cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19826230
title: Empirical Likelihood and Uniform Convergence Rates for Dyadic Kernel Density Estimation

description: This article studies the asymptotic properties of and alternative inference methods for kernel density estimation (KDE) for dyadic data. We first establish uniform convergence rates for dyadic KDE. Second, we propose a modified jackknife empirical likelihood procedure for inference. The proposed test statistic is asymptotically pivotal regardless of presence of dyadic clustering. The results are further extended to cover the practically relevant case of incomplete dyadic data. Simulations show that this modified jackknife empirical likelihood-based inference procedure delivers precise coverage probabilities even with modest sample sizes and with incomplete dyadic data. Finally, we illustrate the method by studying airport congestion in the United States.
DOI: 10.6084/m9.figshare.19575820.v5
title: xxxx

description: xxxx
DOI: 10.6084/m9.figshare.19575820
title: xxxx

description: xxxx
DOI: 10.6084/m9.figshare.19575820.v4
title: Table_S4

description: The data for the number of chromosomal PPIs, plasmid-related PPIs, chromosomal genes and plasmid-encoded genes for 4,430 samples.
DOI: 10.6084/m9.figshare.19826230.v2
title: Empirical Likelihood and Uniform Convergence Rates for Dyadic Kernel Density Estimation

description: This article studies the asymptotic properties of and alternative inference methods for kernel density estimation (KDE) for dyadic data. We first establish uniform convergence rates for dyadic KDE. Second, we propose a modified jackknife empirical likelihood procedure for inference. The proposed test statistic is asymptotically pivotal regardless of presence of dyadic clustering. The results are further extended to cover the practically relevant case of incomplete dyadic data. Simulations show that this modified jackknife empirical likelihood-based inference procedure delivers precise coverage probabilities even with modest sample sizes and with incomplete dyadic data. Finally, we illustrate the method by studying airport congestion in the United States.
DOI: 10.6084/m9.figshare.19826230.v1
title: Empirical likelihood and uniform convergence rates for dyadic kernel density estimation

description: This paper studies the asymptotic properties of and alternative inference methods for kernel density estimation (KDE) for dyadic data. We first establish uniform convergence rates for dyadic KDE. Secondly, we propose a modified jackknife empirical likelihood procedure for inference. The proposed test statistic is asymptotically pivotal regardless of presence of dyadic clustering. The results are further extended to cover the practically relevant case of incomplete dyadic data. Simulations show that this modified jackknife empirical likelihood-based inference procedure delivers precise coverage probabilities even with modest sample sizes and with incomplete dyadic data. Finally, we illustrate the method by studying airport congestion in the United States.
DOI: 10.35077/toy
title: 191029_JH_HK0232_Fezf2LSLflp_VISa_parietal_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: DATASET METADATA: title:'191029_JH_HK0232_Fezf2LSLflp_VISa_parietal_male', GeneralModality:'connectivity', Technique:'anterograde tracing' SPECIMEN METADATA: LocalID:'191029_JH_HK0232_Fezf2LSLflp_VISa_parietal_male_processed', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'11', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'VISa' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.5281/zenodo.6797668
title: High-resolution (250 m) dataset for drought assessment in India

description: We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Igúzquiza et al., 2006), <br> and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.<br> The downscaled LST was then combined with EVI to evaluate various drought indices over India.
DOI: 10.5281/zenodo.6797667
title: High-resolution (250 m) dataset for drought assessment in India

description: We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Igúzquiza et al., 2006), <br> and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.<br> The downscaled LST was then combined with EVI to evaluate various drought indices over India.
DOI: 10.35077/try
title: 190110_JH_HK0082_PlexinLSLflp_MOs_RFA_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: projection
description: DATASET METADATA: title:'190110_JH_HK0082_PlexinLSLflp_MOs_RFA_male', GeneralModality:'anatomy/morphology', Technique:'STPT' SPECIMEN METADATA: LocalID:'190110_JH_HK0082_PlexinLSLflp_MOs_RFA_male', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'6', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'VISp' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.5281/zenodo.6798388
title: Butastur indicus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6798387
title: Butastur indicus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6786351
title: Dataset for the study "Can Anthipatella wollastoni be detected in Multibeam Echo Sounder multi-detect data?"

