cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28722212
title: SWB_DATA.csv

description: Resilience and subjective well-being are as important during adolescences as they are in other stages of life. The study explored the mediating role of anxiety and moderating role of school climate in the relationship between resilience and subjective well-being among China adolescents.
DOI: 10.5281/zenodo.15129845
title: Identified, tracked and categorized jets, jet properties and trained SOM

description: This zip file has two subfolders: Jets and SOM. The files are all results of the two methods presented in the paper.

The .parquet files represent dataframes, to be opened with a dataframe compatible library like Pandas or Polars. The .nc files are NETCDF4 files to be opened with xarray or the netcdf package (latter untested).

Jets/all_jets_one_df.parquet: All jets found in ERA5 six-hourly wind speed fields between 01.01.1959 and 31.12.2022 included. The dataframe has the following columns: [time, lon, lat, s, lev, u, v, theta, sigma, alignment, ds, jet ID, s_low, ratio, is_polar]

Jets/all_jets_over_time.parquet: Result of the tracking algorithm. Links a flag, which is unique per tracked jet over time, to one or several pairs of a timestamp and a jet ID to find the instantaneous jet core in all_jets_one_df.parquet.

Jets/flags.parquet: Result of the tracking algorithm. A forward map from a timestamp and a jet ID to a flag.

Jets/props_as_df_raw.parquet: The jet properties for each jet in Jets/all_jets_one_df.parquet, except those extracted from the tracking results.

Jets/props_as_df_uncat.parquet: The jet properties for each jet in Jets/all_jets_one_df.parquet .

Jets/props_as_df.parquet: The jet properties for each timestamp and jet category.

Jets/props_as_df_extras.parquet: The jet properties for each timestamp and jet category, plus the double jet index.

Jets/all_props_over_time.parquet: The jet properties reordered in the same order as Jets/all_jets_over_time.parquet, sorted by flag first and timestamp second. Used to determine the COM speed of the jets.

Jets/s_q.nc: Climatology of wind speed quantiles in the NAtl sector for quantiles ranging between 0.6 and 0.99. Used to determine thresholds.

SOM/som_6_4_pbc_euclidean.npy: the weight matrix of each cluster in the SOM. This can be used to recreated the SOM python object.

SOM/labels_som_6_4_pbc_euclidean.nc: The assignment of each timestamp in ERA5 (six hourly, 1959-2022, restricted to JJA) converted to a xarray.DataArray to add some useful metadata like a time coordinate.

SOM/SOM/labels_som_6_4_pbc_euclidean.nc: The center of each cluster in the SOM, for the variables u, v, U and theta.
DOI: 10.5281/zenodo.15129846
title: Identified, tracked and categorized jets, jet properties and trained SOM

description: This zip file has two subfolders: Jets and SOM. The files are all results of the two methods presented in the paper.

The .parquet files represent dataframes, to be opened with a dataframe compatible library like Pandas or Polars. The .nc files are NETCDF4 files to be opened with xarray or the netcdf package (latter untested).

Jets/all_jets_one_df.parquet: All jets found in ERA5 six-hourly wind speed fields between 01.01.1959 and 31.12.2022 included. The dataframe has the following columns: [time, lon, lat, s, lev, u, v, theta, sigma, alignment, ds, jet ID, s_low, ratio, is_polar]

Jets/all_jets_over_time.parquet: Result of the tracking algorithm. Links a flag, which is unique per tracked jet over time, to one or several pairs of a timestamp and a jet ID to find the instantaneous jet core in all_jets_one_df.parquet.

Jets/flags.parquet: Result of the tracking algorithm. A forward map from a timestamp and a jet ID to a flag.

Jets/props_as_df_raw.parquet: The jet properties for each jet in Jets/all_jets_one_df.parquet, except those extracted from the tracking results.

Jets/props_as_df_uncat.parquet: The jet properties for each jet in Jets/all_jets_one_df.parquet .

Jets/props_as_df.parquet: The jet properties for each timestamp and jet category.

Jets/props_as_df_extras.parquet: The jet properties for each timestamp and jet category, plus the double jet index.

