cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11358098
title: MOESM3 of scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

description: Additional file 3: Table S4. Prediction results of pancreatic cells without Seurat alignment. Table S6. Prediction results using Baron dataset as reference. Table S7. Classification performance of scmap-cluster using the Baron dataset as training. Table S8. Classification performance of scmap-cell using the Baron dataset as training. Table S9. Classification performance of caSTLe using the Baron dataset as training. Table S10. Classification performance of singleCellNet using the Baron dataset as training. Table S11. Classification performance of scID using the Baron dataset as training. Table S14. Differentially expressed genes between unassigned cells by scPred and remaining cord blood-derived cells. Table S15. Gene ontology overrepresentation results of overexpressed genes from unassigned cells.
DOI: 10.6084/m9.figshare.11358101
title: MOESM4 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 4 Table S3. Primers Used
DOI: 10.6084/m9.figshare.11358098.v1
title: MOESM3 of scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

description: Additional file 3: Table S4. Prediction results of pancreatic cells without Seurat alignment. Table S6. Prediction results using Baron dataset as reference. Table S7. Classification performance of scmap-cluster using the Baron dataset as training. Table S8. Classification performance of scmap-cell using the Baron dataset as training. Table S9. Classification performance of caSTLe using the Baron dataset as training. Table S10. Classification performance of singleCellNet using the Baron dataset as training. Table S11. Classification performance of scID using the Baron dataset as training. Table S14. Differentially expressed genes between unassigned cells by scPred and remaining cord blood-derived cells. Table S15. Gene ontology overrepresentation results of overexpressed genes from unassigned cells.
DOI: 10.6084/m9.figshare.11358101.v1
title: MOESM4 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 4 Table S3. Primers Used
DOI: 10.6084/m9.figshare.11358107.v1
title: MOESM5 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 5. RLCK Amino acid sequences for Fig. 6 phylogenetic tree
DOI: 10.6084/m9.figshare.11358083
title: MOESM2 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 2: Table S1. BAR Expression Angler using the stigma specific SLR1 gene as a bait
DOI: 10.6084/m9.figshare.11358092
title: MOESM3 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 3: Table S2. Polymorphism searches across the 1001 genomes for At-BKN1
DOI: 10.6084/m9.figshare.11358083.v1
title: MOESM2 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 2: Table S1. BAR Expression Angler using the stigma specific SLR1 gene as a bait
DOI: 10.6084/m9.figshare.11358092.v1
title: MOESM3 of Investigations into a putative role for the novel BRASSIKIN pseudokinases in compatible pollen-stigma interactions in Arabidopsis thaliana

description: Additional file 3: Table S2. Polymorphism searches across the 1001 genomes for At-BKN1
DOI: 10.6084/m9.figshare.11357990
title: MOESM3 of Mapping the prevalence and nature of drug related problems among hospitalised children in the United Kingdom: a systematic review

description: Additional file 3. Summary of study quality.
DOI: 10.6084/m9.figshare.11357996
title: MOESM1 of IntelliPatent: a web-based intelligent system for fast chemical patent claim drafting

description: Additional file 1. Example compounds in the composition patent of omeprazole. The file contains all the structures of 30 example compounds from the patent of omeprazole (EP0005129B1) in MOL SD file format. This file was used as input in the case study of omeprazole.
DOI: 10.6084/m9.figshare.11357990.v1
title: MOESM3 of Mapping the prevalence and nature of drug related problems among hospitalised children in the United Kingdom: a systematic review

description: Additional file 3. Summary of study quality.
DOI: 10.6084/m9.figshare.11357996.v1
title: MOESM1 of IntelliPatent: a web-based intelligent system for fast chemical patent claim drafting

description: Additional file 1. Example compounds in the composition patent of omeprazole. The file contains all the structures of 30 example compounds from the patent of omeprazole (EP0005129B1) in MOL SD file format. This file was used as input in the case study of omeprazole.
DOI: 10.6084/m9.figshare.11357984
title: MOESM2 of Mapping the prevalence and nature of drug related problems among hospitalised children in the United Kingdom: a systematic review

