cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f3q8k
title: CCDC 2237898: Experimental Crystal Structure Determination

description: Related Article: Adrian A. Apostol, Robert Oestreich, Catalin Maxim, Cosmin Romanitan, Mihaela Badea, Christoph Janiak, Marius Andruh|2023|Cryst.Growth Des.|23|3740|doi:10.1021/acs.cgd.3c00130
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.cc2f3q9l
title: CCDC 2237899: Experimental Crystal Structure Determination

description: Related Article: Adrian A. Apostol, Robert Oestreich, Catalin Maxim, Cosmin Romanitan, Mihaela Badea, Christoph Janiak, Marius Andruh|2023|Cryst.Growth Des.|23|3740|doi:10.1021/acs.cgd.3c00130
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.cc2f3qbm
title: CCDC 2237900: Experimental Crystal Structure Determination

description: Related Article: Adrian A. Apostol, Robert Oestreich, Catalin Maxim, Cosmin Romanitan, Mihaela Badea, Christoph Janiak, Marius Andruh|2023|Cryst.Growth Des.|23|3740|doi:10.1021/acs.cgd.3c00130
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.cc27m0jf
title: CCDC 2073854: Experimental Crystal Structure Determination

description: Related Article: Dong-Fei Lu, Yu-Peng Han, Yayong Sun, Fei Wang, Jian Zhang|2023|Cryst.Growth Des.|23|3778|doi:10.1021/acs.cgd.3c00151
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.cc27vsxt
title: CCDC 2081337: Experimental Crystal Structure Determination

description: Related Article: Mengmeng Wang, Xixi Meng, Zongsu Han, Wei Shi, Peng Cheng|2023|Cryst.Growth Des.|23|3651|doi:10.1021/acs.cgd.3c00105
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.cc27m0gc
title: CCDC 2073852: Experimental Crystal Structure Determination

description: Related Article: Dong-Fei Lu, Yu-Peng Han, Yayong Sun, Fei Wang, Jian Zhang|2023|Cryst.Growth Des.|23|3778|doi:10.1021/acs.cgd.3c00151
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.cc28cp0c
title: CCDC 2096592: Experimental Crystal Structure Determination

description: Related Article: Dong-Fei Lu, Yu-Peng Han, Yayong Sun, Fei Wang, Jian Zhang|2023|Cryst.Growth Des.|23|3778|doi:10.1021/acs.cgd.3c00151
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: 10.5281/zenodo.7878144
title: Power of Place - National - Environmental and social impact score datasets

description: Raster environmental and social datasets for Power of Place - National study as rasters for wind and solar PV. See technical slide deck on the Power of Place National website (The Nature Conservancy) for more details on how rasters were developed.
DOI: 10.5281/zenodo.7878143
title: Power of Place - National - Environmental and social impact score datasets

description: Raster environmental and social datasets for Power of Place - National study as rasters for wind and solar PV. See technical slide deck on the Power of Place National website (The Nature Conservancy) for more details on how rasters were developed.
DOI: 10.5519/qd.yujc4j3i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (55 records)
DOI: 10.26179/s37r-xs33
title: Southern Ocean pinnipeds provide bathymetric insights on the East Antarctic continental shelf
DOI: 10.34740/kaggle/dsv/5637984
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.7832767
title: Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study

description: Supplementary to "Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study"
DOI: 10.5281/zenodo.7832766
title: Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study

description: Supplementary to "Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study"
DOI: 10.6084/m9.figshare.22507396
title: Table S6

description: Table S6: KEGG Pathways enrichment on the differentially expressed genes (2-fold, FDR&lt;0.05) in HM6 cells.
DOI: 10.6084/m9.figshare.22507396.v1
title: Table S6

description: Table S6: KEGG Pathways enrichment on the differentially expressed genes (2-fold, FDR&lt;0.05) in HM6 cells.
DOI: 10.6084/m9.figshare.22783292
title: Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: A case study of natural secondary forest in Northeast China

description: Landsat 8 OLI imagery (path/row: 117/28) processed to L1T level was acquired on September 13, 2015 (LC81170282015256LGN01). The preprocessing of Landsat 8 OLI imagery data includes three steps: radiometric calibration, atmospheric correction and topographic correction. The Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercube (FLAASH) radiative transfer model was employed for atmospheric correction (Safari et al. 2017). The topographic correction was performed using the well-known Sun Canopy Sensor + C correction (SCS + C) approach provided by extension tool of “Topographic Correction V5.3 4 S1”.
DOI: 10.6084/m9.figshare.22783292.v2
title: Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: A case study of natural secondary forest in Northeast China

