cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/d6jm27vz
title: SAANGRIA-TEST: NCAR HCR uncorrected radar moments data. Version 1.0

description: HIAPER Cloud Radar (HCR) Field Moments data collected during the SAANGRIA Test project from 14 February 2013 to 3 March 2013. The data are in cfRadial format and are available as large tar files (one per flight). Note: This dataset is not quality controlled. Please contact us before using this dataset
DOI: 10.5281/zenodo.17239141
title: Finlandia. World Trade. Comercio Exterior. Importó, Exportó. Flujo Total, Valor Total, Valor Unitario

description: Este archivo describe el comercio exterior de Finlandia según datos diponibles con detalle mensual desde 2001 01 hasta 2025 04

Incluye importaciones, exportaciones; y cada una de ellas en tres tipos de datos,según la disponibilidad y unidades de la información recopilada de trademap.org

 

Flujo total, la suma de la masa física de las mercancias agragada en un mismo tipo de unidad.

Valor Total,la suma en unidades de1.000 dolares corrientes de Estados Unidos de América

Valor Unitario, la division del valor total en le flujo total en la unidad disponible

 

Es de anotar que las unidades de medicion peden cambiar entre periodos.

El código arancelario usado es de 4 cifras junto a la descripción de la clasificación.

 

La hoja"A" contiene las convencines de color y de accino para cada una de las hojas

La hoja "0" entre las columnas "A hasta H" contine

A: País

B: Rol del Pais importador, o exportador

C: Tipo: Variable de la que trata la fila segun la "unidad de medida" correspondiente

-Flujo Total: Volumen, masa, total de mercancias

-Valor total: Cantidad económica de la transacción en miles de dóllares corrientes de EUA, 1000 USDC

-Valor unitario: Promedio de dóllares corrientes de EUA para una sola unidad de volumen o masa

D: Código.2: Codificación arancelaria de 2 cifras

E: Arancel.2: Nombre del renglón aracncelaria del "Código.2"

F: Código.4: Codificación arancelaria de 4 cifras

G: Arancel.4: Nombre del renglón aracncelaria del "Código.4"

H: Unidad de Medida de la Fila

Columnas I-KN: Datos de transacciones comerciales segun el encabezado del año y mes, pe año 2005 mes 3 "2005-03"

Columnas KL a CAA: Estadisticas calculadas para cada grupo de meses o años y autocorrelacion y correlacion contar el incremento de tiempo

 

Este trabajo es posible al proyecto de investigacion con recursos en especie de la Universidad Distrital "Francisco José de Caldas" llamado "Comercio Exterior 2002 a 2025"

del Grupo de investigacion Armónico por Wilson Alexander Pinzón Rueda, en el programa de Ingeniería de Producción por Ciclos Propedéiticos de la Facultad Tecnológica
DOI: 10.5281/zenodo.17239142
title: Finlandia. World Trade. Comercio Exterior. Importó, Exportó. Flujo Total, Valor Total, Valor Unitario

description: Este archivo describe el comercio exterior de Finlandia según datos diponibles con detalle mensual desde 2001 01 hasta 2025 04

Incluye importaciones, exportaciones; y cada una de ellas en tres tipos de datos,según la disponibilidad y unidades de la información recopilada de trademap.org

 

Flujo total, la suma de la masa física de las mercancias agragada en un mismo tipo de unidad.

Valor Total,la suma en unidades de1.000 dolares corrientes de Estados Unidos de América

Valor Unitario, la division del valor total en le flujo total en la unidad disponible

 

Es de anotar que las unidades de medicion peden cambiar entre periodos.

El código arancelario usado es de 4 cifras junto a la descripción de la clasificación.

 

La hoja"A" contiene las convencines de color y de accino para cada una de las hojas

La hoja "0" entre las columnas "A hasta H" contine

A: País

B: Rol del Pais importador, o exportador

C: Tipo: Variable de la que trata la fila segun la "unidad de medida" correspondiente

-Flujo Total: Volumen, masa, total de mercancias

-Valor total: Cantidad económica de la transacción en miles de dóllares corrientes de EUA, 1000 USDC

-Valor unitario: Promedio de dóllares corrientes de EUA para una sola unidad de volumen o masa

D: Código.2: Codificación arancelaria de 2 cifras

E: Arancel.2: Nombre del renglón aracncelaria del "Código.2"

F: Código.4: Codificación arancelaria de 4 cifras

G: Arancel.4: Nombre del renglón aracncelaria del "Código.4"

H: Unidad de Medida de la Fila

Columnas I-KN: Datos de transacciones comerciales segun el encabezado del año y mes, pe año 2005 mes 3 "2005-03"

