cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5676/dwd_gpcc/mp_m_v6_250
title: GPCC Monitoring Product Version 6.0 at 2.5°: Near Real-Time Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP and CLIMAT Data
title: Gridded Monthly Totals

description: This is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 2.5° x 1.0° latitude by longitude. Interpolation is made on the anomalies from the GPCC Climatology V2018 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2018_250). The temporal coverage of the dataset ranges from January 1982 until the month for which GTS data (SYNOP and CLIMAT) is available, i.e. 2 months after end of the analysis month due. The GPCC Monitoring Product is the in situ component to the satellite-gauge combined precipitation analyses of the Global Precipitation Climatology Product (GPCP) and the CPC Merged Analysis of Precipitation (CMAP). Moreover it supports regional climate monitoring and serves the land-surface complement to the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set. This GPCC product is recommended to be used for applications requesting high quality gridded monthly precipitation analyses in near real-time. GPCC Monitoring Product (GPCC_MP) users should carefully take into account the number of stations available for a specific analysis grid in a specific month.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.7910/dvn/bsungb/21ihju
title: first pilot - Daily Diary 7 - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/iayvol
title: daily1.tab
DOI: 10.7910/dvn/bsungb/icsv7d
title: second pilot - emotional abilities test - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/iiona1
title: first pilot - Daily Diaries 1 to 6 - Qualtrics questionnaire PDF version.pdf
DOI: 10.7910/dvn/bsungb/rk5rnf
title: daily2.tab
DOI: 10.7910/dvn/bsungb/wvt5da
title: first pilot - Daily Diaries 1 to 6 - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/xjjx3l
title: third pilot - cognitive abilities test - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/yecxcc
title: daily4.tab
DOI: 10.7910/dvn/bsungb/4nnxk4
title: fourth pilot - self-insight into emotional abilities and life satisfaction - questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/99rzmf
title: third pilot - cognitive abilities test - Qualtrics questionnaire PDF version.pdf
DOI: 10.7910/dvn/bsungb/cyppfu
title: fourth pilot - self-insight into emotional abilities and life satisfaction - code for analysis.R
DOI: 10.7910/dvn/bsungb/draq8x
title: first pilot - Daily DIary 7 - Qualtrics questionnaire PDF version.pdf
DOI: 10.7910/dvn/bsungb/mgqdsu
title: third pilot - cognitive abilities test - code for analysis.R
DOI: 10.7910/dvn/bsungb/qut7zl
title: second pilot - emotional abilities test - Qualtrics questionnaire PDF version.pdf
DOI: 10.7910/dvn/bsungb/uldvqx
title: second pilot - emotional abilities test - code for analysis.R
DOI: 10.4226/95/5b30998822de9
title: 3D meshes data for Raptor talon shape and biomechanics

description: 3D digital models reconstructed from CT scans of museum specimens. All specimens are located in Australian Museum, Sydney. Aegypius monachus is located at BSPG Museum in Munich, Germany.
DOI: 10.6073/pasta/1801a20dfd614cd66de9f4b3e97690f2
title: Five Points Plant Isotopic Values for Carbon and Nitrogen

description: To quantify foraging strategies in the small mammal community of the
  Sevilleta National Wildlife Refuge, plant samples were collected at
  green-up (generally March for forbs and July for grasses), and when
  going to seed (generally May for forbs and October for grasses).
  Plants were analyzed for C:N ratio, delta15N and delta13C isotopic
  values and for carbon and nitrogen percent content by mass in both
  leaf and seed. These isotopic values can be compared to mouse plasma
  values to determine forage width (Carbon) and forage breadth
  (Nitrogen). Please see Sevilleta Dataset 313 on small mammal plasma to
  quantify resource preferences within and between small mammal
  communities.
DOI: 10.7910/dvn/bsungb/hsicod
title: second pilot - emotional abilities test - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/mkc2hr
title: first pilot - Daily Diary 7 - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/y6tjt9
title: first pilot - Daily Diaries 1 to 6 - Qualtrics questionnaire WORD version.docx
DOI: 10.7910/dvn/bsungb/ih03gg
title: third pilot - cognitive abilities test - Qualtrics questionnaire WORD version.docx
DOI: 10.14272/ufkrtewfeywihd-uhfffaoysa-n
title: N-(4-cyanophenyl)acetamide
title: InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12)

description: This dataset contains experimental data from a sample (N-(4-cyanophenyl)acetamide, InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12)).
      The datasets from the following experiments are included:
      