description: Dataset for the study "Can Anthipatella wollastoni be detected in Multibeam Echo Sounder multi-detect data?", currently under review at Frontiers in Remote Sensing. The files include: Photos.zip: GoPro Photos with ground truthing of two ridges with the occurrence of Black Corals. Photos have been geo-located using the coordinates of the onboard Multibeam System and correcting a time offset. Refer to the paper for details. Sound velocities: Sound velocity casts using a Base-X shallow water profiler used to correct the multibeam echo sounder. MD_manual_edit: Shape file including the position of Multi-Detects after the manual cleaning. The MD point objects have been joined with information from the local bathymetry and slope. Note that associated intensity values are erroneous due to a bug in the recording MBES firmware. MBES: Includes Norbit s7k (version 3) raw files of the multibeam echo sounder data (Norbit iwbms-e, Serial number #12). Files in folders with "MD" were used for the Multi-Detect study. Files with "MFE" include multifrequency data. We failed to locate the black corals in multi-frequency backscatter data. Multi-detect data were recorded with a swath width of 100° split into 512 beams. The multifrequency data contains 190 and 370 kHz information. Spreading correction was set to 40, absorption set to 107 dB/km (calculated for the 390 kHz frequency with a mean water temperature of 16°C, a salinity of 35. Actual temperature according to diver information was 24°C at the surface, 23° until 50 m and 21° until 80 m). All offsets have been accounted for during the survey. The data is located using an RTK correction (refer to paper for further details).
DOI: 10.5281/zenodo.6786350
title: Dataset for the study "Can Anthipatella wollastoni be detected in Multibeam Echo Sounder multi-detect data?"

description: Dataset for the study "Can Anthipatella wollastoni be detected in Multibeam Echo Sounder multi-detect data?", currently under review at Frontiers in Remote Sensing. The files include: Photos.zip: GoPro Photos with ground truthing of two ridges with the occurrence of Black Corals. Photos have been geo-located using the coordinates of the onboard Multibeam System and correcting a time offset. Refer to the paper for details. Sound velocities: Sound velocity casts using a Base-X shallow water profiler used to correct the multibeam echo sounder. MD_manual_edit: Shape file including the position of Multi-Detects after the manual cleaning. The MD point objects have been joined with information from the local bathymetry and slope. Note that associated intensity values are erroneous due to a bug in the recording MBES firmware. MBES: Includes Norbit s7k (version 3) raw files of the multibeam echo sounder data (Norbit iwbms-e, Serial number #12). Files in folders with "MD" were used for the Multi-Detect study. Files with "MFE" include multifrequency data. We failed to locate the black corals in multi-frequency backscatter data. Multi-detect data were recorded with a swath width of 100° split into 512 beams. The multifrequency data contains 190 and 370 kHz information. Spreading correction was set to 40, absorption set to 107 dB/km (calculated for the 390 kHz frequency with a mean water temperature of 16°C, a salinity of 35. Actual temperature according to diver information was 24°C at the surface, 23° until 50 m and 21° until 80 m). All offsets have been accounted for during the survey. The data is located using an RTK correction (refer to paper for further details).
DOI: 10.6084/m9.figshare.19525708.v6
title: Table_S3_summary_bacteria_sample_features

description: <strong>Table S3</strong>. Key features of the bacterial samples. Fraction is the fraction of all genes that were plasmid-encoded. Plasmid_Plasmid_PPI is the number of PPIs exclusively between plasmid-encoded proteins. Plasmid_PPI is the number of PPIs between a chromosomal protein and a plasmid protein. Chrom_PPI is the number of PPIs between chromosomal proteins. PPIs is the total number of PPIs. CTri indicates the number of chromosomal protein trios. Loops indicates the number of indirect connections for chromosomal proteins. Ccs indicates the number of connected components for chromosomal proteins. CTri_all indicates the number of all protein trios. Loops_all indicates the number of indirect connections for all proteins. Ccs_all indicates the number of connected components for all proteins. APMNLE indicates the chromosomal proteins' aPMNLE (indirect connectivity). APMNLE_all indicates the aPMNLE for all proteins. DiffPMNLE stands for the % difference in aPMNLE when plasmid proteins are added to the chromosomal ones. Proteins_ccs_all is the number of connected components per protein for all proteins. Proteins_ccs_chrom is the number of connected components per protein for chromosomal proteins. Indirect_all is the number of indirect connections per protein for all proteins. indirect_chrom is the number of indirect connections per protein for chromosomal proteins.
DOI: 10.6084/m9.figshare.20230989
title: Non-invasive datasets.xlsx

