cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7682205
title: Algae drive convergent bacterial community assembly at low dilution frequency

description: Supplemental data sets for the paper "Algae drive convergent bacterial community assembly at low dilution frequency"
DOI: 10.5281/zenodo.7682204
title: Algae drive convergent bacterial community assembly at low dilution frequency

description: Supplemental data sets for the paper "Algae drive convergent bacterial community assembly at low dilution frequency"
DOI: 10.5281/zenodo.7682144
title: Measurements of diurnal variations of subsurface water temperature in Lake Kinneret during the period (Sept. 6 – 9, 2015)

description: The datasets include in-situ 10-minute measurements of subsurface water temperature taken at a depth of 20 cm at a site A (32.82 <sup>o</sup>N; 35.60 <sup>o</sup>E) located near the center of Lake Kinneret, during the period (Sept. 6 – 9, 2015). Lake Kinneret is located in Israel. The Campbell 107-L temperature probe was used (specifications are available online at https://www.campbellsci.asia/107-l ). The datasets also include meteorological measurements taken at the same site, such as air temperature, relative humidity, wind speed, upwelling and downwelling longwave (4.5 to 42 µm) radiation. The above meteorological measurements were taken at a height of 2 - 3 m above the lake surface. Measurements at the site A are associated with the Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research (https://www.ocean.org.il ). <em>Data format: xlsx file. The file includes water temperature (WT, <sup>o</sup>C), wind speed (WS, m/s), air temperature (Tair, <sup>o</sup>C), relative humidity (RH, %), upwelling longwave radiation (Upwelling LW, W/m<sup>2</sup>) and downwelling longwave radiation (Downwelling LW, W/m<sup>2</sup>).</em>
DOI: 10.5281/zenodo.7682143
title: Measurements of diurnal variations of subsurface water temperature in Lake Kinneret during the period (Sept. 6 – 9, 2015)

description: The datasets include in-situ 10-minute measurements of subsurface water temperature taken at a depth of 20 cm at a site A (32.82 <sup>o</sup>N; 35.60 <sup>o</sup>E) located near the center of Lake Kinneret, during the period (Sept. 6 – 9, 2015). Lake Kinneret is located in Israel. The Campbell 107-L temperature probe was used (specifications are available online at https://www.campbellsci.asia/107-l ). The datasets also include meteorological measurements taken at the same site, such as air temperature, relative humidity, wind speed, upwelling and downwelling longwave (4.5 to 42 µm) radiation. The above meteorological measurements were taken at a height of 2 - 3 m above the lake surface. Measurements at the site A are associated with the Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research (https://www.ocean.org.il ). <em>Data format: xlsx file. The file includes water temperature (WT, <sup>o</sup>C), wind speed (WS, m/s), air temperature (Tair, <sup>o</sup>C), relative humidity (RH, %), upwelling longwave radiation (Upwelling LW, W/m<sup>2</sup>) and downwelling longwave radiation (Downwelling LW, W/m<sup>2</sup>).</em>
DOI: 10.6084/m9.figshare.22183834
title: EID2_organism_interactions_raw_2022.csv

description: EID2_organism_interactions_raw_2022.csv contains organism-organism (cargo-carrier) interactions extracted from the Enhanced Infectious Diseases Database - EID2 (https://eid2.liverpool.ac.uk/). For full description of EID2 please refer to: https://www.nature.com/articles/sdata20154. All interactions im this file are supported by one genetic sequence or 4 or more publicaitons and is structured as follows: 1. cargo: name of cargo organism (species, subspecies or lower rank). 2. cargoID: EID2 ID of the cargo 3. cargoTaxID: NCBI taxid for the cargo 4. cargoRank: the rank of the cargo 5. cargoCategory: the taxonomic classification of the cargo (e.g., bacteria, virus, etc.) 6. carrier: name of carrier organism (species, subspecies or lower rank) 7. carrierID: EID2 ID of the carrier 8. carrierTaxID: NCBI taxid for the carrier 9. carrierRank: the rank of the carrier 10. carrierCategory: the taxonomic classification of the carrier. 11. sequencesNo: Total number of nucleotide sequences supporting the interaction. 12. papersNo: Total number of publications supporting the interaction.
DOI: 10.6084/m9.figshare.22183834.v1
title: EID2_organism_interactions_raw_2022.csv

