cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14280603.v1
title: [Meat quality of Label Rouge lineage chicken supplemented with biocomplexed minerals and reared in an alternative system]

description: ABSTRACT The objective of the present study was to evaluate the influence of the supplementation with biocomplexed minerals on the quality of the meat of label Rouge lineage chicken, of both genders, reared in an alternative system. The experimental design was completely randomized (CRD) in a factorial scheme (3x2), with three diets (control; 0.50ppm of selenium; 0.40ppm of chromium) and two genders. For lipid stability, the CRD arranged in a factorial scheme (3x2x2) was used, being three diets, two genders and two storage times (0 and 12 months). The parameters evaluated in the breast and in the thigh were: final pH, color (L* - luminosity, a* - red index, b* - yellow index, C* - saturation index and h* - tonality angle), weight loss per cooking (WLC), shear force (SF) and lipid stability. In addition, we evaluated the proportion of chemical forms of myoglobin of the thigh and the quantification of selenium content in the breast. There was no isolated effect of diet on the physical and chemical parameters of the breast and thigh and selenium concentration in the breast. Females had higher mean values of L* (57.57), b* (10.55) and C* (10.60) of the breast; and males of L* (55.09) of the thigh. Among males, poultry fed with the control diet and chromium showed higher SF values of the thigh than those supplemented with selenium; for the treatment with chromium, the males presented superior average of SF of the thigh and, in contrast, for the treatment with selenium, the females had the highest average. Samples submitted to the period of 12-month of storage showed higher values of substances reactive to thiobarbituric acid (TBARS) in both cuts. Supplementation with biocomplexed chromium and selenium did not cause changes in meat quality; females presented better attributes of meat quality.
DOI: 10.5281/zenodo.4632842
title: RESPOND Datasets

description: Public datasets of the RESPOND H2020 project (GA: 768619)
DOI: 10.5066/p9lh1b95
title: Geospatial data for Gumboot Lake extents from the report Effects of ground-water development on the water regimen of Paradise Valley, Humboldt County, Nevada, 1949-1968 and Hydrologic Reconnaissance of the Tributary Areas

description: This USGS data release consists of polygons representing Gumboot Lake extents from the report Effects of ground-water development on the water regimen of Paradise Valley, Humboldt County, Nevada, 1949-1968 and Hydrologic Reconnaissance of the Tributary Areas (Nevada Department of Conservation and Natural Resources Water Resources Bulletin 39). There are two datasets containing four different extents. The first dataset contains the approximate maximum extent Gumboot Lake extent as published on plate 1 of Bulletin 39. The second data set contains three approximate elevation-derived extents based on observations published in Bulletin 39: 1) based on 1952-1953 estimated lake elevation of 4,320 feet, 2) based on the estimated average lake area of 2,000 acres, and 3) based on estimated maximum lake area of 10,000 acres.
DOI: 10.21227/zjk3-dr53
title: Forecast for January 26

description: Forecast for January 26
DOI: 10.5281/zenodo.3941958
title: IODP Expedition 314, Hole C0006B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 314: NanTroSEIZE Stage 1 - LWD Transect
DOI: 10.5281/zenodo.3941957
title: IODP Expedition 314, Hole C0006B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 314: NanTroSEIZE Stage 1 - LWD Transect
DOI: 10.21227/snzz-rn72
title: forecast25Jan

description: a
DOI: 10.5282/ubm/data.220
title: Motor speech disorders in the nonfluent, semantic and logopenic variants of primary progressive aphasia. Supplementary data: Motor speech characterization per participant

description: The table contains information on the presence, type, and severity of a motor speech disorder (MSD) for each of the 160 included participants (37 lvPPA, 74 nfvPPA, 49 svPPA).
DOI: 10.5281/zenodo.3939576
title: IODP Expedition 335, Hole 1256D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 335: Superfast Spreading Rate Crust 4
DOI: 10.5281/zenodo.3939575
title: IODP Expedition 335, Hole 1256D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 335: Superfast Spreading Rate Crust 4
DOI: 10.5281/zenodo.3939458
title: IODP Expedition 309, Hole 1256D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 309: Superfast Spreading Crust 1
DOI: 10.5281/zenodo.3939486
title: IODP Expedition 312, Hole 1256D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 312: Superfast Spreading Crust 2
DOI: 10.5281/zenodo.3939485
title: IODP Expedition 312, Hole 1256D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 312: Superfast Spreading Crust 2
DOI: 10.5281/zenodo.3939438
title: IODP Expedition 308, Hole U1319B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939437
title: IODP Expedition 308, Hole U1319B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.6084/m9.figshare.14279740.v1
title: HEAT-APPLICATOR MACHINE FOR WEED CONTROL

