cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-6-821-18
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-19
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-20
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-21
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-22
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-23
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-24
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-25
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-26
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-27
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-28
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-29
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-30
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-31
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-32
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17632/fjg4zxckhm.1
title: Data for: Estimating RNA numbers in single cells by RNA fluorescent tagging and flow cytometry

description: Flow cytometry data on gene expression dynamics of RNA and corresponding proteins
DOI: 10.17171/1-6-821-1
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-33
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-34
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-35
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-36
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-37
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-38
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-39
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-40
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.5519/qd.e905doxi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17171/1-6-821-41
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-821-42
title: Image of steelyard 1475

description: Ancient Steelyards
DOI: 10.17171/1-6-822-2
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-3
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-4
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-5
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-6
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.34622/datarepositorium/uqvh0q/do4q2o
title: LibQual2014.pdf

description: Questionário
DOI: 10.34622/datarepositorium/uqvh0q/tkmzd0
title: LibQualDados2014.tab

description: Dados brutos
DOI: 10.17171/1-6-822-10
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-11
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-7
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-8
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-9
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-1
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-12
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-13
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-14
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17632/wyk56pkn73.1
title: Data for: Photosynthetic conversion of CO2 to hyaluronic acid by engineered cyanobacteria
DOI: 10.17171/1-6-822-15
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-16
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-17
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-18
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-19
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-20
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-21
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-22
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.7910/dvn/7icv6y/ftryjo
title: ReadMe.docx

description: :unav
DOI: 10.7910/dvn/7icv6y/hzocb1
title: 02_MainAnalysis.do

description: :unav
DOI: 10.7910/dvn/7icv6y/ivfcnz
title: 01_InsheetScannerData.do

description: :unav
DOI: 10.7910/dvn/7icv6y/myyiyn
title: 05_3StoreScannerAnalysis.do

description: :unav
DOI: 10.7910/dvn/7icv6y/xr7nou
title: 04_HazardModel.do

description: :unav
DOI: 10.17171/1-6-822-23
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.17171/1-6-822-24
title: Image of steelyard 1476

description: Ancient Steelyards
DOI: 10.7910/dvn/7icv6y/txb6zu
title: 03_SumStat.do

description: :unav
DOI: 10.5281/zenodo.3519364
title: Buffer screen by DSLS of C-HEAT and N-HEAT domains

description: Raw data and summary of results of DSLS data recorded for C-HEAT_2088-3144 (TOC019 C01), and constructs of the N-HEAT domain: N-HEAT_76-404 (TOC019 B02), N-HEAT_93-404 (TOC019 A03), N-HEAT_81-1643 (TOC019 B08), N-HEAT_76-1715 (TOC019 A08).
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.25386/genetics.9911312.v2
title: Supplemental Material for Savic et al., 2019

description: Appendices 1-6
DOI: 10.17632/frx57hkx36.1
title: Data for: Evaluation of BIM-based LCA results along the design process of a real building – Current limitations and proposals for future developments

description: This repository provides the Dynmo scripts for the parametric LCA tool for buildings described in the paper "Evaluation of BIM-based LCA results along the design process of a real building – Can it trigger sustainable design?"
DOI: 10.5066/p99cwidl
title: Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California

description: To support an investigation of the effectiveness of a large-scale river restoration project, several types of field data were collected from two gravel-bed reaches of the regulated lower Merced River in California's Central Valley, primarily in the fall of 2016. These data sets were intended to characterize salmon spawning habitat and identify factors influencing spawning site selection. This parent data release includes links to child pages for the following data sets: 1) Bulk samples of streambed sediment used to characterize the subsurface grain size distribution. 2) Pebble counts used to characterize the sediment grain size distribution of the bed surface. 3) Force gage measurements used to parameterize a force balance model for the initation of sediment motion and thus characterize bed mobility. 4) Measurements of saturated hydraulic conductivity used to characterize the permeability of the streambed. 5) Surveys of channel and floodplain topography used to characterize the morphology and parameterize a hydraulic model. 6) Mapped locations of salmon spawning activity used to characterize habitat use. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to evaluate the performance of a large-scale river restoration project on the lower Merced River.
DOI: 10.5281/zenodo.3519316
title: Trends and Emissions of Six Perfluorocarbons in the Northern and Southern Hemispheres

