cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11653272.v1
title: Simulated significant wave height (monthly, 700a, 301.01-1000.12) from FIO-ESM v2.0 piControl experiment r1i1p1f1

description: Simulated significant wave height (monthly, 700a, 301.01-1000.12) from FIO-ESM v2.0 piControl experiment r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.6084/m9.figshare.11653212
title: Hyaluronic acid ameliorates the proliferative ability of human amniotic epithelial cells through activation of TGF-β/BMP signaling

description: Hyaluronic acid ameliorates the proliferative ability of human amniotic epithelial cells through activation of TGF-β/BMP signaling
DOI: 10.6084/m9.figshare.11653212.v1
title: Hyaluronic acid ameliorates the proliferative ability of human amniotic epithelial cells through activation of TGF-β/BMP signaling

description: Hyaluronic acid ameliorates the proliferative ability of human amniotic epithelial cells through activation of TGF-β/BMP signaling
DOI: 10.6084/m9.figshare.11653197
title: Screening archaeological bone 3 (Alpha Platinum)

description: FTIR-ATR raw data files of archaeological bone
DOI: 10.6084/m9.figshare.11653200.v1
title: Simulated Satellite Imagery

description: This data set contains the original training data and the processed result of the simulated satellite images. A third-party python library named "PyTorch CycleGAN" was used to simulate satellite images.
DOI: 10.6084/m9.figshare.11653194
title: Screening archaeological bone 2 (Alpha Platinum)

description: FTIR-ATR raw data files of archaeological bone
DOI: 10.6084/m9.figshare.11653194.v1
title: Screening archaeological bone 2

description: FTIR-ATR raw data files of archaeological bone
DOI: 10.6084/m9.figshare.11653197.v1
title: Screening archaeological bone 3

description: FTIR-ATR raw data files of archaeological bone
DOI: 10.6084/m9.figshare.11653170
title: Screening archaeological bone 1 (Alpha Platinum)

description: FTIR-ATR raw data files of archaeological bone
DOI: 10.6084/m9.figshare.11653182.v1
title: Data for "Continuous and discrete phasor analysis of binned or time-gated periodic decays"

description: Analysis, log files and datasets used in the generation of figures in the manuscript. See Readme.txt for details<br>
DOI: 10.25392/leicester.data.11653161
title: Supporting data for: Dietary signals in dental microwear of predatory small mammals appear unaffected by extremes in environmental abrasive load

description: Supporting data for: Adams <i>et al</i>. (accepted) 'Dietary signals in dental microwear of predatory small mammals appear unaffected by extremes in environmental abrasive load'. Palaeogeography, Palaeoclimatology, Palaeoecology.<br>Data include .xlsx and .sur files from all stages of data collection and processing for dental microwear texture analysis of moles, bats and Jurassic mammaliaforms:- original 3D data sets collected from tooth surfaces using an Alicona IFM G4b microscope- edited and levelled .sur files- edited and levelled .sur files with missing data filled- filtered scale-limited tooth surfaces, the final data sets used for calculating ISO texture parameters.- .xlsx spreadsheet containing raw data used for statistical analysis.
DOI: 10.25392/leicester.data.11653161.v1
title: Supporting data for: Dietary signals in dental microwear of predatory small mammals appear unaffected by extremes in environmental abrasive load

description: Supporting data for: Adams <i>et al</i>. (accepted) 'Dietary signals in dental microwear of predatory small mammals appear unaffected by extremes in environmental abrasive load'. Palaeogeography, Palaeoclimatology, Palaeoecology.<br>Data include .xlsx and .sur files from all stages of data collection and processing for dental microwear texture analysis of moles, bats and Jurassic mammaliaforms:- original 3D data sets collected from tooth surfaces using an Alicona IFM G4b microscope- edited and levelled .sur files- edited and levelled .sur files with missing data filled- filtered scale-limited tooth surfaces, the final data sets used for calculating ISO texture parameters.- .xlsx spreadsheet containing raw data used for statistical analysis.
DOI: 10.6084/m9.figshare.11652342
title: Additional file 5. English versions of Claim Evaluation Tools_tests administrated in Norway_2019

