cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12815555
title: Absorption spectra of chromatic acclimators grown in different light colors.

description: Fluorescence excitation spectra of <i>Synechococcus</i> A15-62, a chromatic acclimator that adjusts its PUB:PEB ratio. The spectra show excitation wavelengths absorbed by the cells and subsequently emitted by the phycobilisomes as fluorescence at 580 nm, when the cells are grown in blue light (blue line) or green light (green line). Absorption spectra of <i>Pseudanabaena</i> CCY9509, a chromatic acclimator that adjusts its PEB:PCB ratio. The absorption spectra are shown for cells acclimated to green light (green line), orange light (orange line), and midway during chromatic acclimation after a switch from green to orange light (black line). <br>Spectra in were measured in this study using methods described in Sanfilippo et al. (2019) and Stomp et al. (2008)<br>Datasets accompany <b>Extended Data Fig 3.</b>
DOI: 10.6084/m9.figshare.12815660
title: Absorption and fluorescence spectra of the main cyanobacterial pigments capture the spectral niches created by the harmonics of the water molecule

description: <br>Dataset accompanies <b>Fig. 3 </b>and <b>Extended Data Fig. 3.</b>
DOI: 10.6084/m9.figshare.12815675
title: Inherent optical properties of non-algal particles (NAP).

description: Absorption and scattering spectrum of NAP<br>Dataset accompanying <b>Extended Data Fig. 1.</b>
DOI: 10.6084/m9.figshare.12815675.v1
title: Inherent optical properties of non-algal particles (NAP).

description: Absorption and scattering spectrum of NAP<br>Dataset accompanying <b>Extended Data Fig. 1.</b>
DOI: 10.6084/m9.figshare.12815750.v1
title: Pure sea water absorption and scattering

description: Absorption coefficients in 250-550nm range are updated according to Mason et al. 2016. 250-550 nm: Mason et al. 2016. Appl. Optics 55(25), 7163-7172.555-725 nm: R.M. Pope and E.S. Fry, 1997. Appl. Optics 36(33), 8710-8723. 725-800 nm: R.C. Smith and K. Baker, 1981. Appl. Optics 20(2), 177-184.800-2000nm: D. Segelstein, 1981. "The Complex Refrac. Index of Water", M.S. Thesis, U. MissouriMeasured absorption data were spline fit and resampled to 5 nm resolution.Scattering coefs were computed from A. Morel, 1974. "Optical Aspects Oceanogr.," Chap 1 (L&WEq. 3.31)
DOI: 10.6084/m9.figshare.12815237
title: Measured irradiance spectra for aquatic ecosystems ranging from the clearest ocean waters to a hypertrophic lake.

description: Measured planar irradiance spectra at the euphotic depth in 7 different aquatic ecosystems. The spectra were obtained from (1) the South Pacific gyre (near Easter Island), (2) North Pacific gyre (station ALOHA north of Hawaii), (3) subtropical North Atlantic (Canary Islands), (4) temperate North Atlantic (west of Ireland), (5) Baltic Sea (near Gulf of Finland), (6) lake IJsselmeer (Netherlands) and (7) lake ‘t Joppe (Netherlands).<br>These datasets accompany <b>Extended Data Fig. 4. b</b>
DOI: 10.21227/d3n5-tx94
title: Supplemental Data to Submission Mattes et al. IEEE TMI 2020

description: The data uploaded here shall support the paperDecision Tree Analysis of ...which has been submitted to IEEE Transactions on Medical Imaging (2020, September 25) by the authorsJulian Mattes, Wolfgang Fenz, Stefan Thumfart, Gerhard Haitchi, Pierre Schmit, Franz A. FellnerDuring review the data shall only be visible for the reviewers of this paper. Afterwards this abstract will be modified and complemented and a dataset image will be uploaded.
DOI: 10.6084/m9.figshare.12554369
title: IMU data, sacrum, 4 horses, trot

