cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/bmh3-3918
title: IEEEXtreme 15: Arrays Count

description: This dataset contains a total of 930 submissions, with 0% correct solutions and 6% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/arrays-count/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.11471250
title: MOESM7 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 7: Table S7. GO enrichment analysis for novel transcripts.
DOI: 10.6084/m9.figshare.11471250.v1
title: MOESM7 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 7: Table S7. GO enrichment analysis for novel transcripts.
DOI: 10.5281/zenodo.10724663
title: DES Y1
DOI: 10.5281/zenodo.10724664
title: DES Y1
DOI: 10.6084/m9.figshare.11471253
title: MOESM8 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 8: Table S8. GO enrichment analysis for A. cristatum-specific transcripts.
DOI: 10.6084/m9.figshare.11471253.v1
title: MOESM8 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 8: Table S8. GO enrichment analysis for A. cristatum-specific transcripts.
DOI: 10.6084/m9.figshare.16714131
title: Additional file 1 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 1: Suppl Table 1.
DOI: 10.6084/m9.figshare.16714131.v1
title: Additional file 1 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 1: Suppl Table 1.
DOI: 10.6084/m9.figshare.16714134
title: Additional file 2 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 2: Suppl Table 2.
DOI: 10.6084/m9.figshare.16714134.v1
title: Additional file 2 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 2: Suppl Table 2.
DOI: 10.6084/m9.figshare.11471256
title: MOESM9 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 9: Table S9. Homologous wheat genes of 6P translocation fragment-specific transcripts in Pubing 3035.
DOI: 10.6084/m9.figshare.11471256.v1
title: MOESM9 of Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

description: Additional file 9: Table S9. Homologous wheat genes of 6P translocation fragment-specific transcripts in Pubing 3035.
DOI: 10.13020/dcc7-6r87
title: Data from: Carbon cycling through plant and fungal herbarium specimens tracks the Suess effect over more than a century of environmental change

description: Although the anthropogenic decline in atmospheric carbon stable isotope ratios (d13C) over the last 150 years (termed the Suess effect) is well-studied, how different terrestrial trophic levels and modes reflect this decline remains unresolved. To evaluate the Suess effect as an opportunistic tracer of terrestrial forest carbon cycling, this study analyzed the d13C in herbarium specimens collected in Minnesota, USA from 1877-2019. Our results suggest that both broadleaf trees and ectomycorrhizal fungi relied on recent photosynthate to produce leaves and sporocarps, while saprotrophic fungi used carbon fixed from the atmosphere 32-55 years ago for sporocarp construction. The d13C values of saprotrophic fungal collections were also sensitive to the age of their plant C substrate, with sporocarps of twig specialists tracking changes in atmospheric d13C more closely than saprotrophs growing on wood. Collectively, this study indicated that natural history collections can quantitatively track carbon cycling among plants and fungi over time.
description: Fungal sporocarp and plant leaf d13C values from herbarium specimens collected in Minnesota, USA from 1877 â€“ 2019 are included, alongside relevant metadata, such as the catalog number associated with the collection, the ecological group the collection belongs to, its species, genus, and the month and county it was collected in.
DOI: 10.6084/m9.figshare.16714137
title: Additional file 3 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 3: Suppl Table 3.
DOI: 10.6084/m9.figshare.16714137.v1
title: Additional file 3 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 3: Suppl Table 3.
DOI: 10.6084/m9.figshare.16714140
title: Additional file 4 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 4: Suppl Table 4.
DOI: 10.6084/m9.figshare.16714140.v1
title: Additional file 4 of PFKFB4 is overexpressed in clear-cell renal cell carcinoma promoting pentose phosphate pathway that mediates Sunitinib resistance

description: Additional file 4: Suppl Table 4.
DOI: 10.21227/g204-7778
title: IEEEXtreme 15: Image Similarity

description: This dataset contains a total of 3776 submissions, with 8% correct solutions and 41% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/image-similarity/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.14617012
title: Identification of a new cell-penetrating peptide derived from the african swine fever virus CD2v protein

