Summary:

Are Suggestions about Coupled Changes
Interesting? – Software Repository Mining Case Study

• Survey questions
• Interview questions
• Grounded theory open coding
• Analysis results
• questionnaire results

Summary:

This paper contains the quantitative data from several interviews along with a used questionnaire for empirically investigating the software quality models created in the project Quamoco.

Summary:

We analysed 2,800 programs in Java and C for which we knew they are functionally similar. We checked if existing clone detection tools are able to find these functional similarities and classified the non-detected differences. We make all used data, the analysis software as well as the resulting benchmark available here.

Summary:

Anomalous data collected at ESRF (Grenoble, France) using beamline ID23-1. The crystal (Crystal form 2) was in the presence of the crystallophore Tb-Xo4.

 

Related Publication: Engilberge et al. (2019)

 

Summary: Pacific Ocean samples were collected from Station ALOHA (22.45°N, 158.00°W) during the Hawaii Ocean Time-series (HOT) 301 cruise aboard the R/V Ka`imikai-O-Kanaloa in April 2018. Atlantic Ocean samples were collected from Hydrostation S (31.67°N, 64.17°W) during the Bermuda Atlantic Time Series (BATS) 358 cruise aboard the R/V Atlantic Explorer in April 2019. River samples were collected from the main stem of the Amazon (Brazil), Congo (Democratic Republic of the Congo), Northern Dvina (Russia), Kolyma (Russia), and Mississippi Rivers (USA) at various time points between 2011 and 2018. Samples were analyzed for dissolved black carbon (DBC), dissolved organic carbon (DOC), and stable carbon isotopes. Data are published in Table 1 and as Supplemental Data in Wagner et al., 2019 (doi: 10.1038/s41467-019-13111-7). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/878750

Summary:

Shared paths and command-line utilities for the IHME Covid-19 pipeline.

Summary: What's Changed

• Develop by @collijk in https://github.com/ihmeuw/covid-shared/pull/138

Full Changelog: https://github.com/ihmeuw/covid-shared/compare/v2.2.0...v2.2.1

Summary:

Original reconstructed data set

Summary:

Shared paths and command-line utilities for the IHME Covid-19 pipeline.

Summary: What's Changed

• Collijk/feature/parallel tools by @collijk in https://github.com/ihmeuw/covid-shared/pull/136
• Develop by @collijk in https://github.com/ihmeuw/covid-shared/pull/137

Full Changelog: https://github.com/ihmeuw/covid-shared/compare/v2.1.1...v2.2.0

Summary: A total of 10 CTD casts were performed on AT37-12 focusing on sampling the waters of the oxygen deficient zone of the Eastern Tropical North Pacific (ETNP). Cast 7 could not be completed due to problems with the wire. This dataset reports the station, date, location, water depth and sampling depth of individual Niskin bottles. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/738001

Summary:

This release adds a number of new features and makes some overdue breaking changes to the library. For detailed information, view the change log.

Some notable changes include:

• Put all code into namespace itensor
• No more dependence on boost library when compiling with USE_CPP11=yes set in options.mk.
• Minimal boost header code included with library download when compiling with USE_CPP11=no.
• Removed ITSparse and IQTSparse classes. Now ITensor carry an internal sparse-mode flag.
• MPS class no longer stores accuracy parameters (maxm,cutoff,...) or a vector of Spectrum objects.
• MPS class no longer defines + and += operators. Use functions sum and plusEq instead.
• Improved methods for constructing OptSet named argument sets.

Summary: Microbial cell abundance, carbon fixation rates, and nitrate concentrations during shipboard incubations of vent fluids at the diffuse-flow vent Crab Spa, East Pacific Rise in the Eastern Tropical North Pacific (ETNP) on RV/Atlantis cruise AT37-12, May 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/788911

Summary:

Code for Immune life-history, vaccination, and the dynamics of SARS-CoV-2 over the next five years, by

CM Saad-Roy*, CE Wagner*, RE Baker, SE Morris, J Farrar, AL Graham, SA Levin, CJE Metcalf, BT Grenfell (*equal contribution)

Summary:

• Removed requirement of including Lapack header files except for the case of MKL (which has very specific type definitions).
• Fixed bug in idmrg sample code
• Added operator= as an alternative to operator<< for commaInit
• Added iterators to VectorRef and Vector.

