cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17863/cam.53984
title: Research data supporting "Bidirectional dynamic scaling in an isolated Bose gas far from equilibrium"

description: Measured atom numbers, energies, and momentum distributions, as described in the linked manuscript. The readme files provided include the necessary information to interpret and use the data.
DOI: 10.17863/cam.65004
title: Research data: Machine learning a general-purpose interatomic potential for silicon

description: This data set contains the GAP model file and the original DFT training data for the general-purpose silicon interatomic potential described in the associated publication
DOI: 10.17863/cam.90395
title: Data Supporting: Tunable Multiband Halide Perovskite Tandem Photodetectors with Switchable Response

description: Data supporting the publication entitled "Tunable Multiband Halide Perovskite Tandem Photodetectors with Switchable Response" This data set includes information on the modelling of the photodetector behaviour, calculating the impact of perovskite band gap and thickness. The dataset contains the data of the optimisation of narrowband detection performance, using EQE scans. The charactersation of photodetector performance, including noise and response speed. Finally, data on the demonstration of an encrypted comms. method is contained. All data was obtained as CSV files and processed in excel
DOI: 10.17863/cam.6391
title: Research data supporting "Efficient singlet exciton fission in pentacene prepared from a soluble precursor"

description: Underlying datasets for all figures in the Manuscript and the SI. Data comprises results from absorption-, photoluminescence-, ellipsometry-, transient spectroscopy-, FTIR-, X-ray and atomic force microscopy measurements.
DOI: 10.17863/cam.109542
title: Research data supporting "Deuterium magnetic resonance imaging of serine metabolism in mouse models of glioblastoma"

description: Zip folder with 7 Excel files containing the raw measurements of Figure 2_C_D_raw (2C-D Deuterated serine, formate, 5,10‑methylene-THF, glycine and water concentrations in medium from (C) A11 and (D) S2 cells. DMSO-d6 was used as a concentration standard.), Figure 3_raw (SHMT1,2 and MTHFD1/2 expression in A11 and S2 tumor extracts were assessed by quantitative real-time PCR. For normalization, Ct values of beta-actin were subtracted from Ct values of SHMT1,2 and MTHFD1/2.), Figure 4_raw (2H NMR measurements of [2H]formate (A), HDO (B), [2H]glycine (C), [14,14-2H2] 5,10-methylene tetrahydrofolate (D) and [2,3,3-2H2]serine (E) concentrations in S2 cell culture medium 5 h after the addition of 5 mM [2,3,3-2H3]serine and in the presence and absence (untreated) of SHMT and MTHDF2 inhibitors. Pearson correlation analysis of HDO and formate concentrations (F). Two-tailed, Pearson p and r values are shown), Figure 5_raw (Representative 2H MR spectra of labelled serine and water in A11 (A-C) and S2 (G-I) tumors before, and 20 and 60 min post- [2,3,3-2H3]serine injection. The HDO and serine peaks were fitted individually using prior knowledge, as described in Materials and Methods. Spectroscopic measurements of HDO concentrations in A11 and S2 tumors and in the brains of non-tumor-bearing controls following [2,3,3-2H3]serine injection (1 g/kg) (M). Rate of labeled water production in the brains of non-tumor-bearing control mice and in A11 and S2 tumors (N). [2,3,3-2H3] serine concentrations in A11 and S2 tumors and in the brains of non-tumor-bearing controls following [2,3,3-2H3]serine injection (1 g/kg) (O).), Figure 6C_raw (Concentrations of [2,3,3-2H3]serine, [2H]formate and [14,14-2H2] 5,10‑methylene-THF from 2H NMR spectra of A11 and S2 tumor extracts were determined by fitting their resonances to Lorenztian lineshapes and taking the integrals.). Supplementary_Figure_1_raw (1B Protein expression levels of TOMM20 were evaluated in S2 and A11 tumors by western blot and band intensities relative to GAPDH determined by densitometry.), Supplementary_Figure_2_raw (Expression of amino acid transporter genes in A11 and S2 cells determined by RNA sequencing.)
DOI: 10.17863/cam.57674
title: Research data supporting Fully-Printed Flexible Plasmonic Metafilms with Directional Color Dynamics

