cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zn66tdcbh2.1
title: Replication Data for: Understanding Customers’ Insights Using Attribution Theory: A Text Mining and Rule-Based Machine Learning Two-Step Multifaceted Method

description: This dataset includes replication data for the paper: "Sann R, Lai P-C, Liaw S-Y. Understanding Customers’ Insights Using Attribution Theory: A Text Mining and Rule-Based Machine Learning Two-Step Multifaceted Method. Applied Sciences. 2023; 13(5):3073. https://doi.org/10.3390/app13053073".
DOI: 10.5517/ccdc.csd.cc2dg7lq
title: CCDC 2218223: Experimental Crystal Structure Determination

description: Related Article: Olesya V. Pokidova, Veronika O. Novikova, Nina S. Emel'yanova, Alexandra Yu. Kormukhina, Alexander V. Kulikov, Andrey N. Utenyshev, Vladimir A. Lazarenko, Nikolai S. Ovanesyan, Arina A. Starostina, Natalya A. Sanina|2023|Dalton Trans.|52|2641|doi:10.1039/D2DT04047F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dcpt9
title: CCDC 2215781: Experimental Crystal Structure Determination

description: Related Article: D. Erzunov, A. Rassolova, R. Rumyantsev, V. Maizlish, T. Tikhomirova, A. Vashurin|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|172|doi:10.1107/S2056989023000518
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dcpvb
title: CCDC 2215782: Experimental Crystal Structure Determination

description: Related Article: D. Erzunov, A. Rassolova, R. Rumyantsev, V. Maizlish, T. Tikhomirova, A. Vashurin|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|172|doi:10.1107/S2056989023000518
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3kty
title: CCDC 2237760: Experimental Crystal Structure Determination

description: Related Article: A.W. Temesgen, A.P. Novikov, A.G. Tskhovrebov, E.K. Kultyshkina, T.A. Le|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|132|doi:10.1107/S2056989023000634
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5445/ir/1000137134
title: Two-step absorption instead of two-photon absorption in 3D nanoprinting
DOI: 10.5517/ccdc.csd.cc2834cx
title: CCDC 2088388: Experimental Crystal Structure Determination

description: Related Article: Diego A. Resendiz-Lara, Alfredo Rosas-Sánchez, Daisuke Hashizume, José E. Barquera-Lozada, R. Alfredo Toscano, José G. López-Cortés, M. Carmen Ortega-Alfaro|2023|Dalton Trans.|52|2722|doi:10.1039/D2DT03700A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27dkt1
title: CCDC 2067663: Experimental Crystal Structure Determination

description: Related Article: Diego A. Resendiz-Lara, Alfredo Rosas-Sánchez, Daisuke Hashizume, José E. Barquera-Lozada, R. Alfredo Toscano, José G. López-Cortés, M. Carmen Ortega-Alfaro|2023|Dalton Trans.|52|2722|doi:10.1039/D2DT03700A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27dks0
title: CCDC 2067662: Experimental Crystal Structure Determination

description: Related Article: Diego A. Resendiz-Lara, Alfredo Rosas-Sánchez, Daisuke Hashizume, José E. Barquera-Lozada, R. Alfredo Toscano, José G. López-Cortés, M. Carmen Ortega-Alfaro|2023|Dalton Trans.|52|2722|doi:10.1039/D2DT03700A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f5751
title: CCDC 2239352: Experimental Crystal Structure Determination

description: Related Article: C. Näther, I. Jess|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|136|doi:10.1107/S2056989023000920
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dplpd
title: CCDC 2225294: Experimental Crystal Structure Determination

description: Related Article: Anastasia Yu. Gitlina, Farzaneh Fadaei-Tirani, Kay Severin|2023|Dalton Trans.|52|2833|doi:10.1039/D2DT04039E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f5r3h
title: CCDC 2239846: Experimental Crystal Structure Determination

description: Related Article: M.A. Benaouida, A. Benosmane, M. Boutebdja, H. Merazig|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|142|doi:10.1107/S2056989023001068
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q4m9s
title: CCDC 1583365: Experimental Crystal Structure Determination

description: Related Article: A. Subashini, K. Ramamurthi, R. Ramesh Babu, R. Philip, H. Stoeckli-Evans|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|146|doi:10.1107/S2056989023001111
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.2uxda9xm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1244 records)
DOI: 10.5445/ir/1000096960
title: Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019

