cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14469/hpc/2260
title: IRC_Bromine_Tosyl_iso1 (IRC)

description: Gaussian Calculation
DOI: 10.14469/hpc/2263
title: IRC_B_Tosyl_1 (IRC)

description: Gaussian Calculation
DOI: 10.14469/hpc/2271
title: 423K_S_indole_TS_2

description: Gaussian Calculation
DOI: 10.14469/hpc/2272
title: 423K_S_indole_TS_2

description: Gaussian Calculation
DOI: 10.14469/hpc/2273
title: 423K_S_indole_TS_2

description: Gaussian Calculation
DOI: 10.14469/hpc/2274
title: P_Tosyl_isoTS_4 (opt ts freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2275
title: Xiii_Reactant_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2278
title: Xiv_Product_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2279
title: P_Tosyl_isoTS_5 (opt ts freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2284
title: G_SO2py_Reactant_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2286
title: isoG_SO2py_Reactant_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2257
title: IRC_Fluorine_Tosyl_iso1 (IRC)

description: Gaussian Calculation
DOI: 10.14469/hpc/2261
title: IRC_isoEa_1 (IRC)

description: Gaussian Calculation
DOI: 10.14469/hpc/2270
title: 423K_S_indole_TS_2

description: Gaussian Calculation
DOI: 10.14469/hpc/2280
title: Xiii_Product_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2259
title: IRC_Fluorine_Tosyl_1 (IRC)

description: Gaussian Calculation
DOI: 10.14469/hpc/2276
title: Xiv_Reactant_1 (opt fre)

description: Gaussian Calculation
DOI: 10.14469/hpc/2283
title: G_SO2py_Product_1 (opt freq)

description: Gaussian Calculation
DOI: 10.18739/a2b37z
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland
DOI: 10.21223/p3/bvbcd6
title: Replication Data for: Marando Bora Decentralised Vine Multiplier Study (Tanzania)

description: The implementation of the large- scale planting material dissemination component, “Marando Bora” (better vines) aimed to develop and test cost effective sweetpotato variety distribution models at scale. Marando Bora had a target of reaching 150,000 farmers with quality planting material of existing local and improved varieties which will contribute to strengthened food security. The survey of decentralised vine multipliers (DVMs) was conducted as part of the Marando Bora project end line survey. The objectives of the DVM module were to: determine use of different technologies which had been promoted by the project; obtain feedback on varieties preferred by the DVMs and their clients; and feedback on participation in the pilot Quality Declared Planting Material (QDPM) inspection scheme. Finally, we sought to understand what vine multiplication activities the DVMs were continuing after the end of the project, and their reasons for continuing or not continuing vine multiplication. Key variables include: DVM location, type (individual, group), current multiplication practice, technologies (irrigation, rapid multiplication techniques, fertiliser), experience with seed inspection. All 89 DVMs were interviewed by one data collector, February-March 2013. Data was entered in MS Excel.
DOI: 10.5066/f7q23xfz
title: Data for the estimation of growth dynamics for Pomacea maculata from hatchling to adult, 10/10/13 to 9/25/15

description: Snail weights and lengths for an apple snail growth study. Large snails were individually weighed to the 100th of a gram and measured to 10th of a mm. Smaller snails were weighed in groups of variable number and then the average weight of the snails in the group recorded. Age of the snails is from hatching data.
DOI: 10.5066/f7vh5m1b
title: Differential Optical Absorption Spectroscopy data acquired at Sabancaya Volcano (Peru) on 21 May 2016

