cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22877590.v1
title: Additional file 1 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 1: Fig. S1. Reads distribution of each sample on genome.
DOI: 10.6084/m9.figshare.22877593
title: Additional file 2 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 2: Fig. S2. The statistics of whole differentially expressed genes.
DOI: 10.6084/m9.figshare.22877593.v1
title: Additional file 2 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 2: Fig. S2. The statistics of whole differentially expressed genes.
DOI: 10.6084/m9.figshare.22877596
title: Additional file 3 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 3: Fig. S3. MAPK signaling pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877596.v1
title: Additional file 3 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 3: Fig. S3. MAPK signaling pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877599
title: Additional file 4 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 4: Fig. S4. Plant hormone signal transduction pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877599.v1
title: Additional file 4 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 4: Fig. S4. Plant hormone signal transduction pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877602
title: Additional file 5 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 5: Fig. S5. Nitrogen metabolism pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877602.v1
title: Additional file 5 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 5: Fig. S5. Nitrogen metabolism pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877605
title: Additional file 6 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 6: Fig. S6. Sulfur metabolism pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877605.v1
title: Additional file 6 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 6: Fig. S6. Sulfur metabolism pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877608
title: Additional file 7 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 7: Fig. S7. Starch metabolism and sucrose pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877608.v1
title: Additional file 7 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 7: Fig. S7. Starch metabolism and sucrose pathway in N1vs N0.
DOI: 10.6084/m9.figshare.22877611
title: Additional file 8 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 8: Fig. S8. Plant hormone signal transduction pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877611.v1
title: Additional file 8 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 8: Fig. S8. Plant hormone signal transduction pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877614.v1
title: Additional file 9 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 9: Fig. S9. Nitrogen metabolism pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877617
title: Additional file 10 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 10: Fig. S10. Protein export pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877617.v1
title: Additional file 10 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 10: Fig. S10. Protein export pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877614
title: Additional file 9 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 9: Fig. S9. Nitrogen metabolism pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877620
title: Additional file 11 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 11: Fig. S11. Oxidative phospholylation pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877620.v1
title: Additional file 11 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 11: Fig. S11. Oxidative phospholylation pathway in N2 vs N0.
DOI: 10.6084/m9.figshare.22877623
title: Additional file 12 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 12: Fig. S12 GO Enrichment Histogram of top 20 enriched terms associated with DEGs of Org2 vs. N2 in biological processes (BP) (A), molecular functions (MF) (B), and cellular components (CC) (C); Org2 vs. Org0 in BP (D), MF (E), and CC (F).
DOI: 10.6084/m9.figshare.22877623.v1
title: Additional file 12 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 12: Fig. S12 GO Enrichment Histogram of top 20 enriched terms associated with DEGs of Org2 vs. N2 in biological processes (BP) (A), molecular functions (MF) (B), and cellular components (CC) (C); Org2 vs. Org0 in BP (D), MF (E), and CC (F).
DOI: 10.6084/m9.figshare.22877626
title: Additional file 13 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 13: Fig. S13. Nitrogen metabolism pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877626.v1
title: Additional file 13 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 13: Fig. S13. Nitrogen metabolism pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877629
title: Additional file 14 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 14: Fig. S14. KEGG Enrichment Scatter Plot of top 20 enriched terms associated with DEGs. Up- (A) and downregulated (B) pathways in Org2 vs. N2; up- (C) and downregulated (D) pathways in Org2 vs. Org0.
DOI: 10.6084/m9.figshare.22877629.v1
title: Additional file 14 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 14: Fig. S14. KEGG Enrichment Scatter Plot of top 20 enriched terms associated with DEGs. Up- (A) and downregulated (B) pathways in Org2 vs. N2; up- (C) and downregulated (D) pathways in Org2 vs. Org0.
DOI: 10.6084/m9.figshare.22877632
title: Additional file 15 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 15: Fig. S15. Phenylpropanoid biosynthesis pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877632.v1