description: This data set contains data from a sacrum mounted 6 degree of freedom inertial sensor from 4 horses in trot.Each data sheet contains the original acceleration, rate of turn and magnetic field data as well as integrated data following the method described in Pfau et al 2005. 10 different versions of the data set are contained in each Excel file: one sheet per sample rate. 100: original sample rate, 50, 45, 40,35, 30, 25, 20, 15, 10, 8: downsampled to 50 (45 ...) Hz (with built-in Matlab function taking into account anti-aliasing filters and then upsampled again to 100 Hz for the subsequent integration process (Pfau et al, 2005).Column headers:Acc_X, Acc_Y, Acc_Z: tri-axial acceleration in sensor reference frameGyr_X, Gyr_Y, Gyr_Z: tri-axial rate of turn data in sensor reference frameMag_X, Mag_Y, Mag_Z: tri-axial magentic field data in sensor reference frameRoll, Pitch, Yaw: Euler angles in world AccRotX, AccRotY, AccRotZ: acceleration rotated into horse based systemVeloRotX, VeloRotY, VeloRptZ: velocities integrated from rotated accelerationsDospRotX, DispRotY, DispRotZ: displacements integrated from rotated velocities<br><br>Pfau, T., Witte, T.H. and Wilson, A.M. (2005) A method for deriving displacement data during cyclical movement using an inertial sensor. <i>The Journal of experimental biology</i> <b>208</b>, 2503–2514.
DOI: 10.6084/m9.figshare.12554369.v2
title: IMU data, sacrum, 4 horses, trot

description: This data set contains data from a sacrum mounted 6 degree of freedom inertial sensor from 4 horses in trot.Each data sheet contains the original acceleration, rate of turn and magnetic field data as well as integrated data following the method described in Pfau et al 2005. 10 different versions of the data set are contained in each Excel file: one sheet per sample rate. 100: original sample rate, 50, 45, 40,35, 30, 25, 20, 15, 10, 8: downsampled to 50 (45 ...) Hz (with built-in Matlab function taking into account anti-aliasing filters and then upsampled again to 100 Hz for the subsequent integration process (Pfau et al, 2005).Column headers:Acc_X, Acc_Y, Acc_Z: tri-axial acceleration in sensor reference frameGyr_X, Gyr_Y, Gyr_Z: tri-axial rate of turn data in sensor reference frameMag_X, Mag_Y, Mag_Z: tri-axial magentic field data in sensor reference frameRoll, Pitch, Yaw: Euler angles in world AccRotX, AccRotY, AccRotZ: acceleration rotated into horse based systemVeloRotX, VeloRotY, VeloRptZ: velocities integrated from rotated accelerationsDospRotX, DispRotY, DispRotZ: displacements integrated from rotated velocities<br><br>Pfau, T., Witte, T.H. and Wilson, A.M. (2005) A method for deriving displacement data during cyclical movement using an inertial sensor. <i>The Journal of experimental biology</i> <b>208</b>, 2503–2514.
DOI: 10.6084/m9.figshare.12554369.v1
title: data

description: This data set contains data from a sacrum mounted 6 degree of freedom inertial sensor from 4 horses in trot.Each data sheet contains the original acceleration, rate of turn and magnetic field data as well as integrated data following the method described in Pfau et al 2005. 10 different versions of the data set are contained in each Excel file: one sheet per sample rate. 100: original sample rate, 50, 45, 40,35, 30, 25, 20, 15, 10, 8: downsampled to 50 (45 ...) Hz (with built-in Matlab function taking into account anti-aliasing filters and then upsampled again to 100 Hz for the subsequent integration process (Pfau et al, 2005).Column headers:Acc_X, Acc_Y, Acc_Z: tri-axial acceleration in sensor reference frameGyr_X, Gyr_Y, Gyr_Z: tri-axial rate of turn data in sensor reference frameMag_X, Mag_Y, Mag_Z: tri-axial magentic field data in sensor reference frameRoll, Pitch, Yaw: Euler angles in world AccRotX, AccRotY, AccRotZ: acceleration rotated into horse based systemVeloRotX, VeloRotY, VeloRptZ: velocities integrated from rotated accelerationsDospRotX, DispRotY, DispRotZ: displacements integrated from rotated velocities<br><br>Pfau, T., Witte, T.H. and Wilson, A.M. (2005) A method for deriving displacement data during cyclical movement using an inertial sensor. <i>The Journal of experimental biology</i> <b>208</b>, 2503–2514.
DOI: 10.5281/zenodo.4063805
title: ScientificReport_Munoz_FileofStructures_IXDM

description: This dataset contains files in .blend format and .stl format of the following crystal structures: Ullmanite, Cafarsite, Magnetite, Rhodizite and Diamond.
DOI: 10.5281/zenodo.4063804
title: ScientificReport_Munoz_FileofStructures_IXDM

description: This dataset contains files in .blend format and .stl format of the following crystal structures: Ullmanite, Cafarsite, Magnetite, Rhodizite and Diamond.
DOI: 10.5281/zenodo.4063821
title: Data set from Dalla Vecchia LA, Barbic F, De Maria B, Cozzolino D, Gatti R, Dipaola F, Brunetta E, Zamuner AR, Porta A, Furlan R. Can strenuous exercise harm the heart? Insights from a study of cardiovascular neural regulation in amateur triathletes. PLoS One. 2019 May 7;14(5):e0216567. doi: 10.1371/journal.pone.0216567. PMID: 31063482; PMCID: PMC6504093.

