cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4043929
title: Supplementary Information for "The Peculiar Case of the Hyperthermostable Pyrimidine Nucleoside Phosphorylase from Thermus thermophilus"

description: This is the external Supplementary Information for our publication "The Peculiar Case of the Hyperthermostable Pyrimidine Nucleoside Phosphorylase from <em>Thermus thermophilus</em>". The .pdf file contains the Supplementary Information: author contributions, experimental procedures and supplementary items. The .zip file contains the raw data and metadata for all items (supplementary and main text) and the calculations. The Python code used for spectral unmixing is available on this platform (10.5281/zenodo.3243376) and has been described in our previous publications (10.3390/mps2030060, 10.5281/zenodo.3333469, 10.1002/cbic.202000204, 10.5281/zenodo.3723806 ). Further applications of this method can be found in our recent article in <em>Adv. Synth. Catal.</em> (10.1002/adsc.201901230) and its supporting material (10.5281/zenodo.3568858).
DOI: 10.5258/soton/d1397
title: Dataset for 'Deflected Wake Interaction of Tandem Flapping Foils'

description: The dataset and python script within this file was used to form the figures 4 and 8 of the paper by Lagopoulos, N., Weymouth, G., & Ganapathisubramani, B. (2020). Deflected wake interaction of tandem flapping foils. Journal of Fluid Mechanics, 903, A9. doi:10.1017/jfm.2020.640. In addition, wake videos of the cases shown in figures 3 and 5 are included in GIF format.
DOI: 10.6084/m9.figshare.12988742.v1
title: FHB_Supplementary_Tables_S1-4

description: FHB disease data for Brazilian wheat populations<br>
DOI: 10.6084/m9.figshare.12988742
title: FHB_Supplementary_Tables_S1-4

description: FHB disease data for Brazilian wheat populations<br>
DOI: 10.5517/ccdc.csd.cc1170gr
title: CCDC 960053: Experimental Crystal Structure Determination

description: Related Article: Adelew Estifanos Filkale, Chandni Pathak|2020|New J.Chem.|44|15109|doi:10.1039/D0NJ00052C
DOI: 10.5517/ccdc.csd.cc13ygxf
title: CCDC 1041225: Experimental Crystal Structure Determination

description: Related Article: Nahide Gulsah Deniz, Cigdem Sayil, Duygu Akyüz, Atif Koca|2021|J.Mol.Struct.|1224|129145|doi:10.1016/j.molstruc.2020.129145
DOI: 10.5517/ccdc.csd.cc13ygyg
title: CCDC 1041226: Experimental Crystal Structure Determination

description: Related Article: Nahide Gulsah Deniz, Cigdem Sayil, Duygu Akyüz, Atif Koca|2021|J.Mol.Struct.|1224|129145|doi:10.1016/j.molstruc.2020.129145
DOI: 10.5517/ccdc.csd.cc11w7tz
title: CCDC 979501: Experimental Crystal Structure Determination

description: Related Article: Adelew Estifanos Filkale, Chandni Pathak|2020|New J.Chem.|44|15109|doi:10.1039/D0NJ00052C
DOI: 10.5517/ccdc.csd.cc1jskwr
title: CCDC 1423795: Experimental Crystal Structure Determination

description: Related Article: Lucia González, Sara Graus, Rosa M. Tejedor, Anjana Chanthapally, José Luis Serrano, Santiago Uriel|2020|CrystEngComm|22|6010|doi:10.1039/D0CE00832J
DOI: 10.5517/ccdc.csd.cc1jskxs
title: CCDC 1423796: Experimental Crystal Structure Determination

description: Related Article: Lucia González, Sara Graus, Rosa M. Tejedor, Anjana Chanthapally, José Luis Serrano, Santiago Uriel|2020|CrystEngComm|22|6010|doi:10.1039/D0CE00832J
DOI: 10.5517/ccdc.csd.cc1jskyt
title: CCDC 1423797: Experimental Crystal Structure Determination

