cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive131240.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131241.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131242.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131243.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131244.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131245.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131246.20201210.5
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131247.20201210.5
title: Aureibacter tunicatorum Yoon et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.5897854
title: Symbolic Analysis of the Heart Rate Variability During the Plateau Phase Following Maximal Sprint Exercise.

description: Dataset from Storniolo JL, Cairo B, Porta A, Cavallari P. Symbolic Analysis of the Heart Rate Variability During the Plateau Phase Following Maximal Sprint Exercise. Front Physiol. 2021 Mar 23;12:632883. doi: 10.3389/fphys.2021.632883. PMID: 33833687; PMCID: PMC8021730. Cardiac autonomic control is commonly assessed <em>via</em> the analysis of fluctuations of the temporal distance between two consecutive R-waves (RR). Cardiac regulation assessment following high intensity physical exercise is difficult due to RR non-stationarities. The very short epoch following maximal sprint exercise when RR remains close to its lowest value, i.e., the PLATEAU, provides the opportunity to evaluate cardiac regulation from stationary RR sequences. The aim of the study is to evaluate cardiac autonomic control during PLATEAU phase following 60-m maximal sprint and compare the results to those derived from sequences featuring the same length as the PLATEAU and derived from pre-exercise and post-exercise periods. These sequences were referred to as PRE and POST sequences. RR series were recorded in 21 subjects (age: 24.9 ± 5.1 years, 15 men and six women). We applied a symbolic approach due to its ability to deal with very short RR sequences. The symbolic approach classified patterns formed by three RRs according to the sign and number of RR variations. Symbolic markers were compared to more classical time and frequency domain indexes. Comparison was extended to simulated signals to explicitly evaluate the suitability of methods to deal with short variability series. A surrogate test was applied to check the null hypothesis of random fluctuations. Over simulated data symbolic analysis was able to separate dynamics with different spectral profiles provided that the frame length was longer than 10 cardiac beats. Over real data the surrogate test indicated the presence of determinism in PRE, PLATEAU, and POST sequences. We found that the rate of patterns with two variations with unlike sign increased during PLATEAU and in POST sequences and the frequency of patterns with no variations remained unchanged during PLATEAU and decreased in POST compared to PRE sequences. Results indicated a sustained sympathetic control along with an early vagal reactivation during PLATEAU and a shift of the sympathovagal balance toward vagal predominance in POST compared to PRE sequences. Time and frequency domains markers were less powerful because they were dominated by the dramatic decrease of RR variance during PLATEAU.
DOI: 10.13145/bacdive131248.20201210.5
title: Aminobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.5897853
title: Symbolic Analysis of the Heart Rate Variability During the Plateau Phase Following Maximal Sprint Exercise.

description: Dataset from Storniolo JL, Cairo B, Porta A, Cavallari P. Symbolic Analysis of the Heart Rate Variability During the Plateau Phase Following Maximal Sprint Exercise. Front Physiol. 2021 Mar 23;12:632883. doi: 10.3389/fphys.2021.632883. PMID: 33833687; PMCID: PMC8021730. Cardiac autonomic control is commonly assessed <em>via</em> the analysis of fluctuations of the temporal distance between two consecutive R-waves (RR). Cardiac regulation assessment following high intensity physical exercise is difficult due to RR non-stationarities. The very short epoch following maximal sprint exercise when RR remains close to its lowest value, i.e., the PLATEAU, provides the opportunity to evaluate cardiac regulation from stationary RR sequences. The aim of the study is to evaluate cardiac autonomic control during PLATEAU phase following 60-m maximal sprint and compare the results to those derived from sequences featuring the same length as the PLATEAU and derived from pre-exercise and post-exercise periods. These sequences were referred to as PRE and POST sequences. RR series were recorded in 21 subjects (age: 24.9 ± 5.1 years, 15 men and six women). We applied a symbolic approach due to its ability to deal with very short RR sequences. The symbolic approach classified patterns formed by three RRs according to the sign and number of RR variations. Symbolic markers were compared to more classical time and frequency domain indexes. Comparison was extended to simulated signals to explicitly evaluate the suitability of methods to deal with short variability series. A surrogate test was applied to check the null hypothesis of random fluctuations. Over simulated data symbolic analysis was able to separate dynamics with different spectral profiles provided that the frame length was longer than 10 cardiac beats. Over real data the surrogate test indicated the presence of determinism in PRE, PLATEAU, and POST sequences. We found that the rate of patterns with two variations with unlike sign increased during PLATEAU and in POST sequences and the frequency of patterns with no variations remained unchanged during PLATEAU and decreased in POST compared to PRE sequences. Results indicated a sustained sympathetic control along with an early vagal reactivation during PLATEAU and a shift of the sympathovagal balance toward vagal predominance in POST compared to PRE sequences. Time and frequency domains markers were less powerful because they were dominated by the dramatic decrease of RR variance during PLATEAU.
DOI: 10.13145/bacdive131249.20201210.5
title: Bacteroides stercorirosoris Kitahara et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131250.20201210.5
title: Sphingomonas endophytica Huang et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131251.20201210.5
title: Thiofractor thiocaminus Makita et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131252.20201210.5
title: Cupriavidus alkaliphilus Estrada-de Los Santos et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131253.20201210.5
title: Microvirga lotononidis Ardley et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131254.20201210.5
title: Microvirga zambiensis Ardley et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131255.20201210.5
title: Vibrio alfacsensis Gomez-Gil et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131256.20201210.5
title: Chelatococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131257.20201210.5
title: Gordonia phosphorivorans Kämpfer et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131258.20201210.5
title: Natronoarchaeum philippinense Shimane et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131259.20201210.5
title: Fulvitalea axinellae Haber et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131260.20201210.5
title: Undibacterium terreum Liu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131261.20201210.5
title: Extensimonas vulgaris Zhang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131262.20201210.5
title: Sagittula marina Lee et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.14874490
title: Failure of chelator-provoked urine testing results to predict heavy metal toxicity in a prospective cohort of patients referred for medical toxicology evaluation

