cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20375/0000-000f-8266-b
title: Antyczne antycypacje średniowiecznej recepcji teocentrycznej legitymizacji władzy

description: Przekonanie o tym, że władza pochodzi od Boga, mające swoje źródło w Liście św. Pawła do Rzymian, legło u podstaw legitymizmu władzy w wielu kręgach kultury judeochrześcijańskiej. W tekście uwzględniono jego antycypacje z ery przedchrześcijańskiej, a także sposób interpretacji w epoce średniowiecza. Ukazano stopniowe przejście do antropocentrycznego legitymizmu władzy, który w chrześcijaństwie nigdy nie stracił całkowicie teocentrycznych odniesień jeśli chodzi o instytucję władzy świeckiej. Słowa kluczowe: władza, legitymizm, chrześcijaństwo, starożytność, średniowiecze
DOI: 10.17632/cdj36h5nfj.1
title: Transcriptional profile of LPCs and HSCs following co-culture or conditioned-medium experiments

description: The aim of this project was to co-culture HSCs (LX-2 cells) with wildtype or c-MET deleted LPCs (BMOL-TAT cells). Additionally, BMOL-TAT cells were indirectly co-cultured by the addition of LX-2-conditioned medium. Bulk RNA-sequencing was then performed to assess transcriptional changes during cellular crosstalk. 

The results identified that LX-2 cells were not greatly affected at the transcriptional level following 48-hour co-culture with BMOL-TAT cells. However, wildtype and c-MET deleted BMOL-TAT cells were greatly affected at the transcriptomic level by signalling molecules present in LX-2-conditioned medium. This further reinforces the communicative relationship of LPCs and HSCs in diseased liver states. 

Upon addition of LX-2 conditioned medium on wildtype BMOL-TAT cells, BMOL-TAT cells upregulated expression of ECM remodelling genes, while downregulating expression of ECM deposition genes and cell adhesion genes.  This was contrary to c-MET deleted BMOL-TAT cells in LX-2-conditioned medium experiments, as BMOL-TAT cells without the presence of the c-MET receptor decreased expression of ECM remodelling genes, while increasing expression of ECM deposition genes and cell adhesion genes. 

The data suggests that upon HSC stimulus, LPCs degrade ECM, to migrate to sites of injury and potentially aid in regeneration of the liver. However, without c-MET regulation, this process is hindered.
DOI: 10.48544/7fe221d2-adb9-406e-85e0-1eb2031cd3b8
title: Samen in beweging met kwetsbare inwoners
DOI: 10.5281/zenodo.7039699
title: Validation of MODIS11A2 LST and glacier surface heatwave during 2001-2020 over Tibetan glacier

description: 1,Validation of MODIS11A2 LST in 2019 using AWS temperature on the glacier 2,Validation of MODIS11A2 LST during 2001-2020 using CMA station temperature over the Tibetan Plateau 3,Glacier surface heatwave during 2001-2020 over the Tibetan Plateau glacier
description: {"references": ["Chen, W., Yao, T., Zhang, G., Woolway, R.I., Yang, W., Xu, F., Zhou, T., 2023. Glacier Surface Heatwaves Over the Tibetan Plateau. Geophysical Research Letters 50, e2022GL101115. https://doi.org/10.1029/2022GL101115"]}
DOI: 10.5281/zenodo.7743828
title: Validation of MODIS11A2 LST and glacier surface heatwave during 2001-2020 over Tibetan Plateau

description: 1,Validation of MODIS11A2 LST in 2019 using AWS temperature on the glacier 2,Validation of MODIS11A2 LST during 2001-2020 using CMA station temperature over the Tibetan Plateau 3,Glacier surface heatwave during 2001-2020 over the Tibetan Plateau glacier
description: {"references": ["Chen, W., Yao, T., Zhang, G., Woolway, R.I., Yang, W., Xu, F., Zhou, T., 2023. Glacier Surface Heatwaves Over the Tibetan Plateau. Geophysical Research Letters 50, e2022GL101115. https://doi.org/10.1029/2022GL101115"]}
DOI: 10.5281/zenodo.7039698
title: Validation of MODIS11A2 LST and glacier surface heatwave during 2001-2020 over Tibetan Plateau

description: 1,Validation of MODIS11A2 LST in 2019 using AWS temperature on the glacier 2,Validation of MODIS11A2 LST during 2001-2020 using CMA station temperature over the Tibetan Plateau 3,Glacier surface heatwave during 2001-2020 over the Tibetan Plateau glacier
description: {"references": ["Chen, W., Yao, T., Zhang, G., Woolway, R.I., Yang, W., Xu, F., Zhou, T., 2023. Glacier Surface Heatwaves Over the Tibetan Plateau. Geophysical Research Letters 50, e2022GL101115. https://doi.org/10.1029/2022GL101115"]}
DOI: 10.5519/qd.nnllk9ak
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3276 records)
DOI: 10.6084/m9.figshare.22275870
title: Data from A light-exploiting insectivorous bat shows no melatonin disruption under lights with different spectra.

