cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7840112
title: Zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate: Crystallographic raws

description: Crystallographic raw files of non-centrosymmetric P21 and centrosymmeric P21/n phases of the metal-organics. Consider: J. Mol. Struct. 1248 (2022) 131488 [https://www.sciencedirect.com/science/article/abs/pii/S0022286021016161] and data on Cambridge Crystallographic Data Center CCDC 1576255, 2256806, and 2256980, respectively. Results from ADDSYM test, considering symmetry elements are presented, as well.
DOI: 10.5281/zenodo.8241703
title: Supplementary Data for an under-reviewing article.

description: Supplementary Data for the under-reviewing article "Phylogenetic evidence reveals early Kra-Dai divergence and dispersal in the late Holocene". Supplementary Data 1: The lexical cognate database of Kra-Dai languages. Sheet 1 “Lexical items” shows the language entries and lexical items of 100 Kra-Dai languages. Sheet 2 “Binary coded sets” shows the binary coded form based on Sheet 1. Sheet 3 “Note” shows the reason for deleting specific lexical items and descriptions for the data. Supplementary Data 2: Node constraints with known historical information used to calibrate the divergence time calculations in BEAST. Supplementary Data 3: Model comparison among different combinations of models in BEAST. Sheet 1 “HME” shows the results compared by Harmonic Mean Estimator. Sheet 2 “Path Sampling” shows the results compared by the path sampling method. Supplementary Data 4: Possibilities of ancestral area. Supplementary Data 5: Comparison of time depth and root probability among versions of different settings. Supplementary Data 6: Delta score and Q-residual. Supplementary Data 7: Information on archaeological sites in South China and MSEA. Supplementary Data 8: Resources of linguistic data. Supplementary Data 9: BEAST xml files, nexus files, and MCC tree file. Supplementary Data 10: Statistical significance among models of dispersal routes in the posterior samples of 3 independent runs of the RJMCMC. Supplementary Data 11: The control file, input file, and geographical distribution file used in the <em>BayesTraits</em> program. Supplementary Data 12: Kra-Dai population samples used for BSP analysis. Supplementary Data 13: The interdisciplinary data and code used to plot Figure 3.
DOI: 10.6084/m9.figshare.23916612.v3
title: <b>Roux-en-Y gastric bypass improves insulin sensitivity in obese rats with type 2 diabetes mellitus by regulating the Grin3a /AMPK signal axis in </b><b>hypothalamic arcuate nucleus</b>

description: RYGB reduced FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats while increased Grin3a expression and p-AMPK/AMPK ratio in ARC. Knockdown of Grin3a not only reversed the decreasing effects of RYGB on FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats and but also reversed the up-regulation of RYGB on p-AMPK/AMPK ratio in ARC. Moreover, knocking down Grin3a could significantly increase the level of TG, promote the formation of lipid droplets and up-regulate the expressions of PPARγ, C/ebpα, FASN and FABP4 in differentiated 3T3-L1 cells.RYGB improves the insulin sensitivity, reduces the plasma TG level and lessens the fat accumulation in obese rats with T2DM by regulating the Grin3a /AMPK signal axis in hypothalamic ARC.
DOI: 10.6084/m9.figshare.23916612.v2
title: <b>Roux-en-Y gastric bypass improves insulin sensitivity in obese rats with type 2 diabetes mellitus by regulating the Grin3a /AMPK signal axis in </b><b>hypothalamic arcuate nucleus</b>

description: RYGB reduced FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats while increased Grin3a expression and p-AMPK/AMPK ratio in ARC. Knockdown of Grin3a not only reversed the decreasing effects of RYGB on FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats and but also reversed the up-regulation of RYGB on p-AMPK/AMPK ratio in ARC. Moreover, knocking down Grin3a could significantly increase the level of TG, promote the formation of lipid droplets and up-regulate the expressions of PPARγ, C/ebpα, FASN and FABP4 in differentiated 3T3-L1 cells.RYGB improves the insulin sensitivity, reduces the plasma TG level and lessens the fat accumulation in obese rats with T2DM by regulating the Grin3a /AMPK signal axis in hypothalamic ARC.
DOI: 10.17632/9yc82m6yw5.1
title: Dataset of graphene nano-liquified Petroleum Gas (LPG) performance in a domestic refrigerator system

description: Dataset from a graphene-enhanced LPG experiment in a domestic refrigerator
DOI: 10.17632/wnfs2xmgp7.1
title: A study of NSUN2 Is a Glucose Sensor Suppressing cGAS-STING to Maintain Tumorigenesis and Immunotherapy Resistance. Tingin Chen et al.

