cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23993748
title: A Dynamic Social Network of Characters Appeared in the French Novel "Les Liaisons Dangereuses"

description: Social networks for fictional characters offer valuable insights for quantitatively examining narrative elements. These networks highlight the importance, roles, and groupings of characters. This dataset showcases a social network of characters from the epistolary French novel, "Les Liaisons Dangereuses," penned by Pierre Choderlos de Laclos in 1782. The relationships between characters are gauged by the frequency of letter exchanges, resulting in an asymmetric, directed graph representation. While static social networks provide significant insights into literature, monitoring the dynamic shifts in character relationships can elucidate plot developments, such as rising tensions or emerging conflicts. Consequently, we've mapped the dynamic social network of these characters across four intervals corresponding to the novel's four chapters. Each interval captures interaction rates from the novel's outset to the conclusion of that specific chapter. Comparing these four intervals reveals the evolving dynamics of character relationships throughout the narrative.
DOI: 10.6084/m9.figshare.23993748.v3
title: A Dynamic Social Network of Characters Appeared in the French Novel "Les Liaisons Dangereuses"

description: Social networks for fictional characters offer valuable insights for quantitatively examining narrative elements. These networks highlight the importance, roles, and groupings of characters. This dataset showcases a social network of characters from the epistolary French novel, "Les Liaisons Dangereuses," penned by Pierre Choderlos de Laclos in 1782. The relationships between characters are gauged by the frequency of letter exchanges, resulting in an asymmetric, directed graph representation. While static social networks provide significant insights into literature, monitoring the dynamic shifts in character relationships can elucidate plot developments, such as rising tensions or emerging conflicts. Consequently, we've mapped the dynamic social network of these characters across four intervals corresponding to the novel's four chapters. Each interval captures interaction rates from the novel's outset to the conclusion of that specific chapter. Comparing these four intervals reveals the evolving dynamics of character relationships throughout the narrative.
DOI: 10.25345/c5cz32g19
title: MassIVE MSV000092697 - CRL4-DCAF15 control of cohesin dynamics sustains 1 cell proliferation
title: The CRL4-DCAF15 E3 ubiquitin ligase complex is targeted by the aryl-sulfonamide molecular glues, leading to neo-substrate recruitment, ubiquitination, and proteasomal degradation. However, the physiological function of DCAF15 remains unknown. Using a domain-focused genetic screening approach, we reveal DCAF15 as an acute myeloid leukemia (AML)-biased dependency. Loss of DCAF15 results in suppression of AML through compromised replication fork integrity and consequent accumulation of DNA damage. Accordingly, DCAF15 loss sensitizes AML to replication stress-inducing therapeutics. Mechanistically, we discover that DCAF15 directly interacts with the SMC1A protein of the cohesin complex and destabilizes the cohesin regulatory factors PDS5A and CDCA5. Loss of PDS5A and CDCA5 removal precludes cohesin acetylation on chromatin, resulting in uncontrolled chromatin loop extrusion, defective DNA replication, and apoptosis. Collectively, our findings uncover an endogenous, cell autonomous function of DCAF15 in sustaining AML proliferation through post-translational control of cohesin dynamics.
DOI: 10.5281/zenodo.8265919
title: Doppelte Perfektbildungen im Zwirner-Korpus

description: Der Datensatz umfasst 570 Belege doppelter Perfektbildungen aus dem Zwirner-Korpus und stellt die Datengrundlage der Analyse in Fischer/Gropp (2022) dar. Der Datensatz enthält die folgenden Informationen für jeden Beleg: Transkript-ID, Erhebungsort, Orts-ID im REDE SprachGIS (https://regionalsprache.de), Dialektraum, Satz vor Belegsatz, Belegsatz, Satz nach Belegsatz, Beleg, Lexem des Vollverbs, Partizip des Auxiliars, Formtyp, Finitheit, Bedeutungsbereich, Spezifizierung Bedeutungsbereich (vgl. Fischer/Gropp 2022: 101–105). Korpus: Deutsche Mundarten: Zwirner-Korpus (ZW): https://agd.ids-mannheim.de/ZW--_extern.shtml. Die Korpusanfrage erfolgte im November 2019 (DGD Version 2.12).<br> <br> Fischer, Hanna/Gropp, Milena (2022): Das doppelte Perfekt als aspektuelle Form? Die Verwendung der doppelten Perfektbildungen im Zwirner-Korpus. In: Fischer, Hanna/Gillmann, Melitta/Schmuck, Mirjam (Hg.): Aspektualität in Varietäten des Deutschen. Hamburg: Buske. (Linguistische Berichte, Sonderheft 32), 89–115. https://doi.org/10.46771/978-3-96769-242-6
DOI: 10.5281/zenodo.8265918
title: Doppelte Perfektbildungen im Zwirner-Korpus