description: Zip folder containing dataset for all main figures. Fig.1 is numerically simulated data by finite-difference time-domain calculation software (Lumerical Solutions). Fig.2 are optical images obtained using a CCD camera (Infinity 2). Fig.3 and Fig.4 are spectra data by bright/dark field spectroscopy. See the main manuscript (open access) for more details of how the data were generated, collected and processed.
DOI: 10.17863/cam.13131
title: Requests made for restricted material on the institutional repository (Apollo) of the University of Cambridge May 2015 to July 2017

description: This dataset repesents the requests received through the Office of Scholarly Communication (University of Cambridge) http://osc.cam.ac.uk/ Request a Copy service. A proportion of the items disseminated in the Apollo repository at the University of Cambridge https://www.repository.cam.ac.uk/ have access restrictions, whether due to copyright, author choice (eg for theses) etc. The Request a Copy service allows interested parties to communicate directly with the author or creator of the item and request a copy. This dataset contains data on such requests made from 20 May 2015 to 31 July 2017.
DOI: 10.17863/cam.104858
title: Research data supporting "Few-emitter lasing in single ultra-small nanocavities"

description: All data provided in the figures of the paper which is open access at DOI: 10.1515/nanoph-2023-0706. Fig.1 is for light input-output relations from theory model, Fig.2 is experimental data for emission spectra under pulsed excitation from increasing dye molecules in each gap, and vs pump power, Fig.3 shows data for emission spectrum vs power, and coherence visibility above and below threshold, as well as angular emission characteristics. The open access paper contains all the information about how the experiment and theory give this data.
DOI: 10.17863/cam.104367
title: Research Data supporting "On the application of components manufactured with stereolithographic 3D printing in high vacuum systems"

description: Dataset supporting "On the application of components manufactured with stereolithographic 3D printing in high vacuum systems". Analysis on pump down curves can be reproduced using 'PumpingCurveProcessing.m' and loading in the 'workspace.mat' variable file. Analysis of mass spectra can be generated using 'MassSpectraAnalysis.mlx', the script will automatically process/analyse the 'Raw Data' folder and output the publication figures. Final accepted figures are also included in png, pdf and eps formats under the 'Paper Figures' folder.
DOI: 10.17863/cam.71186
title: Research data supporting Efficient Energy Transport in an Organic Semiconductor Mediated by Transient Exciton Delocalization

description: This dataset provides the data that underlies the paper "Efficient Energy Transport in an Organic Semiconductor Mediated by Transient Exciton Delocalization". Details on the organization of the dataset are provided in a read-me file in the dataset.
DOI: 10.17863/cam.17101
title: Research data supporting 'Assessing mechanical energy harvesting performance of ferroelectric polymer nanowires grown by template wetting'

description: This dataset contains the experimental and computational results used to create the figures found in the associated paper
DOI: 10.17863/cam.88960
title: Research data supporting "Cleaning of simple cohesive soil layers in a radial flow cell"

description: The data set contains all the data which appear as plots in the paper. This includes wall shear stress distributions, deposit thickness profiles, cleaning rate kinetic constants and correlations between these parameters. Spreadsheets contain futher details.
DOI: 10.17863/cam.48821
title: Research data supporting "Buoyancy-driven exchange flows in inclined ducts"

description: We provide: 1. Regime data, 2. Mass flux data, 3. Interfacial thickness data, 4. Data from Kiel (1991). For more information and details about the datasets, please refer to the README file.
DOI: 10.17863/cam.46063
title: Research data supporting [Nanoscopy through a plasmonic nano-lens]

description: The experimental data were taken in the NanoPhotonics Group at the Cavendish Laboratory (University of Cambridge). The dataset is for the journal article, "Nanoscopy through a plasmonic nano-lens". Images and spectra were taken using a monochromator (Andor Shamrock SR-303i), equipped with an electron-multiplying CCD camera (Andor Newton 970 EMCCD). For a description of the setup and data collection methods, see the "Methods" section of the manuscript. We acknowledge EPSRC grants EP/N016920/1, EP/L027151/1, and NanoDTC EP/L015978/1. OSO acknowledges support of Rubicon fellowship from the Netherlands Organisation for Scientific Research, and RC thanks support from Trinity College Cambridge.
DOI: 10.15468/dl.v3h2e3
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adelpha basiloides H.Bates, 1865"
 ]
}

