cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6818462.v1
title: Mechanisms of seed mass variation along resource gradients

description: All data and analyses of the manuscript are available here.<br>please download all files to the same working directory for running the R script. Below a brief description of each file<br>1. 'seed_mass_experiment_main_script.R' - this R script includes all the analyses presented in the paper. 2. 'slope_abundance.csv' - this dataset describes community abundance in southern slope along soil depth gradient in Beit Guvrin (described in Kadmon & Ron 2018) the data was collected in four soil depth categories 3. 'slope_seed_mass.csv' - this dataset include seed mass data (in mg) for all species in 'slope_abundance.csv'(mass of zero means no available data)4. 'valley_abundance.csv' - this dataset describes community abundance in northern slope and valley in Beit Guvrin (described in DeMalach et al. 2017) the data was collected in two habitats (northern slope and valley) and include also fertilization and removal manipulation (these manipulations were not analyzed in this manuscript)5. 'valley_seed_mass.csv' - this dataset includes seed mass data(in mg) for all species in 'valley_abundance.csv' (mass of zero means no available data)6. 'mesocosm_abundance.csv' - this dataset describes community abundance in mescosom experiment in Jerusalem (described in Kadmon & Ron 2018) the data was collected for four years in four soil depth categories7. 'mesocosm_seed_mass.csv' - this dataset include seed mass data (in mg) for all species in 'mesocosm_abundance.csv' (mass of zero means no available data)8. 'clipping_abundance.csv' - this dataset describes community abundance in clipping experiment in Beit Guvrin (described in Segre et al. 2016) The dataset include only the third year of the experiment9. 'clipping_seed_mass.csv' - this dataset include seed mass data (in mg) for all species in 'clipping_abundance.csv' (mass of zero means no available data)10.'greenhouse.csv' - this dataset include data on biomass (in mg) of the species in the greenhouse experiment. This include seed mass, shoot biomass after45 days and root and shoot biomass at the end of the experiment. <br><br>contact me for any question:<br>nivdemalach@gmail.com
DOI: 10.6084/m9.figshare.6818453.v2
title: QoS

description: qos data
DOI: 10.6084/m9.figshare.6818426
title: URIs for qualitymeasures.ahrq.gov - website will not be available after 2018-07-16

description: This zip file contains files listing some of the URIs that were available at qualitymeasures.ahrq.gov before it was shut down on 2018-07-16. This list of URIs is necessary for users to find content from that site in web archives.
DOI: 10.6084/m9.figshare.6818453.v1
title: QoS data

description: Data are collected from the data set 2 in "Investigating QoS of Real-World Web Services", which was published in <br>《IEEE Transactions on Services Computing》 , 2014 , 7 (1) :32-39.
DOI: 10.6084/m9.figshare.6818420
title: URIs for www.guideline.gov - website will not be available after 2018-07-16

description: This zip file contains files listing some of the URIs that were available at www.guideline.gov before it was shut down on 2018-07-16. This list of URIs is necessary for users to find content from that site in web archives.
DOI: 10.6084/m9.figshare.6818426.v1
title: URIs for qualitymeasures.ahrq.gov - website will not be available after 2018-07-16

description: This zip file contains files listing some of the URIs that were available at qualitymeasures.ahrq.gov before it was shut down on 2018-07-16. This list of URIs is necessary for users to find content from that site in web archives.
DOI: 10.6084/m9.figshare.6818420.v1
title: URIs for www.guideline.gov - website will not be available after 2018-07-16

description: This zip file contains files listing some of the URIs that were available at www.guideline.gov before it was shut down on 2018-07-16. This list of URIs is necessary for users to find content from that site in web archives.
DOI: 10.6084/m9.figshare.6818396.v1
title: Combined treatment of human multiple myeloma cells with bortezomib and doxorubicin alters the interactome of 20S proteasomes.