Jets/all_props_over_time.parquet: The jet properties reordered in the same order as Jets/all_jets_over_time.parquet, sorted by flag first and timestamp second. Used to determine the COM speed of the jets.

Jets/s_q.nc: Climatology of wind speed quantiles in the NAtl sector for quantiles ranging between 0.6 and 0.99. Used to determine thresholds.

SOM/som_6_4_pbc_euclidean.npy: the weight matrix of each cluster in the SOM. This can be used to recreated the SOM python object.

SOM/labels_som_6_4_pbc_euclidean.nc: The assignment of each timestamp in ERA5 (six hourly, 1959-2022, restricted to JJA) converted to a xarray.DataArray to add some useful metadata like a time coordinate.

SOM/SOM/labels_som_6_4_pbc_euclidean.nc: The center of each cluster in the SOM, for the variables u, v, U and theta.
DOI: 10.5281/zenodo.14848867
title: Modelling data for the manuscript "REMO2020: a modernized modular regional climate model"

description: This dataset is the model data used in manuscript "REMO2020: a modernized modular regional climate model". It includes model data on NetCDF format and details will be explained below.

Simulation raw data:



remo_results_036005.tar.gz includes monthly mean files for year 2005. Only aerosol optical depth is available and this simulation can be concidered an extra simulation, which is only used to show the Tanre aerosol climatology.

remo_results_036030.tar.gz includes monthly mean files for years 2001-2010. This simulation is the default configuration using 27 vertical levels. The NetCDF files only include the variables used in the analysis (for more information, please check the attributes)

remo_results_036031.tar.gz is like 036030, but it uses only shallow convection (not full-convection).

remo_results_036032.tar.gz is like 036030, but it uses 49 vertical levels. This simulation is the default configuration for 49 levels.

remo_results_036033.tar.gz is like 036032, but it does not use the prognostic precipitation approach.

remo_results_036034.tar.gz is like 036032, but it uses the MERRA-2 aerosol climatology.

remo_results_036036.tar.gz is like 036032, but it uses the Smolarkiewitz horizontal advection.

remo_results_036037.tar.gz is like 036032, but it uses only shallow convection (not full-convection).

remo_results_036039.tar.gz is like 036032, but it uses the dynamical vegetation module iMOVE.

remo_results_056524.tar.gz includes monthly mean files for years 2001-2010. This simulation is the REMO2015, an older version of the REMO model.


Simulation post-processed data:



calipso.tar.gz includes monthly mean cloud fractional cover for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

clwc.tar.gz includes monthly mean cloud liquid water content for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

iwc.tar.gz includes monthly mean cloud ice water content for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

histogram.tar.gz includes the binned precipitation hits from hourly data for year 2001-2010. There are two different filenames: 1) RADKLIM for only Germany and 2) prudence for different Prudence regions. The data is only for simulations 036030, 036031, 036032, 036033, 036036, 036037 and 056524.


REMO specific static files:



FLake_input.tar.gz includes the lake fraction file.

REMO_static.tar.gz includes REMO's land-seas mask (BLA) and surface orography (FIB).


 

All observational data used in this study is detailed in the manuscript and is available for download by any interested user.

For more information or additional data please contact the author.
DOI: 10.5281/zenodo.14848868
title: Modelling data for the manuscript "REMO2020: a modernized modular regional climate model"

description: This dataset is the model data used in manuscript "REMO2020: a modernized modular regional climate model". It includes model data on NetCDF format and details will be explained below.

