cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/3hdv-dx41
title: Thermal Infrared Sea-Surface Effective-Emissivity (IRSSE) Model Version 2

description: Thermal infrared (IR) environmental satellite data assimilation and remote sensing of the surface and lower troposphere depend on accurate specification of the spectral surface emissivity within clear-sky forward calculations. Over ocean surfaces, accurate modeling of surface-leaving radiances over the sensor scanning swaths is complicated by a quasi-specular bidirectional reflectance distribution function (BRDF). Recent findings at the Joint Center for Satellite Data Assimilation (JCSDA) have also revealed significant zonally varying systematic biases (≈|0.5| K) on a global scale over cold ocean waters, these the result of temperature dependence in the thermal IR optical constants. This paper proposes practical solutions to these problems by modeling thermal IR “effective emissivity” in a manner that accounts for both surface emission and quasi-specular reflectance, along with temperature dependence, while meeting the latency and computational constraints of operational global data assimilation and retrieval systems. We overview the theoretical basis of the model and validate it against ship-based Marine Atmospheric Emitted Radiance Interferometer (MAERI) spectra obtained from cold and warm water ocean campaigns.
DOI: 10.6073/pasta/7bc9d89762cb02ad9dc98bdfb95abde2
title: WPE01 Assessing the value added of NEON for using machine learning to quantify vegetation mosaics and woody plant encroachment at Konza Prairie

description: Woody encroachment, or invasion of woody plants, is rapidly shifting tallgrass prairie into shrub and evergreen dominated ecosystems, mainly due to exclusion of fire. Tracking the pace and extent of woody encroachment is difficult because shrubs and small trees are much smaller than the coarse resolution (&gt;10m2) of common remote sensed images. However, the US government has been investing in finer resolution (&lt;2m2) remote sensing through USDA NAIP and the National Ecological Observatory Network (NEON), both of which cost multi-million dollars each year and contain different remote sensed products. We compared two methods of classification (random forests and support vector machines) with these two freely available remotely sensed aerial images to determine if and how much NEON adds to classification accuracy and determine which method of machine learning was more accurate. All models have very high overall classification accuracy (&gt;91%), with the NEON image a few percent more accurate than NAIP. The NEON image significantly relies on canopy height (LiDAR) to make classifications, but the importance of bands is more evenly distributed during NAIP classification. Lastly, accuracy for Eastern Red Cedar specifically is high with NEON (78-84%), compared to the relatively low classification accuracy using NAIP imagery (55-61%).
DOI: 10.6073/pasta/500605538621e56577c2a8b8b4f0e68f
title: Supplemental soil moisture and temperature data from the saddle catchment sensor network, 2019 - 2021.

description: Hand-held soil moisture measurements were taken at 8 of 16 soil moisture sensors within the sensor network at Niwot Ridge to supplement the continuous measurement system at these locations. The hand-held measurements occur much less frequently than the 10 min sensor data, but they are important in determining the spatial variability of soil moisture in the alpine.
DOI: 10.25673/101202
title: Permeation characteristics of hP2X7
DOI: 10.5517/ccdc.csd.cc2cz6vf
title: CCDC 2203785: Experimental Crystal Structure Determination

description: Related Article: Wei Liu, Xinli Wang, Renfu Li, Zexin Wang, Nannan Chen, Yongbo Wei, Yuqiu Ye, Hong Jiang, Lijun Xie|2023|J.Mol.Struct.|1279|134983|doi:10.1016/j.molstruc.2023.134983
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.cc2cz91q
title: CCDC 2203853: Experimental Crystal Structure Determination

description: Related Article: Bin-Yuan Hu, Yun-Li Zhao, Zhong-Shun Zhou, Yan-Yan Zhu, Xiao-Dong Luo|2023|Chem.Commun.|59|2271|doi:10.1039/D2CC07029D
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.cc2d1bf7
title: CCDC 2205818: Experimental Crystal Structure Determination

description: Related Article: Baoru Wang, Peng Liu, Yixiao Hu, Haili Zhao, Liyan Zheng, Qiue Cao|2023|Dalton Trans.|52|2309|doi:10.1039/D2DT03268F
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.cc2d2l58
title: CCDC 2207019: Experimental Crystal Structure Determination

description: Related Article: Ying Yang, Jianjuan Zhao, Xinyuan Zhang, Zhanggui Hu, Yicheng Wu|2023|CrystEngComm|25|1313|doi:10.1039/D2CE01299E
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.cc2b8x4p
title: CCDC 2153512: Experimental Crystal Structure Determination

description: Related Article: T. K. S. Fayaz, Vasanthi Palanisamy, Palash Sanphui, Vladimir Chernyshev|2023|CrystEngComm|25|1252|doi:10.1039/D2CE01283A
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.cc2cq4w4
title: CCDC 2196036: Experimental Crystal Structure Determination