description: Metadata and urinary melatonin-sulfate concentrations.
DOI: 10.6084/m9.figshare.22275870.v1
title: Data from A light-exploiting insectivorous bat shows no melatonin disruption under lights with different spectra.

description: Metadata and urinary melatonin-sulfate concentrations.
DOI: 10.6084/m9.figshare.22275867.v1
title: Image of experimental enclosures and LED spectra used in ‘A light-exploiting insectivorous bat shows no melatonin disruption under lights with different spectra.’

description: S2. Image of experimental enclosures and LED spectra; (A) red (A; λP 630 nm), (B) amber (λP 601 nm), (C) filtered warm white (λP 586 nm) and (D) cool white (λP 457 nm).
DOI: 10.25345/c56m33d48
title: MassIVE MSV000091504 - SdeA TAP LC-MS/MS dimethyl labeling proteomics
title: Identification of the SdeA PR-ubiquitination substrates in human cells by TAP LC-MS/MS and dimethyl labeling.
DOI: 10.6084/m9.figshare.21900462.v1
title: 16S rRNA gene sequencing data

description: 16S rRNA gene sequencing data
DOI: 10.6084/m9.figshare.22292953
title: Time Series for LEO

description: README <br> <strong>1. Introduction</strong> <br> <br> <strong>1.1</strong> This folder contains time series for the elevation angle obtained from simulations for the following orbit altitudes: <br> 1. 1000 km 2. 1200 km 3. 1400 km 4. 1600 km 5. 1800 km 6. 2000 km <br> <br> <strong>1.2</strong> For each altitude, the following orbit inclinations where considered: <br> 20º, 25º, 30º, ..., 85º <strong>1.3 </strong>The elevation angle time series were observed from 16 Earth Station's, ES's. Those ES's are numbered and located* as follows: <br> 1. ES1 = ( 0º, 276.7121º) 2. ES2 = ( 5º, 276.7121º) 3. ES3 = (10º, 276.7121º) 4. ES4 = (15º, 276.7121º) 5. ES5 = (20º, 276.7121º) 6. ES6 = (25º, 261.7121º) 7. ES1 = (30º, 259.7121º) 8. ES2 = (35º, 259.7121º) 9. ES3 = (40º, 259.7121º) 10. ES4 = (45º, 259.7121º) 11. ES5 = (50º, 259.7121º) 12. ES6 = (55º, 259.7121º) 13. ES7 = (60º, 259.7121º) 14. ES8 = (65º, 259.7121º) 15. ES9 = (70º, 259.7121º) 16. ES10 = (75º, 259.7121º) 17. ES11 = (80º, 259.7121º) 18. ES12 = (85º, 259.7121º) <br> *Location for the ES's is provided in cartesian format: (latitude in deg, longitude in deg) <strong>1.4</strong> The eccentricity for all the simulations correspond to that of a circular orbit. <br> <br> <strong>1.5</strong> For organization convenience, all the time series files are organized within six folders according to their orbit altitudes. <br> <br> <strong>1.6</strong> Files in this folder are provided to facilitate reproduction of our work and to encourage future work based on our proposed methodology and results. <br> <br> <br> <br> <br> <br> <strong>2. General description</strong> <br> <br> <strong>2.1</strong> Time series filenames Each time series is identified with the following character format: <br> "hhhh-ii-ES#.csv". where: hhhh indicates the orbit altitude ii indicates the orbit inclination ES# indicates the ES from which the elevation angle is being observed <br> <br> <strong>2.2</strong> Time series length Elevation angle time series are provided for a simulation period of 180 days. <br> <br> <br> <br> <br> <br> <strong>3. File format</strong> <br> <strong>3.1</strong> Time series are provided using the .csv (comma separated values) file format to facilitate reading through diverse programming tools. <br> <strong>3.2</strong> Each time series is provided as an individual two-column .csv file. The first column contains the time vector and the second contains the corresponding elevation angle vector. <br>
DOI: 10.6084/m9.figshare.22292953.v1
title: TimeSeries.zip