Columnas KL a CAA: Estadisticas calculadas para cada grupo de meses o años y autocorrelacion y correlacion contar el incremento de tiempo

 

Este trabajo es posible al proyecto de investigacion con recursos en especie de la Universidad Distrital "Francisco José de Caldas" llamado "Comercio Exterior 2002 a 2025"

del Grupo de investigacion Armónico por Wilson Alexander Pinzón Rueda, en el programa de Ingeniería de Producción por Ciclos Propedéiticos de la Facultad Tecnológica
DOI: 10.5065/d6dv1h36
title: RICO: NCAR S-PolKa antenna camera images. Version 1.0

description: S-PolKa antenna camera images. The data were collected during the Rain in Cumulus over the Ocean (RICO) field project from 26 November 2004 to 25 January 2005. The files are provided in daily zip files.
DOI: 10.5065/d6930rcs
title: NCAR REAL Lidar Data. Version 1.0

description: This data set contains Raman-shifted Eye-safe Aerosol Lidar (REAL) data collected during the Terrain-induced Rotor Experiment (T-REX) from March 3rd, 2006 to April 30th, 2006. The data represent high resolution two-dimensional images of the atmosphere. The REAL lidar is unique because it is safe for use in highly populated areas.The data set includes tar.gz files spanning 30 minutes. Each hour's worth of data in netCDF format are contained in 2 tar.gz files totalling ~1.5GB in size.
DOI: 10.5065/d65b00nf
title: FRAPPE: NCAR Water Vapor DIAL data. Version 1.0

description: Water Vapor DIAL Quality Controlled (QC) data collected during the Front Range Air Pollution and Photochemistry Experiment (FRAPPÉ) from 1 July 2014 to 19 August 2014. The data are in netCDF format.
DOI: 10.15468/dl.44vqqh
title: Occurrence Download

description: A dataset containing 4738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Romualdius scaber",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4738 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035131-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d61j97zm
title: Canada's Three Oceans (C3O) - DBO 2010. Version 1.0

description: This dataset contains water nutrients, sediment, and infaunal biological data from the CCGS Sir Wilfred Laurier cruise between 07/06/2010 and 07/22/2010, as part of the Distributed Biological Observatory (DBO) project. This dataset includes data from DBO transects 1, 2, 3, and 5.
DOI: 10.15468/dl.n6umer
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Waltheria indica",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 220 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035146-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wax4df
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Waltheria indica",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035147-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6ww7fv6
title: REFRACTT06: NCAR S-PolKa radar moments data, S- and Ka-band, CfRadial. Version 2.0

description: S-PolKa data from the Refractivity Experiment for H2O Research and Collaborative operational Technology Transfer '06 (REFRACTT06) project . This data set contains both S-band and Ka-band data. These data are in cfRadial format and are available as hourly tar files.
DOI: 10.5065/d6s46q5n
title: Global Hawk NCAR/EOL Dropsonde Data. Version 2.0

description: Dropsonde sounding profiles deployed on the NOAA/NASA Global Hawk using a NCAR/NOAA dropsonde system specially designed for remote operation. Quality-controlled soundings in EOL file format are provided.
DOI: 10.15468/dl.z9ktx5
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apterona helicoidella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2915 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035141-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6nc5zdg
title: NCAR/EOL Driftsonde Data. Version 2.0

description: Quality-controlled driftsonde sounding data for the African Monsoon Multidisciplinary Analysis (AMMA) project. A total of 124 soundings are contained in the quality final archive.
DOI: 10.5065/d6hm56np
title: DOTSTAR ASTRA NCAR/EOL Dropsonde Data. Version 3.0

description: During ITOP the National Taiwan University DOTSTAR Astra jet released a total of 94 dropsondes in six flights over the Pacific Ocean near Taiwan during the months of August, September, and October 2010. This data set includes the high resolution (0.25 second winds and 0.5 second pressure, temperature and humidity) DOTSTAR dropsonde data set in the EOL columnar ASCII sounding format. This data set has undergone the NCAR/EOL quality control processing and includes the calculated vertical winds. See the readme for details on the QC process and data quality issues.
DOI: 10.5065/d6833q6z
title: NSF/NCAR G-V QC Dropsonde Data. Version 1.0