description: The proteasome is the key player in targeted degradation of cellular proteins and serves as a therapeutic target for treating several blood malignancies. Although in general, degradation of proteins via the proteasome requires their ubiquitination, a subset of proteins can be degraded independently of their ubiquitination by direct interaction with subunits of the 20S proteasome core. Thus, investigation of the proteasome-associated proteins may help identify novel targets of proteasome degradation and provide important insights into the mechanisms of malignant cell proteostasis. Here, using biochemical purification of proteasomes from multiple myeloma (MM) cells followed by mass-spectrometry we have uncovered 77 proteins in total that specifically interacted with the 20S proteasome via its PSMA3 subunit. Our GST pull-down assays followed by western blots validated the interactions identified by mass-spectrometry. Eleven proteins were confirmed to bind PSMA3 only upon apoptotic conditions induced by a combined treatment with the proteasome inhibitor, bortezomib, and genotoxic drug, doxorubicin. Nine of these eleven proteins contained bioinformatically predicted intrinsically disordered regions thus making them susceptible to ubiquitin-independent degradation. Importantly, among those proteins five interacted with the ubiquitin binding affinity matrix suggesting that these proteins may also be ubiquitinylated and hence degraded via the ubiquitin-dependent pathway. Collectively, these PSMA3-interacting proteins represent novel potential substrates for 20S proteasomes upon apoptosis. Furthermore, these data may shed light on the molecular mechanisms of cellular response to chemotherapy.
DOI: 10.6084/m9.figshare.6818363
title: MOESM4 of Sperm collection in Black-legged Kittiwakes and characterization of sperm velocity and morphology

description: Additional file 4. Additional dataset.
DOI: 10.6084/m9.figshare.6818363.v1
title: MOESM4 of Sperm collection in Black-legged Kittiwakes and characterization of sperm velocity and morphology

description: Additional file 4. Additional dataset.
DOI: 10.6084/m9.figshare.6818348
title: Additional file 1: of Age-related morphometrical peculiarities of Lithuanian women’s primordial ovarian follicles

description: Table S1. Morphometrical parameters of primordial ovarian follicles in 15–46 year old women described in the Figs. 2 and 3 (mean ± SD). (XLS 34 kb)
DOI: 10.6084/m9.figshare.6818318
title: Supplement of paper "Making Infrared Face Recognition Robust Against Perceptual Image Quality Degradation", and LWIR facial datasets files.

description: These files are supplementary to the research projects involving LWIR face recognition and thermal-visual spectrum fusion carried in the Pontificia Universidad Javeriana at Cali, Colombia.<br>The 'supplement.pdf' document contains supplementary results of the study on image quality assessment applied on infrared face recognition systems, described in the paper "Making Infrared Face Recognition Robust Against Perceptual Image Quality Degradation".<br>The ZIP files correspond to the two datasets of Long Wave Infrared (LWIR) face images created at the Pontificia Universidad Javeriana at Cali, Colombia from 2015 to 2016. The PUJ-T360 collection was used in a study on the influence of image quality distortions on thermal face recognition and application of Image Quality Assessment techniques for enhancing a face recognition algorithm (http://bit.ly/IQA_IR_FR).<br>Both data sets comprises aproximately 800 LWIR and visual-spectrum images from 40 subjects (10 thermal and 10 visible images per subject). The images were acquired with two different illumination conditions (lights on and off), three different poses (frontal, left and right profiles) and three different expressions (neutral, smiling and surprised). Additional images with eyeglasses were included for a few subjects. LWIR and visual-spectrum images in PUJ-FONE are co-registered (aligned); images in PUJ-T360 are not.<br>The PUJ-T360 collection was acquired using a FLIR T360 camera, and for the PUJ-FONE we used a FLIR ONE (2nd. generation) camera, attached to an iOS device (Apple iPhone or iPad).
DOI: 10.6084/m9.figshare.6818348.v1
title: Additional file 1: of Age-related morphometrical peculiarities of Lithuanian women’s primordial ovarian follicles

description: Table S1. Morphometrical parameters of primordial ovarian follicles in 15–46 year old women described in the Figs. 2 and 3 (mean ± SD). (XLS 34 kb)
DOI: 10.6084/m9.figshare.6818312
title: Beard's Creek Impoundment Drawdown [2018-07-11]