description: Additional file 2. Study Summary.
DOI: 10.6084/m9.figshare.11357984.v1
title: MOESM2 of Mapping the prevalence and nature of drug related problems among hospitalised children in the United Kingdom: a systematic review

description: Additional file 2. Study Summary.
DOI: 10.6084/m9.figshare.11357951
title: MOESM1 of Disease surveillance using online news: an extended study of dengue fever in India

description: Additional file 1: Basic Information of India. Table S1. List of Indian States and Union Territories. Figure S1. Map of Indian States and Union Territories. Figure S2. Map of Indian population density. Figure S3. Averaged annual rainfall map of India (2013-2016). The red arrows are monsoon move directions during summer.
DOI: 10.6084/m9.figshare.11357951.v1
title: MOESM1 of Disease surveillance using online news: an extended study of dengue fever in India

description: Additional file 1: Basic Information of India. Table S1. List of Indian States and Union Territories. Figure S1. Map of Indian States and Union Territories. Figure S2. Map of Indian population density. Figure S3. Averaged annual rainfall map of India (2013-2016). The red arrows are monsoon move directions during summer.
DOI: 10.6084/m9.figshare.11357909
title: Dataset for: A Toxicokinetic Framework and Analysis Tool for Interpreting OECD-305 Dietary Bioaccumulation Tests

description: The OECD-305 guidelines for bioaccumulation testing in fish include the option to conduct a dietary test for assessing a chemical’s bioaccumulation behavior. However, the one-compartment toxicokinetic model that is used in the guidelines to analyze the results from dietary bioaccumulation tests is not consistent with the current state of the science, experimental practices and information needs for bioaccumulation and risk assessment. This study presents (i) a two-compartment toxicokinetic modeling framework for describing the bioaccumulation of neutral hydrophobic organic chemicals in fish; and (ii) an associated toxicokinetic analysis tool (ADME-B calculator) for the analysis and interpretation of dietary bioaccumulation test data from OECD305 dietary tests. The model framework and ADME-B calculator are illustrated by analysis of fish dietary bioaccumulation test data for 238 substances representing different structural classes and susceptibilities to biotransformation. The absorption, distribution, metabolism and excretion (ADME) of the chemicals is determined from the dietary bioaccumulation tests and bioconcentration factors, biomagnification factors, somatic and intestinal biotransformation rates are presented. The two-compartment fish toxicokinetic model can account for the effect of the exposure pathway on bioaccumulation, which the one-compartment model cannot. This insight is important for applying a weight-of-evidence approach to bioaccumulation assessment where information from aqueous and dietary test endpoints can be integrated to improve the evaluation of a chemical’s bioaccumulation potential.
DOI: 10.6084/m9.figshare.11357909.v1
title: Dataset for: A Toxicokinetic Framework and Analysis Tool for Interpreting OECD-305 Dietary Bioaccumulation Tests

description: The OECD-305 guidelines for bioaccumulation testing in fish include the option to conduct a dietary test for assessing a chemical’s bioaccumulation behavior. However, the one-compartment toxicokinetic model that is used in the guidelines to analyze the results from dietary bioaccumulation tests is not consistent with the current state of the science, experimental practices and information needs for bioaccumulation and risk assessment. This study presents (i) a two-compartment toxicokinetic modeling framework for describing the bioaccumulation of neutral hydrophobic organic chemicals in fish; and (ii) an associated toxicokinetic analysis tool (ADME-B calculator) for the analysis and interpretation of dietary bioaccumulation test data from OECD305 dietary tests. The model framework and ADME-B calculator are illustrated by analysis of fish dietary bioaccumulation test data for 238 substances representing different structural classes and susceptibilities to biotransformation. The absorption, distribution, metabolism and excretion (ADME) of the chemicals is determined from the dietary bioaccumulation tests and bioconcentration factors, biomagnification factors, somatic and intestinal biotransformation rates are presented. The two-compartment fish toxicokinetic model can account for the effect of the exposure pathway on bioaccumulation, which the one-compartment model cannot. This insight is important for applying a weight-of-evidence approach to bioaccumulation assessment where information from aqueous and dietary test endpoints can be integrated to improve the evaluation of a chemical’s bioaccumulation potential.
DOI: 10.6084/m9.figshare.11357867
title: Global Summary of Day (GSOD) from the National Climatic Data Center (NCDC)