description: Uncropped scans of all blots and all values used to generate graphs are included for the study of NSUN2 Is a Glucose Sensor Suppressing cGAS-STING to Maintain Tumorigenesis and Immunotherapy Resistance. Tingin Chen et al.. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request. Glucose primarily acts through its metabolism to orchestrate oncogenesis. Whether glucose serves as a signaling molecule directly regulating oncoprotein activity for tumorigenesis remains elusive. Here, we report that glucose is a cofactor binding to methyltransferase NSUN2 at amino acid 1-28 to promote NSUN2 oligomerization and activation. NSUN2 activation maintains global m5C RNA methylation including TREX2 and stabilizes TREX2 exonuclease to restrict cytosolic dsDNA accumulation and cGAS/STING activation for promoting tumorigenesis and anti-PD-L1 immunotherapy resistance. A NSUN2 mutant defective in glucose binding or disrupting glucose/NSUN2 interaction abolishes NSUN2 activity and TREX2 induction leading to cGAS/STING activation for oncogenic suppression. Strikingly, genetic deletion of glucose/NSUN2/TREX2 axis suppresses tumorigenesis and overcomes anti-PD-L1 immunotherapy resistance in those cold tumors through cGAS/STING activation to facilitate apoptosis and CD8+ T cell infiltration. Our study identifies NSUN2 as a direct glucose sensor whose activation by glucose drives tumorigenesis and immunotherapy resistance by maintaining TREX2 expression for cGAS/STING inactivation.
DOI: 10.5281/zenodo.7085073
title: PNBA - Mauritania sedimentary carbon and eDNA raw data

description: This dataset relates to the publication &lt;PLACEHOLDER&gt;. It contains sediment properties relating to carbon content and granulometry, eDNA metabarcoding and radionuclides required for the analysis. <strong>Dataset and variable description --------------------------------------------------------------------------------</strong> <strong> core-extraction.csv</strong><br> Contains properties related to the sediment cores. core_id - Unique identifier used for sediment cores habitat - Habitat where core was sampled. One of "Sand" (bare sediment, no vegetation), "Cymodocea" (vegetated by Cymodocea nodosa) or "Zostera" (vegetated by Zostera noltei) date - Sampling date (YYYY/MM/DD) lat - Latitude of sampling site (decimal degrees, WGS84) lon - Longitude of sampling site (decimal degrees, WGS84) sampling_depth - Depth reached by core sampler (cm) core_length - Length of sediment core, as measured in the lab after halving (cm) compaction - Compaction factor of sediment core <strong>loi-and-granulometry.csv</strong><br> Contains results from loss on ignition and dry sieving, used to study organic matter contents and granulometry. sample_id - Unique sample identifier. Created by concatenating core_id and the sample's middle depth core_id - Identifies which core the sample was retrieved from depth - Middle depth of the sample. All samples have a height of 2 cm. (cm) depth_corr - Middle depth of the sample, corrected for compaction volume - Sample volume (mL or cm3) volume_corr - Sample volume, corrected for compaction (mL or cm3) wet_sample - Wet sample weight (g) dry_sample - Dry sample weight (g) ground_sample - Weight of sample fraction used for loss on ignition (g) burned_sample - Weight of sample fraction used for loss on ignition, after submitting it to burning (g) water_content - Estimated water content of sample (fraction) om_content - Estimated organic matter content of sample (fraction) columns 90000-63000 μm to &lt;1 μm - Weight of sediment particles with size within range described in column name (g) mean_phi - Mean phi of sample (Krumbein phi, φ) percent_gravel - Sediment fraction (in weight) classified as gravel (fraction) percent_sand - Sediment fraction (in weight) classified as sand (fraction) percent_mud - Sediment fraction (in weight) classified as mud(fraction) <strong>radionuclides.csv</strong><br> Contains the results from gamma-ray spectroscopy core_id - Identifies which core the sample was retrieved from sample_id - Unique sample identifier. Created by concatenating core_id and the sample's middle depth depth - Middle depth of the sample. All samples have a height of 2 cm. (cm) depth_corr - Middle depth of the sample, corrected for compaction remaining columns - Element specific activity for element named in column (Bq/g). Columns with the suffix "_error" represent the measurement error (sigma = 2)
DOI: 10.5281/zenodo.7085072
title: PNBA - Mauritania sedimentary carbon and eDNA raw data