Summary: This dataset is a sample log of samples collected by ROV Jason II at the 9ºN deep-sea hydrothermal vent field on the East Pacific Rise, Pacific Ocean, January 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/559780

Summary: CTD data from Atlantis cruise AT37-12 in the Eastern Tropical North Pacific in April and May 2017. Data from 9 casts are included. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/739098

Summary: Locations and bottom depth of main Alvin dives at 9N hydrothermal vent field on the East Pacific Rise (EPR) during cruise RV/Atlantis cruise AT37-12, April-May 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/738197

Summary:

Outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system (EUCP) Horizon2020 project. The data can be previewed through our interactive atlas.

For more information, see the atlas about page, or the corresponding storyboard.

 

Preprocessed data of Atlas in EUCP-WP2

We provide some notebooks that check the original/raw data, fix/add the metadata using CF-conventions https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html and save data in a NetCDF format. See https://github.com/eucp-project/atlas/blob/main/python/README.md.

For two of the methods, REA and ClimWIP, pre-calculated weights have also been included. Note that these weights are only valid in the context of this specific model ensemble. Therefore, the original (pre-processed) model data is published together with the weights.

The pre-processed data follows the following standards:

coordinates

• climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01']
• time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF"
• latitude (lat) (float64) [30, ..., 75]
• longitude (lon) (float64) [-10, ..., 40]
• percentile (percentile) (int64) [10, 25, 50, 75, 90]

variables

• tas (time, latitude, longitude, percentile) (float64)
• pr (time, latitude, longitude, percentile) (float64)

attributes

The attributes of variables and coordinates are defined as:

• "tas": {
  "description": "Change in Air Temperature",
  "standard_name": "Change in Air Temperature",
  "long_name": "Change in Near-Surface Air Temperature",
  "units": "K",
  "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",
  },
• "pr": {
  "description": "Relative precipitation",
  "standard_name": "Relative precipitation",
  "long_name": "Relative precipitation",
  "units": "%",
  "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",
  },
• "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"},
• "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"},
• "time": {
  "climatology": "climatology_bounds",
  "long_name": "time",
  "axis": "T",
  "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"],
  "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.",
  },
• "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"},

The attributes of the data is defined as:

• "description": "Contains modified institute method data used for Atlas in EUCP project.",
• "history": "original institute method data files ...",

output file names

output_file_name = prefix_activity_institution-id_source_method_sub-method_cmor-var

example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc

Reference:

https://eucp-project.github.io/atlas/about

Summary:

Outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system (EUCP) Horizon2020 project. The data can be previewed through our interactive atlas.

For more information, see the atlas about page, or the corresponding storyboard.

 

Preprocessed data of Atlas in EUCP-WP2

We provide some notebooks that check the original/raw data, fix/add the metadata using CF-conventions https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html and save data in a NetCDF format. See https://github.com/eucp-project/atlas/blob/main/python/README.md.

For two of the methods, REA and ClimWIP, pre-calculated weights have also been included. Note that these weights are only valid in the context of this specific model ensemble. Therefore, the original (pre-processed) model data is published together with the weights.

The pre-processed data follows the following standards:

coordinates

• climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01']
• time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF"
• latitude (lat) (float64) [30, ..., 75]
• longitude (lon) (float64) [-10, ..., 40]
• percentile (percentile) (int64) [10, 25, 50, 75, 90]

variables

• tas (time, latitude, longitude, percentile) (float64)
• pr (time, latitude, longitude, percentile) (float64)

attributes

The attributes of variables and coordinates are defined as:

• "tas": {
  "description": "Change in Air Temperature",
  "standard_name": "Change in Air Temperature",
  "long_name": "Change in Near-Surface Air Temperature",
  "units": "K",
  "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",
  },
• "pr": {
  "description": "Relative precipitation",
  "standard_name": "Relative precipitation",
  "long_name": "Relative precipitation",
  "units": "%",
  "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",
  },
• "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"},
• "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"},
• "time": {
  "climatology": "climatology_bounds",
  "long_name": "time",
  "axis": "T",
  "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"],
  "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.",
  },
• "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"},

The attributes of the data is defined as:

• "description": "Contains modified institute method data used for Atlas in EUCP project.",
• "history": "original institute method data files ...",

output file names

output_file_name = prefix_activity_institution-id_source_method_sub-method_cmor-var

example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc

Reference:

https://eucp-project.github.io/atlas/about