description: Related Article: Lucia González, Sara Graus, Rosa M. Tejedor, Anjana Chanthapally, José Luis Serrano, Santiago Uriel|2020|CrystEngComm|22|6010|doi:10.1039/D0CE00832J
DOI: 10.5517/ccdc.csd.cc1jskzv
title: CCDC 1423798: Experimental Crystal Structure Determination

description: Related Article: Lucia González, Sara Graus, Rosa M. Tejedor, Anjana Chanthapally, José Luis Serrano, Santiago Uriel|2020|CrystEngComm|22|6010|doi:10.1039/D0CE00832J
DOI: 10.5517/ccdc.csd.cc1jsl0x
title: CCDC 1423799: Experimental Crystal Structure Determination

description: Related Article: Lucia González, Sara Graus, Rosa M. Tejedor, Anjana Chanthapally, José Luis Serrano, Santiago Uriel|2020|CrystEngComm|22|6010|doi:10.1039/D0CE00832J
DOI: 10.5517/ccdc.csd.cc1n2ttc
title: CCDC 1522063: Experimental Crystal Structure Determination

description: Related Article: Nataliya F. Lazareva, Irina V. Sterkhova, Alexander V. Vashchenko|2021|J.Mol.Struct.|1225|129130|doi:10.1016/j.molstruc.2020.129130
DOI: 10.5517/ccdc.csd.cc1n2tvd
title: CCDC 1522064: Experimental Crystal Structure Determination

description: Related Article: Nataliya F. Lazareva, Irina V. Sterkhova, Alexander V. Vashchenko|2021|J.Mol.Struct.|1225|129130|doi:10.1016/j.molstruc.2020.129130
DOI: 10.5517/ccdc.csd.cc1p28lm
title: CCDC 1551320: Experimental Crystal Structure Determination

description: Related Article: Abdullatif Bin Muhsinah, Abdulrhman Alsayari, H. Algarni, Saied M. Soliman, Nabila A. Kheder, Hazem A. Ghabbour, Yahya I. Asiri, Kumar Venkatesan, Yahia N. Mabkhot|2020|J.Sulfur Chem.|41|517|doi:10.1080/17415993.2020.1769096
DOI: 10.5517/ccdc.csd.cc1p6ht6
title: CCDC 1555388: Experimental Crystal Structure Determination

description: Related Article: Abdullatif Bin Muhsinah, Abdulrhman Alsayari, H. Algarni, Saied M. Soliman, Nabila A. Kheder, Hazem A. Ghabbour, Yahya I. Asiri, Kumar Venkatesan, Yahia N. Mabkhot|2020|J.Sulfur Chem.|41|517|doi:10.1080/17415993.2020.1769096
DOI: 10.5517/ccdc.csd.cc20r543
title: CCDC 1869304: Experimental Crystal Structure Determination

description: Related Article: Mahuya Banerjee, Milan Ghosh, Sabyasachi Ta, Subhasis Ghosh, Debasis Das|2020|New J.Chem.|44|15376|doi:10.1039/D0NJ03024D
DOI: 10.5258/soton/d1557
title: Dataset for: Aerofoil dipole noise due to flow separation and stall at a low Reynolds number

description: Dataset supporting: Turner, J.M. and Kim, J.W. (2020) Aerofoil dipole noise due to flow separation and stall at a low Reynolds number. International Journal of Heat and Fluid Flow. SI: 11th International Symposium on Turbulence and Shear Flow Phenomena – TSFP11.
DOI: 10.5517/ccdc.csd.cc216q66
title: CCDC 1883287: Experimental Crystal Structure Determination

description: Related Article: Janusz Szklarzewicz, Anna Jurowska, Maciej Hodorowicz, Grzegorz Kazek, Monika Głuch-Lutwin, Jacek Sapa, Monika Papież|2021|J.Mol.Struct.|1224|129205|doi:10.1016/j.molstruc.2020.129205
DOI: 10.5517/ccdc.csd.cc21kkfm
title: CCDC 1893710: Experimental Crystal Structure Determination

