cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11493249
title: Semantic and structural image segmentation for prosthetic vision

description: Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the simulated prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
DOI: 10.6084/m9.figshare.11493249.v1
title: Semantic and structural image segmentation for prosthetic vision

description: Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the simulated prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
DOI: 10.6084/m9.figshare.11493249.v2
title: Semantic and structural image segmentation for prosthetic vision

description: Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the simulated prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
DOI: 10.6084/m9.figshare.11493249.v4
title: Semantic and structural image segmentation for prosthetic vision

description: Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the simulated prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
DOI: 10.6084/m9.figshare.11493249.v3
title: Semantic and structural image segmentation for prosthetic vision

description: Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the simulated prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
DOI: 10.6084/m9.figshare.11493039
title: Dataset_Mao et al..xls

description: Dataset of the article titled "Responses of foliar nutrient status and stoichiometry to nitrogen addition in different ecosystems: a meta-analysis", with information of study references, means and SD and n (for element concentration), effect sizes (lnRR) (for N: other elements), and other relevant variables.
DOI: 10.6084/m9.figshare.11493081
title: Paddy fields information and the soil geochemical attributes

description: <b>Information on the 39 paddy fields and the average soil geochemical attributes of 11 samples at each site.</b>
DOI: 10.6084/m9.figshare.11493033
title: Microhabitat Segregation raw data

description: Based on the distribution of target tadpoles, 1 kilometer of the middle segment of the Heilongjiang stream (103.3970°E, 29.5781°N), Qingyinge of Emei Mountain, Sichuan Province, China, was selected as the transect, in which was sampled after sunset (between 20:30 and 23:00) from 22th to 27th August, 2018. Each spot occupied by <i>L. boringii</i> and/or <i>Q. boulengeri</i> tadpoles was recorded as one quadrat. In each quadrat, a set of eight microhabitat environmental factors were measured based on previous studies and all the target tadpoles in the quadrat were recorded the numbers.
DOI: 10.6084/m9.figshare.11493033.v1
title: Microhabitat Segregation raw data

description: Based on the distribution of target tadpoles, 1 kilometer of the middle segment of the Heilongjiang stream (103.3970°E, 29.5781°N), Qingyinge of Emei Mountain, Sichuan Province, China, was selected as the transect, in which was sampled after sunset (between 20:30 and 23:00) from 22th to 27th August, 2018. Each spot occupied by <i>L. boringii</i> and/or <i>Q. boulengeri</i> tadpoles was recorded as one quadrat. In each quadrat, a set of eight microhabitat environmental factors were measured based on previous studies and all the target tadpoles in the quadrat were recorded the numbers.
DOI: 10.6084/m9.figshare.11493030
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 3. Matlab_programs_for_non-Linear_Longitudinal_rolls.txt: This file contains all the Matlab files to generate the results associated with nonlinear longitudinal rolls
DOI: 10.6084/m9.figshare.11493030.v1
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 3. Matlab_programs_for_non-Linear_Longitudinal_rolls.txt: This file contains all the Matlab files to generate the results associated with nonlinear longitudinal rolls
DOI: 10.6084/m9.figshare.11493081.v1
title: Paddy fields information and the soil geochemical attributes

description: <b>Information on the 39 paddy fields and the average soil geochemical attributes of 11 samples at each site.</b>
DOI: 10.6084/m9.figshare.11493027
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 1. Matlab_programs_for_Linear_Longitudinal_rolls.txt: This file contains all the Matlab files to generate the results associated with linear longitudinal rolls.
DOI: 10.6084/m9.figshare.11493024
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 4. Matlab_programs_for_non-Linear_Transverse_rolls.txt: This file contains all the Matlab files to generate the results associated with nonlinear transverse rolls.
DOI: 10.6084/m9.figshare.11493027.v1
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 1. Matlab_programs_for_Linear_Longitudinal_rolls.txt: This file contains all the Matlab files to generate the results associated with linear longitudinal rolls.
DOI: 10.6084/m9.figshare.11493021
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 2. Matlab_programs_for_Linear_Transverse_rolls.txt: This file contains all the Matlab files to generate the results associated with linear transverse rolls
DOI: 10.6084/m9.figshare.11493024.v1
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 4. Matlab_programs_for_non-Linear_Transverse_rolls.txt: This file contains all the Matlab files to generate the results associated with nonlinear transverse rolls.
DOI: 10.6084/m9.figshare.11493021.v1
title: Data from Linear and nonlinear thermosolutal instabilities in an inclined porous layer

