cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8176201
title: Structural, electronic and mechanical properties of double core carbon nanothreads (Supplemental Files)

description: The structures shown here are examples of the double core nanothreads studied in the article entitled “Structural, electronic and mechanical properties of double core carbon nanothreads” published on Carbon (https://doi.org/10.1016/j.carbon.2023.118387) and authored by Caio M. Miliante, J. P. Dotto de Matos and André R. Muniz. These structures are shared with the ".cif" file format generated from the VESTA program (https://jp-minerals.org/vesta/en), which can also be used to visualize them.
DOI: 10.5281/zenodo.8383484
title: Physical oceanography during RV DONG FANG HONG 3 cruise NORC2022

description: In August 2022, a bottom lander was deployed for 20 days on the continental slope of the northern SCS to investigate the propagation of NLIWs and their impact on the variability of nepheloid layers. The deployment site of the lander was situated in the Dongsha Slope, which is located within the NLIW shoaling zone and has a water depth of 723 m. The displacement of the bottom lander was assessed using a separated pressure sensor that sampled at a frequency of 1 Hz. This lander was deployed on August 16 and successfully recovered on September 6.
DOI: 10.5281/zenodo.8383483
title: Physical oceanography during RV DONG FANG HONG 3 cruise NORC2022

description: In August 2022, a bottom lander was deployed for 20 days on the continental slope of the northern SCS to investigate the propagation of NLIWs and their impact on the variability of nepheloid layers. The deployment site of the lander was situated in the Dongsha Slope, which is located within the NLIW shoaling zone and has a water depth of 723 m. The displacement of the bottom lander was assessed using a separated pressure sensor that sampled at a frequency of 1 Hz. This lander was deployed on August 16 and successfully recovered on September 6.
DOI: 10.5281/zenodo.8335191
title: Urban Heat: Forward-Looking Climate Modeling for Nis, Serbia

description: We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for <strong>present-day</strong> The study domain focuses on Nis, Serbia. More details about the dataset: The dataset includes calculations for each indicator across the present period that refers to <strong>2001-2020</strong>. All indicators are available in both <strong>NetCDF</strong> and <strong>GeoTiff</strong> formats. The indicators are calculated at a resolution of <strong>150 m</strong>, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of <strong>30 m</strong>. The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection <strong>E</strong><strong>PSG 32634</strong>. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with <strong>EPSG 4326</strong> projection is included. All indicators are calculated as <strong>yearly averages</strong>. Some indicators also have additional calculations for <strong>seasonal averages</strong>, including Spring (MAM), Summer (JJA), Autumn (SON), and Winter (DJF). Images for <strong>quick viewing</strong> <strong>in</strong> <strong>png</strong> format visualizing the results for each indicator. Present denotes the period 2001-2020 The NetCDF and GeoTiff data can be found in the data.zip; The png files for quick viewing can be found in quickview.zip; more information about the dataset, including the methodology, all available data list, contact information, etc. will be added later on.
DOI: 10.5281/zenodo.8380733
title: Urban Heat: Forward-Looking Climate Modeling for Nis, Serbia

description: We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for <strong>present-day and future conditions</strong> under selected climate scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>). The study domain focuses on Nis, Serbia. More details about the dataset: The dataset includes calculations for each indicator across three scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>) and three twenty-year periods (<strong>2001-2020, 2021-2040, and 2041-2060</strong>). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios. All indicators are available in both <strong>NetCDF</strong> and <strong>GeoTiff</strong> formats. The indicators are calculated at a resolution of <strong>150 m</strong>, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of <strong>30 m</strong>. The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection <strong>E</strong><strong>PSG 32634</strong>. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with <strong>EPSG 4326</strong> projection is included. All indicators are calculated as <strong>yearly averages</strong>. Some indicators also have additional calculations for <strong>seasonal averages</strong>, including Spring (MAM), Summer (JJA), Autumn (SON), and Winter (DJF). Images for <strong>quick viewing</strong> <strong>in</strong> <strong>png</strong> format visualizing the results for each indicator. Present denotes the period 2001-2020; 2030 denotes the period 2021-2040; & 2050 denotes the period 2041-2060. The NetCDF and GeoTiff data can be found in the data.zip; The PNG files for quick viewing can be found in quickview.zip; more information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_Annex_Nis.docx
DOI: 10.34740/kaggle/dsv/6555085
title: Cricket World Cup Winners
DOI: 10.5281/zenodo.8383080
title: Urban Heat: Forward-Looking Climate Modeling for Nis, Serbia