description: Data set from Dalla Vecchia LA, Barbic F, De Maria B, Cozzolino D, Gatti R, Dipaola F, Brunetta E, Zamuner AR, Porta A, Furlan R. Can strenuous exercise harm the heart? Insights from a study of cardiovascular neural regulation in amateur triathletes. PLoS One. 2019 May 7;14(5):e0216567. doi: 10.1371/journal.pone.0216567. PMID: 31063482; PMCID: PMC6504093 This is the abstract: Regular exercise is recommended to improve the cardiovascular risk profile. However, there is growing evidence that extreme volumes and intensity of long-term exertion may increase the risk of acute cardiac events. The aim of this study is to investigate the after-effects of regular, strenuous physical training on the cardiovascular neural regulation in a group of amateur triathletes compared to age-matched sedentary controls. We enrolled 11 non-elite triathletes (4 women, age 24±4 years), who had refrained from exercise for 72 hours, and 11 age-matched healthy non-athletes (3 women, age 25±2 years). Comprehensive echocardiographic and cardiopulmonary exercise tests were performed at baseline. Electrocardiogram, non-invasive blood pressure, respiratory activity, and muscle sympathetic nerve activity (MSNA) were continuously recorded in a supine position (REST) and during an incremental 15° step-wise head-up tilt test up to 75° (TILT). Blood samples were collected for determination of stress mediators. Autoregressive spectral analysis provided the indices of the cardiac sympathetic (LFRR) and vagal (HFRR) activity, the vascular sympathetic control (LFSAP), and the cardiac sympatho-vagal modulation (LF/HF). Compared to controls, triathletes were characterized by greater LFRR, LF/HF ratio, LFSAP, MSNA, and lower HFRR at REST and during TILT, i.e. greater overall cardiovascular sympathetic modulation together with lower cardiac vagal activity. Cortisol and adrenocorticotropic hormone concentrations were also higher in triathletes. In conclusion, triathletes were characterized by signs of sustained cardiovascular sympathetic overactivity. This might represent a risk factor for future cardiovascular events, given the known association between chronic excessive sympathetic activity and increased cardiovascular risk.
DOI: 10.5281/zenodo.4063820
title: Data set from Dalla Vecchia LA, Barbic F, De Maria B, Cozzolino D, Gatti R, Dipaola F, Brunetta E, Zamuner AR, Porta A, Furlan R. Can strenuous exercise harm the heart? Insights from a study of cardiovascular neural regulation in amateur triathletes. PLoS One. 2019 May 7;14(5):e0216567. doi: 10.1371/journal.pone.0216567. PMID: 31063482; PMCID: PMC6504093.

description: Data set from Dalla Vecchia LA, Barbic F, De Maria B, Cozzolino D, Gatti R, Dipaola F, Brunetta E, Zamuner AR, Porta A, Furlan R. Can strenuous exercise harm the heart? Insights from a study of cardiovascular neural regulation in amateur triathletes. PLoS One. 2019 May 7;14(5):e0216567. doi: 10.1371/journal.pone.0216567. PMID: 31063482; PMCID: PMC6504093 This is the abstract: Regular exercise is recommended to improve the cardiovascular risk profile. However, there is growing evidence that extreme volumes and intensity of long-term exertion may increase the risk of acute cardiac events. The aim of this study is to investigate the after-effects of regular, strenuous physical training on the cardiovascular neural regulation in a group of amateur triathletes compared to age-matched sedentary controls. We enrolled 11 non-elite triathletes (4 women, age 24±4 years), who had refrained from exercise for 72 hours, and 11 age-matched healthy non-athletes (3 women, age 25±2 years). Comprehensive echocardiographic and cardiopulmonary exercise tests were performed at baseline. Electrocardiogram, non-invasive blood pressure, respiratory activity, and muscle sympathetic nerve activity (MSNA) were continuously recorded in a supine position (REST) and during an incremental 15° step-wise head-up tilt test up to 75° (TILT). Blood samples were collected for determination of stress mediators. Autoregressive spectral analysis provided the indices of the cardiac sympathetic (LFRR) and vagal (HFRR) activity, the vascular sympathetic control (LFSAP), and the cardiac sympatho-vagal modulation (LF/HF). Compared to controls, triathletes were characterized by greater LFRR, LF/HF ratio, LFSAP, MSNA, and lower HFRR at REST and during TILT, i.e. greater overall cardiovascular sympathetic modulation together with lower cardiac vagal activity. Cortisol and adrenocorticotropic hormone concentrations were also higher in triathletes. In conclusion, triathletes were characterized by signs of sustained cardiovascular sympathetic overactivity. This might represent a risk factor for future cardiovascular events, given the known association between chronic excessive sympathetic activity and increased cardiovascular risk.
DOI: 10.6084/m9.figshare.13042595
title: Data for "Understorey removal effects on tree regeneration in temperate forests: a meta-analysis"