description: This dataset relates to the publication &lt;PLACEHOLDER&gt;. It contains sediment properties relating to carbon content and granulometry, eDNA metabarcoding and radionuclides required for the analysis. <strong>Dataset and variable description --------------------------------------------------------------------------------</strong> <strong> core-extraction.csv</strong><br> Contains properties related to the sediment cores. core_id - Unique identifier used for sediment cores habitat - Habitat where core was sampled. One of "Sand" (bare sediment, no vegetation), "Cymodocea" (vegetated by Cymodocea nodosa) or "Zostera" (vegetated by Zostera noltei) date - Sampling date (YYYY/MM/DD) lat - Latitude of sampling site (decimal degrees, WGS84) lon - Longitude of sampling site (decimal degrees, WGS84) sampling_depth - Depth reached by core sampler (cm) core_length - Length of sediment core, as measured in the lab after halving (cm) compaction - Compaction factor of sediment core <strong>loi-and-granulometry.csv</strong><br> Contains results from loss on ignition and dry sieving, used to study organic matter contents and granulometry. sample_id - Unique sample identifier. Created by concatenating core_id and the sample's middle depth core_id - Identifies which core the sample was retrieved from depth - Middle depth of the sample. All samples have a height of 2 cm. (cm) depth_corr - Middle depth of the sample, corrected for compaction volume - Sample volume (mL or cm3) volume_corr - Sample volume, corrected for compaction (mL or cm3) wet_sample - Wet sample weight (g) dry_sample - Dry sample weight (g) ground_sample - Weight of sample fraction used for loss on ignition (g) burned_sample - Weight of sample fraction used for loss on ignition, after submitting it to burning (g) water_content - Estimated water content of sample (fraction) om_content - Estimated organic matter content of sample (fraction) columns 90000-63000 μm to &lt;1 μm - Weight of sediment particles with size within range described in column name (g) mean_phi - Mean phi of sample (Krumbein phi, φ) percent_gravel - Sediment fraction (in weight) classified as gravel (fraction) percent_sand - Sediment fraction (in weight) classified as sand (fraction) percent_mud - Sediment fraction (in weight) classified as mud(fraction) <strong>radionuclides.csv</strong><br> Contains the results from gamma-ray spectroscopy core_id - Identifies which core the sample was retrieved from sample_id - Unique sample identifier. Created by concatenating core_id and the sample's middle depth depth - Middle depth of the sample. All samples have a height of 2 cm. (cm) depth_corr - Middle depth of the sample, corrected for compaction remaining columns - Element specific activity for element named in column (Bq/g). Columns with the suffix "_error" represent the measurement error (sigma = 2)
DOI: 10.5281/zenodo.7625487
title: IsoldeGlissenaar/seaiceproxy: Proxy SIT Canadian Arctic

description: Proxy sea ice thickness product for the Canadian Arctic (1996-2020) from Canadian Ice Service charts and scatterometer backscatter, using a Random Forest Regression. This version is pre peer review.
DOI: 10.57841/casdc.0001818
title: 心血管植介入体表面抗凝涂层近十年进展
DOI: 10.25919/hrdk-m322
title: Parkes observations for project P960 semester 2023APRS_04

description: We aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes.
DOI: 10.25919/kkc3-3w48
title: Parkes pulsar observations with undefined project IDs for 2023APRS_09

description: Parkes pulsar observations with undefined project IDs for 2023APRS. This collection contains observations from project ID PX114.
DOI: 10.5281/zenodo.8245849
title: FLIM data- Studying the PBM effect on HUVEC cells-20220713_HUVEC P 11_Fine piezo_FLD PBM_40MHz

description: In this experiment, the PBM effects with defined conditions written as the metadata were studied on HUVEC cells under controlled environmental conditions. FLIMs were acquired on control cells, during the PBM illumination and as a time series after the end of PBM.
DOI: 10.5281/zenodo.8245848
title: FLIM data- Studying the PBM effect on HUVEC cells-20220713_HUVEC P 11_Fine piezo_FLD PBM_40MHz

description: In this experiment, the PBM effects with defined conditions written as the metadata were studied on HUVEC cells under controlled environmental conditions. FLIMs were acquired on control cells, during the PBM illumination and as a time series after the end of PBM.
DOI: 10.5281/zenodo.8245814
title: FLIM data- Studying the PBM effect on HUVEC cells-20220709_HUCVEC P 11_fine piezo_40MHz

