cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3992605
title: Results of "Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM"

description: This archive provides ice sheet model output produced as part of the publication: Rückamp, M., Goelzer, H., and Humbert, A.: Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-329, in review, 2020. About the data:<br> The archive contains 4 tar-files for the 4 different resolutions. Each tar-file contains Matlab files for the dfferent scenarios. An examplary file structure looks as follows: results = struct with fields mesh_description: {'x=x_EPSG3413(m)' 'y=y_EPSG3413(m)'}<br> inputs_description: {'friction coefficient k^2 (s/m)' 'bedrock (m)'}<br> data_description: {1x13 cell}<br> mesh: [1x1 struct]<br> inputs: [1x1 struct]<br> data: [1x87 struct]<br> model_description: {'output from ISMIP6 AWI-ISSM, simulation: G4000 ctrl_proj, correspondence Martin Rueckamp (AWI): marin.rueckamp@awi.de'}<br> data_citation: {'Rückamp, M., Goelzer, H., and Humbert, A.: Results of "Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM", Zenodo, https://doi.org/10.5281/zenodo.3992605, 2020.'}<br> model_citation: {'Rückamp, M., Goelzer, H., and Humbert, A.: Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-329, in review, 2020.'} The fields results.[mesh,input,data]_description contain header information. The field results.mesh contains [x,y]-coordinates of the grid. The field results.inputs contains time-independent quantities such as bedrock. The field results.data contains results of the transient simulations, such as ice thickness or surface velocity. The fields results.[model,data]_citation contain information about data citation.
DOI: 10.5281/zenodo.3992604
title: Results of "Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM"

description: This archive provides ice sheet model output produced as part of the publication: Rückamp, M., Goelzer, H., and Humbert, A.: Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-329, in review, 2020. About the data:<br> The archive contains 4 tar-files for the 4 different resolutions. Each tar-file contains Matlab files for the dfferent scenarios. An examplary file structure looks as follows: results = struct with fields mesh_description: {'x=x_EPSG3413(m)' 'y=y_EPSG3413(m)'}<br> inputs_description: {'friction coefficient k^2 (s/m)' 'bedrock (m)'}<br> data_description: {1x13 cell}<br> mesh: [1x1 struct]<br> inputs: [1x1 struct]<br> data: [1x87 struct]<br> model_description: {'output from ISMIP6 AWI-ISSM, simulation: G4000 ctrl_proj, correspondence Martin Rueckamp (AWI): marin.rueckamp@awi.de'}<br> data_citation: {'Rückamp, M., Goelzer, H., and Humbert, A.: Results of "Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM", Zenodo, https://doi.org/10.5281/zenodo.3992605, 2020.'}<br> model_citation: {'Rückamp, M., Goelzer, H., and Humbert, A.: Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the AWI contribution to ISMIP6-Greenland using ISSM, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-329, in review, 2020.'} The fields results.[mesh,input,data]_description contain header information. The field results.mesh contains [x,y]-coordinates of the grid. The field results.inputs contains time-independent quantities such as bedrock. The field results.data contains results of the transient simulations, such as ice thickness or surface velocity. The fields results.[model,data]_citation contain information about data citation.
DOI: 10.5281/zenodo.4061939
title: data set related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy

description: This record contains raw data related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy
DOI: 10.5281/zenodo.4061938
title: data set related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy

description: This record contains raw data related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy
DOI: 10.6084/m9.figshare.13034159
title: Mitochondrial Event Localiser - Stats data

description: Data used for comparison and stats produced by the mitochondrial event localiser in the revised manuscript
DOI: 10.17632/yvnfxxsw3f.1
title: NRM demagnetization steps

description: Magnetostratigraphy
DOI: 10.17632/95mr7pr8rj.8
title: Two Daily Weather Datasets: Chiang Mai International Airport and Theodore Francis Green State Airport