description: README <br> <strong>1. Introduction</strong> <br> <br> <strong>1.1</strong> This folder contains time series for the elevation angle obtained from simulations for the following orbit altitudes: <br> 1. 1000 km 2. 1200 km 3. 1400 km 4. 1600 km 5. 1800 km 6. 2000 km <br> <br> <strong>1.2</strong> For each altitude, the following orbit inclinations where considered: <br> 20º, 25º, 30º, ..., 85º <strong>1.3 </strong>The elevation angle time series were observed from 16 Earth Station's, ES's. Those ES's are numbered and located* as follows: <br> 1. ES1 = ( 0º, 276.7121º) 2. ES2 = ( 5º, 276.7121º) 3. ES3 = (10º, 276.7121º) 4. ES4 = (15º, 276.7121º) 5. ES5 = (20º, 276.7121º) 6. ES6 = (25º, 261.7121º) 7. ES1 = (30º, 259.7121º) 8. ES2 = (35º, 259.7121º) 9. ES3 = (40º, 259.7121º) 10. ES4 = (45º, 259.7121º) 11. ES5 = (50º, 259.7121º) 12. ES6 = (55º, 259.7121º) 13. ES7 = (60º, 259.7121º) 14. ES8 = (65º, 259.7121º) 15. ES9 = (70º, 259.7121º) 16. ES10 = (75º, 259.7121º) 17. ES11 = (80º, 259.7121º) 18. ES12 = (85º, 259.7121º) <br> *Location for the ES's is provided in cartesian format: (latitude in deg, longitude in deg) <strong>1.4</strong> The eccentricity for all the simulations correspond to that of a circular orbit. <br> <br> <strong>1.5</strong> For organization convenience, all the time series files are organized within six folders according to their orbit altitudes. <br> <br> <strong>1.6</strong> Files in this folder are provided to facilitate reproduction of our work and to encourage future work based on our proposed methodology and results. <br> <br> <br> <br> <br> <br> <strong>2. General description</strong> <br> <br> <strong>2.1</strong> Time series filenames Each time series is identified with the following character format: <br> "hhhh-ii-ES#.csv". where: hhhh indicates the orbit altitude ii indicates the orbit inclination ES# indicates the ES from which the elevation angle is being observed <br> <br> <strong>2.2</strong> Time series length Elevation angle time series are provided for a simulation period of 180 days. <br> <br> <br> <br> <br> <br> <strong>3. File format</strong> <br> <strong>3.1</strong> Time series are provided using the .csv (comma separated values) file format to facilitate reading through diverse programming tools. <br> <strong>3.2</strong> Each time series is provided as an individual two-column .csv file. The first column contains the time vector and the second contains the corresponding elevation angle vector. <br>
DOI: 10.5281/zenodo.7743877
title: Data-driven synthesis of lead-free halide double perovskite

description: Code, algorithm, and data are available to generate results that are reported in the paper and central to the main claims.
DOI: 10.5281/zenodo.7743876
title: Data-driven synthesis of lead-free halide double perovskite

description: Code, algorithm, and data are available to generate results that are reported in the paper and central to the main claims.
DOI: 10.6084/m9.figshare.14618175
title: Amphibian and Reptile population genetics at Montagne d'Ambre, Madagascar

description: Datasets used for the analysis of population genetic differentiation along an altitudinal transect at Montagne d'Ambre, Madagascar. Files comprise:- Lists of newly characterized microsatellite markers for four focal taxa- Input files of microsatellite alleles used for STRUCTURE analyses for the four focal taxa<br>
DOI: 10.6084/m9.figshare.14618175.v1
title: Amphibian and Reptile population genetics at Montagne d'Ambre, Madagascar

description: Datasets used for the analysis of population genetic differentiation along an altitudinal transect at Montagne d'Ambre, Madagascar. Files comprise:- Lists of newly characterized microsatellite markers for four focal taxa- Input files of microsatellite alleles used for STRUCTURE analyses for the four focal taxa<br>
DOI: 10.5281/zenodo.7372478
title: Remote Sensing based Sea Surface partial pressure of CO2 (pCO2) in China Seas (2003-2019)