description: English versions of Claim Evaluation Tools_tests administrated in Norway_2019. These tests are not validated for use in English and should be used under the advice of the IHC network. See https://www.informedhealthchoices.org/ for more information.
DOI: 10.6084/m9.figshare.11651772
title: Supplementary materials: Ontogeny of an interactive call-and-response system in Spix’s disc-winged bats. PART 1

description: Part 1 of supplementary materials of the paper "Ontogeny of an interactive call-and-response system in Spix’s disc-winged bats". The data contains raw acoustic data, individual's metadata and outputs of model selection procedures and model parameter estimations. <br>
DOI: 10.6084/m9.figshare.11650734
title: STAN: Towards Describing Bytecodes of Smart Contract

description: (1). 202,995 different function bytes signatures, and their corresponding text signatures.<br>(2). 12,993 different function text signatures, and their corresponding general descriptions generated through TextRank model.<br>(3). 115 different function text signatures and their general descriptions generated through ERCDoc analysis.<br>BibTeX citation:@inproceedings{li2020stan, title={STAN: Towards Describing Bytecodes of Smart Contract}, author={Li, Xiaoqi and Chen, Ting and Luo, Xiapu and Zhang, Tao and Yu, Le and Xu, Zhou}, booktitle={Proceedings of the 20th IEEE International Conference on Software Quality, Reliability and Security }, year={2020}}
DOI: 10.6084/m9.figshare.11650734.v1
title: STAN DATASET

description: (1). 202,995 different function bytes signatures, and their corresponding text signatures.<br>To the best of our knowledge, this is the most comprehensive Ethereum function signature dataset, including EFSD (https://www.4byte.directory/).<br><br>(2). 12,993 different function text signatures, and their corresponding general descriptions generated through TextRank model.<br><br>(3). 115 different function text signatures and their general descriptions generated through ERCDoc analysis.<br><br>
DOI: 10.6084/m9.figshare.11650734.v3
title: STAN

description: (1). 202,995 different function bytes signatures, and their corresponding text signatures.<br>(2). 12,993 different function text signatures, and their corresponding general descriptions generated through TextRank model.<br>(3). 115 different function text signatures and their general descriptions generated through ERCDoc analysis.<br>BibTeX citation:@inproceedings{li2020stan, title={STAN: Towards Describing Bytecodes of Smart Contract}, author={Li, Xiaoqi and Chen, Ting and Luo, Xiapu and Zhang, Tao and Yu, Le and Xu, Zhou}, booktitle={Proceedings of the 20th IEEE International Conference on Software Quality, Reliability and Security }, year={2020}}
DOI: 10.6084/m9.figshare.11649963
title: A new band ratio approach for discriminating calcite and dolomite by ASTER imagery in arid and semi-arid regions

description: The supplementary research data associated with the article titled "A new band ratio approach for discriminating calcite and dolomite by ASTER imagery in arid and semi-arid regions" submitted to the journal of Natural Resources Research.<br>The dataset includes ArcGIS shapefile, ASTER satellite imagery, and mineral spectra downloaded from ASTER spectral library.<br>
DOI: 10.6084/m9.figshare.11649963.v1
title: A new band ratio approach for discriminating calcite and dolomite by ASTER imagery in arid and semi-arid regions

description: The supplementary research data associated with the article titled "A new band ratio approach for discriminating calcite and dolomite by ASTER imagery in arid and semi-arid regions" submitted to the journal of Natural Resources Research.<br>The dataset includes ArcGIS shapefile, ASTER satellite imagery, and mineral spectra downloaded from ASTER spectral library.<br>
DOI: 10.6084/m9.figshare.11648226
title: Teachers Publications 1980 To 2018.xlsx

description: Higher Education Researchers and Academic Publications
DOI: 10.6084/m9.figshare.11647590
title: Supplemental information

description: Figure captions<br><b>Figure S1. Strength of the inter-limb interference following instructions to direct attention to both sides regardless of the AC (Experiment 1).</b> <br><br><b>Figure S2. Percentage of the parallel-asymmetric response when directing attention to the left task space.</b><br>
DOI: 10.6084/m9.figshare.11647590.v1
title: Supplemental Figures: Sakurada and Kansaku, J. Neurophysiol.