description: In this experiment, the PBM effects with defined conditions written as the metadata were studied on HUVEC cells under controlled environmental conditions. FLIMs were acquired on control cells, during the PBM illumination and as a time series after the end of PBM.
DOI: 10.5281/zenodo.8245813
title: FLIM data- Studying the PBM effect on HUVEC cells-20220709_HUCVEC P 11_fine piezo_40MHz

description: In this experiment, the PBM effects with defined conditions written as the metadata were studied on HUVEC cells under controlled environmental conditions. FLIMs were acquired on control cells, during the PBM illumination and as a time series after the end of PBM.
DOI: 10.6084/m9.figshare.22779755
title: Raw and processed data for studying chaperon-client interactions in 12 cancer types.

description: This data accompanies the paper "Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness", by Geut Galai, Xie He, Barak Rotblat, Shai Pilosof. Published in Nature Communications.<b> </b><b>Please cite the paper when using the data.</b>All users <b>must</b> read the paper to understand how the data were obtained and processed, and their limitations. Data comes without warranty. Licence is <b>CC BY-NC-SA (Attribution-NonCommercial-ShareAlike): </b>This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit the authors and license the new creations under the identical terms.All the computational processes related to data derivation and analysis are in the GutHub repository that accompanies the paper.Raw data (raw.zip)Gene level transcriptome profiling (RNA-Seq) data (in the form of HTSeq - FPKM) that was download from The Cancer Genome Atlas (TCGA) using the Genomic Data Commons Data Portal https://portal.gdc.cancer.gov).Human protein expression data that was downloaded from the string-db.org data base, and from published papers as follows.File: 12192_2020_1080_MOESM4_ESM.xlsx. Source: Bie AS, Cömert C, Körner R, Corydon TJ, Palmfeldt J, Hipp MS, et al. An inventory of interactors of the human HSP60/HSP10 chaperonin in the mitochondrial matrix space. Cell Stress Chaperones. 2020;25: 407–416. doi:10.1007/s12192-020-01080-6File: 41467_2013_BFncomms3139_MOESM481_ESM.xls. Source: Chae YC, Angelin A, Lisanti S, Kossenkov AV, Speicher KD, Wang H, et al. Landscape of the mitochondrial Hsp90 metabolome in tumours. Nat Commun. 2013;4: 2139. doi:10.1038/ncomms3139File: 12915_2020_740_MOESM8_ESM.xlsx Source: Joshi A, Dai L, Liu Y, Lee J, Ghahhari NM, Segala G, et al. The mitochondrial HSP90 paralog TRAP1 forms an OXPHOS-regulated tetramer and is involved in mitochondrial metabolic homeostasis. BMC Biol. 2020;18: 10. doi:10.1186/s12915-020-0740-7File: mmc2.xlsx Source: Ishizawa J, Zarabi SF, Davis RE, Halgas O, Nii T, Jitkova Y, et al. Mitochondrial ClpP-Mediated Proteolysis Induces Selective Cancer Cell Lethality. Cancer Cell. 2019;35: 721–737.e9. doi:10.1016/j.ccell.2019.03.014Processed data (processed.zip)The network data. Rows are chaperones, columns are clients.Source dataFile: Source Data for Figures and Tables.zipThis is the source data underlying the figures and tables, as requested by Nature Communications.
DOI: 10.6084/m9.figshare.22779755.v2
title: Raw and processed data for studying chaperon-client interactions in 12 cancer types.