description: Landsat 8 OLI imagery (path/row: 117/28) processed to L1T level was acquired on September 13, 2015 (LC81170282015256LGN01). The preprocessing of Landsat 8 OLI imagery data includes three steps: radiometric calibration, atmospheric correction and topographic correction. The Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercube (FLAASH) radiative transfer model was employed for atmospheric correction (Safari et al. 2017). The topographic correction was performed using the well-known Sun Canopy Sensor + C correction (SCS + C) approach provided by extension tool of “Topographic Correction V5.3 4 S1”.
DOI: 10.6084/m9.figshare.22783292.v1
title: Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: A case study of natural secondary forest in Northeast China

description: Landsat 8 OLI imagery (path/row: 117/28) processed to L1T level was acquired on September 13, 2015 (LC81170282015256LGN01). The preprocessing of Landsat 8 OLI imagery data includes three steps: radiometric calibration, atmospheric correction and topographic correction. The Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercube (FLAASH) radiative transfer model was employed for atmospheric correction (Safari et al. 2017). The topographic correction was performed using the well-known Sun Canopy Sensor + C correction (SCS + C) approach provided by extension tool of “Topographic Correction V5.3 4 S1”. The reference data includes AGB of each sample plot and selected features from Landsat 8 OLI and airborne LiDAR data.
DOI: 10.5281/zenodo.7647745
title: Example Inputs for PIPEFISH Spatial Transcriptomics Pipeline Tool

description: This repository contains example input data, including raw images, codebooks, parameters, and segmentation labels needed to run the FISH spatial transcriptomics pipeline tool PIPEFISH. The datasets contained are: <em>in situ</em> sequencing (ISS) of a whole coronal slice of a mouse brain (50 genes). Link to publication. Gataric, M., Park, J.S., Li, T., Vaskivskyi, V., Svedlund, J., Strell, C., Roberts, K., Nilsson, M., Yates, L.R., Bayraktar, O. and Gerstung, M., 2021. PoSTcode: Probabilistic image-based spatial transcriptomics decoder. <em>bioRxiv</em>, pp.2021-10. MERFISH of human U2-OS cell cultures (130 genes). Link to publication. Moffitt, J.R., Hao, J., Wang, G., Chen, K.H., Babcock, H.P. and Zhuang, X., 2016. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. <em>Proceedings of the National Academy of Sciences</em>, <em>113</em>(39), pp.11046-11051. seqFISH of a developing mouse embryo (351 genes). Link to publication. Lohoff, T., Ghazanfar, S., Missarova, A., Koulena, N., Pierson, N., Griffiths, J.A., Bardot, E.S., Eng, C.H., Tyser, R.C.V., Argelaguet, R. and Guibentif, C., 2022. Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis. <em>Nature biotechnology</em>, <em>40</em>(1), pp.74-85. In order to correctly format the inputs, run the prep_input.py script for the dataset you wish to run while in the <strong>same</strong> <strong>directory</strong> as the script.
DOI: 10.5281/zenodo.7909295
title: Example Inputs for PIPEFISH Spatial Transcriptomics Pipeline Tool

description: This repository contains example input data, including raw images, codebooks, parameters, and segmentation labels needed to run the FISH spatial transcriptomics pipeline tool PIPEFISH. The datasets contained are: <em>in situ</em> sequencing (ISS) of a whole coronal slice of a mouse brain (50 genes). Link to publication. Gataric, M., Park, J.S., Li, T., Vaskivskyi, V., Svedlund, J., Strell, C., Roberts, K., Nilsson, M., Yates, L.R., Bayraktar, O. and Gerstung, M., 2021. PoSTcode: Probabilistic image-based spatial transcriptomics decoder. <em>bioRxiv</em>, pp.2021-10. MERFISH of human U2-OS cell cultures (130 genes). Link to publication. Moffitt, J.R., Hao, J., Wang, G., Chen, K.H., Babcock, H.P. and Zhuang, X., 2016. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. <em>Proceedings of the National Academy of Sciences</em>, <em>113</em>(39), pp.11046-11051. seqFISH of a developing mouse embryo (351 genes). Link to publication. Lohoff, T., Ghazanfar, S., Missarova, A., Koulena, N., Pierson, N., Griffiths, J.A., Bardot, E.S., Eng, C.H., Tyser, R.C.V., Argelaguet, R. and Guibentif, C., 2022. Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis. <em>Nature biotechnology</em>, <em>40</em>(1), pp.74-85. In order to correctly format the inputs, run the prep_input.py script for the dataset you wish to run while in the <strong>same</strong> <strong>directory</strong> as the script.
DOI: 10.57891/hikids-a-2019b-20
title: Hi-KIDS: A combined optical+HI 3D study of nearby dwarf and irregular galaxies

