cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5798472
title: Quantitative GeoLInk-Rohdaten - Designzyklus 1

description: Quantitative Rohdaten (Designzyklus 1, SPSS) aus dem Projekt "Qualifizierung von Geographie-Lehrpersonen für Inklusive Bildung. Entwicklung und Evaluation von Aus- und Fortbildungsangeboten für inklusiven Geographieunterricht im Design-Based-Research" (GeoLInk). Das Vorhaben wurde aus Mitteln des Bundesministeriums für Bildung und Forschung unter dem Förderkennzeichen 01NV1726 gefördert. Die Verantwortung für den Inhalt dieser Veröffentlichung liegt bei den Autor*innen.
DOI: 10.5281/zenodo.5798471
title: Quantitative GeoLInk-Rohdaten - Designzyklus 1

description: Quantitative Rohdaten (Designzyklus 1, SPSS) aus dem Projekt "Qualifizierung von Geographie-Lehrpersonen für Inklusive Bildung. Entwicklung und Evaluation von Aus- und Fortbildungsangeboten für inklusiven Geographieunterricht im Design-Based-Research" (GeoLInk). Das Vorhaben wurde aus Mitteln des Bundesministeriums für Bildung und Forschung unter dem Förderkennzeichen 01NV1726 gefördert. Die Verantwortung für den Inhalt dieser Veröffentlichung liegt bei den Autor*innen.
DOI: 10.5281/zenodo.5149070
title: Get Your Molar Tooth Right: Joubert Syndrome Misdiagnosis_dataset

description: This dataset shows the clinical and neuroradiological data of the six patients included in the study. Patients clinically have a Joubert-like phenotype, but the genetic analysis disclosed for all of them the causative mutation in genes not associated with Joubert syndrome. For this reason, the patient's MRI and clinic were re-evaluated and the correct diagnosis was reassessed. Here, the following clinical, neuroradiological and genetic data which were taken into account in this study are listed. CLINICAL FINDINGS: Gender, age at examination, phenotype at onset, language, intellectual disability, ataxia, behavioral defects, dysmorphisms, epilepsy. NEUROIMAGING FINDINGS: cerebellar vermis, cerebellar hemispheres, SCPs. GENETIC FINDINGS: gene, variants. While the analysis of JS-related genes was negative, whole exome sequencing (WES) disclosed pathogenic variants in other genes causative of distinct brain malformative conditions with partial clinical and neuroradiological overlap with JS. Reassessment of brain MRIs from five patients by a panel of expert pediatric neuroradiologists blinded to the genetic diagnosis excluded the MTS in all cases but one, which raised conflicting interpretations. This study highlights that the diagnostic yield of NGS-based targeted panels is strictly related to the accuracy of the diagnostic referral based on clinical and imaging assessment, and that WES has an advantage over targeted panel analysis when the diagnostic suspicion is not straightforward.
description: Funding: Ricerca Corrente 2021, Ricerca Finalizzata 2019, Ministry of Health (Italy);Fondazione Pierfranco e Luisa Mariani Foundation
DOI: 10.5281/zenodo.5149069
title: Get Your Molar Tooth Right: Joubert Syndrome Misdiagnosis_dataset

description: This dataset shows the clinical and neuroradiological data of the six patients included in the study. Patients clinically have a Joubert-like phenotype, but the genetic analysis disclosed for all of them the causative mutation in genes not associated with Joubert syndrome. For this reason, the patient's MRI and clinic were re-evaluated and the correct diagnosis was reassessed. Here, the following clinical, neuroradiological and genetic data which were taken into account in this study are listed. CLINICAL FINDINGS: Gender, age at examination, phenotype at onset, language, intellectual disability, ataxia, behavioral defects, dysmorphisms, epilepsy. NEUROIMAGING FINDINGS: cerebellar vermis, cerebellar hemispheres, SCPs. GENETIC FINDINGS: gene, variants. While the analysis of JS-related genes was negative, whole exome sequencing (WES) disclosed pathogenic variants in other genes causative of distinct brain malformative conditions with partial clinical and neuroradiological overlap with JS. Reassessment of brain MRIs from five patients by a panel of expert pediatric neuroradiologists blinded to the genetic diagnosis excluded the MTS in all cases but one, which raised conflicting interpretations. This study highlights that the diagnostic yield of NGS-based targeted panels is strictly related to the accuracy of the diagnostic referral based on clinical and imaging assessment, and that WES has an advantage over targeted panel analysis when the diagnostic suspicion is not straightforward.
description: Funding: Ricerca Corrente 2021, Ricerca Finalizzata 2019, Ministry of Health (Italy);Fondazione Pierfranco e Luisa Mariani Foundation
DOI: 10.25505/fiz.icsd.cc29k8lr
title: CSD 2131764: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2021|ICSD Communication|||
DOI: 10.25505/fiz.icsd.cc29k8ms
title: CSD 2131765: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2021|ICSD Communication|||
DOI: 10.25505/fiz.icsd.cc29k8nt
title: CSD 2131766: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2021|ICSD Communication|||
DOI: 10.21961/mdm:44811
title: Heidelberg Perioperative Deep Data Study – a prospective cohort study