title: Additional file 15 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 15: Fig. S15. Phenylpropanoid biosynthesis pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877635
title: Additional file 16 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 16: Fig. S16. PPI network of Up- (A) and downregulated (B) DEGs in Org2 vs. N2; PPI network of up- (C) and downregulated (D) DEGs in Org2 vs. Org0.
DOI: 10.6084/m9.figshare.22877635.v1
title: Additional file 16 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 16: Fig. S16. PPI network of Up- (A) and downregulated (B) DEGs in Org2 vs. N2; PPI network of up- (C) and downregulated (D) DEGs in Org2 vs. Org0.
DOI: 10.6084/m9.figshare.22877638
title: Additional file 17 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 17: Fig. S17. MAPK signaling pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877638.v1
title: Additional file 17 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 17: Fig. S17. MAPK signaling pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877641
title: Additional file 18 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 18: Fig. S18. Plant hormone signal transduction pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877641.v1
title: Additional file 18 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 18: Fig. S18. Plant hormone signal transduction pathway in Org2 vs Org0.
DOI: 10.6084/m9.figshare.22877644
title: Additional file 19 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 19: Fig. S19. Plant-pathogen interaction pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877644.v1
title: Additional file 19 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 19: Fig. S19. Plant-pathogen interaction pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877647
title: Additional file 20 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 20: Fig. S20. Plant hormone signal transduction pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877647.v1
title: Additional file 20 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 20: Fig. S20. Plant hormone signal transduction pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877650
title: Additional file 21 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 21: Fig. S21. MAPK signaling pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877650.v1
title: Additional file 21 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 21: Fig. S21. MAPK signaling pathway in Org0 vs N0.
DOI: 10.6084/m9.figshare.22877653
title: Additional file 22 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 22: File S1. Summary of data quality control. Q20 (%): percentage of bases with Phred values greater than 20. Q30(%): percentage of bases with Phred values greater than 30.
DOI: 10.6084/m9.figshare.22877653.v1
title: Additional file 22 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 22: File S1. Summary of data quality control. Q20 (%): percentage of bases with Phred values greater than 20. Q30(%): percentage of bases with Phred values greater than 30.
DOI: 10.6084/m9.figshare.22877656
title: Additional file 23 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 23: File S2. Summary of mapping result of HISAT2.
DOI: 10.6084/m9.figshare.22877656.v1
title: Additional file 23 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 23: File S2. Summary of mapping result of HISAT2.
DOI: 10.6084/m9.figshare.22877659
title: Additional file 24 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 24: File S3. readcount list with the annotation of each gene.
DOI: 10.6084/m9.figshare.22877659.v1
title: Additional file 24 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 24: File S3. readcount list with the annotation of each gene.
DOI: 10.6084/m9.figshare.22877662
title: Additional file 25 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 25: File S4. FPKM list with the annotation of each gene.
DOI: 10.6084/m9.figshare.22877662.v1
title: Additional file 25 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 25: File S4. FPKM list with the annotation of each gene.
DOI: 10.6084/m9.figshare.22877665
title: Additional file 26 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 26: File S5. statistics list of expression level for all genes.The first column is the FPKM interval, the other column is the gene number (proportion) of different samples.
DOI: 10.6084/m9.figshare.22877665.v1
title: Additional file 26 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 26: File S5. statistics list of expression level for all genes.The first column is the FPKM interval, the other column is the gene number (proportion) of different samples.
DOI: 10.6084/m9.figshare.22877668
title: Additional file 27 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 27: File S6. Gene list of all differentially expressed genes.
DOI: 10.6084/m9.figshare.22877668.v1
title: Additional file 27 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 27: File S6. Gene list of all differentially expressed genes.
DOI: 10.6084/m9.figshare.22877671
title: Additional file 28 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 28: File S7. GO enrichment list of two comparison groups.
DOI: 10.6084/m9.figshare.22877671.v1
title: Additional file 28 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 28: File S7. GO enrichment list of two comparison groups.
DOI: 10.6084/m9.figshare.22877674
title: Additional file 29 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 29: File S8. KEGG enrichment result of two comparison groups.
DOI: 10.6084/m9.figshare.22877674.v1
title: Additional file 29 of Transcriptome profiling of barley in response to mineral and organic fertilizers