description: Der Datensatz umfasst 570 Belege doppelter Perfektbildungen aus dem Zwirner-Korpus und stellt die Datengrundlage der Analyse in Fischer/Gropp (2022) dar. Der Datensatz enthält die folgenden Informationen für jeden Beleg: Transkript-ID, Erhebungsort, Orts-ID im REDE SprachGIS (https://regionalsprache.de), Dialektraum, Satz vor Belegsatz, Belegsatz, Satz nach Belegsatz, Beleg, Lexem des Vollverbs, Partizip des Auxiliars, Formtyp, Finitheit, Bedeutungsbereich, Spezifizierung Bedeutungsbereich (vgl. Fischer/Gropp 2022: 101–105). Korpus: Deutsche Mundarten: Zwirner-Korpus (ZW): https://agd.ids-mannheim.de/ZW--_extern.shtml. Die Korpusanfrage erfolgte im November 2019 (DGD Version 2.12).<br> <br> Fischer, Hanna/Gropp, Milena (2022): Das doppelte Perfekt als aspektuelle Form? Die Verwendung der doppelten Perfektbildungen im Zwirner-Korpus. In: Fischer, Hanna/Gillmann, Melitta/Schmuck, Mirjam (Hg.): Aspektualität in Varietäten des Deutschen. Hamburg: Buske. (Linguistische Berichte, Sonderheft 32), 89–115. https://doi.org/10.46771/978-3-96769-242-6
DOI: 10.25345/c58912193
title: MassIVE MSV000092698 - SRM PFAS NTA Data Agilent Revident Q-TOF: Expanding PFAS Coverage in Non-Targeted Analysis Using Data-Independent Analysis and IonDecon with FluoroMatch Suite
title: non-targeted analysis PFAS data acquired on the state-of-the-art Revident LC Q-TOF for estuarine sediment (BCR667), sewage sludge (ERMCC144), dried sediment from Milwaukee Bay, WI, USA (SRM1936), freeze-dried sediment (SRM1941b), human plasma (SRM1950), organic contaminants in house dust (SRM2585), and domestic sludge (SRM 2781). For SRM 2781 the data goes alongside a manuscript describing the following: All Ions with deconvolution using IonDecon is a complementary approach to use with DDA or intelligent acquisition methods. All Ions improves coverage in complex matrices by providing fragmentation for every feature where fragments can be correlated with precursor ions. It provides coverage of low abundance intensity ions not selected by DDA. Furthermore, it provides isotopic ratios in the fragmentation spectra, which can be used for aiding characterization of unknowns. While IonDecon and All Ions can reduce false negatives, it was also shown to increase false positives, and therefore some issues of All Ions should be understood by the user and accounted for when annotating using All Ions. These include retaining fragments which do not belong to precursor ions, but rather belong to other adducts, dimers, and other correlating compounds. Furthermore, fragment ions may be retained due to false positives, thousands of MS/MS peaks are often included in All Ions spectra, and hence the random chance for a fragment to correlate with a precursor is high. To obtain better spectral quality, more stringent thresholds can be used but these will also increase false negatives. IonDecon also can be used for QRAI data, which may further reduce these issues and can be used in any workflow which requires MS/MS files. As part of an overall workflow, All Ions and IonDecon will improve MS/MS coverage of PFAS molecules. IonDecon will aid in discovering more PFAS present in the environment which will enable the associated health burden to be investigated. This understanding can be used for developing regulations and mitigation strategies for legacy PFAS as well as newly discovered PFAS.
DOI: 10.5519/qd.se5fmzk0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (135 records)
DOI: 10.5519/qd.gl9zr8a1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.6084/m9.figshare.23992404
title: Data from" Water deficit changes patterns of selection on floral signals and nectar rewards in the common morning glory" 2023, AoBP, by Yedra García, Benjamin S. Dow & Amy L. Parachnowitsch

description: Data from<i> Ipomoea purpurea</i> growing under controlled conditions in three experimental treatments (control, water deficit and pollinator restriction) at the University of New Brunswick."Ipomoea_traits" includes floral and plant trait measurements (flower width and length, stem diameter, nectar volume and concentration), data on reproductive success (number of fruits and seeds) and data on soil moisture."Ipomoea_reflectance" includes flower spectral reflectance measurements based on three readings per flower and plant.<br>
DOI: 10.5281/zenodo.8265993
title: MODELLING GLOBAL ISOPRENE EMISSIONS WITH A SIMPLIFIED PROCESS BASED APPROACH DRIVEN BY THE P-MODEL

