cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/57801
title: Chandra X-ray Observatory ObsId 57801
DOI: 10.25574/57802
title: Chandra X-ray Observatory ObsId 57802
DOI: 10.25574/57806
title: Chandra X-ray Observatory ObsId 57806
DOI: 10.25574/57807
title: Chandra X-ray Observatory ObsId 57807
DOI: 10.25574/57810
title: Chandra X-ray Observatory ObsId 57810
DOI: 10.25574/57811
title: Chandra X-ray Observatory ObsId 57811
DOI: 10.25574/57813
title: Chandra X-ray Observatory ObsId 57813
DOI: 10.25574/57815
title: Chandra X-ray Observatory ObsId 57815
DOI: 10.25574/57816
title: Chandra X-ray Observatory ObsId 57816
DOI: 10.25574/57818
title: Chandra X-ray Observatory ObsId 57818
DOI: 10.25574/57819
title: Chandra X-ray Observatory ObsId 57819
DOI: 10.25574/57820
title: Chandra X-ray Observatory ObsId 57820
DOI: 10.25574/57822
title: Chandra X-ray Observatory ObsId 57822
DOI: 10.25574/57825
title: Chandra X-ray Observatory ObsId 57825
DOI: 10.25574/57827
title: Chandra X-ray Observatory ObsId 57827
DOI: 10.7284/148325
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise PE21-02 using a Hawaii UHDAS instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57829
title: Chandra X-ray Observatory ObsId 57829
DOI: 10.7284/141285
title: Fluorometer data collected during research cruise PE21-02 using a WETLabs ECO-FL instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57832
title: Chandra X-ray Observatory ObsId 57832
DOI: 10.7284/141284
title: GNSS (Global Navigation Satellite System) data collected during research cruise PE21-02 using a Ashtech ADU800 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57834
title: Chandra X-ray Observatory ObsId 57834
DOI: 10.7284/141286
title: Gyrocompass data collected during research cruise PE21-02 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57839
title: Chandra X-ray Observatory ObsId 57839
DOI: 10.7284/141287
title: Meteorological Station data collected during research cruise PE21-02 using a RMYoung 92000 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57842
title: Chandra X-ray Observatory ObsId 57842
DOI: 10.7284/141282
title: Transmissometer data collected during research cruise PE21-02 using a WETLabs C-Star instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57843
title: Chandra X-ray Observatory ObsId 57843
DOI: 10.7284/141281
title: TSG (Thermosalinograph) data collected during research cruise PE21-02 using a SeaBird SBE-21 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25574/57845
title: Chandra X-ray Observatory ObsId 57845
DOI: 10.25574/57847
title: Chandra X-ray Observatory ObsId 57847
DOI: 10.25574/57849
title: Chandra X-ray Observatory ObsId 57849
DOI: 10.25574/57851
title: Chandra X-ray Observatory ObsId 57851
DOI: 10.25574/57853
title: Chandra X-ray Observatory ObsId 57853
DOI: 10.25574/57854
title: Chandra X-ray Observatory ObsId 57854
DOI: 10.25574/57856
title: Chandra X-ray Observatory ObsId 57856
DOI: 10.25574/57857
title: Chandra X-ray Observatory ObsId 57857
DOI: 10.25574/57859
title: Chandra X-ray Observatory ObsId 57859
DOI: 10.25574/57860
title: Chandra X-ray Observatory ObsId 57860
DOI: 10.25574/57862
title: Chandra X-ray Observatory ObsId 57862
DOI: 10.25574/57867
title: Chandra X-ray Observatory ObsId 57867
DOI: 10.25574/57878
title: Chandra X-ray Observatory ObsId 57878
DOI: 10.25574/57879
title: Chandra X-ray Observatory ObsId 57879
DOI: 10.25574/57882
title: Chandra X-ray Observatory ObsId 57882
DOI: 10.25574/57883
title: Chandra X-ray Observatory ObsId 57883
DOI: 10.25574/57885
title: Chandra X-ray Observatory ObsId 57885