description: Related Article: Protap Biswas, Abhishek Dutta, Parthasarathi Dastidar|2022|Cryst.Growth Des.|23|342|doi:10.1021/acs.cgd.2c01041
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.cc2cq4x5
title: CCDC 2196037: Experimental Crystal Structure Determination

description: Related Article: Protap Biswas, Abhishek Dutta, Parthasarathi Dastidar|2022|Cryst.Growth Des.|23|342|doi:10.1021/acs.cgd.2c01041
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.cc2cq4y6
title: CCDC 2196038: Experimental Crystal Structure Determination

description: Related Article: Protap Biswas, Abhishek Dutta, Parthasarathi Dastidar|2022|Cryst.Growth Des.|23|342|doi:10.1021/acs.cgd.2c01041
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.cc2d5hnr
title: CCDC 2209824: Experimental Crystal Structure Determination

description: Related Article: Swadhapriya Bhukta, Rana Chatterjee, Rambabu Dandela|2023|J.Mol.Struct.|1279|134995|doi:10.1016/j.molstruc.2023.134995
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.cc2d79zy
title: CCDC 2211570: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b00
title: CCDC 2211571: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b11
title: CCDC 2211572: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b22
title: CCDC 2211573: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b33
title: CCDC 2211574: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b44
title: CCDC 2211575: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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.cc2d7b55
title: CCDC 2211576: Experimental Crystal Structure Determination

description: Related Article: Hyeonglim Seo, Alysia J. Kohlbrand, Ryjul W. Stokes, Jeewon Chung, Seth M. Cohen|2023|Chem.Commun.|59|2283|doi:10.1039/D2CC06596G
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: 10.6073/pasta/d50b5ce1b668072ea309d759983acb36
title: SRP01 Sequential prairie restoration experiment at Konza Prairie

description: Annual aboveground net primary productivity (ANPP) from the Sequential Prairie Restoration Experiment at the Konza Prairie Long-Term Ecological Research site in Manhattan, KS USA. The data (SRP011) include ANPP from the first three years of restoration in each of three restoration sequences initiated in different years. Data correspond to subplot and whole-plot analyses. The Sequential Prairie Restoration Experiment is a block design with 4 subplots (labeled A - D) within 4 main plots (numbered 1 - 4) sequentially replicated in three blocks (Sequences 1, 2 and 3), with the restoration in each block initiated in a different year (Sequence 1 initiated in 2010, Sequence 2 initiated in 2012, and Sequence 3 initiated in 2014). 'NO-COLL' indicates that variable was not measured, A period in the dataset indicates missing data. Plant species composition data include plant composition from the first two sequences (Sequence I restored in 2010 and Sequence II restored in 2012) in all years from 2010 to 2020 (SRP012); and from the first four sequences (I to IV restored every other year from 2010 to 2016) for the first five growing seasons in each sequence (SRP013).
DOI: 10.34740/kaggle/dsv/5040202
title: Global Inflation Dataset - (1970~2022)
DOI: 10.6084/m9.figshare.3761562.v2504
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/ds/2919731
title: FIFA World Cup 1930-2022 All Match Dataset
DOI: 10.25345/c5x05xp1d
title: MassIVE MSV000091336 - Total and phosphoproteome analysis of effects of topoisomerase 1 and ATR inhibitors in small cell lung cancer nuclei
title: Total and phosphoproteome analysis of effects of topoisomerase 1 (SN-38) and ATR (M1774) inhibitors in small cell lung cancer. Experiments performed in nuclear extract. See MetaData for more information.
DOI: 10.25810/g7v9-nb56
title: The Compact Raman Lidar data of VORTEX-SE 2018 and TORUS 2019 campaigns

description: This data was generated the University of Colorado Compact Raman Lidar (CRL) system during The Verification of the Origins of Rotation in Tornadoes Experiment Southeast 2018 (VORTEX-SE 2018 or VSE18; March 10 to April 14, 2018) and The Targeted Observation by Radars and UAS of Supercells (TORUS; May 10 to June 16, 2019). 
 
The CRL data presented here is used in the paper ‘A Comparison of Convective Storm Inflow Moisture Variability Between the Great Plains and the Southeastern United States Using Multiplatform Field Campaign Observations’ submitted to the Journal of Atmospheric and Oceanic Technology. The Zip file that is available for download contains the CRL data itself, as well as relevant metadata and documentation.
DOI: 10.25345/c5s756v71
title: MassIVE MSV000091337 - Revealing proteome-wide heterogeneity of O-mycoloylation
title: Data corresponding to O-mycoloylated tryptic peptides, enriched via click chemistry tools.
DOI: 10.6073/pasta/2a90296073c27956328d2e6ac40bebce
title: RIV01 Stream water isotopes in wooded riparian areas and areas where canopy had been cut at Konza Prairie