description: EID2_organism_interactions_raw_2022.csv contains organism-organism (cargo-carrier) interactions extracted from the Enhanced Infectious Diseases Database - EID2 (https://eid2.liverpool.ac.uk/). For full description of EID2 please refer to: https://www.nature.com/articles/sdata20154. All interactions im this file are supported by one genetic sequence or 4 or more publicaitons and is structured as follows: 1. cargo: name of cargo organism (species, subspecies or lower rank). 2. cargoID: EID2 ID of the cargo 3. cargoTaxID: NCBI taxid for the cargo 4. cargoRank: the rank of the cargo 5. cargoCategory: the taxonomic classification of the cargo (e.g., bacteria, virus, etc.) 6. carrier: name of carrier organism (species, subspecies or lower rank) 7. carrierID: EID2 ID of the carrier 8. carrierTaxID: NCBI taxid for the carrier 9. carrierRank: the rank of the carrier 10. carrierCategory: the taxonomic classification of the carrier. 11. sequencesNo: Total number of nucleotide sequences supporting the interaction. 12. papersNo: Total number of publications supporting the interaction.
DOI: 10.5517/ccdc.csd.cc2990vh
title: CCDC 2123836: Experimental Crystal Structure Determination

description: Related Article: Weiping Wu, Shuaixin Fan, Xuan Wu, Lili Fang, Jin Zhu|2023|J.Org.Chem.|88|1945|doi:10.1021/acs.joc.2c01934
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.cc2bmwf9
title: CCDC 2164061: Experimental Crystal Structure Determination

description: Related Article: Yingying Li, Ruijing Song, Juncheng Zhao, Yongchun Liu, Junying Zhao|2023|Polyhedron|234|116336|doi:10.1016/j.poly.2023.116336
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.cc2bwgh6
title: CCDC 2171348: Experimental Crystal Structure Determination

description: Related Article: Huijun Li, Xin Xu, Yonghui Liu, Yanan Hao, Zhouqing Xu|2023|J.Alloys Compd.|944|169138|doi:10.1016/j.jallcom.2023.169138
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.cc2byymw
title: CCDC 2173739: Experimental Crystal Structure Determination

description: Related Article: Nassima El Aouni, Claudia López Redondo, Md Bin Yeamin, Ali Aghmiz, Mar Reguero, Anna M. Masdeu-Bultó|2023|Mol.Catal.|538|112992|doi:10.1016/j.mcat.2023.112992
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.cc2byypy
title: CCDC 2173741: Experimental Crystal Structure Determination

description: Related Article: Nassima El Aouni, Claudia López Redondo, Md Bin Yeamin, Ali Aghmiz, Mar Reguero, Anna M. Masdeu-Bultó|2023|Mol.Catal.|538|112992|doi:10.1016/j.mcat.2023.112992
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.cc2c4db8
title: CCDC 2178969: Experimental Crystal Structure Determination

description: Related Article: Arpita Barma, Malay Chakraborty, Swapan Kumar Bhattacharya, Partha Roy|2023|Inorg.Chem.Commun.|150|110521|doi:10.1016/j.inoche.2023.110521
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.cc2c508v
title: CCDC 2179556: Experimental Crystal Structure Determination

description: Related Article: Dennis Grödler, Joseph M. Sperling, Brian M. Rotermund, Benjamin Scheibe, Nicholas B. Beck, Sanjay Mathur, Thomas E. Albrecht-Schönzart|2023|Inorg.Chem.|62|2513|doi:10.1021/acs.inorgchem.2c04338
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.cc2c509w
title: CCDC 2179557: Experimental Crystal Structure Determination

description: Related Article: Dennis Grödler, Joseph M. Sperling, Brian M. Rotermund, Benjamin Scheibe, Nicholas B. Beck, Sanjay Mathur, Thomas E. Albrecht-Schönzart|2023|Inorg.Chem.|62|2513|doi:10.1021/acs.inorgchem.2c04338
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.cc2c50bx
title: CCDC 2179558: Experimental Crystal Structure Determination

description: Related Article: Dennis Grödler, Joseph M. Sperling, Brian M. Rotermund, Benjamin Scheibe, Nicholas B. Beck, Sanjay Mathur, Thomas E. Albrecht-Schönzart|2023|Inorg.Chem.|62|2513|doi:10.1021/acs.inorgchem.2c04338
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.cc2cplh5
title: CCDC 2195497: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplj6
title: CCDC 2195498: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/5075932
title: Cristiano Ronaldo | All Club Goals
DOI: 10.6084/m9.figshare.22183453
title: Supplementary Table 1.docx

description: <em>MKRN3</em> and <em>DLK1</em> primers used for Sanger sequencing of genomic DNA from patients and their family members.
DOI: 10.6084/m9.figshare.22183453.v1
title: Supplementary Table 1.docx