DOI: 10.25574/57887
title: Chandra X-ray Observatory ObsId 57887
DOI: 10.25574/57889
title: Chandra X-ray Observatory ObsId 57889
DOI: 10.25574/57891
title: Chandra X-ray Observatory ObsId 57891
DOI: 10.25574/57892
title: Chandra X-ray Observatory ObsId 57892
DOI: 10.25574/57893
title: Chandra X-ray Observatory ObsId 57893
DOI: 10.25574/57895
title: Chandra X-ray Observatory ObsId 57895
DOI: 10.25574/57896
title: Chandra X-ray Observatory ObsId 57896
DOI: 10.25574/57898
title: Chandra X-ray Observatory ObsId 57898
DOI: 10.25574/57899
title: Chandra X-ray Observatory ObsId 57899
DOI: 10.25574/57902
title: Chandra X-ray Observatory ObsId 57902
DOI: 10.25574/57903
title: Chandra X-ray Observatory ObsId 57903
DOI: 10.25574/57906
title: Chandra X-ray Observatory ObsId 57906
DOI: 10.25574/57908
title: Chandra X-ray Observatory ObsId 57908
DOI: 10.25574/57911
title: Chandra X-ray Observatory ObsId 57911
DOI: 10.25574/57915
title: Chandra X-ray Observatory ObsId 57915
DOI: 10.25574/57917
title: Chandra X-ray Observatory ObsId 57917
DOI: 10.25574/57921
title: Chandra X-ray Observatory ObsId 57921
DOI: 10.25574/57923
title: Chandra X-ray Observatory ObsId 57923
DOI: 10.25574/57924
title: Chandra X-ray Observatory ObsId 57924
DOI: 10.25574/57927
title: Chandra X-ray Observatory ObsId 57927
DOI: 10.25574/57928
title: Chandra X-ray Observatory ObsId 57928
DOI: 10.25574/57930
title: Chandra X-ray Observatory ObsId 57930
DOI: 10.25574/57931
title: Chandra X-ray Observatory ObsId 57931
DOI: 10.25574/57933
title: Chandra X-ray Observatory ObsId 57933
DOI: 10.25574/57934
title: Chandra X-ray Observatory ObsId 57934
DOI: 10.25574/57938
title: Chandra X-ray Observatory ObsId 57938
DOI: 10.25574/57939
title: Chandra X-ray Observatory ObsId 57939
DOI: 10.25574/57943
title: Chandra X-ray Observatory ObsId 57943
DOI: 10.25574/57945
title: Chandra X-ray Observatory ObsId 57945
DOI: 10.25574/57949
title: Chandra X-ray Observatory ObsId 57949
DOI: 10.25574/57950
title: Chandra X-ray Observatory ObsId 57950
DOI: 10.25574/57952
title: Chandra X-ray Observatory ObsId 57952
DOI: 10.25574/57954
title: Chandra X-ray Observatory ObsId 57954
DOI: 10.25574/57957
title: Chandra X-ray Observatory ObsId 57957
DOI: 10.25574/57958
title: Chandra X-ray Observatory ObsId 57958
DOI: 10.25574/57960
title: Chandra X-ray Observatory ObsId 57960
DOI: 10.25574/57964
title: Chandra X-ray Observatory ObsId 57964
DOI: 10.25574/57966
title: Chandra X-ray Observatory ObsId 57966
DOI: 10.25574/57968
title: Chandra X-ray Observatory ObsId 57968
DOI: 10.25574/57971
title: Chandra X-ray Observatory ObsId 57971
DOI: 10.25574/57973
title: Chandra X-ray Observatory ObsId 57973
DOI: 10.25574/57975
title: Chandra X-ray Observatory ObsId 57975
DOI: 10.25574/57976
title: Chandra X-ray Observatory ObsId 57976
DOI: 10.25574/57981
title: Chandra X-ray Observatory ObsId 57981
DOI: 10.25574/57982
title: Chandra X-ray Observatory ObsId 57982
DOI: 10.25574/57986
title: Chandra X-ray Observatory ObsId 57986
DOI: 10.25574/57987
title: Chandra X-ray Observatory ObsId 57987
DOI: 10.25574/57989
title: Chandra X-ray Observatory ObsId 57989
DOI: 10.25574/57990
title: Chandra X-ray Observatory ObsId 57990
DOI: 10.25574/57993
title: Chandra X-ray Observatory ObsId 57993
DOI: 10.25574/57994
title: Chandra X-ray Observatory ObsId 57994
DOI: 10.25574/57997
title: Chandra X-ray Observatory ObsId 57997
DOI: 10.25574/57998
title: Chandra X-ray Observatory ObsId 57998
DOI: 10.5281/zenodo.7038262
title: Vertical velocity maps for the Nice Côte d'Azur airport measured by InSAR