description: Additional file 29: File S8. KEGG enrichment result of two comparison groups.
DOI: 10.25919/5zea-4s90
title: Parkes observations for project P1050 semester 2023APRS_03

description: This is a request for the observation time for the timing campaign of new pulsars discovered in the reprocessing of the low-latitude Galactic plane section of the HTRU-S survey (HTRU-S LowLat) and the Parkes Multibeam Pulsar Survey (PMPS). We have completed 90 % of the HTRU-S LowLat survey and completed zero acceleration PMPS search with GPU-based coherent acceleration search, template bank, and fast folding algorithm pipelines and now have discovered 112 previously unknown pulsars among which 18 were found in the PMPS. Interesting science can usually only be derived from a new pulsar after confirmation, and a follow-up timing campaign is carried out. At least one year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, and spin-down rate, as well as for detecting any unexpected behaviour of the pulsar which might result from emission instabilities. This project is necessary for the timing of several interesting pulsars, including binary pulsars, high DM pulsars, scattered profile pulsars, and bright ones that show emissions in larger bandwidths in the UWL band. Apart from this, finding the nature of a unique binary pulsar system via a dedicated observing campaign is also another goal. The follow-up timing in semester 2023APRS will assist in completing many exciting large-term science goals.
DOI: 10.6084/m9.figshare.22878050
title: Robots in language learning

description: We studied human-robot interaction in language learning contexts!
DOI: 10.6084/m9.figshare.22878050.v1
title: Robots in language learning

description: We studied human-robot interaction in language learning contexts!
DOI: 10.6084/m9.figshare.22589185
title: Geospatial data needed to map groundwater recharge areas in high latitude landscapes.

description: This project consists of 11 files: 1) a zipped folder with a geodatabase containing seven raster files and two shapefiles, 2) a zipped folder containing the same layers found in the geodatabase, but as standalone files, 3) 9 .xml files containing the metadata for the spatial datasets in the zipped folders. These datasets were generated in ArcPro 3.0.3. (ESRI). Six raster files (drainaged, geology, nlcd, precipitation, slope, solitexture) present spatially distributed information, ranked according to the relative importance of each class for groundwater recharge. The scale used for these datasets is 1-9, where low scale values are assigned to datasets with low relative importance for groundwater recharge, while high scale values are assigned to datasets with high relative importance for groundwater recharge. The seventh raster file contains the groundwater recharge potential map for the Anchor River Watershed. This map was calculated using the six raster datasets mentioned previously. Here, the values assigned represent Very Low to Very High groundwater recharge potential (scale 1 - 5, 1 being Very Low and 5 being Very High). Finally, the two shapefiles represent the groundwater wells and the polygons used for model validation. This data is part of the manuscript titled: Mapping Groundwater Recharge Potential in High Latitude Landscapes using Public Data, Remote Sensing, and Analytic Hierarchy Process, published in the journal remote sensing.
DOI: 10.6084/m9.figshare.22589185.v1
title: Geospatial data needed to map groundwater recharge areas in high latitude landscapes.

description: This project consists of 11 files: 1) a zipped folder with a geodatabase containing seven raster files and two shapefiles, 2) a zipped folder containing the same layers found in the geodatabase, but as standalone files, 3) 9 .xml files containing the metadata for the spatial datasets in the zipped folders. These datasets were generated in ArcPro 3.0.3. (ESRI). Six raster files (drainaged, geology, nlcd, precipitation, slope, solitexture) present spatially distributed information, ranked according to the relative importance of each class for groundwater recharge. The scale used for these datasets is 1-9, where low scale values are assigned to datasets with low relative importance for groundwater recharge, while high scale values are assigned to datasets with high relative importance for groundwater recharge. The seventh raster file contains the groundwater recharge potential map for the Anchor River Watershed. This map was calculated using the six raster datasets mentioned previously. Here, the values assigned represent Very Low to Very High groundwater recharge potential (scale 1 - 5, 1 being Very Low and 5 being Very High). Finally, the two shapefiles represent the groundwater wells and the polygons used for model validation. This data is part of the manuscript titled: Mapping Groundwater Recharge Potential in High Latitude Landscapes using Public Data, Remote Sensing, and Analytic Hierarchy Process, published in the journal remote sensing.
DOI: 10.5281/zenodo.7943326
title: Maximally Error-Tolerant MZI Mesh-based Optical Neural Networks