description: This data accompanies the paper "Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness", by Geut Galai, Xie He, Barak Rotblat, Shai Pilosof. Published in Nature Communications.<b> </b><b>Please cite the paper when using the data.</b>All users <b>must</b> read the paper to understand how the data were obtained and processed, and their limitations. Data comes without warranty. Licence is <b>CC BY-NC-SA (Attribution-NonCommercial-ShareAlike): </b>This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit the authors and license the new creations under the identical terms.All the computational processes related to data derivation and analysis are in the GutHub repository that accompanies the paper.Raw data (raw.zip)Gene level transcriptome profiling (RNA-Seq) data (in the form of HTSeq - FPKM) that was download from The Cancer Genome Atlas (TCGA) using the Genomic Data Commons Data Portal https://portal.gdc.cancer.gov).Human protein expression data that was downloaded from the string-db.org data base, and from published papers as follows.File: 12192_2020_1080_MOESM4_ESM.xlsx. Source: Bie AS, Cömert C, Körner R, Corydon TJ, Palmfeldt J, Hipp MS, et al. An inventory of interactors of the human HSP60/HSP10 chaperonin in the mitochondrial matrix space. Cell Stress Chaperones. 2020;25: 407–416. doi:10.1007/s12192-020-01080-6File: 41467_2013_BFncomms3139_MOESM481_ESM.xls. Source: Chae YC, Angelin A, Lisanti S, Kossenkov AV, Speicher KD, Wang H, et al. Landscape of the mitochondrial Hsp90 metabolome in tumours. Nat Commun. 2013;4: 2139. doi:10.1038/ncomms3139File: 12915_2020_740_MOESM8_ESM.xlsx Source: Joshi A, Dai L, Liu Y, Lee J, Ghahhari NM, Segala G, et al. The mitochondrial HSP90 paralog TRAP1 forms an OXPHOS-regulated tetramer and is involved in mitochondrial metabolic homeostasis. BMC Biol. 2020;18: 10. doi:10.1186/s12915-020-0740-7File: mmc2.xlsx Source: Ishizawa J, Zarabi SF, Davis RE, Halgas O, Nii T, Jitkova Y, et al. Mitochondrial ClpP-Mediated Proteolysis Induces Selective Cancer Cell Lethality. Cancer Cell. 2019;35: 721–737.e9. doi:10.1016/j.ccell.2019.03.014Processed data (processed.zip)The network data. Rows are chaperones, columns are clients.Source dataFile: Source Data for Figures and Tables.zipThis is the source data underlying the figures and tables, as requested by Nature Communications.
DOI: 10.6084/m9.figshare.22779755.v1
title: Chaperon-client interactions in 12 cancer types.

description: This data accompanies the paper "Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness", by Geut Galai, Xie He, Barak Rotblat, Shai Pilosof. Published in Nature Communications.<b>Please cite the paper when using the data.</b>All users <b>must</b> read the paper to understand how the data were obtained and processed, and their limitations. Data comes without warranty. Licence is <b>CC BY-NC-SA (Attribution-NonCommercial-ShareAlike): </b>This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit the authors and license the new creations under the identical terms.Rows are chaperones, columns are clients.All the computational processes related to data derivation and analysis are in the GutHub repository that accompanies the paper.
DOI: 10.17632/tzr2yc5mxw.1
title: Research data - Ventilation's role in adaptable school buildings: comparing traditional and adaptable strategies through life cycle assessment

description: This dataset contains underlying information and calculations associated with the publication titled: Ventilation's role in adaptable school buildings: comparing traditional and adaptable strategies through life cycle assessment.
DOI: 10.17632/2zkxx4c9bw.1
title: WLTCN

description: Pseudo data and regressions code for "When Large Traders Create Noise", in the folder "/R/".

Mathematica code for "When Large Traders Create Noise", in the folder "/Mathematica/".
DOI: 10.17632/2zkxx4c9bw.2
title: WLTCN

description: Pseudo data and regressions code for "When Large Traders Create Noise", in the folder "/R/".

Mathematica code for "When Large Traders Create Noise", in the folder "/Mathematica/".
DOI: 10.17632/2zkxx4c9bw.3
title: WLTCN

description: Pseudo data and regressions code for "When Large Traders Create Noise", in the folder "/R/".

Mathematica code for "When Large Traders Create Noise", in the folder "/Mathematica/".
DOI: 10.5517/ccdc.csd.cc2czpgj
title: CCDC 2204238: Experimental Crystal Structure Determination

description: Related Article: Shihui Liu, Debin Xia, Jinghao Wang, Congwu Ge, Sue Hao, Jian Zhang, Ping Wang, Kaifeng Lin, Shaoqiang Dong, Evgeny Tretyakov, Yulin Yang, Xike Gao|2023|J.Mater.Chem.C|11|6089|doi:10.1039/D3TC00408B
description: Related Article: Shihui Liu, Debin Xia, Jinghao Wang, Congwu Ge, Sue Hao, Jian Zhang, Ping Wang, Kaifeng Lin, Shaoqiang Dong, Evgeny Tretyakov, Yulin Yang, Xike Gao|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnydf
title: CCDC 2224665: Experimental Crystal Structure Determination

description: Related Article: han lingbo|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f6l3c
title: CCDC 2240652: Experimental Crystal Structure Determination

description: Related Article: Rodolfo Lavilla|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.