description: The present datasets consists in three InSAR velocity maps in mm/yr (vertical land velocity) that shows the ongoing Nice Côte d'Azur airport subsidence from 1992 until today. The three velocity maps have been computed from SAR data acquired by three succesive ESA missions (ERS, Envisat, and Sentinel-1).
DOI: 10.6084/m9.figshare.20054378.v1
title: EVO10 dataset dictionnary with SMILES and sillywalk score

description: SMILES generated by EvoMol during enumeration experiments of the chemical spaces as defined by the ECFP4 of either ChEMBL or ZINC+ChEMBL. <br> JSON file of python dictionnary. Key: SMILES, value: dict {'HAC' # number of heavy atoms up to 10, 'swscore_ChEMBL' # % of ECFP4 of the molecule that belong to ChEMBL, 'swscore_ZINC' # % of ECFP4 of the molecule that belong to ZINC or ChEMBL} Only neutral singlet molecule without any atomic charges (formal or real) composed of H, C, N, O, F and S.
DOI: 10.17043/stranne-2022-methane-1
title: Selected model output from numerical simulations of future climate warming-induced seafloor methane escape
DOI: 10.6084/m9.figshare.20769646
title: Nanopore sequencing of quantitative PCR assays reveals off target Aspergillus species commonly found in Cannabis flowers

description: Illumina Sequecing of a qPCR assay was performed. Paired Reads were merged with FLASH, trimmed and q30 quality filtered and BLAST'd against NCBI NR. Krona plots were generated with the top 1000 reads. <br> For ONT analysis, 2 different ITS amplicons (450bp and 750bp) were amplified from the Pre-PCR DNA to assess the microbiome diversity the qPCR assay was targeting. <br> The 450bp ITS assay is fungal specific. The 750bp ITS assay include plants and fungi (Cheng et al). <br> Amplicons were converted to Barcode ready sequencing libraries and sequenced on a Flongle with SUP basecalling mode. Reads &gt;Q14 and 200-800bp in length were BLAST'd and fed into Krona plots.
DOI: 10.6084/m9.figshare.20769646.v1
title: Nanopore sequencing of quantitative PCR assays reveals off target Aspergillus species commonly found in Cannabis flowers

description: Illumina Sequecing of a qPCR assay was performed. Paired Reads were merged with FLASH, trimmed and q30 quality filtered and BLAST'd against NCBI NR. Krona plots were generated with the top 1000 reads. <br> For ONT analysis, 2 different ITS amplicons (450bp and 750bp) were amplified from the Pre-PCR DNA to assess the microbiome diversity the qPCR assay was targeting. <br> The 450bp ITS assay is fungal specific. The 750bp ITS assay include plants and fungi (Cheng et al). <br> Amplicons were converted to Barcode ready sequencing libraries and sequenced on a Flongle with SUP basecalling mode. Reads &gt;Q14 and 200-800bp in length were BLAST'd and fed into Krona plots.
DOI: 10.6084/m9.figshare.20769757
title: flwr_traits_2019.csv

