cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1690602
title: Materials Data on Er4CdPt by Materials Project

description: Er4PtCd crystallizes in the cubic F-43m space group. The structure is three-dimensional. there are three inequivalent Er sites. In the first Er site, Er is bonded in a 3-coordinate geometry to three equivalent Pt and three equivalent Cd atoms. All Er–Pt bond lengths are 2.84 Å. All Er–Cd bond lengths are 3.39 Å. In the second Er site, Er is bonded in a distorted bent 150 degrees geometry to two equivalent Pt and two equivalent Cd atoms. Both Er–Pt bond lengths are 2.82 Å. Both Er–Cd bond lengths are 3.49 Å. In the third Er site, Er is bonded in a 4-coordinate geometry to two equivalent Pt and two equivalent Cd atoms. Both Er–Pt bond lengths are 3.50 Å. Both Er–Cd bond lengths are 3.24 Å. Pt is bonded in a 6-coordinate geometry to nine Er atoms. Cd is bonded to nine Er and three equivalent Cd atoms to form a mixture of distorted face and corner-sharing CdEr9Cd3 cuboctahedra. All Cd–Cd bond lengths are 3.16 Å.
DOI: 10.17188/1690603
title: Materials Data on Ca2Ni2SF6 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1690605
title: Materials Data on Rb2TlSbBr6 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.5517/ccdc.csd.cc2fsqnm
title: CCDC 2258091: Experimental Crystal Structure Determination

description: Related Article: K.R. Soumya, Moon Kedia, Malaichamy Sathiyendiran|2023|J.Organomet.Chem.|995|122739|doi:10.1016/j.jorganchem.2023.122739
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.cc2bsfyj
title: CCDC 2168448: Experimental Crystal Structure Determination

description: Related Article: K.R. Soumya, Moon Kedia, Malaichamy Sathiyendiran|2023|J.Organomet.Chem.|995|122739|doi:10.1016/j.jorganchem.2023.122739
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.cc1m69qv
title: CCDC 1495617: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|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: 10.5519/qd.4boq4cby
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.6073/pasta/efec07ed03c2857ce2b6f2f2bd3b2b5e
title: Climate data for saddle catchment sensor network, 2017 - ongoing.

description: Spatial and temporal variability characterizes virtually all ecosystems, with resource supply changing over the course of growing season and across years due to climate variation. To better understand spatial heterogeneity in ecological response across landscape positions, we established a 16-node sensor array within a 45 hectare catchment landscape that measures temporal variability of important biogeochemical and hydrological controls on ecosystem processes. The array was established at the Niwot Saddle catchment in order to accompany long term water quality and discharge records taken at the top and bottom of this catchment. The region forms an important ecological linkage between the the terrestrial areas of the Niwot Ridge LTER and the aquatic component in the Green Lakes Valley.
DOI: 10.13012/b2idb-9011146_v1
title: Dataset associated with the "Fishes of Champaign County, Illinois: as affected by 120 years of stream changes" manuscript by Sherwood et al.

description: This dataset is associated with a larger manuscript published in 2022 in the Illinois Natural History Survey Bulletin that summarized the Fishes of Champaign County project from 2012-2015. With data spanning over 120 years, the Fishes of Champaign County is a comprehensive, long-term investigation into the changing fish communities of east-central Illinois. Surveys first occurred in Champaign County in the late 1880s (40 sites), with subsequent surveys in 1928–1929 (125 sites), 1959–1960 (143 sites), and 1987–1988 (141 sites). Between 2012 and 2015, we resampled 122 sites across Champaign County. The combined data from these five surveys have produced a unique perspective into not only the fish communities of the region, but also insight into in-stream habitat changes during the past 120 years. The dataset is in Microsoft Access format, with five data tables, one for each time period surveyed. Field names are self-explanatory, with some variation in data types collected during different surveys as follows: Forbes & Richardson (1880s) collected presence/absence only. Thompson & Hunt (1928-1929) collected abundance only, Larimore & Smith (1959-1960) collected length and weight for some samples, but only presence/absence at others. In some cases, fish of the same species were weighed in bulk, with the fields “LOW” and “HIGH” indicating the lower and upper limits of total length in the batch, and weight indicating the gross weight of all fish in the batch. Larimore and Bayley (1987-1988) collected length and weight for all surveys, and Sherwood and Stein (2012-2015) collected length and weight for all surveys except for cases where extremely abundant single species where subsampled. Lengths are reported in millimeters, and weight in grams. Two lookup tables provide information about species codes used in the data tables and sample site location and notes.
DOI: 10.13012/b2idb-9011146_v2
title: Dataset associated with the "Fishes of Champaign County, Illinois: as affected by 120 years of stream changes" manuscript by Sherwood et al.

