cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24025753
title: The complete mitochondrial genome of the Chinese water snake <i>Myrrophis</i> (<i>Enhydris</i>) <i>chinensis</i> (Gray, 1842) (Reptilia: Homalopsidae)

description: <i>Myrrophis</i> (<i>Enhydris</i>) <i>chinensis,</i> also known as the Chinese water snake, has been used for medicinal purposes, such as the treatment of ailments involving fever, headache, and joint pain. The complete mitochondrial genome of <i>M. chinensis</i> was assembled using next-generation sequencing. The mitochondrial genome was 17,302 bp in length and contained 37 genes, including 13 protein-coding, 22 transfer RNA (tRNA), 2 ribosomal RNA genes, and 2 non-coding control regions (D-loop). The light chain of replication origin was found between tRNA-Asn and tRNA-Cys in the WANCY gene cluster, which is consistent with published mitogenomes of Homalopsidae. The phylogenetic tree supported the monophyly of Homalopsidae species and implied that <i>M. chinensis</i> is the closest related species to <i>Myanophis thanlyinensis</i>. The mitochondrial genome of <i>M. chinensis</i> provides fundamental data for exploring mitochondrial genome evolution in snakes (Homalopsidae).
DOI: 10.6084/m9.figshare.24025753.v1
title: The complete mitochondrial genome of the Chinese water snake <i>Myrrophis</i> (<i>Enhydris</i>) <i>chinensis</i> (Gray, 1842) (Reptilia: Homalopsidae)

description: <i>Myrrophis</i> (<i>Enhydris</i>) <i>chinensis,</i> also known as the Chinese water snake, has been used for medicinal purposes, such as the treatment of ailments involving fever, headache, and joint pain. The complete mitochondrial genome of <i>M. chinensis</i> was assembled using next-generation sequencing. The mitochondrial genome was 17,302 bp in length and contained 37 genes, including 13 protein-coding, 22 transfer RNA (tRNA), 2 ribosomal RNA genes, and 2 non-coding control regions (D-loop). The light chain of replication origin was found between tRNA-Asn and tRNA-Cys in the WANCY gene cluster, which is consistent with published mitogenomes of Homalopsidae. The phylogenetic tree supported the monophyly of Homalopsidae species and implied that <i>M. chinensis</i> is the closest related species to <i>Myanophis thanlyinensis</i>. The mitochondrial genome of <i>M. chinensis</i> provides fundamental data for exploring mitochondrial genome evolution in snakes (Homalopsidae).
DOI: 10.5281/zenodo.7970685
title: PalMuc/Aphrocallistes_vastus_genome: 2023-05-25 Release for Zenodo

description: <em><strong>This is a data repository for</strong></em> Francis, W.; Eitel, M.; Vargas, S.; Garcia-Escudero, C. A.; Conci, N.; Deister, F.; Mah, J. L.; Guiglielmoni, N., Krebs, S.; Blum, H.; Leys, S. P.; Wörheide, G. (2023): The genome of the reef-building glass sponge <em>Aphrocallistes vastus</em> provides insights into silica biomineralization<br>
DOI: 10.5281/zenodo.7728550
title: GC-Net historical metadata compilation

description: This repository contains documents and information that complement the historical GC-Net Automated Weather Station (AWS) dataset. The GC-Net project was lead by Prof. K. Steffen (1952-2020). Content:<br> - Field books<br> - Sensor documentation<br> - Publication list about or using GC-Net data<br> - Compilation of observed coordinates at GC-Net sites<br> <br> Contributors to this compilation:<br> B. Vandecrux, J. Box, D. Houtz, J. Weber, R. Huff, N. Molotch, D. McGrath, N. Bayou, A. Heilig, K. Sampson, P. How, N. Karlsson, K. Mankoff, A. Ahlstrøm For the latest updates, please visit: https://github.com/GEUS-Glaciology-and-Climate/GC-Net-historical-metadata
DOI: 10.5281/zenodo.7829107
title: GC-Net historical metadata compilation