description: During the GISMOS project 20 dropsonde soundings were collected between February 14 and February 22, 2008. All 20 quality-controlled soundings are contained in the final archive. GISMOS was a project conducted over the Gulf of Mexico on the G-V aircraft. The purpose of the project was to test the GNSS Instrument System for MultiStatic and Occultation Sensing, a HAIS instrument. GISMOS is part of the HEFT-08 project. HEFT-08 is one of a series of airborne projects that are conducted by the Research Aviation Facility, part of the Earth Observing Laboratory (EOL/RAF), to allow instrument developers flight time on the G-V. The goals of the HEFT projects are instrument validation, performance testing and preparation for research field deployments. During the GISMOS project 20 dropsonde soundings were collected between February 14 and February 22, 2008. All 20 quality-controlled soundings are contained in the final archive.
DOI: 10.15468/dl.85npb9
title: Occurrence Download

description: A dataset containing 8225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Celtis iguanaea)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8225 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035149-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdu2mx
title: Occurrence Download

description: A dataset containing 1491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Botaurus poiciloptilus",
 "Year 2001-2020"
 ]
}

 The dataset includes 1491 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035150-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdk8zj
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Waltheria indica",
 "Country is Honduras",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035151-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d64b2zhp
title: NASA DC-8 Dropsonde Data. Version 1.0

description: NCAR/EOL dropsonde data from the NASA DC-8 aircraft during the NAMMA campaign. 197 QC dropsonde soundings are available from 13 research flights off the west coast of Africa, between 6 August and 12 September 2006.
DOI: 10.5065/d60p0x74
title: NASA DC-8 NCAR/EOL Dropsonde Data. Version 1.1

description: Dropsonde sounding profile data from the NASA DC-8 medium altitude research aircraft. A total of 95 dropsonde soundings were collected during 11 research flights primarily off the west coast of Central and South America. All 95 quality-controlled soundings are contained in the final dropsonde data set.
DOI: 10.1594/pangaea.876630
title: Hydrochemistry time series at List Entrance Koenigshafen, Sylt, Germany, in 2015
DOI: 10.1594/pangaea.984603
title: Project ALOIS: DEPAS ocean-bottom seismometer operations at the western Gakkel Ridge / Lena Trough in 2022-2023

description: This ocean-bottom seismometer deployment is part of an interdisciplinary project examining the Aurora hydrothermal vent field in an attempt to understand its fluid circulation. A total of 8 ocean bottom seismometers modified for the operation in sea ice covered oceans was deployed around Aurora vent field at the intersection of Gakkel Ridge and Lena Trough in the Fram Strait. The aim of the experiment was to monitor seismicity related to the hydrothermal circulation system and to reveal potentially heat reservoirs devoid of seismicity. The network consisted of 8 DEPAS Lobster type broadband OBS. Instruments were free-fall deployed and spaced by about 5-8 km. Their position at the seafloor is known to within few meters from ultrashort baseline positioning system Posidonia. The OBS recorded continuously at 100 Hz for up to 12 months between end of July 2022 and mid July 2023. One instrument (AUR02) had an unreliable seismometer records due to levelling problems. Skew values were obtained for all stations and ranged between -18 s and 12.3 s. Clock drift in this experiment was partially nonlinear. After the skew correction, a nonlinear time drift for stations AUR02, AUR04, AUR06, AUR08 was determined using noise cross-correlation. A best-fit correction was obtained by using skew-corrected station AUR01 as reference station for stations AUR04 and AUR08, while skew-corrected station AUR03 served as reference for stations AUR02 and AUR06. Station specific phase residuals obtained from a manually picked catalog of 492 events were used to further validate the clock drift corrections. For AUR04 a nonlinear phase residual drift was observed and, subsequently, the applied drift polynomial was manually adjusted to minimize resulting residuals.
DOI: 10.1594/pangaea.984633
title: Project Upward mantle flow from novel seismic observations (UPFLOW): DEPAS ocean-bottom seismometer operations in the North Atlantic in 2021-2022