description: We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for <strong>present-day and future conditions</strong> under selected climate scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>). The study domain focuses on Nis, Serbia. More details about the dataset: The dataset includes calculations for each indicator across three scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>) and three twenty-year periods (<strong>2001-2020, 2021-2040, and 2041-2060</strong>). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios. All indicators are available in both <strong>NetCDF</strong> and <strong>GeoTiff</strong> formats. The indicators are calculated at a resolution of <strong>150 m</strong>, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of <strong>30 m</strong>. The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection <strong>E</strong><strong>PSG 32634</strong>. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with <strong>EPSG 4326</strong> projection is included. All indicators are calculated as <strong>yearly averages</strong>. Some indicators also have additional calculations for <strong>seasonal averages</strong>, including Spring (MAM), Summer (JJA), Autumn (SON), and Winter (DJF). Images for <strong>quick viewing</strong> <strong>in</strong> <strong>png</strong> format visualizing the results for each indicator. Present denotes the period 2001-2020; 2030 denotes the period 2021-2040; & 2050 denotes the period 2041-2060. The NetCDF and GeoTiff data can be found in the data.zip; The PNG files for quick viewing can be found in quickview.zip; more information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_Annex_Nis.docx
DOI: 10.5281/zenodo.8335190
title: Urban Heat: Forward-Looking Climate Modeling for Nis, Serbia

description: We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for <strong>present-day and future conditions</strong> under selected climate scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>). The study domain focuses on Nis, Serbia. More details about the dataset: The dataset includes calculations for each indicator across three scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>) and three twenty-year periods (<strong>2001-2020, 2021-2040, and 2041-2060</strong>). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios. All indicators are available in both <strong>NetCDF</strong> and <strong>GeoTiff</strong> formats. The indicators are calculated at a resolution of <strong>150 m</strong>, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of <strong>30 m</strong>. The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection <strong>E</strong><strong>PSG 32634</strong>. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with <strong>EPSG 4326</strong> projection is included. All indicators are calculated as <strong>yearly averages</strong>. Some indicators also have additional calculations for <strong>seasonal averages</strong>, including Spring (MAM), Summer (JJA), Autumn (SON), and Winter (DJF). Images for <strong>quick viewing</strong> <strong>in</strong> <strong>png</strong> format visualizing the results for each indicator. Present denotes the period 2001-2020; 2030 denotes the period 2021-2040; & 2050 denotes the period 2041-2060. The NetCDF and GeoTiff data can be found in the data.zip; The PNG files for quick viewing can be found in quickview.zip; more information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_Annex_Nis.docx
DOI: 10.18112/openneuro.ds004746.v1.0.1
title: Paingen_placebo
DOI: 10.6084/m9.figshare.24080994
title: Supporting Data and Code for Corral-Lopez et al. manuscript: <b>Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation</b><b> </b><b>contexts in guppies</b>