description: This repository contains documents and information that complement the historical GC-Net Automated Weather Station (AWS) dataset. The GC-Net project was lead by Prof. K. Steffen (1952-2020). Content:<br> - Field books<br> - Sensor documentation<br> - Publication list about or using GC-Net data<br> - Compilation of observed coordinates at GC-Net sites<br> <br> Contributors to this compilation:<br> B. Vandecrux, J. Box, D. Houtz, J. Weber, R. Huff, N. Molotch, D. McGrath, N. Bayou, A. Heilig, K. Sampson, P. How, N. Karlsson, K. Mankoff, A. Ahlstrøm For the latest updates, please visit: https://github.com/GEUS-Glaciology-and-Climate/GC-Net-historical-metadata
DOI: 10.5281/zenodo.8285745
title: CONTRAST-IT corpus: Italian data collection

description: This data collection served to create<strong> </strong>the <strong>CONTRAST-IT</strong><strong> corpus.</strong> <strong>CONTRAST-IT </strong>is a medium-size multilingual corpus (including ca. 1.5 million words) based on a comparable collection of articles published in online daily newspapers. The articles are written in five languages: Italian (from Italy), French (from France), Spanish (from Spain), English (from the UK), and German (from Germany). This <strong>Italian dataset</strong> includes 300'000 words drawn from 531 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary Italian newspaper language. The articles were published in 2011 and 2012 in three electronic daily newspapers (repubblica.it, lastampa.it, corriere.it). The corpus and data collection were used in two Swiss National Science Foundation Projects: Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch) Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch) For details on the corpus and data collection, see: De Cesare, A.-M<em>.</em> 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. <em>CHIMERA. Romance Corpora and Linguistic studies</em> 6: 43-74. https://revistas.uam.es/chimera/article/view/11430 CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)
DOI: 10.5281/zenodo.8285744
title: CONTRAST-IT corpus: Italian data collection

description: This data collection served to create<strong> </strong>the <strong>CONTRAST-IT</strong><strong> corpus.</strong> <strong>CONTRAST-IT </strong>is a medium-size multilingual corpus (including ca. 1.5 million words) based on a comparable collection of articles published in online daily newspapers. The articles are written in five languages: Italian (from Italy), French (from France), Spanish (from Spain), English (from the UK), and German (from Germany). This <strong>Italian dataset</strong> includes 300'000 words drawn from 531 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary Italian newspaper language. The articles were published in 2011 and 2012 in three electronic daily newspapers (repubblica.it, lastampa.it, corriere.it). The corpus and data collection were used in two Swiss National Science Foundation Projects: Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch) Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch) For details on the corpus and data collection, see: De Cesare, A.-M<em>.</em> 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. <em>CHIMERA. Romance Corpora and Linguistic studies</em> 6: 43-74. https://revistas.uam.es/chimera/article/view/11430 CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)
DOI: 10.5281/zenodo.8307847
title: Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite

description: Supporting analytical Ar/Ar data and mineral compositional data for the paper: "Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite" by: Alexane Legeay, Stéphane Scaillet, Jacques Précigout, Holger Stünitz, Angelo Mottolese, and Florian Duval submitted to to Geochimica et Cosmochimica Acta.
DOI: 10.5281/zenodo.8307846
title: Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite

description: Supporting analytical Ar/Ar data and mineral compositional data for the paper: "Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite" by: Alexane Legeay, Stéphane Scaillet, Jacques Précigout, Holger Stünitz, Angelo Mottolese, and Florian Duval submitted to to Geochimica et Cosmochimica Acta.
DOI: 10.21227/4rxb-zv06
title: ChatGPT Study

description: This dataset comprises data created during research on AI-generated code, with a focus on software engineering use-cases. The purpose of the research was to investigate how AI should be integrated into university software engineering curricula. The seven core areas of the research include: An analysis of AI and student-written Java code, an analysis of AI and human-written Python code, the results of predictions made “by eye” to distinguish between AI and student-written code, experiments to determine the capabilities of ChatGPT, individual students' feedback on experiences with ChatGPT, a set of guidelines and detailed experiences with AI tools, and the results of a survey of students regarding the use of AI tools.
DOI: 10.5281/zenodo.8123499
title: Simulated nanoCT Datasets

