cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6886768
title: Six Years of SiriusXM Now Playing Data

description: My Sirius XM now playing tracker has been running for six years without any major interruptions. I have gathered all of the data collected to date and am open sourcing the dataset for anyone to use. The tracker has been recording data for The Highway country and The Heat hip-hop stations. <strong>Dataset Details</strong> <strong>Total Entries</strong> The Heat Total: `643472` The Highway Total: `604861` <strong>Entry Date Ranges</strong> The Heat First: `Mon Jun 20 2016 18:49:38 (GMT)` The Heat Last: `Fri Jul 15 2022 18:08:38 (GMT)` The Highway First: `Tue Nov 29 2016 00:03:40 (GMT)` The Highway Last: `Fri Jul 15 2022 18:11:09 (GMT)` <strong>Fields</strong> artist -- Artist name title -- Song title start_time -- Song start timestamp in UNIX epoch (GMT) spotify -- Matched song spotify metadata (may be unavailable) spotify.artist -- Artist name spotify.title -- Song title spotify.url -- Spotify song URL spotify.uri -- Spotify song URI spotify.album -- Album title spotify.album_image -- Album image URL
DOI: 10.5281/zenodo.6886767
title: Six Years of SiriusXM Now Playing Data

description: My Sirius XM now playing tracker has been running for six years without any major interruptions. I have gathered all of the data collected to date and am open sourcing the dataset for anyone to use. The tracker has been recording data for The Highway country and The Heat hip-hop stations. <strong>Dataset Details</strong> <strong>Total Entries</strong> The Heat Total: `643472` The Highway Total: `604861` <strong>Entry Date Ranges</strong> The Heat First: `Mon Jun 20 2016 18:49:38 (GMT)` The Heat Last: `Fri Jul 15 2022 18:08:38 (GMT)` The Highway First: `Tue Nov 29 2016 00:03:40 (GMT)` The Highway Last: `Fri Jul 15 2022 18:11:09 (GMT)` <strong>Fields</strong> artist -- Artist name title -- Song title start_time -- Song start timestamp in UNIX epoch (GMT) spotify -- Matched song spotify metadata (may be unavailable) spotify.artist -- Artist name spotify.title -- Song title spotify.url -- Spotify song URL spotify.uri -- Spotify song URI spotify.album -- Album title spotify.album_image -- Album image URL
DOI: 10.5281/zenodo.6879091
title: Molecular dynamics simulation trajectories of HIV protein gp120 in complex with antibody VRC01 and 30 of its Ala mutants

description: This data set accompanies the publication by S. Conti, E. Lau, and V. Ovchinnikov entitled "On the rapid calculation of binding affinities for antigen and antibody design and affinity maturation simulations", to be published in the MDPI journal Antibodies. It contains molecular dynamics simulation trajectories of HIV protein gp120 in complex with antibody VRC01 and 30 of its Ala mutants, as described in the paper. The format of the trajectory files is CHARMM-compatible dcd. The files can be visualized with the program Visual Molecular Dynamics (VMD) (see paper by Humphrey et al. 1996, J. Molec. Graphics). The accompanying file "view" is a tcl-based script for VMD that can be executed in the Linux environment using: "vmd -e view", which will display the trajectory of the mutant specified by editing the first noncomment line of the script.<br>
DOI: 10.5281/zenodo.6879090
title: Molecular dynamics simulation trajectories of HIV protein gp120 in complex with antibody VRC01 and 30 of its Ala mutants

description: This data set accompanies the publication by S. Conti, E. Lau, and V. Ovchinnikov entitled "On the rapid calculation of binding affinities for antigen and antibody design and affinity maturation simulations", to be published in the MDPI journal Antibodies. It contains molecular dynamics simulation trajectories of HIV protein gp120 in complex with antibody VRC01 and 30 of its Ala mutants, as described in the paper. The format of the trajectory files is CHARMM-compatible dcd. The files can be visualized with the program Visual Molecular Dynamics (VMD) (see paper by Humphrey et al. 1996, J. Molec. Graphics). The accompanying file "view" is a tcl-based script for VMD that can be executed in the Linux environment using: "vmd -e view", which will display the trajectory of the mutant specified by editing the first noncomment line of the script.<br>
DOI: 10.6084/m9.figshare.20362389
title: ExtendedSI_Curran_2022.pdf