description: On 21 May 2016, two Differential Optical Absorption Spectroscopy (DOAS) instruments were used to measure the radiance of scattered solar radiation passing through the plume emitted from Sabancaya Volcano, Peru. Spectra were recorded in the ultraviolet (UV: 280 425 nm) and visible (Vis: 450 780 nm) wavelength ranges at 0.6 and 1.2 nm resolution, respectively. Two distinct experiments were performed using different measurement geometries. In the first experiment, two zenith-looking telescopes were mounted on a vehicle, each coupling scattered sunlight into one of the two DOAS spectrometers. The vehicle traversed beneath Sabancayas volcanic plume between 16:43 to 17:39 UTC collecting 2075 UV spectra and an equal number of Vis spectra. In the second experiment, a scanner was used to scan the spectrometers viewing direction through the volcanic plume. The scanner was located at -15.824N, -71.843E and aimed at the north-eastern horizon. It scanned the spectrometers viewing direction from 4 to 82 degrees elevation in steps of 3 degrees. The plume was encountered at about 20 degrees elevation. The scanner was held at each position for about 5 seconds during which both UV and Vis spectra where acquired. The plume scans ran from 19:11 to 21:11 UTC and 702 spectra were recorded in both the UV and Vis spectral ranges. All recorded spectra were stamped with GPS time and location. Each spectrum is saved in a separate ASCII file which includes the 2048 radiances recorded across the spectral window of the respective spectrometer along with metadata associated with each acquisition.
DOI: 10.14469/hpc/2253
title: Fluorine_Tosyl_Reactant_iso1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2268
title: 423K_S_indole_TS_2

description: Gaussian Calculation
DOI: 10.14469/hpc/2277
title: Xiv_Product_1 (opt freq) not lowest E

description: Gaussian Calculation
DOI: 10.14469/hpc/2281
title: O_Tosyl_TS_3 (opt ts freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2285
title: isoG_SO2py_Product_1 (opt freq)

description: Gaussian Calculation
DOI: 10.14469/hpc/2287
title: Y(R)_Reactant_4 (opt freq iop not cartesian)

description: Gaussian Calculation
DOI: 10.21223/p3/fhuvf9
title: Dataset for: Stability analysis for yield on 40 native potato cultivars

description: Breeding efforts for enriching potato tubers with more Zn and Fe are in progress at the International Potato Center (CIP). Knowledge of genotype by environment interaction effects on the micronutrient concentrations of different genotypes is needed to identify cultivars that show high and stable concentrations and to inform breeding and selection schemes. Stability analysis for micronutrient content has been applied to biofortification and varietal dissemination strategies.Forty native potato cultivars were evaluated to: assess the magnitude and nature of Genotype (G), Environment (E), and GxE interaction. Tubers were taken from plots grown in randomized complete block designs with three replications of one hill per plot in each of 6 sites of the central Peruvian Andes in 2010: Ccasapata (3765 m.a.s.l); Sotopampa (3754 m.a.s.l); Ccollpaccasa (4067 m.a.s.l); Conayca (4178 m.a.s.l), la Victoria (3265 m.a.s.l) and Rangra (3323 m.a.s.l). Well-matured tubers were harvested at 150 and 180 days. Statistical analyses were performed using SAS software (SAS. 2003). ANOVA was performed using combined data for all environments. The Additive Main Effects and Multiplicative Interaction model (AMMI) was used for studying Genotype X Enviroment interaction, examining genotypic yield stability and adaptation (Crossa et al., 2002).
DOI: 10.21223/p3/niz8ag
title: Dataset for: Stability analysis for nutritional contents (Vitamin C) on 40 native potato cultivars

description: Breeding efforts for enriching potato tubers with more Zn and Fe are in progress at the International Potato Center (CIP). Knowledge of genotype by environment interaction effects on the micronutrient concentrations of different genotypes is needed to identify cultivars that show high and stable concentrations and to inform breeding and selection schemes. Stability analysis for micronutrient content has been applied to biofortification and varietal dissemination strategies. Forty native potato cultivars were evaluated to: assess the magnitude and nature of Genotype (G), Environment (E), and GxE interaction effects for Vitamin C (Ascorbic Acid) in the tropical highlands of Peru and study the contribution of soil fertility to the micronutrient content of potato tubers. Tubers were taken from plots grown in randomized complete block designs with three replications of one hill per plot in each of 6 sites of the central Peruvian Andes in 2010: Ccasapata (3765 m.a.s.l); Sotopampa (3754 m.a.s.l); Ccollpaccasa (4067 m.a.s.l); Conayca (4178 m.a.s.l), la Victoria (3265 m.a.s.l) and Rangra (3323 m.a.s.l). Well-matured tubers were harvested at 150 and 180 days. Samples were prepared and analysed for ascorbic acid concentrations (AA) by the spectrophotometric method of Egoville (Burgos et al., 2009). Statistical analyses were performed using SAS software (SAS. 2003). ANOVA was performed using combined data for all environments. The Additive Main Effects and Multiplicative Interaction model (AMMI) was used for studying Genotype X Enviroment interaction, examining genotypic yield stability and adaptation (Crossa et al., 2002).
DOI: 10.21223/p3/sxeedi
title: Highly Interactive Data Analysis Platform (HIDAP) software - Open source tool for breeding