description: HeiPoDD registry will form a clinical database and a corresponding biobank as the basis to predict overall postoperative morbidity and mortality using data-driven, personalized risk prediction from the entirety of available clinical records. Prospective single-center observational registry. DRKS00025924
DOI: 10.21227/74k1-7n03
title: Data Fusion Contest 2022 (DFC2022)

description: tbd
DOI: 10.6084/m9.figshare.17704502.v3
title: Rare Skin Disease Database

description: We collected data from public databases containing curated, inferred, literature-based information to create a database for connecting biomedical information. With curated disease genes, phenotypes, and phenotype genes as the direct molecular signatures of rare skin diseases, this work tries to link potential drugs to candidate rare skin disease targets with matched genes through disease-gene or disease-phenotype-gene relationships.RSDB contains 891 rare skin diseases, 28,077 genes, 9,732 phenotypes and 16,671 compounds with 16,411 disease-gene relationships, 15,793 disease-phenotype relationships, 12,184 disease-reference relationships, 638,151 gene-phenotype relationships, 17,636 gene-reference relationships and 61,282 references.Users can visit the RSDB homepage (https://rsdb.cmdm.tw) to explore the data for rare skin disease information.<br>
DOI: 10.6084/m9.figshare.17705096
title: Data source for hierarchical AGC dispatch with detailed modeling of energy storage system behaviors.zip

description: We use IEEE 30-bus system and practical 661-bus utility system to verify the effectiveness of the proposed hierarchical AGC dispatch method. The data of the IEEE 30-bus system has been uploaded. Due to the data privacy, we have not uploaded the detailed data source of practical 661-bus utility system.
DOI: 10.34740/kaggle/dsv/2987391
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5810341
title: Notarius cookei RB0304 SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5810340
title: Notarius cookei RB0304 SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/2987420
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5810277
title: Ecological data of 46 lakes of China

description: This database contains natural ecological data of surface water in 46 lakes across China, including natural topography information, socio-economic parameters, physical and chemical properties, total luminescence Spectra, suspended solids photos, suspended particles XRD, bacterial and fungal data, dissolved organic matter (FT-ICR MS), dissolved organic matter isotope, and dissolved greenhouse gas emission.
DOI: 10.5281/zenodo.5810276
title: Ecological data of 46 lakes of China

description: This database contains natural ecological data of surface water in 46 lakes across China, including natural topography information, socio-economic parameters, physical and chemical properties, total luminescence Spectra, suspended solids photos, suspended particles XRD, bacterial and fungal data, dissolved organic matter (FT-ICR MS), dissolved organic matter isotope, and dissolved greenhouse gas emission.
DOI: 10.25345/c5kg44
title: MassIVE MSV000088625 - GNPS WG-G25(1-20) Sample-20211230
title: Molecular networks are visual displays of the chemical space present in tandem mass spectrometry (MS/MS) experiments. This visualization approach can detect sets of spectra from related molecules (molecular networks), even when the spectra themselves are not matched to any known compounds. Classical molecular networking is well suited for discovery and can be analyzed directly from raw mass spectrometry files. Feature-based Molecular Networking (FBMN) is better when quantification analysis is necessary, but requires preprocessing with feature finding tools.
DOI: 10.6084/m9.figshare.17705129.v1
title: Data of Dual-arm Coordinated Operation Learning from Demonstration Data Based on Global Coordinated Factor Analysis (GCFA) Method.xlsx