description: Supporting Data and Code for Corral-Lopez et al. manuscript: <b>Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation</b><b> </b><b>contexts in guppies</b>The work is published in Nature Communications (2023)Authors:<br>Alberto Corral-Lopez*<sup>1,2,3,4</sup>, Alexander Kotrschal<sup>2,5</sup>, Alexander Szorkovszky<sup>6</sup>, Maddi Garate-Olaizola<sup>2,4</sup>, James Herbert-Read<sup>7,8</sup>, Wouter van der Bijl<sup>1</sup>, Maksym Romenskyy<sup>2,9</sup>, Hong-Li Zeng<sup>10</sup>, Severine Denise Buechel<sup>2,5</sup>, Ada Fontrodona-Eslava<sup>2,11</sup>, Kristiaan Pelckmans<sup>12</sup>, Judith E. Mank<sup>1</sup>, Niclas Kolm<sup>2</sup>*corresponding author: alberto.corral@ebc.uu.se<b>Affiliations</b>1 - Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada2 - Department of Zoology/Ethology, Stockholm University, Stockholm, Sweden.3 - Division of Biosciences, University College London, London, United Kingdom4 – Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden5- Behavioural Ecology, Wageningen University & Research, Wageningen, Netherlands.6 - RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway7 - Department of Zoology, University of Cambridge, Cambridge, UK.8 - Aquatic Ecology, Lund University, Lund, Sweden.9 - Department of Life Sciences, Imperial College London, London, UK.10 - School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China.11 - Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK12 - Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden.<br>
DOI: 10.6084/m9.figshare.24080994.v1
title: Supporting Data and Code for Corral-Lopez et al. manuscript: <b>Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation</b><b> </b><b>contexts in guppies</b>

description: Supporting Data and Code for Corral-Lopez et al. manuscript: <b>Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation</b><b> </b><b>contexts in guppies</b>The work is in press in Nature Communications (2023). Link pending publicationAuthors:<br>Alberto Corral-Lopez*<sup>1,2,3,4</sup>, Alexander Kotrschal<sup>2,5</sup>, Alexander Szorkovszky<sup>6</sup>, Maddi Garate-Olaizola<sup>2,4</sup>, James Herbert-Read<sup>7,8</sup>, Wouter van der Bijl<sup>1</sup>, Maksym Romenskyy<sup>9</sup>, Hong-Li Zeng<sup>10</sup>, Severine Denise Buechel<sup>2,5</sup>, Ada Fontrodona-Eslava<sup>2,11</sup>, Kristiaan Pelckmans<sup>12</sup>, Judith E. Mank<sup>1</sup>, Niclas Kolm<sup>2</sup>*corresponding author: alberto.corral@ebc.uu.se<b>Affiliations</b>1 - Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada2 - Department of Zoology/Ethology, Stockholm University, Stockholm, Sweden.3 - Division of Biosciences, University College London, London, United Kingdom4 – Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden5- Behavioural Ecology, Wageningen University & Research, Wageningen, Netherlands.6 - RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway7 - Department of Zoology, University of Cambridge, Cambridge, UK.8 - Aquatic Ecology, Lund University, Lund, Sweden.9 - Department of Life Sciences, Imperial College London, London, UK.10 - School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China.11 - Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK12 - Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden.<br>
DOI: 10.24417/bmdc.be:dataset:1919
title: PMPZ: Microbiological pollution in the Southern Bight of the North Sea 1970-1976

description: No abstract has been provided for this dataset.
DOI: 10.24417/bmdc.be:dataset:1922
title: PMPZ: Eutrophication data in the Southern Bight of the North Sea 1970-1976

description: No abstract has been provided for this dataset.
DOI: 10.24417/bmdc.be:dataset:1952
title: DUMP-Effects of dumping industrial waste by RVZ (DUMP)

description: No abstract has been provided for this dataset.
DOI: 10.24417/bmdc.be:dataset:1961
title: BAGGER-Bagger sediments data 2004-2015

description: No abstract has been provided for this dataset.
DOI: 10.24417/bmdc.be:dataset:1963
title: MMP_NS_RBINS-MUMM - North Sea Task Force Monitoring Master Plan for the North Sea Subregion 4

description: No abstract has been provided for this dataset.
DOI: 10.24417/bmdc.be:dataset:2500
title: R/V Belgica FerryBox AUMS data