description: Aerial imagery of the Beard's Creek impoundment drawdown in Durham, NH off of Coe Dr. The drawdown occurred around May 7, 2018, and consisted of removing stop logs from the Route 108 dam to permanently lower the water level in the impoundment by 2 feet. This imagery was collected July 11, 2018, and illustrates how the impoundment area is adjusting from a lentic to lotic environment. Vegetation is establishing throughout the exposed sediments and on the new channel banks compared to the more barren impoundment in the May 30, 2018 imagery seen here: https://figshare.com/articles/Beard_s_Creek_Impoundment_Drawdown_2018-05-30_/6801116. The orthomosaic was created using 252 images collected at 250 ft above ground level using a DJI Phantom 3 Professional small unmanned aerial system. The orthomosaic has a spatial resolution of 3.16 cm/pix. Automated flight paths were executed using the Litchi flight app that provided sufficient and consistent side and frontal overlap between nadir images. Flight paths were planned using DJIFlightPlanner. Sets of angled (20 degrees from nadir) photos were collected with automated flight paths to supplement the nadir images for structure-from-motion photogrammetry. The same flight paths were used to collect this imagery as the May 30 imagery. Images were processed in Agisoft PhotoScan Professional. Imagery was georeferenced using the drone's built in gps (WGS84) and is sufficient for illustrative purposes to overlay with the May 30, 2018 imagery but will not perfectly align. Private residences and yards have been cropped out of the imagery. Thanks to Scott Greenwood, Sonnet Agran-St.Pierre, & Keelin Berger for assisting fieldwork and processing.<br>The first file (jpg) is a screenshot to provide a preview on figshare. The second file (tif) is the full resolution, georeferenced orthomosaic.
DOI: 10.6084/m9.figshare.6818318.v1
title: Supplement of paper "Making Infrared Face Recognition Robust Against Perceptual Image Quality Degradation", and LWIR facial datasets files.

description: These files are supplementary to the research projects involving LWIR face recognition and thermal-visual spectrum fusion carried in the Pontificia Universidad Javeriana at Cali, Colombia.<br>The 'supplement.pdf' document contains supplementary results of the study on image quality assessment applied on infrared face recognition systems, described in the paper "Making Infrared Face Recognition Robust Against Perceptual Image Quality Degradation".<br>The ZIP files correspond to the two datasets of Long Wave Infrared (LWIR) face images created at the Pontificia Universidad Javeriana at Cali, Colombia from 2015 to 2016. The PUJ-T360 collection was used in a study on the influence of image quality distortions on thermal face recognition and application of Image Quality Assessment techniques for enhancing a face recognition algorithm (http://bit.ly/IQA_IR_FR).<br>Both data sets comprises aproximately 800 LWIR and visual-spectrum images from 40 subjects (10 thermal and 10 visible images per subject). The images were acquired with two different illumination conditions (lights on and off), three different poses (frontal, left and right profiles) and three different expressions (neutral, smiling and surprised). Additional images with eyeglasses were included for a few subjects. LWIR and visual-spectrum images in PUJ-FONE are co-registered (aligned); images in PUJ-T360 are not.<br>The PUJ-T360 collection was acquired using a FLIR T360 camera, and for the PUJ-FONE we used a FLIR ONE (2nd. generation) camera, attached to an iOS device (Apple iPhone or iPad).
DOI: 10.6084/m9.figshare.6818312.v2
title: Beard's Creek Impoundment Drawdown [2018-07-11]

description: Aerial imagery of the Beard's Creek impoundment drawdown in Durham, NH off of Coe Dr. The drawdown occurred around May 7, 2018, and consisted of removing stop logs from the Route 108 dam to permanently lower the water level in the impoundment by 2 feet. This imagery was collected July 11, 2018, and illustrates how the impoundment area is adjusting from a lentic to lotic environment. Vegetation is establishing throughout the exposed sediments and on the new channel banks compared to the more barren impoundment in the May 30, 2018 imagery seen here: https://figshare.com/articles/Beard_s_Creek_Impoundment_Drawdown_2018-05-30_/6801116. The orthomosaic was created using 252 images collected at 250 ft above ground level using a DJI Phantom 3 Professional small unmanned aerial system. The orthomosaic has a spatial resolution of 3.16 cm/pix. Automated flight paths were executed using the Litchi flight app that provided sufficient and consistent side and frontal overlap between nadir images. Flight paths were planned using DJIFlightPlanner. Sets of angled (20 degrees from nadir) photos were collected with automated flight paths to supplement the nadir images for structure-from-motion photogrammetry. The same flight paths were used to collect this imagery as the May 30 imagery. Images were processed in Agisoft PhotoScan Professional. Imagery was georeferenced using the drone's built in gps (WGS84) and is sufficient for illustrative purposes to overlay with the May 30, 2018 imagery but will not perfectly align. Private residences and yards have been cropped out of the imagery. Thanks to Scott Greenwood, Sonnet Agran-St.Pierre, & Keelin Berger for assisting fieldwork and processing.<br>The first file (jpg) is a screenshot to provide a preview on figshare. The second file (tif) is the full resolution, georeferenced orthomosaic.
DOI: 10.6084/m9.figshare.6818288
title: Metabolic and mass ratios for pairs of interacting species