description: Dataset created to compare floral morphometric traits and flower nectar quantity and quality of three Cucurbita sister species. Staminate and pistiallate flowers were collected in the states of Jalisco, Guerrero and Michoacan in Mexico. To determine whether floral attributes differ between cucurbit species, we compared the size of each floral trait using a generalized linear mixed model (lme4 function ‘glmer’, Bates 2010, and stats function ‘glm’, R Core Team 2020) followed by a post hoc Tukey test (emmeans function ‘emmeans’, Lenth 2021). Floral trait measurements were log10 transformed to obtain normality. Pollinator attraction traits corolla (CD, TL, CL, TD1, TD2, TD3; Fig. 1A and B) were evaluated individually as response variables and the interaction between cucurbit species and floral sex as fixed factor. Plant reproductive traits, androecium (AD, StL, AL; Fig. 1C), gynoecium (SD, SL, PL, OL, OD; Fig. 1D) and nectary diameter (NDm and NDf; Fig. 1C and D), were evaluated individually as the response variables and the cucurbit species as the predictor variable. Field sites were set as a random variable to account for site level variation. Because multiple flowers were measured from the same plant, plant ID was nested within the site random variable to account for individual level variation within each plant at each site. Significance level was found using type III Wald chi-square tests (car function ‘Anova’, Fox and Weisberg 2019). Additionally, to analyze the individual variation of each floral trait, we calculated the coefficient of variation (CV = s / x̅) for one randomly selected flower from each plant. All floral attribute analysis were completed in the R program (version 4.0.1) (R Core Team, 2020). To analyze whether volume and sugar concentration of nectar differs between cucurbits species, floral sex, and time, we performed generalized linear mixed models (nectar volume: lme4 function ‘glmer’, Bates 2010, nectar sugar concentration: glmmTMG function ‘glmmTMB’, Magnusson et al. 2018) followed by a post hoc Tukey test (emmeans function ‘emmeans’, Lenth 2021). To normalize data, we converted nectar volumes using log10 and sugar concentrations were converted to proportion. We used nectar volume and sugar concentration as response variables and the interaction between cucurbit species, flower sex and time as predictive variables (emmeans function ‘emmeans’, Lenth 2021). Time was transformed to decimal time (time x 1440) for analysis. Because some pistillate and staminate flowers were sampled from the same plant, Plant ID was used as a random variable which was nested within the field site to control for site level variation. For nectar volume, we used a normal distribution and for sugar concentration we used a beta distribution
DOI: 10.7284/141293
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise PE21-03 using a Hawaii UHDAS instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141291
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE21-03 using a SeaBird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141294
title: Fluorometer data collected during research cruise PE21-03 using a WETLabs ECO-FL instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141292
title: GNSS (Global Navigation Satellite System) data collected during research cruise PE21-03 using a Ashtech ADU800 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141295
title: Gyrocompass data collected during research cruise PE21-03 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141296
title: Meteorological Station data collected during research cruise PE21-03 using a RMYoung 92000 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141290
title: Transmissometer data collected during research cruise PE21-03 using a WETLabs C-Star instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141289
title: TSG (Thermosalinograph) data collected during research cruise PE21-03 using a SeaBird SBE-21 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25318/9810013501-eng
title: Household and family characteristics of persons including detailed information on stepfamilies, presence of grandparents in household, age group and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations

description: Data on living arrangements of persons in private households including stepfamily status and presence of grandparents, age group and gender, Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021 and 2016 censuses.
DOI: 10.25318/9810013501-fra
title: Caractéristiques familiales et du ménage des personnes y compris de l'information détaillée sur les familles recomposées, présence de grands-parents dans le ménage, groupe d’âge et genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement

description: Données sur la situation des enfants dans les ménages privés y compris la situation de famille recomposée et la présence de grands-parents, Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement, recensements de 2021 et 2016.
DOI: 10.6084/m9.figshare.20501553
title: author checklist for animal research by arriveguideline.pdf

description: This data is the extend data of research titled <strong>Gingival Healing Response in Periodontitis Case of Wistar Rat Model After Application of Sarang Semut Plant (</strong><em><strong>Myrmecodia pendens) </strong></em><strong>Extract</strong> by fill in the Arrive guideline set 10 and recommend set. <br> <strong>Background: </strong>Infected periodontal pocket by microorganisms plays an important role in the occurrence of periodontal tissue necrosis and the formation of periapical abnormalities. Therefore, periodontal pocket treatment should be carried out with the aim of eliminating or reducing the microbial population and biomechanically removing necrotic tissue which is a medium for microbial growth and preventing re-infection. One of the medicinal plants from the Kalimantan forest that has great potential is Sarang Semut (<em>Myrmecodia pendens</em>). This study aims to determine the response of gingival healing in the case of periodontitis in the wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract. <strong>Material and Method:</strong> Sarang Semut plant (<em>Myrmecodia pendens</em>) extract dilution to concentration of 2.5%, 5% and 10% was carried out at the Microbiology Laboratory followed by research using experimental animals until gingival excision. Preparation of excised gingival and reading tissue preparations was carried out at the Veterinary Medicine Laboratory. This research is a laboratory experimental research and used post-test with control group design. <strong>Results:</strong> The results showed that ethanol extract of Sarang Semut can increase the healing response of the gingiva that has been induced by periodontitis bacteria. There is three concentration that have been given 2.5%, 5%, and 10%. The smallest concentration provide healing area. <strong>Conclusion:</strong> Gingival healing response in periodontitis cases of wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract showed results that resembled positive control on the application of 2.5% with clinical signs on the rat’s gingiva that experienced changes in color, contour, and blending.
DOI: 10.6084/m9.figshare.20501553.v2
title: author checklist for animal research by arriveguideline.pdf

