cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3630535
title: Is the lunar magnetic field correlated with gravity or topography?

description: Supplementary data to the article Gong, S. and Wieczorek, M. (2020) Is the lunar magnetic field correlated<br> with gravity or topography? Journal of Geophysical Research: Planets. This archive contains the Bouguer gravity model used in the analyses of the<br> above cited manuscript, as well as the data files to reproduce Figures 2-3 and<br> Figures S1-S3. For the correlation results, the bandwidth and angular radius of<br> the window were 26 and 10 degrees, respectively, which yields a concentration<br> factor that is better than 99%. <br> FILE DESCRIPTIONS 34_12_3220_900_80_misfit.sh This file contains the spherical harmonic coefficients of the Bouguer<br> gravity model up to degree and order 900. The two values in the first<br> row correspond to the reference radius of the model in km and the<br> constant GM in km^3/s^-2. To generate this model, all known gravitational<br> contributions from the crust were removed from the free-air gravity,<br> including surface relief, lateral variations in crustal density, and<br> crustal thickness variations. The crustal thickness model is from<br> Wieczorek et al. (2013), which has an average thickness of 34 km, a<br> constant crustal porosity of 12%, and a mantle density of 3200 kg/m^3. <br> mc_total_10_26_1_surface.dat Data used to generate the lower panel of Figure 2. This file contains the<br> 95% confidence limits of the average correlation from the Monte Carlo<br> simulations which were performed every 30 degrees in both longitude and<br> latitude. The first two columns correspond to the latitude and longitude,<br> and the third to fifth columns correspond to the 95% confidence limits by<br> using topography, total free-air gravity, and total Bouger gravity,<br> respectively. <br> spec_10_26_1_surface.dat Data used to generate Figure 3. Correlation results between total magnetic<br> field and topography, total free-air gravity, and total Bouguer gravity at<br> the surface. The first two columns correspond to the latitude and longitude,<br> and the third to fifth columns correspond to the ratio between the average<br> correlation and its 95% confidence limits by using topography, total<br> free-air gravity, and total Bouger gravity, respectively. If the value is<br> equal to or greater than 1, this indicates that the total magnetic field is<br> positively correlated with the testing field (topography, total free-air<br> gravity, or total Bouguer gravity); If the value is equal to or less than<br> -1, this indicates that the total magnetic field is negatively correlated<br> with the testing field. <br> spec_10_26_1_surface_4lwin.dat Data used to generate Figure S1. Correlation results calculated at the<br> surface by removing the first 4*lwin degrees. <br> spec_10_26_1_30km.dat Data used to generate Figure S2. Correlation results calculated at 30 km<br> altitude. <br> spec_10_26_1_surface_3sigma.dat Data used to generate Figure S3. Correlation results calculated at the<br> surface by using the 99% confidence limits.
DOI: 10.25345/c58h52
title: MassIVE MSV000084893 - PRMT5 control of cGAS/STING and NLRC5 pathways defines melanoma response to antitumor immunity
title: Protein arginine methyltransferase 5 (PRMT5) controls diverse cellular processes and is implicated in cancer development and progression. Here, we identify PRMT5 function in antitumor immunity. PRMT5 inhibition antagonized melanoma growth in immunocompetent but not immunocompromised mice, and its expression was inversely correlated with an antitumor immune gene signature. PRMT5 methylation of IFI16 (interferon gamma inducible protein 16) /IFI204 (interferon activated gene 204, murine homlog), a cGAS (cyclic GMP-AMP synthase)/STING (stimulator of interferon genes) pathway component, attenuated cytosolic-DNA-induced interferon and chemokine production. PRMT5 also inhibited transcription of NLRC5 (NLR Family CARD Domain Containing 5), which regulates genes implicated in MHCI antigen presentation. Correspondingly, PRMT5 knockdown augmented interferon and chemokine production and increased MHCI expression. Elevated expression of IFI16/IFI204 and NLRC5 was associated with decreased murine melanoma growth and prolonged survival of melanoma patients. Notably, pharmacological (GSK3326595) or genetic (shRNA) inhibition of PRMT5 in murine melanoma models (B16F10 and YUMM1.7) limited tumor growth and enhanced the efficacy of immune checkpoint therapy in vivo. Our study defines antitumor immunity based on tumor-intrinsic PRMT5 activity, providing a rationale to test PRMT5 inhibitors in immunotherapy-based clinical trials.
DOI: 10.5281/zenodo.3635450
title: Ensemble calculations of "RR90p" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>RR90p <strong>Definition:</strong> Average number of days that the daily precipitation is above the 90th percentile of daily precipitation of a five day window. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily near-surface maximum temperature. All ensemble members are bias-corrected against the gridded daily observational dataset E-OBS. Results (ensemble mean and standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) climate periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The bias-corrected EURO-CORDEX climate model simulations used are: CLMcom-CCLM4-8-17/ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/MOHC-HadGEM2-ES DMI-HIRHAM5/ICHEC-EC-EARTH KNMI-RACMO22E/ICHEC-EC-EARTH, KNMI-RACMO22E/MOHC-HadGEM2-ES SMHI-RCA4/ICHEC-EC-EARTH, SMHI-RCA4/MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3635451
title: Ensemble calculations of "RR90p" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>RR90p <strong>Definition:</strong> Average number of days that the daily precipitation is above the 90th percentile of daily precipitation of a five day window. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily near-surface maximum temperature. All ensemble members are bias-corrected against the gridded daily observational dataset E-OBS. Results (ensemble mean and standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) climate periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The bias-corrected EURO-CORDEX climate model simulations used are: CLMcom-CCLM4-8-17/ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/MOHC-HadGEM2-ES DMI-HIRHAM5/ICHEC-EC-EARTH KNMI-RACMO22E/ICHEC-EC-EARTH, KNMI-RACMO22E/MOHC-HadGEM2-ES SMHI-RCA4/ICHEC-EC-EARTH, SMHI-RCA4/MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3630154
title: Monte-Carlo simulation of dike stability based on a coupled steady-state hydro-stability model