description: Since 2011, the Belgica is equipped with an AUMS (Autonomous Underway Measurement System). In 2014, its AUMS became part of the EC ESFRI project ICOS. The AUMS (Autonomous Underway Measurement System) is inspired by similar systems deployed on various ships of opportunity in the framework of the European Union FerryBox project (www.ferrybox.org). The system enhances the existing continuous oceanographic measurements made by RV Belgica (salinity, temperature, fluorescence). In particular, the Belgica AUMS continuously measures important ecosystem parameters such as nitrate, ammonia, silicate, dissolved oxygen and CO2, turbidity, alkalinity and phytoplankton pigments. ICOS is a large-scale European infrastructure project that aims at providing harmonised high-precision data for advanced studies on the carbon cycle and the balance of greenhouse gases and any possible disruption of it. Specifically ICOS aims therefore at (i) the (long-term) monitoring and quantification of the concentrations of long-lived greenhouse gases, (ii) the study of their fluxes between the atmosphere, ocean and terrestrial ecosystems and their storage in ecosystems and (iii) the dissemination of that information to users. The RV Belgica is a class 2 ICOS station.
DOI: 10.24417/bmdc.be:dataset:2686
title: Biological Valuation Map of the Belgian Part of the North Sea

description: The biological valuation map (BVM) of the Belgian Part of the North Sea (BPNS) is a map describing the biological value of the seafloor from 1 to 5, 5 being very high, 4 high, 3 medium, 2 low, 1 very low. The classification is based on the overlap of several layers of information which includes an updated distribution map of the gravel beds, an habitat suitability map of Lanice conchilega, 5 habitat suitability maps of the 5 macrobenthic communities of the BPNS and a large dataset of macrobenthos, epibenthos and demersal fish samples (1994-2018).
DOI: 10.5517/ccdc.csd.cc25y7gv
title: CCDC 2024097: Experimental Crystal Structure Determination

description: Related Article: Irfan Shaikh, R.N. Jadeja, Rajesh Patel, Vishal Mevada, Vivek K. Gupta|2021|J.Mol.Struct.|1232|130051|doi:10.1016/j.molstruc.2021.130051
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25y7ds
title: CCDC 2024095: Experimental Crystal Structure Determination

description: Related Article: Irfan Shaikh, R.N. Jadeja, Rajesh Patel, Vishal Mevada, Vivek K. Gupta|2021|J.Mol.Struct.|1232|130051|doi:10.1016/j.molstruc.2021.130051
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25y7ft
title: CCDC 2024096: Experimental Crystal Structure Determination

description: Related Article: Irfan Shaikh, R.N. Jadeja, Rajesh Patel, Vishal Mevada, Vivek K. Gupta|2021|J.Mol.Struct.|1232|130051|doi:10.1016/j.molstruc.2021.130051
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/6555208
title: Moon Landings
DOI: 10.5281/zenodo.8383533
title: LDIC 2024 - List of References

description: List of references used for the conference paper "A Bibliometric Analysis of Literature on Emission inventories in Seaports: A Study of related Literature".
DOI: 10.5281/zenodo.8383532
title: LDIC 2024 - List of References

description: List of references used for the conference paper "A Bibliometric Analysis of Literature on Emission inventories in Seaports: A Study of related Literature".
DOI: 10.57745/gsq73y
title: README_forestPLOT_Fabas_2019.pdf

description: :unav
DOI: 10.57745/vtxcb5
title: forestPLOT_Fabas_2019.gpkg

description: :unav
DOI: 10.26275/2yv6-g6vh
title: Network dynamics of HFOs

description: Data from two patients at University of Michigan showing functional connectivity of HFOs between all intracranial channels.
DOI: 10.25345/c5348gs5c
title: MassIVE MSV000092979 - Epitope Mapping of CCHFV Nucleoprotein
title: Mapping the binding site of mAb-9D5 on CCHFV Nucleoprotein as part of a larger study describing NP as an important target of protective mAb in mice
DOI: 10.6084/m9.figshare.24205146
title: 缺血性脑卒中的预后因素

