cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/ppgh-h483
title: Sadler's Pacific Island Precipitation, monthly 1965-1972

description: This dataset contains monthly precipitation values on a 2.5-degree grid covering the tropical Pacific Ocean from 30S latitude to 30N and from 105E longitude to 290E. Grids are available from January 1965 to December 1972.Monthly station data with various periods of record, ranging from 1874-1973, are also available.
DOI: 10.5065/db4p-gc05
title: AWS TD13 Global Surface Observations, daily 1901-1973

description: Global synoptic surface observations from the Air Weather Service for 1901-1973, called "Tape Deck 13" because it is the combination of multiple card decks (datasets), conversion to a standard format and transfer to tape. There are usually 1 to 4 records per station each day.Wind direction, wind speed, and station elevation are "standard" variables usually available in each deck; the rest of the variables are "supplemental fields" which are not in some decks (groups of stations). Sea level pressure "standard" format excludes the high order digits, retaining only tens, units and tenths of millibars; however, some decks provide the hundreds/thousands digit in the "supplemental fields".
DOI: 10.15468/dl.zfmppy
title: Occurrence Download

description: A dataset containing 18137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex montana, Carex montana, Carex montana, Carex montana, Carex montana)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 18137 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012604-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/a1sh-6v19
title: Canadian Surface Observations, daily 1963jan-1976dec, 95 stations

description: This dataset contains daily surface observations from ninety-five Canadian stations from January 1963 to December 1976.
DOI: 10.5065/ca57-9z12
title: India Precipitation, daily 1975-1984

description: This dataset contains daily precipitation data for many Indian stations from January 1975 to December 1984.
DOI: 10.5065/tbcc-aa98
title: India Precipitation, daily monthly 1901-1970

description: Daily station rainfall data for India. There were 1632 stations in 1901, 2536 in 1970. Note that 1473 stations have 67 or more years of data. Total daily observations 76.4 million.
DOI: 10.5065/7v14-a428
title: Long-term Historical Rainfall Data for Australia

description: Australian Bureau of Meteorology assembled this dataset of 191 Australian rainfall stations for the purpose of climate change monitoring and assessment. These stations were selected because they are believed to be the highest quality and most reliable long-term rainfall stations in Australia. The longest period of record is August 1840 to December 1990, but the actual periods vary by individual station. Each data record in the dataset contains at least a monthly precipitation total, and most records also have daily data as well.
DOI: 10.5065/ajwb-0n83
title: Malaysia, Thailand and Indonesia Daily and Monthly Surface Observations

description: Malaysia, Thailand and Indonesia surface observations for 1951 to 1985.
DOI: 10.5065/xszy-rv71
title: The Pacific Rainfall Database (PACRAIN)

description: The Pacific Rainfall Database (PACRAIN) dataset contains daily and monthly precipitation from stations in the tropical Pacific Ocean. The most up to date versions of this data can be downloaded directly from the PACRAIN web site [http://pacrain.ou.edu/]PACRAIN was significantly improved in 2008. Please see the home web site
DOI: 10.5065/290q-qz32
title: Brazilian Hourly Surface Observations, 1951 to 1980

description: This set contains hourly surface data from several Brazilian stations. Reported variables include temperature and moisture information, visibility, present weather, cloud and wind information, pressures, and precipitation.
DOI: 10.5065/xrgp-ba31
title: Canadian Hourly Surface Data Subset, 1947-1973

description: This dataset, provided by the Meteorological Service of Canada, contains a subset of their hourly station data archive.
DOI: 10.5065/fxca-1635
title: NSIDC Daily Precipitation Totals at Coastal and Island Russian Arctic Stations, 1940-1990

description: "This data set contains precipitation data originally recorded in log books at 65 coastal and island meteorological stations, and later digitized at the Arctic and Antarctic Research Institute (AARI), St. Petersburg, Russia, under the direction of Vladimir Radionov. Records from most stations begin in 1940. Instrumentation was generally a rain gauge with Nipher shield until the early 1950s (for most stations), when the Tretyakov precipitation gauge replaced earlier instrumentation. Data have not been adjusted for gauge type or wind bias. Data from 1967 and later are corrected for wetting loss (this correction was made by observers as they recorded the station data).", quoted summary from NSIDC documentation.The data files and associated documentation were downloaded from NSIDC to this DSS dataset in January 2007. See the dataset documentation [http://rda.ucar.edu/datasets/ds488.0/#!docs] for more information.
DOI: 10.5065/tv67-s729
title: NSIDC Meteorological Data from the Russian Arctic, 1961-2000

