cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/pygy-4d24
title: Python program for Detecting corrupt Data in a PV plant Database - Validation Results from a 273kW NIST PV plant dataset

description: This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data. First and fourth methods are statistical approaches performing a direct comparison of the parameters. These two statistical methods can be applied from the first day of installing a PV plant. Second and third methods are machine learning based approaches involving training and testing procedures. These two machine learning approaches need some days of historical data prior to applying them. This program is useful to PV plant users, researchers, PV plant monitors, third party service providers to clean their PV plant datasets. By replacing the existing dataset set with their own dataset, one can use the program for filtering their data. This program requires the PV data set to have six parameters: POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage.
DOI: 10.5281/zenodo.3469948
title: The CNN classifier at the class level for fungal identification

description: The CNN classifier was trained based on the CNN model using the WI-CBS ITS barcode dataset.
DOI: 10.5281/zenodo.3469949
title: The CNN classifier at the class level for fungal identification

description: The CNN classifier was trained based on the CNN model using the WI-CBS ITS barcode dataset.
DOI: 10.17171/1-13-17563-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-17564-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-17565-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17566-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17567-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17568-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN TROPICAL-NIGHTS

description: Climate Models
DOI: 10.17171/1-13-17569-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN VERY-HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-17570-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEAN WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-17571-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17572-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17573-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17574-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17575-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17576-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17577-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17578-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.21227/38j0-rg47
title: Python program for Detecting corrupt Data in a PV plant Database - Validation Results from a 273kW NIST PV plant dataset

description: This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data. First and fourth methods are statistical approaches performing a direct comparison of the parameters. These two statistical methods can be applied from the first day of installing a PV plant. Second and third methods are machine learning based approaches involving training and testing procedures. These two machine learning approaches need some days of historical data prior to applying them. This program is useful to PV plant users, researchers, PV plant monitors, third party service providers to clean their PV plant datasets. By replacing the existing dataset set with their own dataset, one can use the program for filtering their data. This program requires the PV data set to have six parameters: POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage.
DOI: 10.5066/p98wbal4
title: Estimating enviromental thresholds for three classes of sagebrush condition in the western United States (2001 &ndash; 2015)

description: We employed decision-tree mapping models in two formats to establish a time series (2001 - 2015) of sagebrush condition class in the western United States. The formats were predictive and descriptive, and each model produced distinct spatially explicit datasets. The predictive model mapped the probability of sagebrush recovery, tipping point (environmental degradation), or stable classes. The descriptive model mapped rules that were defined by environmental thresholds. The thresholds were defined by the interaction between the independent variables and the dependent variable. Mapping areas of stability and areas of change using machine-learning algorithms allows both the identification of dominant abiotic variables that drive ecosystem dynamics and the variablesï¿½ important thresholds. The sagebrush recovery class, on average, covers areas of mid elevations (1602 m) for sagebrush ecosystems, warm 30-yr July maximum temperatures, and 30-yr March precipitation averages equal to 26.26 mm. The tipping point class covers areas with a mean elevation value about 100 m lower than the recovery class. The stable class occurs at the highest elevations of all classes, averaging 1939 m. Both the tipping point and the stable classes were more mesic in March and cooler in July than the recovery class. These defined variable averages can be used to understand current dynamics of sagebrush condition and to predict where future transitions may occur under changing conditions.
DOI: 10.17171/1-13-17579-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17580-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-17581-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-17582-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17583-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17584-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17585-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17586-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17587-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17588-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17589-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17590-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17591-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17592-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18322-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-18323-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-18324-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-18325-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-DRY-DAYS

description: Climate Models
DOI: 10.17171/1-13-18326-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-FROST-DAYS

description: Climate Models
DOI: 10.21227/7bt3-bk38
title: Python program for Detecting corrupt Data in a PV plant Database - Validation Results from a 273kW NIST PV plant dataset

description: This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data. First and fourth methods are statistical approaches performing a direct comparison of the parameters. These two statistical methods can be applied from the first day of installing a PV plant. Second and third methods are machine learning based approaches involving training and testing procedures. These two machine learning approaches need some days of historical data prior to applying them. This program is useful to PV plant users, researchers, PV plant monitors, third party service providers to clean their PV plant datasets. By replacing the existing dataset set with their own dataset, one can use the program for filtering their data. This program requires the PV data set to have six parameters: POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage.
DOI: 10.17171/1-13-17593-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17594-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-17595-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-17596-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17597-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17598-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES MIN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17599-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-18327-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-18328-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-18329-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-18330-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN FROST-DAYS