 The dataset's 2 records were derived from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037912-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf953x
title: Occurrence Download

description: A dataset containing 13056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Culex coronator Dyar & Knab, 1906"
 ]
}

 The dataset includes 13056 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037916-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.92245
title: Research data supporting Probabilistic selection and design of concrete using machine learning

description: The first tab contains machine learning training data originating from the Tailored Reinforced Concrete Infrastructure research project [EP/N017668/1] contaning details of concrete mix designs as well as resulting concrete properties. Concrete properties include compressive strength, saturated-surface-dry density, carbonation coefficient and estimated economic cost. Units of all values are given. The second tab contains predictions of these properties for blind mixes, obtained using the machine learning methodology outlined in the accompanying paper.
DOI: 10.17863/cam.65339
title: Data for: Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach

description: Summary statistics for the GWAS of childhood maltreatment. We have provided anonymised summary statistics. This includes SNP identifiers, chromosome, position, effect allele and non-effect allele, sample size, regression beta, and associated standard errors and p-values. Summary statistics are for the meta-analysis (N = 185,414). A readme is included which provides information about column headings.
DOI: 10.17863/cam.83932
title: Research data supporting "Optical suppression of energy barriers in single molecule-metal binding"

description: Figure 1B: SERS spectra from BPT NPoM every 100ms at 20µW, showing no picocavities at low power. Figure 2: (A) Time-series SERS spectra of BPT for 50 µW 633 nm laser irradiation, showing examples of the nanocavity, a picocavity, and a flare in time-series. (B) Time-series SERS spectra of MBN for 50 µW irradiation. (C) Time-series SERS spectra of MPy for 10 µW irradiation. (D-F) Example SERS spectra from the nanocavity, a picocavity, and a flare. (G-I) DFT-calculated Raman spectra before the scaling by a factor of 0.97 (.csv and .out), with the corresponding molecular structures (.out). Figure 3: (A) Raw formation times and (B) lifetimes of picocavities, for the example histograms (with bin size of 20 and 30 respectively) in log scale. (C) Formation rate of picocavities at room and cryogenic temperatures, with critical intensities. (D) Formation rate of flares, with critical intensities. (E) Critical laser intensity required for picocavity and flare formation (from C,D), and saturation decay rate of slow picocavities (from F), vs molecule-metal binding energy. (F) Decay rate of picocavities in log scale, split into two classes (observed as in B): fast (&lt;10 s for BPT, &lt;25 s for MBN, MPy) and slow lifetimes. (G) Decay rate of flares, with fast (&lt;2 s) and slow lifetimes. Figure 4E: Simulated energy for picocavities when molecule tip-adatom separation decreases by light vs without molecule, showing reduced barrier height. Note y values start from Row 87. Figure 5: (A) Simulated dependence of energy barrier and picocavity formation rate vs laser power in Model 2 for BPT. (B,E) DFT calculated charge induced on the tip atom (here N for MPy) when the gold adatom field is treated as an optical dipole of strength p at distance z away. (C,F,I) Induced charge q mapped vs adatom position, with z and angle θ on planes perpendicular to the aromatic ring. (D) Extracted energy barriers for different molecules from data. (G) Induced charge q from DFT tracks tip atom polarizability. (H) Molecule-metal binding energy well depth, and critical laser intensity, required for picocavity and flare formation, vs induced charge q at the molecule tip atom.
DOI: 10.5281/zenodo.14510240
title: Deconstructing Faith: Theological Inquiry and Ethical Reimagining in Christianity, Judaism, and Islam

description: Abstract

 

This paper explores the role of deconstruction theology within the context of the three Abrahamic faiths—Christianity, Judaism, and Islam—to address the evolving ethical, cultural, and technological challenges of the modern world. Grounded in Jacques Derrida’s philosophical framework of deconstruction, this study interrogates traditional theological interpretations, hierarchical structures, and exclusionary practices, revealing opportunities for ethical renewal, inclusivity, and cultural relevance.