description: <em>MKRN3</em> and <em>DLK1</em> primers used for Sanger sequencing of genomic DNA from patients and their family members.
DOI: 10.6084/m9.figshare.22183456
title: Supplementary Table 2.docx

description: Primers used for <em>MKRN3</em> mutagenesis. Single bold letters indicate base changes and insertions, and double bold letters indicate adjacent bases after deletions.
DOI: 10.6084/m9.figshare.22183456.v1
title: Supplementary Table 2.docx

description: Primers used for <em>MKRN3</em> mutagenesis. Single bold letters indicate base changes and insertions, and double bold letters indicate adjacent bases after deletions.
DOI: 10.21429/h69q-sx88
title: Spatial Data Layers for Ridge-to-Reef Governance Vulnerability Analysis in Palau

description: Data collected to assess potential impacts of sea level rise based on predictions from PIRCA (2020) report "Climate Change in Palau: Indicators and Considerations for Key Sectors"
DOI: 10.6078/m7vx0dnx
title: Presidio of San Francisco
DOI: 10.5519/qd.1ft7e20o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (516 records)
DOI: 10.5519/qd.7dckgc8i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (390 records)
DOI: 10.5281/zenodo.7682133
title: PXD036867

description: Hands-on training with Galaxy proteomics resources
DOI: 10.5281/zenodo.7682132
title: PXD036867

description: Hands-on training with Galaxy proteomics resources
DOI: 10.25345/c54f1mt8p
title: MassIVE MSV000091373 - Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease
title: Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we performed interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their biological relevance in CAD pathogenesis. The PPI networks contain many protein interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Furthermore, several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Finally, our networks identified 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. Together, our results indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
DOI: 10.6084/m9.figshare.21206669
title: Assemblies

description: Fasta files for te assemblies used in this study.
DOI: 10.6084/m9.figshare.21770576
title: Phylogenomics of _Paramikrocytos canceri

description: # Phylogenomics of _Paramikrocytos canceri_ In this repository, the files used for generating a tree of Rhizaria including _Paramikrocytos canceri_ can be found. The dataset is based on work by Schön et al. (2021) and references therein (full reference in our manuscript). <br> **1_unaligned_sequences**: contains amino acid sequences of Rhizaria plus outgroups in unaligned fasta format. Regions with dubious alignments in sequences from the outgroups were masked by Schön et al. (2021). **2_merged_alignments**: sequences from directory 1 were aligned using MAFFT v. 7.310, E-INS-I. Following alignment, sequences from the same species were merged using this script: https://github.com/markhilt/genome_analysis_tools/blob/master/merge_transcripts.py **3_gene_trees**: gene trees were constructed from the alignments in directory 2. For this purpose, IQ-TREE2 v. 2.2.0.3 was used, with ModelFinder to test the best-fit model for each alignment. **4_trimmed_alignments**: before concatenation of alignments for full phylogenomic analysis, alignments in directory 2 were trimmed with trimAl v. 1.2, using the -gappyout parameter. Trimmed alignments are found in this directory. <br>
DOI: 10.6084/m9.figshare.21770576.v1
title: Phylogenomics of _Paramikrocytos canceri

description: # Phylogenomics of _Paramikrocytos canceri_ In this repository, the files used for generating a tree of Rhizaria including _Paramikrocytos canceri_ can be found. The dataset is based on work by Schön et al. (2021) and references therein (full reference in our manuscript). <br> **1_unaligned_sequences**: contains amino acid sequences of Rhizaria plus outgroups in unaligned fasta format. Regions with dubious alignments in sequences from the outgroups were masked by Schön et al. (2021). **2_merged_alignments**: sequences from directory 1 were aligned using MAFFT v. 7.310, E-INS-I. Following alignment, sequences from the same species were merged using this script: https://github.com/markhilt/genome_analysis_tools/blob/master/merge_transcripts.py **3_gene_trees**: gene trees were constructed from the alignments in directory 2. For this purpose, IQ-TREE2 v. 2.2.0.3 was used, with ModelFinder to test the best-fit model for each alignment. **4_trimmed_alignments**: before concatenation of alignments for full phylogenomic analysis, alignments in directory 2 were trimmed with trimAl v. 1.2, using the -gappyout parameter. Trimmed alignments are found in this directory. <br>
DOI: 10.6084/m9.figshare.21206807
title: Phylogenies MRO genes

description: Phylogenies.
DOI: 10.6084/m9.figshare.21206807.v1
title: Phylogenies MRO genes

