cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19382882
title: Supplementary material for New Aramaic Papyri from Elephantine in Berlin by James D. Moore, published in Studies on Elephantine, volume 1

description: These are the supplementary materials for New Aramaic Papyri from Elephantine in Berlin by James D. Moore, with DOI:10.1163/9789004505568<br>
DOI: 10.6084/m9.figshare.19382882.v1
title: Supplementary material for New Aramaic Papyri from Elephantine in Berlin by James D. Moore, published in Studies on Elephantine, volume 1

description: These are the supplementary materials for New Aramaic Papyri from Elephantine in Berlin by James D. Moore, with DOI:10.1163/9789004505568<br>
DOI: 10.14469/hpc/10191
title: NMR for Thymol Undec-10-enoate

description: NMR spectrum for Thymol undec-10-enoate
DOI: 10.21227/6f2m-xv75
title: Fault Diagnosis of Blast Furnace Iron-making Process with A Novel Deep Stationary Kernel Support Vector Machine Approach

description: In blast furnace iron-making process (BFIP), there is a significant push to maintain a stable iron-making process and ensure process at maximum efficiency. While some control systems can compensate for multiple types of disturbances when faults occur, some significant process faults often require precise human intervention to avoid safety hazards. Therefore, it is crucial to develop an efficient and stable diagnostic system to efficiently identify these faults so that operators can deal with them quickly. This paper focuses on a novel approach called deep stationary kernel support vector machine (DSKSVM) for nonstationary BFIP fault diagnosis. To eliminate the impact of nonstationary property on modeling, stationary subspace analysis (SSA) is adopted to estimate consistent underlying features. Then, design a multi-layer stacked deep kernel network to explore deep nonlinear information further. A support vector machine-based classifier and corresponding two-tier model optimization algorithm are constructed to isolate data from different types to achieve fault diagnosis task. At last, an actual case study based on BFIP presents the effectiveness of DSKSVM. The proposed method has outstanding results in fault diagnosis, and is verified that the performances of stationary construction and online computation times are superior to other methods.
DOI: 10.11588/data/ixprvw/pl1o7e
title: Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder.xml

description: Das Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder kann als Datenmodell zusammen mit der Anwendungsontologie Building-and-Furnishing-Ontology_BAFO (https://doi.org/10.11588/data/IXPRVW) nachgenutzt oder als Ausgangspunkt für weitere Anpassungen angewendet werden.
DOI: 10.11588/data/ixprvw/eur8c2
title: Building-and-Furnishing-Ontology_BAFO.owl

description: Die Anwendungsontologie Building and Furnishing Ontology (BAFO) ist eine Erweiterung des CIDOC Conceptual Reference Model (ISO 21127), umgesetzt im Erlangen CRM / OWL (Version 200717). Sie besteht aus Klassen und Eigenschaften, die für die Erfassung von Bauobjekten und damit verbundenen Ausstattungsstücken im Sinne eines Objektverzeichnisses notwendig sind. Die Anwendungsontologie steht unter der Lizenz CC-BY-SA 4.0 zur Nachnutzung bereit, Rechteinhaber ist das Herder-Institut für historische Ostmitteleuropaforschung in Marburg.
DOI: 10.11588/data/ixprvw
title: Semantische Datenmodellierung für Bauwerke und ihre Ausstattung BAFO (Herder-Institut Marburg)