description: Related Article: Haiwen Wang, Liyun Liang, Zhirong Guo, Hui Peng, Shuang Qiao, Nemai Saha, Daqian Zhu, Wenbin Zeng, Yunyun Chen, Peng Huang, Shijun Wen|2020|iScience|23|101307|doi:10.1016/j.isci.2020.101307
DOI: 10.15139/s3/cyuebj
title: Aim 2 Stimuli

description: Aim 2 Stimuli
DOI: 10.5285/ae80bb3c-8aad-4bc7-e053-6c86abc0c7c9
title: WireWall project numerical wave overtopping volume estimates, for profiles in 1996 and 2017. Estimates are calculated at Crosby Hall Road Carpark (north of Liverpool UK) for joint wave and water level conditions that represent the return period curves in Liverpool Bay developed in 2011.

description: Numerical wave overtopping volume estimates from the BayonetGPE wave overtopping tool associated with the EurOtop (2018) manual and modelled wave and water level conditions at the toe of the structure transformed from nearshore national monitoring networks using the SWAN model. Mean, upper and lower 1st and 2nd standard deviation wave overtopping volumes are estimated by BayonetGPE (generated by HR Wallingford, October 2019) for the Hall Road Car Park, Crosby Beach survey profile (reference: 11A02250). The data are associated with joint wave and water level conditions at the Liverpool Bay Wave Buoy Location that form the 1 in 1 year to 1 in 200 year return period curves in a joint probability analysis for the North West Coastal Group delivered by Halcrow in 2011. These return period curves represent the conditions to design new coastal schemes and analyse event severity. The numerical estimates of overtopping were generated using: beach surveys (available from Channel Coastal Observatory) from 24th February 2017, 4th April 2017, 4th October 2017 and 1 September 1996; a laser scan of the sea wall collected 11th December 2013 (available from Sefton Council); Seazone bathymetry from 05/12/2014, originally collected by the UK Hydrographic Office at 1 arc second. The coastal conditions were transformed to the toe of the existing structure using the 3rd generation spectral wave model SWAN. The bottom friction was set to use bed ripples and a sediment size of 0.23 mm (the Median grain size, d50, for the upper beach at Crosby, KPAL 2010). BayonetGPE was then used to estimate the resulting overtopping discharges.
DOI: 10.15139/s3/khyu3j
title: Aim 3 Stimuli

description: Aim 3 Stimuli
DOI: 10.6084/m9.figshare.12988772
title: plot_mm9.rds

description: plot_mm9 for comparison
DOI: 10.6084/m9.figshare.12988772.v1
title: plot_mm9.rds

description: plot_mm9 for comparison
DOI: 10.34863/v0j5-8k82
title: Dataset: Direct determination of structural heterogeneity in metallic glasses using four-dimensional scanning transmission electron microscopy
DOI: 10.5066/p9shi3og
title: Georeferenced Maps of the Thickness of the Sparta Aquifer in MS, AR, and LA, 1961 to 1996