description: 2. Matlab_programs_for_Linear_Transverse_rolls.txt: This file contains all the Matlab files to generate the results associated with linear transverse rolls
DOI: 10.6084/m9.figshare.11492343
title: Plant-herbivore dataset for network analyses

description: 1) Plant-herbivore interaction data (2014 & 2015)<br>2) Plant traits for Resistance Index<br>* All code associated with these analyses (and .csv of randomization/resampling outputs used in MS) can be found in the following repository: https://github.com/moria-robinson/PH-soil-networks-2019
DOI: 10.6084/m9.figshare.11492343.v1
title: Plant-herbivore dataset for network analyses

description: 1) Plant-herbivore interaction data (2014 & 2015)<br>2) Plant traits for Resistance Index<br>* All code associated with these analyses (and .csv of randomization/resampling outputs used in MS) can be found in the following repository: https://github.com/moria-robinson/PH-soil-networks-2019
DOI: 10.6084/m9.figshare.11492289
title: Suppl Material_Muller_etal_CATSII_2020.docxCATS II long-term anthropometric and metabolic effects of maternal sub-optimal thyroid function in offspring and mothersSupplemental data of "CATS II long-term anthropometric and metabolic effects of maternal sub-optimal thyroid function in offspring and mothers"

description: Supplemental dataset (tables and figure) of manuscript "<b>Controlled Antenatal Thyroid Screening (CATS) study II: Effects of treating maternal sub-optimal gestational thyroid function on anthropometric, bone and cardiometabolic outcomes", Muller et al 2020 </b><b></b>
DOI: 10.6084/m9.figshare.11492289.v2
title: Suppl Material_Muller_etal_CATSII_2020.docxCATS II long-term anthropometric and metabolic effects of maternal sub-optimal thyroid function in offspring and mothersSupplemental data of "CATS II long-term anthropometric and metabolic effects of maternal sub-optimal thyroid function in offspring and mothers"

description: Supplemental dataset (tables and figure) of manuscript "<b>Controlled Antenatal Thyroid Screening (CATS) study II: Effects of treating maternal sub-optimal gestational thyroid function on anthropometric, bone and cardiometabolic outcomes", Muller et al 2020 </b><b></b>
DOI: 10.6084/m9.figshare.11492220
title: Agricultural technology adoption and land use: evidence for Brazilian municipalities

description: The Green Revolution spread ‘modern agriculture’ to agricultural areas of the world through the creation of new products and practices. The adoption of agricultural technology brought about great changes in land use. The growth of new cultivated varieties, expansion of existing crops and deforestation are some of the results of this process. This article evaluates the relationship between agricultural technologies (use of agricultural machinery and technical assistance) and land use in Brazil. For that, a spatial econometric model of Simultaneous Equations Systems was used. Our approach highlights the importance of the regional technological pattern (represented by spatially lagged technological variables) on land use. The results corroborate the Borlaug hypothesis that the use of agricultural technologies can enable the maintenance of agricultural areas while preserving forest areas. In addition, with the incorporation of spatially lagged technological variables, we could observe the presence of technological spillovers in agriculture.
DOI: 10.6084/m9.figshare.11492220.v1
title: Agricultural technology adoption and land use: evidence for Brazilian municipalities

