cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/pddrps/ahmglw
title: Agosto_1937_Pagina_106.jpg

description: Bulletin of 1937/08/11
DOI: 10.13130/rd_unimi/pddrps/oxxgia
title: Agosto_1937_Pagina_107.jpg

description: Bulletin of 1937/08/11
DOI: 10.13130/rd_unimi/pddrps/ksmmjr
title: Agosto_1937_Pagina_108.jpg

description: Bulletin of 1937/08/11
DOI: 10.13130/rd_unimi/pddrps/1hs8tk
title: Agosto_1937_Pagina_109.jpg

description: Bulletin of 1937/08/11
DOI: 10.13130/rd_unimi/pddrps/bap53o
title: Agosto_1937_Pagina_110.jpg

description: Bulletin of 1937/08/11
DOI: 10.13130/rd_unimi/pddrps/rt64f9
title: Agosto_1937_Pagina_111.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/qun2n0
title: Agosto_1937_Pagina_112.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/w3b2kf
title: Agosto_1937_Pagina_113.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/7ij10z
title: Agosto_1937_Pagina_114.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/qzcxku
title: Agosto_1937_Pagina_115.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/2j5i7n
title: Agosto_1937_Pagina_116.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/xys1oy
title: Agosto_1937_Pagina_117.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/xw9ye5
title: Agosto_1937_Pagina_118.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/2ysliz
title: Agosto_1937_Pagina_119.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/iyvto3
title: Agosto_1937_Pagina_120.jpg

description: Bulletin of 1937/08/12
DOI: 10.13130/rd_unimi/pddrps/ulfbsp
title: Agosto_1937_Pagina_121.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/chxljj
title: Agosto_1937_Pagina_122.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/xgursr
title: Agosto_1937_Pagina_123.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/gtoicg
title: Agosto_1937_Pagina_124.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/67qzay
title: Agosto_1937_Pagina_126.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/x4osoy
title: Agosto_1937_Pagina_125.jpg

description: Bulletin of 1937/08/13
DOI: 10.5281/zenodo.17725677
title: DATASET Training music, training emotions.

description: This dataset includes the behavioral data used in two studies investigating the relationship between musical expertise and higher-order emotional abilities, within the framework of the Emotional Intelligence ability model. The first sheet (Study 1; N = 130) contains data from four adult groups—expert musicians with more than ten years of instrumental practice, music therapy students, psychologists/psychotherapists, and controls without musical or psychological training. For each participant, the file reports age, gender, empathy traits (IRI), personality traits (TIPI), and performance-based Emotional Intelligence scores from the MSCEIT. The second sheet (Study 2; N = 133) includes data from participants with 0 to more than 10 years of instrumental practice and reports age, gender, Musical Ear Test (MET) scores for melodic and rhythmic discrimination, and MSCEIT scores.
DOI: 10.13130/rd_unimi/pddrps/jyxxbq
title: Agosto_1937_Pagina_127.jpg

description: Bulletin of 1937/08/13
DOI: 10.5281/zenodo.17725676
title: DATASET Training music, training emotions.

description: This dataset includes the behavioral data used in two studies investigating the relationship between musical expertise and higher-order emotional abilities, within the framework of the Emotional Intelligence ability model. The first sheet (Study 1; N = 130) contains data from four adult groups—expert musicians with more than ten years of instrumental practice, music therapy students, psychologists/psychotherapists, and controls without musical or psychological training. For each participant, the file reports age, gender, empathy traits (IRI), personality traits (TIPI), and performance-based Emotional Intelligence scores from the MSCEIT. The second sheet (Study 2; N = 133) includes data from participants with 0 to more than 10 years of instrumental practice and reports age, gender, Musical Ear Test (MET) scores for melodic and rhythmic discrimination, and MSCEIT scores.
DOI: 10.13130/rd_unimi/pddrps/8gxufi
title: Agosto_1937_Pagina_128.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/p0oqqa
title: Agosto_1937_Pagina_129.jpg