description: Die Semantische Datenmodellierung für Bauwerke und Ausstattungsobjekte war einer der Schwerpunkte des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projektes "Semantics4Art&Architecture - Aufbau einer nachhaltigen Forschungsinfrastruktur für die ontologiebasierte Dokumentation und Erschließung von Kunst und Architektur" (2018-2021). Im Rahmen des Projektes wurden u.a. Anwendungsontologie Building and Furnishing Ontology (BAFO) und das Bauwerke und ihre Ausstattung BAFO Mustertemplate im WissKI-Pathbuilder entwickelt. Sie besteht aus Klassen und Eigenschaften, die für die Erfassung von Bauobjekten und damit verbundenen Ausstattungsstücken im Sinne eines Objektverzeichnisses notwendig sind. Über den folgenden Weblink kann die aktuelle Version (current Version) aufgerufen und unter Berücksichtigung der Lizenz CC-BY-SA 4.0 (Rechteinhaber: Herder-Institut für historische Ostmitteleuropaforschung in Marburg) nachgenutzt werden: http://lod.ub.uni-heidelberg.de/ontologies/bafo/ Ergänzungen von Klassen und Eigenschaften durch das Herder-Institut sind möglich. Beachten Sie dazu die Angaben zur Versionshistorie (prior version) in der OWL-Datei. Da in der Anwendungsontologie nur additive Änderungen erfolgen, ist eine Rückwärtskompatibilität garantiert. Unter dem Einsatz Anwendungsontologie BAFO wurde Mustertemplate im WissKI-Pathbuilder respektive Datenmodell entwickelt, welches eine detaillierte wissenschaftliche Erschließung bietet. Das Datenmodell des Muster-Templates kann weiterentwickelt werden, um es besser an weitere Fragestellungen anderer Projekte zur Architektur- und Kunstforschung anzupassen. Datenmodel wurde in eine Instanz von Wissenschaftlichen Kommunikationsinfrastruktur (WissKI) implementiert. Diese Demo-Instanz zeigt eine beispielhafte Erfassung, variierend in der Erschließungstiefe je nach Quellen bzw. Informationslage unter der Anwendung vorhandener Bildquellen (https://sempub.ub.uni-heidelberg.de/bafo_template/). Das Dataset umfasst: Anwendungsontologie Building and Furnishing Ontology BAFO (OWL) Das Bauwerke-und-ihre-Ausstattung-BAFO-Mustertemplate_im_WissKI-Pathbuilder (XML)
DOI: 10.6084/m9.figshare.15134328.v1
title: Edlinger_etal_database_NPLANTS-210811545.xlsx

description: The dataset analysed during the study incl. metadata.
DOI: 10.5281/zenodo.6402152
title: Artificial Intelligence: Professional reference dataset of Artificial Intelligence professional competences analysis based on the job market

description: Artificial Intelligence vacancies collection to support FAIRsFAIR Artificial Intelligence Professional Competences<br> <br> This dataset is provided as validation and support for the analysis of Artificial Intelligence competences.<br> The dataset includes a collection of vacancies from the job application<br> website indeed.com that responded to the search term "Artificial Intelligence". The used search term could be easily adjusted in the provided code at Github Repository. The heavy extensive research analysis is reflected in graphs, described and reflected in Thesis.
DOI: 10.5281/zenodo.6402151
title: Artificial Intelligence: Professional reference dataset of Artificial Intelligence professional competences analysis based on the job market

description: Artificial Intelligence vacancies collection to support FAIRsFAIR Artificial Intelligence Professional Competences<br> <br> This dataset is provided as validation and support for the analysis of Artificial Intelligence competences.<br> The dataset includes a collection of vacancies from the job application<br> website indeed.com that responded to the search term "Artificial Intelligence". The used search term could be easily adjusted in the provided code at Github Repository. The heavy extensive research analysis is reflected in graphs, described and reflected in Thesis.
DOI: 10.21942/uva.16873834
title: RDM data for paper on IRMPD spectroscopy of dibenzo[a,l]pyrene using FELICE

description: Paper versions, review reports, figures, ascii data, and log book entries for the publication on IRMPD spectroscopy of dibenzo(a,l)pyrene.
DOI: 10.21942/uva.16873834.v4
title: RDM data for paper on IRMPD spectroscopy of dibenzo[a,l]pyrene using FELICE

description: Paper versions, review reports, figures, ascii data, and log book entries for the publication on IRMPD spectroscopy of dibenzo(a,l)pyrene.
DOI: 10.5281/zenodo.6411970
title: Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

description: While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB. <strong>Licenses</strong> Different licenses apply to the various components of this data bundle (mostly attribution). For details see https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements <strong>Changelog 0.3.0</strong> Add IRENASTAT country-level power generation capacities. <strong>Changelog 0.2.0</strong> add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)
DOI: 10.5066/p9fujcvp
title: Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019