description: The Green Revolution spread ‘modern agriculture’ to agricultural areas of the world through the creation of new products and practices. The adoption of agricultural technology brought about great changes in land use. The growth of new cultivated varieties, expansion of existing crops and deforestation are some of the results of this process. This article evaluates the relationship between agricultural technologies (use of agricultural machinery and technical assistance) and land use in Brazil. For that, a spatial econometric model of Simultaneous Equations Systems was used. Our approach highlights the importance of the regional technological pattern (represented by spatially lagged technological variables) on land use. The results corroborate the Borlaug hypothesis that the use of agricultural technologies can enable the maintenance of agricultural areas while preserving forest areas. In addition, with the incorporation of spatially lagged technological variables, we could observe the presence of technological spillovers in agriculture.
DOI: 10.6084/m9.figshare.11492289.v1
title: Suppl Material_Muller_etal_CATSII_2020.docx

description: Supplemental dataset (tables and figure) of manuscript "<b>Controlled Antenatal Thyroid Screening (CATS) study II: Effects of treating maternal sub-optimal gestational thyroid function on anthropometric, bone and cardiometabolic outcomes", Muller et al 2020 </b><b></b>
DOI: 10.6084/m9.figshare.11492109
title: ln_PGA

description: the natural logarithm of the peak ground acceleration (cm/s<sup>2</sup>)<br>
DOI: 10.6084/m9.figshare.11492097
title: D_geologic_unit

description: the bases of the Mesozoic, Paleozoic and Proterozoic<br>
DOI: 10.6084/m9.figshare.11492097.v1
title: D_geologic_unit

description: the bases of the Mesozoic, Paleozoic and Proterozoic<br>
DOI: 10.6084/m9.figshare.11492109.v1
title: ln_PGA

description: the natural logarithm of the peak ground acceleration (cm/s<sup>2</sup>)<br>
DOI: 10.6084/m9.figshare.11491647
title: Vs_eachpoint_3

description: shear wave velocity from nonlinear inversion at each grid point<br>
DOI: 10.6084/m9.figshare.11491647.v1
title: Vs_eachpoint_3

description: shear wave velocity from nonlinear inversion at each grid point<br>
DOI: 10.6084/m9.figshare.11491122
title: MOESM8 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 8: Table S7. Explained variability by time in different cell types.
DOI: 10.6084/m9.figshare.11491122.v1
title: MOESM8 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 8: Table S7. Explained variability by time in different cell types.
DOI: 10.6084/m9.figshare.11491116
title: MOESM6 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 6: Table S5. Changes in cell-type proportions between time points and donors.
DOI: 10.6084/m9.figshare.11491119
title: MOESM7 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 7: Table S6. Pairwise Differential Expression between time points with bulk RNA-sequencing data in three tissues.
DOI: 10.6084/m9.figshare.11491119.v1
title: MOESM7 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 7: Table S6. Pairwise Differential Expression between time points with bulk RNA-sequencing data in three tissues.
DOI: 10.6084/m9.figshare.11491113
title: MOESM5 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 5: Table S4. Differential Expression between the bulk and single-cell pseudo-bulk RNA-sequencing samples.
DOI: 10.6084/m9.figshare.11491116.v1
title: MOESM6 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 6: Table S5. Changes in cell-type proportions between time points and donors.
DOI: 10.6084/m9.figshare.11491110
title: MOESM4 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 4: Table S3. RIN-values for samples.
DOI: 10.6084/m9.figshare.11491113.v1
title: MOESM5 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 5: Table S4. Differential Expression between the bulk and single-cell pseudo-bulk RNA-sequencing samples.
DOI: 10.6084/m9.figshare.11491104
title: MOESM3 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 3: Table S2. Number of cells per cell types.
DOI: 10.6084/m9.figshare.11491110.v1
title: MOESM4 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 4: Table S3. RIN-values for samples.
DOI: 10.6084/m9.figshare.11491104.v1
title: MOESM3 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 3: Table S2. Number of cells per cell types.
DOI: 10.6084/m9.figshare.11491098
title: MOESM2 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 2: Table S1. Patient characteristics and sample information.
DOI: 10.6084/m9.figshare.11491098.v1
title: MOESM2 of scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