description: Metabolic and mass ratios for pairs of interacting species. <br><br>See Supplementary Materials of Barbier and Loreau 2018 for a detailed description: https://doi.org/10.1101/361246 <br><br>(Two files: Match between metabolic data and interaction database performed either at the species level or at the genus level)<br><br>Compiled with permission from (see References)<br>Makarieva et al. PNAS 2008 SI Tables<br>White and Seymour PNAS 2003 SI Table 1<br>GloBI Database - Poelen et al. Ecological informatics 2014 <br>
DOI: 10.6084/m9.figshare.6818288.v1
title: Metabolic and mass ratios for pairs of interacting species

description: Metabolic and mass ratios for pairs of interacting species. <br><br>See Supplementary Materials of Barbier and Loreau 2018 for a detailed description: https://doi.org/10.1101/361246 <br><br>(Two files: Match between metabolic data and interaction database performed either at the species level or at the genus level)<br><br>Compiled with permission from (see References)<br>Makarieva et al. PNAS 2008 SI Tables<br>White and Seymour PNAS 2003 SI Table 1<br>GloBI Database - Poelen et al. Ecological informatics 2014 <br>
DOI: 10.6084/m9.figshare.6818231
title: Bioclimatic classification of US vegetation along a coast-to-coast macrotransect crossing central United States. I: Mediterranean vegetation

description: This report presents the first of two parts of a bioclimatic classification of the vegetation of the United States. Using a geographical information system, 987 weather stations were located along a longitudinal macrotransect from the shores of the Atlantic to Pacific on four maps: Map of the Physiographic Divisions of the Conterminous US, US Potential Natural Vegetation Map, US Ecoregion Map, and Terrestrial Ecosystems-Isobioclimates Map of the Conterminous United States. Based on these maps, bibliographic resources and field data, we deduced the potential natural vegetation (PNV) of each weather station; then, we assigned the different PNV types to alliance or association levels using the US National Vegetation Classification (USNVC). In a next step, USNVC groups were related with similar level phytosociological syntaxa described in the study area. The bioclimatic distribution of the USNVC units defined was then interpreted using the bioclimatic classification proposed in successive approximations by S. Rivas-Martínez. The distribution of USNVC alliances was mainly linked to the macrobioclimates (Mediterranean, Temperate, and Tropical) of the longitudinal gradient examined, though some edaphic factors induced the appearance of specialized plant groups. Herein, we present our data for the Mediterranean macrobioclimate, in which 53 alliances and 28 isobioclimates were identified.
DOI: 10.6084/m9.figshare.6818228
title: Contingent attentional engagement: stimulus- and goal-driven capture have qualitatively different consequences - data from 3 experiments

description: Data from three experiments
DOI: 10.6084/m9.figshare.6818231.v1
title: Bioclimatic classification of US vegetation along a coast-to-coast macrotransect crossing central United States. I: Mediterranean vegetation

description: This report presents the first of two parts of a bioclimatic classification of the vegetation of the United States. Using a geographical information system, 987 weather stations were located along a longitudinal macrotransect from the shores of the Atlantic to Pacific on four maps: Map of the Physiographic Divisions of the Conterminous US, US Potential Natural Vegetation Map, US Ecoregion Map, and Terrestrial Ecosystems-Isobioclimates Map of the Conterminous United States. Based on these maps, bibliographic resources and field data, we deduced the potential natural vegetation (PNV) of each weather station; then, we assigned the different PNV types to alliance or association levels using the US National Vegetation Classification (USNVC). In a next step, USNVC groups were related with similar level phytosociological syntaxa described in the study area. The bioclimatic distribution of the USNVC units defined was then interpreted using the bioclimatic classification proposed in successive approximations by S. Rivas-Martínez. The distribution of USNVC alliances was mainly linked to the macrobioclimates (Mediterranean, Temperate, and Tropical) of the longitudinal gradient examined, though some edaphic factors induced the appearance of specialized plant groups. Herein, we present our data for the Mediterranean macrobioclimate, in which 53 alliances and 28 isobioclimates were identified.
DOI: 10.6084/m9.figshare.6818228.v1
title: Contingent attentional engagement: stimulus- and goal-driven capture have qualitatively different consequences - data from 3 experiments

