cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16798196.v1
title: A complete proteomic profile of human and bovine milk exosomes by liquid chromatography mass spectrometry

description: The present study investigates the proteomic content of milk-derived exosomes. A detailed description of the content of milk exosomes is essential to improve our understanding of the various components of milk and their role in nutrition. The exosomes used in this study were isolated as previously described and characterized by their morphology, particle concentration, and the presence of exosomal markers. Human and bovine milk exosomes were evaluated using Information-Dependent Acquisition (IDA) Mass Spectrometry. A direct comparison is made between their proteomic profiles. IDA analyses revealed similarities and differences in protein content. About 229 and 239 proteins were identified in the human and bovine milk exosome proteome, respectively, of which 176 and 186 were unique to each species. Fifty-three proteins were common in both groups. These included proteins associated with specific biological processes and molecular functions. Most notably, the 4 abundant milk proteins lactadherin, butyrophilin, perilipin-2, and xanthine dehydrogenase/oxidase were present in the top 20 list for both human and bovine milk exosomes. The milk exosome protein profiles we have provided are crucial new information for the field of infant nutrition. They provide new insight into the components of milk from both humans and bovines.
DOI: 10.6084/m9.figshare.16862509
title: CAD.csv

description: coronary angiography reports
DOI: 10.6084/m9.figshare.16862521
title: Supplementary Material – Senna (Leguminosae-Caesalpinioideae) in Minas Gerais state, Brazil

description: <b>Table S1 – </b>Species of <i>Senna</i> from Minas Gerais, habits, state and biome distribution in Brazil, respectively.<br><br>(see Original Paper: http://dx.doi.org/10.1590/2175-7860202172104)
DOI: 10.6084/m9.figshare.16862521.v1
title: Supplementary Material – Senna (Leguminosae-Caesalpinioideae) in Minas Gerais state, Brazil

description: <b>Table S1 – </b>Species of <i>Senna</i> from Minas Gerais, habits, state and biome distribution in Brazil, respectively.<br><br>(see Original Paper: http://dx.doi.org/10.1590/2175-7860202172104)
DOI: 10.5281/zenodo.5593457
title: MEaSUREs ITS_LIVE Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities: Version 2 (Greenland Sample Products)

description: We provide 21 sample products of MEaSUREs ITS_LIVE Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities: Version 2 in three test regions of Greenland Ice Sheet. The full archive of version 2 ITS_LIVE products (including image pair maps, data cubes and mosaics) from Sentinel-1 as well as other optical sensors (Landsat-4/5/6/7/8 and Sentinel-2) can be found at the ITS_LIVE project website: https://its-live.jpl.nasa.gov. <strong>Sensor</strong>: Sentinel-1A/B <strong>Processor</strong>: ISCEv2.4.1 (topsApp -&gt; Geogridv1.4.0 -&gt; autoRIFTv1.4.0) <strong>Project</strong>: NASA MEaSUREs project ITS_LIVE <strong>Region 1</strong> (69.13N, 50.88W; Jakobshavn Isbræ Glacier): 7 ascending image pairs <strong>Region 2</strong> (77.61N, 42.79W; central north of interior Greenland): 3 ascending image pairs <strong>Region 3</strong> (72.48N, 35.87W; central south of interior Greenland): 10 descending image pairs and 1 ascending image pair This serves as a supplementary dataset for the companion journal article submitted to Earth System Science Data (to appear). <strong>Acknowledgement</strong>: This effort was funded by the NASA MEaSUREs program in contribution to the Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project (https://its-live.jpl.nasa.gov/) and through Alex Gardner’s participation in the NASA NISAR Science Team.
DOI: 10.25346/s6/yqq17b/flekbn
title: south_terrace1.tfw
DOI: 10.25346/s6/yqq17b/iguctc
title: south_terrace1.tif.xml
DOI: 10.25346/s6/yqq17b/lkumfr
title: south_terrace1.tif.ovr
DOI: 10.25346/s6/yqq17b/ibwghx
title: south_terrace1.tif.aux.xml
DOI: 10.25346/s6/yqq17b/pcq3pi
title: south_terrace1.tif
DOI: 10.5281/zenodo.5593746
title: one-datum: Cross matches

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.5281/zenodo.5593745
title: one-datum: Cross matches

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.5281/zenodo.5593748
title: one-datum: Results