description: 2D GCTOFMS instrumental analysis reults exported from LECO software to excel spreadsheet <br>
DOI: 10.6084/m9.figshare.20223645
title: Cadophora species from marine glaciers in the Qinghai-Tibet Plateau

description: DNA alignment sequences used in the construction of multi-gene phylogenetic trees in the study.
DOI: 10.6084/m9.figshare.20223645.v1
title: Cadophora species from marine glaciers in the Qinghai-Tibet Plateau

description: DNA alignment sequences used in the construction of multi-gene phylogenetic trees in the study.
DOI: 10.34740/kaggle/dsv/3905823
title: COVID Vaccination in World (updated daily)
DOI: 10.25810/s7n-vh24.29
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - May 2022
DOI: 10.5519/qd.ojrnynoe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10395 records)
DOI: 10.35077/tub
title: 181012_JH_XA0004_Fezf2LSLflp_AGT5_LMC_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: DATASET METADATA: title:'181012_JH_XA0004_Fezf2LSLflp_AGT5_LMC_male', GeneralModality:'connectivity', Technique:'anterograde tracing' SPECIMEN METADATA: LocalID:'181012_JH_XA0004_Fezf2LSLflp_AGT5_LMC_male', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'LMC' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.6073/pasta/aacb658c4a0d343c02e88f825bb32934
title: Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021

description: Note: Corrections were made to Particulate phosphorus values. See version 5 notes. Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2021. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon (DIC/DOC), inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP), particulate carbon, nitrogen and phsphorous (PC, PN, PP), cations (Ca, Mg, K, Na and Si) and anions (SO4, Cl).
DOI: 10.25810/8pez-h060.29
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5517/ccdc.csd.cc295pv1
title: CCDC 2120643: Experimental Crystal Structure Determination

description: Related Article: yuegang chen|2022|CSD Communication|||
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.cc295px3
title: CCDC 2120645: Experimental Crystal Structure Determination

description: Related Article: yuegang chen|2022|CSD Communication|||
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.cc295f86
title: CCDC 2120377: Experimental Crystal Structure Determination

description: Related Article: Zhou Tian|2022|CSD Communication|||
description: Related Article: Zhou Tian, Jing Jiang, Zhen-Hui Yan, Qing-Qing Luo, Gu Zhan, Wei Huang, Xiang Li, Bo Han|2022|Chem.Commun.|58|5363|doi:10.1039/D2CC00618A
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.cc2bcqbs
title: CCDC 2156215: Experimental Crystal Structure Determination

description: Related Article: Thomas Richmond, Min H. Kyaw|2022|CSD Communication|||
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.cc2bctxg
title: CCDC 2156326: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bctyh
title: CCDC 2156327: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bctzj
title: CCDC 2156328: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bcv0l
title: CCDC 2156329: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bcv2n
title: CCDC 2156331: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bcv3p
title: CCDC 2156332: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto|2022|CSD Communication|||
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.cc2bcwl6
title: CCDC 2156378: Experimental Crystal Structure Determination

description: Related Article: Yan Huang, Debiao Huo, Lianpeng Tong|2022|CSD Communication|||
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.cc2bcx8x
title: CCDC 2156399: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Titov, Arina     Y. Obydennik, Anna      V. Listratova, Tatiana   N. Borisova, Victor    B. Rybakov, Leonid    G. Voskressensky, Alexey    V. Varlamov|2022|CSD Communication|||
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.cc2bcy3s
title: CCDC 2156425: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bcy4t
title: CCDC 2156426: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bd00s
title: CCDC 2156484: Experimental Crystal Structure Determination

description: Related Article: Harri Sopo, Reijo Sillanpää|2022|CSD Communication|||
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.