description: Additional file 2: Table S1. Patient characteristics and sample information.
DOI: 10.6084/m9.figshare.11486283
title: IJGIS_figshare-20191231T231401Z-001.zip

description: The data and explanations from the attached files are part of a journal contribution. For additional information, contact me at mihaela-alina.ristea@sbg.ac.at
DOI: 10.6084/m9.figshare.11486079
title: Data for Li 2020 JGR: The Formation of Hot Thermal Anomalies in Cold Subduction-influenced Regions of Earth’s Lowermost Mantle

description: The information about each data file is provided in the README.txt.
DOI: 10.6084/m9.figshare.11486283.v1
title: IJGIS_figshare-20191231T231401Z-001.zip

description: The data and explanations from the attached files are part of a journal contribution. For additional information, contact me at mihaela-alina.ristea@sbg.ac.at
DOI: 10.6084/m9.figshare.11486079.v1
title: Data for Li JGR: Thermal ridges in the lowermost mantle

description: 1. After download the data, please unzip it. The information about each file is provided in the README.<br>2. After the first revision of the paper, the naming of cases has been updated in the paper, with the letters "G" and "R" replaced by "L" and "S", respectively.
DOI: 10.6084/m9.figshare.11486079.v2
title: Data for Li 2020 JGR: The Formation of Hot Thermal Anomalies in Cold Subduction-influenced Regions of Earth’s Lowermost Mantle

description: The information about each data file is provided in the README.txt.
DOI: 10.6084/m9.figshare.11485911
title: deflection and TB.xlsx

description: Providing strains and deflections measured in load testing of a bridge before and after strengthening.
DOI: 10.6084/m9.figshare.11485890
title: test

description: This file contains data for case G01 at 1943 MyrT.vts: temperature fieldTresi.vts: residual temperature fieldC.vts: composition fieldV.vts: velocity field
DOI: 10.6084/m9.figshare.11485911.v1
title: deflection and TB.xlsx

description: Providing strains and deflections measured in load testing of a bridge before and after strengthening.
DOI: 10.6084/m9.figshare.11485890.v1
title: CaseG01.1943Myr.tar.gz

description: This file contains data for case G01 at 1943 MyrT.vts: temperature fieldTresi.vts: residual temperature fieldC.vts: composition fieldV.vts: velocity field
DOI: 10.6084/m9.figshare.11485443
title: Data Archive for Spencer et al. 2020, The Geology and Geophysics of Kuiper Belt Object (486958) Arrokoth, Science.

description: A. New Horizons images of (486958) Arrokoth and its surroundings used in the paper, in FITS format. FITS image headers contain all support information, including timing, pointing, instrument mode, and exposure, except as noted below.<br>1) Highest-resolution raw LORRI image sets. - ca01.zip (48 images) - ca02.zip (7 images) - ca04.zip (30 images) - ca05.zip (7 images) - ca06.zip (9 images) - ca07.zip (15 images)<br>2) Lower-resolution approach raw LORRI image sets. - rotational_coverage.zip (156 images)<br>3) Satellite search raw LORRI image sets. - satellite_search.zip (1536 images)<br>4) Ring search raw MVIC image set. - ring_search.zip (26 images)<br>5) Stacked and deconvolved versions of the highest-resolution images, containing minimal FITS headers: see the raw image sets for geometrical information. Images CA01 and CA04 are enlarged by a factor of 2 relative to the raw images. - deconvolved_hires.zip, containing CA01, CA02, CA04, CA05, CA06, and CA07.<br>B. Shape models for (486958) Arrokoth, in .obj format, in units of kilometers. - shape_models.zip, containing -- mu69_fr2kf_hipoly.obj: Global shape model -- ASP-CA04-CA06-LORRI-ICP-smooth.obj: Stereo shape model derived from CA04 and CA06<br>
DOI: 10.6084/m9.figshare.11484747
title: The proportion of soil-borne pathogens increases with warming at the global scale

description: Dataset from "Delgado-Baquerizo et al. The proportion of soil-borne pathogens increases with warming at the global scale"<br>