phenotypic and genotypic data from DH lines of the Iowa Stiff Stalk Synthetic (BSSS) maize population.

description: These data set (phenotypic and genotypic data) can be used in the genetics and plant breeding area. Currently, many projects have been developed using analyzes that associate the phenotype of interest with the genotype. Thus, it allows identifying possible regions of the genome that have the greatest effect on the trait. So, based on these data sets, it is possible to associate the phenotype of the DH lines, derived from the Iowa Stiff Stalk Synthetic (BSSS) maize population, with data from molecular markers (single nucleotide polymorphisms - SNPs) extracted from the genome of the DH lines. Furthermore, molecular characterization, genetic diversity and relationships of the DH lines in each reciprocal recurrent selection cycle of the BSSS maize population breeding program might be performed. The phenotypic data set represent the field perfomance of the DH lines for Male Flowering (mfd - days), Female Flowering (ffd - days), Anthesis-Silking Interval (asi - days), Plant Height (ph - cm), Ear Height (eh - cm), Tassel length (ts - cm), Primary Tassel Tranches (nb - number) and Flag Leaf Angle (fla - Degrees from vertical) traits. On the other hand, the genotypic data set are SNPs markers based on the Diversity Arrays Technology sequencing (DArT-seq) method.
DOI: 10.25380/iastate.22893878.v1
title: Phenotypic and genotypic data from DH lines of the Iowa Stiff Stalk Synthetic (BSSS) maize population.

description: These data set (phenotypic and genotypic data) can be used in the genetics and plant breeding area. Currently, many projects have been developed using analyzes that associate the phenotype of interest with the genotype. Thus, it allows identifying possible regions of the genome that have the greatest effect on the trait. So, based on these data sets, it is possible to associate the phenotype of the DH lines, derived from the Iowa Stiff Stalk Synthetic (BSSS) maize population, with data from molecular markers (single nucleotide polymorphisms - SNPs) extracted from the genome of the DH lines. Furthermore, molecular characterization, genetic diversity and relationships of the DH lines in each reciprocal recurrent selection cycle of the BSSS maize population breeding program might be performed. The phenotypic data set represent the field perfomance of the DH lines for Male Flowering (mfd - days), Female Flowering (ffd - days), Anthesis-Silking Interval (asi - days), Plant Height (ph - cm), Ear Height (eh - cm), Tassel length (ts - cm), Primary Tassel Tranches (nb - number) and Flag Leaf Angle (fla - Degrees from vertical) traits. On the other hand, the genotypic data set are SNPs markers based on the Diversity Arrays Technology sequencing (DArT-seq) method.
DOI: 10.5517/cc6ldnt
title: CCDC 196436: Experimental Crystal Structure Determination

description: Related Article: R.Mattes, J.Ebbing, A.Gruss, J.Koppe, K.Majcher|2003|Z.Naturforsch.,B:Chem.Sci.|58|27|
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.cc1l23rj
title: CCDC 1461797: Experimental Crystal Structure Determination

description: Related Article: Jimenez-Tenorio, Manuel, Puerta, M.Carmen, Valerga, Pedro|2016|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.cc1n4082
title: CCDC 1523193: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2016|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.cc1p72vv
title: CCDC 1555947: Experimental Crystal Structure Determination

description: Related Article: Sourav Chatterjee, Ishani Majumder, Aratrika Chakraborty, Madhulata Shukla, Tanmay Chattopadhyay|2018|Inorg.Chim.Acta|471|159|doi:10.1016/j.ica.2017.11.005
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.cc25g9nm
title: CCDC 2009750: Experimental Crystal Structure Determination

description: Related Article: Kenta Sasaki, Hitomi Yamate, Haruka Yoshino, Hiroki Miura, Yuushi Shimoda, Kiyoshi Miyata, Ken Onda, Ryo Ohtani, Masaaki Ohba|2020|Chem.Commun.|56|12961|doi:10.1039/D0CC05462C
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: 10.5281/zenodo.8250114
title: data for manuscript 233540112

description: <strong>Objective</strong>: Acute kidney injury (AKI) is an important feature of thrombotic microangiopathy (TMA). This observational, retrospective, patient cohort study aimed to describe and analyse the characteristics, prevalence, and prognosis of patients with TMA-AKI. <strong>Methods: </strong>A retrospective study was conducted in Emergency Department of Peking University People’s Hospital, between January 2017 to December 2021. The patients were assigned to either the AKI group or the non-AKI group. <strong>Results: </strong>In total, 27 and 51 patients were placed in AKI and non-AKI groups, respectively. The morbidity rate of AKI was 34.62%. In the AKI group, mortality was 40.74%, while it was 19.61% for the non-AKI group (<em>P</em> = 0.045). AKI was associated with older age (<em>P</em> = 0.033) and an increased infection rate (<em>P</em> &lt; 0.001). Compared with the non-AKI group, the AKI group had increased rates of haematuria (<em>P</em> &lt; 0.001), and proteinuria (<em>P</em> &lt; 0.001). Patients of the AKI group received continuous renal replacement therapy (<em>P</em> &lt; 0.001); however, they received fewer glucocorticoids (<em>P</em> = 0.045). A risk factor for AKI (<em>P</em> = 0.037) was identified as age (<em>P</em> &lt; 0.001) via a logistic regression analysis. In addition, increased total bilirubin level (<em>P</em> = 0.011) and age (<em>P</em> = 0.022) were significantly correlated with an increased risk of in-hospital mortality. Kaplan-Meier survival analysis revealed that for patients of the AKI group, prognosis was poor (<em>P</em> = 0.045). <strong>Conclusion</strong>: This study indicates that AKI is commonly observed in those with TMA and increases mortality risk.
DOI: 10.5281/zenodo.8250113
title: data for manuscript 233540112

