cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48758/ufz.12319
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201812

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, December 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY335-365 (Dec 2018)

file: DE-HoH_201812_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12318
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201811

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, November 2021. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY305-334 (Nov 2018)

file: DE-HoH_201811_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.5281/zenodo.7897639
title: CAELUS: Classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds

description: CAELUS, a novel classification algorithm that relies on various thresholds to separate all possible sky conditions into six classes, is presented in Ruiz-Arias and Gueymard (2023, doi: 10.1016/j.solener.2023.111895). This dataset was used to develop, validate and benchmark CAELUS. It is made up by 1-min quality-assured observations of global horizontal irradiance (GHI) and diffuse horizontal irradiance at 54 stations of the Baseline Surface Radiation Network (BSRN) archive, which is publicly available (see download instructions in https://bsrn.awi.de/data). The dataset includes 5 years of data per station, except in two of them (Petrolina, Brazil, and Solar Village, Saudi Arabia), combined with other variables that are required to run CAELUS, namely: solar zenith angle (sza), extraterrestrial horizontal solar irradiance (eth), clear-sky GHI (ghics) and GHI in a clean and dry atmosphere (ghicda). In addition, the dataset also provides the sky classification obtained with CAELUS. Further details about CAELUS and the dataset compilation is available in Ruiz-Arias and Gueymard (2023, doi: 10.1016/j.solener.2023.111895). A Python implementation of CAELUS is available in https://github.com/jararias/caelus.
description: This work was supported by the project PID2019-107455RB-C21 funded by MCIN/AEI/ 10.13039/501100011033, the project UMA20-FEDERJA-134 jointly funded by the FEDER 2014-2020 Operative Program and the Consejería de Economía, Conocimiento, Empresas y Universidad of the Junta de Andalucía, and by Solargis s.r.o. through the collaboration agreement 2021-124 with the University of Málaga. The authors would like to thank the scientists and personnel in charge of the BSRN stations for acquiring, processing and kindly sharing their datasets, which have been central to this study. Moreover, the authors acknowledge the scientists and personnel of the Global Modelling and Assimilation Office at NASA Goddard Space Flight Center who provided the MERRA‑2 atmospheric data that were advantageously used to calculate the clear-sky solar irradiance.
DOI: 10.5281/zenodo.7897583
title: CAELUS: Classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds

description: CAELUS, a novel classification algorithm that relies on various thresholds to separate all possible sky conditions into six classes, is presented in Ruiz-Arias and Gueymard (2023, doi: 10.1016/j.solener.2023.111895). This dataset was used to develop, validate and benchmark CAELUS. It is made up by 1-min quality-assured observations of global horizontal irradiance (GHI) and diffuse horizontal irradiance at 54 stations of the Baseline Surface Radiation Network (BSRN) archive, which is publicly available (see download instructions in https://bsrn.awi.de/data). The dataset includes 5 years of data per station, except in two of them (Petrolina, Brazil, and Solar Village, Saudi Arabia), combined with other variables that are required to run CAELUS, namely: solar zenith angle (sza), extraterrestrial horizontal solar irradiance (eth), clear-sky GHI (ghics) and GHI in a clean and dry atmosphere (ghicda). In addition, the dataset also provides the sky classification obtained with CAELUS. Further details about CAELUS and the dataset compilation is available in Ruiz-Arias and Gueymard (2023, doi: 10.1016/j.solener.2023.111895). A Python implementation of CAELUS is available in https://github.com/jararias/caelus.
description: This work was supported by the project PID2019-107455RB-C21 funded by MCIN/AEI/ 10.13039/501100011033, the project UMA20-FEDERJA-134 jointly funded by the FEDER 2014-2020 Operative Program and the Consejería de Economía, Conocimiento, Empresas y Universidad of the Junta de Andalucía, and by Solargis s.r.o. through the collaboration agreement 2021-124 with the University of Málaga. The authors would like to thank the scientists and personnel in charge of the BSRN stations for acquiring, processing and kindly sharing their datasets, which have been central to this study. Moreover, the authors acknowledge the scientists and personnel of the Global Modelling and Assimilation Office at NASA Goddard Space Flight Center who provided the MERRA‑2 atmospheric data that were advantageously used to calculate the clear-sky solar irradiance.
DOI: 10.25838/d5p-50
title: Regulation of STING activity in DNA sensing by ISG15 modification

description: Molecular modeling and simulations suggest that ISGylation of K289 of STING is an important regulator of STING oligomerization
DOI: 10.48758/ufz.12317
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201810

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, October 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY274-304 (Oct 2018)

file: DE-HoH_201810_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12316
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201809

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, September 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY244-273 (Sep 2018)

file: DE-HoH_201809_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12315
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201808

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m,August 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY213-243 (Aug 2018)

file: DE-HoH_201808_eddy-raw_csv
more files available in the same repository
DOI: 10.48758/ufz.12314
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201807

