cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive111918.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111919.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111920.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111921.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111922.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111923.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111924.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112707.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112708.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112709.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112710.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112711.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112712.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112713.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112714.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113576.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113577.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113578.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113579.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113580.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113581.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113582.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113583.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114395.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114396.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114397.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114398.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114399.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114400.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114401.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114402.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115181.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115182.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115183.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115184.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115185.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115186.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115187.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115188.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115189.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115190.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115993.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115994.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115995.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115996.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115997.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.4613046
title: Tomographic data acquired by a combination of a helical scanning and half-acquisition scanning technique: Part 01

description: Tomographic data acquired by a combination of a helical scan and a half-acquisition scan (offset center-of-rotation) was used to demonstrate data processing methods in the paper: "Data processing methods and data acquisition for samples larger than the field of view in parallel-beam tomography" Nghia T. Vo, Robert C. Atwood, M. Drakopoulos, and Thomas Connolley, https://doi.org/10.1364/OE.418448 To extract data, you firstly collect all the files together (There are 5 files uploaded to 3 zenodo sections: *Part01, *Part02, *Part03) and run "zip -F helical_half_acquisition_scan_splitted.zip<br> --out data.zip" to recreate dataset. Then you can unzip by running "unzip data.zip"
DOI: 10.15468/8pcejp
title: Genital morphology differentiates three subspecies of the terrestrial slug Arion ater (Linnæus, 1758) s. l. and reveals a continuum of intermediates with the invasive A. vulgaris Moquin-Tandon, 1855

description: This dataset contains the digitized treatments in Plazi based on the original journal article Reise, Heike, Schwarzer, Anne-Katrin, Hutchinson, John M. C., Schlitt, Bettina (2020): Genital morphology differentiates three subspecies of the terrestrial slug Arion ater (Linnæus, 1758) s. l. and reveals a continuum of intermediates with the invasive A. vulgaris Moquin-Tandon, 1855. Folia Malacologica 28 (1): 1-34, DOI: 10.12657/folmal.028.001, URL: http://dx.doi.org/10.12657/folmal.028.001
DOI: 10.5517/ccdc.csd.cc23qsbz
title: CCDC 1958311: Experimental Crystal Structure Determination

description: Related Article: Fei Zhang, Yaoming Liu, Binsheng Yang, Pengli Guan, Jie Chai, Guangming Wen, Bin Liu|2021|J.Mater.Chem.B|9|2417|doi:10.1039/D0TB02801K
DOI: 10.5517/ccdc.csd.cc26vz46
title: CCDC 2051708: Experimental Crystal Structure Determination

description: Related Article: Yuki Morimoto, Fengkun Chen, Yusuke Matsuo, Koki Kise, Takayuki Tanaka, Atsuhiro Osuka|2021|Chem.Asian J.|16|648|doi:10.1002/asia.202001459
DOI: 10.5517/ccdc.csd.cc26vz57
title: CCDC 2051709: Experimental Crystal Structure Determination

description: Related Article: Yuki Morimoto, Fengkun Chen, Yusuke Matsuo, Koki Kise, Takayuki Tanaka, Atsuhiro Osuka|2021|Chem.Asian J.|16|648|doi:10.1002/asia.202001459
DOI: 10.5517/ccdc.csd.cc26vz68
title: CCDC 2051710: Experimental Crystal Structure Determination

description: Related Article: Yuki Morimoto, Fengkun Chen, Yusuke Matsuo, Koki Kise, Takayuki Tanaka, Atsuhiro Osuka|2021|Chem.Asian J.|16|648|doi:10.1002/asia.202001459
DOI: 10.5517/ccdc.csd.cc26vz79
title: CCDC 2051711: Experimental Crystal Structure Determination

description: Related Article: Yuki Morimoto, Fengkun Chen, Yusuke Matsuo, Koki Kise, Takayuki Tanaka, Atsuhiro Osuka|2021|Chem.Asian J.|16|648|doi:10.1002/asia.202001459
DOI: 10.6084/m9.figshare.13537379
title: USTRANSCOM 777 Hangar Master Spreadsheet with raw data

description: USTRANSCOM Aug 2020 - Commercial Aircraft Cabin Aerosol Dispersion Test - 777 Hangar Master Spreadsheet with raw data<br>
DOI: 10.6084/m9.figshare.13537379.v4
title: USTRANSCOM 777 Hangar Master Spreadsheet with raw data

