cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6411125
title: Biomechanics of hover performance in Neotropical hummingbirds versus bats

description: Compiled data is in the file: crStats.mat. All hummingbird and bat data is in the taxClass structure array (hummingbirds then bats respectively, in order of increasing mass). The individual species means and std are shown as well as the total hummingbird and bat mean and std.<br>Inside the species struct within taxClass, you can find the values for each individual of each species.<br>The 49 values we calculate are a 17,147 length vector. This corresponds to the statsTitles field in the plotInfo structure. The statsLength is the corresponding length of each statistic. Some values are a single scalar, while others are a 1001 length vector corresponding to a single wingbeat trace. The values that are a 50 entry vector are for each chord down the wing.<br>Also included are the .m files to generate the main figures which can be helpful to see how the data in crStats.mat is accessed.
DOI: 10.6084/m9.figshare.6411125.v1
title: Biomechanics of hover performance in Neotropical hummingbirds versus bats

description: Compiled data is in the file: crStats.mat. All hummingbird and bat data is in the taxClass structure array (hummingbirds then bats respectively, in order of increasing mass). The individual species means and std are shown as well as the total hummingbird and bat mean and std.<br>Inside the species struct within taxClass, you can find the values for each individual of each species.<br>The 49 values we calculate are a 17,147 length vector. This corresponds to the statsTitles field in the plotInfo structure. The statsLength is the corresponding length of each statistic. Some values are a single scalar, while others are a 1001 length vector corresponding to a single wingbeat trace. The values that are a 50 entry vector are for each chord down the wing.<br>Also included are the .m files to generate the main figures which can be helpful to see how the data in crStats.mat is accessed.
DOI: 10.6084/m9.figshare.6411044
title: Ćwiczenia4-DawidŚwiątczak.xlsx

description: Aaaaaaa
DOI: 10.6084/m9.figshare.6411044.v1
title: Ćwiczenia4-DawidŚwiątczak.xlsx

description: Aaaaaaa
DOI: 10.6084/m9.figshare.6411002
title: Database with raw data (CSV file).

description: <br>Survival after open versus endovascular repair of abdominal aortic aneurysm. Polish population analysis. (in press)<br>
DOI: 10.6084/m9.figshare.6410987.v1
title: Pressure coefficient distribution of model spanwise section at y=2m

description: Pressure coefficient distribution of model spanwise section at y=2m
DOI: 10.6084/m9.figshare.6410984.v1
title: Trailing edge streamline distribution of model spanwise section at y=2m

description: Trailing edge streamline distribution of model spanwise section at y=2m
DOI: 10.6084/m9.figshare.6410975.v1
title: GBIF_v0.sql

description: ffndfgngn,gb
DOI: 10.6084/m9.figshare.6410975.v2
title: GBIF_v0.sql

description: ffndfgngn,gb
DOI: 10.6084/m9.figshare.6409235
title: data_sheet_nole_et_al.txt

description: Increased intensity and frequency of extreme temperatures such as late spring frosts and heat waves represent the main driver affecting forest ecosystem structure and composition in the Mediterranean region. The main objective of this study is to evaluate the effects of a late spring frost disturbance which occurred during spring 2016 in southern Italy, through the assessment of the spatial pattern of the damages on beech forest canopy at peak decrease of Normalised Difference Vegetation Index (NDVI), and the analysis of the NDVI temporal recovery after the late spring frost disturbance. The forest areas affected by frost were detected through the NDVI differencing technique based on Landsat 8 (OLI/TIRS) imagery time series. The influence of local geomorphic factors (i.e. aspect, elevation and slope) on forest NDVI patterns was assessed by means of a generalized additive model (GAM). A rather counterintuitive NDVI patterns emerged according to forest exposition, with NDVI significantly higher on the north facing areas than the southerly ones. The main canopy damages occur at about 1250 m and peaking at 1500 m asl, representing the altitudinal range affected by frost disturbance. Finally the full canopy recovery occurred within 3 months from the frost event. The analysis of seasonal Landsat 8 image time-series related to local geomorphic factors, as aspect, slope and altitude, and plant phenology on frost event date, contribute to highlight the NDVI spatio-temporal variation and canopy recovery of Mediterranean mountain beech forest
DOI: 10.6084/m9.figshare.6409235.v1
title: data_sheet_nole_et_al.txt