description: Provoked urine testing (PUT), involving chelating agent administration prior to measuring urine metal excretion levels, is used by some alternative health care practitioners to diagnose patients with heavy metal poisoning. Multiple medical societies have advised against this practice due to its presumed unreliability, expense, and lack of validation. However, no prospective study of the predictive value of PUT for heavy metal poisoning has been undertaken. This study utilized the Toxicology Consortium’s prospective case registry to evaluate the reliability of PUT for diagnosing heavy metal poisoning. Inclusion criteria were toxicology clinic patients with PUT results who were subsequently evaluated by a board-certified medical toxicologist and had a determination made regarding whether their signs and symptoms were likely related or unrelated to toxicologic exposures. The primary outcome was the positive predictive value of PUT for heavy metal toxicity as diagnosed by the evaluating medical toxicologist. Patients presenting to participating toxicology clinics without PUT served as a comparison group. 74 of 106 cases presenting with PUT results met inclusion criteria and were analyzed. 15 cases were determined by the examining toxicologist to be likely related to a toxicologic exposure. Only three cases were found to be related to heavy metal exposure, giving a positive predictive value of 4.3%. 20.2% of patients with PUT were found to have signs or symptoms related to any toxicologic exposure, compared to 14.3% of clinic patients without PUT. Demographics of toxicology clinic patients with and without PUT results were not significantly different except for age. Our results provide empiric support that PUT is an inaccurate predictor of a diagnosis of heavy metal poisoning by a board-certified medical toxicologist. Given the inability to properly interpret PUT results along with the increased cost burden and risk of false positives, PUT should not be performed.
DOI: 10.13145/bacdive131263.20201210.5
title: Vogesella fluminis Sheu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131264.20201210.5
title: Roseivirga pacifica (Huo et al. 2013) García-López et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.14874490.v1
title: Failure of chelator-provoked urine testing results to predict heavy metal toxicity in a prospective cohort of patients referred for medical toxicology evaluation

description: Provoked urine testing (PUT), involving chelating agent administration prior to measuring urine metal excretion levels, is used by some alternative health care practitioners to diagnose patients with heavy metal poisoning. Multiple medical societies have advised against this practice due to its presumed unreliability, expense, and lack of validation. However, no prospective study of the predictive value of PUT for heavy metal poisoning has been undertaken. This study utilized the Toxicology Consortium’s prospective case registry to evaluate the reliability of PUT for diagnosing heavy metal poisoning. Inclusion criteria were toxicology clinic patients with PUT results who were subsequently evaluated by a board-certified medical toxicologist and had a determination made regarding whether their signs and symptoms were likely related or unrelated to toxicologic exposures. The primary outcome was the positive predictive value of PUT for heavy metal toxicity as diagnosed by the evaluating medical toxicologist. Patients presenting to participating toxicology clinics without PUT served as a comparison group. 74 of 106 cases presenting with PUT results met inclusion criteria and were analyzed. 15 cases were determined by the examining toxicologist to be likely related to a toxicologic exposure. Only three cases were found to be related to heavy metal exposure, giving a positive predictive value of 4.3%. 20.2% of patients with PUT were found to have signs or symptoms related to any toxicologic exposure, compared to 14.3% of clinic patients without PUT. Demographics of toxicology clinic patients with and without PUT results were not significantly different except for age. Our results provide empiric support that PUT is an inaccurate predictor of a diagnosis of heavy metal poisoning by a board-certified medical toxicologist. Given the inability to properly interpret PUT results along with the increased cost burden and risk of false positives, PUT should not be performed.
DOI: 10.13145/bacdive131265.20201210.5
title: Altererythrobacter atlanticus Wu et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131266.20201210.5
title: Chitinophaga jiangningensis Wang et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.18112/openneuro.ds004007.v1.0.1
title: Music Event Segmentation
DOI: 10.18112/openneuro.ds004006.v1.0.1
title: Stat Learning
DOI: 10.13145/bacdive131267.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131268.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131269.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131270.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17028/rd.lboro.18975380.v1
title: Data for: Nitrogen deposition and prey nitrogen uptake control the nutrition of the carnivorous plant Drosera rotundifolia