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, July 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY182-212 (Jul 2018)

file: DE-HoH_201807_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.5281/zenodo.8339043
title: Dataset for intercomparison of Sen4GPP GPP products at fluxtower sites

description: This dataset provides the estimation of various gross primary productivity (GPP) products made within the Sen4GPP project at eddy covariance flux tower sites. These cover about the time range from "2018-05-04" to "2020-12-29" with an 8-daily frequency. There are 3 types or categories of products (LUE, SIF and ML) based on the 3 different approaches used in the Sen4GPP project to estimate GPP. For more information please refer to the respective ATBD and PVR documents of the Sen4GPP project.
DOI: 10.5281/zenodo.8339044
title: Dataset for intercomparison of Sen4GPP GPP products at fluxtower sites

description: This dataset provides the estimation of various gross primary productivity (GPP) products made within the Sen4GPP project at eddy covariance flux tower sites. These cover about the time range from "2018-05-04" to "2020-12-29" with an 8-daily frequency. There are 3 types or categories of products (LUE, SIF and ML) based on the 3 different approaches used in the Sen4GPP project to estimate GPP. For more information please refer to the respective ATBD and PVR documents of the Sen4GPP project.
DOI: 10.48758/ufz.12313
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201806

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, June 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

Hohes Holz DoY152-181 (Jun 2018)

file: DE-HoH_201806_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12312
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201805

description: Eddy-Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, May 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201805_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12311
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201804

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, April 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201804_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12310
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201803

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, March 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)
file: DE-HoH_XXXXXXX_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12309
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201802

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, Febuary 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201802_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12308
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201801

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, January 2018. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201801_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.48758/ufz.12301
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201712

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, December 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201712_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.6084/m9.figshare.24132081
title: Supplementary Material for: Diversity and evolution of highly repetitive DNA sequences constituting chromosome-site specific heterochromatin in two Gerbillinae species

description: Constitutive heterochromatin, consisting of repetitive sequences, diverges very rapidly; therefore, its nucleotide sequences and chromosomal distributions are often largely different, even between closely related species. The chromosome C-banding patterns of two Gerbillinae species, Meriones unguiculatus and Gerbillus perpallidus, vary greatly, even though they belong to the same subfamily. To understand the evolution of C-positive heterochromatin in these species, we isolated highly repetitive sequences, determined their nucleotide sequences, and characterized them using chromosomal and filter hybridization. We obtained a centromeric repeat (MUN-HaeIII) and a chromosome 13-specific repeat (MUN-EcoRI) from M. unguiculatus. We also isolated a centromeric/pericentromeric repeat (GPE-MBD) and an interspersed-type repeat that was predominantly amplified in the X and Y chromosomes (GPE-EcoRI) from G. perpallidus. GPE-MBD was found to contain a 17-bp motif that is essential for binding to the centromere-associated protein CENP-B. This indicates that it may play a role in the formation of a specified structure and/or function of centromeres. The nucleotide sequences of the three sequence families, except GPE-EcoRI, were conserved only in Gerbillinae. GPE-EcoRI was derived from the LINE-1 retrotransposon and showed sequence homology throughout Muridae and Cricetidae species, indicating that the repeat sequence occurred at least in the common ancestor of Muridae and Cricetidae. Due to a lack of assembly data of highly repetitive sequences constituting heterochromatin in whole-genome sequences of vertebrate species published to date, the knowledge obtained in this study provides useful information for a deep understanding of the evolution of repetitive sequences in not only rodents but also in mammals.
DOI: 10.6084/m9.figshare.24132081.v1
title: Supplementary Material for: Diversity and evolution of highly repetitive DNA sequences constituting chromosome-site specific heterochromatin in two Gerbillinae species

description: Constitutive heterochromatin, consisting of repetitive sequences, diverges very rapidly; therefore, its nucleotide sequences and chromosomal distributions are often largely different, even between closely related species. The chromosome C-banding patterns of two Gerbillinae species, Meriones unguiculatus and Gerbillus perpallidus, vary greatly, even though they belong to the same subfamily. To understand the evolution of C-positive heterochromatin in these species, we isolated highly repetitive sequences, determined their nucleotide sequences, and characterized them using chromosomal and filter hybridization. We obtained a centromeric repeat (MUN-HaeIII) and a chromosome 13-specific repeat (MUN-EcoRI) from M. unguiculatus. We also isolated a centromeric/pericentromeric repeat (GPE-MBD) and an interspersed-type repeat that was predominantly amplified in the X and Y chromosomes (GPE-EcoRI) from G. perpallidus. GPE-MBD was found to contain a 17-bp motif that is essential for binding to the centromere-associated protein CENP-B. This indicates that it may play a role in the formation of a specified structure and/or function of centromeres. The nucleotide sequences of the three sequence families, except GPE-EcoRI, were conserved only in Gerbillinae. GPE-EcoRI was derived from the LINE-1 retrotransposon and showed sequence homology throughout Muridae and Cricetidae species, indicating that the repeat sequence occurred at least in the common ancestor of Muridae and Cricetidae. Due to a lack of assembly data of highly repetitive sequences constituting heterochromatin in whole-genome sequences of vertebrate species published to date, the knowledge obtained in this study provides useful information for a deep understanding of the evolution of repetitive sequences in not only rodents but also in mammals.
DOI: 10.48758/ufz.12299
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201711