description: Data of Dual-arm Coordinated Operation Learning from Demonstration Data Based on Global Coordinated Factor Analysis (GCFA) Method
DOI: 10.6084/m9.figshare.17705129
title: Data of Dual-arm Coordinated Operation Learning from Demonstration Data Based on Global Coordinated Factor Analysis (GCFA) Method.xlsx

description: Data of Dual-arm Coordinated Operation Learning from Demonstration Data Based on Global Coordinated Factor Analysis (GCFA) Method
DOI: 10.6084/m9.figshare.17705057
title: DATA.xlsx

description: Principal Component Analysis (PCA) to summarize the degree of subterranean specialization of the study species according to the morphological parameters and life cycle data. Phylogenetic Generalized Least Squares (PGLS) to study the relationship between thermal tolerance, habitat temperature and the degree of specialization to the subterranean environment
DOI: 10.6084/m9.figshare.17705057.v2
title: DATA.xlsx

description: Principal Component Analysis (PCA) to summarize the degree of subterranean specialization of the study species according to the morphological parameters and life cycle data. Phylogenetic Generalized Least Squares (PGLS) to study the relationship between thermal tolerance, habitat temperature and the degree of specialization to the subterranean environment
DOI: 10.6084/m9.figshare.17705057.v1
title: DATA.xlsx

description: Principal Component Analysis (PCA) to summarize the degree of subterranean specialization of the study species according to the morphological parameters and life cycle data. Phylogenetic Generalized Least Squares (PGLS) to study the relationship between thermal tolerance, habitat temperature and the degree of specialization to the subterranean environment
DOI: 10.34740/kaggle/dsv/2987598
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5810389
title: Source Data

description: Source Data
DOI: 10.5281/zenodo.5810388
title: Source Data

description: Source Data
DOI: 10.6084/m9.figshare.17705612
title: Source Data for Figures and Code

description: Source data for figures and the core code in "Effect of spatiotemporal emission change on Chinese air pollution source-sink relationship"
DOI: 10.6084/m9.figshare.17705612.v1
title: Source Data for Figures and Code

description: Source data for figures and the core code in "Effect of spatiotemporal emission change on Chinese air pollution source-sink relationship"
DOI: 10.6073/pasta/0462be37e4998ccbaf6feea8dae1cee6
title: Tidal levels in Nine Marshes on the Virginia Coast, 2018-2019

description: To determine the tidal range at each marsh, water depth was measured using Onset HOBO Water Level Data Loggers for a period of approximately 30 days. There are two data tables. One contains the water level data, adjusted for air pressure. The second contains the elevations of each well relative to NAVD88. Water depth was measured using Onset HOBO Water Level Data Loggers (Part #U20L-04) for a period of approximately 30 days within each marsh at the boundary of tall-form Spartina alterniflora and short-form S. alterniflora. Three HOBO loggers were available for use in this study; thus, water levels in all nine marshes could not be made at the same time. Water levels were measured in sets of three marshes, simultaneously, by placing one logger in each of three marshes. After about one month, the loggers were removed from a marsh, the data downloaded, and the loggers moved to another set of three marshes. Thus, for the nine sites in this study, three HOBO water-level-logger deployments were made: GATR Tract, Cushman's Landing, and Steelman's Landing from July 6th to August 6th, 2018; Oyster Harbor, Indiantown, and Box Tree from October 8th to November 4th, 2018; and Upper Phillip's Creek, Woodland Farm, and Green's Creek from November 4th to December 4th, 2018.
DOI: 10.6073/pasta/bcb89b72221168b104c3fdaaffc0dffe
title: Marsh soil Organic Matter on Nine Marshes on the Virginia Coast, 2016-2019

description: Organic matter content in nine salt marshes along the Atlantic Coast of the Delmarva Peninsula was determined by collecting soil cores followed by loss-on-ignition techniques. Two soil cores were collected at randomly selected spots within each of the 2016-2019 elevation sampling grids.
DOI: 10.6084/m9.figshare.17067136
title: Evaluation of a challenge-derived social life cycle assessment (S-LCA) framework