description: Phylogenies.
DOI: 10.34740/kaggle/ds/2947388
title: Pose Estimation with Domain Adaptation
DOI: 10.6084/m9.figshare.21802165
title: Acoustoelectric homogeneous simulation outputs

description: Acoustoelectric k-space simulation files for display with simulation viewing tool.
DOI: 10.6084/m9.figshare.21802165.v1
title: Acoustoelectric homogeneous simulation outputs

description: Acoustoelectric k-space simulation files for display with simulation viewing tool.
DOI: 10.6084/m9.figshare.22183945
title: Ciliate Lineage-Specific Gene Families

description: Multisequence codon alignments of inferred lineage-specific gene families from ciliates, an ancient clade of microeukaryotes. To encompass the diversity of ciliates, these data largely derive from single-cell transcriptomes and the limited number of available annotated whole genomes.
DOI: 10.6084/m9.figshare.22183945.v2
title: Ciliate Lineage-Specific Gene Families

description: Multisequence codon alignments of inferred lineage-specific gene families from ciliates, an ancient clade of microeukaryotes. To encompass the diversity of ciliates, these data largely derive from single-cell transcriptomes and the limited number of available annotated whole genomes.
DOI: 10.6084/m9.figshare.22183945.v1
title: Supplemental_Data.tar.gz

description: Multisequence codon alignments of inferred lineage-specific gene families from ciliates, an ancient clade of microeukaryotes. To encompass the diversity of ciliates, these data largely derive from single-cell transcriptomes and the limited number of available annotated whole genomes.
DOI: 10.6084/m9.figshare.21802171
title: Acoustoelectric frequency mixing in phantom

description: Data for Figure 3
DOI: 10.6084/m9.figshare.21802174
title: Acoustoelectric demodulation in phantom

description: acoustoelectric physics article
DOI: 10.6084/m9.figshare.21802183
title: Acoustoelectric 2D time evolution in phantom

description: Acoustoelectric experimental data figure 4
DOI: 10.6084/m9.figshare.22183951
title: Table.docx

description: These data are the datasets of the article named " Cases of and Motivations for Second Screen Use by Generation Z in Turkey" that I sent to cominicar.
DOI: 10.6084/m9.figshare.22183951.v1
title: Table.docx

description: These data are the datasets of the article named " Cases of and Motivations for Second Screen Use by Generation Z in Turkey" that I sent to cominicar.
DOI: 10.6073/pasta/d37d30559ea1d48a54bf54d8641f374c
title: Species richness and abundance of benthic infauna found in lagoons along the Beaufort Sea Coast, 2018-ongoing

description: Quantitative benthic invertebrate surveys can be used to characterize and compare benthic community structure of nearshore Arctic lagoon systems. The Beaufort Lagoon Ecosystems Long Term Ecological Research (BLE LTER) Core Program employs spatial sampling to compare benthic community structure among lagoon systems along the Alaskan Beaufort Sea coast and temporal sampling to track benthic community structure across the three major seasons of the Arctic (ice cover, break up, and open water). Ponar grabs, hollow-core drills (SIPRE corer), and 0.5 mm sieves are employed to quantitatively sample meiobenthic and macrobenthic communities during all three Arctic seasons. All invertebrate specimens are identified to the lowest taxonomic level possible, preserved in 100% ethanol, and enumerated. Wet weights in ethanol are also recorded.
DOI: 10.6084/m9.figshare.22183450
title: Discovery and Validation of Hsa-microRNA-3665 Promoter Methylation as a Potential Biomarker for the Prognosis of Esophageal Squamous Cell Carcinoma

description: Data of prognostic prediction model of esophageal squamous cell carcinoma based on hsa-miR-3565 promoter methylation level.
DOI: 10.6084/m9.figshare.22183450.v1
title: Discovery and Validation of Hsa-microRNA-3665 Promoter Methylation as a Potential Biomarker for the Prognosis of Esophageal Squamous Cell Carcinoma

description: Data of prognostic prediction model of esophageal squamous cell carcinoma based on hsa-miR-3565 promoter methylation level.
DOI: 10.23728/b2share.79905f4696814887a7d186643c30f962
title: Doñana National Park, Spain, Gross Primary Productivity 2020/2021

description: 15-day and 30-day Gross Primary Productivity (GPP) estimated across the wetlands of the Doñana National Park, Spain.
description: The GPP maps are based on an empirical model integrates and linearly correlate the Red-Edge Index (CLr) derived from Sentinel-2 images and in situ measurements of precipitation with in situ measurements of GPP. For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562
description: 15-day and 30-day maps for the months of October, November and December 2020 and January, February, March, April and May 2021.