description: Data upload as part of the Master's thesis requirements for the MSc in Computational Methods in Ecology and Evolution at Imperial College, London.
DOI: 10.5281/zenodo.8265992
title: MODELLING GLOBAL ISOPRENE EMISSIONS WITH A SIMPLIFIED PROCESS BASED APPROACH DRIVEN BY THE P-MODEL

description: Data upload as part of the Master's thesis requirements for the MSc in Computational Methods in Ecology and Evolution at Imperial College, London.
DOI: 10.6084/m9.figshare.23994150
title: 20230820_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23994150.v1
title: 20230820_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23987850
title: Supplement A: R Code

description: R Code (and partial output) for article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.6084/m9.figshare.23987850.v1
title: Supplement A: R Code

description: R Code (and partial output) for article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.34740/kaggle/dsv/6330339
title: Comprehensive Drug Information Dataset
DOI: 10.5281/zenodo.8266078
title: Endo_TS1_G03_PCM_chlorobenzene_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8266077
title: Endo_TS1_G03_PCM_chlorobenzene_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5519/qd.o6ei4ar6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (31 records)
DOI: 10.5519/qd.b2dg2j87
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23 records)
DOI: 10.6084/m9.figshare.23994126
title: latest_truthy_data_filtered.tar.bz2

description: The truthy data from 30.06.2023 from the Wikimedia repository we used to replicate WDBench.The data has been filtered for direct properties only, in accordance with WDBench, then compressed prior to sharing it on Figshare.
DOI: 10.6084/m9.figshare.23994126.v2
title: latest_truthy_data_filtered.tar.bz2

description: The truthy data from 30.06.2023 from the Wikimedia repository we used to replicate WDBench.The data has been filtered for direct properties only, in accordance with WDBench, then compressed prior to sharing it on Figshare.
DOI: 10.6084/m9.figshare.23994126.v1
title: latest_truthy_data_filtered.tar.bz2

description: The truthy data from 30.06.2023 from the Wikimedia repository we used to replicate WDBench.The data has been filtered for direct properties only, in accordance with WDBench, then compressed prior to sharing it on Figshare.
DOI: 10.5519/qd.056fs3je
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.6084/m9.figshare.23994213
title: Spreadsheets of SIMS carbon isotope data and EPMA elemental concentration data of all analyzed spots on authigenic carbonates within post-Marinoan cap carbonates from the Doushantuo Formation at Huajipo, South China

description: Spreadsheets of SIMS carbon isotope data and EPMA elemental concentration data of all analyzed spots on authigenic carbonates within post-Marinoan cap carbonates from the Doushantuo Formation at Huajipo, South China (Excel spreadsheets)
DOI: 10.6084/m9.figshare.23994213.v1
title: Spreadsheets of SIMS carbon isotope data and EPMA elemental concentration data of all analyzed spots on authigenic carbonates within post-Marinoan cap carbonates from the Doushantuo Formation at Huajipo, South China

description: Spreadsheets of SIMS carbon isotope data and EPMA elemental concentration data of all analyzed spots on authigenic carbonates within post-Marinoan cap carbonates from the Doushantuo Formation at Huajipo, South China (Excel spreadsheets)
DOI: 10.5281/zenodo.8242144
title: Changes in oceanic radiocarbon and CFCs since the 1990s

description: This directory contains the MITgcm ECCOv4-TM simulation output used in "Changes in oceanic radiocarbon and CFCs since the 1990s" (Lester et al., 2023) submitted to the Journal of Geophysical Research: Oceans. Ocean tracer simulations were created using transports matrices (TMs) derived from state estimates from the Estimating the Climate and Circulation of the Ocean version 4 (ECCOv4) based on a global configuration of the MITgcm model (MITgcm ECCOv4-TM). The monthly-mean TMs and the transport matrix method was used to simulate CFC-11, CFC-12 and abiotic DIC and <sup>14</sup>C in DIC. CFC concentrations were converted to partial pressures (pCFC) by dividing by their solubility functions.<br> <br> Output is provided as Matlab .mat files. Files are named as MITgcm_ECCOv4TM_XXX.mat, where XXX is one of D14C, DIC14, DIC, pCFC11 and pCFC12 and contains annual mean fields for: Delta-14C [per mil], DIC14 concentration [mol/m<sup>3</sup>], DIC concentration [mol/m<sup>3</sup>], pCFC-11 concentration [ppt] and pCFC-12 concentration [ppt] respectively. For full details about the simulations and results see Lester et al. (2023).
DOI: 10.5281/zenodo.8242143
title: Changes in oceanic radiocarbon and CFCs since the 1990s