description: Sustainability assessments provide methodologies to assess the environmental, economic, and social impacts of products along their life cycle. The purpose of this research is to develop a social life cycle assessment (S-LCA) framework derived from a set of challenges identified in the S-LCA field. The S-LCA framework presented in this study is developed by i) performing a systematic mapping of the S-LCA field; ii) gathering of LCA and SIA expert feedback; iii) evaluation through a novice user study; iv) and a case study application. The systematic mapping procedure is explained in detail (Bonilla-Alicea and Fu 2019), while the expert feedback and novice user study are the focus of this article. <i>The case study application of the framework is the subject of a separate publication</i>. The expert feedback is used to verify the relevance of the challenges through electronic survey data. Based on the expert feedback, the number of challenges is reduced from twelve to ten, as two of the challenges are considered part of the study design rather than challenges to performing social assessments. The novice user study implemented a simplified version of the S-LCA framework, and users were able to identify potential social impacts of their capstone design.
DOI: 10.6084/m9.figshare.17067136.v1
title: Evaluation of a challenge-derived social life cycle assessment (S-LCA) framework

description: Sustainability assessments provide methodologies to assess the environmental, economic, and social impacts of products along their life cycle. The purpose of this research is to develop a social life cycle assessment (S-LCA) framework derived from a set of challenges identified in the S-LCA field. The S-LCA framework presented in this study is developed by i) performing a systematic mapping of the S-LCA field; ii) gathering of LCA and SIA expert feedback; iii) evaluation through a novice user study; iv) and a case study application. The systematic mapping procedure is explained in detail (Bonilla-Alicea and Fu 2019), while the expert feedback and novice user study are the focus of this article. <i>The case study application of the framework is the subject of a separate publication</i>. The expert feedback is used to verify the relevance of the challenges through electronic survey data. Based on the expert feedback, the number of challenges is reduced from twelve to ten, as two of the challenges are considered part of the study design rather than challenges to performing social assessments. The novice user study implemented a simplified version of the S-LCA framework, and users were able to identify potential social impacts of their capstone design.
DOI: 10.6073/pasta/3eeb128b3592a6f7e511fe89db2247bd
title: Elevations of Nine Marshes along the Virginia Coast, 2016-2019

description: Marsh elevation change was measured in nine sites through Global Positioning System (GPS) Real-Time Kinematic (RTK) surveys using Trimble R7 and R10.2 survey equipment. The data includes a table of processed results, plus raw RINEX inputs for the reference locations for each survey, along with OPUS (Online Positioning User Service) solution files for those reference locations. Additionally, ArcGIS data layers are provided both in a geodatabase and as individual shapefiles. Raw RTK surveys were adjusted based on the OPUS solutions for the fixed reference location associated with each survey. All elevations are relative to NAVD88 with GEOID12B and all horizontal locations use the WGS84 datum.
DOI: 10.6073/pasta/8917fb03f223bc3fef3004a83face949
title: Salt Marsh Boundaries and Areas of Change on the Eastern Shore of Virginia, USA

description: Between 2002-2017, migration and edge erosion were measured in three mainland geomorphic marsh types (headland, valley, hammock) and were used to assess the rate and spatial extent of marsh change for the Eastern Shore of Virginia. The boundary between high salt marsh and forest was delineated by hand digitizing 2002 and 2017 imagery and the area was determined between the 2002 and 2017 treelines at each of the salt marshes. The 2017 delineated treelines and marsh edges were confirmed through personal observations by walking the along both types of boundaries, comparing them to printouts of the delineated boundaries. There were few discrepancies, but where differences were observed, the delineated boundaries were adjusted to account for field observations. All ESVA seaside marshes were identified using aerial imagery and GIS. The marsh counts shapefile is the result of that analysis. Each point identifies an individual marsh.
DOI: 10.6084/m9.figshare.17705633
title: Supplemental Materials of DER Parameters

description: Supplemental materials of DER parameters of the paper entitled "An Improved Two-Stage Deep Reinforcement Learning Approach for Regulation Service Disaggregation in a Virtual Power Plant"
DOI: 10.5281/zenodo.5184745
title: Datasets from the publication "Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades"