description: Data for: Nitrogen deposition and prey nitrogen uptake control the nutrition of the carnivorous plant Drosera rotundifolia.<br>Data for carnivorous plant Drosera rotundifolia, Sphagnum and insects in ombrotrophic peat bogs accross Europe. Data are of plant nutrition (N,P,K),and stable isotope (delta15^N), plus calculated nitrogen derived from prey for D.rotundifolia plants.
DOI: 10.17028/rd.lboro.18975380
title: Data for: Nitrogen deposition and prey nitrogen uptake control the nutrition of the carnivorous plant Drosera rotundifolia

description: Data for: Nitrogen deposition and prey nitrogen uptake control the nutrition of the carnivorous plant Drosera rotundifolia.<br>Data for carnivorous plant Drosera rotundifolia, Sphagnum and insects in ombrotrophic peat bogs accross Europe. Data are of plant nutrition (N,P,K),and stable isotope (delta15^N), plus calculated nitrogen derived from prey for D.rotundifolia plants.
DOI: 10.13145/bacdive131271.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131272.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131273.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131274.20201210.5
title: Rhodopirellula sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131275.20201210.5
title: Streptomyces graminilatus Lee and Whang 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.17929721
title: Monarch infection data

description: Long-term dataset on North American monarch butterflies (<i>Danaus plexippus</i>) infection with the protozoan <i>Ophryocystis elektroscirrha</i> (OE) to accompany<b> Parasite dynamics in North American monarchs predicted by host density and seasonal migratory culling</b>by Ania A. Majewska<sup>1</sup>*, Andrew K. Davis<sup>2</sup>, Sonia Altizer<sup>2</sup>, and Jacobus C. de Roode<sup>1</sup> <b> </b> 1 Department of Biology, Emory University, Atlanta, GA, USA 2 Odum School of Ecology, University of Georgia, Athens, GA, USA
DOI: 10.6084/m9.figshare.17929721.v1
title: Monarch infection data

description: Long-term dataset on North American monarch butterflies (<i>Danaus plexippus</i>) infection with the protozoan <i>Ophryocystis elektroscirrha</i> (OE) to accompany<b> Parasite dynamics in North American monarchs predicted by host density and seasonal migratory culling</b>by Ania A. Majewska<sup>1</sup>*, Andrew K. Davis<sup>2</sup>, Sonia Altizer<sup>2</sup>, and Jacobus C. de Roode<sup>1</sup> <b> </b> 1 Department of Biology, Emory University, Atlanta, GA, USA 2 Odum School of Ecology, University of Georgia, Athens, GA, USA
DOI: 10.13145/bacdive131276.20201210.5
title: Photobacterium aquae Liu et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131277.20201210.5
title: Sphingobium xanthum Francis et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131278.20201210.5
title: Rhizorhabdus argentea Francis et al. 2014 emend. Kim et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131279.20201210.5
title: Ramlibacter solisilvae Lee et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131280.20201210.5
title: Sphingomonas oligoaromativorans Han et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131281.20201210.5
title: Streptomyces graminisoli Lee and Whang 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131282.20201210.5
title: Streptomyces rhizophilus Lee and Whang 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131283.20201210.5
title: Taibaiella chishuiensis Tan et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131284.20201210.5
title: Ancylobacter defluvii Poroshina et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131285.20201210.5
title: Rhizobium flavum Gu et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131286.20201210.5
title: Wenxinia saemankumensis Park et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131287.20201210.5
title: Thermanaerothrix daxensis Grégoire et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131288.20201210.5
title: Sphingomonas kyeonggiensis Son et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.