description: Basisdaten (Volumendaten in Polarkoordinaten) des Dual-Pol Doppler X-Band Radars Meteor50DX im Rahmen der MOSES Messkampagne "Hydrologische Extreme" 2019. Zeitliche Auflösung 5 Minuten, 100 km Reichweite, 9 Elevationen von 0,7 bis 30 Grad, zusätzliche Elevation bei 90 Grad. Standort des Radars bei Dittersdorf (untere Windkraftanlage) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
DOI: 10.5445/ir/1000100165
title: Implementation of Robust/Fault-Tolerant Secure Logging Scheme described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, DOI: 10.1007/978-3-319-68637-0_6)
DOI: 10.5523/bris.76pyal8dv5yn2w9fdhl6tlo2s
title: Data for high frequency TCP actuators

description: Data for paper: T.L. You, J. Rossiter, H. Philamore, Robotic Fish driven by Twisted and Coiled Polymer Actuators at High Frequencies, 6th IEEE-RAS International Conference on Soft Robotics
DOI: 10.5445/ir/1000086658
title: The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles

description: A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in-situ balloon observations have been performed . The finally selected wavenumber range was 831–832.5 cm-1. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40-45%, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 μm3cm-3, a detection limit of about 0.1–0.2 μm3cm-3 and a vertical resolution of around 3 km. Comparisons with co-incident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.
DOI: 10.5281/zenodo.7681579
title: Ndoro village load demand dataset

description: Dataset of Ndoro village hourly-resolution load demand data computed from aggregated data collected during on-field campagns in 2019-2020. The village of Ndoro is located along the national street, in the Administrative Post of Ndoro, District of Caia, Sofala Province, Mozambique, at coordinates 34°56'35.6''E 18°6'59.5''S. The dataset, built in excel, is structured as follows: The "Baseload demand" sheet reports the parameters of the appliances of the 69 users under the 14 classes. The parameters are defined according to the v0.3.1 of RAMP, an open-source software for the stochastic simulation of a user-driven energy demand time series, with existing applications in off-grid rural electrification. The "Baseload results" sheet reports the RAMP simulation results for the first year of the modelling period, differentiating between residential demand, productive activities and public services. Four scenarios of demand evolution and associated results are considered in the following sheets, accounting for evolutions estimated from the on-field data collected.The scenarios, showing a progressive upscaling of load demand along the years, introduce: New appliances in Scenario 1 New appliances and new classes of users in Scenario 2 New appliances, new classes of users and new appliances associated to the new classes in Scenario 3 New energy intensive appliances, new classes of users and new appliances associated to the new classes in Scenario 4
DOI: 10.5281/zenodo.7681578
title: Ndoro village load demand dataset

description: Dataset of Ndoro village hourly-resolution load demand data computed from aggregated data collected during on-field campagns in 2019-2020. The village of Ndoro is located along the national street, in the Administrative Post of Ndoro, District of Caia, Sofala Province, Mozambique, at coordinates 34°56'35.6''E 18°6'59.5''S. The dataset, built in excel, is structured as follows: The "Baseload demand" sheet reports the parameters of the appliances of the 69 users under the 14 classes. The parameters are defined according to the v0.3.1 of RAMP, an open-source software for the stochastic simulation of a user-driven energy demand time series, with existing applications in off-grid rural electrification. The "Baseload results" sheet reports the RAMP simulation results for the first year of the modelling period, differentiating between residential demand, productive activities and public services. Four scenarios of demand evolution and associated results are considered in the following sheets, accounting for evolutions estimated from the on-field data collected.The scenarios, showing a progressive upscaling of load demand along the years, introduce: New appliances in Scenario 1 New appliances and new classes of users in Scenario 2 New appliances, new classes of users and new appliances associated to the new classes in Scenario 3 New energy intensive appliances, new classes of users and new appliances associated to the new classes in Scenario 4
DOI: 10.5281/zenodo.7684958
title: Supporting data for Herviou and Bonnet (2023)

description: Supporting data for <strong>Herviou C.</strong>, Bonnet G. (<em>2023</em>). Paleocene-Eocene high-pressure carbonation of Western Alps serpentinites: positive feedback between deformation and CO<sub>2</sub>-CH<sub>4</sub> fluid ingression responsible for slab slicing? Geochemistry, Geophysics, Geosystems.
description: /
DOI: 10.5281/zenodo.7684957
title: Supporting data for Herviou and Bonnet (2023)