 

By engaging core doctrines such as the Trinity, halakha, and shari’ah, the paper highlights how deconstruction theology exposes the constructed nature of sacred texts, traditions, and power systems. It argues that these theological systems, while deeply rooted in history, must remain dynamic and responsive to contemporary realities such as gender equality, LGBTQ+ inclusion, artificial intelligence, and environmental stewardship.

 

The study draws upon interdisciplinary sources, including The Mind of the Machine (Froom & Campbell), Healing Beats: Bad Bunny and the Quest for Redemption, and Repair Theology: Restoring Brokenness Through Faith, alongside classical works by Aquinas, Maimonides, and Al-Ghazali. Specific case studies examine how faith traditions reinterpret doctrines to reconcile tradition and innovation, fostering ethical action rooted in justice, inclusion, and stewardship.

 

The paper concludes that deconstruction theology serves as a transformative bridge, enabling faith communities to critique oppressive systems, embrace diversity, and engage technological and ecological challenges with integrity. By reclaiming shared ethical principles—justice, compassion, and responsibility—across Abrahamic traditions, deconstruction invites a reconstructed faith that aligns spirituality with the ethical imperatives of a rapidly evolving world.

 

Keywords: Deconstruction Theology, Abrahamic Faiths, Jacques Derrida, Ethical Renewal, Artificial Intelligence, Gender Inclusion, Environmental Stewardship, Modern Theology, Halakha, Shari’ah.
DOI: 10.5281/zenodo.14510241
title: Deconstructing Faith: Theological Inquiry and Ethical Reimagining in Christianity, Judaism, and Islam

description: Abstract

 

This paper explores the role of deconstruction theology within the context of the three Abrahamic faiths—Christianity, Judaism, and Islam—to address the evolving ethical, cultural, and technological challenges of the modern world. Grounded in Jacques Derrida’s philosophical framework of deconstruction, this study interrogates traditional theological interpretations, hierarchical structures, and exclusionary practices, revealing opportunities for ethical renewal, inclusivity, and cultural relevance.

 

By engaging core doctrines such as the Trinity, halakha, and shari’ah, the paper highlights how deconstruction theology exposes the constructed nature of sacred texts, traditions, and power systems. It argues that these theological systems, while deeply rooted in history, must remain dynamic and responsive to contemporary realities such as gender equality, LGBTQ+ inclusion, artificial intelligence, and environmental stewardship.

 

The study draws upon interdisciplinary sources, including The Mind of the Machine (Froom & Campbell), Healing Beats: Bad Bunny and the Quest for Redemption, and Repair Theology: Restoring Brokenness Through Faith, alongside classical works by Aquinas, Maimonides, and Al-Ghazali. Specific case studies examine how faith traditions reinterpret doctrines to reconcile tradition and innovation, fostering ethical action rooted in justice, inclusion, and stewardship.

 

The paper concludes that deconstruction theology serves as a transformative bridge, enabling faith communities to critique oppressive systems, embrace diversity, and engage technological and ecological challenges with integrity. By reclaiming shared ethical principles—justice, compassion, and responsibility—across Abrahamic traditions, deconstruction invites a reconstructed faith that aligns spirituality with the ethical imperatives of a rapidly evolving world.

 

Keywords: Deconstruction Theology, Abrahamic Faiths, Jacques Derrida, Ethical Renewal, Artificial Intelligence, Gender Inclusion, Environmental Stewardship, Modern Theology, Halakha, Shari’ah.
DOI: 10.5281/zenodo.7916382
title: ISPRA Linked Open Dataset part of the WHOW-KG

description: This linked open dataset contains Italian data for:



soil consumption (soilc);

spread in water of Ostreopsis ovata (ostreopsis);

environmental protection interventions (dissesto);

Italian national tide gauge network (rmn);

