cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.902829
title: Carbon fluxes and further environmental data from the flood plain on Samoylov Island in the Lena River Delta

description: The current assessments of the carbon turnover in the Arctic tundra are subject to large uncertainties. One of the reasons is the general shortage of flux data from the vast and sparsely inhabited Arctic region. Addressing this issue, fluxes of carbon dioxide and methane have been determined on an active flood plain in the Siberian Lena River Delta during the growing seasons 2014 and 2015 by means of the eddy covariance method. For explaining the pronounced spatiotemporal variability in the carbon fluxes, a set of environmental parameters has been utilised. This data set may help to refine estimates of the pan-Arctic greenhouse gas budget and the reduction of its uncertainties.
DOI: 10.1594/pangaea.902723
title: Links to master tracks in different resolutions of HEINCKE cruise HE530, Bremerhaven - Bremerhaven, 2019-04-15 - 2019-04-22
DOI: 10.1594/pangaea.902754
title: Physical oceanography during HEINCKE cruise HE530
DOI: 10.1594/pangaea.910033
title: Physical oceanography during HEINCKE cruise HE546/2
DOI: 10.1594/pangaea.910133
title: Links to master tracks in different resolutions of HEINCKE cruise HE546/1, Bremerhaven - Helgoland, 2019-12-25
DOI: 10.1594/pangaea.928653
title: C:N:P proportions in nutrients, particulate organic matter and dissolved organic matter from surface to 2000 m water depth in the Bay of Bengal (Indian Ocean) during summer monsoon 2018

description: The dataset represents all data at each depth of sampling of elemental ratios and concentrations in dissolved inorganic matter, particulate organic matter and dissolved organic matter in three different layers during the summer monsoon (12 July−2 August 2018) in the Bay of Bengal (northeastern Indian Ocean).
description: Top layer: surface to the depth of the chlorophyll maximum, Subsurface layer: depth of the chlorophyll maximum-300 m,Deep water layer: 300−2000 m.
DOI: 10.1594/pangaea.928541
title: Lagrangian thinning rates at 79°N Glacier between 2017 and 2018

description: Estimated Lagrangian thinning rates from phase-sensitive radar (pRES) measurements at 41 locations at 79°N Glacier (Nioghalvfjerdsfjorden Glacier) in northeast Greenland between 2017 and 2018 (see link in "Further details"). Thinning rates are based on pRES-derived ice thicknesses in 2017 and 2018. Off-nadir thinning rates estimates are minimum values and are based on the first basal return.
description: Data were measured in the field by Daniel Steinhage, Niklas Neckel, and Ole Zeising. Data processing was done by Ole Zeising, and data analysis by Ole Zeising and Angelika Humbert. This dataset has been planned by Angelika Humbert as part of the iGRIFF expeditions and as a contribution to GROCE.If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.
DOI: 10.1594/pangaea.929842
title: Multibeam bathymetry raw data (Kongsberg EM 122 working area dataset) of RV SONNE during cruise SO265

description: RV SONNE expedition SO265 was the central activity of the research project Shatsky Evolution that was funded by the German Federal Ministry of Education and Research and was conducted from 2018-08-26 and 2018-10-11 by the GEOMAR Helmholtz Centre for Ocean Research Kiel in collaboration with international partners (Geldmacher et al., 2018, GEOMAR Report 47, doi: 10.3289/GEOMAR_rep_ns_47_2018). The goal of the project was the investigation of the late stage evolution of Shatsky Rise, a vast, submarine volcanic plateau in the northwest Pacific. In particular, the project aimed to study the transition from plateau volcanism (the main body of Shatsky Rise) to postulated hotspot track volcanism (Papanin Ridge and/or Ojin Rise seamounts). Obtained bathymetric data were acquired by the ships own EM 122 multibeam system. A sound velocity profile (SVP) was applied on the data for calibration. SVP data are part of this dataset publication.
description: These data should not be used for navigational purposes.
DOI: 10.1594/pangaea.937531
title: C:N:P proportions in nutrients, particulate organic matter and dissolved organic matter from surface to maximum up to 2000 m water depth in the Bay of Bengal (Indian Ocean) during spring 2019