description: Dwarf galaxies provide fundamental clues about galaxy origin and evolution. Many of them have irregular shapes and have processed little their gas. Still, many dwarf galaxies are very gas-rich and are currently forming stars, sometimes in a spectacular way. With these new observations using the KOALA+AAOmega instruments at the AAT we are "dissecting"  dwarf galaxies to characterize the properties of the gas and the stars within them. Combining these data with radio observations (HI at 21 cm) of the diffuse gas within them we will get a better understanding of the local and global star-formation processes in galaxies, the feedback of the newborn stars, the importance of inflows and outflows of gas, and the chemical evolution of galaxies.
DOI: 10.6084/m9.figshare.22783319
title: <strong>Ventilatory Thresholds</strong>

description: <strong>BACKGROUND:</strong> The 6-minute rowing ergometer test (6-minRT) is valid and reliable for establishing maximal aerobic power (MAP) in amateur male rowers. However, ventilatory thresholds (VTs) have not yet been established with their mechanical correspondence in this test. <strong>OBJECTIVE:</strong> The primary objective was to determine the VTs in the 6-minRT achieved by amateur male rowers, while the secondary objective was to determine the correspondence between ventilatory, mechanical, and HR outcomes of the 6-minRT.
DOI: 10.6084/m9.figshare.22783319.v1
title: <strong>Ventilatory Thresholds</strong>

description: <strong>BACKGROUND:</strong> The 6-minute rowing ergometer test (6-minRT) is valid and reliable for establishing maximal aerobic power (MAP) in amateur male rowers. However, ventilatory thresholds (VTs) have not yet been established with their mechanical correspondence in this test. <strong>OBJECTIVE:</strong> The primary objective was to determine the VTs in the 6-minRT achieved by amateur male rowers, while the secondary objective was to determine the correspondence between ventilatory, mechanical, and HR outcomes of the 6-minRT.
DOI: 10.57891/devils-a-2017b-11
title: The Deep Extragalactic VIsible Legacy Survey (DEVILS)

description: DEVILS will measure positions and composition of 58,000 galaxies extending back 8billion years into the history of the Universe. Galaxies form through relatively simple and generic processes in the early Universe, but it is what happens to them following their formation (where they live, their interactions with other galaxies, how they form stars) that shapes them into the beautifully diverse structures that we observe today. We will measure all of these processes and how they change as the Universe evolves to build a complete picture of how galaxies develop from the simple systems that first formed into the impressive structures we see in the local Universe, like our own Milky Way.
DOI: 10.57891/galah-a-2019a-15
title: The GALAH Survey: Phase 2

description: The GALAH Survey is a large project investigating the history of the Milky Way's stars: when did they form, and how have they moved through the Galaxy since then? What are they made out of, and what new elements are they producing? We are answering these questions by collecting spectra for a million stars in the Milky Way, using the powerful HERMES spectrograph and the 2dF fibre positioner that allows us to observe 400 stars every hour. You can read more about the GALAH Survey at our website, galah-survey.org, or by following our Twitter account, @galahsurvey.
DOI: 10.5281/zenodo.6562845
title: LIPuS experiment data and code

description: This repos contains all the code and data to reproduce the experiments in ``Synergizing Reinforcement Learning and SMT Solving to Infer Loop Invariants''.
DOI: 10.5281/zenodo.6562846
title: LIPuS experiment data and code

description: This repos contains all the code and data to reproduce the experiments in ``Synergizing Reinforcement Learning and SMT Solving to Infer Loop Invariants''.
DOI: 10.5281/zenodo.7909722
title: LIPuS experiment data and code

description: This repos contains all the code and data to reproduce the experiments in ``Synergizing Reinforcement Learning and SMT Solving to Infer Loop Invariants''.
DOI: 10.5281/zenodo.7909725
title: LIPuS experiment data and code

description: This repos contains all the code and data to reproduce the experiments in ``Synergizing Reinforcement Learning and SMT Solving to Infer Loop Invariants''.
DOI: 10.5281/zenodo.7754187
title: EW Higgs + jets event samples at leading order QCD at 14 TeV