description: The Sparta aquifer is a primary source of groundwater in north-central Louisiana. In 2015, more than 60 million gallons per day were withdrawn from the Sparta aquifer, of which over 90 percent was used for public supply and industrial purposes (Collier, 2018). Concentrated withdrawals from the Sparta aquifer have caused regional water-level declines within the Sparta aquifer (McGee and Brantly, 2015). Widespread concern about the potential effects of declining water levels has brought forth many questions regarding the sustainability of the aquifer as well as continued saltwater intrusion. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf (LMG) Water Science Center created a digital dataset of the thickness of the Sparta Aquifer in Arkansas, Louisiana, and Mississippi, which was developed from two (USGS) reports. The thickness surfaces are from years of 1968 and 1996 that are a variety of thickness, piezometric, structure-contour, and altitude maps. Each surface was georeferenced to North American Datum 1983 and projected to USA Contiguous Albers Equal Conic projection. Once georeferenced, individual contour lines were digitized, and attributes were included for each thickness surface. Included for each report is a zipped folder containing the georeferenced surface and a shapefile that includes the digitized contour lines. The digital dataset of thickness surfaces provides the framework necessary to further investigate total volume of water and how it has changed through time within the Sparta aquifer. Reference: Collier, A.L., 2018, Withdrawals, in million gallons per day, by source type and water use category in the Parishes of Louisiana, 2014-2015: U.S. Geological Survey data release, https://doi.org/10.5066/F78051VM McGee, B.D., and Brantly, J.A., 2015, Potentiometric surface, 2012, and water-level differences, 2005?12, of the Sparta Aquifer in north-central Louisiana: U.S. Geological Survey Scientific Investigations Map 3313, 2 sheets, https://dx.doi.org/10.3133/sim3313 Maps included in this dataset: Brantly, J.A., Seanor, R.C., McCoy, K.L., 2002, Hydrogeology and potentiometric surface of the Sparta aquifer in northern Louisiana, October 1996: U.S. Geological Survey Water-Resources Investigations Report 02-4053, 3 sheets, https://doi.org/10.3133/wri024053 Payne, J.N., 1968, Hydrologic significance of the lithofacies of the Sparta Sand in Arkansas, Louisiana, Mississippi, and Texas: U.S. Geological Survey Professional Paper 569-A, 17 p., https://doi.org/10.3133/pp569A
DOI: 10.6084/m9.figshare.12987872
title: R0230_20181010a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12987872.v1
title: R0230_20181010a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4013812
title: The Varying Openness of Digital Open Science Tools

description: Dataset accompanying the paper submitted to F1000 entitled <strong>The Varying Openness of Digital Open Science Tools.</strong> Abstract of paper Digital tools that support Open Science practices play a key role in the seamless accumulation, archiving and dissemination of scholarly data, outcomes and conclusions. Despite their integration into Open Science practices, the providence and design of these digital tools are rarely explicitly scrutinized. This means that influential factors, such as the funding models of the parent organizations, their geographic location, and the dependency on digital infrastructures are rarely considered. Suggestions from literature and anecdotal evidence already draw attention to the impact of these factors, and raise the question of whether the Open Science ecosystem can realise the aspiration to become a truly “unlimited digital commons” in its current structure. In an online research approach, we compiled and analysed the geolocation, terms and conditions as well as funding models of 242 digital tools increasingly being used by researchers in various disciplines. Our findings indicate that design decisions and restrictions are biased towards researchers in North American and European scholarly communities. In order to make the future Open Science ecosystem inclusive and operable for researchers in all world regions including Africa, Latin America, Asia and Oceania, those should be actively included in design decision processes. Digital Open Science Tools carry the promise of enabling collaboration across disciplines, world regions and language groups through responsive design. We therefore encourage long term funding mechanisms and ethnically as well as culturally inclusive approaches serving local prerequisites and conditions to tool design and construction allowing a globally connected digital research infrastructure to evolve in a regionally balanced manner.
DOI: 10.6084/m9.figshare.12987926.v1
title: R0229_20181022a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12987926
title: R0229_20181022a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12988808
title: Assembled contigs of unknown Oncogenic infectious agent

description: The dataset contains the assembled contigs obtained from an unknown oncogenic infectious microbial agent.<br>
DOI: 10.6084/m9.figshare.12988808.v1
title: Assembled contigs of unknown Oncogenic infectious agent

description: The dataset contains the assembled contigs obtained from an unknown oncogenic infectious microbial agent.<br>
DOI: 10.25387/g3.12844358
title: Supplemental Material for Hartanto et al., 2020