description: Two daily weather datasets for experimenting data-driven models on two different weather types: 1. Chiang Mai International Airport, Chiang Mai, Thailand from January 1st 1998 to July 31st 2019. The data were acquired from the station via personal communication. The following files are provided: - chiang_mai_1998-2019_raw.csv : the raw data. - chiang_mai_1998-2019.csv : the preprocessed data: the dates and redundant variables were removed, the missing data were imputed with MICE algorithm and all units were changed to SI units. 2. Theodore Francis Green State Airport, Providence, RI from January 1st 2006 to October 31st 2019. The data were acquired from the National Oceanic and Atmospheric Administration (https://www.ncdc.noaa.gov/cdo-web/datatools/lcd). The following files are provided: - providence_2006-2019_raw.csv : the raw data. - providence_2006-2019.csv : the preprocessed data: the dates were removed, the missing data were imputed with MICE algorithm and all units were changed to SI units. Additionally, we provide code in Python and shell scripts for reproducibility of the three autoencoder models in "Short-term Daily Precipitation Forecasting with Seasonally-Integrated Autoencoder". The code have the following requirements: - Python 3.6 or higher - Keras 2.2 or higher (Python library) - Tensorflow 1.x.y or where x.y is 12.0 or higher (Python library) The proposed model can be trained by simply running the following command: ./Providence.sh After the training is done, the RMSE and CORR scores will be reported, and the forecast values will be saved in `path/to/data_XXXXXX-xxxxxx.csv`. The README.md file provides additional information on code usage. #### Changing arguments You can modify the arguments in the script files. For example, `--model` and `horizon` let you specify the model and the forecast horizon, respectively. The descriptions of all available options can be accessed via the command: python3 main.py -h #### Running the script in different modes We have prepared the scripts for `prediction` mode and `evaluation` mode, namely `Providence_predict.sh` and `Providence_eval.sh`, as well as the pretrained weights for all three models in the `model` folder. To use these two modes, you need to specify the location of the pretrained weights using `--load` option. For example, the weights of SSAE that makes forecast over the next three days on Providence dataset are stored in `pvd_ssae_3.h5` --load model/pvd_ssae_3.h5 You also need to specify the test data. --test_data Data/data_name.csv REFERENCES: - Liu, L., Jiang, H., He, P., Chen, W., Liu, X., Gao, J., Han, J., 2019. On the variance of the adaptive learning rate and beyond. arXiv preprint arXiv:1908.03265. - Zaytar, M.A., Amrani, C.E., 2016. Sequence to sequence weather forecasting with long short-term memory recurrent neural networks. International Journal of Computer Applications 143, 7–11. doi:10.5120/ijca2016910497.
DOI: 10.17632/ny4pkkzvh4.1
title: Data for: Unified chromatography - mass spectrometry as a versatile tool for determination of food dyes

description: The complete dataset presents all validation parameters of the developed chromatographic method assessed in two matrices (sports drinks) under 10x and 25x dilution.
DOI: 10.17632/c2gnd2ck26.1
title: Solid State Microwave Fabrication of Fe3O4-Reduced Graphene Oxide Nanocomposites

description: Nanoparticle functionalized 2D material networks are promising for a wide range of applications from energy storage to catalysis to separations. in-situ formation of nanoparticles on 2D material networks is commonly limited by rapid particle growth that leads to low particle density and low surface area. Here we demonstrate that synthesis using microwaves yields high density of small and dispersed iron oxide nanoparticles on reduced graphene oxide (rGO) networks. The localized rapid heating of rGO by the microwaves promotes the thermal decomposition of low-cost iron nitrate and generation of iron oxide nanoparticles, but the short heating time and rapid cooling on cessation of microwaves minimize crystal growth for a high density of small Fe3O4 nanoparticles on rGO. In comparison to analogous nanocomposites fabricated by thermal decomposition in a furnace, the microwave processed Fe3O4-rGO composites exhibited higher surface area, smaller average nanoparticle size, and a narrower particle size distribution. When employed in aqueous supercapacitors, much higher initial capacitance (up to 1530 F/g vs. 451 F/g @0.5A/g) and an order of magnitude lower charge transfer resistance is obtained for the microwave synthesized materials. However, these small Fe3O4 nanoparticles supported on rGO tend to be unstable during electrochemical cycling in aqueous supercapacitors with reduction in the electrochemical performance directly correlated with the growth of the Fe3O4 nanoparticles. Through tuning the microwave conditions, a balance between capacitance (692 F/g) and cycling retention (89.7% @500th cycle) can be achieved with an intermediate microwave reaction time (40 s). These results illustrate the ability to fabricate small nanoparticles on 2D materials through rapid localized heating using microwaves in the solid state with tunable size through the microwave process conditions.
DOI: 10.17632/s7pv9d867h.1
title: Inter-annual variability of atmospheric gravity waves in the Martian thermosphere: effects of the 2018 planet encircling dust event