description: The African swine fever virus (ASFV) is a huge and complex DNA virus that can lead to the acute death of pigs and cause huge losses to the global swine industry. The CD2v protein is a transmembrane protein encoded by the ASFV’s <i>EP402R</i> gene, which can effectively inhibit the bystander lymphocyte proliferation in response to mitogens and mediate the absorption of red blood cells to ASFV-infected cells. The CD2v protein contains repetitive amino acid sequences ([KPCPPP]<sub>3</sub> labeled as RAAS), which is reported as a genetic marker and an epitope. However, the specific biological function of the RAAS is unknown. Here, we have found that the truncated CD2v protein with RAAS can enter Chinese hamster ovary cells, but the truncated CD2v protein without RAAS cannot enter the cells. Also, the RAAS can carry the macromolecular protein EGFP to enter various cells through multiple endocytic processes that are dependent on time, concentration, and location. Besides, the RAAS enter the cells via the macropinocytosis or the clathrin-mediated endocytosis. These results indicate that the RAAS can function as a cell-penetrating peptide that provides a new insight for ASFV research and has potential application value as a tool for drug delivery.
DOI: 10.6084/m9.figshare.14617012.v1
title: Identification of a new cell-penetrating peptide derived from the african swine fever virus CD2v protein

description: The African swine fever virus (ASFV) is a huge and complex DNA virus that can lead to the acute death of pigs and cause huge losses to the global swine industry. The CD2v protein is a transmembrane protein encoded by the ASFV’s <i>EP402R</i> gene, which can effectively inhibit the bystander lymphocyte proliferation in response to mitogens and mediate the absorption of red blood cells to ASFV-infected cells. The CD2v protein contains repetitive amino acid sequences ([KPCPPP]<sub>3</sub> labeled as RAAS), which is reported as a genetic marker and an epitope. However, the specific biological function of the RAAS is unknown. Here, we have found that the truncated CD2v protein with RAAS can enter Chinese hamster ovary cells, but the truncated CD2v protein without RAAS cannot enter the cells. Also, the RAAS can carry the macromolecular protein EGFP to enter various cells through multiple endocytic processes that are dependent on time, concentration, and location. Besides, the RAAS enter the cells via the macropinocytosis or the clathrin-mediated endocytosis. These results indicate that the RAAS can function as a cell-penetrating peptide that provides a new insight for ASFV research and has potential application value as a tool for drug delivery.
DOI: 10.5281/zenodo.10724592
title: Synthetic and Unlabeled Dataset for Urban Seismic Event Detection (USED)

description: Contains Datasets for training and testing models for Urban Seismic Event Detection (USED).



Strong Dataset: Contains Synthetic Data to be used for supervised learning

Unlabel Dataset: Contains unlabeled data to be used for semi supervised (or unsupervised) learning

Test Synth: Synthetic Dataset to evaluate models

Test Real: Small Real Dataset to evaluate models


 

The data is in SAC format, with JSON labels. The obspy library in python can be used to read this data.
DOI: 10.6084/m9.figshare.11471289
title: MOESM1 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 1: miRNA synergistic network. The miRNA synergistic network includes 702 miRNA-miRNA synergistic pairs, and 269 breast cancer related miRNA-miRNA pairs.
DOI: 10.6084/m9.figshare.11471289.v1
title: MOESM1 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 1: miRNA synergistic network. The miRNA synergistic network includes 702 miRNA-miRNA synergistic pairs, and 269 breast cancer related miRNA-miRNA pairs.
DOI: 10.6084/m9.figshare.11471292
title: MOESM2 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 2: miRNA enrichment analysis results of the synergistic miRNAs in the identified miRNA synergistic network. In total, we obtain 444 Gene Ontology terms, 57 Pathways terms and 6 Diseases terms related to the synergistic miRNAs, respectively.
DOI: 10.6084/m9.figshare.11471292.v1
title: MOESM2 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 2: miRNA enrichment analysis results of the synergistic miRNAs in the identified miRNA synergistic network. In total, we obtain 444 Gene Ontology terms, 57 Pathways terms and 6 Diseases terms related to the synergistic miRNAs, respectively.
DOI: 10.6084/m9.figshare.11471298
title: MOESM3 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 3: miRNA synergistic modules. The numbers of miRNA synergistic modules and breast cancer related miRNA synergistic modules are 361 and 72, respectively.
DOI: 10.6084/m9.figshare.11471298.v1
title: MOESM3 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 3: miRNA synergistic modules. The numbers of miRNA synergistic modules and breast cancer related miRNA synergistic modules are 361 and 72, respectively.
DOI: 10.6084/m9.figshare.11471307
title: MOESM4 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 4: Co-expression and non co-expression miRNA-miRNA synergistic pairs. The numbers of co-expression and non co-expression miRNA-miRNA pairs are 499 and 203, respectively.
DOI: 10.6084/m9.figshare.11471307.v1
title: MOESM4 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 4: Co-expression and non co-expression miRNA-miRNA synergistic pairs. The numbers of co-expression and non co-expression miRNA-miRNA pairs are 499 and 203, respectively.
DOI: 10.25919/6zrr-w116
title: Parkes observations for project P630 semester 2009APRS_28