description: Extended Supplementary Information for 'A quantitative and spatial analysis of cell cycle regulators during the fission yeast cell cycle', Curran et al., 2022.
DOI: 10.6084/m9.figshare.20362389.v1
title: ExtendedSI_PNAS_Curran_2022.pdf

description: Extended Supplementary Information for 'A quantitative and spatial analysis of cell cycle regulators during the fission yeast cell cycle', Curran et al., 2022.
DOI: 10.34740/kaggle/dsv/3975194
title: AQI - Air Quality Index
DOI: 10.6084/m9.figshare.20362401
title: Species diversity and systematics of the <i>Leptodactylus melanonotus</i> group (Anura, Leptodactylidae): review of diagnostic traits and a new species from the Eastern Guiana Shield

description: The <i>Leptodactylus melanonotus</i> species group is an anuran clade widely distributed in the Neotropics. This clade harbours many species that are difficult to identify because of incomplete taxonomic knowledge, ambiguous species boundaries and distribution. Here we expand the understanding of species diversity of this <i>Leptodactylus</i> clade by analysing mtDNA sequences for over 600 individuals, delimiting Operational Taxonomic Units (OTUs), and updating species identifications and distributions by linking sequences to morphotypes and calls. Also, we review the morphological and acoustic traits traditionally used as diagnostic characters of species within this group. The DNA-based species delimitation analyses yielded 57 OTUs. Given that only 19 taxa are currently recognized as valid species, our results suggest the existence of many unnamed species within the <i>L. melanonotus</i> group. After reassessing morphological traits in the group, we concluded that the combined use of dorsolateral fold, upper lip stripe, and belly colouration is sufficiently informative for species identification in most cases, especially when associated with data on geographic distribution and habitat use. Regarding advertisement calls, the patterns of amplitude and frequency modulation, calling rate, and dominant frequency were also informative for species discrimination. Furthermore, we designate a neotype for <i>L. wagneri</i>, for which we also describe the advertisement call, and make comparisons with congeners of the <i>L. melanonotus</i> group, especially with the partially sympatric <i>L. leptodactyloides</i>. Lastly, we name and describe a new species endemic to the Eastern Guiana Shield. Patterns of distribution and habitat use in the <i>L. melanonotus</i> group revealed that sympatric occurrences are more commonly found among distantly related species, whereas allopatric occurrences correspond to closely related ones. Speciation between closely related species of the group seems to be related to ecological divergence (open vs. forest habitats) in parallel with clear morphological and acoustic differentiation. http://www.zoobank.org/urn:lsid:zoobank.org:pub:867A8EA9-A8F2-4FA4-8746-A0D9BB2E4286
DOI: 10.6084/m9.figshare.20362401.v1
title: Species diversity and systematics of the <i>Leptodactylus melanonotus</i> group (Anura, Leptodactylidae): review of diagnostic traits and a new species from the Eastern Guiana Shield