description: <strong>Objective</strong>: Acute kidney injury (AKI) is an important feature of thrombotic microangiopathy (TMA). This observational, retrospective, patient cohort study aimed to describe and analyse the characteristics, prevalence, and prognosis of patients with TMA-AKI. <strong>Methods: </strong>A retrospective study was conducted in Emergency Department of Peking University People’s Hospital, between January 2017 to December 2021. The patients were assigned to either the AKI group or the non-AKI group. <strong>Results: </strong>In total, 27 and 51 patients were placed in AKI and non-AKI groups, respectively. The morbidity rate of AKI was 34.62%. In the AKI group, mortality was 40.74%, while it was 19.61% for the non-AKI group (<em>P</em> = 0.045). AKI was associated with older age (<em>P</em> = 0.033) and an increased infection rate (<em>P</em> &lt; 0.001). Compared with the non-AKI group, the AKI group had increased rates of haematuria (<em>P</em> &lt; 0.001), and proteinuria (<em>P</em> &lt; 0.001). Patients of the AKI group received continuous renal replacement therapy (<em>P</em> &lt; 0.001); however, they received fewer glucocorticoids (<em>P</em> = 0.045). A risk factor for AKI (<em>P</em> = 0.037) was identified as age (<em>P</em> &lt; 0.001) via a logistic regression analysis. In addition, increased total bilirubin level (<em>P</em> = 0.011) and age (<em>P</em> = 0.022) were significantly correlated with an increased risk of in-hospital mortality. Kaplan-Meier survival analysis revealed that for patients of the AKI group, prognosis was poor (<em>P</em> = 0.045). <strong>Conclusion</strong>: This study indicates that AKI is commonly observed in those with TMA and increases mortality risk.
DOI: 10.6084/m9.figshare.23807256
title: AATTCT-IDS

description: AATTCT-IDS is a publicly available dataset of CT images of abdominal adipose tissue. The dataset contains 13,732 CT scan slices from 300 subjects. Multiple experienced radiologists manually labeled the adipose tissue regions of 3213 slices selected by biomedical researchers at specific layer spacings.AATTCT-IDS contains separate subcutaneous adipose tissue labeling files and visceral adipose tissue labeling files. AATTCT-IDS also open-sources the original manual label files in JSON format.
DOI: 10.34740/kaggle/dsv/6307867
title: MoviesDatasets
DOI: 10.5281/zenodo.8250219
title: Phlorest phylogeny derived from Michael et al. 2015 'A Bayesian Phylogenetic Classification of Tupi-Guarani'

description: Cite the source of the dataset as: Michael L, Chousou-Polydouri N, Bartolomei K, Donnelly E, Wauters V, Meira S & O'Hagan Z. 2015. A Bayesian Phylogenetic Classification of Tupi-Guarani. LIAMES 15(2):1–36.
DOI: 10.5519/qd.1g6kkfx7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4479 records)
DOI: 10.5281/zenodo.8019944
title: Data Set for Copper-Catalyzed Benzylic Functionalization of Lignin-Derived Monomers

description: Raw NMR and HRMS data for the article entitled Copper-Catalyzed Benzylic Functionalization of Lignin-Derived Monomers. The folder names corrspond to the compound names.
DOI: 10.5281/zenodo.8019943
title: Data Set for Copper-Catalyzed Benzylic Functionalization of Lignin-Derived Monomers

description: Raw NMR and HRMS data for the article entitled Copper-Catalyzed Benzylic Functionalization of Lignin-Derived Monomers. The folder names corrspond to the compound names.
DOI: 10.5517/ccdc.csd.cc25bg44
title: CCDC 2006045: Experimental Crystal Structure Determination

description: Related Article: Ami Saito, Tomohisa Sawada, Makoto Fujita|2020|Angew.Chem.,Int.Ed.|59|20367|doi:10.1002/anie.202007731
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: 10.5066/p9bn4n8d
title: Analyses of Select Organic and Inorganic Data Collected from Lysimeters Installed at the Bemidji Crude Oil Spill Site, Minnesota, 2018, 2019, 2021