description: This dataset is associated with a larger manuscript published in 2022 in the Illinois Natural History Survey Bulletin that summarized the Fishes of Champaign County project from 2012-2015. With data spanning over 120 years, the Fishes of Champaign County is a comprehensive, long-term investigation into the changing fish communities of east-central Illinois. Surveys first occurred in Champaign County in the late 1880s (40 sites), with subsequent surveys in 1928–1929 (125 sites), 1959–1960 (143 sites), and 1987–1988 (141 sites). Between 2012 and 2015, we resampled 122 sites across Champaign County. The combined data from these five surveys have produced a unique perspective into not only the fish communities of the region, but also insight into in-stream habitat changes during the past 120 years. The dataset is in Microsoft Access format, with five data tables, one for each time period surveyed. Field names are self-explanatory, with some variation in data types collected during different surveys as follows: Forbes & Richardson (1880s) collected presence/absence only. Thompson & Hunt (1928-1929) collected abundance only, Larimore & Smith (1959-1960) collected length and weight for some samples, but only presence/absence at others. In some cases, fish of the same species were weighed in bulk, with the fields “LOW” and “HIGH” indicating the lower and upper limits of total length in the batch, and weight indicating the gross weight of all fish in the batch. Larimore and Bayley (1987-1988) collected length and weight for all surveys, and Sherwood and Stein (2012-2015) collected length and weight for all surveys except for cases where extremely abundant single species where subsampled. Lengths are reported in millimeters, and weight in grams. Two lookup tables provide information about species codes used in the data tables and sample site location and notes.
DOI: 10.23729/eb7bb4e8-8bb9-44f2-8509-8df3eff502b1
title: Oxidative dehydrogenation of alcohols on gold: An experimental and computational study on the role of water and the alcohol chain length

description: Adsorption structures and reaction pathways for the reactions discussed in the paper by Mastroianni et al. The pathway files use the ASE trajectory-format (ASE version 3.22.1). The compressed file contains the following folder structure: adsorption_configuration: Adsorption structures for the single molecules on 3x3 Au111 surface protonation: Co-adsorption structures, final protonation states and NEB-pathways for selected structures O2_dissociation: Dissociation pathways for OOH and H2O2 OH_cleavage: NEB-pathways for cleaving the O-H-bond from the alcohol beta_elimination: NEB-pathways for beta-elimination from the alcoxy-species
DOI: 10.5281/zenodo.8008788
title: GEO-Bench: m-nz-cattle

description: <strong>GEO-Bench: m-nz-cattle dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Abuaiadah et al. (2022) and is available at: https://zenodo.org/record/5908869. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8008787
title: GEO-Bench: m-nz-cattle

description: <strong>GEO-Bench: m-nz-cattle dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Abuaiadah et al. (2022) and is available at: https://zenodo.org/record/5908869. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.6084/m9.figshare.17088407
title: Additional file 2 of Prognostic role of METTL1 in glioma

description: Additional file 2. DNA sequencing results from all the samples.
DOI: 10.6084/m9.figshare.17088385.v1
title: Additional file 2 of Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes

description: Additional file 2: Table S3. Significant differentially-expressed proteins in plasma of lung cancer patients.
DOI: 10.6084/m9.figshare.17088407.v1
title: Additional file 2 of Prognostic role of METTL1 in glioma