description: Data from research article Rinne, T., Kajosaari, A., Söderholm, M., Berg, B., Pesola, A.J., Smith, M., Kyttä, M. (2022). Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades, <em>Health and Place</em>. This data includes supplementary materials 1, 2, 3 and 4, PRISMA checklist and a translated research protocol.
description: Funding sources: Finnish Academy, grant number 13297753 Finnish Ministry of Education and Culture, grant number OKM/30/626/2019
DOI: 10.5281/zenodo.5184744
title: Datasets from the publication "Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades"

description: Data from research article Rinne, T., Kajosaari, A., Söderholm, M., Berg, B., Pesola, A.J., Smith, M., Kyttä, M. (2022). Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades, <em>Health and Place</em>. This data includes supplementary materials 1, 2, 3 and 4, PRISMA checklist and a translated research protocol.
description: Funding sources: Finnish Academy, grant number 13297753 Finnish Ministry of Education and Culture, grant number OKM/30/626/2019
DOI: 10.21227/sm6r-nb95
title: Image dataset comprising objects and obstacles in outdoor mobility of people with visual impairment

description:  There exist several commonly used datasets in relation to object detection that include COCO (with multiple versions) and ImageNet containing large annotations for 80 and 1000 objects (i.e. classes) respectively. However, very limited datasets are available comprising specific objects identified by visually imapeired people (VIP) such as wheel-bins, trash-Bags, e-Scooters, advertising boards, and bollard. Furthermore, the annotations for these objects are not available in existing sources.We identified a publically available 3D-scan dataset (without annotations) comprising variety of required objects including benches, advertising boards, pole, and wheel-bins [1]. The 3D-scans were captured using R-GBD camera from varying perspectives, orientations, distances, and angles producing more natural representations of data diversity as compared to augmented data generation (such as zoom in/out, translation, rotation, shear etc.). We transformed 3D-Scans of required objects (bins, advert-Boards, poles, and benches) to corresponding image frames.For the trash-Bags and e-Scooters, we used publically available google images (with NY-CC license). The cars and persons annotated datasets are acquired from public sources [2] and [3], respectively. We then annotate the images using public annotation tool (DarkLabel: https://darkpgmr.tistory.com/16) in the required form (bounding boxes, class label) to be used for the object detection.  [1] Q.-Y. Z. S. M. V. K. Sungjoon Choi, “A Large Dataset of Object Scans,” arXiv, 2016.  [2] M. S. J. D. L. F.-F. Jonathan Krause, “3D Object Representations for Fine-Grained Categorization,” in 4th IEEE Workshop on 3D Representation and Recognition, ICCV (3dRR-13), Sydney, Australia, 2013.  [3] P. L. C. C. L. X. T. Yubin DENG, “Pedestrian Attribute Recognition At Far Distance,” in Proceedings of the 22nd ACM international conference on Multimedia, 2014.
DOI: 10.5281/zenodo.5810422
title: Comparative genomics reveals evolution traits, mating strategies and pathogenicity-related genes variation of Botryosphaeriaceae

description: <em>Botryosphaeriaceae</em>, as a major family of the largest class of kingdom fungi <em>Dothideomycetes</em>, encompasses phytopathogens, saprobes, and endophytes. Many members of this family are opportunistic phytopathogens with a wide host range and worldwide geographical distribution, and can infect many economically important plants, including food crops and bio-material plants. To date, however, little is known about the family evolutionary characterization, mating strategies, and pathogenicity-related genes variation from a comparative genome perspective. Here, we conducted the first large-scale whole-genome comparison of 271 <em>Dothideomycetes</em>, including 19 species in <em>Botryosphaeriaceae</em>. The comparative genome analysis provided a clear classification of <em>Botryosphaeriaceae</em> in <em>Dothideomycetes</em> and indicated that <em>Botryosphaeriaceae</em> pathogenicity evolution undergoes multiple times. Mating strategies analysis demonstrated at least 3 transitions were found within <em>Botryosphaeriaceae</em> from heterothallism to homothallism. Additionally, pathogenicity-related genes contents in different species within <em>Botryosphaeriaceae</em> varied greatly, indicating that a secondary lineage expansion occurs in speciation. These findings cast new insights into evolution traits, mating strategies and pathogenicity-related genes variation of <em>Botryosphaeriaceae</em>.