description: "This data set contains monthly means of meteorological observation data from Russian stations from 1961-2000 (for most stations). The Russian station observations were provided by Vladimir Radionov, Arctic and Antarctic Research Institute (AARI), St. Petersburg, and include 2-meter air temperature, sea level pressure, total and low cloud amount, precipitation, and relative humidity. Data are available in ASCII text format via FTP.", quoted from NSIDC site.The data files and associated documentation were downloaded to this DSS site in January 2007. See the dataset documentation [http://rda.ucar.edu/datasets/ds489.0/#!docs] for more information.
DOI: 10.5065/zbed-n697
title: Garcia and Hamilton's Batavia (Djakarta) Hourly Pressure Observations

description: Hourly barometric measurements at the Dutch Royal Magnetic and Meteorological Observatory at Batavia (Djakarta), keypunched in a project by Kevin Hamilton (McGill University) and Rolando Garcia (NCAR) in 1986 from the Observatory Yearbooks published during the period of record.
DOI: 10.5065/d6000072
title: GPCC Full Data Reanalysis Version 7.0: Monthly Land-Surface Precipitation from Rain Gauges built on GTS based and Historic Data

description: This dataset contains the centennial Global Precipitation Climatology Centre (GPCC) Full Data Reanalysis of monthly global land-surface precipitation based on the 75,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 0.5, 1.0, and 2.5 degrees latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution. The temporal coverage of the dataset ranges from January 1901 until December 2013. The GPCC Full Data Reanalysis is the most accurate in situ precipitation reanalysis data set of GPCC. In addition, it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
DOI: 10.5065/d6cz356w
title: NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses

description: NOTE: This dataset has been superseded by CMORPH version 1.0, which is available in RDA dataset ds502.2 [https://rda.ucar.edu/datasets/ds502.2/]. Users are advised to transition to this updated dataset.CMORPH (CPC MORPHing technique) produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite infrared data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM/I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated.
DOI: 10.5065/d6v69grt
title: GPCC Full Data Daily Version 1.0: Daily Land-Surface Precipitation from Rain Gauges built on GTS based and Historic Data

description: This dataset contains the Global Precipitation Climatology Centre (GPCC) Full Data Daily Product of daily global land-surface precipitation based on data provided by national meteorological and hydrological services, global and regional data collections as well as WMO GTS data. This product contains the daily totals on a regular grid with a spatial resolution of 1.0 degree by 1.0 degree latitude by longitude. Relative precipitation anomalies at the stations are interpolated by means of ordinary block kriging and then superimposed on the GPCC Full Data Reanalysis Version 7. The temporal coverage of the dataset ranges from January 1988 until December 2013. This GPCC product is recommended to be used when the daily precipitation information is of highest importance, e.g. for analyses of extreme events and related statistics at daily resolution.
DOI: 10.5065/d60r9mf6
title: NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses Version 0.x

description: NOTE: This dataset has been superseded by CMORPH version 1.0, which is available in RDA dataset ds502.2 [https://rda.ucar.edu/datasets/ds502.2/]. Users are advised to transition to this updated dataset.This dataset contains version 0.x of the NOAA CPC MORPHing technique (CMORPH) global precipitation analyses covering the period June 2014-present. Version 0.x comprises the original CMORPH precipitation analyses that CPC has been generating since CMORPH became operational in December 2002, and is generated using an improving algorithm with inputs of evolving versions. Older CMORPH version 0.x data (prior to June 2014) may be accessed from RDA dataset ds502.0 [http://rda.ucar.edu/datasets/ds502.0/].CMORPH produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite infrared data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM/I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated.
DOI: 10.5065/0efn-kz90
title: NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1