description: The software HIDAP supports clonal crop breeders at the International Potato Center (CIP). HIDAP stands for ‘Highly Interactive Data Analysis Platform’. It is part of on-going in-house efforts to unify best practices. The practices include data collection, data quality and data analysis in clonal crop breeding. Furthermore, HIDAP builds on the former in-house tools DataCollector (DC) and CloneSelector (CS). These tools supported potato and sweetpotato breeding, respectively. HIDAP improves on prior features like data quality checks. It adds new features to support open access. The new features include linkage with corporate and community databases. They include CIP-BioMart and Sweetpotatobase, the latter via the Breeding API (BrAPI). HIDAP is part of The Global Trial Data Management System suite of tools at CIP. HIDAP was developed by the Genetics, Genomic and Crop Improvement Sciences Division (GGCI) and the Research Informatics Unit (RIU) from CIP.
DOI: 10.21223/p3/svhucg
title: Dataset for: Stability analysis for nutritional contents (minerals) on 40 native potato cultivars

description: Breeding efforts for enriching potato tubers with more Zn and Fe are in progress at the International Potato Center (CIP). Knowledge of genotype by environment interaction effects on the micronutrient concentrations of different genotypes is needed to identify cultivars that show high and stable concentrations and to inform breeding and selection schemes. Stability analysis for micronutrient content has been applied to biofortification and varietal dissemination strategies. Forty native potato cultivars were evaluated to: assess the magnitude and nature of Genotype (G), Environment (E), and GxE interaction effects for Zn and Fe concentrations in the tropical highlands of Peru and study the contribution of soil fertility to the micronutrient content of potato tubers. Tubers were taken from plots grown in randomized complete block designs with three replications of one hill per plot in each of 6 sites of the central Peruvian Andes in 2010: Ccasapata (3765 m.a.s.l); Sotopampa (3754 m.a.s.l); Ccollpaccasa (4067 m.a.s.l); Conayca (4178 m.a.s.l), la Victoria (3265 m.a.s.l) and Rangra (3323 m.a.s.l). Well-matured tubers were harvested at 150 and 180 days. Samples were prepared and analysed for Fe and Zn by inductively coupled plasma-optical emission spectrophotometry (ICP-OES) using an ARL 3580B ICP (ARL, Switzerland) (Burgos et al., 2007). Statistical analyses were performed using SAS software (SAS. 2003). ANOVA was performed using combined data for all environments. The Additive Main Effects and Multiplicative Interaction model (AMMI) was used for studying Genotype X Enviroment interaction, examining genotypic yield stability and adaptation (Crossa et al., 2002).
DOI: 10.4119/unibi/2909053
title: The ontogeny of personality in the wild guinea pig
DOI: 10.5066/f79s1p8k
title: Modeled 2030 land cover for the Northern Glaciated Plains ecoregion

description: Land use and land cover (LULC) change occurs at a local level within contiguous ownership and management units (parcels), yet LULC models primarily use pixel-based spatial frameworks. The few parcel-based models being used overwhelmingly focus on small geographic areas, limiting the ability to assess LULC change impacts at regional to national scales. We developed a modified version of the Forecasting Scenarios of land-use change (FORE-SCE) model to project parcel-based agricultural change across the Northern Great Plains ecoregion of the Great Plains of the United States. A scenario representing an agricultural biofuel scenario was modeled from 2012 to 2030, using parcel data to represent real, contiguous ownership and land management units. The resulting LULC projection provides a vastly improved representation of landscape pattern over existing pixel-based models, while simultaneously providing an unprecedented combination of thematic detail and broad geographic extent. These data represent 50 individual Monte Carlo runs for the 2012 to 2030 biofuel scenario in the Northern Glaciated Plains ecoregion. Each of the 50 individual runs represents one model realization of the scenario, with uncertainty parameters factored in. Each individual run is thus unique. A combination of the 50 individual runs can be used to assess relative probability of land-use class membership for each pixel in the modeled ecoregion.
DOI: 10.4119/unibi/2909051
title: Data for Domestication effects on behavioural traits and learning performance: comparing wild cavies to guinea pigs
DOI: 10.14469/hpc/2295
title: 3,3',4,4'-Tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 14a

