cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/129834
title: INS (Inertial Navigation System) data collected during research cruise NA102 using a Kongsberg Seatex MRU-5 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7434182
title: Using different single-step strategies to improve the efficiency of genomic prediction on body measurement traits in pig

description: The genomic data and phenotypic data were simulated by the multiple-trait genomic simulation software GPOPSIM. Trait A (h2=0.1) and trait B (h2=0.3) with high genetic correlation of 0.7 were simulated, the population included 30000 individuals with 10 generations.
DOI: 10.7284/129840
title: INS (Inertial Navigation System) data collected during research cruise NA102 using a Kongsberg Seapath 330+ instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7434182.v1
title: genomic_prediction

description: The genomic data and phenotypic data were simulated by the multiple-trait genomic simulation software GPOPSIM. Trait A (h2=0.1) and trait B (h2=0.3) with high genetic correlation of 0.7 were simulated, the population included 30000 individuals with 10 generations.
DOI: 10.6084/m9.figshare.7434182.v2
title: Using different single-step strategies to improve the efficiency of genomic prediction on body measurement traits in pig

description: The genomic data and phenotypic data were simulated by the multiple-trait genomic simulation software GPOPSIM. Trait A (h2=0.1) and trait B (h2=0.3) with high genetic correlation of 0.7 were simulated, the population included 30000 individuals with 10 generations.
DOI: 10.7284/129835
title: Meteorological Station data collected during research cruise NA102 using a Coastal Weatherpak-2000 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129836
title: Multibeam Echosounder data collected during research cruise NA102 using a Kongsberg EM302 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7434131
title: CONTROL PREOPERATORIO Y ANESTÉSICO EN PACIENTES CON HIPERHOMOCISTINEMIA EN CIRUGÍA OCULAR

description: Hyperhomocysteinemia is a metabolic situation in which the patient has plasmahomocysteine levels greater than 12μmol / L. This fact poses a risk to the health of thepatient because it raises the pro-atherothrombotic and platelet aggregationmechanisms, being a problem for the patient in a basal situation and even more, whensome surgical intervention must be performed. When operating a patient with ametabolic disease that presents hyperhomocysteinemia, a special surgical algorithmmust be considered to minimize the risks of developing intraoperative or postoperativethromboembolism.
DOI: 10.6084/m9.figshare.7434089
title: Genome-wide identification and characterization of long noncoding and circular RNAs in germline stem cells

description: Germline stem cells are germ cells at an early developmental stage, so their development is key to ensuring human reproduction and eugenics. There is increasing evidence that long noncoding RNA (lncRNA) and circular RNA (circRNA) play important roles in the development of germ cells. This data descriptor provides unique lncRNA and circRNA transcriptomic information for mouse germline stem cells. Using the Illumina HiSeq 2000 system, a total of 511,836,732 raw reads were generated. High-quality transcripts, lncRNAs and circRNAs were identificated and quantified using the reads, and more precise annotations of lncRNAs (especially 18573 novel lncRNAs) and circRNAs were performed in germline stem cells. We then analyzed the transcript structures, genetic variants and interaction between circRNA and microRNA to provide the basis for subsequent functional experiments.This comprehensive dataset should deepen our understanding of mouse germline stem cells, providing a theoretical foundation for research on germ cell development and human reproduction, among others.
DOI: 10.6084/m9.figshare.7434116
title: Six critical dimensions for widening online participation: qualitative synthesis of 2014-17 literature to verify a new conceptual model

description: This paper presents the full qualitative results of a study to propose a new conceptual model for widening participation of online education. The six critical dimensions of widening online participation model helps to explain how open online programs can both enable and constrain educationally under-served, non-privileged learners in different global contexts. It can be used to consider and design programs that tip the balance in favour of enabling more learners.<br>This paper provides examples and analysis for each of the key studies used to justify the parts of the model as the results published elsewhere (peer reviewed journal) will necessarily present a highly summarised view.
DOI: 10.7284/129841
title: Multibeam Echosounder data collected during research cruise NA102 using a Kongsberg EM302 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7434089.v1
title: Genome-wide identification and characterization of long noncoding RNAs and circular RNAs in mouse germline stem cells