description: EW Higgs plus multi-jet event samples at parton level in HDF5 event format \(\sqrt{s}=14\,{\rm TeV}\) \(m_H=125\,{\rm GeV}\) \(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\) Generated with Sherpa using the attached setup files
description: This research was supported by the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program. This work was further partly funded by the Australian Research Council via Discovery Project DP170100708 and the Monash Graduate Scholarship, the Monash International Postgraduate Research Scholarship, and the J.L. William Scholarship.
DOI: 10.5281/zenodo.7754186
title: EW Higgs + jets event samples at leading order QCD at 14 TeV

description: EW Higgs plus multi-jet event samples at parton level in HDF5 event format \(\sqrt{s}=14\,{\rm TeV}\) \(m_H=125\,{\rm GeV}\) \(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\) Generated with Sherpa using the attached setup files
description: This research was supported by the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program. This work was further partly funded by the Australian Research Council via Discovery Project DP170100708 and the Monash Graduate Scholarship, the Monash International Postgraduate Research Scholarship, and the J.L. William Scholarship.
DOI: 10.5281/zenodo.7754177
title: VBF Higgs + jets event samples at leading order QCD at 14 TeV

description: VBF Higgs plus multi-jet event samples at parton level in HDF5 event format \(\sqrt{s}=14\,{\rm TeV}\) \(m_H=125\,{\rm GeV}\) \(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\) Generated with Sherpa using the attached setup files
description: This research was supported by the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program. This work was further partly funded by the Australian Research Council via Discovery Project DP170100708 and the Monash Graduate Scholarship, the Monash International Postgraduate Research Scholarship, and the J.L. William Scholarship.
DOI: 10.5281/zenodo.7754176
title: VBF Higgs + jets event samples at leading order QCD at 14 TeV

description: VBF Higgs plus multi-jet event samples at parton level in HDF5 event format \(\sqrt{s}=14\,{\rm TeV}\) \(m_H=125\,{\rm GeV}\) \(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\) Generated with Sherpa using the attached setup files
description: This research was supported by the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program. This work was further partly funded by the Australian Research Council via Discovery Project DP170100708 and the Monash Graduate Scholarship, the Monash International Postgraduate Research Scholarship, and the J.L. William Scholarship.
DOI: 10.5063/f1tq600d
title: A list of reported prey items associated with federally list species in Central California, USA

description: The primary objective of this research was to compile scientific evidence for prey items that support endangered and listed animal species within the Central Drylands of California. There are a total of 305 listed species for California, and 48 are animal species. Better understanding on the reliance of these listed species not just on habitat and refuge functions that regions provide but on prey availability is critical.Within Central California, a total 16 listed vertebrate species that all rely on some extent to invertebrate prey items were compiled. A total of 635 unique prey items associated with the diet of these listed species were retrieved using a formal systematic review. These data have significant ecological and conservation value in deepening our understanding of key factors that support persistence locally within this region of California.
DOI: 10.25345/c5ks6jf3w
title: MassIVE MSV000091887 - A cross-species proteomic map reveals neoteny of human synapse development - Human main PFC dataset
title: The molecular mechanisms and evolutionary changes accompanying synapse development are still poorly understood. Here, we generated a cross-species proteomic map of synapse development in the human, macaque, and mouse neocortex. By tracking the changes of &gt;1,000 postsynaptic density (PSD) proteins from midgestation to adolescence, we found that PSD maturation in humans separates into three major phases that are dominated by distinct pathways. Cross-species comparisons reveal that the human PSD matures about two to three times slower than other species and contains higher levels of Rho guanine nucleotide exchange factors (RhoGEFs) in the perinatal period. Enhancement of the RhoGEF signaling in human neurons delays the morphological maturation of dendritic spines and functional maturation of synapses, potentially contributing to the neotenic traits of human brain development. In addition, PSD proteins can be divided into four modules that exert stage- and cell type-specific functions, possibly explaining their differential associations with cognitive functions and diseases. Together, our proteomic map of synapse development provides a blueprint for studying the molecular basis and evolutionary changes of synapse maturation.
DOI: 10.5281/zenodo.6893475
title: Vital contribution of methane to total carbon emissions from thermokarst lakes: Data

description: Main data for the related manuscript.
DOI: 10.5281/zenodo.6893476
title: Vital contribution of methane to total carbon emissions from thermokarst lakes: Data

description: Main data for the related manuscript.
DOI: 10.14457/nida.the.2018.111
title: Sexual signification erotic metonymy and myths in contemporary Thai music videos
DOI: 10.14457/nida.the.2018.112
title: มาตรการทางกฎหมายในการกำหนดกรอบวินัยการคลัง : ศึกษากรณีการบริหารหนี้สาธารณะ
DOI: 10.14457/nida.the.2018.113
title: The 2013-14 Thai political crisis as reflected in Thai political cartoons