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, November 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201711_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.15151/esrf-dc-1331158694
title: Post-mortem Scanning X-ray Diffraction Microscopy of degradation of single particles and Li ionic order in high-voltage LiMn1.5Ni0.5O4 cathode materials

description: High voltage spinel cathode materials such as LiMn1.5Ni0.5O4 (LMNO) are considered to be the next step in the evolution of lithium-ion battery technology. The main motivations for studying these Co-free materials are their high energy density, fast charging capabilities and low material costs. However, this material widespread use is hindered by its significant degradation problem in particular capacity fade due to Mn dissolution from the surface of the particle. Both operando and post mortem SXDM studies are very well suited to study this phenomenon since it will allow to gather structural information on the strain gradients of the particles. We expect SXDM to give us insight into the interfacial reactions between Jahn–Teller distorted surface lattices and the electrolyte that is responsible for the capacity fade in LMNO. Moreover, the charge/discharge phase transitions of these materials are complex, and poorly understood, which currently limits their rechargeability and commercial viability. The operando BCDI data on strain transformation that takes place inside a single particle would give us valuable information about the change of lithium ionic order and phase evolution at nanoscale.
DOI: 10.48758/ufz.12298
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201710

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, October 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_XXXXXXX_eddy-raw_csv.zip
more files available in the same repository
DOI: 10.6084/m9.figshare.23922012.v1
title: Supplementary Material for: Resolving the Smoking Paradox: No Evidence for Smoking-Induced Preconditioning in Large Vessel Occlusion Stroke

description: Introduction: Smoking is an established risk factor for stroke. However, several studies have reported a better outcome after stroke for patients who smoke. According to this “smoking paradox” hypothesis, smoking might promote less severe strokes, higher collateral scores and smaller infarct cores. Methods: In this retrospective study, we screened data of 2980 acute ischemic stroke patients with MCA-M1 occlusion treated with mechanical thrombectomy. Patients were categorized according to smoking status (current, former or never). We assessed univariate associations between clinical characteristics and smoking status. Subsequently, we used adjusted regression analysis to evaluate associations of smoking with stroke severity on admission (NIHSS, primary endpoint), infarct core volume and collateral status (secondary endpoints). Results: Out of 320 patients, 19.7% (n = 63) were current and 18.8% (n = 60) former smokers. Admission NIHSS, reperfusion success and mRS after 3-6 months were similar in all groups. Current smokers were younger, more often male and less likely to have atrial fibrillation compared to former and never smokers. In regression analyses, smoking status was neither associated with admission NIHSS (estimate 0.54, 95% CI -1.27 – 2.35, p = 0.557) nor with collateral status (estimate 0.79, 95% CI 0.44 – 1.44, p = 0.447) or infarct core volume (estimate -0.69, 95% CI -15.15 – 13.77, p = 0.925 for current vs. never smokers). Discussion/Conclusion: We could not confirm the smoking paradox. Our results support the fact that smoking causes stroke at a younger age, highlighting the role of smoking as a modifiable vascular risk factor.
DOI: 10.5519/qd.gf2z0etx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1093 records)
DOI: 10.48758/ufz.12297
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201709

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, September 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201709_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.5281/zenodo.8340858
title: Temporal Validity Change Prediction - Dataset

description: This dataset contains data for <em>temporal validity change prediction</em>, an NLP task that will be defined in an upcoming publication. The dataset consists of five columns. target - A Tweet ID. This column must be manually rehydrated via the Twitter API to obtain the tweet text. follow_up - A synthetic follow-up tweet that semantically relates to the target tweet. context_only_tv - The expected temporal validity duration of the <strong>target </strong>tweet, when read in isolation. combined_tv - The expected temporal validity duration of the <strong>target </strong>tweet, when read <strong>together with the follow-up tweet</strong>. change - The TVCP task label, i.e., whether the temporal validity duration of the target tweet is <em>decreased</em>, unchanged (<em>neutral</em>), or <em>increased </em>by the information in the follow-up tweet. The duration labels (context_only_tv, combined_tv) are class indices of the following class distribution:<br> [no time-sensitive information, less than one minute, 1-5 minutes, 5-15 minutes, 15-45 minutes, 45 minutes - 2 hours, 2-6 hours, more than 6 hours, 1-3 days, 3-7 days, 1-4 weeks, more than one month] Different dataset splits are provided. "dataset.csv" contains the full dataset. "train.csv", "val.csv", "test.csv" contain an 80-10-10 train-val-test split. "train[0-4].csv" and "test[0-4].csv" respectively contain training and test data for one of 5 folds for 5-fold cross-validation. The train file contains 80% of the data, while the test file contains 20%. To replicate the original experiments, the train file should be sorted by the preprocessed target tweet text, then the first 12.5% of target tweets should be sampled to generate validation data, leading to a 70-10-20 train-val-test split.