description: Data from three experiments
DOI: 10.6084/m9.figshare.6818135
title: First appearance deceives many: disentangling the Hemidactylus triedrus species complex using an integrated approach

description: <b>First appearance deceives many: disentangling the <i>Hemidactylus triedrus </i>species complex using an integrated approach </b>
DOI: 10.6084/m9.figshare.6818135.v1
title: First appearance deceives many: disentangling the Hemidactylus triedrus species complex using an integrated approach

description: <b>First appearance deceives many: disentangling the <i>Hemidactylus triedrus </i>species complex using an integrated approach </b>
DOI: 10.6084/m9.figshare.6818006
title: Partners in Health (PiH) Data

description: Data from 2017 patient cohort presenting to the VU Osteopathy Clinic who completed the Partners in Health questionnaire.
DOI: 10.6084/m9.figshare.6818006.v1
title: Partners in Health (PiH) Data

description: Data from 2017 patient cohort presenting to the VU Osteopathy Clinic who completed the Partners in Health questionnaire.
DOI: 10.6084/m9.figshare.6817865
title: Additional file 1: of Levels and prognostic impact of circulating markers of inflammation, endothelial activation and extracellular matrix remodelling in patients with lung cancer and chronic obstructive pulmonary disease

description: Table S1. Serum protein levels. All data from the serum analyses are presented. This includes results for all proteins and all samples. (XLSX 64 kb)
DOI: 10.6084/m9.figshare.6817865.v1
title: Additional file 1: of Levels and prognostic impact of circulating markers of inflammation, endothelial activation and extracellular matrix remodelling in patients with lung cancer and chronic obstructive pulmonary disease

description: Table S1. Serum protein levels. All data from the serum analyses are presented. This includes results for all proteins and all samples. (XLSX 64 kb)
DOI: 10.6084/m9.figshare.6817853
title: Additional file 9: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S8. Tabulation of 10,744 orthologous genes between Bombyx mori and Drosophila melanogaster. Data was integrated from OrthoDB [107], g:Orth [40], OrthoMCL [108] and manually curated, literature-based data. The final dataset was enriched with the phenotypic data derived from gene silencing by RNAi in an RG-specific manner [32] (column P to S) and RNA-seq data from Dm [31] (column T to V). (XLSX 2049 kb)
DOI: 10.6084/m9.figshare.6817853.v1
title: Additional file 9: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S8. Tabulation of 10,744 orthologous genes between Bombyx mori and Drosophila melanogaster. Data was integrated from OrthoDB [107], g:Orth [40], OrthoMCL [108] and manually curated, literature-based data. The final dataset was enriched with the phenotypic data derived from gene silencing by RNAi in an RG-specific manner [32] (column P to S) and RNA-seq data from Dm [31] (column T to V). (XLSX 2049 kb)
DOI: 10.6084/m9.figshare.6817847
title: Additional file 7: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S7. Tabulation of 650 loci of Bombyx mori genone whose transcript abundance in PG cells was used to determine the genes expressed in these cells. Data from Bowtie2 (column F and G) [27, 28] and Cufflinks (column D and E) was integrated with qPCR results and used to plot Fig. 1d and e. (XLSX 94 kb)
DOI: 10.6084/m9.figshare.6817844
title: Additional file 6: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S6. Tabulation of 98 unique differentially spliced loci based on the TransDecoder and Cufflinks output. Data from Additional file 5: Table S5 was manually annotated to filter out duplicate entries based on locus and protein sequence. In cases where a gene model was included between the test ID coordinates (Column C), this is indicated using the nomenclature of KAIKObase ( http://sgp.dna.affrc.go.jp/KAIKObase/ ) or it is left empty. Each test was annotated with its corresponding data from the Bowtie2 output [28] (columns R to Y) and the results of the Blastp analysis against the Bombyx mori protein reference sequences (NCBI annotation release 102) (columns Z and AA). (XLSX 131 kb)
DOI: 10.6084/m9.figshare.6817847.v1
title: Additional file 7: of Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands

description: Table S7. Tabulation of 650 loci of Bombyx mori genone whose transcript abundance in PG cells was used to determine the genes expressed in these cells. Data from Bowtie2 (column F and G) [27, 28] and Cufflinks (column D and E) was integrated with qPCR results and used to plot Fig. 1d and e. (XLSX 94 kb)