description: This data is the extend data of research titled <strong>Gingival Healing Response in Periodontitis Case of Wistar Rat Model After Application of Sarang Semut Plant (</strong><em><strong>Myrmecodia pendens) </strong></em><strong>Extract</strong> by fill in the Arrive guideline set 10 and recommend set. <br> <strong>Background: </strong>Infected periodontal pocket by microorganisms plays an important role in the occurrence of periodontal tissue necrosis and the formation of periapical abnormalities. Therefore, periodontal pocket treatment should be carried out with the aim of eliminating or reducing the microbial population and biomechanically removing necrotic tissue which is a medium for microbial growth and preventing re-infection. One of the medicinal plants from the Kalimantan forest that has great potential is Sarang Semut (<em>Myrmecodia pendens</em>). This study aims to determine the response of gingival healing in the case of periodontitis in the wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract. <strong>Material and Method:</strong> Sarang Semut plant (<em>Myrmecodia pendens</em>) extract dilution to concentration of 2.5%, 5% and 10% was carried out at the Microbiology Laboratory followed by research using experimental animals until gingival excision. Preparation of excised gingival and reading tissue preparations was carried out at the Veterinary Medicine Laboratory. This research is a laboratory experimental research and used post-test with control group design. <strong>Results:</strong> The results showed that ethanol extract of Sarang Semut can increase the healing response of the gingiva that has been induced by periodontitis bacteria. There is three concentration that have been given 2.5%, 5%, and 10%. The smallest concentration provide healing area. <strong>Conclusion:</strong> Gingival healing response in periodontitis cases of wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract showed results that resembled positive control on the application of 2.5% with clinical signs on the rat’s gingiva that experienced changes in color, contour, and blending.
DOI: 10.6084/m9.figshare.20501553.v1
title: author checklist for animal research by arriveguideline.pdf

description: This data is the extend data of research titled <strong>Gingival Healing Response in Periodontitis Case of Wistar Rat Model After Application of Sarang Semut Plant (</strong><em><strong>Myrmecodia pendens) </strong></em><strong>Extract</strong> by fill in the Arrive guideline set 10 and recommend set. <br> <strong>Background: </strong>Infected periodontal pocket by microorganisms plays an important role in the occurrence of periodontal tissue necrosis and the formation of periapical abnormalities. Therefore, periodontal pocket treatment should be carried out with the aim of eliminating or reducing the microbial population and biomechanically removing necrotic tissue which is a medium for microbial growth and preventing re-infection. One of the medicinal plants from the Kalimantan forest that has great potential is Sarang Semut (<em>Myrmecodia pendens</em>). This study aims to determine the response of gingival healing in the case of periodontitis in the wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract. <strong>Material and Method:</strong> Sarang Semut plant (<em>Myrmecodia pendens</em>) extract dilution to concentration of 2.5%, 5% and 10% was carried out at the Microbiology Laboratory followed by research using experimental animals until gingival excision. Preparation of excised gingival and reading tissue preparations was carried out at the Veterinary Medicine Laboratory. This research is a laboratory experimental research and used post-test with control group design. <strong>Results:</strong> The results showed that ethanol extract of Sarang Semut can increase the healing response of the gingiva that has been induced by periodontitis bacteria. There is three concentration that have been given 2.5%, 5%, and 10%. The smallest concentration provide healing area. <strong>Conclusion:</strong> Gingival healing response in periodontitis cases of wistar rat model after the application of Sarang Semut plant (<em>Myrmecodia pendens</em>) extract showed results that resembled positive control on the application of 2.5% with clinical signs on the rat’s gingiva that experienced changes in color, contour, and blending.
DOI: 10.34740/kaggle/dsv/4143678
title: spotify-song-features
DOI: 10.25318/9810013701-eng
title: Census family status and household living arrangements, presence of parent in household, age group and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations

description: Data on census family status and presence of parent in household, age group and gender for the population aged 20 to 34 in private households, Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021, 2016 and 2011 censuses.
DOI: 10.21223/g3rmsh/ikwzcc
title: 03_Cuestionario CAP (anemia)_Linea de Base.docx

description: :unav
DOI: 10.21223/g3rmsh/tpqf7l
title: 01_DataSet_CAP Anemia - La Libertad 2021 - Linea de Base v3.tab

description: :unav
DOI: 10.21223/g3rmsh/w8lh2s
title: 02_DataDictionary_CAP Anemia - La Libertad 2021 - Linea de Base v3.xlsx

description: :unav