description: The data present the carbon, nitrogen, and phosphorus content and their ratios (C:N, N:P, C:P) in the dissolved inorganic nutrient, particulate organic matter, and dissolved organic matter pools from 5 m to a maximum of 2000 m depth in the Bay of Bengal during spring (5 April to 15 April 2019) in ORV Sindhu Sankalp expedition (SSK 127). The seawater samples were collected using a Sea-Bird CTD rosette sampler at a maximum of 10 different depths (5, 25, 50, 85, 200, 300, 500, 1000, 1500, and 2000 m). The columns in the dataset include the date of sampling, latitude, longitude, depth, DIC (dissolved inorganic carbon), DIN (dissolved inorganic nitrogen (nitrate + nitrite)), DIP (dissolved inorganic phosphorus (phosphate)), POC (particulate organic carbon), PON (particulate organic nitrogen), POP (particulate organic phosphorus), DOC (dissolved organic carbon), DON (dissolved organic nitrogen), DOP (dissolved organic phosphorus), δ13C of DIC, and elemental ratios including DIC:DIN, DIN:DIP, DIC:DIP, POC:PON, PON:POP, POC:POP, DOC:DON, DON:DOP, and DOC:DOP. DIC was measured using Coulometer (UIC's Model 5012, USA) with an analytical precision of ± 2%. δ13C values of DIC were measured using GasBench II attached to an Isotope Ratio Mass Spectrometer (Thermo Scientific MAT 253) with a precision better than 0.10 %. Nutrients such as DIN and DIP were measured using an autoanalyzer (SKALAR, The Netherlands). Reliability of the nutrients data was obtained daily by measuring certified reference material: MOOS-3 from National Research Council, Canada. POC and PON concentrations were measured using an Elemental Analyzer (FLASH 2000; Thermo Scientific) coupled with an Isotope Ratio Mass Spectrometer (Delta V Plus; Thermo Scientific) connected via conflo interface. The analytical precision for both POC and PON measurements were &lt;10%. Total phosphorus (TP) and POP were measured by using high-temperature oxidation method. Samples (seawater for TP and filtered samples on GF/F for POP) were digested at 15 psi for 80 min in an autoclave, followed by their analysis in Shimadzu Spectrophotometer (UV-1800, Japan). The detection limit of the measurements was 0.1 nM. Total organic carbon (TOC) measurements were performed using high temperature catalytic oxidation method in Shimadzu TOC analyzer (TOC-L-CPH, Japan) and total nitrogen (TN) measurements were performed in Shimadzu TN analyser (TNM-L-CPH, Japan). Total organic N (TON) and total organic P (TOP) were estimated by subtracting inorganic matter from its total elemental pool such as [TN]–[DIN] and [TP]–[DIP], respectively. Dissolved organic C (DOC), N (DON), and P (DOP) concentrations were quantified as the difference between TOC and POC, TON and PON and TOP and POP, respectively.
DOI: 10.1594/pangaea.939038
title: Master tracks in different resolutions of HEINCKE cruise HE585, Bremerhaven - Bremerhaven, 2021-09-24 - 2021-09-30

description: Raw data acquired by position sensors on board RV Heincke during expedition HE585 were processed to receive a validated master track which can be used as reference of further expedition data. During HE585 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report found at EPIC repository https://hdl.handle.net/10013/epic.ad76aa3b-8995-49cc-9875-194d3adf4db7. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Further details" and Other version" references.
DOI: 10.1594/pangaea.950753
title: Experiment on an artificial phytoplankton community in response to high CO2: relative importance assay and calculated relative importance

description: This dataset includes information specific to the Eco-Evo assay applied to a long-term community selection experiment after 80,186, and 288 days. The community contained Emiliania huxleyi and Chaetoceros affinis (details about Species and genotypes used can be found in doi:10.1098/rsbl.2016.0774). The long-term community selection phase to ambient and high CO2 (400 and 1250ppm, respectively) started on the 10th of January 2017, details about the sorting phase in semi-continuous batch cycles can be found in doi:10.1594/PANGAEA.887780. Here, the raw data from the subsequent Eco-Evo assay are presented, as well as the calculated relative importance of species and genotype sorting.The first eco-evo Assay (after 80 days) previously served to validate the new method (https://doi.org/10.1111/1365-2435.13923) and Abundance (column 8) of Time 80 (first 25 rows) and the calculated relative contribution to total changes of that timepoint (column 28- first 4 rows) are also included in the previous dataset (https://doi.org/10.1594/PANGAEA.896220). Abundance-weighted means are calculated as the sum of each species' cell abundances multiplied with their respective trait, divided by the total cell abundance. Relative Importance of eco-evolutionary changes to the total change are calculated following the formula given in Hattich et al 2022 (https://doi.org/10.1111/1365-2435.13923).
DOI: 10.1594/pangaea.964697
title: Daily gridded climate and phenology indices for Switzerland from 1763 to 2020