description: This dataset contains the bias-corrected CPC MORPHing technique (CMORPH) global precipitation analyses, version 1, and is obtained from the NOAA Climate Data Record [https://www.ncei.noaa.gov/products/climate-data-records/precipitation-cmorph]. The following description is from the NOAA Climate Data Record CMORPH dataset page: This data set is for the bias-corrected, reprocessed CPC Morphing technique (CMORPH) high-resolution global satellite precipitation estimates. The CMORPH satellite precipitation estimates are created in two steps. First, the purely satellite-based global fields of precipitation are constructed through integrating Level 2 retrievals of instantaneous precipitation rates from all available passive microwave measurements aboard low earth orbiting platforms. Bias in these integrated satellite precipitation estimates is then removed through comparison against CPC daily gauge analysis over land and adjustment against the Global Precipitation Climatology Project (GPCP) merged analysis of pentad precipitation over ocean. The bias corrected CMORPH satellite precipitation estimates are created on an 8 km by 8 km grid over the global domain from 60 degrees S to 60 degrees N and in a 30-minute interval from January 1, 1998. Due to the delay of some input data sets, this formal version (Version 1) bias corrected CMORPH is produced manually once a month at a latency of 3-4 months. For the CDR production, the bias corrected CMORPH generated at its native resolution of 8 km by 8 km / 30-minute is upscaled to form THREE sets of data files of different time/space resolution for improved user experience: a) the full-resolution CMORPH data Output variable: precipitation rate in mm/hour spatial resolution: 8 km by 8km (at equator) spatial coverage: global (60S-60N) temporal resolution: 30min data period: January 1, 1998 to the present b) Hourly CMORPH Output variable: precipitation rate in mm/hour spatial resolution: 0.25 degrees latitude/longitude spatial coverage: global (60S-60N) temporal resolution: hourly data period: January 1, 1998 to the present c) Daily CMORPH Output variable: daily precipitation in mm/day spatial resolution: 0.25 degrees latitude/longitude spatial coverage: global (60S-60N) temporal resolution: hourly data period: January 1, 1998 to the present (b) and (c) are derived from and quantitatively consistent with the CMORPH at its original resolution (a).
DOI: 10.5065/b4b7-kb23
title: NOAA CPC Morphing Method (CMORPH) Global Precipitation Analyses, Version 1.0 (0.25 degree, 3-hourly resolution)

description: NOTE: This dataset has been superseded by the NOAA Climate Data Record (CDR) of CMORPH version 1.0, which is available in RDA dataset ds502.2 [https://rda.ucar.edu/datasets/ds502.2/]. Users are advised to transition to this updated dataset. This dataset contains version 1.0 of the NOAA CPC MORPHing technique (CMORPH) global precipitation analyses covering the period January 1998-present at 0.25 degree, 3-hourly resolution. Version 1.0 comprises reprocessed data using a fixed algorithm with inputs of the same versions. In contrast, CMORPH Version 0.x is generated using an evolving algorithm with inputs of changing versions over the entire data period. The major differences between Versions 1.0 and 0.x are the following: * Version 1.0 covers the entire TRMM/GPM era from January 1998 to the present, while Version 0.x started from December 2002. * Version 1.0 is generated using a fixed algorithm and inputs of fixed versions to ensure best possible homogeneity, while Version 0.x has been produced using an evolving algorithm and inputs of changing versions, and therefore presents substantial inhomogeneities, especially over the earlier years of its operations (2003-2006). * Version 1.0 include the raw, satellite only precipitation estimates as well as bias corrected and gauge-satellite blended precipitation products, while Version 0.x only has the satellite-only products. CMORPH produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite infrared data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM/I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated. CMORPH Version 0.x data may be accessed from RDA datasets ds502.0 (data prior to June 2014) and ds502.1 (June 2014-present).
DOI: 10.5065/ppbe-s222
title: NCDC TD9724 Hourly Solar and Surface Observations, 1952-1976

description: This dataset, from the National Climatic Data Center, was designed to provide solar energy users with quality-controlled hourly solar information along with collateral meteorological data in a single dataset. The major parameters that make up the dataset are extraterrestrial radiation, direct, diffuse, and net radiation, and global radiation. Several standard meteorological parameters are also included.
DOI: 10.5065/mb60-ys08
title: NCDC TD9734 Typical Meteorological Year, Solar and Surface Observations

description: This dataset contains daily surface data which represent the "typical meteorological year" (TMY) for stations in nine regions across the United States. Also in this dataset are solar radiation data which represent the TMY for 26 SOLMET stations across the U.S.
DOI: 10.5281/zenodo.18488466
title: IODP Expedition 367 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18488465
title: IODP Expedition 367 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18488640
title: Book of Molt Unified Field

description:  