description: Data (.xlsx) used for the analyses in "Understorey removal effects on tree regeneration in temperate forests: a meta-analysis"
DOI: 10.6084/m9.figshare.13042616
title: data_article.zip

description: Database used for DIC analysis in Paraná, Brazil
DOI: 10.6084/m9.figshare.13042616.v2
title: data_article.zip

description: Database used for DIC analysis in Paraná, Brazil
DOI: 10.6084/m9.figshare.13042616.v1
title: data_article.zip

description: Database used for DIC analysis in Paraná, Brazil
DOI: 10.6084/m9.figshare.12967220
title: Polyandry Blocks Gene Drive in A Wild House Mouse Population

description: Containing A. data files (.txt) and B. scripts (.R) used in the manuscript:<br>Polyandry blocks gene drive in a wild house mouse populationAndri Manser, Barbara König, Anna Lindholm<br>A. Data files (.txt):--------------------------------------------<br>1. litters.txt | used in Figure 1, Supplementary Figure 3, Analysis 1LitterID [character]: Unique ID of the litteranimal [character]: Unique ID of the motherPolyandry [numeric]: 0 if monandrous, 1 if polyandrouslitterSize [numeric]: Number of offspring in the littergenotype [factor]: t genotype of the mother, t if +/t, w if +/+populationSize [numeric]: Population size at the time of birthtemperature [numeric]: Temperature at the time of birth<br>2. pedigree.txt | used in Figure 1, Analysis 1animal [character]: Unique ID of the animaldam [character]: Unique ID of the damsire [character]: Unique ID of the sire<br>3. males.txt | used in Figure 2, Analysis 2MaleID [character]: Unique ID of the malegenotype [factor]: t genotype of the male, t if +/t, w if +/+offspring [numeric]: overall number of offspring producedlitterNr [numeric]: number of littersspermCompetitors [numeric]: level of sperm competition<br>4. tFrequency.txt | used in Figure 3date [character]: Date when the litter was borntOffspring [numeric]: The number of +/t genotypes among offspringlitterSize [numeric]: The total number of offspring (littersize)<br>5. females.txt | used in Supplementary Figure 2, Analysis 4FemaleID [character]: Unique ID of the femalegenotype [factor]: t genotype of the female, t if +/t, w if +/+offspring [numeric]: overall number of offspring producedlitterNr [numeric]: number of littersmultipleMating [numeric]: propensity of polyandry as predicted by analysis 1 (BLUP)<br>6. demography.txt | used in Supplementary Figure 3date [character]: Date of population censusfemales [numeric]: Number of adult femalesmales [numeric]: Number of adult males<br>B. Scripts (.R):--------------------------------------------<br>1. Analysis1_Polyandry.R: Script that runs the first analysis (Measuring Polyandry)<br>2. Analysis2_Males.R: Script that runs the second analysis (The Impact of Polyandry on Male Fitness)<br>3. Analysis4_Females.R: Script that runs the fourth analysis (The Impact of Polyandry on Female Fitness)
DOI: 10.6084/m9.figshare.12967220.v2
title: Polyandry Blocks Gene Drive in A Wild House Mouse Population

