cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/wp00181
title: Myanmar 100m Population

description: DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - CHN_ppp_v2b_2010_UNadj.tif = China (CHN) population per pixel (ppp) map for 2010 (2010) adjusted to match UN national estimates (UNadj), version 2c (v2c). 
DATE OF PRODUCTION: April 2016 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data (2014)
DOI: 10.5258/soton/wp00185
title: Namibia 100m Population

description: DATASET: Alpha version 2010, 2015 and 2010 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_ppp_v2b_2010_UNadj.tif = Vietnam (VNM) population per pixel (ppp) map for 2010 (popmap10) adjusted to match UN national estimates (UNadj), version 2b (v2b). 
DATE OF PRODUCTION: May 2014 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data
DOI: 10.5258/soton/wp00188
title: Nepal 100m Population

description: DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/). 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - CHN_ppp_v2c_2010_UNadj.tif = China (CHN) population per pixel (ppp) map for 2010 (2010) adjusted to match UN national estimates (UNadj), version 2c (v2c) 
DATE OF PRODUCTION: April 2015 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data
DOI: 10.5258/soton/wp00192
title: Niger 100m Population

description: DATASET: Alpha version 2010 and 2014 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/). 
REGION: Africa 
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00196
title: Nigeria 100m Population

description: DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - NGA_ppp_v2b_2010_UNadj.tif = Nigeria (NGA) population per pixel (ppp), mapped using WorldPOP modelling version 2b (v2b) for 2010 (2010) adjusted to match UN national estimates (UNadj). 
DATE OF PRODUCTION: February 2017 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data (2006).
DOI: 10.5258/soton/wp00203
title: Oman 100m Population

description: DATASET: Alpha version 2010, 2015 and 2010 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia, Middle East 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - OMN_ppp_v2b_2010_UNadj.tif = Oman (OMN) population per pixel (ppp) map for 2010, modelling version 2b (v2b), adjusted to match UN national estimates (UNadj). 
DATE OF PRODUCTION: Aug 2015 

Also included: (i) Metadata html file, (ii) Population dataset for 2013 respresents the raw input population data (i.e. 2013 estimates, based on the 2010 census)
DOI: 10.5258/soton/wp00206
title: Pakistan 100m Population

description: DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00209
title: Palau 100m Population

description: DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00212
title: Papua New Guinea 100m Population

description: DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00216
title: Philippines 100m Population

description: DATASET: Alpha version 2007, 2010, 2015 and 2020 estimates of numbers of people per grid square (ppp) and per hectare (pph), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - PHL_ppp_v2b_2015_UNadj.tif = Philippines (PHL) population per pixel (ppp) map for 2015 adjusted to match UN national estimates (UNadj), version 2b (v2b). 
DATE OF PRODUCTION: November 2013
DOI: 10.5281/zenodo.842794
title: Training Sets For Small Genome Assembly With Unicycler In Galaxy

description: Downsampled datasets for the small genome assembly in Galaxy training. These include 3 files : forward and reverse reads from Illumina sequencing , and Long read file from Oxford Nanopore sequencing.
DOI: 10.5281/zenodo.842795
title: Training Sets For Small Genome Assembly With Unicycler In Galaxy

description: Downsampled datasets for the small genome assembly in Galaxy training. These include 3 files : forward and reverse reads from Illumina sequencing , and Long read file from Oxford Nanopore sequencing.
DOI: 10.17036/researchdata.aston.ac.uk.00000282
title: Dataset underpinning article "Word mode: a crowding-free reading protocol for individuals with macular disease"
DOI: 10.5258/soton/wp00220
title: Republic of Korea 100m Population

description: DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00223
title: Rwanda 100m Population

description: DATASET: Alpha version 2010, 2015 and 2010 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_ppp_v2b_2010_UNadj.tif = Vietnam (VNM) population per pixel (ppp) map for 2010 (popmap10) adjusted to match UN national estimates (UNadj), version 2b (v2b). 
DATE OF PRODUCTION: October 2013 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data
DOI: 10.5258/soton/wp00225
title: Samoa 100m Population

description: DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). 
DATE OF PRODUCTION: January 2013
DOI: 10.5258/soton/wp00227
title: Saudi Arabia 100m Population

description: DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated persons per grid square 
MAPPING APPROACH: Random Forest 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - VNM_ppp_v2b_2010_UNadj.tif = Vietnam (VNM) population per pixel (ppp) map for 2010 (popmap10) adjusted to match UN national estimates (UNadj), version 2b (v2b) 
DATE OF PRODUCTION: October 2016 

Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data (2010)
DOI: 10.15138/g3cw4q
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2016; obspack_co2_1_GLOBALVIEWplus_v3.0_2017-08-11

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 349 atmospheric carbon dioxide datasets derived from observations made by 46 laboratories from 19 countries. Data for the period 1957-2015 (where available) are included.
DOI: 10.5255/ukda-sn-8048-5
title: English Housing Survey: Fuel Poverty Dataset, 2014
DOI: 10.5255/ukda-sn-8210-3
title: Living Costs and Food Survey, 2015-2016
DOI: 10.5061/dryad.st550
title: Data from: Different from trees, more than metaphors: branching silhouettes—corals, cacti, and the oaks
DOI: 10.17632/fwc2t4539y.1
title: LABICv1

description: The dataset contains 264 images taken from frames of 33 videos of 11 different individuals walking in front of a simple white background.
DOI: 10.17632/jtyrxby8gd.1
title: Hold out method for CVC-MUSICIMA

description: This is a dataset derived from CVC-MUSICIMA (you can find the original dataset in http://www.cvc.uab.es/cvcmuscima/index_database.html). This dataset is a handwritten music score image dataset designed for staff removal and writer identification. In the classification task, there are a total of 50 classes, i.e. authors. Each author transcribes the same 20 music scores. In total, the dataset contains 1.000 images of roughly 3.500x1.600 pixels with some variations. The dataset offers images with and without staff lines. By using our patch extraction strategy, each music score produces an average of 250 patches. The data is split in the following manner: the first 17 music scores of each writer are used for training, whilst the remaining 3 are used for testing. Hence, 850 images of music scores (227.560 patches) were used to train and 150 images of music scores (45.063 patches) were used to test our approach.
DOI: 10.17632/wgnbxd9npy.1
title: Flea occurrence on prairie dogs in relation to host traits
DOI: 10.15129/7980e94c-2666-4191-92cb-1eab1751b601
title: Data for "Equations for the Estimation of Strong Ground Motions from Shallow Crustal Earthquakes Using Data from Europe and the Middle East: Vertical Peak Ground Acceleration and Spectral Acceleration"

description: Observed vertical peak ground and response spectral accelerations used to develop ground motion prediction equations published in this article by Ambraseys et al. (2005) as a zip file (also see Table V of the accompanying article on horizontal ground motions)
DOI: 10.15129/854ace68-5f30-4fa5-9a58-6156e519e1ba
title: Data for: "Equations for the Estimation of Strong Ground Motions from Shallow Crustal Earthquakes Using Data from Europe and the Middle East: Horizontal Peak Ground Acceleration and Spectral Acceleration"

description: Observed horizontal peak ground and response spectral accelerations used to develop ground motion prediction equations published in this article by Ambraseys et al. (2005) as a zip file (also see Table V of this article)
DOI: 10.5281/zenodo.842811
title: Expression And Purification Of Huntingtin Interaction Protein High Mobility Group Protein B1 (Hmgb1) – 2017/08/14

description: Huntingtin structure-function open lab notebook project
DOI: 10.5281/zenodo.842812
title: Expression And Purification Of Huntingtin Interaction Protein High Mobility Group Protein B1 (Hmgb1) – 2017/08/14

description: Huntingtin structure-function open lab notebook project
DOI: 10.5255/ukda-sn-7811-3
title: Smoking, Drinking and Drug Use among Young People, 2014
DOI: 10.17909/t9d10p
title: K2 Light Curves Campaign 12

description: K2 extracted light curves, Campaign 12.
DOI: 10.5281/zenodo.519752
title: Orientation Anisotropy Of Quantitative Mri Relaxation Parameters In Ordered Tissue

description: This dataset contains all the raw source data and MATLAB analysis functions that comprise the study:

<br>
<strong>Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue</strong>

Scientific Reports | DOI:10.1038/s41598-017-10053-2

Hänninen Nina(1,2), Rautiainen Jari(1), Rieppo Lassi(2,3), Saarakkala Simo(2,3,4) and Nissi Mikko Johannes(1*)


	Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211 Kuopio, Finland
	Research Unit of Medical Imaging, Physics and Technology, University of Oulu, POB 5000, FI-90014 Oulu, Finland
	Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
	Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland


 

*Corresponding author:<br>
Mikko J. Nissi<br>
Department of Applied Physics,<br>
University of Eastern Finland<br>
POB 1627<br>
FI-70211, Kuopio, Finland<br>
mikko.nissi@uef.fi<br>
+358-50-5955517

<br>
Keywords: relaxation anisotropy, orientation, cartilage, MRI, quantitative

 