Simulation raw data:



remo_results_036005.tar.gz includes monthly mean files for year 2005. Only aerosol optical depth is available and this simulation can be concidered an extra simulation, which is only used to show the Tanre aerosol climatology.

remo_results_036030.tar.gz includes monthly mean files for years 2001-2010. This simulation is the default configuration using 27 vertical levels. The NetCDF files only include the variables used in the analysis (for more information, please check the attributes)

remo_results_036031.tar.gz is like 036030, but it uses only shallow convection (not full-convection).

remo_results_036032.tar.gz is like 036030, but it uses 49 vertical levels. This simulation is the default configuration for 49 levels.

remo_results_036033.tar.gz is like 036032, but it does not use the prognostic precipitation approach.

remo_results_036034.tar.gz is like 036032, but it uses the MERRA-2 aerosol climatology.

remo_results_036036.tar.gz is like 036032, but it uses the Smolarkiewitz horizontal advection.

remo_results_036037.tar.gz is like 036032, but it uses only shallow convection (not full-convection).

remo_results_036039.tar.gz is like 036032, but it uses the dynamical vegetation module iMOVE.

remo_results_056524.tar.gz includes monthly mean files for years 2001-2010. This simulation is the REMO2015, an older version of the REMO model.


Simulation post-processed data:



calipso.tar.gz includes monthly mean cloud fractional cover for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

clwc.tar.gz includes monthly mean cloud liquid water content for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

iwc.tar.gz includes monthly mean cloud ice water content for years 2001-2010 for different CALIPSO height levels. The data is only for simulation 036030, 036032 and 056524.

histogram.tar.gz includes the binned precipitation hits from hourly data for year 2001-2010. There are two different filenames: 1) RADKLIM for only Germany and 2) prudence for different Prudence regions. The data is only for simulations 036030, 036031, 036032, 036033, 036036, 036037 and 056524.


REMO specific static files:



FLake_input.tar.gz includes the lake fraction file.

REMO_static.tar.gz includes REMO's land-seas mask (BLA) and surface orography (FIB).


 

All observational data used in this study is detailed in the manuscript and is available for download by any interested user.

For more information or additional data please contact the author.
DOI: 10.71795/xhdd-tr68
title: FISH Monument Types thesaurus
DOI: 10.17632/wx2rmmw84c.1
title: Multimodal comparison of cold atmospheric plasma sources for biomedical applications - Dataset

description: Dataset for the article Multimodal comparison of cold atmospheric plasma sources for biomedical applications
DOI: 10.5281/zenodo.15129859
title: A preliminary groundwater field and incubation study to test isotope methods for distinction of various N transformation processes in a contaminated aquifer

description: Incubation 1

Groundwater samples were collected from selected piezometers with high nitrate concentrations and incubated under two conditions: anoxic (flushed with N₂ gas for 15 minutes) and oxic (flushed with synthetic air). pH was left unaltered. Samples were divided into four replicates per treatment and incubated in the dark at 16 °C and agitated at 100 rpm for 3 weeks. Glucose was added after one week to stimulate microbial denitrification. Inorganic nitrogen species (NO₃⁻, NO₂⁻, NH₄⁺) were analyzed using colorimetric methods throughout the incubation i.e. before the start of incubation, before addition of glucose and at the end of the experiment to study N transformation processes under controlled conditions. Further, isotopic analysis were conducted using the bacterial denitrification method: Pseudomonas aureofaciens for NO₃⁻ and Stenotrophomonas nitritireducens for NO₂⁻ isotopes.
DOI: 10.5281/zenodo.15129860
title: A preliminary groundwater field and incubation study to test isotope methods for distinction of various N transformation processes in a contaminated aquifer

description: Incubation 1

Groundwater samples were collected from selected piezometers with high nitrate concentrations and incubated under two conditions: anoxic (flushed with N₂ gas for 15 minutes) and oxic (flushed with synthetic air). pH was left unaltered. Samples were divided into four replicates per treatment and incubated in the dark at 16 °C and agitated at 100 rpm for 3 weeks. Glucose was added after one week to stimulate microbial denitrification. Inorganic nitrogen species (NO₃⁻, NO₂⁻, NH₄⁺) were analyzed using colorimetric methods throughout the incubation i.e. before the start of incubation, before addition of glucose and at the end of the experiment to study N transformation processes under controlled conditions. Further, isotopic analysis were conducted using the bacterial denitrification method: Pseudomonas aureofaciens for NO₃⁻ and Stenotrophomonas nitritireducens for NO₂⁻ isotopes.
DOI: 10.5281/zenodo.15129784
title: FC-YOLO: A Fast Inference Backbone and Lightweight Attention Mechanism-Enhanced YOLO for Detecting Gastric Adenocarcinoma in Pathological Image
DOI: 10.5281/zenodo.15129785
title: FC-YOLO: A Fast Inference Backbone and Lightweight Attention Mechanism-Enhanced YOLO for Detecting Gastric Adenocarcinoma in Pathological Image
DOI: 10.17630/d8a0c02f-b954-4bb8-a339-edae2c8888a2
title: Specimens of Settler Colonialism: Collecting and Displaying Natural History at the University of St Andrews, 1838-1917 (Thesis Data)