description: The daily observation data are the gauge data from the Global Summary of Day (GSOD) from the National Climatic Data Center (NCDC). This dataset includes daily mean visibility (VIS), sea level pressure (SLP), temperature (TEMP), dew-point temperature (DEWP), wind speed (WS) and other meteorological phenomena as well as fog, rain or drizzle, snow or ice pellets, hail and other extreme weather.
DOI: 10.6084/m9.figshare.11357837
title: Roary (default settings): gene presence and absence of the whole collection

description: Roary: gene presence and absence of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357834
title: Roary (default settings): summary statistics for per GPSC

description: Roary: count of core and accessory genes per GPSC
DOI: 10.6084/m9.figshare.11357867.v1
title: Global Summary of Day (GSOD) from the National Climatic Data Center (NCDC)

description: The daily observation data are the gauge data from the Global Summary of Day (GSOD) from the National Climatic Data Center (NCDC). This dataset includes daily mean visibility (VIS), sea level pressure (SLP), temperature (TEMP), dew-point temperature (DEWP), wind speed (WS) and other meteorological phenomena as well as fog, rain or drizzle, snow or ice pellets, hail and other extreme weather.
DOI: 10.6084/m9.figshare.11357828
title: Roary (default settings): summary statistics for the whole collection

description: A table to show the counts of core and accessory genes of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357810
title: Wave-equation Migration Velocity Analysis Using Radon-Domain Common-Image Gathers

description: The accuracy of the background velocity analysis is critical to image the subsurface structure in seismology. Wave-equation migration velocity analysis using source-domain common-image gathers requires picking the relative moveouts based on semblance analysis. However, the picking process is complex and time-consuming. To avoid picking and maintain efficiency in generating CIGs, an automatic wave-equation migration velocity analysis method is proposed utilizing the focusing properties of the Radon-domain common-image gathers. <br>Seismic events in the Radon-domain common-image gathers appear focused if an accurate migration velocity model is used; otherwise, the resultant events will be unfocused. The objective function is defined in the Radon domain to measure focus of the common image gathers automatically. The proposed migration velocity analysis method links the defocusing information to the migration velocity update under the assumption that model perturbations only result in slope shifts in the common-image gathers. This method provides a reasonably accurate background velocity model for imaging and full-waveform inversion without requiring an accurate initial velocity model. Tests on synthetic and field data demonstrate the effectiveness of the method. This method is tolerable to both inaccurate initial velocity models and the lack of low-frequency data.
DOI: 10.6084/m9.figshare.11357834.v1
title: Roary: count of core and accessory genes per GPSC

description: Roary: count of core and accessory genes per GPSC
DOI: 10.6084/m9.figshare.11357810.v1
title: Wave-equation Migration Velocity Analysis Using Radon-Domain Common-Image Gathers

description: The accuracy of the background velocity analysis is critical to image the subsurface structure in seismology. Wave-equation migration velocity analysis using source-domain common-image gathers requires picking the relative moveouts based on semblance analysis. However, the picking process is complex and time-consuming. To avoid picking and maintain efficiency in generating CIGs, an automatic wave-equation migration velocity analysis method is proposed utilizing the focusing properties of the Radon-domain common-image gathers. <br>Seismic events in the Radon-domain common-image gathers appear focused if an accurate migration velocity model is used; otherwise, the resultant events will be unfocused. The objective function is defined in the Radon domain to measure focus of the common image gathers automatically. The proposed migration velocity analysis method links the defocusing information to the migration velocity update under the assumption that model perturbations only result in slope shifts in the common-image gathers. This method provides a reasonably accurate background velocity model for imaging and full-waveform inversion without requiring an accurate initial velocity model. Tests on synthetic and field data demonstrate the effectiveness of the method. This method is tolerable to both inaccurate initial velocity models and the lack of low-frequency data.
DOI: 10.6084/m9.figshare.11357834.v2
title: Roary (default settings): count of core and accessory genes per GPSC