      13C NMR
      
      1H NMR
      
      Mass
      
      IR
DOI: 10.14272/ufkrtewfeywihd-uhfffaoysa-n/13cnmr
title: 13C NMR (N-(4-cyanophenyl)acetamide, InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12))

description: dataset for 13C NMR
DOI: 10.14272/ufkrtewfeywihd-uhfffaoysa-n/1hnmr
title: 1H NMR (N-(4-cyanophenyl)acetamide, InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12))

description: dataset for 1H NMR
DOI: 10.14272/hfayqhihibtmbi-uhfffaoysa-n
title: N-(3,5-dimethylphenyl)acetamide
title: InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12)

description: This dataset contains experimental data from a sample (N-(3,5-dimethylphenyl)acetamide, InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12)).
      The datasets from the following experiments are included:
      
      1H NMR
      
      13C NMR
      
      Mass
      
      IR
DOI: 10.14272/hfayqhihibtmbi-uhfffaoysa-n/13cnmr
title: 13C NMR (N-(3,5-dimethylphenyl)acetamide, InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12))

description: dataset for 13C NMR
DOI: 10.14272/hfayqhihibtmbi-uhfffaoysa-n/1hnmr
title: 1H NMR (N-(3,5-dimethylphenyl)acetamide, InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12))

description: dataset for 1H NMR
DOI: 10.14272/ufkrtewfeywihd-uhfffaoysa-n/ir
title: IR (N-(4-cyanophenyl)acetamide, InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12))

description: dataset for IR
DOI: 10.14272/ufkrtewfeywihd-uhfffaoysa-n/mass
title: Mass (N-(4-cyanophenyl)acetamide, InChI=1S/C9H8N2O/c1-7(12)11-9-4-2-8(6-10)3-5-9/h2-5H,1H3,(H,11,12))

description: dataset for Mass
DOI: 10.15151/esrf-es-47877949
title: Nanoscopic Metal Composition of Phagosomal Compartments during Engulfment of E. coli by Professional Phagocytes.
DOI: 10.14272/hfayqhihibtmbi-uhfffaoysa-n/ir
title: IR (N-(3,5-dimethylphenyl)acetamide, InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12))

description: dataset for IR
DOI: 10.14272/hfayqhihibtmbi-uhfffaoysa-n/mass
title: Mass (N-(3,5-dimethylphenyl)acetamide, InChI=1S/C10H13NO/c1-7-4-8(2)6-10(5-7)11-9(3)12/h4-6H,1-3H3,(H,11,12))

description: dataset for Mass
DOI: 10.6073/pasta/98f635d4504e3ba7162a39806bfcf796
title: Five Points Small Mammal Blood Plasma Isotopic Values for Carbon, Nitrogen and Hydrogen

description: There has been little comprehensive research undertaken to quantify
  resource use by small mammal communities in a nutrient limited, highly
  stochastic ecosystem. The most abundant small mammals in this
  ecosystem are Heteromyids, food-caching granivores, and Cricetids,
  omnivores that must utilize on board fat stores as energy reserves.
  Heteromyid populations co-vary with primary production whereas the
  cricetids can forage at multiple trophic levels reducing their
  dependence on primary productivity. Using isotopic values for Carbon,
  delta13C (a ratio of 13C to 12C), of primary producers consistent
  within a photosynthetic pathway, C3 = -26.6 +/- 1.8Permille and C4, =
  -14.4 +/- 0.8Permille we can track mouse dietary assimilation of
  forage by plant functional type. Nitrogen isotopic values 15N (a
  ratio of 15N to 14N) fluctuate constantly, reflecting the landscape of
  primary production. Therefore, tracking nitrogen values in small
  mammal plasma provides a landscape level tool for studying diet by
  trophic level and nutritional value.
DOI: 10.17632/w2f3xs84fb.1
title: Data for: Measuring the response of gold prices to uncertainty: An analysis beyond the mean

description: see article for details
DOI: 10.7487/2018.177.1.1134
title: Suzi Clark

description: pseudo-nitz deli for E10 and F10, 2014 to 2016, monthly means. Raw data for scotia shelf region
DOI: 10.15128/r28049g5063
title: Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults [dataset]