description: Germline stem cells are germ cells at an early developmental stage, so their development is key to ensuring human reproduction and eugenics. There is increasing evidence that long noncoding RNA (lncRNA) and circular RNA (circRNA) play important roles in the development of germ cells. This data descriptor provides unique lncRNA and circRNA transcriptomic information for mouse germline stem cells. Using the Illumina HiSeq 2000 system, a total of 511,836,732 raw reads were generated. High-quality transcripts, lncRNAs and circRNAs were identificated and quantified using the reads, and more precise annotations of lncRNAs (especially 18573 novel lncRNAs) and circRNAs were performed in germline stem cells. We then analyzed the transcript structures, genetic variants and interaction between circRNA and microRNA to provide the basis for subsequent functional experiments.This comprehensive dataset should deepen our understanding of mouse germline stem cells, providing a theoretical foundation for research on germ cell development and human reproduction, among others.
DOI: 10.6084/m9.figshare.7434116.v2
title: Six critical dimensions for widening online participation: qualitative synthesis of 2014-17 literature to verify a new conceptual model

description: This paper presents the full qualitative results of a study to propose a new conceptual model for widening participation of online education. The six critical dimensions of widening online participation model helps to explain how open online programs can both enable and constrain educationally under-served, non-privileged learners in different global contexts. It can be used to consider and design programs that tip the balance in favour of enabling more learners.<br>This paper provides examples and analysis for each of the key studies used to justify the parts of the model as the results published elsewhere (peer reviewed journal) will necessarily present a highly summarised view.
DOI: 10.6084/m9.figshare.7434089.v3
title: Genome-wide identification and characterization of long noncoding and circular RNAs in germline stem cells

description: Germline stem cells are germ cells at an early developmental stage, so their development is key to ensuring human reproduction and eugenics. There is increasing evidence that long noncoding RNA (lncRNA) and circular RNA (circRNA) play important roles in the development of germ cells. This data descriptor provides unique lncRNA and circRNA transcriptomic information for mouse germline stem cells. Using the Illumina HiSeq 2000 system, a total of 511,836,732 raw reads were generated. High-quality transcripts, lncRNAs and circRNAs were identificated and quantified using the reads, and more precise annotations of lncRNAs (especially 18573 novel lncRNAs) and circRNAs were performed in germline stem cells. We then analyzed the transcript structures, genetic variants and interaction between circRNA and microRNA to provide the basis for subsequent functional experiments.This comprehensive dataset should deepen our understanding of mouse germline stem cells, providing a theoretical foundation for research on germ cell development and human reproduction, among others.
DOI: 10.6084/m9.figshare.7434116.v1
title: Six critical dimensions for widening online participation: qualitative synthesis of 2014-17 literature to verify a new conceptual model

description: This paper presents the full qualitative results of a study to propose a new conceptual model for widening participation of online education. The six critical dimensions of widening online participation model helps to explain how open online programs can both enable and constrain educationally under-served, non-privileged learners in different global contexts. It can be used to consider and design programs that tip the balance in favour of enabling more learners.<br>This paper provides examples and analysis for each of the key studies used to justify the parts of the model as the results published elsewhere (peer reviewed journal) will necessarily present a highly summarised view.
DOI: 10.6084/m9.figshare.7434131.v1
title: ANESTESIA.pdf

description: Hyperhomocysteinemia is a metabolic situation in which the patient has plasmahomocysteine levels greater than 12μmol / L. This fact poses a risk to the health of thepatient because it raises the pro-atherothrombotic and platelet aggregationmechanisms, being a problem for the patient in a basal situation and even more, whensome surgical intervention must be performed. When operating a patient with ametabolic disease that presents hyperhomocysteinemia, a special surgical algorithmmust be considered to minimize the risks of developing intraoperative or postoperativethromboembolism.
DOI: 10.6084/m9.figshare.7434131.v3
title: CONTROL PREOPERATORIO Y ANESTÉSICO EN PACIENTES CON HIPERHOMOCISTINEMIA EN CIRUGÍA OCULAR

description: Hyperhomocysteinemia is a metabolic situation in which the patient has plasmahomocysteine levels greater than 12μmol / L. This fact poses a risk to the health of thepatient because it raises the pro-atherothrombotic and platelet aggregationmechanisms, being a problem for the patient in a basal situation and even more, whensome surgical intervention must be performed. When operating a patient with ametabolic disease that presents hyperhomocysteinemia, a special surgical algorithmmust be considered to minimize the risks of developing intraoperative or postoperativethromboembolism.
DOI: 10.7284/129838
title: Singlebeam Echosounder data collected during research cruise NA102 using a Knudsen 3260 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7434089.v2
title: Genome-wide identification and characterization of long noncoding RNAs and circular RNAs in mouse germline stem cells