description: The <i>Leptodactylus melanonotus</i> species group is an anuran clade widely distributed in the Neotropics. This clade harbours many species that are difficult to identify because of incomplete taxonomic knowledge, ambiguous species boundaries and distribution. Here we expand the understanding of species diversity of this <i>Leptodactylus</i> clade by analysing mtDNA sequences for over 600 individuals, delimiting Operational Taxonomic Units (OTUs), and updating species identifications and distributions by linking sequences to morphotypes and calls. Also, we review the morphological and acoustic traits traditionally used as diagnostic characters of species within this group. The DNA-based species delimitation analyses yielded 57 OTUs. Given that only 19 taxa are currently recognized as valid species, our results suggest the existence of many unnamed species within the <i>L. melanonotus</i> group. After reassessing morphological traits in the group, we concluded that the combined use of dorsolateral fold, upper lip stripe, and belly colouration is sufficiently informative for species identification in most cases, especially when associated with data on geographic distribution and habitat use. Regarding advertisement calls, the patterns of amplitude and frequency modulation, calling rate, and dominant frequency were also informative for species discrimination. Furthermore, we designate a neotype for <i>L. wagneri</i>, for which we also describe the advertisement call, and make comparisons with congeners of the <i>L. melanonotus</i> group, especially with the partially sympatric <i>L. leptodactyloides</i>. Lastly, we name and describe a new species endemic to the Eastern Guiana Shield. Patterns of distribution and habitat use in the <i>L. melanonotus</i> group revealed that sympatric occurrences are more commonly found among distantly related species, whereas allopatric occurrences correspond to closely related ones. Speciation between closely related species of the group seems to be related to ecological divergence (open vs. forest habitats) in parallel with clear morphological and acoustic differentiation. http://www.zoobank.org/urn:lsid:zoobank.org:pub:867A8EA9-A8F2-4FA4-8746-A0D9BB2E4286
DOI: 10.21227/fgpq-8n23
title: Optimal design and yearly performance of solar greenhouses

description: The dataset contains the result of the multi-objective optimization for finding the optimal dimensions and orientation of three common types of greenhouses (Even-span, Modified arch, Quonset) for maximizing the solar radiation transmitted to the greenhouse in winter and minimizing it in summer. The even-span, modified arch, and Quonset files contain the multi-objective optimization results (Objective functions and design parameters) and the values of total solar fraction for a typical day in winter and summer for optimal greenhouses, three cultivated land areas are considered for each greenhouse. The Yearly results file contains the yearly performance of the optimal greenhouses for considered floor areas, a comparison based on the floor area size for yearly performance is also presented in this file. It should be noted that the data in each file is related to the figures in the published paper in IEEE Access Journal.
DOI: 10.17632/5x2nwhj6z7.1
title: Higher tacrolimus trough concentration and HEV genetic changes observed in kidney transplant recipients with chronic hepatitis E 22 04 22

description: Higher tacrolimus trough concentration and HEV genetic changes observed in kidney transplant recipients with chronic hepatitis E
DOI: 10.25493/18ed-ds3
title: Cortical intensity profiles sampled across BigBrain isocortex (v1.0)

description: BigBrain is a publicly available 3D model of the human brain at 20 micron isotropic resolution, reconstructed from 7404 histological tissue sections that have been stained for cell bodies. This dataset contains profiles of the staining intensities, sampled at surface positions across the complete isocortex, ranging from the pial surface to the gray/white matter boundary. Since BigBrain's staining is sensitive to cell bodies, profiles are an approximate local measure of cortical cell density.
DOI: 10.34740/kaggle/dsv/3975354
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.20362563.v1
title: De novo transcriptome assembly reveals characteristics of flower sex determination of Excoecaria agallocha

