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291 to 300 of 11,083 Results

Wearable_sensors_for_data_exchange.tab Sep 23, 2019 - Replication data for: Dataset of wearable sensors with possibilities for data exchange Tabular Data - 63.5 KB - 20 Variables, 193 Observations - UNF:6:eXX9OduWXX3LpEL8tNpS9Q==
Wearable_sensors_for_data_exchange.txt Sep 23, 2019 - Replication data for: Dataset of wearable sensors with possibilities for data exchange Plain Text - 56.7 KB - MD5: ecbfdda0f351b6dd2154cb804b3ee68a
Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014 Dec 20, 2019 Blanchet, Marie-Anne, 2019, "Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014", https://doi.org/10.18710/QAJWCH, DataverseNO, V1, UNF:6:p4oswtPhPvaiY+Apu1jpOQ== [fileUNF] We present the 1951-2014 European seafood production volume by production sector, country and species. The production data originates from the Food and Agriculture Organisation of the United Nations (FAO) and covers three production sectors: marine fisheries, marine aquaculture a...
01_ReadMe.txt Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014 Plain Text - 1.6 KB - MD5: c352b97078ba20ad83b9d5db968aaa67 Description of the dataset
EU_Fish_Prod_1950_2014_upload.tab Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014 Tabular Data - 164 B - 1 Variables, 4 Observations - UNF:6:p4oswtPhPvaiY+Apu1jpOQ==
EU_Fish_Prod_1950_2014_upload.txt Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014 Plain Text - 1.8 MB - MD5: 85e5d75e5c8116021ea84e394ff7d1f9
Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Mar 9, 2020 Ancin-Murguzur, Francisco Javier; Brown, Antony G.; Clarke, Charlotte; Sjøgren, Per; Svendsen, John Inge; Alsos, Inger Greve, 2020, "Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?", https://doi.org/10.18710/OJC4TH, DataverseNO, V1 This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?
00_ReadMe_file_LOI.txt Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Plain Text - 1.6 KB - MD5: 2e7d26cc64217682a47be9689c048baa README file
LOI_Modeling_Script.R Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? R Syntax - 3.2 KB - MD5: 22498b95800e905b07643382b720afeb Script to develop the LOI predictive model based on lacustrine samples scanned by means of near infra-red reflectance spectroscopy
LOI_Reference_Dataset.txt Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Plain Text - 13.1 MB - MD5: 5875ab1e2b7614cb30e0b23be2e4439b Reference dataset containing the spectral values, LOI values and lake ID

Wearable_sensors_for_data_exchange.tab

Sep 23, 2019 - Replication data for: Dataset of wearable sensors with possibilities for data exchange

Tabular Data - 63.5 KB - 20 Variables, 193 Observations -

Wearable_sensors_for_data_exchange.txt

Sep 23, 2019 - Replication data for: Dataset of wearable sensors with possibilities for data exchange

Plain Text - 56.7 KB -

Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014

Dec 20, 2019

Blanchet, Marie-Anne, 2019, "Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014", https://doi.org/10.18710/QAJWCH, DataverseNO, V1, UNF:6:p4oswtPhPvaiY+Apu1jpOQ== [fileUNF]

We present the 1951-2014 European seafood production volume by production sector, country and species. The production data originates from the Food and Agriculture Organisation of the United Nations (FAO) and covers three production sectors: marine fisheries, marine aquaculture a...

01_ReadMe.txt

Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014

Plain Text - 1.6 KB -

Description of the dataset

EU_Fish_Prod_1950_2014_upload.tab

Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014

Tabular Data - 164 B - 1 Variables, 4 Observations -

EU_Fish_Prod_1950_2014_upload.txt

Dec 20, 2019 - Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014

Plain Text - 1.8 MB -

Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

Mar 9, 2020

Ancin-Murguzur, Francisco Javier; Brown, Antony G.; Clarke, Charlotte; Sjøgren, Per; Svendsen, John Inge; Alsos, Inger Greve, 2020, "Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?", https://doi.org/10.18710/OJC4TH, DataverseNO, V1

This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

00_ReadMe_file_LOI.txt

Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

Plain Text - 1.6 KB -

README file

LOI_Modeling_Script.R

Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

R Syntax - 3.2 KB -

Script to develop the LOI predictive model based on lacustrine samples scanned by means of near infra-red reflectance spectroscopy

LOI_Reference_Dataset.txt

Mar 9, 2020 - Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

Plain Text - 13.1 MB -

Reference dataset containing the spectral values, LOI values and lake ID

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