description: Bulletin of 1937/08/13
DOI: 10.5281/zenodo.17725703
title: AESTHETIC CAPABILITIES AND DISTINCTIVE FEATURES OF CERAMIC AND COMPOSITE VENEERS
DOI: 10.5281/zenodo.17725704
title: AESTHETIC CAPABILITIES AND DISTINCTIVE FEATURES OF CERAMIC AND COMPOSITE VENEERS
DOI: 10.13130/rd_unimi/pddrps/h8hnyh
title: Agosto_1937_Pagina_130.jpg

description: Bulletin of 1937/08/13
DOI: 10.13130/rd_unimi/pddrps/1jweyl
title: Agosto_1937_Pagina_131.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/8nssfr
title: Agosto_1937_Pagina_132.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/ovgibw
title: Agosto_1937_Pagina_134.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/sfmekz
title: Agosto_1937_Pagina_133.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/l30its
title: Agosto_1937_Pagina_135.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/gjwuzd
title: Agosto_1937_Pagina_136.jpg

description: Bulletin of 1937/08/14
DOI: 10.13130/rd_unimi/pddrps/7htyse
title: Agosto_1937_Pagina_137.jpg

description: Bulletin of 1937/08/14
DOI: 10.15468/dl.xvtyjw
title: Occurrence Download

description: A dataset containing 3187295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3187295 records from 3629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010002-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tm36k
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera periclymenum",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049512-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t10k26qw
title: Turbulent Channel Flow

description: The turbulent channel flow database is produced from a direct numerical simulation (DNS) of wall bounded flow with periodic boundary conditions in the longitudinal and transverse directions, and no-slip conditions at the top and bottom walls. In the simulation, the Navier-Stokes equations are solved using a wall {normal, velocity {vorticity formulation. Solutions to the governing equations are provided using a Fourier-Galerkin pseudo-spectral method for the longitudinal and transverse directions and seventh-order Basis-splines (B-splines) collocation method in the wall normal direction. De-aliasing is performed using the 3/2-rule [3]. Temporal integration is performed using a low-storage, third-order Runge-Kutta method. Initially, the flow is driven using a constant volume flux control (imposing a bulk channel mean velocity of U = 1) until stationary conditions are reached. Then the control is changed to a constant applied mean pressure gradient forcing term equivalent to the shear stress resulting from the prior steps. Additional iterations are then performed to further achieve statistical stationarity before outputting fields.
DOI: 10.25326/dyzp-cm26
title: dust+water+ice + None - Aerosol study - physical properties - 2003-10-02

description: Publication of the dataset
DOI: 10.25326/g3gf-wt76
title: chloryprifos-methyl + OH - Gas-phase oxidation - kinetic study - 2010-07-23

description: Publication of the dataset
DOI: 10.25326/e01z-hn18
title: dust+water+ice + None - Aerosol study - physical properties - 2003-09-26

description: Publication of the dataset
DOI: 10.15468/dl.2aayh2
title: Occurrence Download

description: A dataset containing 593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is one of (Spain, Portugal)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus umbellatus L."
 ]
}

 The dataset includes 593 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009804-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/ymd4-n187
title: ammonium sulphate + None - Aerosol study - physical properties - 2005-07-05

description: Publication of the dataset
DOI: 10.25326/y2j2-rg90
title: dust+water+ice + None - Aerosol study - physical properties - 2003-07-16

description: Publication of the dataset
DOI: 10.25326/94jg-qf87
title: illite dust+water+ice + None - Aerosol study - physical properties - 2005-10-20

description: Publication of the dataset
DOI: 10.25326/9rp7-y386
title: chloropicrin + None - Photolysis - 2007-06-12

description: Publication of the dataset
DOI: 10.25326/d7e5-9878
title: illite dust+water+ice + None - Aerosol study - physical properties - 2005-11-15

description: Publication of the dataset
DOI: 10.25326/dzy2-1c06
title: + OH - Gas-phase oxidation - kinetic study - 2010-07-22

description: Publication of the dataset
DOI: 10.25326/dgag-5x82
title: dust+water+ice + None - Aerosol study - physical properties - 2003-07-15

description: Publication of the dataset
DOI: 10.25326/8w66-jb46
title: + None - Aerosol study - physical properties - 2008-09-02