description: With a large network of dikes that in the future will protect up to 15% of the worlds population from flooding, more extreme river discharges that result from climate change will dramatically increase the flood risk of these protected societies. Precise calculations of dike stability under adverse loading conditions will become increasingly important, though the hydrological impacts on dike stability, particularly the effects of groundwater flow, are often oversimplified in stability calculations. In order to better take account of groundwater flow processes, we use a coupled hydro-stability model to indicate relations between the geometry, subsurface materials, groundwater hydrology and stability of a dike. To calculate the stability, the most adverse drained loading conditions are applied to soil slip and basal sliding mechanisms. A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains the parameter combinations that resulted in a stability factor (F) closest to the critical conditon, e.g. closest to F=1. The database can be used to estimate failure probabilities for dike stretches that have not been assessed in detail, while including the uncertainties caused by a lack of in-situ data.
DOI: 10.5281/zenodo.3635246
title: Prescribed Burn Statistical Analysis and R Code

description: Paper: Diversity and composition of fungal soil communities across prescribed burn areas in temperate hardwood forests Authors: S.D. Russell & M.C. Aime All of the R code for the paper and the supplemental materials required to run it. This includes the BIOM file and the metadata file. The analysis is separated by the total fungal community and a separate analysis (and R file) for the ECM analysis.
DOI: 10.5281/zenodo.3635247
title: Prescribed Burn Statistical Analysis and R Code

description: Paper: Diversity and composition of fungal soil communities across prescribed burn areas in temperate hardwood forests Authors: S.D. Russell & M.C. Aime All of the R code for the paper and the supplemental materials required to run it. This includes the BIOM file and the metadata file. The analysis is separated by the total fungal community and a separate analysis (and R file) for the ECM analysis.
DOI: 10.5281/zenodo.3635501
title: TOA-Manuscript-Performance-Evaluation-Tests

description: <strong>Table of contents</strong> This repository contains the data that support the findings of the manuscript "TOA: a software package for automated functional annotation in non-model plant species". <strong>Directories:</strong> <strong>benchmark-transcriptomes:</strong> Fasta files with the sequences corresponding to the benchmark transcriptomes tested in the manuscript: <strong>Cnuc:</strong> <em>Cocos nucifera</em> embryos (Huang et al., 2014). <strong>Fsyl:</strong> <em>Fagus sylvatica</em> leaves (Müller, Seifert, Lübbe, Leuschner, & Finkeldey, 2017). <strong>Pcan:</strong> <em>Pinus canariensis</em> immature xylem (Chano, Collada, & Soto, 2017). <strong>TOA:</strong> output of the six simulation tests performed with TOA. <strong>EnTAP:</strong> output of the six simulation tests performed with EnTAP. <strong>Trinotate:</strong> output of the three simulation tests performed with Trinotate. <strong>References:</strong> Chano, V., Collada, C., & Soto, A. (2017). Transcriptomic analysis of wound xylem formation in <em>Pinus canariensis</em>. <em>BMC Plant Biology</em>, <em>17</em>(234). doi:10.1186/s12870-017-1183-3 Huang, Y. Y., Lee, C. P., Fu, J. L., Chang, B. C. H., Matzke, A. J. M., & Matzke, M. (2014). <em>De novo</em> transcriptome sequence assembly from coconut leaves and seeds with a focus on factors involved in RNA-directed DNA methylation. <em>G3: Genes, Genomes, Genetics</em>, <em>4</em>(11), 2147–2157. doi:10.1534/g3.114.013409 Müller, M., Seifert, S., Lübbe, T., Leuschner, C., & Finkeldey, R. (2017). <em>De novo</em> transcriptome assembly and analysis of differential gene expression in response to drought in European beech. <em>PLoS ONE</em>, <em>12</em>(9), 1–20. doi:10.1371/journal.pone.0184167
description: This work was supported by the following projects: SUBERINTRO (AGL2015-67495-C2-2-R), funded by the Spanish Ministry of Economy and Competitiveness; EDGECLOUD (RTI2018-096465-B-I00), funded by the Spanish Ministry of Science, Innovation and Universities; and EDGEDATA (P2018/TCS4499) funded by the Autonomous Community of Madrid.
DOI: 10.26050/wdcc/hopm_trop_actos
title: HD(CP)2 short term observation data of ACTOS, HOPE-Melpitz campaign by TROPOS