description: This is the data set that accompanies the research article submitted to the journal of Atmospheric Chemistry and Physics as a discussion paper on the 25th of October 2019, with the title: Trends and emissions of six perfluorocarbons in the Northern and Southern Hemisphere. Submitted by Elise S. Droste. <br> <br> Contact: e.droste@uea.ac.uk Authors: Elise S. Droste1, Karina E. Adcock1, Matthew J. Ashfold2, Charles Chou3, Zoë Fleming4,*, Paul<br> J. Fraser5, Lauren J. Gooch1, Andrew J. Hind1, Ray L. Langenfelds5, Emma Leedham Elvidge1,<br> Norfazrin Mohd Hanif1,6, Simon O’Doherty7, David E. Oram1,8, Chang-Feng Ou-Yang9, Marios Panagi4,<br> Claire E. Reeves1, William T. Sturges1, and Johannes C. Laube1,10 1Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK 2School of Environmental and Geographical Sciences, University of Nottingham Malaysia, 43500 Semenyih, Malaysia 3Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan 4National Centre for Atmospheric Science (NCAS), Department of Chemistry, University of Leicester, UK 5Commonwealth Scientific and Industrial Research Organisation, Oceans and Atmosphere, Climate Science Centre, Aspendale, Australia 6School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia 7Department of Chemistry, University of Bristol, Bristol, UK 8National Centre for Atmospheric Science, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK 9Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan 10Institute of Energy and Climate Research – Stratosphere (IEK-7), Forschungszentrum Jü lich GmbHJ, Jülich, Germany *now at Center for Climate and Resilience Research (CR2), University of Chile, Santiago, Chile
DOI: 10.5281/zenodo.3519317
title: Trends and Emissions of Six Perfluorocarbons in the Northern and Southern Hemispheres

description: This is the data set that accompanies the research article submitted to the journal of Atmospheric Chemistry and Physics as a discussion paper on the 25th of October 2019, with the title: Trends and emissions of six perfluorocarbons in the Northern and Southern Hemisphere. Submitted by Elise S. Droste. <br> <br> Contact: e.droste@uea.ac.uk Authors: Elise S. Droste1, Karina E. Adcock1, Matthew J. Ashfold2, Charles Chou3, Zoë Fleming4,*, Paul<br> J. Fraser5, Lauren J. Gooch1, Andrew J. Hind1, Ray L. Langenfelds5, Emma Leedham Elvidge1,<br> Norfazrin Mohd Hanif1,6, Simon O’Doherty7, David E. Oram1,8, Chang-Feng Ou-Yang9, Marios Panagi4,<br> Claire E. Reeves1, William T. Sturges1, and Johannes C. Laube1,10 1Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK 2School of Environmental and Geographical Sciences, University of Nottingham Malaysia, 43500 Semenyih, Malaysia 3Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan 4National Centre for Atmospheric Science (NCAS), Department of Chemistry, University of Leicester, UK 5Commonwealth Scientific and Industrial Research Organisation, Oceans and Atmosphere, Climate Science Centre, Aspendale, Australia 6School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia 7Department of Chemistry, University of Bristol, Bristol, UK 8National Centre for Atmospheric Science, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK 9Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan 10Institute of Energy and Climate Research – Stratosphere (IEK-7), Forschungszentrum Jü lich GmbHJ, Jülich, Germany *now at Center for Climate and Resilience Research (CR2), University of Chile, Santiago, Chile
DOI: 10.7910/dvn/jwrmaj/csebvv
title: Haz lo que Amas MDE Work Package 1.pdf

description: Quantitativereport
DOI: 10.3886/e115165v1
title: SISA/SISAL Dataset

description: This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika virus infection. They were recruited in Machala, Ecuador from 2013-2017. The collection details are available in: Stewart-Ibarra AM, Ryan SJ, Kenneson A, King CA, Abbott M, Barbachano-Guerrero A, et al. The Burden of Dengue Fever and Chikungunya in Southern Coastal Ecuador: Epidemiology, Clinical Presentation, and Phylogenetics from the First Two Years of a Prospective Study. Am J Trop Med Hyg. 2018;98: 1444–1459. doi:10.4269/ajtmh.17-0762
description: face-to-face interview~~record abstracts~~
description: Adult patients with acute febrile illness recruited to participate in a research study. Initial diagnosis was dengue, chikungunya, or Zika infection.
DOI: 10.3886/e115165
title: SISA/SISAL Dataset