description: This dataset provides a selection of commonly used climate indices and phenological reconstructions based on gridded high-resolution (1x1 km) daily mean temperature and daily precipitation sums for the period from 1763 to 2020 for Switzerland. The original dataset, on which the indices are based, is in detail described in Imfeld et al. (2023). The detailed calculation of the climate indices and the phenological reconstructions are described in Imfeld et al. (in review). The indices allow for studying historical weather and climate events across several centuries, also considering phenology as a bio-indicator. Note the data quality issues described in Imfeld et al. (2023) in particular when working with the early time period before 1864.
description: Indices Swiss reconstruction 1763 to 2020 All indices are calculated using the Swiss reconstructions for 1763 to 1960 and the MeteoSwiss data set for 1961 to 2020. See the following references for the data sets: data provider name reference UniBe CH_temp_EnKF https://cp.copernicus.org/articles/19/703/2023/ UniBe CH_precip_QMAP https://cp.copernicus.org/articles/19/703/2023/ MeteoSwiss TabsD https://www.meteoswiss.admin.ch/dam/jcr:818a4d17-cb0c-4e8b-92c6-1a1bdf5348b7/ProdDoc_TabsD.pdf MeteoSwiss RhiresD https://www.meteoswiss.admin.ch/dam/jcr:4f51f0f1-0fe3-48b5-9de0-15666327e63c/ProdDoc_RhiresD.pdf
DOI: 10.5281/zenodo.10859057
title: Global data compilation of seawater, authigenic and detrital radiogenic neodymium isotope composition since the Last Glacial Maximum

description: The global radiogenic Neodymium isotope data compilation from:



Du J., Haley B. A. and Mix A. C. (2020) Evolution of the Global Overturning Circulation since the Last Glacial Maximum based on marine authigenic neodymium isotopes. Quaternary Science Reviews 241, 106396.
DOI: 10.5281/zenodo.8384972
title: Unpin Dataset

description: Dataset for Pinning is Sinning: Towards Upgrading Maven Dependencies. Includes constructed datasets, coverage data, and test outcomes.
DOI: 10.5281/zenodo.10858987
title: Unpin Dataset

description: Dataset for Pinning is Sinning: Towards Upgrading Maven Dependencies. Includes constructed datasets, coverage data, and test outcomes.
DOI: 10.5281/zenodo.8384971
title: Unpin Dataset

description: Dataset for Pinning is Sinning: Towards Upgrading Maven Dependencies. Includes constructed datasets, coverage data, and test outcomes.
DOI: 10.5281/zenodo.10859330
title: Wildfire-related publications (1980-2022) associated main figure data
title: Data for the figures in the main text

description: The data for the main figures are uploaded to this repository as their names represent.
DOI: 10.5281/zenodo.10859331
title: Wildfire-related publications (1980-2022) associated main figure data
title: Data for the figures in the main text

description: The data for the main figures are uploaded to this repository as their names represent.
DOI: 10.5281/zenodo.10796491
title: Wildfire-related publications (1980-2022)

description: The CSV file contains all 60,488 publications that are related with wildfire studies. 

54 columns are contained and can be summarized into 4 categories:



Columns (authors, ISBN, abstract, doi, type, title, journal, dates, affiliations) are accessed directly from the Web of Science (WOS) bibliographic database.

Columns that start with "token_" are the consumed time of LLM responses (in this paper, gpt-3.5-turbo that was updated on 13th Feb 2023)

Columns (study_area, study_period) are the interpreted or geoparsed results by LLM.

Columns that start with "main_" are the selected topics in Fig. 1. Those start with "sub_" are the sub-topics. The results are marked by 1 (true) or 0 (false).

Columns that start with "ignition_type_" are the interpreted results pertaining to different sources of ignitions. The results are marked by 1 (true) or 0 (false).

Columns that start with "paradigms_" are the interpreted results pertaining to different aspects of wildfire study paradigms. The results are marked by 1 (true) or 0 (false).


The code is written in Python and shows the process of interactions with gpt models.