description: 众所周知，血栓切除术可以显着改善缺血性中风患者的预后。然而，血栓切除术后可能会出现脑出血、血管再闭塞和脑水肿等并发症，有限的治疗时间窗口挑战了治疗效果。因此，必须找到简单、方便、有效的临床指标，能够预测AIS的预后，指导临床决策，提高治疗效果。因此，必须找到简单、方便、有效的临床指标，能够预测AIS的预后，指导临床决策，提高治疗效果。
DOI: 10.25345/c5zc7s50d
title: MassIVE MSV000092980 - Cunjie_SLC3A2_Agilent6550_Fig2_S5
title: This dataset consists of 57 raw MS files acquired on Agilent 6550 iFunnel Q-TOF MS (Agilent Inc., Santa Clara, CA) mass spectrometer operated in data dependent acquisition (DDA) and target MS/MS mode. Code for variants with additional NXS/T sites: 255I WTseq: (N365, N381, N424, N506) 256G N273A (+1 site) 257A N273A; N355D (+2 sites) 258F N355D; N492D (+2 sites) 259J N273A; N355D; N492D (+3 sites) CJ1 D365N (-1 site) CJ2 D381N (-1 site) Cunjie Zhang did all the sample preparation, mass spectrometric acquisition and data analysis. The files are associated with a manuscript submitted for publication by Cunjie Zhang et al. SLC3A2 (4F2hc, CD98) is a single-pass transmembrane glycoprotein and acts as a disulfide-linked adaptor to the SLC7A5 and SLC7A11 exchangers which import essential amino acids and cystine while exporting Gln and Glu, respectively. Cancer cells often over-express SLC3A2, SLC7A5, SLC7A11 and the N-glycans branching, which support tumor progression by increasing mTOR signaling and mitigation of oxidative stress (ox-stress). Branched chain amino acids and mitigation of oxidative stress are also central to aging. Furthermore, the evolution of N-glycosylation sites on SLC3A adaptors and SLC7A transporters suggests a critical but poorly understood role for N-glycans. We have profiled the N-glycan structures at each site SLC3A2 (4F2hc, CD98) and analyzed their impact on trafficking, protein interactions, cellular AA balance and sensitivity to ox-stress. James W. Dennis is the corresponding author of the manuscript; James W. Dennis should be contacted for questions on this dataset DENNIS@lunenfeld.ca This submission is associated with: Figure 2 Figure S5 Table S1 Site-specific FLAG-SLC3A2 WTseq and variants Table S3: Site-specific FLAG-SLC3A2_GlcNAc-supplement
DOI: 10.14278/rodare.1107
title: LDOS/SNAP data for MALA: Aluminium at 298K and 933K

description: LDOS/SNAP data for MALA: Aluminium at 298K and 933K (liquid+solid). Code development was done jointly by the authors. The calculations have mainly been performed by:<br> DFT-MD snapshots / DFT calculations (LDOS data): N. A. Modine (at SNL) SNAP data generation: A. P. Thompson (at SNL) Neural network training: J. A. Ellis (ORNL, formerly SNL), G. A. Popoola (SNL), L. Fiedler (HZDR)
DOI: 10.26275/gfyl-lpxq
title: Michigan High Res EEG - Patient 18

description: Michigan High Res EEG database
description: Intracranial and scalp EEG for UMHS0018
DOI: 10.6084/m9.figshare.24129972
title: Data_for_surrogate

description: The training and validation data was used to develop and test machine leaarning surrogate model.
DOI: 10.6084/m9.figshare.24129972.v1
title: Data_for_surrogate

description: The training and validation data was used to develop and test machine leaarning surrogate model.
DOI: 10.5281/zenodo.7137764
title: Individual Biomarkers Absorbance for 2020 specimens

description: clean file for statistical analysis
DOI: 10.5281/zenodo.8383606
title: Individual Biomarkers Absorbance for 2020 specimens

description: clean file (with corrected proteins concentration from sept 2023) for statistical analysis
DOI: 10.5281/zenodo.7137763
title: Individual Biomarkers Absorbance for 2020 specimens

description: clean file (with corrected proteins concentration from sept 2023) for statistical analysis