description: Figure captions<br><b>Figure S1. Strength of the inter-limb interference following instructions to direct attention to both sides regardless of the AC (Experiment 1).</b> Under the C-VF condition, the inter-limb couplings were relatively stronger than those in the S-VF condition. Additionally, when the participants were required to always direct their attention to both sides regardless of the AC location, the couplings did not vary depending on AC location under the S-VF condition [<i>F</i>(2,30) = 0.062, <i>p</i> = 0.94, <i>η<sub>p</sub><sup>2</sup></i> = 0.0041 for the AC locations; <i>F</i>(1,15) = 1.46, <i>p</i> = 0.25, <i>η<sub>p</sub><sup>2</sup></i> = 0.089 for the interfered side; and <i>F</i>(2,30) = 0.85, <i>p</i> = 0.44, <i>η<sub>p</sub><sup>2</sup></i> = 0.054 for the interaction] or the C-VF condition [<i>F</i>(2,30) = 0.21, <i>p</i> = 0.81, <i>η<sub>p</sub><sup>2</sup></i> = 0.014 for the AC locations; <i>F</i>(1,15) = 0.092, <i>p</i> = 0.77, <i>η<sub>p</sub><sup>2</sup></i> = 0.0061 for the interfered side; and <i>F</i>(2,30) = 0.96, <i>p</i> = 0.39, <i>η<sub>p</sub><sup>2</sup></i> = 0.060 for the interaction]. Error bars indicate the standard deviation across participants.<br><br><b>Figure S2. Percentage of the parallel-asymmetric response when directing attention to the left task space. a:</b> When the participants corrected with their left hand, the responses did not significantly change (Bonferroni multiple comparison tests, between “HC<sub>L</sub>-OBJ<sub>L</sub>” and “HC<sub>L</sub>-OBJ<sub>R</sub>”: <i>p</i> = 0.38; between “HC<sub>R</sub>-OBJ<sub>L</sub>” and “HC<sub>L</sub>-OBJ<sub>R</sub>”: <i>p</i> = 0.059; and between “HC<sub>L</sub>-OBJ<sub>L</sub>” and “HC<sub>R</sub>-OBJ<sub>L</sub>”: <i>p</i> = 0.99) <b>b:</b> When the participants corrected with their right hand, there was a higher percentage of parallel asymmetric responses under the HC<sub>R</sub>-OBJ<sub>L</sub> visual configuration in which the operation object was shown in the left space (Bonferroni multiple comparison tests, between “HC<sub>L</sub>-OBJ<sub>L</sub>” and “HC<sub>L</sub>-OBJ<sub>R</sub>”: <i>p</i> = 0.82; between “HC<sub>R</sub>-OBJ<sub>L</sub>” and “HC<sub>L</sub>-OBJ<sub>R</sub>”: <i>p</i> = 0.0021; and between “HC<sub>L</sub>-OBJ<sub>L</sub>” and “HC<sub>R</sub>-OBJ<sub>L</sub>”: <i>p</i> = 0.030). Error bars indicate the standard deviation across participants. †<i>p</i> &lt; 0.1, *<i>p</i> &lt; 0.05, and **<i>p</i> &lt; 0.01.<br>
DOI: 10.6084/m9.figshare.11643801
title: csi300

