cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1284842
title: Materials Data on RbTiPO5 by Materials Project

description: RbTiOPO4 crystallizes in the orthorhombic Pna2_1 space group. The structure is three-dimensional. there are two inequivalent Rb1+ sites. In the first Rb1+ site, Rb1+ is bonded in a 7-coordinate geometry to six O2- atoms. There are a spread of Rb–O bond distances ranging from 2.78–3.11 Å. In the second Rb1+ site, Rb1+ is bonded in a 7-coordinate geometry to seven O2- atoms. There are a spread of Rb–O bond distances ranging from 2.84–3.47 Å. There are two inequivalent Ti4+ sites. In the first Ti4+ site, Ti4+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Ti–O bond distances ranging from 1.85–2.26 Å. In the second Ti4+ site, Ti4+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Ti–O bond distances ranging from 1.84–2.28 Å. There are two inequivalent P5+ sites. In the first P5+ site, P5+ is bonded in a trigonal bipyramidal geometry to five O2- atoms. There are a spread of P–O bond distances ranging from 1.56–1.77 Å. In the second P5+ site, P5+ is bonded in a trigonal non-coplanar geometry to three O2- atoms. There is two shorter (1.61 Å) and one longer (1.68 Å) P–O bond length. There are ten inequivalent O2- sites. In the first O2- site, O2- is bonded in a 2-coordinate geometry to two Rb1+, one Ti4+, and one P5+ atom. In the second O2- site, O2- is bonded in a distorted linear geometry to one Rb1+, one Ti4+, and one P5+ atom. In the third O2- site, O2- is bonded in a 4-coordinate geometry to one Rb1+, two Ti4+, and one O2- atom. The O–O bond length is 1.46 Å. In the fourth O2- site, O2- is bonded in a distorted single-bond geometry to two equivalent Rb1+, one P5+, and one O2- atom. In the fifth O2- site, O2- is bonded in a distorted water-like geometry to one Rb1+, one Ti4+, and one P5+ atom. In the sixth O2- site, O2- is bonded in a 2-coordinate geometry to one Rb1+, one Ti4+, and one P5+ atom. In the seventh O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two Rb1+ and two P5+ atoms. In the eighth O2- site, O2- is bonded in a water-like geometry to two Ti4+ atoms. In the ninth O2- site, O2- is bonded in a 4-coordinate geometry to one Rb1+, two Ti4+, and one P5+ atom. In the tenth O2- site, O2- is bonded in a distorted bent 120 degrees geometry to two Rb1+ and two Ti4+ atoms.
DOI: 10.17188/1284848
title: Materials Data on KGeNO by Materials Project

description: KGeNO crystallizes in the orthorhombic Pca2_1 space group. The structure is three-dimensional. K1+ is bonded in a 6-coordinate geometry to one N3- and five equivalent O2- atoms. The K–N bond length is 2.87 Å. There are a spread of K–O bond distances ranging from 2.70–3.04 Å. Ge4+ is bonded to three equivalent N3- and one O2- atom to form corner-sharing GeN3O tetrahedra. There is one shorter (1.88 Å) and two longer (1.89 Å) Ge–N bond length. The Ge–O bond length is 1.76 Å. N3- is bonded to one K1+ and three equivalent Ge4+ atoms to form distorted corner-sharing NKGe3 trigonal pyramids. O2- is bonded in a 1-coordinate geometry to five equivalent K1+ and one Ge4+ atom.
DOI: 10.17188/1284851
title: Materials Data on Na2CaTi2(GeO4)3 by Materials Project

description: Na2CaTi2(GeO4)3 crystallizes in the tetragonal I4_1/acd space group. The structure is three-dimensional. Na1+ is bonded in a distorted body-centered cubic geometry to eight O2- atoms. There are a spread of Na–O bond distances ranging from 2.43–2.58 Å. Ca2+ is bonded in a distorted body-centered cubic geometry to eight O2- atoms. There are four shorter (2.40 Å) and four longer (2.53 Å) Ca–O bond lengths. Ti4+ is bonded to six O2- atoms to form TiO6 octahedra that share corners with six GeO4 tetrahedra. There are a spread of Ti–O bond distances ranging from 1.96–2.00 Å. There are two inequivalent Ge4+ sites. In the first Ge4+ site, Ge4+ is bonded to four O2- atoms to form GeO4 tetrahedra that share corners with four equivalent TiO6 octahedra. The corner-sharing octahedra tilt angles range from 45–47°. There is two shorter (1.78 Å) and two longer (1.79 Å) Ge–O bond length. In the second Ge4+ site, Ge4+ is bonded to four equivalent O2- atoms to form GeO4 tetrahedra that share corners with four equivalent TiO6 octahedra. The corner-sharing octahedral tilt angles are 47°. All Ge–O bond lengths are 1.78 Å. There are three inequivalent O2- sites. In the first O2- site, O2- is bonded in a 4-coordinate geometry to two equivalent Na1+, one Ti4+, and one Ge4+ atom. In the second O2- site, O2- is bonded in a 4-coordinate geometry to one Na1+, one Ca2+, one Ti4+, and one Ge4+ atom. In the third O2- site, O2- is bonded in a 4-coordinate geometry to one Na1+, one Ca2+, one Ti4+, and one Ge4+ atom.
DOI: 10.17188/1284852
title: Materials Data on Na3LaTi2Nb2O12 by Materials Project