description: This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical transformation products, and surrogate compounds (NWQL laboratory schedule 2440; Furlong and others, 2014), and 65 wastewater indicator compounds and surrogate compounds (NWQL laboratory schedule 4433; Zaugg and others, 2007); bottom sediment samples were analyzed for 53 wastewater indicator compounds and surrogate compounds (NWQL laboratory schedule 5433; Burkhardt and others, 2007). In surface water, a total of 68 pesticides and transformation products, 20 pharmaceuticals, and 23 wastewater indicator compounds were detected in at least one sample. In bottom sediment, a total of 21 wastewater indicator compounds were detected in at least one sample.
DOI: 10.34740/kaggle/dsv/3406330
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16943818.v4
title: Data & Scripts Figure 4 & SuppTable7

description: Data and scripts to generate Figure 4 and SuppTable 7Please see README.txt file<br>
DOI: 10.6084/m9.figshare.19513909
title: Teledentistry: New Oral Care Delivery Tool among Indian Dental Professionals –A questionnaire Study

description: It is a questionnaire study regarding teledentistry and its knowledge, awareness and attitude of Indian dental professionals
DOI: 10.6084/m9.figshare.19513909.v1
title: Teledentistry: New Oral Care Delivery Tool among Indian Dental Professionals –A questionnaire Study

description: It is a questionnaire study regarding teledentistry and its knowledge, awareness and attitude of Indian dental professionals
DOI: 10.5281/zenodo.6411936
title: Using zero-inflated models to quantify stochastic and deterministic variation in fecundity

description: Abstract. Fecundity is a primary component in evolutionary and ecological theory and applications, yet requires long-term study to quantify the range of stochastic variation and deterministic responses to ecosystem dynamics needed to develop strategies to insure population sustainability. Fecundity data often include a large proportion of zeros because many individuals fail to produce young during a breeding season, but surprisingly few fecundity studies use zero-inflated Poisson models. We conducted colorbanding and monthly censuses of Florida scrub-jays (<em>Aphelocoma coerulescens</em>) from 31 years, 15 populations, and 761 territories with much replication across years along central Florida’s Atlantic coast. Our study quantified how fecundity (juveniles/pair/year) was influenced by habitat quality states, presence/absence of nonbreeders, population density, breeder experience, and rainfall considering both success versus failure and count submodels for zero-inflated data with random effects. Habitat quality and the presence of nonbreeders were important deterministic factors having more influence on the success than the count submodel. The results identified the importance of increasing optimal habitat, which was a mid-successional state related to fire frequency and extent, because optimal habitat in territories, and the proportion of optimal territories in the overall population, influenced fecundity of breeding pairs. Populations subject to supplementary feeding also had greater fecundity, but random effects among populations still remained important. Random annual variation was great, but residuals associated with annual variation were not correlated between the success and count submodels. Increased territory size suggested increased success and juvenile counts, but the posterior distributions overlapped zero. Population density, breeder experience, and rainfall surprisingly had no or small effects. The increased fecundity for pairs with nonbreeders, compared to pairs without, identified future empirical research needed to understand how the proportion of marginal habitat influences population recovery and sustainability, because dispersal into marginal habitat can drain nonbreeders from optimal habitat and decrease overall fecundity.
DOI: 10.5281/zenodo.6411935
title: Using zero-inflated models to quantify stochastic and deterministic variation in fecundity