description: Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable the critical assessment of the HD(CP)2 simulations, as well as tools to enable model-data comparisons. Phase II Objective: To extend the methods of evaluation and encapsulation to a second, tropical, model domain, for which satellite remote sensing will be the primary data source. For more information see links: http://www.hdcp2.eu/Observations.2269.0.html , http://www.hdcp2.eu/ Summary: Airborne measurements with ACTOS during HOPE Melpitz. The airborne measurements above the measurement site Melpitz (51°31'31.18N 12°55'47.20E), ACTOS took off from airfield Beilrode (51°34'17.96N 13°3'33.15E).
DOI: 10.25573/data.11798979.v1
title: Panama Canal Meteorological Data_Jagua

description: Data from the Panama Canal Authority (ACP) Jagua meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798982.v1
title: Panama Canal Meteorological Data_Limon Bay

description: Data from the Panama Canal Authority (ACP) Limon Bay meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798991.v1
title: Panama Canal Meteorological Data_Tranquilla

description: Data from the Panama Canal Authority (ACP) Tranquilla meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.<br><br>
DOI: 10.25573/data.11798940.v1
title: Panama Canal Meteorological Data_Gamboa

description: Data from the Panama Canal Authority (ACP) Gamboa meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798958.v1
title: Panama Canal Meteorological Data_Gasparillal

description: Data from the Panama Canal Authority (ACP) Gasparillal meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798964.v1
title: Panama Canal Meteorological Data_Gatun West

description: Data from the Panama Canal Authority (ACP) Gatun West meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798976.v1
title: Panama Canal Meteorological Data_Humedad

description: Data from the Panama Canal Authority (ACP) Humedad meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798925.v1
title: Panama Canal Meteorological Data_Dos Bocas

description: Data from the Panama Canal Authority (ACP) Dos Bocas meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11798931.v1
title: Panama Canal Meteorological Data_Flamenco

description: Data from the Panama Canal Authority (ACP) Flamenco meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11794575.v1
title: Panama Canal Meteorological Data_Agua Salud

description: Data from the Panama Canal Authority (ACP) Agua Salud meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.
DOI: 10.25573/data.11794371.v1
title: Panama Canal Meteorological Data_Corozal

description: <b>Data from the Panama Canal Authority (ACP) Corozal meteorological station.<br></b><br><b>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br></b><b>Any publication using these data should credit the Panama Canal Authority.</b><b><br></b><b>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.</b><br>
DOI: 10.25573/data.11794401.v1
title: Panama Canal Meteorological Data_Balboa FAA

description: Data from the Panama Canal Authority (ACP) Balboa FAA (Albrook) meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.<br><br>
DOI: 10.17632/kwb72gw97r.1
title: Data for: Gamma Spectrum Denoising Method Based on Improved Wavelet Threshold

description: Data used in this paper
DOI: 10.21961/mdm:39620
title: Smart Device System Meta Data Definitions

description: Metadata definitions for the Smart Device System for Movement Disorders. Clinical Protocol and Registration Information available on: https://clinicaltrials.gov/ct2/show/NCT03638479 Principal Investigator: Julian Varghese Description for Assessment Steps for Neurologic Examination are available under: Varghese J, Niewöhner S, Soto-Rey I, et al. A Smart Device System to Identify New Phenotypical Characteristics in Movement Disorders. Front Neurol. 2019;10:48. doi:10.3389/fneur.2019.00048
DOI: 10.5519/qd.2g0kqrrr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4503833 records)