description: Increased intensity and frequency of extreme temperatures such as late spring frosts and heat waves represent the main driver affecting forest ecosystem structure and composition in the Mediterranean region. The main objective of this study is to evaluate the effects of a late spring frost disturbance which occurred during spring 2016 in southern Italy, through the assessment of the spatial pattern of the damages on beech forest canopy at peak decrease of Normalised Difference Vegetation Index (NDVI), and the analysis of the NDVI temporal recovery after the late spring frost disturbance. The forest areas affected by frost were detected through the NDVI differencing technique based on Landsat 8 (OLI/TIRS) imagery time series. The influence of local geomorphic factors (i.e. aspect, elevation and slope) on forest NDVI patterns was assessed by means of a generalized additive model (GAM). A rather counterintuitive NDVI patterns emerged according to forest exposition, with NDVI significantly higher on the north facing areas than the southerly ones. The main canopy damages occur at about 1250 m and peaking at 1500 m asl, representing the altitudinal range affected by frost disturbance. Finally the full canopy recovery occurred within 3 months from the frost event. The analysis of seasonal Landsat 8 image time-series related to local geomorphic factors, as aspect, slope and altitude, and plant phenology on frost event date, contribute to highlight the NDVI spatio-temporal variation and canopy recovery of Mediterranean mountain beech forest
DOI: 10.6084/m9.figshare.6407423
title: uploadCode_final.zip

description: Simulation of Fourier ptychographic forward imaging model and Fourier-magnitude projection in the format of Jupyter notebook.
DOI: 10.6084/m9.figshare.6407423.v2
title: uploadCode_final.zip

description: Simulation of Fourier ptychographic forward imaging model and Fourier-magnitude projection in the format of Jupyter notebook.
DOI: 10.6084/m9.figshare.6407336
title: Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

description: Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery by minimum stochastic distances between wishart distributions.” <i>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</i> 6 (3): 1263–1273] used stochastic distances between complex multivariate Wishart models which, differently from other measures, are computationally tractable. In this work we assess the robustness of such approach with respect to errors in the training stage, and propose an extension that alleviates such problems. We introduce robustness in the process by incorporating a combination of radial basis kernel functions and stochastic distances with Support Vector Machines (SVM). We consider several stochastic distances between Wishart: Bhatacharyya, Kullback-Leibler, Chi-Square, Rényi, and Hellinger. We perform two case studies with PolSAR images, both simulated and from actual sensors, and different classification scenarios to compare the performance of Minimum Distance and SVM classification frameworks. With this, we model the situation of imperfect training samples. We show that SVM with the proposed kernel functions achieves better performance with respect to Minimum Distance, at the expense of more computational resources and the need of parameter tuning. Code and data are provided for reproducibility.
DOI: 10.6084/m9.figshare.6407336.v1
title: Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

description: Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery by minimum stochastic distances between wishart distributions.” <i>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</i> 6 (3): 1263–1273] used stochastic distances between complex multivariate Wishart models which, differently from other measures, are computationally tractable. In this work we assess the robustness of such approach with respect to errors in the training stage, and propose an extension that alleviates such problems. We introduce robustness in the process by incorporating a combination of radial basis kernel functions and stochastic distances with Support Vector Machines (SVM). We consider several stochastic distances between Wishart: Bhatacharyya, Kullback-Leibler, Chi-Square, Rényi, and Hellinger. We perform two case studies with PolSAR images, both simulated and from actual sensors, and different classification scenarios to compare the performance of Minimum Distance and SVM classification frameworks. With this, we model the situation of imperfect training samples. We show that SVM with the proposed kernel functions achieves better performance with respect to Minimum Distance, at the expense of more computational resources and the need of parameter tuning. Code and data are provided for reproducibility.
DOI: 10.6084/m9.figshare.6407318
title: Additional file 4: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S5. Number of piRNAs (in piRPM) mapped to TEs embedded in the transcripts that are highly associated with piRNAs enriched in embryonic (E11 and E14) gonadal piRNA clusters (EG-piRC). (XLS 74 kb)
DOI: 10.6084/m9.figshare.6407318.v1
title: Additional file 4: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S5. Number of piRNAs (in piRPM) mapped to TEs embedded in the transcripts that are highly associated with piRNAs enriched in embryonic (E11 and E14) gonadal piRNA clusters (EG-piRC). (XLS 74 kb)
DOI: 10.6084/m9.figshare.6407315
title: Additional file 3: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S4. Genes and TEs targeted by stage-enriched piRNA cluster-derived piRNAs. (XLS 69 kb)
DOI: 10.6084/m9.figshare.6407312
title: Additional file 2: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S2. Number of piRNAs (in piRPM) mapped to TEs embedded in the transcripts that are differentially associated between E11G and E14G piRNAs. (XLS 109 kb)
DOI: 10.6084/m9.figshare.6407315.v1
title: Additional file 3: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S4. Genes and TEs targeted by stage-enriched piRNA cluster-derived piRNAs. (XLS 69 kb)
DOI: 10.6084/m9.figshare.6407312.v1
title: Additional file 2: of Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development