description: In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with a partially-rated voltage source converter connected to the rotor. This generator is a significant cause of wind turbine fault modes. In this paper, a harmonic time-stepped generator model is applied to derive  wound rotor induction generator electrical & mechanical signals for fault measurement, and propose simple closed-form analytical expressions to describe them. Predictions are then validated with tests on a 30 kW induction generator test rig. Results show that generator rotor unbalance produces substantial increases  in the side-bands of supply frequency and slotting harmonic frequencies in the spectra of current, power, speed, mechanical torque and vibration measurements. It is believed that this is the first occasion in which such comprehensive approach has been presented for this type of machine, with healthy & faulty conditions at  varying loads and rotor faults. Clear recommendations of the relative merits of various electrical & mechanical signals for detecting rotor faults are given, and reliable fault indicators are identified for incorporation into wind turbine condition monitoring systems. Finally, the paper proposes that fault detectability and reliability could be improved by data fusion of some of these electrical & mechanical signals.
DOI: 10.17632/35tdj6cbd8.3
title: Uplift gratuity: Effects of an Opportune Gift and its Timing on Tipping Behavior

description: These are the raw data as a .csv file used in the manuscript "Uplift gratuity: Effects of an Opportune Gift and its Timing on Tipping Behavior" by Frederic Hilkenmeier, Sascha Hoffmann, and Grzegorz Derkowski. The study analyzes the timing of a small gift offered by waiters on tipping behavior, showing that customers generously reciprocate a gift by significantly increasing gratuity. Closer temporal proximity between gift and payment even doubles this effect, indicating that servers can substantially - and effortlessly - raise their tips just by manipulating the saliency of the reciprocity norm. Statistical Analysis: ANCOVA IV: Experimental Condition DV: Gratuity_percentage Covariate: Billsize As described in the manuscript, we also provide a Reduced Dataset with only 54 subjects (dinner parties) per condition as well as an R-Script on how we derived this reduced dataset.
DOI: 10.4225/25/5b31704371761
title: Perth Canyon Marine Park Bathymetry - 40m Resolution Grid

description: Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data.  Eco-narrative documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.
DOI: 10.5281/zenodo.1298544
title: Ultra-Low-Fouling Ultrafiltration Membranes Via In Situ Polymerization Using Polydopamine Functionalized Titanium Oxide

description: Supporting data and full-resolution images for journal manuscript.
DOI: 10.5281/zenodo.1298545
title: Ultra-Low-Fouling Ultrafiltration Membranes Via In Situ Polymerization Using Polydopamine Functionalized Titanium Oxide

description: Supporting data and full-resolution images for journal manuscript.
DOI: 10.4225/25/5b3174bf2de9b
title: Gifford Marine Park Bathymetry - 30m Resolution Grid

description: Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data.  Eco-narrative documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.
DOI: 10.5061/dryad.396v8n4/1
title: Camera trap data

description: Camera trap data of wildlife species from study sites in South Africa.
DOI: 10.7488/8b0ca52c-f086-40bb-af2a-a551f6bc00f4
title: LGI2 rodent EEG recordings

description: The repository contains:
- EEG data from LGI2 mice, acquired using Opensource Instruments EEG data acquisition system, and LWDAQ/Neuroarchiver software. The data are saved in .ndf format and can be viewed using Neuroarchiver tool in LWDAQ, available here: http://alignment.hep.brandeis.edu/Software/Download/
- Simultaneously acquired video data for a subset of the EEG recordings. Saved as .avi
- RecordingInfo.csv containing metadata for the recordings
- README.txt documentation
DOI: 10.5061/dryad.396v8n4/2
title: Lion leopard densities

description: Densities of lions and leopards from study sites in South Africa.
DOI: 10.5281/zenodo.1297535
title: Sample Datasets For Galaxy Rna-Seq Tutorial

description: This is downsampled dataset from http://dx.doi.org/10.1038/nprot.2016.095. It was prepared as follows:


	Mapping data from  http://dx.doi.org/10.1038/nprot.2016.095 against hg38 using HISAT2
	Restricting resulting BAM datasets to chrX:70,000,000-80,000,000
	Extracting reads using picard SamToFastq tool


File rnaseq_sex.tab contains mapping between accession numbers and sex of the sequences individuals.
DOI: 10.26050/wdcc/ar6.c6dacccesg
title: IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 DAMIP ssp245-GHG

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CCCma.CanESM5.ssp245-GHG' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CanESM5 climate model, released in 2019, includes the following components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6dacccesn
title: IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 DAMIP ssp245-nat

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CCCma.CanESM5.ssp245-nat' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CanESM5 climate model, released in 2019, includes the following components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.