description: Simulated parallel-beam and fan-beam nano-CT datasets with per-angle random phantom shifts and rotations. The dataset generation is described in the paper Learning-based approaches for reconstructions with inexact operators in nanoCT applications. Code to use the data is available at https://gitlab.informatik.uni-bremen.de/inn4ip/cond-inn4nanoct (in particular the module src/learned_reco/data.py).
DOI: 10.5281/zenodo.8123498
title: Simulated nanoCT Datasets

description: Simulated parallel-beam and fan-beam nano-CT datasets with per-angle random phantom shifts and rotations. The dataset generation is described in the paper Learning-based approaches for reconstructions with inexact operators in nanoCT applications. Code to use the data is available at https://gitlab.informatik.uni-bremen.de/inn4ip/cond-inn4nanoct (in particular the module src/learned_reco/data.py).
DOI: 10.21227/ptnf-cz34
title: DESED dataset

description: DESED dataset is the dataset that was used in DCASE 2019 task 4. The dataset for this task is composed of 10 sec audio clips recorded in domestic environment or synthesized using Scaper to simulate a domestic environment. The task focuses on 10 class of sound events that represent a subset of Audioset (not all the classes are present in Audioset, some classes of sound events are including several classes from Audioset):Speech SpeechDog DogCat CatAlarm/bell/ringing Alarm_bell_ringingDishes DishesFrying FryingBlender BlenderRunning water Running_waterVacuum cleaner Vacuum_cleanerElectric shaver/toothbrush Electric_shaver_toothbrushMore information about this dataset and how to generate synthetic soundscapes can be found on DESED website.
DOI: 10.20387/bonares-2rxd-m807
title: Soil organic carbon content at Maize BBCH33

description: Organic carbon content was measured on soil samples from cover crop root channels and bulk soil taken at subsequent crop, maize, BBCH stage 33.
DOI: 10.5281/zenodo.8307857
title: CONTRAST-IT corpus: French data collection

description: <strong>This data collection served to create the </strong><strong>CONTRAST-IT</strong><strong> corpus.</strong> <strong>CONTRAST-IT </strong>is a medium-size multilingual corpus (including ca. 1.5 million words) based on a comparable collection of articles published in online daily newspapers. The articles are written in five languages: Italian (from Italy), <strong>French</strong> (from France), Spanish (from Spain), English (from the UK), and German (from Germany). This <strong>French dataset</strong> includes 300'000 words drawn from 520 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary <strong>French</strong> newspaper language. The articles were published in 2011 and 2012 in two electronic daily newspapers (lemonde.fr and lefigaro.fr). The corpus and data collection were used in two Swiss National Science Foundation Projects: Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch) Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch) For details on the corpus and data collection, see: De Cesare, A.-M<em>.</em> 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. <em>CHIMERA. Romance Corpora and Linguistic studies</em> 6: 43-74. https://revistas.uam.es/chimera/article/view/11430 CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)
DOI: 10.5281/zenodo.8307856
title: CONTRAST-IT corpus: French data collection

description: <strong>This data collection served to create the </strong><strong>CONTRAST-IT</strong><strong> corpus.</strong> <strong>CONTRAST-IT </strong>is a medium-size multilingual corpus (including ca. 1.5 million words) based on a comparable collection of articles published in online daily newspapers. The articles are written in five languages: Italian (from Italy), <strong>French</strong> (from France), Spanish (from Spain), English (from the UK), and German (from Germany). This <strong>French dataset</strong> includes 300'000 words drawn from 520 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary <strong>French</strong> newspaper language. The articles were published in 2011 and 2012 in two electronic daily newspapers (lemonde.fr and lefigaro.fr). The corpus and data collection were used in two Swiss National Science Foundation Projects: Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch) Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch) For details on the corpus and data collection, see: De Cesare, A.-M<em>.</em> 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. <em>CHIMERA. Romance Corpora and Linguistic studies</em> 6: 43-74. https://revistas.uam.es/chimera/article/view/11430 CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)
DOI: 10.34740/kaggle/dsv/6398575
title: AutoXGB
DOI: 10.57841/casdc.0002019
title: 微织构尺寸对轴承摩擦磨损性能的影响
DOI: 10.5281/zenodo.8307866
title: Open code for the Pn velocity and anisotropy inversion