description: The goal of the UPFLOW project is to develop new high-resolution seismic imaging approaches along with new data collection, and to use them to constrain upward flow in unprecedented detail. We conducted a large off-shore experiment in the Azores-Madeira-Canary Islands region, which is a unique natural laboratory with multiple upwellings that are poorly understood in general. UPFLOW deployed and recovered 49 ocean bottom seismometers (OBSs) in a ~1,000×2,000 km2 area in the Azores-Madeira-Canary Islands region starting in July 2021 for ~13 months, with an average spacing of ~150-200 km. The seismic deployment and recovery involved institutions from five different countries: Portugal (IPMA, IDL, Univ. of Lisbon, ISEL), Ireland (DIAS), UK (UCL), Spain (ROA) and Germany (Potsdam University, GFZ, Geomar, AWI). 32 OBSs were rented from the DEPAS international pool of instruments maintained by the Alfred Wegener Institute (Bremerhaven), Germany, while other institutions borrowed additional instruments (7 from DIAS, 4 from IDL, 3 from ROA, 4 from GEOMAR). Most of the instruments have three-component wideband seismic sensors, but three different designs of OBS frames were used. Waveform data is available from the GEOFON data centre, under network code 8J, embargoed data may be accessible upon request. Raw data from DEPAS OBS are archived here. We want to acknowledge the exceptional support of the whole team of able seaman, steward, cooks, engineers, mechanicians, electricians and motorman assistants of the vessel RRV Mário Ruivo. The following persons contributed to the data set: Miguel Miranda; Sameneh Baranbooei; Roberto Cabieces Diaz; Carlos Corela; José Luis Duarte; Henrique Ferreira; Wolfram H. Geissler; Katrina Harris; Stephen Hicks; Kasra Hosseini; Kuan-Yu Ke; Frank Krueger; Dietrich Lange; Afonso Loureiro; Peter Makus; Augustin Marignier; Marta Neres; Luis Ramos; Theresa Rein; Alex Saoulis; David Schlaphorst; Frederik Tilmann; Maria Tsekhmistrenko; José Ângelo Gomes (Captain), Luís Ramos (Superintendent), Mafalda Carapuço Vessel's manager (IPMA), Henrique Ferreira Land logistics (IPMA), Celine Ahmed and Jen Amery (Administrative support at UCL) .
DOI: 10.1594/pangaea.984692
title: Seawater carbonate chemistry and Acartia tonsa experimental evolution epigenetics

description: We experimentally evolved the foundational marine copepod Acartia tonsa for 25 generations under ocean acidification, warming, and their combination and then measured epigenomic, genomic, and transcriptomic responses.This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from the PANGAEA dataset (see Source). In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2025-09-02.
DOI: 10.5065/d6vx0drt
title: GRIP: NASA DC-8 NCAR/EOL Dropsonde Data. Version 3.0

description: This data set contains dropsonde data from the NASA DC-8 medium altitude research aircraft. A total of 328 quality-controlled dropsonde soundings were released during 16 research flights, and are contained in the final dropsonde data set.
DOI: 10.15468/dl.x3uzuu
title: Occurrence Download

description: A dataset containing 621833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is VectorBase (Bioinformatics Resource for Invertebrate Vectors of Human Pathogens)",
 "Year 2015-2025"
 ]
}

 The dataset includes 621833 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035143-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6r49p0t
title: DLR Falcon WARAN Data. Version 1.0

description: The data set contains in-situ measurements of total water and calculated ice water content by the DLR Falcon research aircraft during the DEEPWAVE experiment. The data cover a time period between 29 June and 20 July 2014. In this time 13 research flights of the DLR Falcon took place. The aircraft was stationed at the airport in Christchurch, New Zealand. The measurements were located between 20-60 deg. S and 130-150 deg. E.
DOI: 10.5281/zenodo.17239072
title: MFGAT

description: A Knowledge-Guided Graph Reasoning Framework for Physics-Consistent Multi-physics Field Prediction in Converter Transformers

Table of Contents





File Structure




Data Preprocessing Flow




Dataset Splitting




Model Architecture




Core Script Description




Usage




Installation Environment




Note on Dataset Size and Availability



 

This research presents a novel framework named the Multi-Feature Graph Attention Network (MFGAT), designed for the efficient and accurate prediction of the thermo-fluid field within converter transformers. The framework integrates physical knowledge from traditional Computational Fluid Dynamics (CFD) methods with Graph Neural Networks (GNN) , significantly enhancing both computational efficiency and prediction accuracy.

This repository contains the code implementation of the MFGAT model proposed in the paper, which handles ultra-large-scale heterogeneous graph data and provides two schemes for evaluating generalization capabilities: Multi-Condition Generalization and Regional Generalization.。

 

1. File Structure

The core directory structure of this project is as follows:





main.py #Training script




predict.py #Prediction and evaluation script




checkpoints #Trained model checkpoints




dataset(operating conditions split) #Dataset Directory (Multi-Condition Split)





raw #Original physical field data files (processed by data_handle)




labels #Label files




subgraphs #Physical subgraph files




test #Test set symbolic links




train #Training set symbolic links




val #Validation set symbolic links






dataset(regional split) #Dataset Directory (Regional Split)





test #Test set subgraph files and Labels




train #Train set subgraph files and Labels




val #Validate set subgraph files and Labels






data_handle #MATLAB scripts for data preprocessing




logs #Log files




models #Python scripts related to the model





data.py #Data loading and normalization




model.py #MFGAT model definition