description: 000300
DOI: 10.6084/m9.figshare.11643795
title: ^N225.csv

description: Nikkei 225
DOI: 10.6084/m9.figshare.11643795.v1
title: ^N225.csv

description: Nikkei 225
DOI: 10.6084/m9.figshare.11643792
title: ^GSPC.csv

description: financial market in the world<br>
DOI: 10.6084/m9.figshare.11643792.v1
title: ^GSPC.csv

description: financial market in the world<br>
DOI: 10.6084/m9.figshare.11643783
title: MOESM4 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 4. List of significant GO terms.
DOI: 10.6084/m9.figshare.11643783.v1
title: MOESM4 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 4. List of significant GO terms.
DOI: 10.6084/m9.figshare.11643777
title: MOESM2 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 2. List of significant genes.
DOI: 10.6084/m9.figshare.11643774
title: MOESM1 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 1. Sequencing and mapping statistics.
DOI: 10.6084/m9.figshare.11643777.v1
title: MOESM2 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 2. List of significant genes.
DOI: 10.6084/m9.figshare.11643774.v1
title: MOESM1 of Gestational and lactational exposure to gossypol alters the testis transcriptome

description: Additional file 1. Sequencing and mapping statistics.
DOI: 10.6084/m9.figshare.11643768
title: MOESM9 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 9. Significant GO biological processes of overlapping DEGs among three diseases.
DOI: 10.6084/m9.figshare.11643768.v1
title: MOESM9 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 9. Significant GO biological processes of overlapping DEGs among three diseases.
DOI: 10.6084/m9.figshare.11643759
title: MOESM8 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 8. Significant biological pathways and GO Biological Processes in consensus modules.
DOI: 10.6084/m9.figshare.11643759.v1
title: MOESM8 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 8. Significant biological pathways and GO Biological Processes in consensus modules.
DOI: 10.6084/m9.figshare.11643756
title: MOESM7 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 7. Significant biological pathways and GO Biological Processes in disease-specific modules.
DOI: 10.6084/m9.figshare.11643750
title: MOESM6 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 6. The list of all gene symbols in candidate consensus modules.
DOI: 10.6084/m9.figshare.11643756.v1
title: MOESM7 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 7. Significant biological pathways and GO Biological Processes in disease-specific modules.
DOI: 10.6084/m9.figshare.11643750.v1
title: MOESM6 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 6. The list of all gene symbols in candidate consensus modules.
DOI: 10.6084/m9.figshare.11643738
title: MOESM4 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 4. The list of selected modules for three diseases.
DOI: 10.6084/m9.figshare.11643738.v1
title: MOESM4 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 4. The list of selected modules for three diseases.
DOI: 10.6084/m9.figshare.11643732
title: MOESM3 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 3. The list of all gene symbols in candidate disease-specific modules.
DOI: 10.6084/m9.figshare.11643732.v1
title: MOESM3 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 3. The list of all gene symbols in candidate disease-specific modules.
DOI: 10.6084/m9.figshare.11643723
title: MOESM1 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 1. The list of DIPs and shared DEGs among three diseases.
DOI: 10.6084/m9.figshare.11643723.v1
title: MOESM1 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 1. The list of DIPs and shared DEGs among three diseases.
DOI: 10.6084/m9.figshare.11643717
title: MOESM12 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 12. The list of candidates shared drug-target interactions among three diseases.
DOI: 10.6084/m9.figshare.11643717.v1
title: MOESM12 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 12. The list of candidates shared drug-target interactions among three diseases.
DOI: 10.6084/m9.figshare.11643711
title: MOESM1 of A panel of recombinant proteins from human-infective Plasmodium species for serological surveillance

description: Additional file 1: Datasets used for the analysis. The ELISA absorbance values used for the data analysis are provided as separate spreadsheets. Patient groups where applicable are numbered: 1—European traveller; 2 and 3—Imported malaria; 4—Native Tanzanian; 5—Control group; 6—Native Malaysian.
DOI: 10.6084/m9.figshare.11643708
title: MOESM11 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 11. The list of candidate consensus drug-target interactions.
DOI: 10.6084/m9.figshare.11643711.v1
title: MOESM1 of A panel of recombinant proteins from human-infective Plasmodium species for serological surveillance