description: Additional file 2. DNA sequencing results from all the samples.
DOI: 10.6084/m9.figshare.11321264
title: MOESM1 of ZMYND10, an epigenetically regulated tumor suppressor, exerts tumor-suppressive functions via miR145-5p/NEDD9 axis in breast cancer

description: Additional file 1: Figure S1. RNA-Sequence analysis of ZMYND10 overexpression in MDA-MB231 cells. (A)The whole distribution of differentially expressed genes in ZMYND10 stablely transfected MDA-MB231 cells were shown by volcanic map. (B)KEGG pathway classification of differentially expressed genes. The rich factor represents the proportion of differentially expressed genes in specific terms, and the size of the dots represents the number of relevant differentially expressed genes.The Q-value is a calibrated p-value. (C)The analysis of differentially expressed genes associated with adhesion is indicated as a heat map. Figure S2. ZMYND10 suppressed xenograft tumor growth in vivo. (A) Image before resection of tumor xenografts. Red round indicated ZMYND10-overexpressing tumors and blue round indicated empty vector control tumors. (B) Image after resection of tumor xenografts. (C) Tumor weight.(D) Representative images of immunohistochemical (IHC) staining. Paraffin sections were stained for ZMYND10,Ki67 and NEDD9,400Ã—magnification.
DOI: 10.6084/m9.figshare.11321264.v1
title: MOESM1 of ZMYND10, an epigenetically regulated tumor suppressor, exerts tumor-suppressive functions via miR145-5p/NEDD9 axis in breast cancer

description: Additional file 1: Figure S1. RNA-Sequence analysis of ZMYND10 overexpression in MDA-MB231 cells. (A)The whole distribution of differentially expressed genes in ZMYND10 stablely transfected MDA-MB231 cells were shown by volcanic map. (B)KEGG pathway classification of differentially expressed genes. The rich factor represents the proportion of differentially expressed genes in specific terms, and the size of the dots represents the number of relevant differentially expressed genes.The Q-value is a calibrated p-value. (C)The analysis of differentially expressed genes associated with adhesion is indicated as a heat map. Figure S2. ZMYND10 suppressed xenograft tumor growth in vivo. (A) Image before resection of tumor xenografts. Red round indicated ZMYND10-overexpressing tumors and blue round indicated empty vector control tumors. (B) Image after resection of tumor xenografts. (C) Tumor weight.(D) Representative images of immunohistochemical (IHC) staining. Paraffin sections were stained for ZMYND10,Ki67 and NEDD9,400Ã—magnification.
DOI: 10.6084/m9.figshare.19185584
title: Additional file 10 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 10. The KEGG enrichment results of genes in MC1, MC2 and MC3.
DOI: 10.6084/m9.figshare.19185584.v1
title: Additional file 10 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 10. The KEGG enrichment results of genes in MC1, MC2 and MC3.
DOI: 10.6084/m9.figshare.19185587
title: Additional file 11 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 11. The KEGG analysis results of monthly DEGs.
DOI: 10.6084/m9.figshare.19185587.v1
title: Additional file 11 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 11. The KEGG analysis results of monthly DEGs.
DOI: 10.6084/m9.figshare.19185590
title: Additional file 12 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 12. The GO analysis results of monthly DEGs.
DOI: 10.6084/m9.figshare.19185590.v1
title: Additional file 12 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 12. The GO analysis results of monthly DEGs.
DOI: 10.6084/m9.figshare.19185599
title: Additional file 1 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 1. Read counts of all detected genes in 72 samples.
DOI: 10.6084/m9.figshare.19185599.v1
title: Additional file 1 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 1. Read counts of all detected genes in 72 samples.
DOI: 10.6084/m9.figshare.19185602
title: Additional file 2 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 2. Predicted lncRNAs.
DOI: 10.6084/m9.figshare.19185602.v1
title: Additional file 2 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 2. Predicted lncRNAs.
DOI: 10.6084/m9.figshare.19185605
title: Additional file 3 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 3. Differentially expressed genes in the control group.
DOI: 10.6084/m9.figshare.19185605.v1
title: Additional file 3 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 3. Differentially expressed genes in the control group.
DOI: 10.6084/m9.figshare.19185608
title: Additional file 4 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 4. Differentially expressed genes in the melatonin-treated group.
DOI: 10.6084/m9.figshare.19185608.v1
title: Additional file 4 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 4. Differentially expressed genes in the melatonin-treated group.
DOI: 10.6084/m9.figshare.19185611
title: Additional file 5 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 5. Detailed genes of 3 clusters in the control group (DC1, DC2 and DC3).
DOI: 10.6084/m9.figshare.19185611.v1
title: Additional file 5 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 5. Detailed genes of 3 clusters in the control group (DC1, DC2 and DC3).
DOI: 10.6084/m9.figshare.19185614
title: Additional file 6 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file  6. The KEGG enrichment results of genes in DC1, DC2 and DC3.
DOI: 10.6084/m9.figshare.19185614.v1
title: Additional file 6 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file  6. The KEGG enrichment results of genes in DC1, DC2 and DC3.
DOI: 10.6084/m9.figshare.19185617
title: Additional file 7 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 7. The Pearson correlations between genes and lncRNAs.
DOI: 10.6084/m9.figshare.19185617.v1
title: Additional file 7 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 7. The Pearson correlations between genes and lncRNAs.
DOI: 10.6084/m9.figshare.19185620
title: Additional file 8 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 8. Genes with different expression patterns between the control and melatonin-treated groups.
DOI: 10.6084/m9.figshare.19185620.v1
title: Additional file 8 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 8. Genes with different expression patterns between the control and melatonin-treated groups.
DOI: 10.6084/m9.figshare.19185623
title: Additional file 9 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 9. Detailed genes of 3 clusters in the melatonin-treated group (MC1, MC2 and MC3).
DOI: 10.6084/m9.figshare.19185623.v1
title: Additional file 9 of Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus

description: Additional file 9. Detailed genes of 3 clusters in the melatonin-treated group (MC1, MC2 and MC3).
DOI: 10.6084/m9.figshare.19185646
title: Additional file 2 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 2: Table S1. Gene losses identified in each species.
DOI: 10.6084/m9.figshare.19185646.v1
title: Additional file 2 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 2: Table S1. Gene losses identified in each species.
DOI: 10.6084/m9.figshare.19185652
title: Additional file 3 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 3: Table S2. Results of functional group enrichment analysis.
DOI: 10.6084/m9.figshare.19185652.v1
title: Additional file 3 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 3: Table S2. Results of functional group enrichment analysis.
DOI: 10.6084/m9.figshare.19185655
title: Additional file 4 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 4: Table S3. Mutations of pseudogenes discussed in the main text.
DOI: 10.6084/m9.figshare.19185655.v1
title: Additional file 4 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 4: Table S3. Mutations of pseudogenes discussed in the main text.
DOI: 10.6084/m9.figshare.19185658
title: Additional file 5 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 5: Table S4. Independent gene losses between NMRs and BMRs.
DOI: 10.6084/m9.figshare.19185572
title: Additional file 7 of Unprecedented organelle genomic variations in morning glories reveal independent evolutionary scenarios of parasitic plants and the diversification of plant mitochondrial complexes

description: Additional file 7. BLASTN searches of the downstream of FR1 and upstream of FR2. Erycibe was used as the query. Parameter: word_size 16, e-value 1e-5.
DOI: 10.6084/m9.figshare.19185658.v1
title: Additional file 5 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 5: Table S4. Independent gene losses between NMRs and BMRs.
DOI: 10.6084/m9.figshare.19185551
title: Additional file 2 of Unprecedented organelle genomic variations in morning glories reveal independent evolutionary scenarios of parasitic plants and the diversification of plant mitochondrial complexes

description: Additional file 2. Mitogenome content. The black, grey and blank cells represent intact, pseudo and missing, respectively. Coding genes with disrupted reading frames, premature stop codons, or non-triplet frameshifts were annotated as pseudogenes.
DOI: 10.6084/m9.figshare.19185661
title: Additional file 6 of Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat

description: Additional file 6: Table S5. MGI MP information for overlapping pseudogenes.