description: Roary: count of core and accessory genes per GPSC
DOI: 10.6084/m9.figshare.11357837.v1
title: Roary: gene presence and absence of the whole collection

description: Roary: gene presence and absence of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357786
title: Current, steady-state and historical weathering rates of base cations at two forest sites in northern and southern Sweden: A comparison of three methods

description: Reliable and accurate methods for estimating soil mineral weathering rates are required tools in evaluating the sustainability of increased harvesting of forest biomass and assessments of critical loads of acidity. A variety of methods that differ in concept, temporal and spatial scale and data requirements are available for measuring weathering rates. In this study, causes of discrepancies in weathering rates between methods were analyzed and were classified as being either conceptual (inevitable) or random. The release rates of base cations (BC; Ca, Mg, K, Na) by weathering were estimated in podsolised glacial tills at two experimental forest sites, Asa and Flakaliden, in southern and northern Sweden, respectively. Three different methods were used: (i) historical weathering since deglaciation estimated by the depletion method, using Zr as assumed inert reference; (ii) steady-state weathering rate estimated with the PROFILE model, based on quantitative analysis of soil mineralogy; and (iii) BC budget at stand scale, using measured deposition, leaching and changes in base cation stocks in biomass and soil over a period of 12 years. The data available here contains the data used in the BC budget estimate of weathering rates.
DOI: 10.6084/m9.figshare.11357828.v1
title: Roary: count of core and accessory genes of the whole collection

description: A table to show the counts of core and accessory genes of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357786.v1
title: Current, steady-state and historical weathering rates of base cations at two forest sites in northern and southern Sweden: A comparison of three methods

description: Reliable and accurate methods for estimating soil mineral weathering rates are required tools in evaluating the sustainability of increased harvesting of forest biomass and assessments of critical loads of acidity. A variety of methods that differ in concept, temporal and spatial scale and data requirements are available for measuring weathering rates. In this study, causes of discrepancies in weathering rates between methods were analyzed and were classified as being either conceptual (inevitable) or random. The release rates of base cations (BC; Ca, Mg, K, Na) by weathering were estimated in podsolised glacial tills at two experimental forest sites, Asa and Flakaliden, in southern and northern Sweden, respectively. Three different methods were used: (i) historical weathering since deglaciation estimated by the depletion method, using Zr as assumed inert reference; (ii) steady-state weathering rate estimated with the PROFILE model, based on quantitative analysis of soil mineralogy; and (iii) BC budget at stand scale, using measured deposition, leaching and changes in base cation stocks in biomass and soil over a period of 12 years. The data available here contains the data used in the BC budget estimate of weathering rates.
DOI: 10.6084/m9.figshare.11357828.v3
title: Roary (default settings): summary statistics for the whole collection

description: A table to show the counts of core and accessory genes of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357738
title: NCEP-NCAR Reanalysis 1

description: The global NCEP/NCAR reanalysis data of monthly SLP, zonal and meridional winds at 850 hPa (UV850) and geopotential height field at 500 hPa (H500) from November 1984 to February 2018 are used to discuss the high-frequency correlation between visibility and atmospheric circulation index as well as meteorological parameters.Moreover, the daily SLP, vertical velocity (Ω), RH, H500 and surface temperature (Ts) are used to discuss the differences between the regional haze days and the regional clean days in FWP.
DOI: 10.6084/m9.figshare.11357828.v2
title: Roary (default settings): count of core and accessory genes of the whole collection

description: A table to show the counts of core and accessory genes of the whole collection (n=13,454)
DOI: 10.6084/m9.figshare.11357738.v1
title: NCEP-NCAR Reanalysis 1