description: This directory contains the MITgcm ECCOv4-TM simulation output used in "Changes in oceanic radiocarbon and CFCs since the 1990s" (Lester et al., 2023) submitted to the Journal of Geophysical Research: Oceans. Ocean tracer simulations were created using transports matrices (TMs) derived from state estimates from the Estimating the Climate and Circulation of the Ocean version 4 (ECCOv4) based on a global configuration of the MITgcm model (MITgcm ECCOv4-TM). The monthly-mean TMs and the transport matrix method was used to simulate CFC-11, CFC-12 and abiotic DIC and <sup>14</sup>C in DIC. CFC concentrations were converted to partial pressures (pCFC) by dividing by their solubility functions.<br> <br> Output is provided as Matlab .mat files. Files are named as MITgcm_ECCOv4TM_XXX.mat, where XXX is one of D14C, DIC14, DIC, pCFC11 and pCFC12 and contains annual mean fields for: Delta-14C [per mil], DIC14 concentration [mol/m<sup>3</sup>], DIC concentration [mol/m<sup>3</sup>], pCFC-11 concentration [ppt] and pCFC-12 concentration [ppt] respectively. For full details about the simulations and results see Lester et al. (2023).
DOI: 10.5281/zenodo.8266172
title: Endo_TS1_G16_PCM_PM7_DCM_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8266171
title: Endo_TS1_G16_PCM_PM7_DCM_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.23994243
title: Sample_sequences_metadata

description: Sample_sequences_metadata
DOI: 10.6084/m9.figshare.23994243.v1
title: Sample_sequences_metadata

description: Sample_sequences_metadata
DOI: 10.6084/m9.figshare.23717763
title: ScoutSL Artifacts

description: Artifacts for ScoutSL: Survey Responses and Offline Schema
DOI: 10.6084/m9.figshare.23056304
title: Data and Code for Multinutrition_Final_2023.zip

description: This folder contains all the necessary information including data and code for the manuscript entitled "Species trait diversity sustains multiple dietary nutrients supplied by freshwater fisheries” by Heilpern et al.
DOI: 10.6084/m9.figshare.23056304.v1
title: Data and Code for Multinutrition_Final_2023.zip

description: This folder contains all the necessary information including data and code for the manuscript entitled "Species trait diversity sustains multiple dietary nutrients supplied by freshwater fisheries” by Heilpern et al.
DOI: 10.5281/zenodo.8250828
title: Geospatial Dataset Estimating Corn and Soy Inputs for Biofuel Production

description: This dataset provides estimates for the corn and soybean biomass used for biofuel production (corn ethanol and soybean biodiesel, respectively) based on the geographic locations of biofuel plants provided by US Energy Information Administration for the 2017 USDA crop census data. County-level biomass was allocated to each biofuel plant based on distance to the plant assuming all biomass is located at each county’s centroid. If two plants were competing for the same county’s biomass, priority was given to the biofuel plant with the highest production capacity. County-level biomass estimation was validated using reported state-level biomass to biofuel values. Reported values could only be found for 11 states, but the mean difference between reported and estimated biomass used for biofuel production was 1.4% for corn ethanol.
DOI: 10.5281/zenodo.8250829
title: Geospatial Dataset Estimating Corn and Soy Inputs for Biofuel Production

description: This dataset provides estimates for the corn and soybean biomass used for biofuel production (corn ethanol and soybean biodiesel, respectively) based on the geographic locations of biofuel plants provided by US Energy Information Administration for the 2017 USDA crop census data. County-level biomass was allocated to each biofuel plant based on distance to the plant assuming all biomass is located at each county’s centroid. If two plants were competing for the same county’s biomass, priority was given to the biofuel plant with the highest production capacity. County-level biomass estimation was validated using reported state-level biomass to biofuel values. Reported values could only be found for 11 states, but the mean difference between reported and estimated biomass used for biofuel production was 1.4% for corn ethanol.
DOI: 10.34740/kaggle/dsv/6328855
title: 📒Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.34740/kaggle/dsv/6330679
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.8266231
title: pseudobranchus_striatus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8266230
title: pseudobranchus_striatus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8266211
title: Supporting Information: High-Throughput Discovery of Electrides