description: This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika virus infection. They were recruited in Machala, Ecuador from 2013-2017. The collection details are available in: Stewart-Ibarra AM, Ryan SJ, Kenneson A, King CA, Abbott M, Barbachano-Guerrero A, et al. The Burden of Dengue Fever and Chikungunya in Southern Coastal Ecuador: Epidemiology, Clinical Presentation, and Phylogenetics from the First Two Years of a Prospective Study. Am J Trop Med Hyg. 2018;98: 1444–1459. doi:10.4269/ajtmh.17-0762<br><br>There are two datasets available: the full set of subjects (SISA) and a subset of subjects with available laboratory data (SISAL).
description: face-to-face interview~~record abstracts~~
description: Adult patients with acute febrile illness recruited to participate in a research study. Initial diagnosis was dengue, chikungunya, or Zika infection.
DOI: 10.21227/8hpt-3k60
title: PSP Student Assignment Data

description: This data set includes records of the student data, data descriptions, student demographic survey, class size from students to participated in the 10 program Personal Software Process course. This version of the course was delivered between 1995 and 2006. The data was collected by the Software Engineering Institute (SEI) from classes taught by SEI staff and class data submitted by authorized instructors. In this two course sequence (PSP for Engineers I & II), students learn a process-based approach to developing software, including how to measure and analyze personal software process (PSP), how to use process data to improve personal performance, and how to apply these methods to other structured tasks.All Students complete the same 10 assignments in the same order. They record data on estimated and actual effort, program size, and defects found during the development.The activities include Plan, Design, Design Review, Code, Code Review, Test, and Post mortem. The context of for the data is provided in the related links to the course, course exercises, and the PSP Body of Knowledge.
DOI: 10.21227/a5vb-cf02
title: PSP Student Assignment Data

description: This data set includes records of the student data, data descriptions, student demographic survey, class size from students to participated in the 10 program Personal Software Process course. This version of the course was delivered between 1995 and 2006. The data was collected by the Software Engineering Institute (SEI) from classes taught by SEI staff and class data submitted by authorized instructors. In this two course sequence (PSP for Engineers I & II), students learn a process-based approach to developing software, including how to measure and analyze personal software process (PSP), how to use process data to improve personal performance, and how to apply these methods to other structured tasks.All Students complete the same 10 assignments in the same order. They record data on estimated and actual effort, program size, and defects found during the development.The activities include Plan, Design, Design Review, Code, Code Review, Test, and Post mortem. The context of for the data is provided in the related links to the course, course exercises, and the PSP Body of Knowledge.
DOI: 10.3886/e115165v2
title: SISA/SISAL Dataset

description: This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika virus infection. They were recruited in Machala, Ecuador from 2013-2017. The collection details are available in: Stewart-Ibarra AM, Ryan SJ, Kenneson A, King CA, Abbott M, Barbachano-Guerrero A, et al. The Burden of Dengue Fever and Chikungunya in Southern Coastal Ecuador: Epidemiology, Clinical Presentation, and Phylogenetics from the First Two Years of a Prospective Study. Am J Trop Med Hyg. 2018;98: 1444–1459. doi:10.4269/ajtmh.17-0762<br><br>There are two datasets available: the full set of subjects (SISA) and a subset of subjects with available laboratory data (SISAL).
description: face-to-face interview~~record abstracts~~
description: Adult patients with acute febrile illness recruited to participate in a research study. Initial diagnosis was dengue, chikungunya, or Zika infection.
DOI: 10.5281/zenodo.3519352
title: weecology/portalPredictions 2019-10-25

description: Using various models to forecast abundances at Portal
DOI: 10.5281/zenodo.3519353
title: weecology/forecasts 2019-10-25

description: Archived forecasts for future analysis
DOI: 10.5519/qd.l8xb4pmv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (125 records)
DOI: 10.5519/qd.twbdx0gu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2367 records)
DOI: 10.6073/pasta/899e126420d530bf9da82ccc9f2bfe3d
title: BNS01 Nematodes density and composition in the Belowground Plot Experiment at Konza Prairie