description: The data shown here correspond to the figures used in the article "Inter-annual variability of atmospheric gravity waves in the Martian thermosphere: effects of the 2018 planet encircling dust event" by Leelavathi et al., JGR-Planets, 2020.
DOI: 10.5281/zenodo.4061949
title: data set related to article Visual assessment in Down Syndrome: The relevance of early visual functions

description: This record contains raw data related to article Visual assessment in Down Syndrome: The relevance of early visual functions
DOI: 10.5281/zenodo.4061948
title: data set related to article Visual assessment in Down Syndrome: The relevance of early visual functions

description: This record contains raw data related to article Visual assessment in Down Syndrome: The relevance of early visual functions
DOI: 10.17632/88xyg9st7g.1
title: LINF_010006700

description: CLC- type chloride channel
DOI: 10.17632/69n24h6ydh.1
title: Demo for "Guided image filtering in shape from focus: A comparative analysis"

description: Demo code for the article: https://doi.org/10.1016/j.patcog.2020.107670
DOI: 10.17632/r4vkv6mg7z.1
title: LINF_010006600

description: hypothetical protein - conserved
DOI: 10.17632/byj9s9ccr2.1
title: LINF_010006500

description: LSM domain containing protein
DOI: 10.17632/77dz5skjbj.1
title: Package to perform the experimentation of "A Genetic Clustering Approach to Extract Data from HTML Tables"

description: This package provides the software and the data required to perform the experimentation that accompanies the following article: A Genetic Clustering Approach to Extract Data from HTML Tables By Patricia Jiménez, Juan C. Roldán, Rafael Corchuelo Submitted to Information Processing & Management
DOI: 10.17632/42kc23sjy9.1
title: Functionally distinct roles for TET-oxidized 5-methylcytosine bases in somatic reprogramming to pluripotency (Caldwell et al.)
DOI: 10.17632/wrcydst96z.1
title: Supplementary Tables and Sequence Alignment: Symmetric and asymmetric components of shape variation in the diatom genus Frustulia (Bacillariophyta)

description: Table S1: Size ranges of the strains under study and sizes of morphospecies from publications. Table S2: GenBank accession numbers. Table S3: Matrix of Mann–Whitney pairwise comparisons of all components of asymmetry. Table S4: Results from the analysis of trait evolution. A concatenated alignment based on four molecular markers.
DOI: 10.17632/f56bj94zgm.1
title: Expression and function of mechanosensitive ion channels in human valve interstitial cells. PLoS One 2020: doi:10.1371/journal.pone.0240532

description: Data for the paper published in PLoS One 2020: doi:10.1371/journal.pone.0240532 relating to the expression of mechanosensitive ion channels in aortic valve interstitial cells.
DOI: 10.17632/bndzy6b857.1
title: Dr EMILE Guilhem

description: 1. Appendix of the study protocol "Daily socket comfort in transtibial amputee with a vacuum-assisted suspension system: study protocol of a randomized, multicenter, double-blind multiple N-of-1 trial". 2. CENT 2015 checklist*; CONSORT 2010 checklist items with modifications or additions for individual or series of N-of-1 trials; empty items in the CENT 2015 column indicate no modification from the CONSORT 2010 item.
DOI: 10.17632/w4rnk5jgzr.2
title: Panel data OECD and BRICS power sector policy paper dataset - 1990-2019

description: This dataset contains the variables used in this power sector policy paper, expect CO2 emission intensity (IEA database) data due to IEA licensing agreement as the product was purchased from them. The dataset contains data on 34 OECD countries (while the analysis only included 34) and 5 BRICS countries, from 1990 - 2019. The power sector policy paper uses a time period from 2000-2018 (with some models running to 2019 using IEA estimates). The variables used in the analysis are: - CO2 emission intensity per KWh (Data not included due to copy right from IEA, 3 example data points included for refererence). - Emission trading system price, both national and with adjusted price by relative size for sub-national systems (Cross-referenced from several sources). - Feed-in tariffs for solar PV and wind (OECD.Stat database). - Public environmental R&D and patent data on climate change mitigation technologies related to (1) energy generation, transmission or distribution (OECD.Stat green growth database). - Industrial energy consumption (OECD.Stat database). - GDP per capita, Industry share of GDP, Residental electricity consumption (World bank indicators). - Installed renewable energy capacity (IRENA database).
DOI: 10.17632/ptghmhf32k.1
title: Structures of B. subtilis maturation RNases captured on 50S ribosome with pre-rRNAs. Oerum et al
DOI: 10.17632/gf9dxrcgj8.1
title: Pandemic-related Media exposure and acute stress: A moderated mediation model of intolerance of uncertainty and perceived social support