description: Containing A. data files (.txt) and B. scripts (.R) used in the manuscript:<br>Polyandry blocks gene drive in a wild house mouse populationAndri Manser, Barbara König, Anna Lindholm<br>A. Data files (.txt):--------------------------------------------<br>1. litters.txt | used in Figure 1, Supplementary Figure 3, Analysis 1LitterID [character]: Unique ID of the litteranimal [character]: Unique ID of the motherPolyandry [numeric]: 0 if monandrous, 1 if polyandrouslitterSize [numeric]: Number of offspring in the littergenotype [factor]: t genotype of the mother, t if +/t, w if +/+populationSize [numeric]: Population size at the time of birthtemperature [numeric]: Temperature at the time of birth<br>2. pedigree.txt | used in Figure 1, Analysis 1animal [character]: Unique ID of the animaldam [character]: Unique ID of the damsire [character]: Unique ID of the sire<br>3. males.txt | used in Figure 2, Analysis 2MaleID [character]: Unique ID of the malegenotype [factor]: t genotype of the male, t if +/t, w if +/+offspring [numeric]: overall number of offspring producedlitterNr [numeric]: number of littersspermCompetitors [numeric]: level of sperm competition<br>4. tFrequency.txt | used in Figure 3date [character]: Date when the litter was borntOffspring [numeric]: The number of +/t genotypes among offspringlitterSize [numeric]: The total number of offspring (littersize)<br>5. females.txt | used in Supplementary Figure 2, Analysis 4FemaleID [character]: Unique ID of the femalegenotype [factor]: t genotype of the female, t if +/t, w if +/+offspring [numeric]: overall number of offspring producedlitterNr [numeric]: number of littersmultipleMating [numeric]: propensity of polyandry as predicted by analysis 1 (BLUP)<br>6. demography.txt | used in Supplementary Figure 3date [character]: Date of population censusfemales [numeric]: Number of adult femalesmales [numeric]: Number of adult males<br>B. Scripts (.R):--------------------------------------------<br>1. Analysis1_Polyandry.R: Script that runs the first analysis (Measuring Polyandry)<br>2. Analysis2_Males.R: Script that runs the second analysis (The Impact of Polyandry on Male Fitness)<br>3. Analysis4_Females.R: Script that runs the fourth analysis (The Impact of Polyandry on Female Fitness)
DOI: 10.6073/pasta/b520131b742abedb864455ab9458f196
title: Porewater nutrient concentrations from control plots at a Typha sp. dominated brackish marsh on the Upper Parker River, Plum Island Ecosystem LTER, MA.

description: Porewater samples from a Typha sp.-dominated brackish marsh on the Upper Parker River in the Plum Island Ecosystem (PIE) LTER site were analyzed for ammonium, phosphate, sulfide and chloride concentrations.
DOI: 10.5281/zenodo.4063742
title: Information-Domain Analysis of Cardiovascular Complexity: Night and Day Modulations of Entropy and the Effects of Hypertension

description: The raw data for reproducing figures 6, 7 and 8 of the paper DOI: 10.3390/e21060550
DOI: 10.5281/zenodo.4063741
title: Information-Domain Analysis of Cardiovascular Complexity: Night and Day Modulations of Entropy and the Effects of Hypertension

description: The raw data for reproducing figures 6, 7 and 8 of the paper DOI: 10.3390/e21060550
DOI: 10.5281/zenodo.4063853
title: Data set from Ranucci M, de Vincentiis C, Menicanti L, La Rovere MT, Pistuddi V. A gender-based analysis of the obesity paradox in cardiac surgery: height for women, weight for men? Eur J Cardiothorac Surg. 2019 Jul 1;56(1):72-78. doi: 10.1093/ejcts/ezy454. PMID: 30657927.

description: Data set from Ranucci M, de Vincentiis C, Menicanti L, La Rovere MT, Pistuddi V. A gender-based analysis of the obesity paradox in cardiac surgery: height for women, weight for men? Eur J Cardiothorac Surg. 2019 Jul 1;56(1):72-78. doi: 10.1093/ejcts/ezy454. PMID: 30657927. This is the abstract: <strong>Objectives: </strong> In cardiac surgery, obesity is associated with a lower mortality risk. This study aims to investigate the association between body mass index (BMI) and operative mortality separately in female patients and male patients undergoing cardiac surgery and to separate the effects of weight and height in each gender-based cohort of patients. <strong>Methods: </strong> A retrospective cohort study including 7939 consecutive patients who underwent cardiac surgery was conducted. The outcome measure was the operative mortality. <strong>Results: </strong> In men, there was a U-shaped relationship between the BMI and the operative mortality, with the lower mortality rate at a BMI of 35 kg/m2. In women, the relationship is J-shaped, with the lower mortality at a BMI of 22 kg/m2. Female patients with obesity class II-III had a relative risk for operative mortality of 2.6 [95% confidence interval (CI) 1.37-4.81, P = 0.002]. The relationship between weight and mortality rate is a U-shaped bot in men and women, with the lower mortality rate at 100 kg for men and 70 kg for women. Height was linearly and inversely associated with the operative mortality in men and women. After correction for the potential confounders, height, but not weight, was independently associated with operative mortality in women (odds ratio 0.949, 95% CI 0.915-0.983; P = 0.004); conversely, in men, this association exists for weight (odds ratio 1.017, 95% CI 1.001-1.032; P = 0.034), but not height. <strong>Conclusions: </strong> Contrary to men, in women obesity does not reduce the operative mortality in cardiac surgery, whereas the height seems to be associated with a lower mortality.