description: Supporting data for <strong>Herviou C.</strong>, Bonnet G. (<em>2023</em>). Paleocene-Eocene high-pressure carbonation of Western Alps serpentinites: positive feedback between deformation and CO<sub>2</sub>-CH<sub>4</sub> fluid ingression responsible for slab slicing? Geochemistry, Geophysics, Geosystems.
description: /
DOI: 10.15151/esrf-es-968509327
title: Magnetoelastic coupling between ferroelastic twins and ferromagnetic moments in pyrrhotite

description: Pyrrhotite, Fe7S8, is a naturally occurring mineral of interest because of its large remnant magnetisation. It goes through a NiAs-4C (hexagonal-monoclinic) structural phase transition at approximately 600 K that also corresponds to its ferrimagnetic phase transition. This structural phase transition causes the onset of ferroelastic domains or ‘twins’. In this study, we plan to confirm that ferroelastic domains are unchanged by applying a magnetic field at room temperature, that they disappear above the Néel temperature and study their dynamics as they reform, quantify the degree of magnetoelasticity and study the reorientation of the twin domains as a function of strain.
DOI: 10.25386/genetics.22185853
title: Supplemental Material for Cridland, Contino, and Begun, 2023

description: Supplementary Figures and Tables to accompany SELECTION AND GEOGRAPHY SHAPE MALE REPRODUCTIVE TRACT TRANSCRIPTOMES IN <em>DROSOPHILA MELANOGASTER</em>
DOI: 10.25386/genetics.22185853.v1
title: Supplemental Material for Cridland, Contino, and Begun, 2023

description: Supplementary Figures and Tables to accompany SELECTION AND GEOGRAPHY SHAPE MALE REPRODUCTIVE TRACT TRANSCRIPTOMES IN <em>DROSOPHILA MELANOGASTER</em>
DOI: 10.6084/m9.figshare.22189429
title: dataset

description: <pre><code>article data</code></pre>
DOI: 10.6084/m9.figshare.22189429.v2
title: dataset

description: <pre><code>article data</code></pre>
DOI: 10.6084/m9.figshare.22189429.v1
title: Untitled Item

description: <pre><code>article data</code></pre>
DOI: 10.3886/icpsr38403.v1
title: Evaluation of Technology-based Advocacy Services (ETA), Austin, Texas, 2019-2021
title: Version 1

description: Evaluation of Technology-based Advocacy Services (ETA) is a formative evaluation of technology-based advocacy services for victims of crime at a community violence prevention and intervention program in Austin, Texas. This project examined the formation and implementation of chat and text services on SAFEline, the 24/7 hotline service at SAFE Alliance in Austin, Texas.
description: Both quantitative and qualitative methodology were used to assess the following objectives: How technology-based advocacy is being implemented at SAFEline and used by SAFE Alliance to provide support to service users How advocacy models to support crime victims are being adapted for different technological platforms Who uses technology-facilitated advocacy, their needs, and experiences in seeking services What agency and community supports and resources are needed to implement technology-based advocacy and conduct subsequent process and outcome evaluations. Researchers collected qualitative data for this study which are not currently available. The qualitative data will be made available at a later date.
description: The evaluation team worked with SAFEline advocates to implement a brief client satisfaction survey at the termination of a text or chat sessions. After chat and text sessions where the advocate felt there were no safety concerns for doing so, they sent the service user a short script promoting the study and a secure link to the online survey. Initially, individuals that participated in the brief client survey were given the option to enroll in a drawing for a $25 Amazon gift card for their time and effort. Enrollment in the drawing occurred after consent was given and prior to the participant taking the survey. However, due to low participation in the survey, the project team modified the incentive structure to be able to send all participants in the survey a $10 Amazon gift card for their time and effort. The change in incentive structure led to a sharp increase in participation in the brief client survey.
description: The survey included questions about SAFEline service use, service experiences, and recommendations for improvement.
description: Datasets: DS1: Evaluation of Technology-based Advocacy Services (ETA), Austin, Texas, 2019-2021
description: Users of the SAFEline service.
description: web-based surveyResearchers collected qualitative data for this study which are not currently available. The qualitative data will be made available at a later date.
DOI: 10.15156/bio/sh3592459.08fu
title: SH3592459.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3592460.08fu
title: SH3592460.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3592461.08fu
title: SH3592461.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3592462.08fu
title: SH3592462.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.