Italian National Wave Network (ron);

bathing waters (bathw).
DOI: 10.5281/zenodo.14338892
title: I-Seed_DS7 – Characterization of active laser fluorescence system

description: In the last two decades, unmanned aerial vehicle (UAV) technology has been widely utilized as an aerial survey method. Recently, a unique system of self-deployable and biodegradable microrobots akin to winged achene seeds was introduced to monitor environmental parameters in the air above the soil interface, which requires geo-localization. This research focuses on detecting these artificial seed-like objects from UAV RGB images in real-time scenarios, employing the object detection algorithm YOLO (You Only Look Once). Three environmental parameters, namely, daylight condition, background type, and flying altitude, were investigated to encompass varying data acquisition situations and their influence on detection accuracy. Artificial seeds were detected using four variants of the YOLO version 5 (YOLOv5) algorithm, which were compared in terms of accuracy and speed. The most accurate model variant was used in combination with slice-aided hyper inference (SAHI) on full resolution images to evaluate the model’s performance. It was found that the YOLOv5n variant had the highest accuracy and fastest inference speed. After model training, the best conditions for detecting artificial seed-like objects were found at a flight altitude of 4 m, on an overcast day, and against a concrete background, obtaining accuracies of 0.91, 0.90, and 0.99, respectively. YOLOv5n outperformed the other models by achieving a mAP0.5 score of 84.6% on the validation set and 83.2% on the test set. This study can be used as a baseline for detecting seed-like objects under the tested conditions in future studies.
DOI: 10.5281/zenodo.14509455
title: I-Seed_DS7 – Characterization of active laser fluorescence system

description: Dataset developed within the I-Seed project, funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101017940
DOI: 10.5281/zenodo.14338891
title: I-Seed_DS7 – Characterization of active laser fluorescence system

description: Dataset developed within the I-Seed project, funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101017940
DOI: 10.5281/zenodo.14387323
title: I-Seed_DS7 – Characterization of active laser fluorescence system

description: This record publishes the manuscript associated to I-Seed_DS7 – Characterization of active laser fluorescence system

The related datasets can be downloaded through the following record: https://doi.org/10.5281/zenodo.14221615

Abstract: In the last two decades, unmanned aerial vehicle (UAV) technology has been widely utilized as an aerial survey method. Recently, a unique system of self-deployable and biodegradable microrobots akin to winged achene seeds was introduced to monitor environmental parameters in the air above the soil interface, which requires geo-localization. This research focuses on detecting these artificial seed-like objects from UAV RGB images in real-time scenarios, employing the object detection algorithm YOLO (You Only Look Once). Three environmental parameters, namely, daylight condition, background type, and flying altitude, were investigated to encompass varying data acquisition situations and their influence on detection accuracy. Artificial seeds were detected using four variants of the YOLO version 5 (YOLOv5) algorithm, which were compared in terms of accuracy and speed. The most accurate model variant was used in combination with slice-aided hyper inference (SAHI) on full resolution images to evaluate the model’s performance. It was found that the YOLOv5n variant had the highest accuracy and fastest inference speed. After model training, the best conditions for detecting artificial seed-like objects were found at a flight altitude of 4 m, on an overcast day, and against a concrete background, obtaining accuracies of 0.91, 0.90, and 0.99, respectively. YOLOv5n outperformed the other models by achieving a mAP0.5 score of 84.6% on the validation set and 83.2% on the test set. This study can be used as a baseline for detecting seed-like objects under the tested conditions in future studies.
DOI: 10.5281/zenodo.14507539
title: connectomedf test data

description: Test data for connectomedf library.
DOI: 10.17863/cam.25991
title: Research data supporting: Where do they come from? The educational background of people working in scholarly communication

description: This dataset contains information from a global survey looking at the educational background of those currently working in scholarly communication. The data was collected via an online survey in October 2016.
DOI: 10.17863/cam.12577
title: Research Data Supporting "Extending Horsetail Matching for Optimization Under Probabilistic, Interval and Mixed Uncertainties"

description: This data comprises a python module that implements the horsetail matching method presented in this publication, and can thus be used to recreate the results in the paper. This python module is also available at: http://www-edc.eng.cam.ac.uk/aerotools/horsetailmatching/, but is archived here.