description: Codes.zip contains code that trains and tests maximally error-tolerant Mach-Zehnder mesh optical neural networks on MNIST, FashionMNIST, and KMNIST. models.zip contains all the trained model parameters.
DOI: 10.5281/zenodo.7943325
title: Maximally Error-Tolerant MZI Mesh-based Optical Neural Networks

description: Codes.zip contains code that trains and tests maximally error-tolerant Mach-Zehnder mesh optical neural networks on MNIST, FashionMNIST, and KMNIST. models.zip contains all the trained model parameters.
DOI: 10.6084/m9.figshare.22878911
title: hokkaido_lib_park.txt

description: 日本・北海道における公共図書館とそこに最も隣接すると想定される公園に関するデータ
DOI: 10.6084/m9.figshare.22878911.v1
title: hokkaido_lib_park.txt

description: 日本・北海道における公共図書館とそこに最も隣接すると想定される公園に関するデータ
DOI: 10.6084/m9.figshare.17294363
title: Climate change risk and adaptation costs for stormwater management in California coastal parklands

description: Extreme precipitation from climate change may strain many existing stormwater systems. While studies have evaluated such effects on stormwater infrastructure, other sources of uncertainty not yet explored should also be considered. This paper presents an analysis of adaptation costs for new stormwater infrastructure to mitigate increases in design storm precipitation depth with climate change, including how economic and managerial uncertainty related to life cycle unit costs and knowledge of existing infrastructure affect costs. For case study areas in California, we quantify adaptation costs for new green infrastructure capacity by evaluating future design storms. Results indicate that design storm depths increase by an average of 28%, but lack of knowledge of the condition of existing infrastructure and life cycle unit costs result in wide cost ranges. The findings illustrate how climate change planning for stormwater should also consider economic and managerial uncertainty when estimating long-term adaptation costs.
DOI: 10.6084/m9.figshare.17294363.v2
title: Climate change risk and adaptation costs for stormwater management in California coastal parklands

description: Extreme precipitation from climate change may strain many existing stormwater systems. While studies have evaluated such effects on stormwater infrastructure, other sources of uncertainty not yet explored should also be considered. This paper presents an analysis of adaptation costs for new stormwater infrastructure to mitigate increases in design storm precipitation depth with climate change, including how economic and managerial uncertainty related to life cycle unit costs and knowledge of existing infrastructure affect costs. For case study areas in California, we quantify adaptation costs for new green infrastructure capacity by evaluating future design storms. Results indicate that design storm depths increase by an average of 28%, but lack of knowledge of the condition of existing infrastructure and life cycle unit costs result in wide cost ranges. The findings illustrate how climate change planning for stormwater should also consider economic and managerial uncertainty when estimating long-term adaptation costs.
DOI: 10.6084/m9.figshare.17294363.v1
title: Climate change risk and adaptation costs for stormwater management in California coastal parklands

description: Extreme precipitation from climate change may strain many existing stormwater systems. While studies have evaluated such effects on stormwater infrastructure, other sources of uncertainty not yet explored should also be considered. This paper presents an analysis of adaptation costs for new stormwater infrastructure to mitigate increases in design storm precipitation depth with climate change, including how economic and managerial uncertainty related to life cycle unit costs and knowledge of existing infrastructure affect costs. For case study areas in California, we quantify adaptation costs for new green infrastructure capacity by evaluating future design storms. Results indicate that design storm depths increase by an average of 28%, but lack of knowledge of the condition of existing infrastructure and life cycle unit costs result in wide cost ranges. The findings illustrate how climate change planning for stormwater should also consider economic and managerial uncertainty when estimating long-term adaptation costs.