description: Media exposure to COVID-19 was positively correlated with IU (r = 0.17, p &lt; 0.001) and acute stress (r = 0.26, p &lt; 0.001). IU was positively correlated with acute stress (r = 0.35, p &lt; 0.001). However, PSS was negatively correlated with IU (r = -0.10, p &lt; 0.001) and acute stress (r = -0.24, p &lt; 0.001). Media exposure to COVID-19 was positively associated with IU (β = 0.17, t = 6.60, p &lt; 0.001), and IU was positively associated with acute stress (β = 0.32, t = 13.13, p &lt; 0.001). Moreover, when the mediator (IU) was included in the model, media exposure to COVID-19 was also positively associated with acute stress (β = 0.20, t = 8.43, p &lt; 0.001). This indicated that IU partially mediated the relationship between media exposure to COVID-19 and acute stress. The bootstrap results also indicated that the conditional indirect effect of media exposure to COVID-19 on acute stress through IU was significant (indirect effect = 0.05, SE = 0.01, 95% CI = [0.04, 0.07]). The mediation effect accounted for 21.38% of the total effect. The interaction between media exposure to COVID-19 and PSS had a significant predictive effect on acute stress (β = -0.08, t = -3.32, p &lt; 0.001), but not on IU (β = -0.02, t = -0.83, p &gt; 0.05). The interaction between IU and PSS had a significant predictive effect on acute stress (β = -0.07, t = -3.40, p &lt; 0.001). The results suggested that PSS moderated the relationships between media exposure to COVID-19 and acute stress, and between IU and acute stress.
DOI: 10.17632/tjw3zwntv6.2
title: Retina Identification Database (RIDB)

description: Retina Identification DataBase (RIDB) is comprised of Retinal Fundus Images captured using the TOPCON-TRC camera. The dataset contains 100 images with 1504 x 1000 resolution compressed in JPEG format, captured from 20 individuals ( five samples per person ) with no retinal disease. RIDB has been used for training and testing of a retinal recognition system. Retinal recognition is amongst the most accurate mechanisms of biometrics and is being used for person authentication and identification.
DOI: 10.17632/3zhx6kyytp.1
title: Helper scripts

description: Collection of Perl and R helper scripts for extracting and summarizing some fields from the Pepstats and Fuzzpro outputs. Both programs belong to the EMBOSS open source suite. 'When using these scripts, please cite Konstantina Karathanou, Michalis Lazaratos, Éva Bertalan, Malte Siemers, Krzysztof Buzar, Gebhard F.X. Schertler, Coral del Val, and Ana-Nicoleta Bondar (2020). A graph-based approach identifies dynamic H-bond communication networks in spike protein S of SARS-CoV-2'
DOI: 10.6084/m9.figshare.12640547
title: Supplementary Table 3. qRT-PCR results for the indicated microRNAs in tissue samples

description: qRT-PCR results for the indicated microRNAs in tissue samples (tumor versus normal tissues)
DOI: 10.6084/m9.figshare.12640547.v1
title: Supplementary Table 3. qRT-PCR results for the indicated microRNAs in tissue samples

description: qRT-PCR results for the indicated microRNAs in tissue samples (tumor versus normal tissues)
DOI: 10.5281/zenodo.4061959
title: data set related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis

description: This record contains raw data related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis
DOI: 10.5281/zenodo.4061958
title: data set related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis

description: This record contains raw data related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis
DOI: 10.5281/zenodo.4061962
title: data set related to article Parental perspectives on psychiatric comorbidity in preschoolers with autism spectrum disorders receiving publicly funded mental health services

description: This record contains raw data related to article Parental perspectives on psychiatric comorbidity in preschoolers with autism spectrum disorders receiving publicly funded mental health services
DOI: 10.5281/zenodo.4061961
title: data set related to article Parental perspectives on psychiatric comorbidity in preschoolers with autism spectrum disorders receiving publicly funded mental health services

description: This record contains raw data related to article Parental perspectives on psychiatric comorbidity in preschoolers with autism spectrum disorders receiving publicly funded mental health services
DOI: 10.5281/zenodo.4061967
title: data set related to article Clinical and electroencephalographic correlates of psychiatric features in children with frontal lobe epilepsy