The data for the main text figures are uploaded to this repository: Wildfire-related publications (1980-2022) associated main figure data (zenodo.org)
DOI: 10.5281/zenodo.10796492
title: Wildfire-related publications (1980-2022)

description: The CSV file contains all 60,488 publications that are related with wildfire studies. 

54 columns are contained and can be summarized into 4 categories:



Columns (authors, ISBN, abstract, doi, type, title, journal, dates, affiliations) are accessed directly from the Web of Science (WOS) bibliographic database.

Columns that start with "token_" are the consumed time of LLM responses (in this paper, gpt-3.5-turbo that was updated on 13th Feb 2023)

Columns (study_area, study_period) are the interpreted or geoparsed results by LLM.

Columns that start with "main_" are the selected topics in Fig. 1. Those start with "sub_" are the sub-topics. The results are marked by 1 (true) or 0 (false).

Columns that start with "ignition_type_" are the interpreted results pertaining to different sources of ignitions. The results are marked by 1 (true) or 0 (false).

Columns that start with "paradigms_" are the interpreted results pertaining to different aspects of wildfire study paradigms. The results are marked by 1 (true) or 0 (false).
DOI: 10.5281/zenodo.10811211
title: Wildfire-related publications (1980-2022)

description: The CSV file contains all 60,488 publications that are related with wildfire studies. 

54 columns are contained and can be summarized into 4 categories:



Columns (authors, ISBN, abstract, doi, type, title, journal, dates, affiliations) are accessed directly from the Web of Science (WOS) bibliographic database.

Columns that start with "token_" are the consumed time of LLM responses (in this paper, gpt-3.5-turbo that was updated on 13th Feb 2023)

Columns (study_area, study_period) are the interpreted or geoparsed results by LLM.

Columns that start with "main_" are the selected topics in Fig. 1. Those start with "sub_" are the sub-topics. The results are marked by 1 (true) or 0 (false).

Columns that start with "ignition_type_" are the interpreted results pertaining to different sources of ignitions. The results are marked by 1 (true) or 0 (false).

Columns that start with "paradigms_" are the interpreted results pertaining to different aspects of wildfire study paradigms. The results are marked by 1 (true) or 0 (false).


The code is written in Python and shows the process of interactions with gpt models.

The data for the main text figures are uploaded to this repository: Wildfire-related publications (1980-2022) associated main figure data (zenodo.org)
DOI: 10.5281/zenodo.8371513
title: A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications

description: Mandarin air traffic control communications (ATCC) dataset for the paper "A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications".
DOI: 10.5281/zenodo.8371514
title: A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications

description: Mandarin air traffic control communications (ATCC) dataset for the paper "A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications".
DOI: 10.5281/zenodo.5659007
title: TSE2021ReplicationPackage

description: This is a replication package for the manuscript "Locating Performance Regression Root Causes in the Field for Web-based Systems".
DOI: 10.5281/zenodo.5659008
title: TSE2021ReplicationPackage

description: This is a replication package for the manuscript "Locating Performance Regression Root Causes in the Field for Web-based Systems".
DOI: 10.6084/m9.figshare.25464577
title: Genome annotation for Mytilus galloprovincialis genome.

description: To perform functional annotation, we compared the predicted protein sequences to the SwissProt database using <i>blastp</i> v2.13.0 with an e-value threshold of 1e-5. Additionally, we used <i>InterProScan</i> version 5.57 and <i>kofam_scan</i> v1.3.0 for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation.
DOI: 10.5281/zenodo.10858455
title: Interview Corpora for the Study of Multilingual Repertoires in South-South Migration Dynamics I: Haitians in Chapecó (SC, Brazil)

description: Corpus of 19 multilingual interviews with Haitian migrants in Chapecó (Santa Catarina, Brazil), conducted in various languages: in order from the most to the least documented in the interviews, Portuguese, French, Spanish, and Haitian Creole. This corpus is part of broader research on the evolution of multilingual repertoires in South-South migration dynamics. The interviews were conducted in March 2023 by the author in collaboration with Leonie Ette (University of Augsburg) and the two coordinators of the research group Atlas das Línguas em Contato na Fronteira, Professors Cristiane Horst and Marcelo Krug (UFFS, Campus Chapecó).
DOI: 10.5281/zenodo.10858456
title: Interview Corpora for the Study of Multilingual Repertoires in South-South Migration Dynamics I: Haitians in Chapecó (SC, Brazil)