description: Publication of the dataset
DOI: 10.25326/4h9m-jb54
title: sulfuric acid + None - Aerosol study - physical properties - 2009-03-26

description: Publication of the dataset
DOI: 10.25326/he7n-vg07
title: + None - Instruments intercomparison - 2005-01-26

description: Publication of the dataset
DOI: 10.25326/t8e8-ef24
title: dust+water+ice + None - Aerosol study - physical properties - 2005-10-12

description: Publication of the dataset
DOI: 10.22008/fk2/3tsbf0/p3q6s8
title: get_promice_data.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/yyyeru
title: L1toL2.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.18339182
title: Transposon Insertion Sequencing (TIS) Reads for Illumina based preparation methods.

description: Illumina sequencing reads were generated to evaluate four transposon insertion sequencing (TIS) library preparation protocols compatible with Illumina whole-genome sequencing (WGS) workflows, with the aim of maximising sequencing efficiency while minimising turnaround time and cost. These datasets comprise the raw reads used to assess each TIS library preparation method for both Tn5 and mairniner based transpoosn mutant libraries.
DOI: 10.22008/fk2/3tsbf0/fhakna
title: get_l3.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/cde8gt
title: metadata.csv

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/dkugyx
title: L0toL1.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.18351238
title: KUTUBXONASHUNOSLIK FANI IJTIMOIY FANLAR BILAN O'ZARO BOG'LIQLIGI

description: Kutubxonashunoslik jamiyatning axborot ehtiyojlarini qondirishga xizmat qiladigan kompleks fan bo‘lib, u sotsiologiya, pedagogika, psixologiya, tarix, madaniyatshunoslik, kommunikatsiya nazariyasi va boshqaruv ilmiy yo‘nalishlari bilan chambarchas bog‘liq. Annotatsiyada ushbu aloqadorlikning nazariy asoslari, kutubxona faoliyatida ijtimoiy fanlar yutuqlaridan foydalanish, foydalanuvchi xulqini tushunish, axborot tarqatish jarayonining ijtimoiy mohiyati, hamda kutubxonalarning jamiyat taraqqiyotidagi o‘rni kabi jihatlar ko‘rib chiqiladi. Shuningdek, ijtimoiy fanlar bilan integratsiya kutubxona xizmatlarini takomillashtirish, axborot siyosatini shakllantirish va innovatsion yechimlarni ishlab chiqishdagi ahamiyati bilan asoslanadi. Ushbu ish kutubxonashunoslikning fanlararo xususiyatini ko‘rsatib, zamonaviy ilmiy yondashuvlar bilan boyitilgan tahliliy mazmunni taklif etadi.
DOI: 10.5281/zenodo.18351239
title: KUTUBXONASHUNOSLIK FANI IJTIMOIY FANLAR BILAN O'ZARO BOG'LIQLIGI

description: Kutubxonashunoslik jamiyatning axborot ehtiyojlarini qondirishga xizmat qiladigan kompleks fan bo‘lib, u sotsiologiya, pedagogika, psixologiya, tarix, madaniyatshunoslik, kommunikatsiya nazariyasi va boshqaruv ilmiy yo‘nalishlari bilan chambarchas bog‘liq. Annotatsiyada ushbu aloqadorlikning nazariy asoslari, kutubxona faoliyatida ijtimoiy fanlar yutuqlaridan foydalanish, foydalanuvchi xulqini tushunish, axborot tarqatish jarayonining ijtimoiy mohiyati, hamda kutubxonalarning jamiyat taraqqiyotidagi o‘rni kabi jihatlar ko‘rib chiqiladi. Shuningdek, ijtimoiy fanlar bilan integratsiya kutubxona xizmatlarini takomillashtirish, axborot siyosatini shakllantirish va innovatsion yechimlarni ishlab chiqishdagi ahamiyati bilan asoslanadi. Ushbu ish kutubxonashunoslikning fanlararo xususiyatini ko‘rsatib, zamonaviy ilmiy yondashuvlar bilan boyitilgan tahliliy mazmunni taklif etadi.
DOI: 10.22008/fk2/3tsbf0/yp9wud
title: L2toL3.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/0i0vab
title: value_clipping.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/wvffqx
title: __init__.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.18336640
title: Dataset on multi-storey steel buildings with shear plate walls

description: Ground truth and CNN model prediction images 

Initial dataset size: 1703 non-linear dynamic (time history) simulations.