description: ABSTRACT Pesticide environmental risks and increased weed resistance have encouraged studies for alternatives to herbicides. Among these are weed thermal control methods by controlled heat application machines. Thus, this study aimed to test a prototype of heat-applicator machine as a function of changes in gas pressure, travel speed, and tire traffic effect on plants. Then, three experimental factors were tested: gas pressure (98, 196, and 245 kPa), travel speed (0.56, 0.78, and 1.17 m s−1), and tire traffic effect on plants (with and without traffic). The results showed that tire traffic effect on plants and subsequent heat application had no effect on control rate. Weed control rates reached levels considered satisfactory using a heat application speed of 0.56 m s−1 associated with gas pressures of 245 or 196 kPa, as well as a heat application speed of 0.78 m s−1 associated with a gas pressure of 245 kPa. A total between 60.9 and 84.9 kg ha−1 liquefied petroleum gas was required for weed control of around 80%.
DOI: 10.6084/m9.figshare.14279728.v1
title: GROWTH OF ORNAMENTAL PEPPER IN COLORED CONTAINERS UNDER PROTECTED ENVIRONMENTS

description: ABSTRACT Ornamental pepper plants produced in containers under protected environments have high added value. We carried out research with an aim to evaluate the growth and development of ornamental pepper in containers of different colors under two protected environments, both with thermal-reflective screens under a polyethylene film: one with 18–22 % shading and the other with 42–50 % in colored containers (brown, blue, black, and red). The treatments formed by a 2 × 4 factorial (environments × container colors) were arranged in a completely random pattern with 4 replications and 5 plants per plot, and a joint analysis of experiments was used to compare environments. The protected environment covered with low-density polyethylene film having 42–50 % of shading promoted higher initial growth of pepper plants, including early maturity, compared to the protected environment with 18–22 % of shading. The colored containers, namely, the brown container in a protected environment with 42–50 % shading and red container with 18–22 % shading formed plants with better growth and yield characteristics compared to the black container. The seedlings in the blue container had delayed flowering.
DOI: 10.5281/zenodo.3939440
title: IODP Expedition 308, Hole U1320A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939439
title: IODP Expedition 308, Hole U1320A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939442
title: IODP Expedition 308, Hole U1320B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939441
title: IODP Expedition 308, Hole U1320B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939448
title: IODP Expedition 308, Hole U1321A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939447
title: IODP Expedition 308, Hole U1321A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939453
title: IODP Expedition 308, Hole U1322A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939452
title: IODP Expedition 308, Hole U1322A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3711581
title: Supraglacial debris thickness measurements from excavation pits at Suldenferner

description: This repository contains data on debris thickness measured by excavating through the debris to the ice underneath. Data were collected in three separate field campaigns on Suldenferner/Ghiacciaio de Solda, a small glacier in the Italian Alps, descending from Ortler. GLIMS ID: G010571E46495N. RGI ID: RGI60-11.01604. <strong>The files</strong> are as follows: Overview map of the locations of the pits excavated in each year SDF_hd_pits_locations.png Glacier outline from 2013 (Galos et al., 2015) Overlain on googlemaps basemap of 2020 Longitude and latitude in all data are in WGS 84 UTM 32N Excavations in 2014 SDF_hd_2014.csv n = 15 hd = 1 should be interpreted as dz &gt; 0.6m Excavations in 2015 SDF_hd_2015.csv n = 90 hd = 1 should be interpreted as dz &gt; 0.8m Excavations in 2018 SDF_hd_2018.csv n = 290 hd = 1 should be interpreted as dz &gt; 0.4m this dataset also contains additional data on % debris cover at sampled site <strong>The methodology </strong>was as follows: Latitude and longitude were recorded with a handheld Garmin GPS (horizontal accuracy recorded in 2015 was between 1-7m, with an average accuracy of +/- 3m) Pits were excavated with a shovel or pick until the ice was reached The debris thickness to the ice was measured as the distance to the ice from a horizontal reference placed on the unmodified surrounding surface bridging the excavation, with the reference in at least 2 orientations. Data is reported as the average of the measurements to the nearest 0.01m <strong>Thanks</strong> are due to the Gutgsell family at the Hintergrathütte for continued support of our research activities. Permission to work on Suldenferner is granted by Stelvio National Park. This research was funded by the Austrian Science Fund Grant numbers V309, P28521, and supported by a University of Cambridge undergraduate travel grant. The 2014 data was collected by Lindsey Nicholson and Anna Wirbel. The 2015 data was collected by Lindsey Nicholson, Anna Wirbel, Lukas Hammerer, Irmgard Juen. The 2018 data was collected by Karla Boxall and Naomi Lefroy.
DOI: 10.5281/zenodo.2424684
title: Daily images of Suldenferner

description: Photographs taken by an automatic camera overlooking the debris-covered part of Suldenferner, Ortler Group, Italy. Format: JPEG, provided in .zip format per year Filenames: numerical incrementing Camera model: Harbortronics Timelapse package F (https://www.harbortronics.com/Products/TimeLapsePackageF/) Camera location: 46°29'27.7"N / 10°35'53.7" E Timelapse video compiled from these photos at 2fps in .mp4 format. 2015 Partial year: 15 September – 31 December No position changes All images at ca.10:00 2016 Whole year No position changes All images at ca.10:00 2017 Whole year Camera position changes on 12/07 All images at ca.10:00 except 01 July and 05 August which are at 11:00 Image from 04/08 is missing 2018 Partial year: 01 January – 29 August (latest download) Camera position changes on 29/07 All images at ca.10:00
DOI: 10.5281/zenodo.3711580
title: Supraglacial debris thickness measurements from excavation pits at Suldenferner