description: Additional file 1: Datasets used for the analysis. The ELISA absorbance values used for the data analysis are provided as separate spreadsheets. Patient groups where applicable are numbered: 1—European traveller; 2 and 3—Imported malaria; 4—Native Tanzanian; 5—Control group; 6—Native Malaysian.
DOI: 10.6084/m9.figshare.11643708.v1
title: MOESM11 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 11. The list of candidate consensus drug-target interactions.
DOI: 10.6084/m9.figshare.11643702
title: MOESM10 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 10:. The list of candidate disease-specific drug-target interactions.
DOI: 10.6084/m9.figshare.11643702.v1
title: MOESM10 of Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis

description: Additional file 10:. The list of candidate disease-specific drug-target interactions.
DOI: 10.6084/m9.figshare.11643609
title: MOESM6 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 6. The peak areas of the chromatoghraphic fingerprints and their similarity evaluation. The similarity values of the chromatographic fingerprints of 13 batches of Dihuang and Shu Dihuang samples calculated by the angle cosine formula.
DOI: 10.6084/m9.figshare.11643609.v1
title: MOESM6 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 6. The peak areas of the chromatoghraphic fingerprints and their similarity evaluation. The similarity values of the chromatographic fingerprints of 13 batches of Dihuang and Shu Dihuang samples calculated by the angle cosine formula.
DOI: 10.6084/m9.figshare.11643603
title: MOESM5 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 5. The potencies of the negative peaks in the active fingerprints and their similarity evaluation. The similarity values of the active fingerprints of 13 batches of Dihuang and Shu Dihuang samples calculated by the angle cosine formula.
DOI: 10.6084/m9.figshare.11643603.v1
title: MOESM5 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 5. The potencies of the negative peaks in the active fingerprints and their similarity evaluation. The similarity values of the active fingerprints of 13 batches of Dihuang and Shu Dihuang samples calculated by the angle cosine formula.
DOI: 10.6084/m9.figshare.11643594
title: MOESM4 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 4. The raw data of Figs. 4 and 5. The potencies of 18 negative peaks in 13 batches of Dihuang and Shu Dihuang samples.
DOI: 10.6084/m9.figshare.11643591
title: MOESM3 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 3. The peak areas and potencies of the negative peaks in the thirteen batches of Dihuang and Shu Dihuang samples. Potency of each negative peak calculated by the functional equation of verbascoside.
DOI: 10.6084/m9.figshare.11643591.v1
title: MOESM3 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 3. The peak areas and potencies of the negative peaks in the thirteen batches of Dihuang and Shu Dihuang samples. Potency of each negative peak calculated by the functional equation of verbascoside.
DOI: 10.6084/m9.figshare.11643594.v1
title: MOESM4 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 4. The raw data of Figs. 4 and 5. The potencies of 18 negative peaks in 13 batches of Dihuang and Shu Dihuang samples.
DOI: 10.6084/m9.figshare.11643585
title: MOESM2 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 2. The raw data for the functional equation of verbascoside as a positive control, negative peak area (x), concentration (y).
DOI: 10.6084/m9.figshare.11643585.v1
title: MOESM2 of “Quantity-effect” research strategy for comparison of antioxidant activity and quality of Rehmanniae Radix and Rehmannia Radix Praeparata by on-line HPLC-UV-ABTS assay

description: Additional file 2. The raw data for the functional equation of verbascoside as a positive control, negative peak area (x), concentration (y).
DOI: 10.6084/m9.figshare.11643495
title: MOESM2 of Infection control and risk factors for acquisition of carbapenemase-producing enterobacteriaceae. A 5 year (2011–2016) case-control study

description: Additional file 2. Epidemic curve of the 16 CPE patients who were admitted in the same VGH wards at the same period of time.