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.5281/zenodo.5593747
title: one-datum: Results

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.5281/zenodo.5593750
title: one-datum: Figures

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.5281/zenodo.5593749
title: one-datum: Figures

description: What can we infer about an orbit from just the Gaia RV jitter?<br> More info at: one-datum/pipeline
DOI: 10.25346/s6/ceoaux/h1qnib
title: incised_terrace.tif.ovr
DOI: 10.25346/s6/ceoaux/jqafkm
title: incised_terrace.tif.aux.xml
DOI: 10.25346/s6/ceoaux/qn9o83
title: incised_terrace.tif.xml
DOI: 10.25346/s6/ceoaux/lpxgci
title: incised_terrace.tif
DOI: 10.25346/s6/ceoaux/qj9cnb
title: incised_terrace.tfw
DOI: 10.17632/gm45z8wpry.3
title: A multispecies BCO2 beak color polymorphism  in the Darwin’s finch radiation

description: Data associated with Enbody, Erik (2021), “A multispecies BCO2 beak color polymorphism  in the Darwin’s finch radiation." In this manuscript, we identify the genetic basis of a carotenoid-based beak polymorphism in Darwin's finches. Enclosed are three spreadsheets and a zip file containing the identifiers and metadata relating to the individuals used in that analysis. One file contains all individuals sequenced using whole-genome, low coverage, sequencing. Another includes individuals analyzed using a TaqMan analysis targeting the SNP of interest identified (see text). One spreadsheet details the samples used in the RNAseq analysis. A file, labeled Figure4_plot_data.zip, includes the data suitable for regenerating the data and analysis presented in Figure 4.
DOI: 10.17632/rjjjsv8krf.1
title: 2021_DT_Ae(Tptm)

description: Research data support for Group 2 Tptm work, including NMR, IR, CHN and XRD analyses.
DOI: 10.5281/zenodo.5593770
title: Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons---Enclosed datasets

description: This repository holds datasets appearing in the manuscript "Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons" Submitted to the Research Topic: Exomoons and Exorings: the Next Frontier in Exoplanets of the journal Frontiers in Astronomy and Space Sciences. Contains WIYN Hydra data of HD 80606 and HD80607 and Keck I HIRES data of Io's neutral clouds.
DOI: 10.5281/zenodo.5593769
title: Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons---Enclosed datasets

description: This repository holds datasets appearing in the manuscript "Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons" Submitted to the Research Topic: Exomoons and Exorings: the Next Frontier in Exoplanets of the journal Frontiers in Astronomy and Space Sciences. Contains WIYN Hydra data of HD 80606 and HD80607 and Keck I HIRES data of Io's neutral clouds.
DOI: 10.6084/m9.figshare.16862299
title: MATLAB figures and data for the article "Columnar processing of border ownership in primate visual cortex"

description: MATLAB figures and data for the article "Columnar processing of border ownership in primate visual cortex"
DOI: 10.6084/m9.figshare.16567470
title: Slip model of 2020 Simeonof M7.8 Earthquake

description: FourCornerCoordinateofSubfaults: The file records the fault geometry we used in inversion. Every raw indicates one subfault<br>Simeonof_slip_model_2020: This file records slip we invert at the geometry center of every subfault. <br>slip.grd: slip model grid format<br><br>
DOI: 10.6084/m9.figshare.16782700.v8
title: Forb-pollinator relationship in Nam Vien parks (Ho Chi Minh city, Vietnam)

description: This data is part of a field experiment done in BIOL 3250 (Experimental Design) - a course of York University, Canada. Read attached metadata for more information regarding methodology.
DOI: 10.6084/m9.figshare.16807204.v1
title: Experimental design for field experiment

description: Balcony birdwatching, Backyard Bioblitz and Solo Surveys experiments were conducted as a pilot experiment to determine an experiment for deeper dive for further analysis.
DOI: 10.6084/m9.figshare.16807204
title: Experimental design for field experiment

description: Balcony birdwatching, Backyard Bioblitz and Solo Surveys experiments were conducted as a pilot experiment to determine an experiment for deeper dive for further analysis.
DOI: 10.6084/m9.figshare.16807204.v3
title: Experimental design for field experiment

description: Balcony birdwatching, Backyard Bioblitz and Solo Surveys experiments were conducted as a pilot experiment to determine an experiment for deeper dive for further analysis.
DOI: 10.6084/m9.figshare.16807204.v2
title: Experimental design for field experiment