description: This dataset is sea surface partial pressure of CO2 (pCO2) in China seas (0-42°N, 105-132°E) over 2003-2019 with a spatial resolution of 1km and temporal resolution of a month. This is our second version of pCO2 in China seas. The first version was published on the SatCO2 website (http://www.satco2.com/index.php?m=content&c=index&a=show&catid=317&id=188). We produce this dataset by creating a boost machine learning algorithm (XGBoost) based on the gradient boost decision tree (GBDT). The input parameters used in this are sea surface temperature (SST), chlorophyll-a concentration (Chl-a), remote sensing reflectance of three bands (Rrs412, 443, 488 nm), the temperature difference in longitude direction (SST_DIF), and the theoretical background <em>p</em>CO<sub>2</sub> (<em>p</em>CO<sub>2</sub>_therm) under corresponding SST. SST_DIF is derived from SST by subtracting the mean value at the same latitude. To calculate <em>p</em>CO<sub>2</sub>_therm, we first assume that the seawater background <em>p</em>CO<sub>2</sub> equals the annual average atmospheric <em>p</em>CO<sub>2</sub> (sea-air <em>p</em>CO<sub>2</sub> balanced under ideal conditions), and the equilibrium temperature is assumed to be the yearly average SST; Then, the background <em>p</em>CO<sub>2</sub> is corrected according to SST to obtain <em>p</em>CO<sub>2</sub>_therm. Air pressure at sea level (SLP) and mole fraction of CO<sub>2</sub> in the air (xCO<sub>2</sub>) are employed when calculating atmospheric <em>p</em>CO<sub>2</sub>. The underway <em>p</em>CO<sub>2</sub> is first gridded to monthly 1 km and then divided into the training and validation sets with the volumes 151009 and 32584 samples. The validation set shows coefficients of determination (R<sup>2</sup>) between the XGBoost model-predicted and in-situ <em>p</em>CO<sub>2</sub> were 0.86, and the root means squared errors (RMSE) for the <em>p</em>CO<sub>2</sub> were 21.1 μatm.
DOI: 10.34740/kaggle/dsv/5182431
title: AutoXGB
DOI: 10.6084/m9.figshare.22293076
title: RRS spectra for age–related hemoporphyrin alterations in human RBCs; Label-free testing strategy to evaluate packed red blood cell quality before transfusion to leukemia patients

description: RRS spectra for age–related hemoporphyrin alterations in human RBCs collected using 488 nm excitation wavelengths.
DOI: 10.6084/m9.figshare.22269604
title: ASSOCIATION OF ELEVATED IL-6 WITH POOR GLYCEMIC CONTROL IN PERIODONTITIS PATIENTS

description: This data depository includes a ethical clearance letter and the tabulated raw data collected during the course of the study which was later statistically analyzed to derive results and draft the article.
DOI: 10.17632/nz9cg5v2gc.1
title: Thomas et al. (2006) Replication Data

description: Dataset supporting study replicating Thomas et al.'s (2006) paper, examining cheek biases of images of babies, dogs, cats, fish and lizards.
DOI: 10.5517/ccdc.csd.cc2bxmws
title: CCDC 2172476: Experimental Crystal Structure Determination

description: Related Article: Heun-Jong Ha, Bora Kim, Subin Jo, Sugyeong Kim, Junho Park, Chang-Woo Cho|2023|J.Org.Chem.|88|2714|doi:10.1021/acs.joc.2c02187
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/ccb1pst
title: CCDC 299546: Experimental Crystal Structure Determination

description: Related Article: A.L.Rheingold, T.A.Hanna, Lihua Liu|2006|CSD Communication|||
description: Related Article: Lihua Liu, Daniel Mendoza-Espinosa, Mauricio Quiroz-Guzmán, Arnold L. Rheingold, Tracy A. Hanna, Gobinda Saha, Liming Tang, Yanhui Chen, Megan Gilbert, Abhirup Dutta, Alexandru D. Asandei|2023|Organometallics|42|414|doi:10.1021/acs.organomet.3c00053
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.cc221t0z
title: CCDC 1908360: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2019|CSD Communication|||
description: Related Article: Lihua Liu, Daniel Mendoza-Espinosa, Mauricio Quiroz-Guzmán, Arnold L. Rheingold, Tracy A. Hanna, Gobinda Saha, Liming Tang, Yanhui Chen, Megan Gilbert, Abhirup Dutta, Alexandru D. Asandei|2023|Organometallics|42|414|doi:10.1021/acs.organomet.3c00053
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.cc2c2jcc
title: CCDC 2177172: Experimental Crystal Structure Determination