description: Table S2. Number of piRNAs (in piRPM) mapped to TEs embedded in the transcripts that are differentially associated between E11G and E14G piRNAs. (XLS 109 kb)
DOI: 10.6084/m9.figshare.6407294
title: Additional file 1: of Mosquito community composition in South Africa and some neighboring countries

description: Table S1. Mosquito species capture data and disease vector status for each of the mosquito species captured. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.6407294.v1
title: Additional file 1: of Mosquito community composition in South Africa and some neighboring countries

description: Table S1. Mosquito species capture data and disease vector status for each of the mosquito species captured. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.6407282
title: Additional file 9: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S7. DAVID functional annotation clustering analysis of Voineagu et al. downregulated genes. Using the genes downregulated in autism cerebral cortex from Voineagu et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. The top 5 clusters had several gene sets related to mitochondrial function. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.6407282.v1
title: Additional file 9: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S7. DAVID functional annotation clustering analysis of Voineagu et al. downregulated genes. Using the genes downregulated in autism cerebral cortex from Voineagu et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. The top 5 clusters had several gene sets related to mitochondrial function. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.6407270
title: Additional file 8: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S6. DAVID functional annotation clustering analysis of Voineagu et al. upregulated genes. Using the genes upregulated in autism cerebral cortex from Voineagu et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6407270.v1
title: Additional file 8: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S6. DAVID functional annotation clustering analysis of Voineagu et al. upregulated genes. Using the genes upregulated in autism cerebral cortex from Voineagu et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6407258
title: Additional file 7: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S5. Differential expression analysis between autism and control cerebral cortex in the Voineagu et al. dataset. Table of differential expression analysis between autism and control cerebral cortex in the Voineagu et al. dataset, adjusted for RIN, PMI, age, sex, and cortical location (temporal vs. frontal). The analysis was performed using the Bioconductor package limma and adjusted for multiple testing using the Benjamini-Hochberg method. Because several individuals were included twice (for both frontal and temporal cortexes) in this analysis, the analysis was also redone limiting samples only to frontal or temporal cortex. Note that the p values in the cortex-specific analyses are not adjusted for multiple testing. (XLSX 265 kb)
DOI: 10.6084/m9.figshare.6407258.v1
title: Additional file 7: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S5. Differential expression analysis between autism and control cerebral cortex in the Voineagu et al. dataset. Table of differential expression analysis between autism and control cerebral cortex in the Voineagu et al. dataset, adjusted for RIN, PMI, age, sex, and cortical location (temporal vs. frontal). The analysis was performed using the Bioconductor package limma and adjusted for multiple testing using the Benjamini-Hochberg method. Because several individuals were included twice (for both frontal and temporal cortexes) in this analysis, the analysis was also redone limiting samples only to frontal or temporal cortex. Note that the p values in the cortex-specific analyses are not adjusted for multiple testing. (XLSX 265 kb)
DOI: 10.6084/m9.figshare.6407222
title: Additional file 5: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S4. Synapse pathway and mitochondria pathway genes. The mitochondria pathway genes were downregulated in autism cerebral cortex in Parikshak et al. and were members of the GO “Mitochondrion” term. The synapse pathway genes were also downregulated in Parikshak et al. and were members of the UniProt “Synapse” term. All genes in the synapse pathway and in the related “M12” module from Voineagu et al. [17] were excluded from the mitochondria pathway. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.6407222.v1
title: Additional file 5: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S4. Synapse pathway and mitochondria pathway genes. The mitochondria pathway genes were downregulated in autism cerebral cortex in Parikshak et al. and were members of the GO “Mitochondrion” term. The synapse pathway genes were also downregulated in Parikshak et al. and were members of the UniProt “Synapse” term. All genes in the synapse pathway and in the related “M12” module from Voineagu et al. [17] were excluded from the mitochondria pathway. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.6407204
title: Additional file 4: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S3. DAVID functional annotation clustering analysis of Parikshak et al. downregulated genes. Using the genes downregulated in autism cerebral cortex from Parikshak et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 134 kb)
DOI: 10.6084/m9.figshare.6407204.v1
title: Additional file 4: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S3. DAVID functional annotation clustering analysis of Parikshak et al. downregulated genes. Using the genes downregulated in autism cerebral cortex from Parikshak et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 134 kb)
DOI: 10.6084/m9.figshare.6407192
title: Additional file 4: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Resulting raw variant indel calls from GATK HaplotypeCaller. (VCF 29397 kb)
DOI: 10.6084/m9.figshare.6407192.v1
title: Additional file 4: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Resulting raw variant indel calls from GATK HaplotypeCaller. (VCF 29397 kb)
DOI: 10.6084/m9.figshare.6407183
title: Additional file 3: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S2. DAVID functional annotation clustering analysis of Parikshak et al. upregulated genes. Using the genes upregulated in autism cerebral cortex from Parikshak et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 118 kb)
DOI: 10.6084/m9.figshare.6407183.v1
title: Additional file 3: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S2. DAVID functional annotation clustering analysis of Parikshak et al. upregulated genes. Using the genes upregulated in autism cerebral cortex from Parikshak et al., DAVID functional annotation clustering was performed to generate groups of enriched gene sets. (XLSX 118 kb)
DOI: 10.6084/m9.figshare.6407165
title: Additional file 2: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S1. Properties of the Parikshak, Voineagu, Chow, and Garbett datasets. Table depicting the properties of the datasets analyzed in this study. Properties listed include sample size, number of features in the dataset, brain region, age range, gender, PMI range, RIN cutoff, and the source of the cases. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6407165.v1
title: Additional file 2: of Strong correlation of downregulated genes related to synaptic transmission and mitochondria in post-mortem autism cerebral cortex