description: Figure S1. Density distribution of the absolute eQTL effect, -log(p), and explained phenotypic variance (R2) for local and distant eQTLs.<br>Figure S2. The histogram of the number of distant eQTLs per marker location for the PD2 (A) and RP4 (B) hotspot.<br>Supplementary Table 1. Gene ontology enrichment for genes with distinctive expression patterns during seed germination.<br>Supplementary Table 2. Distant eQTL hotspots of the four seed germination stages<br>Supplementary Table 3. The mean rank and standard deviation of candidate genes as the most likely causal genes for the RP4 hotspot across different thresholds<br>Supplementary Table 4. The mean rank and standard deviation of candidate genes as the most likely causal genes for the PD2 hotspot across different thresholds.<br>Supplementary Table 5. The location and type of SNPs on candidate genes for the RP4 eQTL hotspot and MUM2.<br>Supplementary Table 6. The location and type of SNPs on candidate genes for the PD2 eQTL hotspot.<br>Supplementary Table 7. The list of genetic markers used for QTL mapping.<br>Supplementary Table 8. The genetic map of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 9. Gene expression levels of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 10. Phenotype measurements of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 11. Metabolite measurements of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 12. Differentially expressed genes between any of two consecutive stages.<br>Supplementary Table 13. The list of expression QTL.<br>Supplementary Table 14. The list of phenotype QTL.<br>Supplementary Table 15. The list of metabolite QTL.<br>
DOI: 10.25387/g3.12844358.v1
title: Supplemental Material for Hartanto et al., 2020

description: Figure S1. Density distribution of the absolute eQTL effect, -log(p), and explained phenotypic variance (R2) for local and distant eQTLs.<br>Figure S2. The histogram of the number of distant eQTLs per marker location for the PD2 (A) and RP4 (B) hotspot.<br>Supplementary Table 1. Gene ontology enrichment for genes with distinctive expression patterns during seed germination.<br>Supplementary Table 2. Distant eQTL hotspots of the four seed germination stages<br>Supplementary Table 3. The mean rank and standard deviation of candidate genes as the most likely causal genes for the RP4 hotspot across different thresholds<br>Supplementary Table 4. The mean rank and standard deviation of candidate genes as the most likely causal genes for the PD2 hotspot across different thresholds.<br>Supplementary Table 5. The location and type of SNPs on candidate genes for the RP4 eQTL hotspot and MUM2.<br>Supplementary Table 6. The location and type of SNPs on candidate genes for the PD2 eQTL hotspot.<br>Supplementary Table 7. The list of genetic markers used for QTL mapping.<br>Supplementary Table 8. The genetic map of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 9. Gene expression levels of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 10. Phenotype measurements of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 11. Metabolite measurements of Bay-0 x Sha parents and the RIL population. <br>Supplementary Table 12. Differentially expressed genes between any of two consecutive stages.<br>Supplementary Table 13. The list of expression QTL.<br>Supplementary Table 14. The list of phenotype QTL.<br>Supplementary Table 15. The list of metabolite QTL.<br>
DOI: 10.6084/m9.figshare.8016383
title: Datasets, Surveys, and Endline Report for Grandmothers as Change Agents in Sierra Leone

description: Baseline and Endline surveys, datasets, and Endline Report from the Grandmothers Inclusive Approach Project in Sierra Leone
DOI: 10.6084/m9.figshare.8016383.v1
title: Datasets and Questionnaires for Grandmothers as Change Agents in Sierra Leone

description: Baseline and Endline surveys and datasets from mothers and grandmothers from the Grandmothers as Change Agents Project in Sierra Leone
DOI: 10.18419/darus-862/100
title: case1_single_tracer_fracture_reference-00084.vtu

description: :unav
DOI: 10.18419/darus-862/101
title: case1_single_tracer_matrix_reference-00016.vtu

description: :unav
DOI: 10.18419/darus-862/102
title: case1_single_tracer_fracture_reference-00064.vtu

description: :unav
DOI: 10.18419/darus-862/103
title: case1_single_tracer_fracture_reference-00073.vtu