description: The effects of burning, mowing, and nitrogen (N) and phosphorus (P) fertilization on the trophic structure of a tallgrass prairie nematode community were examined in a long-term field experiment established in 1986. Nematode densities and trophic composition were determined in October of 1987, 1989, and 1994 following 2, 4, and 9 years of treatment, respectively.
DOI: 10.21227/at2f-y793
title: PSP Student Assignment Data

description: This data set includes records of the student data, data descriptions, student demographic survey, class size from students to participated in the 10 program Personal Software Process course. This version of the course was delivered between 1995 and 2006. The data was collected by the Software Engineering Institute (SEI) from classes taught by SEI staff and class data submitted by authorized instructors. In this two course sequence (PSP for Engineers I & II), students learn a process-based approach to developing software, including how to measure and analyze personal software process (PSP), how to use process data to improve personal performance, and how to apply these methods to other structured tasks.All Students complete the same 10 assignments in the same order. They record data on estimated and actual effort, program size, and defects found during the development.The activities include Plan, Design, Design Review, Code, Code Review, Test, and Post mortem. The context of for the data is provided in the related links to the course, course exercises, and the PSP Body of Knowledge.
DOI: 10.6073/pasta/02aa35f94b5b219755356394a52462bb
title: BMS01 Mycorrhizae spore density and composition in the Belowground Plot Experiment at Konza Prairie

description: Spore densities of 14 groups (13 species + unknown) were measured the 64 belowground plots (record type 1). Effects of burning, mowing, and N + P additions on spore densities (an index of AM fungi infection rates). Community indices and percent root colonization (record type 2). Effects of burning, mowing, and N + P additions on mycorrhizal community composition and root colonization.
DOI: 10.17037/data.00001411
title: Incidence of maternal peripartum infection: a systematic review and meta-analysis

description: The study team searched eight databases for studies with data on frequency of maternal peripartum infection. Specific outcomes comprised chorioamnionitis in labour, puerperal endometritis, wound infection following caesarean section or perineal trauma, and sepsis occurring from onset of labour until 42 days postpartum. Extracted data included study characteristics; geographical location, "study extent" to reflect how nationally representative the study population might be, data collection methods, diagnostic methods, follow-up time and low-risk groups. These variables were used in meta-regression to explore their effect on incidence of infection.
DOI: 10.6073/pasta/6f0f46aa9b7bdd3d63fcc4a1b6084c99
title: EJR01 Foraging decisions underlying restricted space-use: effects of fire and forage maturation on large herbivore nutrient uptake on Konza Prairie

description: Recent models suggest that herbivores optimize nutrient intake by selecting patches of low to intermediate vegetation biomass. We assessed the application of this hypothesis to plains bison (Bison bison) in an experimental grassland managed with fire by estimating daily rates of nutrient intake in relation to grass biomass and by measuring patch selection in experimental watersheds in which grass biomass was manipulated by prescribed burning. Digestible crude protein content of grass declined linearly with increasing biomass, and the mean digestible protein content relative to grass biomass was greater in burned watersheds than watersheds not burned that spring (intercept; F1,251 = 50.57, P &lt; 0.0001). Linking these values to published functional response parameters, ad libitum protein intake, and protein expenditure parameters, Fryxell's (Am. Nat., 1991, 138, 478) model predicted that the daily rate of protein intake should be highest when bison feed in grasslands with 400 - 600 kg/ha. In burned grassland sites, where bison spend most of their time, availability of grass biomass ranged between 40 and 3650 kg/ha, bison selected foraging areas of roughly 690 kg/ha, close to the value for protein intake maximization predicted by the model. The seasonal net protein intake predicted for large grazers in this study suggest feeding in burned grassland can be more beneficial for nutrient uptake relative to unburned grassland as long as grass regrowth is possible. Foraging site selection for grass patches of low to intermediate biomass help explain patterns of uniform space use reported previously for large grazers in fire-prone systems. This data set was used to test the forage maturation hypothesis in the Konza Prairie bison enclosure from 2012-2013. Our objectives were to quantify foraging site selection of Plains bison in order to determine if bison in a fire-prone grassland selected sites of low-to-intermediate forage biomass as posited by Fryxell’s (1991) forage maturation hypothesis. Additionally, to understand how foraging patterns shifted when grass regrowth was not possible, we quantified the annual diet of four GPS - collared bison via stable isotope analysis of tail hair plucked during roundup.