description: Climate Models
DOI: 10.17171/1-13-18331-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-18332-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN ICE-DAYS

description: Climate Models
DOI: 10.17171/1-13-18333-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18334-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18335-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17600-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17601-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17602-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17603-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17604-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17605-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17606-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17607-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17608-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-17609-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-18336-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SIMPLE-DAILY-INTENSITY

description: Climate Models
DOI: 10.17171/1-13-18337-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-18338-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-18339-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-18340-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-18341-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18342-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.15139/s3/xexqxo
title: Client, provider, and service data from pilot intervention of counseling on hormonal contraception and HIV risk, Tanzania 2018

description: The data support an evaluation to assess the effect of providing injectable and HIV risk counseling messages on contraceptive knowledge and behavior during a three month pilot intervention conducted September-November 2018 in ten healthcare facilities located in the Iringa and Njombe regions of Tanzania. Data collection for the evaluation occurred November-December 2018 and included 471 client exit interviews, 26 healthcare provider interviews, and the extraction of service statistics.
DOI: 10.17171/1-13-17610-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17611-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17612-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTI-YEAR-SEASONAL-VALUES STD TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17613-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17614-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-18343-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-18344-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN TROPICAL-NIGHTS

description: Climate Models
DOI: 10.17171/1-13-18345-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN VERY-HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-18346-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEAN WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-18347-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-18348-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-18349-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-18350-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-18351-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-18352-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.21223/8mzikl
title: Dataset for: Advanced clones from LBHT x LTVR population, 2019

description: The LBHT x LTVR population came from crossing the two populations developed at CIP: LBHT for late blight resistance and LTVR for virus resistance in order to exploit heterosis for tuber yield, in 2013 under quarantine greenhouses at La Molina. 7200 genotypes (45 families with 160 seeds each) were planted. At harvest 258 clones were selected. Since 2015 until 2019, these clones were tested for late blight and PVX, PVY virus resistance, heat and drought tolerance, marketable tuber yield, dry matter and quality for industrial processing, The experiments were planted in sites where environmental conditions are favorable to have high pressure biotic and abiotic stresses that allow us to select clones with resistance and / or tolerance to these factors. Thirty-nine clones were selected for late blight resistance, heat tolerance, some clones have drought tolerance, resistance to virus PVX and or PVY an good quality for industrtial processing.
DOI: 10.21223/8mzikl/q7iitq
title: Data.xls
DOI: 10.21223/8mzikl/sttgrl
title: Data_dictionary.xls
DOI: 10.17171/1-13-17615-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17616-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17617-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17618-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17619-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17620-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17621-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17622-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 1000BP MULTY-YEAR-MONTHLY-VALUES 10thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-18353-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18354-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18355-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-18356-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-18357-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-18358-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18359-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-18360-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES MEDIAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.7910/dvn/heov91/8odggu
title: 4'O_GlcA_8PN_NMR_900MHz_DMSOd6_jdx.zip

description: This file contains the NMR data (*jdx format) acquired for 8-PN 4'-O-Glucuronic acid at 900MHz in DMSO-d6. The acquired NMR data are: 1D: 1H with/without WATR, 1D:13C DEPTQ, and also 2D: gCOSY, HMBC.
DOI: 10.7910/dvn/heov91/99eybu
title: 8PN_NMR_900MHz_DMSOd6_jdx.zip

description: This files contains the NMR data (*jdx format) of 8 PN acquired in DMSO-d6 at 900 MHz. The acquired NMR data acquired: 1D:1H and 13C, 2D: COSY, HSQC, HMBC, ROESY
DOI: 10.7910/dvn/heov91/ehhsbk
title: dej12aug3110.RAW

description: This file contains all the MS data used to prepare figure 2 of the corresponding research article.
DOI: 10.7910/dvn/heov91/esclm1
title: DCL0291_4'OGlcA_8PN_NMR_900MHz_DMSOd6.zip

description: This file contains the raw NMR data (Bruker format) acquired for 8-PN 4'-O-Glucuronic acid at 900MHz in DMSO-d6. The acquired NMR data are: 1D: 1H with/without WATR, 1D:13C DEPTQ, and also 2D: gCOSY, HMBC.