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection. With all the hardware in place, and our first new pulsar discovery made, we request a substantial time allocation this semester.
DOI: 10.6084/m9.figshare.11471313
title: MOESM5 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 5: miRNA synergistic network at the sequence level. The number of miRNA-miRNA synergistic pairs is 1313 at the sequence level, and 611 synergistic miRNA-miRNA pairs of them are not working synergistically at the expression level.
DOI: 10.6084/m9.figshare.11471313.v1
title: MOESM5 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 5: miRNA synergistic network at the sequence level. The number of miRNA-miRNA synergistic pairs is 1313 at the sequence level, and 611 synergistic miRNA-miRNA pairs of them are not working synergistically at the expression level.
DOI: 10.6084/m9.figshare.11471322
title: MOESM6 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 6: The comparison results of the mirSRN method.
DOI: 10.6084/m9.figshare.11471322.v1
title: MOESM6 of Identifying miRNA synergism using multiple-intervention causal inference

description: Additional file 6: The comparison results of the mirSRN method.
DOI: 10.21227/ndgg-tz38
title: IEEEXtreme 15: Polygon

description: This dataset contains a total of 782 submissions, with 1% correct solutions and 3% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/polygon/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.11471334
title: MOESM1 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 1. Genetic and geographical information of the rice genotypes used in the study.
DOI: 10.6084/m9.figshare.11471334.v1
title: MOESM1 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 1. Genetic and geographical information of the rice genotypes used in the study.
DOI: 10.6084/m9.figshare.25308550
title: all raw mass spec files for the paper

description: All the raw mass spec data for the paper
DOI: 10.6084/m9.figshare.25308550.v1
title: all raw mass spec files for the paper

description: All the raw mass spec data for the paper
DOI: 10.21227/jfaa-yt69
title: IEEEXtreme 15: Bridge Construction

description: This dataset contains a total of 1280 submissions, with 7% correct solutions and 19% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/bridge/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.25308547
title: Genedata Expressionist Module and processing parameters for quantification

description: All the module and search parameter used for analysis by Genedata Expressionist software
DOI: 10.6084/m9.figshare.16714250
title: Additional file 1 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 1: Table S1. Information of CWL and CWC natural populations assessed in this study.
DOI: 10.6084/m9.figshare.16714250.v1
title: Additional file 1 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 1: Table S1. Information of CWL and CWC natural populations assessed in this study.
DOI: 10.6084/m9.figshare.16714253
title: Additional file 2 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 2: Table S2. Environmental information of examined agronomic traits.
DOI: 10.6084/m9.figshare.16714253.v1
title: Additional file 2 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 2: Table S2. Environmental information of examined agronomic traits.
DOI: 10.6084/m9.figshare.16714256
title: Additional file 3 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 3: Table S3. Details of KASP primers used and the amplification reaction system and conditions in this study.
DOI: 10.6084/m9.figshare.16714256.v1
title: Additional file 3 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 3: Table S3. Details of KASP primers used and the amplification reaction system and conditions in this study.
DOI: 10.6084/m9.figshare.11471373
title: MOESM4 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 4. Raw data collected from developing (imaging derived) and mature (manual measurements) panicles.
DOI: 10.6084/m9.figshare.11471373.v1
title: MOESM4 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 4. Raw data collected from developing (imaging derived) and mature (manual measurements) panicles.
DOI: 10.6084/m9.figshare.11471376
title: MOESM5 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 5. Pearson correlation analysis for all the traits derived from 3D reconstruction and multi-view 2D-pixel count analysis of developing panicle (yellow color coded), and mature panicle derived traits from 2D scanning and manual measurement (green color coded). Significant correlation values (p value &lt; 0.05) are highlighted in red font.
DOI: 10.6084/m9.figshare.11471376.v1
title: MOESM5 of PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