description: The open code files for the Pn velocity and anisotropy inversion.
DOI: 10.5281/zenodo.8307880
title: An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain

description: Dataset used for the research article entitled "An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain".
DOI: 10.5281/zenodo.8307879
title: An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain

description: Dataset used for the research article entitled "An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain".
DOI: 10.21227/g4th-qz60
title: Data Integrity attack detection in energy control systems- Normal, Fault and contingency dataset

description: The IEEE 24 bus system is modelled in Digsilent’s Power factory, and normal operating data points are generated under quasi dynamic simulation and N-2 contingencies. The data is then cleaned, and a Gaussian noise component is added. An optimization problem to generate false data injection attack vectors are then modelled using MATLAB. This data contains normal, contingency and attack data points for the necessary variables in a power network. The attack data has 3 parts, with each part generated by a different level of attack. A machine learning algorithm can be trained to detect and classify false data injection attacks in a power network using this data.
DOI: 10.4121/uuid:014d56f7-06dd-49ad-a48c-2282ab10428e
title: Data on the harmonization of image velocimetry techniques, from seven different countries

description: Here, we present a range of datasets that have been compiled from across seven countries in order to facilitate image velocimetry inter-comparison studies. These data have been independently produced for the primarily purposes of: (i) enhancing our understanding of open-channel flows in diverse flow regimes; and (ii) testing specific image velocimetry techniques. These datasets have been acquired across a range of hydro-geomorphic settings, using a diverse range of cameras, encoding software, controller units, and with river velocity measurements generated as a result of differing image pre-processing and image processing software.
DOI: 10.5066/f7tq6011
title: itrogen and phosphorus from fertilizer and manure in the Chesapeake Bay watershed, 1950-2012

description: This dataset contains four tables of estimates of the yearly sum of nitrogen and phosphorus inputs from fertilizer applications and from manure applications in selected watersheds in Chesapeake Bay drainage basin from 1950 to 2012. For the fertilizer data, county-level loads were used from three published sources. Data from 1950 to 1985 are from Alexander and Smith (1990). Data for the year 1986 are from Battaglin and Goolsby (1995). Data from 1987 through 2012 are from Brakebill, Gronberg, and Spahr (2016). These data were used in conjunction with 30-meter resolution land cover data from the National Land Cover Dataset for the year 2001 to distribute county-level fertilizer loads to cropland and summed by NHDPlus Version 1 catchments. Manure nutrient mass data for the Census of Agriculture years from 1950 to 2012 are from Brakebill and Gronberg (2016). Formulae for calculating nitrogen and phosphorus mass per animal unit were also used from the Brakebill and Gronberg report. These data were used in conjunction with 30-meter resolution land cover data from the National Land Cover Dataset for the year 2001 to distribute county-level manure loads to pasture land and summed by NHDPlus Version 1 catchments. Eight digit hydrologic unit code identifiers are also included.
DOI: 10.5281/zenodo.7992175
title: Data for "Integrated microcavity optomechanics with a suspended photonic crystal mirror above a distributed Bragg reflector"