description: Germline stem cells are germ cells at an early developmental stage, so their development is key to ensuring human reproduction and eugenics. There is increasing evidence that long noncoding RNA (lncRNA) and circular RNA (circRNA) play important roles in the development of germ cells. This data descriptor provides unique lncRNA and circRNA transcriptomic information for mouse germline stem cells. Using the Illumina HiSeq 2000 system, a total of 511,836,732 raw reads were generated. High-quality transcripts, lncRNAs and circRNAs were identificated and quantified using the reads, and more precise annotations of lncRNAs (especially 18573 novel lncRNAs) and circRNAs were performed in germline stem cells. We then analyzed the transcript structures, genetic variants and interaction between circRNA and microRNA to provide the basis for subsequent functional experiments.This comprehensive dataset should deepen our understanding of mouse germline stem cells, providing a theoretical foundation for research on germ cell development and human reproduction, among others.
DOI: 10.6084/m9.figshare.7434131.v2
title: CONTROL PREOPERATORIO Y ANESTÉSICO EN PACIENTES CON HIPERHOMOCISTINEMIA EN CIRUGÍA OCULAR

description: Hyperhomocysteinemia is a metabolic situation in which the patient has plasmahomocysteine levels greater than 12μmol / L. This fact poses a risk to the health of thepatient because it raises the pro-atherothrombotic and platelet aggregationmechanisms, being a problem for the patient in a basal situation and even more, whensome surgical intervention must be performed. When operating a patient with ametabolic disease that presents hyperhomocysteinemia, a special surgical algorithmmust be considered to minimize the risks of developing intraoperative or postoperativethromboembolism.
DOI: 10.7284/129837
title: SSV (Sound Speed Velocimeter) data collected during research cruise NA102 using a AML SVXchange instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129847
title: Expendable Probe data collected during research cruise NA103 using a Sippican MK21 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7433966
title: Slalom Anaerobic Test

description: Video showing the Slalom Anaerobic Test filmed and synchronized with left and right stroke data for power output, the bottom hand pull force and top hand push force, along with overall power output sampled at 50Hz using One Giant Leap Kayak Paddle Power-meter.<br>Additional jpg image shows stroke-by-stroke data for left and right Power Output, Pull force (Bottom hand) and Push force (Top hand). <br><br>While this data is demonstration only (participant was not one of the data sets included within the study) it serve to point out how the participant who had had major injury to the left side has been affected. <br>
DOI: 10.7284/129842
title: INS (Inertial Navigation System) data collected during research cruise NA103 using a Kongsberg Seatex MRU-5 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129848
title: INS (Inertial Navigation System) data collected during research cruise NA103 using a Kongsberg Seapath 330+ instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7433966.v3
title: Slalom Anaerobic Test

description: Video showing the Slalom Anaerobic Test filmed and synchronized with left and right stroke data for power output, the bottom hand pull force and top hand push force, along with overall power output sampled at 50Hz using One Giant Leap Kayak Paddle Power-meter.<br>
DOI: 10.6084/m9.figshare.7433192.v1
title: Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data

description: In this article, we consider the sparse tensor singular value decomposition, which aims for dimension reduction on high-dimensional high-order data with certain sparsity structure. A method named sparse tensor alternating thresholding for singular value decomposition (STAT-SVD) is proposed. The proposed procedure features a novel double projection & thresholding scheme, which provides a sharp criterion for thresholding in each iteration. Compared with regular tensor SVD model, STAT-SVD permits more robust estimation under weaker assumptions. Both the upper and lower bounds for estimation accuracy are developed. The proposed procedure is shown to be minimax rate-optimal in a general class of situations. Simulation studies show that STAT-SVD performs well under a variety of configurations. We also illustrate the merits of the proposed procedure on a longitudinal tensor dataset on European country mortality rates.
DOI: 10.7284/129843
title: Meteorological Station data collected during research cruise NA103 using a Coastal Weatherpak-2000 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7433156
title: Proteomic Analysis in Drosophila suzukii

description: TMT proteomic analyses to identify adult reproductive diapause-related proteins
DOI: 10.6084/m9.figshare.7433156.v1
title: Proteomic Analysis in Drosophila suzukii

description: TMT proteomic analyses to identify adult reproductive diapause-related proteins
DOI: 10.7284/129844
title: Multibeam Echosounder data collected during research cruise NA103 using a Kongsberg EM302 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129849
title: Multibeam Echosounder data collected during research cruise NA103 using a Kongsberg EM302 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.12883634
title: R0191_20170927a_videos

description: Rat 0191, skilled reaching data collected on 9/27/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.7432907.v1
title: Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves

description: A population quantity of interest in statistical shape analysis is the location of landmarks, which are points that aid in reconstructing and representing shapes of objects. We provide an automated, model-based approach to inferring landmarks given a sample of shape data. The model is formulated based on a linear reconstruction of the shape, passing through the specified points, and a Bayesian inferential approach is described for estimating unknown landmark locations. The question of how many landmarks to select is addressed in two different ways: (1) by defining a criterion-based approach and (2) joint estimation of the number of landmarks along with their locations. Efficient methods for posterior sampling are also discussed. We motivate our approach using several simulated examples, as well as data obtained from applications in computer vision, biology, and medical imaging. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.7432541.v1
title: Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method

description: Diagnosing glaucoma progression is critical for limiting irreversible vision loss. A common method for assessing glaucoma progression uses a longitudinal series of visual fields (VF) acquired at regular intervals. VF data are characterized by a complex spatiotemporal structure due to the data generating process and ocular anatomy. Thus, advanced statistical methods are needed to make clinical determinations regarding progression status. We introduce a spatiotemporal boundary detection model that allows the underlying anatomy of the optic disc to dictate the spatial structure of the VF data across time. We show that our new method provides novel insight into vision loss that improves diagnosis of glaucoma progression using data from the Vein Pulsation Study Trial in Glaucoma and the Lions Eye Institute trial registry. Simulations are presented, showing the proposed methodology is preferred over existing spatial methods for VF data. Supplementary materials for this article are available online and the method is implemented in the R package womblR.
DOI: 10.7284/129846
title: Singlebeam Echosounder data collected during research cruise NA103 using a Knudsen 3260 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7432541.v2
title: Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method

description: Diagnosing glaucoma progression is critical for limiting irreversible vision loss. A common method for assessing glaucoma progression uses a longitudinal series of visual fields (VFs) acquired at regular intervals. VF data are characterized by a complex spatiotemporal structure due to the data generating process and ocular anatomy. Thus, advanced statistical methods are needed to make clinical determinations regarding progression status. We introduce a spatiotemporal boundary detection model that allows the underlying anatomy of the optic disc to dictate the spatial structure of the VF data across time. We show that our new method provides novel insight into vision loss that improves diagnosis of glaucoma progression using data from the Vein Pulsation Study Trial in Glaucoma and the Lions Eye Institute trial registry. Simulations are presented, showing the proposed methodology is preferred over existing spatial methods for VF data. Supplementary materials for this article are available online and the method is implemented in the R package womblR.
DOI: 10.7284/129845
title: SSV (Sound Speed Velocimeter) data collected during research cruise NA103 using a AML SVXchange instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7430993
title: Improving the biomarker diagnostic capacity via functional transformations

description: The use of the area under the receiver-operating characteristic, ROC, curve (AUC) as an index of diagnostic accuracy is overwhelming in fields such as biomedical science and machine learning. It seems that a larger AUC value has become synonymous with a better performance. The functional transformation of the marker values has been proposed in the specialized literature as a procedure for increasing the AUC and therefore the diagnostic accuracy. However, the classification process is based on some regions (classification subsets) which support the decision made; one subject is classified as positive if its marker is within this region and classified as negative otherwise. In this paper we study the capacity of improving the classification performance of univariate biomarkers via functional transformations and the impact of this transformation on the final classification regions based on a real-world dataset. Particularly, we consider the problem of determining the gender of a subject based on the <i>Mode frequency</i> of his/her voice. The shape of the cumulative distribution function of this characteristic in both the male and the female groups makes the resulting classification problem useful for illustrating the differences between having useful diagnostic rules and obtaining an optimal AUC value. Our point is that improving the AUC by means of a functional transformation can produce classification regions with no practical interpretability. We propose to improve the classification accuracy by making the selection of the classification subsets more flexible while preserving their interpretability. Besides, we provide different graphical approximations which allow us a better understanding of the classification problem.
DOI: 10.6084/m9.figshare.7431065
title: Revised plotting script and data for Whitt, Levy Taylor (2018), submitted to limnology and oceanography

description: Revised plotting script and data for Whitt, Levy Taylor (2018), submitted to limnology and oceanography, 6 December 2018
DOI: 10.6084/m9.figshare.7431065.v1
title: Revised plotting script and data for Whitt, Levy Taylor (2018), submitted to limnology and oceanography

description: Revised plotting script and data for Whitt, Levy Taylor (2018), submitted to limnology and oceanography, 6 December 2018
DOI: 10.7284/129855
title: Expendable Probe data collected during research cruise NA104 using a Sippican MK21 instrument system onboard the platform EV Nautilus

description: Original (unprocessed) data collected during a Field_expedition