description: Additional file 5. Pearson correlation analysis for all the traits derived from 3D reconstruction and multi-view 2D-pixel count analysis of developing panicle (yellow color coded), and mature panicle derived traits from 2D scanning and manual measurement (green color coded). Significant correlation values (p value &lt; 0.05) are highlighted in red font.
DOI: 10.6084/m9.figshare.16714265
title: Additional file 6 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 6: Table S4. Quantitative trait loci (QTL) detected in the QTL × environment interaction module (QE).
DOI: 10.6084/m9.figshare.16714265.v1
title: Additional file 6 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 6: Table S4. Quantitative trait loci (QTL) detected in the QTL × environment interaction module (QE).
DOI: 10.34740/kaggle/dsv/7723624
title: crypto-data-daily-updates
DOI: 10.21227/n4kv-7012
title: IEEEXtreme 15: Rigged Dice

description: This dataset contains a total of 10209 submissions, with 12% correct solutions and 12% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/rigged-dice/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.24054301
title: Additional file 1 of MUC16 stimulates neutrophils to an inflammatory and immunosuppressive phenotype in ovarian cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.16714268
title: Additional file 7 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 7: Table S5. Results of the linear regression analysis on TKW.
DOI: 10.6084/m9.figshare.24054301.v1
title: Additional file 1 of MUC16 stimulates neutrophils to an inflammatory and immunosuppressive phenotype in ovarian cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.16714268.v1
title: Additional file 7 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 7: Table S5. Results of the linear regression analysis on TKW.
DOI: 10.6084/m9.figshare.16714271
title: Additional file 8 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 8: Table S6. Comparison of QKL.sicau-AM-3B and QKW.sicau-AM-4B with previous reported quantitative trait loci (QTL) or marker-trait associations (MTAs) for kernel length (KL) and kernel width (KW), respectively.
DOI: 10.6084/m9.figshare.16714271.v1
title: Additional file 8 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 8: Table S6. Comparison of QKL.sicau-AM-3B and QKW.sicau-AM-4B with previous reported quantitative trait loci (QTL) or marker-trait associations (MTAs) for kernel length (KL) and kernel width (KW), respectively.
DOI: 10.6084/m9.figshare.25308529
title: Peak list for all the modified and unmodified peaks. Result summary for esterification percentage in each sample

description: Peak list for all the modified and unmodified peptides with RT and m/z value. Percentage for esterification from each spectrum as well to generate figure 5 in the paper
DOI: 10.6084/m9.figshare.25308529.v1
title: Peak list for all the modified and unmodified peaks. Result summary for esterification percentage in each sample

description: Peak list for all the modified and unmodified peptides with RT and m/z value. Percentage for esterification from each spectrum as well to generate figure 5 in the paper
DOI: 10.6084/m9.figshare.16714274
title: Additional file 9 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 9: Table S7. Predicated genes in the interval of QKL.sicau-AM-3B and QKW.sicau-AM-4B.
DOI: 10.6084/m9.figshare.16714274.v1
title: Additional file 9 of Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat

description: Additional file 9: Table S7. Predicated genes in the interval of QKL.sicau-AM-3B and QKW.sicau-AM-4B.