description: Data used for figures in "Integrated microcavity optomechanics with a suspended photonic crystal mirror above a distributed Bragg reflector" Sushanth Kini Manjeshwar et.al (arXiv:2305.13511)
description: This work was supported by Chalmers' Area of Advance Nano, the Knut and Alice Wallenberg Foundation through a Wallenberg Academy Fellowship (W.W.) and the Wallenberg Center for Quantum Technology (WACQT, A.C.), the Swedish Research Council (VR projects No. 2018-05061 and 2019-04946), and the QuantERA project C'MON-QSENS! H.P. acknowledges funding by the European Union under the project MSCA-PF-2022-OCOMM. Samples were fabricated in the Myfab Nanofabrication Laboratory at Chalmers and analyzed in the Chalmers Materials Analysis Laboratory. Simulations were performed on resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Tetralith partially funded by the Swedish Research Council through grant agreements no. 2022-06725 and no. 2018-05973.
DOI: 10.6073/pasta/f0807db4a0cea409aee065fe21d940da
title: White Pine Girdling and Compression Experiment at Harvard Forest 2017-2019

description: Wood formation is a crucial process for carbon sequestration on land, yet how variations in phloem-transported carbon affect wood formation, respiration and nonstructural carbon pools remains poorly understood. To better understand the role of carbon supply on allocation to wood formation, we constrained phloem transport using girdling and compression around the stem of 40 mature white pines to monitor the effects of contrasting carbon supply (enriched above and reduced below the manipulations) on local wood formation and respiration, as well as on nonstructural carbon pools in needles, stems, and roots. This data set contains all data measured during the experiment. This includes wood anatomy, xylogenesis, stem respiration, nonstructural carbon measurements in coarse roots, stems and needles, as well as pre-dawn water potential measurements and pressure measurements from underneath the phloem compression collars. Furthermore, we provide allometric measurements for all trees. The code to process these data and reproduce our results is available in hf348-14-density-anomaly-analysis-code.zip. For more details pertaining to the methods see Rademacher et al. (in review).
DOI: 10.18739/a2m03xx3m
title: Greenland Ice Sheet Summit Camp Snow Density, Grain Size, and Hardness Profiles, June 26-27, 2010

description: The surface mass balance (SMB) of the Greenland Ice Sheet, the balance between snow accumulation and mass loss due to sublimation and runoff at the ice sheet surface, plays an important role in overall ice sheet mass balance, strongly impacting the ice sheet's contribution to sea level change. Energy and mass balance models, including sophisticated regional climate models capable of simulating regional atmospheric circulation patterns and surface-atmosphere interactions, can be used to estimate spatially and temporally continuous SMB changes, but require validation using in situ measurements, which are relatively sparse given logistical challenges. Measurements of snow and firn density are particularly important for validating models used to convert remote-sensing-measured ice sheet thickness changes into mass changes. Measurement of profiles of snow properties such as grain size, shape, and hardness can also be used to evaluate simulation of processes such as snowpack energy and mass transfer, and snow albedo. This dataset includes two profiles of snow density, grain size, and hardness collected near the Greenland Ice Sheet Summit Camp (at 79.60963 degrees North, 38.54980 degrees West) on June 26 and 27, 2010. The fieldwork was conducted with the goal of improving quantification of Greenland ice sheet surface mass balance through validation of surface energy and mass balance models, and to reduce model uncertainties through a model/field/satellite-based data assimilation framework. Additional goals were the improvement of electromagnetic modeling of active and passive microwave observations and calibration and calibration and assessment of measurements collected through the National Aeronautics and Space Administration's (NASA's) operation ICEBridge mission. The two profiles were collected after excavation of a large trench by a CH2MHILL support team on June 25, 2010. A first set of measurements was collected from a small (1.6 meter deep) profile on June 26, 2010 in a shallow part of the trench. Measurements included snow density measurements at regular depth intervals collected with a 250 cubic centimeter (cc) density cutter, visual grain size and shape identification from visual observation under a macroscope over a ruled card, and hand hardness measurements, and snow temperature measurements taken with a dial-stem thermometer. A second set of measurements was collected from a deeper (4.1 meter deep) profile on June 27, 2010. Measurements included snow density measurements at regular depth intervals collected with a 1000 cc density cutter, visual grain size and shape identification from visual observation under a macroscope over a ruled card, and hand hardness measurements.