description: Data sets provide provenance information relating to two collections of natural history specimens sent to the Literary and Philosophical Society of St Andrews and the University of St Andrews during the nineteenth century. This includes a collection of Australian birds sent by John Gould (1804-1881) in 1844, and a collection of Australian marsupials and monotremes sent by Dr Edward Pierson Ramsay and the Australian Museum, Sydney in 1888. The data compiled comes from numerous archival sources involving the transcription of museum records in MS excel spreadsheets. These files include provenance data relating to the identification, place of origin, date of collection, supplier identity, transcription of original labels, and legacy numbers of extant and not-extant specimens. While specimen records and matching data for extant specimens remains incomplete, these data sets illustrate the history of museum collections, historical agents in the specimen trade, the cataloguing practices of institutions, and St Andrews' connections with the British Empire.
DOI: 10.34740/kaggle/dsv/11261463
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.84yu4x
title: Occurrence Download

description: A dataset containing 10828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isurus oxyrinchus Rafinesque, 1810"
 ]
}

 The dataset includes 10828 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001810-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnp53c
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hackelochloa granularis (L.) Kuntze",
 "Continent is Africa"
 ]
}

 The dataset includes 2150 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001808-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jst7ee
title: Occurrence Download

description: A dataset containing 2264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Crithagra citrinipectus (Clancey & Lawson, 1960)"
 ]
}

 The dataset includes 2264 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001811-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c9r2fwjhr4.1
title: T cell-derived IFN-γ Suppresses T Follicular Helper Cell Differentiation and Antibody Responses

description: CD4+ T cells play a critical role in antiviral humoral and cellular immune responses. We have previously reported that subcutaneous lymphocytic choriomeningitis virus (s.c. LCMV) infection is characterized by a stark compartmentalization of CD4+ T cells, leading to strong TH1 polarization but virtually absent T follicular helper (TFH) cells, a key driver of humoral immunity. Here, we investigated the mechanisms responsible for this impaired TFH differentiation. We found that T-bet+ cells induced by s.c. LCMV infection encompass a TH1 subset expressing Granzyme-B (GzmB) and a Tcf-1+ subset that retains the potential for TFH differentiation without expressing mature TFH markers. Interestingly, IFN-γ blockade enables full differentiation of Tcf-1+ cells into TFH, formation of germinal centers and increased antibody production. Of note, the suppression of TFH cells by IFN-γ is not directly mediated through CD4+ T cells but rather involves another cell type, likely dendritic cells (DCs). Our study provides novel insights into the mechanisms directing early CD4+ T cell polarization and affecting humoral responses to viruses, laying a foundation for the development of effective vaccine strategies.
DOI: 10.5255/ukda-sn-857742
title: Mapping English-Language AI Research Controversies on Twitter, 2022

description: This submission consists of 12 data sets containing Twitter IDs pertaining to 6 AI controversies identified by UK-based experts in AI and Society as especially significant during the period 2012-2021. 
The data sets were collected by researchers at the University of Warwick as part of the 3-year international project “Shaping AI” which mapped controversies about “Artificial Intelligence” (AI) during 2012-2022. Research teams in the UK, France, Germany and Canada analysed controversies about AI in their countries across different spheres: research, policy and the media during this 10-year period.
The UK team at the University of Warwick designed and undertook an analysis of research controversies about AI in the relevant period following a standpoint methodology. Our study began with an online consultation that took place in the Autumn of 2021, in which we asked UK-based experts in AI from across disciplines to identify what are the most important concerns, disputes and problematics that have arisen in the last 10 years in relation to AI as a strategic area of research.