description: USTRANSCOM Aug 2020 - Commercial Aircraft Cabin Aerosol Dispersion Test - 777 Hangar Master Spreadsheet with raw data<br>
DOI: 10.6084/m9.figshare.13537379.v3
title: USTRANSCOM 777 Hangar Master Spreadsheet with raw data

description: USTRANSCOM Aug 2020 - Commercial Aircraft Cabin Aerosol Dispersion Test - 777 Hangar Master Spreadsheet with raw data<br>
DOI: 10.6084/m9.figshare.14182637
title: wrfout_d01_0036-00009_20:00:00_atm.dat

description: Kite et al PNAS 2021 GCM output
DOI: 10.6084/m9.figshare.14182637.v1
title: wrfout_d01_0036-00009_20:00:00_atm.dat

description: Kite et al PNAS 2021 GCM output
DOI: 10.6084/m9.figshare.14182643
title: wrfout_d01_0036-00009_20:00:00

description: Kite et al PNAS 2021 GCM output
DOI: 10.6084/m9.figshare.14233700
title: Probe-based confocal endomicroscopy for real-time diagnosis of gallbladder malignancy.xlsx

description: Probe-based confocal endomicroscopy for real-time diagnosis of gallbladder malignancy
DOI: 10.6084/m9.figshare.14233700.v1
title: Probe-based confocal endomicroscopy for real-time diagnosis of gallbladder malignancy.xlsx

description: Probe-based confocal endomicroscopy for real-time diagnosis of gallbladder malignancy
DOI: 10.6084/m9.figshare.14233718
title: CAT outputs of carbon allocation and turnover time

description: CAT-estimated forest NPP allocation to leaf and wood carbon pools, and turnover time of forest leaf carbon pools and wood carbon pools
DOI: 10.21227/kzw8-bn12
title: January-20-Rivera-Sergio

description: January-20-Rivera-Sergio
DOI: 10.34740/kaggle/dsv/2033815
title: Nearby Social Network - All Posts
DOI: 10.6084/m9.figshare.12824258
title: Marsit_et_al_Ploidy_data_2020

description: Hybridization and polyploidy are powerful mechanisms of speciation. Hybrid speciation often coincides with whole genome duplication (WGD). This suggests that WGD may impact the fate of hybrids by increasing access to adaptive mutations and/or restoring fertility. Alternatively, it has also been suggested that hybridization itself may increase the probability of WGD. Testing these models requires that we examine the rate of WGD in hybrids without the confounding effect of natural selection. By measuring the spontaneous rate of WGD of more than a thousand yeast crosses evolved under relaxed selection, we show that WGD can be triggered by hybridization. We also find that higher WGD rate correlates with higher genomic instability, and that WGD increases fertility and genetic variability. These results provide evidence that hybridization itself can promote WGD.
DOI: 10.5281/zenodo.4615661
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.4615654
title: PFP data repository

description: This updated archive contains the data shown in most Figures of the manuscript von der Gathen et al., The influence of climate change on chemical loss of ozone in the Arctic stratosphere, 2nd revision submitted to Nature Communications, mid March 2021 as well as some data sets used in the manuscript. In case of problems, please contact Peter von der Gathen &lt;Peter.von.der.Gathen@awi.de&gt;
DOI: 10.6073/pasta/4195991aa9f38c619b10adde0b0bee57
title: Effects of nutrients and organic carbon on the relative proportion of primary producers (microalgae) and heterotrophic decomposers (bacteria and fungi) during aquatic biofilm development in boreal peatland located near Fairbanks Alaska - 2018