description: The global NCEP/NCAR reanalysis data of monthly SLP, zonal and meridional winds at 850 hPa (UV850) and geopotential height field at 500 hPa (H500) from November 1984 to February 2018 are used to discuss the high-frequency correlation between visibility and atmospheric circulation index as well as meteorological parameters.Moreover, the daily SLP, vertical velocity (Ω), RH, H500 and surface temperature (Ts) are used to discuss the differences between the regional haze days and the regional clean days in FWP.
DOI: 10.6084/m9.figshare.11357699
title: top law colleges in bangalore

description: law courses in bangalore:The ABBS School of Law has started from the academic year 2018 – 19 under the aegis of Samagra Sikshana Samithi Trust. The Trust started the institution with a cherished ambition to impart legal education which is a very important step towards spreading legal awareness and empowering the helpless in the society. The College is affiliated to Karnataka State Law University, Hubballi and recognized by Bar Council of India, New Delhi. The college has a Governing Council duly constituted by Samagra Sikshana Samithi Trust. All the members of the Governing Council are accomplished academicians, legal luminaries, management experts and persons of eminence in public service. Governing Council meets regularly two times a year to review academic and administrative work.top law colleges in bangalore<br>best law colleges in bangalore<br><br>
DOI: 10.6084/m9.figshare.11357699.v1
title: top law colleges in bangalore

description: law courses in bangalore:The ABBS School of Law has started from the academic year 2018 – 19 under the aegis of Samagra Sikshana Samithi Trust. The Trust started the institution with a cherished ambition to impart legal education which is a very important step towards spreading legal awareness and empowering the helpless in the society. The College is affiliated to Karnataka State Law University, Hubballi and recognized by Bar Council of India, New Delhi. The college has a Governing Council duly constituted by Samagra Sikshana Samithi Trust. All the members of the Governing Council are accomplished academicians, legal luminaries, management experts and persons of eminence in public service. Governing Council meets regularly two times a year to review academic and administrative work.top law colleges in bangalore<br>best law colleges in bangalore<br><br>
DOI: 10.6084/m9.figshare.11357678
title: Climate Prediction Center of the National Oceanic and Atmospheric Administration

description: the data of the Northern Hemisphere teleconnection patterns, including the Arctic Oscillation (AO) index, North Atlantic Oscillation (NAO) index, East Atlantic pattern (EA) index, East Atlantic-Western Russia pattern (EAWR) index, East Pacific-North Pacific pattern (EPNP) index and Polar-Eurasian pattern (PEU) index are collected from the Climate Prediction Center of the National Oceanic and Atmospheric Administration (NOAA)
DOI: 10.6084/m9.figshare.11357684
title: Quantifying subsurface water movement and contributions in a headwater catchment An integrated isotope and numerical modeling approach.xlsx

description: Data associated with publication titled "Quantifying subsurface water movement and contributions in a headwater catchment: An integrated isotope and numerical modeling approach".
DOI: 10.6084/m9.figshare.11357675
title: ERA-5 Reanalysis

description: In order to study the relationship between the boundary layer height (BLH), the RH of the lower troposphere and the visibility, the ERA-5 reanalysis data of the monthly RH from 1000 to 500 hPa (16 pressure levels) and BLH are used
DOI: 10.6084/m9.figshare.11357678.v1
title: Climate Prediction Center of the National Oceanic and Atmospheric Administration

description: the data of the Northern Hemisphere teleconnection patterns, including the Arctic Oscillation (AO) index, North Atlantic Oscillation (NAO) index, East Atlantic pattern (EA) index, East Atlantic-Western Russia pattern (EAWR) index, East Pacific-North Pacific pattern (EPNP) index and Polar-Eurasian pattern (PEU) index are collected from the Climate Prediction Center of the National Oceanic and Atmospheric Administration (NOAA)
DOI: 10.6084/m9.figshare.11357684.v1
title: WRR_Quantifying subsurface water movement and contributions in a headwater catchment An integrated isotope and numerical modeling approach.xlsx

description: Data associated with publication submitted to Water Resources Research titled "Quantifying subsurface water movement and contributions in a headwater catchment: An integrated isotope and numerical modeling approach".