<br>
Included folders and files are:


	article_figures: all figures published in the manuscript
	data: MRI measurement data and pre-processed PLM measurement data
	matlab_functions: matlab functions used in data analysis with subfolders:
	
		aedes_plugins: plugins for aedes (http://aedes.uef.fi) for calculation of relaxation time maps
		fitting_functions: miscellaneous functions for fitting relaxation times etc, used by the functions in above folder
		miscellaneous_functions: small helper functions for a number of small tasks utilized by the other scripts and functions
	
	
	plm_new_data: histological data measured by quantitative polarized light microscopy.
	sample_holder_3D_model: .stl files for the 3-D printable sample-holder which allows rotation of the specimen
	carbon_data_collector_ROT_for_publication.m: master data collection and analysis script that reads in all the data and performs all the calculations to produce the images of the study. This function relies on all the matlab-functions in the subfolder (i.e. the subfolders need to be indexable by matlab) and Aedes analysis software (http://aedes.uef.fi) and matlab R2013b or later.
	README.txt: this file


<br>
Notes for setting up Aedes correctly for this dataset:<br>
Run Aedes -&gt; Tools -&gt; Edit VNMR Defaults:


	Return: FT + K-space
	DC: off
	Zeropadding: off
	Sorting & fastread: on
	Precision: single
	Read_fcn: readfid (old)
	Orient: no


See more info in separate readme files included in each folder.

<br>
(Mikko Nissi, Aug 15, 2017)
description: Financial support from the Academy of Finland (grants #285909, #293970, #297033, #268378 and #303786) and the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement no. 336267 are gratefully acknowledged.
DOI: 10.5281/zenodo.599145
title: Orientation Anisotropy Of Quantitative Mri Relaxation Parameters In Ordered Tissue

description: This dataset contains all the raw source data and MATLAB analysis functions that comprise the study:

<br>
<strong>Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue</strong>

Scientific Reports | DOI:10.1038/s41598-017-10053-2

Hänninen Nina(1,2), Rautiainen Jari(1), Rieppo Lassi(2,3), Saarakkala Simo(2,3,4) and Nissi Mikko Johannes(1*)


	Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211 Kuopio, Finland
	Research Unit of Medical Imaging, Physics and Technology, University of Oulu, POB 5000, FI-90014 Oulu, Finland
	Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
	Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland


 

*Corresponding author:<br>
Mikko J. Nissi<br>
Department of Applied Physics,<br>
University of Eastern Finland<br>
POB 1627<br>
FI-70211, Kuopio, Finland<br>
mikko.nissi@uef.fi<br>
+358-50-5955517

<br>
Keywords: relaxation anisotropy, orientation, cartilage, MRI, quantitative

 

<br>
Included folders and files are:


	article_figures: all figures published in the manuscript
	data: MRI measurement data and pre-processed PLM measurement data
	matlab_functions: matlab functions used in data analysis with subfolders:
	
		aedes_plugins: plugins for aedes (http://aedes.uef.fi) for calculation of relaxation time maps
		fitting_functions: miscellaneous functions for fitting relaxation times etc, used by the functions in above folder
		miscellaneous_functions: small helper functions for a number of small tasks utilized by the other scripts and functions
	
	
	plm_new_data: histological data measured by quantitative polarized light microscopy.
	sample_holder_3D_model: .stl files for the 3-D printable sample-holder which allows rotation of the specimen
	carbon_data_collector_ROT_for_publication.m: master data collection and analysis script that reads in all the data and performs all the calculations to produce the images of the study. This function relies on all the matlab-functions in the subfolder (i.e. the subfolders need to be indexable by matlab) and Aedes analysis software (http://aedes.uef.fi) and matlab R2013b or later.
	README.txt: this file


<br>
Notes for setting up Aedes correctly for this dataset:<br>
Run Aedes -&gt; Tools -&gt; Edit VNMR Defaults:


	Return: FT + K-space
	DC: off
	Zeropadding: off
	Sorting & fastread: on
	Precision: single
	Read_fcn: readfid (old)
	Orient: no


See more info in separate readme files included in each folder.

<br>
(Mikko Nissi, Aug 15, 2017)
description: Financial support from the Academy of Finland (grants #285909, #293970, #297033, #268378 and #303786) and the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement no. 336267 are gratefully acknowledged.
DOI: 10.17909/t98953
title: K2 Target Pixel Files Campaign 12

description: K2 target pixel files, Campaign 12.
DOI: 10.6073/pasta/db4a0ad70d2ac0668154506247ca340d
title: AWT02 Water temperature measured continuously in Konza Prairie streams