description: Balcony birdwatching, Backyard Bioblitz and Solo Surveys experiments were conducted as a pilot experiment to determine an experiment for deeper dive for further analysis.
DOI: 10.5281/zenodo.5592462
title: Mangrove standing dead wood for the Vanga Blue Forest project

description: Vanga Blue Forest Project is a community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected in a monitoring activity in 2021 using the measuring protocols by Kauffman and Donato (2012). The forest Vanga follows a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided. The data provides date, location details and measured forest variables. www.aces-org.co.uk GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya. Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.
DOI: 10.5281/zenodo.5592461
title: Mangrove standing dead wood for the Vanga Blue Forest project

description: Vanga Blue Forest Project is a community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected in a monitoring activity in 2021 using the measuring protocols by Kauffman and Donato (2012). The forest Vanga follows a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided. The data provides date, location details and measured forest variables. www.aces-org.co.uk GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya. Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.
DOI: 10.5281/zenodo.5593778
title: Mangrove standing dead wood data for the Mikoko Pamoja project

description: Mikoko Pamoja Project is a pioneering community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected as part of the monitoring activity in 2020 using the measuring protocols by Kauffman and Donato (2012). Gazi mangrove forest has a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided. The data provides date, location details and measured forest variables. www.aces-org.co.uk GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya. Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.
DOI: 10.5281/zenodo.5593777
title: Mangrove standing dead wood data for the Mikoko Pamoja project

description: Mikoko Pamoja Project is a pioneering community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected as part of the monitoring activity in 2020 using the measuring protocols by Kauffman and Donato (2012). Gazi mangrove forest has a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided. The data provides date, location details and measured forest variables. www.aces-org.co.uk GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya. Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.
DOI: 10.6084/m9.figshare.14844069
title: Global gridded maps of cropland-N2O emission factors and mitigation potentials

description: <b>Global gridded maps of cropland-N2O emission factors and mitigation potentials</b><b><br></b> <b>Citation:</b> Cui, X.; <b>Zhou, F.</b>*; Ciais, P.; Davidson, E. A.; Tubiello, F. N.; Niu, X.; Ju, X.; Canadell, J. G.; Bouwman, A. F.; Jackson, R. B.; Mueller, N. D.; Zheng, X.; Kanter, D.; Tian, H.; Adalibieke, W.; Bo, Y.; Wang, Q.; Zhan, X.; Zhu, D., Global hotspots of nitrous oxide mitigation potential in cropland. <i>Nature Food</i>. 2021, https://doi.org/10.1038/s43016-021-00384-9<br> <b> </b> <b>Contact:</b> Direct questions, additional information regarding publications and research by email to zhouf@pku.edu.cn. <b><br> Data Products:</b> 1. Global gridded maps of N<sub>2</sub>O EF by crop (including means and 95% CI) 2. Global gridded maps of N<sub>2</sub>O mitigation potential by crop (including means and 95% CI)<br> <b>License:</b> Creative Commons Attribution 4.0 International Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at zhouf@pku.edu.cn.
DOI: 10.5281/zenodo.5581452
title: NeuCA Shiny App sc-RNA Training Data

description: Data to train classifiers for NeuCA shiny app.
DOI: 10.5281/zenodo.5581451
title: NeuCA Shiny App sc-RNA Training Data

description: Data to train classifiers for NeuCA shiny app.
DOI: 10.6084/m9.figshare.16862651.v1
title: Additional file 1 of Predictors of aortic clamp time duration and intensive care unit length of stay in elective adult cardiac surgery

description: Additional file 1. Detailed statistical analysis of demographic, clinical and intra-operative factors contributing to the duration of aortic cross-clamp time and post-operative intensive care unit length of stay.
DOI: 10.6084/m9.figshare.16862654.v1
title: Additional file 2 of Predictors of aortic clamp time duration and intensive care unit length of stay in elective adult cardiac surgery

description: Additional file 2. De-identified patients’ data including demographics, co-morbidities, European System for Cardiac Operative Risk Evaluation (EuroSCORE) II, surgical characteristics and intensive care unit time (ICUT)
DOI: 10.6084/m9.figshare.16862651
title: Additional file 1 of Predictors of aortic clamp time duration and intensive care unit length of stay in elective adult cardiac surgery