description: 1. Producer-decomposer interactions within aquatic biofilms can range from mutualistic associations to competition depending on available resources. The outcomes of such interactions have implications for biogeochemical cycling, and as such, may be especially important in northern peatlands, which are a global carbon sink and are expected to experience changes in resource availability with climate change. The purpose of this study was to evaluate the effects of nutrients and organic carbon on the relative proportion of primary producers (microalgae) and heterotrophic decomposers (bacteria and fungi) during aquatic biofilm development in a boreal peatland. Given that decomposers are often better competitors for nutrients than primary producers in aquatic ecosystems, we predicted that labile carbon subsidies would shift the biofilm composition towards heterotrophy owing to the ability of decomposers to outcompete primary producers for available nutrients in the absence of carbon limitation. 2. We manipulated nutrients (nitrate and phosphate) and organic carbon (glucose) in a full factorial design using nutrient-diffusing substrates in an Alaskan fen. 3. Heterotrophic bacteria were limited by organic carbon and algae were limited by inorganic nutrients. However, the outcomes of competitive interactions depended on background nutrient levels. Heterotrophic bacteria were able to outcompete algae for available nutrients when organic carbon was elevated and nutrient levels remained low, but not when organic carbon and nutrients were both elevated through enrichment. 4. Fungal biomass was significantly lower in the presence of glucose alone, possibly owing to antagonistic interactions with heterotrophic bacteria. In contrast to bacteria, fungi were stimulated along with algae following nutrient enrichment. 5. The decoupling of algae and heterotrophic bacteria in the presence of glucose alone shifted the biofilm trophic status towards heterotrophy. This effect was overturned when nutrients were enriched along with glucose, owing to a subsequent increase in algal biomass in the absence of nutrient limitation. 6. By measuring individual components of the biofilm and obtaining data on the trophic status, we have begun to establish a link between resource availability and biofilm formation in northern peatlands. Our results show that labile carbon subsidies from outside sources have the potential to disrupt microbial coupling and shift the metabolic balance in favor of heterotrophy. The extent to which this occurs in the future will likely depend on the timing and composition of bioavailable nutrients delivered to surface waters with environmental change (e.g. permafrost thaw).
DOI: 10.3886/e135162
title: COVID-19 and intergroup relations

description: COVID-19 and intergroup relations between countries
DOI: 10.3886/e135162v1
title: COVID-19 and intergroup relations

description: COVID-19 and intergroup relations between countries
DOI: 10.6084/m9.figshare.14233904.v1
title: Ribosomal protein database of Shewanella algae strain BrY

description: This work presents the ribosomal protein database of <i>Shewanella algae </i>strain BrY. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14233904
title: Ribosomal protein database of Shewanella algae strain BrY

description: This work presents the ribosomal protein database of <i>Shewanella algae </i>strain BrY. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14233934
title: Table 1.xlsx

description: Table 1 from "Visible Facebook profiles in medical students: an approach to e-professionalism in a middle-income developing"<br>
DOI: 10.6084/m9.figshare.14233934.v1
title: Table 1.xlsx

description: Table 1 from "Visible Facebook profiles in medical students: an approach to e-professionalism in a middle-income developing"<br>
DOI: 10.21227/t5bk-jg75
title: January-20-Jiawei-Dong

description: January-20-Jiawei-Dong
DOI: 10.6084/m9.figshare.14233928
title: Cognition, depressive symptoms, functional capacity and frailty in institutionalized elderly

description: This database presents results of two research projects carried out in four Brazilian long-term institutions, 3 in the city of Rio de Janeiro (RJ) and 1 in Montes Claros (MG) between the years 2015 and 2018. The sample comprises 67 elderly, data were collected on age, sex, global cognition (Brazilian version of the Mini Mental State Examination - MEEM) (Bertolucci et al., 1994), frailty syndrome (SF) based on the criteria proposed by Fried et al. , 2001, depressive symptoms through the Brazilian version Geriatric Depression Scale (GDS) (De Sousa et al., 2007). Still, for the evaluation of memory, the tests of verbal fluency (FV) were used in order to evaluate the semantic memory and the executive function (Brucki, S. M. et al., 1997); Digit Span Forward (DSF) and Backward (DSB) to check short-term and working memory, respectively (Schroeder, R. W. et al., 2012). The inclusion criteria were: i) being a resident of a long-term institution; ii) be 60 years of age or older; iii) understand and answer commands. The exclusion criteria were: i) dependent walking; ii) severe cardiovascular and neurological diseases. Following the ethical precepts, the projects were approved by their respective Research Ethics Committees, according to the place and period of collection, which are: Research Ethics Committee of the Universidade Federal Fluminense, under the registration 1,178,067 in the year of 2015 and by the Research Ethics Committee of the State University of Montes Claros under opinion 2,398,863 in the year 2017. All participants or their guardians signed the informed consent form in accordance with resolution 466/2012 of the National Council of Health in Brazil.