description: The stream water samples are the same as collected for the NWC01 dataset. Water samples are frozen (-3 C) in sealed polyvinyl bottles until time of processing. These water samples are thawed, subsampled at 1 mL, and analyzed for delta18O and delta2H using a Picarro L2130-i isotopic water analyzer. Samples are corrected using in-house standards calibrated to the international standard, V-SMOW. The long-term precision for delta18O is 0.1 permil and for delta2H is 1 permil.
DOI: 10.5066/p9fix717
title: Veterinary antibiotic residues in surface runoff flowing through vegetative buffer strip plots located at the University of Missouri Bradford Research and Extension Center (Columbia, MO) in September 2020

description: Vegetative buffer strips have been demonstrated to effectively reduce loads of sediment, nutrients, and herbicides in surface runoff, but their effectiveness for reducing veterinary antibiotic loads in runoff has not been well documented. Surface runoff simulation where performed to determine the effectiveness of Vegetative buffer strips vegetation and width on surface runoff loads of the veterinary antibiotics sulfamethazine and lincomycin. The three datasets in this release document 1. physical and chemical soil properties for soil located on experimental vegetated buffer strip plots prior to surface runoff simulations; 2. Rainfall simulator performance data and antecedent soil water content data for all vegetated buffer strip plots during the surface runoff simulations; and 3. Surface water hydrology data collected for determining veterinary antibiotic residue load concentrations and suspended sediment load concentrations in all vegetated buffer strip plots during rainfall simulations.
DOI: 10.6073/pasta/a5854837c409e10cfdaff0302d6d3e68
title: RIV02 Plant transect data for the N2B experiment at Konza Prairie

description: Woody plant expansion is well-known to alter plant community composition, often including a decrease in plant biodiversity, such as species richness. This dataset was used to determine if plant communities are able to “bounce back” after repeated woody plant removal, returning to plant community more similar to tallgrass prairie without woody plant encroachment. Woody plant encroachment can affect plant communities in two key ways: increasing competition for light and limiting grassland propagules (if woody encroachment is widespread). Therefore, we also included a treatment in the riparian removal where seeds of native prairie plants were added to reduce propagule limitation. This data suggests that despite repeated tree removal, the plant community has not returned to a grassland state. Instead, shrubs and herbaceous woodland plants are dominant. Adding grassland propagules had no discernable impact.
DOI: 10.5066/p9idmyxv
title: Data related to great diversity of KSalpha genes from bat skin external microbiota, from Arizona and New Mexico, indicate novel PKSII biosynthetic gene clusters

description: We documented the type two polyketide synthases(PKS II) gene diversity and novelty by sequencing KSalpha; genes known to synthesize bioactive small molecules. Sequences were derived from culturable bacteria isolated from bats in Arizona and New Mexico. We targeted the PKS II pathway which comprised a large proportion of the culture collection. Genomic analyses of a 16-member subset of bat bacterial isolates were additionally explored to document total BGC diversity and novelty of the bat microbiome. Data used for PKS II gene variant number per isolate by state were comprised of number of amino acid sequences per isolate (Num_seqs_per_isolate) by state, with related isolate identification (Isolate ID) and isolate number (ID #). Data used for PKS II gene variant number per isolate by species were comprised of number of amino acid sequences per isolate (Num_seqs_per_isolate) and species, with related isolate identification number. In our effort to determine novelty of PKS II sequences, we compared experimental PKS II sequences to known and curated references sequences. In an effort to determine novelty of PKS II sequences to its taxonomic assignment, in general, we compared PKS II sequences to themselves. Data were used to create percent of bacterial isolates from bat skin with KSalpha; detected by location and bat species. Data were also used to describe the bat microflora from which KSalpha; sequences were isolated. Data in the form of genomic assembly statistics and biosynthetic capacity analysis of 16 Actinobacteria isolates from bats were used. Data were used to indicate the presence or absence of the KSalpha; gene in isolates. All of these data were regarded as supplemental. Data were also used to describe the bat microflora from which KS&amp;amp;alpha; sequences were isolated. Data in the form of genomic assembly statistics and biosynthetic capacity analysis of 16 Actinobacteria isolates from bats were used. All of these data were regarded as supplemental.
DOI: 10.5517/ccdc.csd.cc2c3yq5
title: CCDC 2178547: Experimental Crystal Structure Determination

description: Related Article: Zhou Wu, Florian Weigend, Dieter Fenske, Tim Naumann, J. Michael Gottfried, Stefanie Dehnen|2023|J.Am.Chem.Soc.|145|3802|doi:10.1021/jacs.2c13523
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.cc2d7wtc
title: CCDC 2212123: Experimental Crystal Structure Determination

description: Related Article: Satyasree Rajendrakumar, Palani Sivanarayan, Sridhar Balasubramanian|2023|J.Mol.Struct.|1279|135019|doi:10.1016/j.molstruc.2023.135019
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.cc2d7wvd
title: CCDC 2212124: Experimental Crystal Structure Determination

description: Related Article: Satyasree Rajendrakumar, Palani Sivanarayan, Sridhar Balasubramanian|2023|J.Mol.Struct.|1279|135019|doi:10.1016/j.molstruc.2023.135019
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.