Input parameters include undeformed steel frame images providing geometry characteristics such as bay and storey numbers, as well as thicknesses of steel plate shear walls, fundamental frequencies of each building and peak ground accelerations of the seismic loading events. Output parameters are images providing failure on steel shear walls, in the form of accumulated plastic distribution.

A dataset of 1703 pair of images (groundtruth and predicted) have been generated, providing a range of structural and loading parameters for multi-storey steel buildings with SPSWs. Non-linear dynamic finite element simulations have been performed, using as input parameters the number of baysalong the two horizontal directions, the number of storeys, the thickness of the shear plate walls and the peak ground acceleration. Output (predicted) parameters are images depicting failure on the shear plate walls, in the form of equivalent plastic strain distribution.

In addition to the images, each building is associated with a set of metadata describing the structural and seismic parameters. These include



Length, width, and height: measured in number of bays along the two horizontal directions and height of each storey:

wall thickness: structural thickness of each SPSW

PGA (Peak Ground Accelerator): a measure of earth-quake intensity

POV (point of view): the view direction, from one of the four sides (A,B,C or D)

Hz: The dominant frequency of the ground motion
DOI: 10.22008/fk2/3tsbf0/0sqxmr
title: variables.csv

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.18336639
title: Dataset on multi-storey steel buildings with shear plate walls

description: Ground truth and CNN model prediction images 

Initial dataset size: 1703 non-linear dynamic (time history) simulations.

Input parameters include undeformed steel frame images providing geometry characteristics such as bay and storey numbers, as well as thicknesses of steel plate shear walls, fundamental frequencies of each building and peak ground accelerations of the seismic loading events. Output parameters are images providing failure on steel shear walls, in the form of accumulated plastic distribution.

A dataset of 1703 pair of images (groundtruth and predicted) have been generated, providing a range of structural and loading parameters for multi-storey steel buildings with SPSWs. Non-linear dynamic finite element simulations have been performed, using as input parameters the number of baysalong the two horizontal directions, the number of storeys, the thickness of the shear plate walls and the peak ground acceleration. Output (predicted) parameters are images depicting failure on the shear plate walls, in the form of equivalent plastic strain distribution.

In addition to the images, each building is associated with a set of metadata describing the structural and seismic parameters. These include



Length, width, and height: measured in number of bays along the two horizontal directions and height of each storey:

wall thickness: structural thickness of each SPSW

PGA (Peak Ground Accelerator): a measure of earth-quake intensity

POV (point of view): the view direction, from one of the four sides (A,B,C or D)

Hz: The dominant frequency of the ground motion
DOI: 10.22008/fk2/3tsbf0/fgxi2c
title: aws.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/uslyhw
title: join_l3.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/auhwan
title: test_raw1.txt

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/vqi6ms
title: test_raw_transmitted2.txt

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.17418275
title: A single-cell atlas of multiple myeloma disease evolution

description: A collection of computationally integrated (batch corrected) scRNA-seq and scTCR-seq data from a large cohort of bone marrow and peripheral blood samples from patients with multiple myeloma, myeloma precursor disease (MGUS and SMM) and non-cancer controls.

Datasets



dataDescription.xlsx - Definition of dataset components.

panImmune.h5ad - All cells types integrated gene expression object.

Tcell.h5ad - T cells integrated object.

Tcell-scTCR.csv - Single-cell TCR data.

Botta_2023-predicted.h5ad - Single-cell gene expression data from Botta et al. analysed by label transfer.

metadata.donor.csv - Donor metadata.