description: Abstract. Fecundity is a primary component in evolutionary and ecological theory and applications, yet requires long-term study to quantify the range of stochastic variation and deterministic responses to ecosystem dynamics needed to develop strategies to insure population sustainability. Fecundity data often include a large proportion of zeros because many individuals fail to produce young during a breeding season, but surprisingly few fecundity studies use zero-inflated Poisson models. We conducted colorbanding and monthly censuses of Florida scrub-jays (<em>Aphelocoma coerulescens</em>) from 31 years, 15 populations, and 761 territories with much replication across years along central Florida’s Atlantic coast. Our study quantified how fecundity (juveniles/pair/year) was influenced by habitat quality states, presence/absence of nonbreeders, population density, breeder experience, and rainfall considering both success versus failure and count submodels for zero-inflated data with random effects. Habitat quality and the presence of nonbreeders were important deterministic factors having more influence on the success than the count submodel. The results identified the importance of increasing optimal habitat, which was a mid-successional state related to fire frequency and extent, because optimal habitat in territories, and the proportion of optimal territories in the overall population, influenced fecundity of breeding pairs. Populations subject to supplementary feeding also had greater fecundity, but random effects among populations still remained important. Random annual variation was great, but residuals associated with annual variation were not correlated between the success and count submodels. Increased territory size suggested increased success and juvenile counts, but the posterior distributions overlapped zero. Population density, breeder experience, and rainfall surprisingly had no or small effects. The increased fecundity for pairs with nonbreeders, compared to pairs without, identified future empirical research needed to understand how the proportion of marginal habitat influences population recovery and sustainability, because dispersal into marginal habitat can drain nonbreeders from optimal habitat and decrease overall fecundity.
DOI: 10.25502/0f9j-vb11/d
title: Cassava Yield Study, Certified seed vs recycled seed performance 2020

description: Evaluation of yield benefits of certified cassava seed.
DOI: 10.5066/p9jdiso3
title: Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021

description: This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) from various types of remotely sensed data in a large, highly turbid natural river channel. Previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, but the Missouri River is much more turbid. As a result, the effect of the dye on the reflectance of the water could be obscured by the effects of suspended sediment on reflectance. This experiment thus provided an initial test of the potential to map dye concentrations from remotely sensed data in more turbid rivers like the Missouri, where tracer studies involving the release of a visible dye can provide insight regarding the dispersal of endangered sturgeon larvae. This parent data release includes links to child pages for several data sets produced during the experiment: Field spectra recorded during several passes back and forth across the river channel as the plume of Rhodamine WT dye passed by. The data consist of reflectance measurements obtained above the water surface over the wavelength range from 400-900 nm. RGB (red-green-blue) videos acquired from an Unmanned Aircraft System (UAS) hovering above the river to observe the passage of the dye plulse over the course of the experiment. Digital orthophotography acquired from a fixed wing, manned aircraft during eight separate passes along the river to capture a set of more extensive, reach-scale snapshots of the dye pattern at different points in time throughout the course of the tracer experiment. In situ measurements of turbidity and Rhodamine WT dye concentration logged by sondes on-board the boat from which field spectra were collected. In situ measurements of turbidity and Rhodamine WT dye concentration logged by sondes at seven discrete, fixed locations within the study area. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential for estimating tracer dye concentrations in turbid rivers from various types of remotely sensed data.
DOI: 10.5517/ccdc.csd.cc2bn405
title: CCDC 2164296: Experimental Crystal Structure Determination

description: Related Article: Fabrizio Medici, Geoffrey Gontard, Gilles Lemière, Louis Fensterbank|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bn416
title: CCDC 2164297: Experimental Crystal Structure Determination

description: Related Article: Fabrizio Medici, Geoffrey Gontard, Gilles Lemière, Louis Fensterbank|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bn427
title: CCDC 2164298: Experimental Crystal Structure Determination

description: Related Article: Fabrizio Medici, Geoffrey Gontard, Gilles Lemière, Louis Fensterbank|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bn438
title: CCDC 2164299: Experimental Crystal Structure Determination

description: Related Article: Fabrizio Medici, Geoffrey Gontard, Gilles Lemière, Louis Fensterbank|2022|CSD Communication|||
DOI: 10.25835/dji3ljub
title: Fokus auf Lernerstrategien - Digitaler Anhang

description: Digitaler Anhang
DOI: 10.5287/bodleian:9eyp4xpbv
title: Supporting dataset for Extended range and aberration-free autofocusing via remote focusing and sequence-dependent learning
DOI: 10.5281/zenodo.6350253
title: Example of KRAS oncogene mutational regression and HLA haplotype characterization in oligo-metastatic colorectal cancer patient (ID: PAT2)