description: This repository contains data on debris thickness measured by excavating through the debris to the ice underneath. Data were collected in three separate field campaigns on Suldenferner/Ghiacciaio de Solda, a small glacier in the Italian Alps, descending from Ortler. GLIMS ID: G010571E46495N. RGI ID: RGI60-11.01604. <strong>The files</strong> are as follows: Overview map of the locations of the pits excavated in each year SDF_hd_pits_locations.png Glacier outline from 2013 (Galos et al., 2015) Overlain on googlemaps basemap of 2020 Longitude and latitude in all data are in WGS 84 UTM 32N Excavations in 2014 SDF_hd_2014.csv n = 15 hd = 1 should be interpreted as dz &gt; 0.6m Excavations in 2015 SDF_hd_2015.csv n = 90 hd = 1 should be interpreted as dz &gt; 0.8m Excavations in 2018 SDF_hd_2018.csv n = 290 hd = 1 should be interpreted as dz &gt; 0.4m this dataset also contains additional data on % debris cover at sampled site <strong>The methodology </strong>was as follows: Latitude and longitude were recorded with a handheld Garmin GPS (horizontal accuracy recorded in 2015 was between 1-7m, with an average accuracy of +/- 3m) Pits were excavated with a shovel or pick until the ice was reached The debris thickness to the ice was measured as the distance to the ice from a horizontal reference placed on the unmodified surrounding surface bridging the excavation, with the reference in at least 2 orientations. Data is reported as the average of the measurements to the nearest 0.01m <strong>Thanks</strong> are due to the Gutgsell family at the Hintergrathütte for continued support of our research activities. Permission to work on Suldenferner is granted by Stelvio National Park. This research was funded by the Austrian Science Fund Grant numbers V309, P28521, and supported by a University of Cambridge undergraduate travel grant. The 2014 data was collected by Lindsey Nicholson and Anna Wirbel. The 2015 data was collected by Lindsey Nicholson, Anna Wirbel, Lukas Hammerer, Irmgard Juen. The 2018 data was collected by Karla Boxall and Naomi Lefroy.
DOI: 10.5281/zenodo.2424683
title: Daily images of Suldenferner

description: Photographs taken by an automatic camera overlooking the debris-covered part of Suldenferner, Ortler Group, Italy. Format: JPEG, provided in .zip format per year Filenames: numerical incrementing Camera model: Harbortronics Timelapse package F (https://www.harbortronics.com/Products/TimeLapsePackageF/) Camera location: 46°29'27.7"N / 10°35'53.7" E Timelapse video compiled from these photos at 2fps in .mp4 format. 2015 Partial year: 15 September – 31 December No position changes All images at ca.10:00 2016 Whole year No position changes All images at ca.10:00 2017 Whole year Camera position changes on 12/07 All images at ca.10:00 except 01 July and 05 August which are at 11:00 Image from 04/08 is missing 2018 Partial year: 01 January – 29 August (latest download) Camera position changes on 29/07 All images at ca.10:00
DOI: 10.5281/zenodo.1039841
title: Automatic camera images of Suldenferner 20150821 to 20150913

description: Photographs taken by an automatic camera overlooking the debris-covered part of Suldenferner, Ortler Group, Italy. Format: JPEG, provided in .zip format Filenames: numerical (0015 to 1502) Period covered: 21 August - 13th September 2015 Image interval: daily 03:27 then 15 minute increments until 18:42, timestamp in UTC Camera model: Harbortronics Timelapse package F (https://www.harbortronics.com/Products/TimeLapsePackageF/) Camera location: 46°29'27.7"N / 10°35'53.7" E Timelapse video compiled from these photos in .mp4 format.
DOI: 10.5281/zenodo.1039840
title: Automatic camera images of Suldenferner 20150821 to 20150913

description: Photographs taken by an automatic camera overlooking the debris-covered part of Suldenferner, Ortler Group, Italy. Format: JPEG, provided in .zip format Filenames: numerical (0015 to 1502) Period covered: 21 August - 13th September 2015 Image interval: daily 03:27 then 15 minute increments until 18:42, timestamp in UTC Camera model: Harbortronics Timelapse package F (https://www.harbortronics.com/Products/TimeLapsePackageF/) Camera location: 46°29'27.7"N / 10°35'53.7" E Timelapse video compiled from these photos in .mp4 format.
DOI: 10.5281/zenodo.3939455
title: IODP Expedition 308, Hole U1323A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology
DOI: 10.5281/zenodo.3939454
title: IODP Expedition 308, Hole U1323A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 308: Gulf of Mexico Hydrogeology