description: Figure S1. The length distribution of transcripts (a) and unigenes (b). The inserts show the frequency distribution of the transcript length (a) and of the unigene length (b). Figure S2. Pearson correlation between samples. Figure S3. The distribution of SSRs in <em>E. agallocha</em>. The insert shown the distribution of the total number of SSRs in mono-, di-, tri-, tetra-, penta- and hexa-nucleotide repeats. Figure S4. The overview of <em>E. agallocha</em> transcriptome assembly and the characteristics of the homology search of unigenes. (a) e-value distributions of the best BLAST hits for each unigene against the NR database. (b) similarity distribution of the best BLAST hits for each unigene against the NR database. (c) venn diagram showing the BLAST searches of the <em>E. agallocha</em> transcriptome against the five public databases. (d) species distribution of the best BLAST hit for each unigene against the NR database. Figure S5. Gene ontology distributions for the transcriptome of four samples in <em>E.</em> <em>agallocha</em>. Main functional categories of the transcriptome related to plant physiology of the biological process, cellular component, and molecular function. The abscissas show the number of unigenes, and one unigene may be associated with different GO terms. Figure S6. The KEGG pathway for the transcriptome of four samples in <em>E.</em> <em>agallocha</em>. The unigenes were divided into five clusters according to KEGG metabolism pathways, A: Cellular processes, B: Environmental information processing, C: Genetic information processing, D: Metabolism, E: Organismal systems. Figure S7. Expression pattern validation of 14 selected DEGs in the RNA-Seq analysis by qRT-PCR in <em>E. agallocha</em>. Table S1. Classification of MADS-box genes in<em> E. agallocha</em>. Table S2. The primer sequences of MADS-box genes by qRT-PCR analysis. Table S3. Overview of the sequencing data of <em>E. agallocha</em> transcriptome. Table S4. The summary of SSR in the total of unigenes. Table S5. KEGG annotation of nonredundant unigenes in <em>E. agallocha</em>. Table S6. KEGG annotation of DEGs of <em>E. agallocha</em> in Ea_ff vs Ea_mf (a), Ea_ff vs Ea_fL (b), Ea_mf vs Ea_mL (c) and Ea_fLvs Ea_mL (d) group.
DOI: 10.34740/kaggle/dsv/3975435
title: BBC News
DOI: 10.6084/m9.figshare.20362629
title: participants

description: Each participant's data. <br> "baseline" is the mean temperature during the baseline. "diff_base1" is the means of the temperature differences between baseline and the Phase1. "diff_base2" is the means of the temperature differences between baseline and the Phase2. "diff_12" is the means of the temperature differences between the Phase1 and Phase2. <br> "age" is the age in months. "sex" is 0 for female and 1 for male. "condition" is A for the no violation group, B for the participant who honestly reported that he had turned around, C for the non-exposure group, and D for the exposure group. The values in the phase1 column represent the number of frames at the time of transition to phase1, and the same for the phase2 column. The values in shame, sad, and happy column are corresponded to Facial expression scale. "video" is 0 for missing data due to machine malfunction, etc. and 1 for data available
DOI: 10.6084/m9.figshare.20362629.v1
title: participants

description: Each participant's data. <br> "baseline" is the mean temperature during the baseline. "diff_base1" is the means of the temperature differences between baseline and the Phase1. "diff_base2" is the means of the temperature differences between baseline and the Phase2. "diff_12" is the means of the temperature differences between the Phase1 and Phase2. <br> "age" is the age in months. "sex" is 0 for female and 1 for male. "condition" is A for the no violation group, B for the participant who honestly reported that he had turned around, C for the non-exposure group, and D for the exposure group. The values in the phase1 column represent the number of frames at the time of transition to phase1, and the same for the phase2 column. The values in shame, sad, and happy column are corresponded to Facial expression scale. "video" is 0 for missing data due to machine malfunction, etc. and 1 for data available
DOI: 10.6084/m9.figshare.20362611
title: behavior

description: Each participant's behavior data. <br> "condition" is A for the no violation group, C for the non-exposure group, and D for the exposure group. <br> BL, P1, and P2 means baseline, Phase1, and Phase2 respectively. <br> Initials are the behavior indicators. 0 = the behavior did not occur; 1 = the behavior did occur
DOI: 10.6084/m9.figshare.20362611.v1
title: behavior

description: Each participant's behavior data. <br> "condition" is A for the no violation group, C for the non-exposure group, and D for the exposure group. <br> BL, P1, and P2 means baseline, Phase1, and Phase2 respectively. <br> Initials are the behavior indicators. 0 = the behavior did not occur; 1 = the behavior did occur
DOI: 10.34740/kaggle/dsv/3975494
title: Our World in Data - COVID-19
DOI: 10.5517/ccdc.csd.cc28v9yd
title: CCDC 2110664: Experimental Crystal Structure Determination