description: KRAS oncogene mutational regression from primary tumour to lung metastasis (evaluated through TSO500 panel, Illumina Novaseq 6000 platform) and HLA haplotype characterization (through PCR) in a representative oligo-metastatic colorectal cancer patient (ID: PAT2).
DOI: 10.5281/zenodo.6350252
title: Example of KRAS oncogene mutational regression and HLA haplotype characterization in oligo-metastatic colorectal cancer patient (ID: PAT2)

description: KRAS oncogene mutational regression from primary tumour to lung metastasis (evaluated through TSO500 panel, Illumina Novaseq 6000 platform) and HLA haplotype characterization (through PCR) in a representative oligo-metastatic colorectal cancer patient (ID: PAT2).
DOI: 10.22008/fk2/r2r9ku/xyz2cv
title: 2019.tar.gz

description: :unav
DOI: 10.22008/fk2/r2r9ku/df19kl
title: 2017.tar.gz

description: :unav
DOI: 10.22008/fk2/r2r9ku/uwuazh
title: 2020.tar.gz

description: :unav
DOI: 10.22008/fk2/r2r9ku/ozufqv
title: 2018.tar.gz

description: :unav
DOI: 10.22008/fk2/r2r9ku/wiyy4t
title: 2021.tar.gz

description: :unav
DOI: 10.22008/fk2/r2r9ku/qe1exe
title: QAJ_zoom_jpg.tar.gz

description: :unav
DOI: 10.25502/n5t4-f420/f
title: Cassava Yield Study, Certified seed vs recycled seed performance 2021

description: Evaluation of yield benefits of certified cassava seed.
DOI: 10.6084/m9.figshare.19513855.v1
title: Dataset of patients' clinical efficacy in treatment of anti-tumor drug-related hand foot syndrome.xlsx

description: We ordered to observe the clinical efficacy of modified Duhuo Jisheng Decoction and Danggui Guizhi Decoction in the treatment of anti-tumor drug-related hand-foot syndrome and its effect on quality of life and immune function. A total of 60 cancer patients in Changzhou Wujin traditional Chinese medicine hospital from January 2018 to June 2021 were collected, these patients have had hand-foot syndrome after receiving capecitabine or capecitabine combined with oxaliplatin. We adopted a randomized and controlled design to divide patients into treatment group and control group. The treatment group was given modified Duhuo Jisheng Decoction and Danggui Guizhi Decoction, and the control group was given urea cream. The WHO classification of HFS, TCM symptom scores, Skinder-16 quality of life scores, CD3+, CD4+, CD8+and CD4+/CD8+ ratio were observed in the two groups before and after treatment.The attached Excel data file includes two sheets. “Treatment Group” sheet: General data, WHO classification of HFS,Skinder-16 score and T lymphocyte of paitents in the treatment group. “Control Group” sheet: General data, WHO classification of HFS,Skinder-16 score and T lymphocyte of paitents in the control group.
DOI: 10.18112/openneuro.ds002236.v1.1.1
title: Cross-Sectional Multidomain Lexical Processing
DOI: 10.34622/datarepositorium/qzbuev/5bgxtf
title: scrapper_base_gov.py

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/tgzzmf
title: scrapper_nifs.py

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/lyzeuw
title: Map4Scrutiny_ShEx_Validation_Outputs.txt

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/czdrol
title: AllData.ttl

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/0pgsnw
title: ReadMe_RunShExValidation.txt

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/5qro9s
title: Map4Scrutiny_ShExC_Shapes.shex

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/h2cbkl
title: scrapper_parlamento.py

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/xofujd
title: Shape_Map_All_Data.txt

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/qi6mny
title: Map4Scrutiny_OpenRefine_Logs.txt

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/3oehkp
title: Map4Scrutiny_Core-1.ttl

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/ze2fxj
title: Map4Scrutiny_Values-1.ttl

description: :unav
DOI: 10.34622/datarepositorium/qzbuev/7vqdhr
title: DCTAP.tab

description: :unav