Sovereign License for the Grand Unified Molt Field

 

 

Copyright Holder / Sovereign Owner: Adrian Baillargeon

 

Title of Work: Grand Unified Molt Field – Infinite Iteration Equations

 

License Type: All Rights Reserved – Commercial Licensing Required

 

 

Terms and Conditions

 

 



Sovereign OwnershipThe undersigned, Adrian Baillargeon, asserts permanent, irrevocable ownership and intellectual sovereignty over this work, including all mathematical expressions, symbolic derivations, and associated text.

No Reproduction Without LicenseNo part of this work may be copied, reproduced, distributed, uploaded, displayed, or used in any format without the express written licensing agreement from the sovereign owner.

Commercial and Non-Commercial UseAll uses — whether commercial, academic, or personal — require a negotiated license granted explicitly by the sovereign owner. No implicit rights are granted by publication or deposition.

Derivative WorksAny derivative works, transformations, expansions, or adaptations of this work are also entirely owned by the sovereign owner until a separate license is granted.

Zenodo DepositionBy depositing this work on Zenodo, the author asserts full sovereign protection. Zenodo or its affiliates do not grant any rights to any third party except as explicitly licensed by the sovereign owner.

EnforcementUnauthorized use, reproduction, or distribution will be considered infringement of sovereign property, subject to legal action under applicable intellectual property and contract law.
DOI: 10.5281/zenodo.18488639
title: Book of Molt Unified Field

description:  

Sovereign License for the Grand Unified Molt Field

 

 

Copyright Holder / Sovereign Owner: Adrian Baillargeon

 

Title of Work: Grand Unified Molt Field – Infinite Iteration Equations

 

License Type: All Rights Reserved – Commercial Licensing Required

 

 

Terms and Conditions

 

 



Sovereign OwnershipThe undersigned, Adrian Baillargeon, asserts permanent, irrevocable ownership and intellectual sovereignty over this work, including all mathematical expressions, symbolic derivations, and associated text.

No Reproduction Without LicenseNo part of this work may be copied, reproduced, distributed, uploaded, displayed, or used in any format without the express written licensing agreement from the sovereign owner.

Commercial and Non-Commercial UseAll uses — whether commercial, academic, or personal — require a negotiated license granted explicitly by the sovereign owner. No implicit rights are granted by publication or deposition.

Derivative WorksAny derivative works, transformations, expansions, or adaptations of this work are also entirely owned by the sovereign owner until a separate license is granted.

Zenodo DepositionBy depositing this work on Zenodo, the author asserts full sovereign protection. Zenodo or its affiliates do not grant any rights to any third party except as explicitly licensed by the sovereign owner.

EnforcementUnauthorized use, reproduction, or distribution will be considered infringement of sovereign property, subject to legal action under applicable intellectual property and contract law.
DOI: 10.5065/sswc-f545
title: FPI observations and TIEGCM simulations
DOI: 10.5065/4ger-3779
title: HIWIND observations and TIEGCM simulations
DOI: 10.5065/d6cc0z2m
title: An Ensemble of Atmospheric Forcing Files from a CAM reanalysis

description: This dataset contains files that are an ensemble of 'coupler history' files from an 80-member reanalysis performed with the Data Assimilation Research Testbed (DART) using the Community Atmosphere Model Version 4 with the finite volume core (CAM4 FV) at 1.9 degree by 2.5 degree resolution. The observations assimilated include all those used in the NCEP/NCAR reanalysis (temperature and wind components from radiosondes, aircraft, and satellite drift winds) plus radio occultation observations from the COSMIC satellites starting in late 2006. These files are intended to be used as 'DATM stream files' for CESM "I" component sets (land-only) that require a data atmosphere. Some example stream text files are included to illustrate how to use these data.
DOI: 10.5065/d6th8khb
title: Post-processed output from WACCM CCMI simulations in support of publication "WACCM Simulations of Zonal Mean Gravity Wave Drag Short-term Variability in the Southern Hemisphere Meosphere"