description: Related Article: Soya Makino|2021|CSD Communication|||
description: Related Article: Soya Makino, Takashi Horiuchi, Takahiro Ishida, Natsuhiro Sano, Tatsuo Yajima, Hiromitsu Sogawa, Fumio Sanda|2022|Organometallics|41|1699|doi:10.1021/acs.organomet.2c00173
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.cc2911l0
title: CCDC 2116171: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lassalle, Julien Petit, Rosalyn L. Falconer, Valentin Hérault, Erwann Jeanneau, Chloé Thieuleux, Clément Camp|2022|Organometallics|41|1675|doi:10.1021/acs.organomet.2c00158
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.cc29x4v7
title: CCDC 2142219: Experimental Crystal Structure Determination

description: Related Article: Tae-woo Kwon, Bo Song, Kwan Woo Nam, J. Fraser Stoddart|2022|J.Am.Chem.Soc.|144|12595|doi:10.1021/jacs.2c00515
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.cc2b52f1
title: CCDC 2149832: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lassalle, Julien Petit, Rosalyn L. Falconer, Valentin Hérault, Erwann Jeanneau, Chloé Thieuleux, Clément Camp|2022|Organometallics|41|1675|doi:10.1021/acs.organomet.2c00158
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.cc2b52j4
title: CCDC 2149835: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lassalle, Julien Petit, Rosalyn L. Falconer, Valentin Hérault, Erwann Jeanneau, Chloé Thieuleux, Clément Camp|2022|Organometallics|41|1675|doi:10.1021/acs.organomet.2c00158
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.cc2b52k5
title: CCDC 2149836: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lassalle, Julien Petit, Rosalyn L. Falconer, Valentin Hérault, Erwann Jeanneau, Chloé Thieuleux, Clément Camp|2022|Organometallics|41|1675|doi:10.1021/acs.organomet.2c00158
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.cc2b52m7
title: CCDC 2149838: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lassalle, Julien Petit, Rosalyn L. Falconer, Valentin Hérault, Erwann Jeanneau, Chloé Thieuleux, Clément Camp|2022|Organometallics|41|1675|doi:10.1021/acs.organomet.2c00158
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: 10.25505/fiz.icsd.cc2bmp7x
title: CSD 2163869: Experimental Crystal Structure Determination

description: Related Article: Michael A. Quintero, Jiahong Shen, Craig C. Laing, Christopher Wolverton, Mercouri G. Kanatzidis|2022|J.Am.Chem.Soc.|144|12789|doi:10.1021/jacs.2c03501
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6888169
title: NENU-MPF dataset

description: The NENU-MPF dataset is a spatiotemporally continuous melt pond fraction (MPF) dataset of Arctic sea ice from 2000 to 2020 (from May 8 to September 24). It was generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) data using an artificial neural network and a statistical-based temporal filter. The NENU-MPF dataset was saved in a binary format (.img), which can be easily read by the ENVI software. The information about the data files can be found in the corresponding .hdr file. Name: yyyymmdd.img and yymmdd.hdr. yyyy stands for the year, mm stands for the month, and dd stands for the day. Samples: 608 Lines: 780 Bands = 1 Data type = Float Interleave = BSQ Projection: Polar Stereographic Projection Datum = WGS_84 Central_Meridian = -45.0 Standard_Parallel_1 = 70.0 Spatial resolution = 12.5 km.
DOI: 10.5281/zenodo.6882801
title: Supplementary data to 'acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset'

description: Supplemental results of our analysis
DOI: 10.5281/zenodo.6873380
title: Supplementary data to 'acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset'

description: Supplemental results of our analysis
DOI: 10.6084/m9.figshare.20362742
title: Additional file 9 of Chitosan nanoparticles improve physiological and biochemical responses of Salvia abrotanoides (Kar.) under drought stress

description: Additional file 9.
DOI: 10.6084/m9.figshare.20362742.v1
title: Additional file 9 of Chitosan nanoparticles improve physiological and biochemical responses of Salvia abrotanoides (Kar.) under drought stress

description: Additional file 9.
DOI: 10.34740/kaggle/dsv/3975663
title: Russian Invasion of Ukraine