description: This record contains raw data related to article Clinical and electroencephalographic correlates of psychiatric features in children with frontal lobe epilepsy
DOI: 10.5281/zenodo.4061970
title: Supporting data for 'CMOS-based cryogenic control of silicon quantum circuits'

description: Data supporting for paper 'CMOS-based cryogenic control of silicon quantum circuits'. Loading data requires using 'pickle' function. An example: import pickle<br> data = 'J_calibration_3'<br> f = open('/.../data', 'rb')<br> ds = pickle.load(f)<br> f.close()
DOI: 10.5281/zenodo.4061969
title: Supporting data for 'CMOS-based cryogenic control of silicon quantum circuits'

description: Data supporting for paper 'CMOS-based cryogenic control of silicon quantum circuits'. Loading data requires using 'pickle' function. An example: import pickle<br> data = 'J_calibration_3'<br> f = open('/.../data', 'rb')<br> ds = pickle.load(f)<br> f.close()
DOI: 10.6084/m9.figshare.12640565
title: Supplementary Table 7. Pathological and clinical characteristics of the patients.

description: Pathological and clinical characteristics of the patients. DFS, (disease free survival); OS, overall survival.
DOI: 10.5517/ccdc.csd.cc1zhnw0
title: CCDC 1832313: Experimental Crystal Structure Determination

description: Related Article: Christy P. George, Shridhar H. Thorat, Parth S. Shaligram, P. R. Suresha, Rajesh G. Gonnade|2020|CrystEngComm|22|6137|doi:10.1039/D0CE00353K
DOI: 10.5517/ccdc.csd.cc247qz3
title: CCDC 1973645: Experimental Crystal Structure Determination

description: Related Article: Ya-Fang Gao, Zhi-Xu Zhang, Tie Zhang, Chang-Yuan Su, Wan-Ying Zhang, Da-Wei Fu|2020|Mater. Chem. Front.|4|3003|doi:10.1039/D0QM00360C
DOI: 10.5517/ccdc.csd.cc247r16
title: CCDC 1973647: Experimental Crystal Structure Determination

description: Related Article: Ya-Fang Gao, Zhi-Xu Zhang, Tie Zhang, Chang-Yuan Su, Wan-Ying Zhang, Da-Wei Fu|2020|Mater. Chem. Front.|4|3003|doi:10.1039/D0QM00360C
DOI: 10.5517/ccdc.csd.cc24ls4p
title: CCDC 1984252: Experimental Crystal Structure Determination

description: Related Article: Christy P. George, Shridhar H. Thorat, Parth S. Shaligram, P. R. Suresha, Rajesh G. Gonnade|2020|CrystEngComm|22|6137|doi:10.1039/D0CE00353K
DOI: 10.5517/ccdc.csd.cc25b6mc
title: CCDC 2005812: Experimental Crystal Structure Determination

description: Related Article: Nicholas Birchall, Christoph M. Feil, Michael Gediga, Martin Nieger, Dietrich Gudat|2020|Chemical Science|11|9571|doi:10.1039/D0SC03773G
DOI: 10.5517/ccdc.csd.cc25b6pf
title: CCDC 2005814: Experimental Crystal Structure Determination

description: Related Article: Nicholas Birchall, Christoph M. Feil, Michael Gediga, Martin Nieger, Dietrich Gudat|2020|Chemical Science|11|9571|doi:10.1039/D0SC03773G
DOI: 10.5517/ccdc.csd.cc25b9vp
title: CCDC 2005912: Experimental Crystal Structure Determination

description: Related Article: V. V. Ghazaryan, T. N. Drebushchak, E. V. Boldyreva, A. M. Petrosyan|2020|Struct.Chem.|31|1919|doi:10.1007/s11224-020-01610-z
DOI: 10.5517/ccdc.csd.cc25b9wq
title: CCDC 2005913: Experimental Crystal Structure Determination

description: Related Article: V. V. Ghazaryan, T. N. Drebushchak, E. V. Boldyreva, A. M. Petrosyan|2020|Struct.Chem.|31|1919|doi:10.1007/s11224-020-01610-z
DOI: 10.6084/m9.figshare.12640550
title: Supplementary Table 4. qRT-PCR results for the indicated microRNAs in serum samples

description: qRT-PCR results for the indicated microRNAs in serum samples