description: Additional file 1. Detailed statistical analysis of demographic, clinical and intra-operative factors contributing to the duration of aortic cross-clamp time and post-operative intensive care unit length of stay.
DOI: 10.6084/m9.figshare.16862657
title: Additional file 1 of Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

description: Additional file 1: Table 7.a. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cross Sectional Studies. Dialysis§. Table 7.b. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cohort Studies. Dialysis§. Table 7.c. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cross Sectional studies. Pre- and Post-transplant§. Table 7.d. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE (NOS-score) for Cohort Studies. Pre- and Post-transplant§. Figure 2. a. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Non-diabetic or Diabetic. b. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Educational level more than high school or high school or less. c. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Dialysis type: HD or PD. d. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Gender: Male or Female. Figure 3. a. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Gender: Male or Female. b. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Educational Level; More Than High School or High School or Less. c. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Living donor kidney or deceased donor. d. Forest Plot of Comparison: Predictors for post-transplant employment.
DOI: 10.6084/m9.figshare.16862657.v1
title: Additional file 1 of Employment of patients with kidney failure treated with dialysis or kidney transplantation—a systematic review and meta-analysis

description: Additional file 1: Table 7.a. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cross Sectional Studies. Dialysis§. Table 7.b. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cohort Studies. Dialysis§. Table 7.c. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE, NOS-score for Cross Sectional studies. Pre- and Post-transplant§. Table 7.d. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE (NOS-score) for Cohort Studies. Pre- and Post-transplant§. Figure 2. a. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Non-diabetic or Diabetic. b. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Educational level more than high school or high school or less. c. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Dialysis type: HD or PD. d. Forest Plot of Comparison: Predictors for employment during dialysis. Outcome: Gender: Male or Female. Figure 3. a. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Gender: Male or Female. b. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Educational Level; More Than High School or High School or Less. c. Forest Plot of Comparison: Predictors for post-transplant employment. Outcome: Living donor kidney or deceased donor. d. Forest Plot of Comparison: Predictors for post-transplant employment.
DOI: 10.6084/m9.figshare.16862668
title: Additional file 1 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 1: Supplementary Table 1. List of rice diverse panels (Panel I and II) evaluated in the study.
DOI: 10.6084/m9.figshare.16862668.v1
title: Additional file 1 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 1: Supplementary Table 1. List of rice diverse panels (Panel I and II) evaluated in the study.
DOI: 10.6084/m9.figshare.16862674
title: Additional file 2 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 2: Supplementary Table 2. Correlation of phenological, physiological traits with yield under water stress in trial 1.
DOI: 10.6084/m9.figshare.16862674.v1
title: Additional file 2 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 2: Supplementary Table 2. Correlation of phenological, physiological traits with yield under water stress in trial 1.
DOI: 10.6084/m9.figshare.16862677
title: Additional file 3 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 3: Supplementary Table 3. Correlation of phenological, physiological traits with yield under water stress in trial 2.
DOI: 10.6084/m9.figshare.16862680
title: Additional file 4 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 4: Supplementary Table 4. Correlation among morpho-physiological and root traits measured under rainfed condition in trial 3.
DOI: 10.6084/m9.figshare.16862680.v1
title: Additional file 4 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 4: Supplementary Table 4. Correlation among morpho-physiological and root traits measured under rainfed condition in trial 3.
DOI: 10.6084/m9.figshare.16862677.v1
title: Additional file 3 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 3: Supplementary Table 3. Correlation of phenological, physiological traits with yield under water stress in trial 2.
DOI: 10.6084/m9.figshare.16862683
title: Additional file 5 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 5: Supplementary Table 5. Marker-trait association identified with GLM analysis in diverse panel I phenotypic data measured under water stress.
DOI: 10.6084/m9.figshare.16862686.v1
title: Additional file 6 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 6: Supplementary Table 6. Marker-trait association identified with GLM analysis in diverse panel II phenotypic data measured under water stress.
DOI: 10.6084/m9.figshare.16862683.v1
title: Additional file 5 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 5: Supplementary Table 5. Marker-trait association identified with GLM analysis in diverse panel I phenotypic data measured under water stress.
DOI: 10.6084/m9.figshare.16862686
title: Additional file 6 of Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces

description: Additional file 6: Supplementary Table 6. Marker-trait association identified with GLM analysis in diverse panel II phenotypic data measured under water stress.