description: Complete NMR data for selected compound 14a.
DOI: 10.5066/f7gt5kc3
title: Pelican Island and Pass La Mer to Chaland Pass restoration (BA-38): Chaland Island (2005, 2007) and Pelican Island (2011, 2013) habitat classifications

description: The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2005, 2007, 2011, and 2013. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification is performed on specific CWPPRA sites to help assess landscape changes. The intended use of this data set is to provide information to aid efforts in the conservation, restoration, creation and enhancement of Louisiana's coastal wetlands in order to aid in long-term solutions to these and other problems.
DOI: 10.14469/hpc/2296
title: 3,3',4,4'-Tetrahydro-1H,1'H-2,2'-spirobi[benzo[h]quinoline] â 14b

description: Complete NMR data for14b.
DOI: 10.14469/hpc/2304
title: 1,4,10,11,12,13-hexahydro-[1,3]diazepinodiquinoline - 29

description: Crystallographic data in CIF format + original image data collected from diffractometer.
DOI: 10.14469/hpc/2305
title: 3,3',4,4'-Tetrahydro-1H,1'H-2,2'-spirobi[[1,10]phenanthroline] â 14c

description: Complete NMR data for selected compound 14c
DOI: 10.14469/hpc/2306
title: 8,8'-Dimethyl-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 14d

description: Complete NMR data for selected compound 14d
DOI: 10.14469/hpc/2307
title: 7,7'-Bis(trifluoromethyl)-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 14e

description: Complete NMR data for selected compound 14e
DOI: 10.14469/hpc/2308
title: 7,7'-Dimethoxy-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 14f

description: Complete NMR data for selected compound 14f
DOI: 10.14469/hpc/2309
title: 6,6'-Dichloro-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 14g

description: Complete NMR data for selected compound 14g
DOI: 10.14469/hpc/2310
title: 5,5a,6,7,7a,8,13,14-Octahydrocyclopenta[1,2-b-1,5-b']diquinoline - 18

description: Complete NMR data for selected compound 18
DOI: 10.14469/hpc/2311
title: 5a,6,7,8,8a,9,14,15-Octahydro-5H-quinolino[3,2-d]acridine - 19

description: Complete NMR data for selected compound 19
DOI: 10.14469/hpc/2312
title: 3,3',4,4'-Tetrahydro-1H,1'H-spiro[benzo[h]quinoline-2,2'-quinoline] - 20

description: Complete NMR data for selected compound 20
DOI: 10.14469/hpc/2313
title: 7'-(Trifluoromethyl)-3,3',4,4'-tetrahydro-1H,1'H-spiro[benzo[h]quinoline-2,2'-quinoline] - 21

description: Complete NMR data for selected compound 21
DOI: 10.14469/hpc/2314
title: 6,6',8,8'-Tetrabromo-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 22b

description: Complete NMR data for selected compound 22b
DOI: 10.14469/hpc/2315
title: 6,6',8,8'-Tetraphenyl-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 23

description: Complete NMR data for selected compound 23
DOI: 10.14469/hpc/2317
title: 1,1'-Dimethyl-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 24a

description: Complete NMR data for selected compound 24a
DOI: 10.14469/hpc/2318
title: 1,1'-Diallyl-3,3',4,4'-tetrahydro-1H,1'H-2,2'-spirobi[quinoline] â 24b

description: Complete NMR data for selected compound 24b
DOI: 10.14469/hpc/2319
title: 1,4,10,11,12,13-Hexahydro-[1,3]diazepino[1,2-a-3,2-a']diquinoline - 25

description: Complete NMR data for selected compound 25
DOI: 10.18739/a2696d
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland
DOI: 10.18739/a21m3t
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland
DOI: 10.18739/a25d64
title: Ceilometer Cloud Base Height Measurements at Summit Station, Greenland
DOI: 10.5066/f73b5xbj
title: National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Scores and Disturbance Indices for Alaska Linked to HUC 12 Watersheds of the Watershed Boundary Dataset
DOI: 10.5066/f73r0r24
title: Community-level riparian plant traits, Colorado River, Grand Canyon, 2013-2015Data