Published data acquisition

Data shared through the gene expression omnibus (GEO) can be accessed for Maura et al. under accession GSE161195, Bailur et al. GSE163278, Oetjen et al. GSE120221, Granja et al. GSE139369, Zavidij et al. GSE124310, Kfoury et al. GSE143791, Botta et al. GSE205393, and Zheng et al. GSE156728. Data shared via dbGaP for Sklavenitis-Pistofidis et al. can be accessed under accession phs002476.v1.p1. Data shared online can be accessed for Stephenson et al. (via https://covid19cellatlas.org/), Conde et al. (via https://www.tissueimmunecellatlas.org/), and Liu et al. (via https://explore.data.humancellatlas.org/projects/2ad191cd-bd7a-409b-9bd1-e72b5e4cce81). Single-cell data from Sklavenitis-Pistofidis et al. and extended clinical data from Maura et al. (i.e. paraprotein) are omitted and must be acquired through direct contact with these authors.

Unprocessing sequencing data (Cellranger GEX and VDJ .bam files) have been deposited in the Sequence Read Archive under the accession PRJNA1401834. Raw feature-barcode matrices and filter contig annotation TCR files have been deposited on Zenodo under accession 13171648.

Contact information 



Kane Foster - kane.foster.web@gmail.com

Kwee Yong - kwee.yong@ucl.ac.uk


Please cite our pre-print if you use this resource in your research.
DOI: 10.22008/fk2/3tsbf0/7uf5vu
title: test_payload_formats.csv

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.5281/zenodo.11047959
title: A single-cell atlas of multiple myeloma disease evolution

description: A collection of computationally integrated (batch corrected) scRNA-seq and scTCR-seq data from a large cohort of bone marrow and peripheral blood samples from patients with multiple myeloma, myeloma precursor disease (MGUS and SMM) and non-cancer controls.

Datasets



dataDescription.xlsx - Definition of dataset components.

panImmune.h5ad - All cells types integrated gene expression object.

Tcell.h5ad - T cells integrated object.

Tcell-scTCR.csv - Single-cell TCR data.

Botta_2023-predicted.h5ad - Single-cell gene expression data from Botta et al. analysed by label transfer.

metadata.donor.csv - Donor metadata.


Published data acquisition

Data shared through the gene expression omnibus (GEO) can be accessed for Maura et al. under accession GSE161195, Bailur et al. GSE163278, Oetjen et al. GSE120221, Granja et al. GSE139369, Zavidij et al. GSE124310, Kfoury et al. GSE143791, Botta et al. GSE205393, and Zheng et al. GSE156728. Data shared via dbGaP for Sklavenitis-Pistofidis et al. can be accessed under accession phs002476.v1.p1. Data shared online can be accessed for Stephenson et al. (via https://covid19cellatlas.org/), Conde et al. (via https://www.tissueimmunecellatlas.org/), and Liu et al. (via https://explore.data.humancellatlas.org/projects/2ad191cd-bd7a-409b-9bd1-e72b5e4cce81). Single-cell data from Sklavenitis-Pistofidis et al. and extended clinical data from Maura et al. (i.e. paraprotein) are omitted and must be acquired through direct contact with these authors.

Unprocessing sequencing data (Cellranger GEX and VDJ .bam files) have been deposited in the Sequence Read Archive under the accession PRJNA1401834. Raw feature-barcode matrices and filter contig annotation TCR files have been deposited on Zenodo under accession 13171648.

Contact information 



Kane Foster - kane.foster.web@gmail.com

Kwee Yong - kwee.yong@ucl.ac.uk


Please cite our pre-print if you use this resource in your research.
DOI: 10.22008/fk2/3tsbf0/tyde8g
title: test_raw_transmitted1.txt

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/8op5do
title: test_percentile.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/dxp776
title: test_config1.toml

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/ftyhr4
title: test_payload_types.csv

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/gvwtgp
title: test_raw_SlimTableMem1.txt

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/zjucgs
title: test_raw_DataTable2.txt

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/fcvzob
title: test_email

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/y8amu1
title: test_config2.toml

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/sqwegs
title: WEG_B.bufr

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/dhzmqs
title: test_bufr_utilitites.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/p4ebtd
title: test_get_bufr_integration.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/bkpcq4
title: tx_l3_test1.csv

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
DOI: 10.22008/fk2/3tsbf0/ojttea
title: __init__.py

description: Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.