description: Table S1. Properties of the Parikshak, Voineagu, Chow, and Garbett datasets. Table depicting the properties of the datasets analyzed in this study. Properties listed include sample size, number of features in the dataset, brain region, age range, gender, PMI range, RIN cutoff, and the source of the cases. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6407150
title: Additional file 3: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Resulting raw variant SNP calls from GATK HaplotypeCaller. (VCF 49825 kb)
DOI: 10.6084/m9.figshare.6407150.v1
title: Additional file 3: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Resulting raw variant SNP calls from GATK HaplotypeCaller. (VCF 49825 kb)
DOI: 10.6084/m9.figshare.6407123
title: Additional file 2: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Table S1. SNP calls resulting from the data filtering pipeline shown in Additional file 1: Figure S1, excluding the accession identification steps. The SNPs correspond to the top row in Table 1. Table S2. Indel calls resulting from the data filtering pipeline shown in Additional file 1: Figure S1, excluding the accession identification steps. (XLSX 2307 kb)
DOI: 10.6084/m9.figshare.6407123.v1
title: Additional file 2: of The importance of genotype identity, genetic heterogeneity, and bioinformatic handling for properly assessing genomic variation in transgenic plants

description: Table S1. SNP calls resulting from the data filtering pipeline shown in Additional file 1: Figure S1, excluding the accession identification steps. The SNPs correspond to the top row in Table 1. Table S2. Indel calls resulting from the data filtering pipeline shown in Additional file 1: Figure S1, excluding the accession identification steps. (XLSX 2307 kb)
DOI: 10.6084/m9.figshare.6407078
title: Additional file 9: of Using in vivo oxidation status of one- and two-component redox relays to determine H2O2 levels linked to signaling and toxicity

description: Tables S2 to S7. Quantification of Western blots. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6407078.v1
title: Additional file 9: of Using in vivo oxidation status of one- and two-component redox relays to determine H2O2 levels linked to signaling and toxicity

description: Tables S2 to S7. Quantification of Western blots. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6407066
title: Additional file 1: of The Trem2 R47H variant confers loss-of-function-like phenotypes in Alzheimer’s disease

description: Table S1. Variant calling for APPPS1–21;Trem2 +/R47H mice for the CRISPR predicted off target gene Rab11fip3, Trem2, and Trem-like genes Treml1, Treml2, and Treml6. “0/1” indicates a heterozygous variant and “./.” indicates no variants detected. Variants detected in Trem2 R47H lines but not APPPS1–21; Trem2+/+ or Trem2+/+ mice were considered to be true. (XLSX 14 kb)