description: These data were compiled based on field observations and available literature. Field observations of plant cover were made in September and October of 2013 and 2014, while trait measurements were made in September and October of 2014 and 2015. Field data was collected on sandbars along the Colorado River through Grand Canyon between river miles 0 and 226. Field measurements of specific leaf area, stem specific gravity, and total cover. Plant height was taken from the Flora of North America, the Jepson Desert Manual, or A Utah Flora. Seed mass values were available from the Kew Seed Information Database (http://data.kew.org/sid/). Photosynthetic pathway was compiled from published literature. The trait values were converted to a community-level value using two matrices: a matrix of the relative species cover (species cover/total cover) and a matrix of the average trait value for each species. These two matrices were multiplied, and then summed over all species in each plot to produce a community-level trait value for each plot. Inundation was calculated as the yearly average of the number of hours for each plot that the river stage, based on stage-discharge relationships, was greater than the surveyed plot elevation using USGS streamflow data. This exceedance probability was calculated as the probability that stage height will exceed plot height for the 2013 survey plots based on the 1984 - 2013 USGS streamflow record. The purpose of these data are to examine how plant cover varies by hydrology, how community-level traits vary across a hydrologic gradient, and how community-level traits are intercorrelated. These data are associated with the journal manuscript: McCoy-Sulentic, M.E., Kolb, T.E., Merritt, D.M., Palmquist, E., Ralston, B.E., Sarr, D.A., and Shafroth, P.B., 2017, Changes in community-level riparain plant traits over inundation gradients, Colorado River, Grand Canyon: Wetlands, v. (online), doi: 10.1007/s13157-017-0895-3, http://dx.doi.org/10.1007/s13157-017-0895-3.
DOI: 10.5066/f7q23xdh
title: National Fish Habitat Partnership (NFHP) 2015 Anthropogenic Disturbance Data for Southeast Alaska linked to the modified NHD with catchments

description: This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments of Southeast Alaska. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment scale include measures of anthropogenic land uses, population density, roads, dams, mines, culverts, 303d listed waterbodies, railroads, pipelines, airports, and point-source pollution sites. In this data set, variable summaries are linked to catchments developed for the National Hydrography Dataset using the COMID identifier. Catchment attributes are available for both local catchments (defined as the land area draining directly to a reach; attributes begin with L_ prefix) and network catchments (defined by all upstream contributing catchments to the reachs outlet, including the reachs own local catchment; attributes begin with N_ prefix). Spatial data can be downloaded at https://doi.org/10.5066/F7TT4P4X. This version of the data (v1.1) addresses an issue detected in the pipeline and railroad variables found in Version 1. Updated values are documented in the file change_log.csv.
DOI: 10.5066/f7td9vfs
title: Temperature data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia

description: A combination of long-term daily temperature records and depth to bedrock measurements were used to parameterize one-dimensional models of shallow aquifer vertical heat transport in Shenandoah National Park, VA, USA. Spatially discontinuous roving water surface and bank temperatures surveys were performed with a handheld thermal infrared camera in September and December 2015 along the main channel of a headwater stream supporting coldwater-dependent brook trout (Salvelinus fontinalis). We also installed vertical arrays of thermal data loggers to estimate bulk thermal diffusivity of the saturated alluvium at two stations in the upper trout section. The methods are fully documented in the associated journal article, Briggs, M.A., J.W. Lane, C.D. Snyder, E. White, Z.C. Johnson, D.L. Nelms, and N.P. Hitt, 2017, Shallow mountain bedrock limits seepage-based headwater climate refugia, Limnologica, http://dx.doi.org/10.1016/j.limno.2017.02.005. This Data Release includes temperature measurements collected as part of the study. The directory RAW_DATA contains the measured temperature time series at streambed, stream, and air locations as described in the local read.me file. The OUTPUT directory contains the processed temperature time series and VFLUX2 calculations of thermal diffusivity (Ke) from streambed data, and annual temp signal amplitude/phase lag from stream/air data are listed.