description: Corpus of 19 multilingual interviews with Haitian migrants in Chapecó (Santa Catarina, Brazil), conducted in various languages: in order from the most to the least documented in the interviews, Portuguese, French, Spanish, and Haitian Creole. This corpus is part of broader research on the evolution of multilingual repertoires in South-South migration dynamics. The interviews were conducted in March 2023 by the author in collaboration with Leonie Ette (University of Augsburg) and the two coordinators of the research group Atlas das Línguas em Contato na Fronteira, Professors Cristiane Horst and Marcelo Krug (UFFS, Campus Chapecó).
DOI: 10.6084/m9.figshare.25460695
title: 日本の神経発達障害児における運動能力、職業能力、メンタルヘルスとの関連

description: 幼稚園児77名データ(DCDQ-J、School AMPS、M-ABC2、SDQ)
DOI: 10.6084/m9.figshare.25460695.v1
title: The association between motor skills, occupational performance, and mental health in Japanese children with neurodevelopmental disorders

description: 77 kindergarten children data(DCDQ-J ，School AMPS，M-ABC2，SDQ)
DOI: 10.25345/c58k75735
title: MassIVE MSV000094388 - APOBEC2 Safeguards Skeletal Muscle Cell Fate through Regulating Transcription of Non-Muscle Genes during Myoblast Differentiation
title: The apolipoprotein B mRNA editing enzyme, catalytic polypeptide (APOBEC) family is comprised of nucleic acid editors with roles ranging from antibody diversification to RNA editing. APOBEC2, a member of this family with an evolutionarily conserved nucleic acid binding cytidine deaminase domain, has neither an established substrate nor function. Using a cellular model of muscle differentiation where APOBEC2 is inducibly expressed, we confirmed that APOBEC2 does not have the attributed molecular functions of the APOBEC family, such as RNA editing, DNA demethylation, and DNA mutation. Instead, we found that during muscle differentiation APOBEC2 occupied a specific motif within promoter regions; its removal from those regions resulted in transcriptional changes. Mechanistically, these changes reflect the direct interaction of APOBEC2 with histone deacetylase (HDAC) transcriptional corepressor complexes. We also found that APOBEC2 could bind DNA directly, in a sequence-specific fashion, suggesting that it functions as a recruiter of HDAC to specific genes whose promoters it occupies. These genes are normally suppressed during muscle cell differentiation and their suppression may contribute to the safeguarding of muscle cell fate. Altogether, our results reveal a novel role for APOBEC2 within the APOBEC family.
DOI: 10.6084/m9.figshare.16816654
title: TCGA cancer genomic data and pathway information

description: TCGA cancer genomic data (ESCA , PAAD and LUAD) and pathway information (GO-BP, GO-CC, GO-MF, KEEG, Biocarter)
DOI: 10.6084/m9.figshare.16816654.v9
title: TCGA cancer genomic data and pathway information

description: TCGA cancer genomic data (ESCA , PAAD and LUAD) and pathway information (GO-BP, GO-CC, GO-MF, KEEG, Biocarter)
DOI: 10.6084/m9.figshare.16816654.v8
title: TCGA cancer genomic data and pathway information

description: TCGA cancer genomic data (ESCA , PAAD and LUAD) and pathway information (GO-BP, GO-CC, GO-MF, KEEG, Biocarter)
DOI: 10.34740/kaggle/dsv/7919214
title: Layline Shareholder activism dataset
DOI: 10.6084/m9.figshare.22633369
title: Data for 'Hippocampal sharp-wave ripples correlate with periods of naturally occurring self-generated thoughts in humans'

description: Sharp-wave ripple event rate per 10 minutes of all subjects and mean cortical delta power every 10 minutes of 6 subjects. The data structure is day x time.glme_data.mat contains the data on thought sampling and SWR event rates prior to questionnaire responses used for the regression analysis with the mixed effects model.<br>
DOI: 10.6084/m9.figshare.25464661
title: Data and code for Accounting for the biodiversity benefits of woody plantings in agricultural landscapes: a global meta-analysis

description: The data were used for a global meta-analysis of the biodiversity benefits of woody plantings in agricultural landscapes. They were drawn from publications found through a systematic literature search. Data include means, standard deviations and number of replicates for abundance, species richness and compositional distance measures, for comparisons of different biodiversity groups between agricultural fields, woody plantings and natural reference sites.