description: Related Article: Lihua Liu, Daniel Mendoza-Espinosa, Mauricio Quiroz-Guzmán, Arnold L. Rheingold, Tracy A. Hanna, Gobinda Saha, Liming Tang, Yanhui Chen, Megan Gilbert, Abhirup Dutta, Alexandru D. Asandei|2023|Organometallics|42|414|doi:10.1021/acs.organomet.3c00053
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.cc21ywb7
title: CCDC 1905549: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2019|CSD Communication|||
description: Related Article: Lihua Liu, Daniel Mendoza-Espinosa, Mauricio Quiroz-Guzmán, Arnold L. Rheingold, Tracy A. Hanna, Gobinda Saha, Liming Tang, Yanhui Chen, Megan Gilbert, Abhirup Dutta, Alexandru D. Asandei|2023|Organometallics|42|414|doi:10.1021/acs.organomet.3c00053
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.cc2cly1z
title: CCDC 2192941: Experimental Crystal Structure Determination

description: Related Article: Chong-Yang Shi, Tao Han, Feng-Lin Hong, Long-Wu Ye, Qing Sun, Ming-Yu Teng|2023|Org.Lett.|25|1525|doi:10.1021/acs.orglett.3c00319
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.cc2d1sy6
title: CCDC 2206268: Experimental Crystal Structure Determination

description: Related Article: Yinpeng Wang, Mingming Zhao, Jingke Peng, Hongxia Zheng, Heng-Ying Xiong, Guangwu Zhang|2023|Org.Lett.|25|1458|doi:10.1021/acs.orglett.3c00190
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: 10.6084/m9.figshare.21610077
title: Accurate GW frontier orbital energies of 134 kilo molecules of the QM9 dataset.

description: A dataset of HOMO/LUMO energies of the QM9 dataset computed at GW level of theory.
DOI: 10.5255/ukda-sn-856145
title: Environmental Transects Surveys of Mismanaged Waste in Off-Grid Neighbourhoods of Kisumu, Kenya, and Greater Accra, Ghana, 2021

description: This data set records mismanaged waste in off-grid neighbourhoods lacking essential services in two cities, namely Greater Accra in Ghana and Kisumu in Kenya. The underlying study aimed to quantify mismanaged waste patterns and composition in both cities and evaluate the extent to which environmental transect surveys could be used to quantify mismanaged waste in off-grid urban settings. Two surveyors independently recorded scattered waste items, burnt waste piles, and large waste piles along transects repeated at different times of day. Findings suggest that scattered waste density is considerably higher in Kisumu than in Greater Accra and that products such as nappies and water packaging are locally important waste components. Bland and Altman analysis suggests high inter-observer variation in scattered waste counts, but strong agreement between observers in recording waste piles.
DOI: 10.34740/kaggle/dsv/5182264
title: Cricket Umpires Action Classification
DOI: 10.5281/zenodo.7743881
title: In situ SIF dataset for validating OCO2/3 SIF products

description: The matched in situ SIF observations for validating OCO2/3 SIF products
DOI: 10.5281/zenodo.7743880
title: In situ SIF dataset for validating OCO2/3 SIF products

description: The matched in situ SIF observations for validating OCO2/3 SIF products
DOI: 10.5281/zenodo.7744011
title: Datasets for Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13

description: Datasets used in the publication ' Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13'
DOI: 10.5281/zenodo.7744010
title: Datasets for Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13

description: Datasets used in the publication ' Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13'
DOI: 10.6084/m9.figshare.21953384.v1
title: The sample locations, descriptions, grain shape, and major elements of sand-sized detrital sediments from the Hulunbeier Sandy Land

description: The supporting datasets of Liang and Yang's research article submitted to Journal of Geophysical Research-Earth Surface.
DOI: 10.25345/c5dc7p
title: MassIVE MSV000083236 - Kinome profiling identifies drug resistance pathways in hepatocellular carcinoma
title: Hepatocellular carcinoma (HCC) is the second leading cause of cancer death worldwide. A complex molecular background, lack of oncogenic alterations, and drug resistance hampers drug development. USFDA-approved targeted chemotherapeutics include multi-kinase inhibitors although response rates remain below 10%. We developed a pharmacoproteomics platform combining kinase activity profiling of 342 kinases and phenotypic screening of 299 kinase inhibitors in 17 HCC cell lines to identify kinase pathways responsible for drug response. We found that AXL and NUAK1/2 kinases were vital components of a CHEK inhibitor resistance pathway that, when modulated, rewired cellular signaling and restored sensitivity to CHEK inhibitors. We applied our kinobead-MS to study clinical HCC samples and found highly active kinases in both cell lines and patient tumors. Our approach identifies kinome features relevant to the activity of individual drugs, is broadly applicable, and our dataset is a resource for biomarker discovery and target deconvolution.