description: The U.S. Geological Survey (USGS) collected porewater samples from nine suction lysimeters in 2018, 2019, and 2021 for analysis of organic and inorganic constituents from the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, MN. In August of 1979, approximately 1,700,000 L (liters), or 10,700 barrels, of crude oil spilled onto a glacial outwash aquifer. Sampled lysimeters included L310-1.5, L310-4.5, L1802-1.8, L9014-1.5, L9014-3.0, L9014-4.5, L9017-1.3, L9017-2.5, and L9017-3.7. This data release presents data on analytes that are important indicators of biodegradation processes. Some of these analytes, if present in elevated concentrations, can be a concern regarding potential effects on human health and the environment. There is one tabulated data set containing concentrations of non-volatile dissolved organic carbon (NVDOC), ammonium (NH3-N), orthophosphate, alkalinity as bicarbonate (HCO3-), major inorganic anions, cations, and trace elements. The supporting metadata file contains site information, field and laboratory methods, water chemistry, and quality-control results. Samples were analyzed in the Reston Biogeochemical Processes in Groundwater Laboratory (RBPGL) in Reston, VA, and by a contract lab, Meadowlands Environmental Research Institute (MERI) in Lyndhurst, NJ.
DOI: 10.5281/zenodo.5609240
title: Information of the centroids and geographical limits of the regions, departments and districts of Peru

description: Datasets with information of the centroids and geographical limits of the regions, departments and districts of Peru.
DOI: 10.5281/zenodo.5640186
title: Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru

description: Datasets with information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru.
description: Format: RDS. In R Software use the function "readRDS".
DOI: 10.5281/zenodo.5694849
title: Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru

description: Datasets with information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru.
description: Format: RDS. In R Software use the function "readRDS".
DOI: 10.5281/zenodo.5758269
title: Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru

description: Datasets with information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru. Data processed from National Statistical System (INEI) publications. 2018.
description: Format: RDS. In R Software use the function "readRDS".
DOI: 10.5281/zenodo.8250241
title: Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru

description: Datasets with information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru. Data processed from National Statistical System (INEI) publications. 2022.
description: Format: RDS. In R Software use the function "readRDS".
DOI: 10.5519/qd.2uptdsxf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.6084/m9.figshare.23959089
title: Temperate reef structure - code and data

description: Data and code to support the manuscript entitled <i>Habitat structure shapes temperate reef assemblages across regional environmental gradients, </i>submitted to Science of the Total Environment.
DOI: 10.5517/ccw078c
title: CCDC 804582: Experimental Crystal Structure Determination

description: Related Article: S.Wohlert, I.Jess, C.Nather|2011|Z.Naturforsch.,B:Chem.Sci.|66|133|
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.cc280mtr
title: CCDC 2085984: Experimental Crystal Structure Determination

description: Related Article: K. Naresh Babu, Fedaa Massarwe, Israa Shioukhi, Ahmad Masarwa|2021|Angew.Chem.,Int.Ed.|60|26199|doi:10.1002/anie.202111164
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.cc280mvs
title: CCDC 2085985: Experimental Crystal Structure Determination

description: Related Article: K. Naresh Babu, Fedaa Massarwe, Israa Shioukhi, Ahmad Masarwa|2021|Angew.Chem.,Int.Ed.|60|26199|doi:10.1002/anie.202111164
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.cczj13m
title: CCDC 909140: Experimental Crystal Structure Determination

description: Related Article: Pei-Pei He, Qiao-Yan Xu, Shao-Heng Li, Su-Mu Wei, Hao-Hong Li|2022|CrystEngComm|24|3556|doi:10.1039/D2CE00368F
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: 10.5281/zenodo.8201841
title: A burned area database from Sentinel-2 imagery (2016-2022) for Madagascar, southern Mozambique, Eswatini and eastern South Africa

description: This database includes georeferenced burned area at 20 m and fire dates covering the period 2016-2022 for Madagascar, southern Mozambique (Maputo, Maputo City, Gaza, Inhambane), Eswatini, and eastern South Africa (Limpopo, Mpumalanga, KwaZulu-Natal, Eastern Cape). The classification of burned areas has been done based on 165,833 Sentinel-2 scenes (2A and 2B), by applying a two-phased algorithm on the probability output of a random forest model. The product has been validated in Madagascar with long temporal reference burned area units distributed into two fire activity strata. The accuracy analysis performed for the years 2019 and 2021 revealed a Dice coefficient of ≥79%, commission errors ≤18% and omission error ≤24% with a relative bias of about -8%. Intercomparisons with other available burned area products (FireCCISFD11, FireCCISFD20, GABAM, FireCCI51, C3SBA11, MCD64) indicated a consistent performance throughout the entire period. The product is provided in shapefiles, divided into four-month periods. Each shapefile contains a field named “BurnDate” indicating the date when the burned area was detected in format YYYYMMDD. Missing values indicate areas that were not burned, while zero values represent areas that were not considered in the mapping process due to persistent pixel low quality conditions.
description: Funded by the Swiss Network for International Studies (SNIS) in the framework of the project "Fire regimes and ecosystem services in African biodiversity hotspots: can fire policies favoring climate change mitigation, biodiversity and local communities converge?"