Based on the responses to this expert consultation—described in detail in Marres et al (2024) and Poletti et al (forthcoming)—we identified a broad range of relevant controversy topics, objects and problems. To select controversies for further analysis, we considered their research intensity, in the form of a frequency count of research publications mentioned by respondents in relation to controversy topics. 

On this basis, we selected 6 AI research controversies for further research: COMPAS; NHS+Deepmind; Gaydar; Facial recognition; Stochastic Parrots (LLMs) & Deeplearning as a solution for AI. For each of these controversies, we collected Twitter data by submitting queries to Twitter's academic API using TWARC between January 2022 and June 2022. Further details of the methods of data collection and curation can be found in the methods file with further detail of the queries in the ReadMe file.
DOI: 10.58121/msx6-zd63
title: Encuesta de percepción social de la ciencia y la tecnología en España (EPSCT).
title:  Microdatos 2022 – edición 1.0
DOI: 10.21410/7e4/j3uxrj
title: Enquête électorale française 2019 (ENEF 2019), Vague 23

description: Ce dispositif de suivi et de mesure de l’opinion permet l’analyse des évolutions de l’électorat français et de ses réactions aux événements politiques, sociaux et économiques à travers 5 vagues, entre la veille des élections européennes de 2019 et celle des élections municipales de 2020. Il fournit une série d’indicateurs et de mesures sur les tendances de l’électorat français, ses valeurs politiques et ses préférences partisanes. L'enquête détaille les ressorts psychologiques de la décision électorale à la lumière des valeurs des Français et des contextes politiques, géographiques et socio-économiques. Elle permet également des analyses détaillées sur les rapports avec la politique locale. L'enquête est en continuum de l'Enquête électorale française 2017 qui a repris une partie de ses enquêtés. Cette vingt-troisième vague a été réalisée en mars 2020, avant les élections municipales de Mars 2020 ; 8218 personnes inscrites sur les listes électorales y ont participé.
DOI: 10.21410/7e4/j3uxrj/4byozz
title: fr_cdsp_ddi_enef2019_v23_csv_2.7z

description: :unav
DOI: 10.21410/7e4/j3uxrj/82tkcs
title: fr_cdsp_ddi_enef2019_v23.xml

description: :unav
DOI: 10.21410/7e4/j3uxrj/ibtngw
title: fr_cdsp_ddi_enef2019_v23_sas_2.7z

description: :unav
DOI: 10.21410/7e4/j3uxrj/pdofjl
title: Documentation_ENEF2019_V23.pdf

description: :unav
DOI: 10.21410/7e4/j3uxrj/qm3nky
title: Questionnaire_ENEF2019_Vague 23.pdf

description: :unav
DOI: 10.21410/7e4/j3uxrj/rhmupw
title: fr_cdsp_ddi_enef2019_v23.tab

description: :unav
DOI: 10.21410/7e4/j3uxrj/xkkzhk
title: ENEF2019_Dictionnaire_variable_2.7z

description: :unav
DOI: 10.21410/7e4/j3uxrj/yvca5d
title: fr_cdsp_ddi_enef2019_v23-1.tab

description: :unav
DOI: 10.6084/m9.figshare.28722422
title: Replication packge for the paper submitted to the ACM TKDD journal.

description: This repository contains the code and resources for the research paper "Evaluating the Impact of Source Code Representation and Traversal Methods on Software Fault Prediction and Code Smell Detection". The study investigates and compares multiple code representation techniques—both traditional and pre-trained models—applied to two key software engineering tasks: software fault prediction and code smell detection.
DOI: 10.5281/zenodo.15129946
title: Gummersbach Adler-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/DE-611-BF-70963

[Funktion: Im Findbuch anzeigen] 

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15129947
title: Gummersbach Adler-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/DE-611-BF-70963

[Funktion: Im Findbuch anzeigen] 

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.34740/kaggle/dsv/11261563
title: World Stock Prices ( Daily Updating )
DOI: 10.34740/kaggle/dsv/11261571
title: Hacker News Cumulative Data