description: :unav
DOI: 10.18419/darus-862/104
title: case1_single_tracer_fracture_reference-00100.vtu

description: :unav
DOI: 10.18419/darus-862/105
title: case1_single_tracer_matrix_reference-00026.vtu

description: :unav
DOI: 10.18419/darus-862/106
title: case1_single_tracer_matrix_reference-00089.vtu

description: :unav
DOI: 10.18419/darus-862/107
title: case1_single_tracer_fracture_reference-00015.vtu

description: :unav
DOI: 10.18419/darus-862/108
title: case1_single_tracer_matrix_reference-00032.vtu

description: :unav
DOI: 10.18419/darus-862/109
title: case1_single_tracer_fracture_reference-00086.vtu

description: :unav
DOI: 10.18419/darus-862/110
title: case1_single_tracer_matrix_reference-00085.vtu

description: :unav
DOI: 10.18419/darus-862/112
title: case1_single_tracer_matrix_reference-00039.vtu

description: :unav
DOI: 10.18419/darus-862/113
title: case1_single_tracer_fracture_reference-00071.vtu

description: :unav
DOI: 10.18419/darus-862/114
title: case1_single_tracer_fracture_reference-00093.vtu

description: :unav
DOI: 10.18419/darus-862/115
title: case1_single_tracer_matrix_reference-00042.vtu

description: :unav
DOI: 10.18419/darus-862/116
title: case1_single_tracer_matrix_reference-00013.vtu

description: :unav
DOI: 10.18419/darus-862/117
title: case1_single_tracer_matrix_reference-00017.vtu

description: :unav
DOI: 10.18419/darus-862/118
title: case1_single_tracer_fracture_reference-00069.vtu

description: :unav
DOI: 10.18419/darus-862/119
title: case1_single_tracer_matrix_reference-00071.vtu

description: :unav
DOI: 10.18419/darus-862/120
title: case1_single_tracer_matrix_reference-00076.vtu

description: :unav
DOI: 10.18419/darus-862/121
title: case1_single_tracer_matrix_reference-00014.vtu

description: :unav
DOI: 10.18419/darus-862/122
title: case1_single_tracer_matrix_reference-00077.vtu

description: :unav
DOI: 10.18419/darus-862/123
title: case1_single_tracer_matrix_reference-00005.vtu

description: :unav
DOI: 10.18419/darus-862/124
title: case1_single_tracer_fracture_reference-00045.vtu

description: :unav
DOI: 10.18419/darus-862/125
title: case1_single_onep_fracture_reference.pvd

description: Reference solution for the pressure in the fracture. Computed with the mpfa scheme on the grid single_500k.msh contained in this dataset.
DOI: 10.18419/darus-862/126
title: case1_single_tracer_fracture_reference-00041.vtu

description: :unav
DOI: 10.18419/darus-862/127
title: case1_single_tracer_fracture_reference-00060.vtu

description: :unav
DOI: 10.18419/darus-862/128
title: case1_single_tracer_matrix_reference-00065.vtu

description: :unav
DOI: 10.18419/darus-862/129
title: case1_single_tracer_matrix_reference-00098.vtu

description: :unav
DOI: 10.18419/darus-862/130
title: case1_single_tracer_fracture_reference-00036.vtu

description: :unav
DOI: 10.18419/darus-862/131
title: case1_single_tracer_matrix_reference-00059.vtu

description: :unav
DOI: 10.18419/darus-862/132
title: case1_single_tracer_matrix_reference-00051.vtu

description: :unav
DOI: 10.18419/darus-862/133
title: case1_single_tracer_matrix_reference-00011.vtu

description: :unav
DOI: 10.18419/darus-862/134
title: case1_single_tracer_matrix_reference.pvd

description: Reference solution for the tracer concentration in the matrix. Computed with the mpfa scheme on the grid single_500k.msh contained in this dataset.
DOI: 10.18419/darus-862/135
title: case1_single_tracer_fracture_reference-00091.vtu

description: :unav