description: <strong>High-Throughput Discovery of Electrides</strong> This repository hosts part of the results of chapter 5 of the PhD thesis ("Theory and Discovery of Electride Materials) of Chengcheng Xiao at Imperial College London. Specifically, it contains the high-throughput screening results of electride materials performed using computational approaches. The results are stored in the form of a pickled pandas DataFrame (https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_pickle.html) with pickle protocol 3 (https://docs.<br> python.org/3/library/pickle.html). The results (Electride_Screening.pkl) can be read using the following Python code: <pre><code class="language-python">import pandas as pd mpdf=pd.read_pickle('Electride_Screening.pkl')</code></pre> The keys used and their meanings are listed here: - material_id: Identification string from the Materials Project.<br> - incar: VASP-INCAR file.<br> - poscar: VASP-POSCAR file.<br> - potcar: VASP-POTCAR (header only) file.<br> - kpoints: VASP-KPOINTS file for HTP screening.<br> - WITH_ELF_MAX: Has local ELF maxima with &gt; 3 neighbors?<br> - MAX_ELF: The value of the identified ELF maxima.<br> - ELF_LAPLACE: Laplacian of the ELF at the identified site.<br> - DIST2ATOM: Distance from identified site to surrounding atoms.<br> - MAX_OCC: The occupation associated with the identified site.<br> - ATOM_TYPE: The type of atoms surrounding the identified site.<br> - NUM_ATOM: The number of atoms surrounding the identified site.<br> - MAG_SYS: Is the system magnetic?<br> - INTERSTITIAL_STRUCT: Structure file with interstitial site labeled as Z.<br> - SPIN_CHANNEL: If is a magnetic system, which spin channel is used?<br> - WITH_CHG_MAX: Has local charge maxima?<br> - MAXOCC_NORMALIZED: Occupation normalized to be between 0 and 2.<br> - Ze: figure of merit [(MAXOCC_NORMALIZED/2+MAX_ELF)/2].
DOI: 10.5281/zenodo.8266210
title: Supporting Information: High-Throughput Discovery of Electrides

description: <strong>High-Throughput Discovery of Electrides</strong> This repository hosts part of the results of chapter 5 of the PhD thesis ("Theory and Discovery of Electride Materials) of Chengcheng Xiao at Imperial College London. Specifically, it contains the high-throughput screening results of electride materials performed using computational approaches. The results are stored in the form of a pickled pandas DataFrame (https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_pickle.html) with pickle protocol 3 (https://docs.<br> python.org/3/library/pickle.html). The results (Electride_Screening.pkl) can be read using the following Python code: <pre><code class="language-python">import pandas as pd mpdf=pd.read_pickle('Electride_Screening.pkl')</code></pre> The keys used and their meanings are listed here: - material_id: Identification string from the Materials Project.<br> - incar: VASP-INCAR file.<br> - poscar: VASP-POSCAR file.<br> - potcar: VASP-POTCAR (header only) file.<br> - kpoints: VASP-KPOINTS file for HTP screening.<br> - WITH_ELF_MAX: Has local ELF maxima with &gt; 3 neighbors?<br> - MAX_ELF: The value of the identified ELF maxima.<br> - ELF_LAPLACE: Laplacian of the ELF at the identified site.<br> - DIST2ATOM: Distance from identified site to surrounding atoms.<br> - MAX_OCC: The occupation associated with the identified site.<br> - ATOM_TYPE: The type of atoms surrounding the identified site.<br> - NUM_ATOM: The number of atoms surrounding the identified site.<br> - MAG_SYS: Is the system magnetic?<br> - INTERSTITIAL_STRUCT: Structure file with interstitial site labeled as Z.<br> - SPIN_CHANNEL: If is a magnetic system, which spin channel is used?<br> - WITH_CHG_MAX: Has local charge maxima?<br> - MAXOCC_NORMALIZED: Occupation normalized to be between 0 and 2.<br> - Ze: figure of merit [(MAXOCC_NORMALIZED/2+MAX_ELF)/2].
DOI: 10.5281/zenodo.8257986
title: TG 100 focused peer reviewed article summary - June2022

description: A collection of peer reviewed papers that use TG-100 tools. This reference matrix gives a quick way to browse relevant publications
description: Upload from the AAPM WG100 repository
DOI: 10.5281/zenodo.8257987
title: TG 100 focused peer reviewed article summary - June2022

description: A collection of peer reviewed papers that use TG-100 tools. This reference matrix gives a quick way to browse relevant publications
description: Upload from the AAPM WG100 repository