description: Na3LaTi2Nb2O12 is Orthorhombic Perovskite-derived structured and crystallizes in the monoclinic P2/c space group. The structure is three-dimensional. there are three inequivalent Na1+ sites. In the first Na1+ site, Na1+ is bonded in a 8-coordinate geometry to eight O2- atoms. There are a spread of Na–O bond distances ranging from 2.58–2.69 Å. In the second Na1+ site, Na1+ is bonded in a 12-coordinate geometry to four O2- atoms. There are two shorter (2.42 Å) and two longer (2.45 Å) Na–O bond lengths. In the third Na1+ site, Na1+ is bonded in a 10-coordinate geometry to six O2- atoms. There are a spread of Na–O bond distances ranging from 2.44–2.88 Å. La3+ is bonded in a 10-coordinate geometry to ten O2- atoms. There are a spread of La–O bond distances ranging from 2.52–2.89 Å. There are two inequivalent Ti4+ sites. In the first Ti4+ site, Ti4+ is bonded to six O2- atoms to form TiO6 octahedra that share corners with six NbO6 octahedra. The corner-sharing octahedra tilt angles range from 15–26°. There is two shorter (1.97 Å) and four longer (1.98 Å) Ti–O bond length. In the second Ti4+ site, Ti4+ is bonded to six O2- atoms to form TiO6 octahedra that share corners with six NbO6 octahedra. The corner-sharing octahedra tilt angles range from 15–24°. There are a spread of Ti–O bond distances ranging from 1.97–1.99 Å. There are two inequivalent Nb5+ sites. In the first Nb5+ site, Nb5+ is bonded to six O2- atoms to form NbO6 octahedra that share corners with six TiO6 octahedra. The corner-sharing octahedra tilt angles range from 15–26°. There are four shorter (2.01 Å) and two longer (2.02 Å) Nb–O bond lengths. In the second Nb5+ site, Nb5+ is bonded to six O2- atoms to form NbO6 octahedra that share corners with six TiO6 octahedra. The corner-sharing octahedra tilt angles range from 15–24°. There are two shorter (2.00 Å) and four longer (2.02 Å) Nb–O bond lengths. There are six inequivalent O2- sites. In the first O2- site, O2- is bonded in a 2-coordinate geometry to one Na1+, one La3+, one Ti4+, and one Nb5+ atom. In the second O2- site, O2- is bonded in a 2-coordinate geometry to one Na1+, one La3+, one Ti4+, and one Nb5+ atom. In the third O2- site, O2- is bonded in a 4-coordinate geometry to one Na1+, one La3+, one Ti4+, and one Nb5+ atom. In the fourth O2- site, O2- is bonded in a 5-coordinate geometry to two Na1+, one La3+, one Ti4+, and one Nb5+ atom. In the fifth O2- site, O2- is bonded in a 5-coordinate geometry to three Na1+, one Ti4+, and one Nb5+ atom. In the sixth O2- site, O2- is bonded in a 4-coordinate geometry to one Na1+, one La3+, one Ti4+, and one Nb5+ atom.
DOI: 10.17188/1284858
title: Materials Data on Ba4Nd7Si12BN27 by Materials Project

description: Ba4Nd7BSi12N27 crystallizes in the hexagonal P-6 space group. The structure is three-dimensional. there are two inequivalent Ba2+ sites. In the first Ba2+ site, Ba2+ is bonded in a 9-coordinate geometry to nine N+2.96- atoms. There are a spread of Ba–N bond distances ranging from 2.93–3.46 Å. In the second Ba2+ site, Ba2+ is bonded in a 12-coordinate geometry to twelve N+2.96- atoms. There are six shorter (3.20 Å) and six longer (3.22 Å) Ba–N bond lengths. There are three inequivalent Nd3+ sites. In the first Nd3+ site, Nd3+ is bonded in a 8-coordinate geometry to eight N+2.96- atoms. There are a spread of Nd–N bond distances ranging from 2.45–2.78 Å. In the second Nd3+ site, Nd3+ is bonded in a 8-coordinate geometry to eight N+2.96- atoms. There are a spread of Nd–N bond distances ranging from 2.34–2.97 Å. In the third Nd3+ site, Nd3+ is bonded in a trigonal planar geometry to three equivalent N+2.96- atoms. All Nd–N bond lengths are 2.41 Å. B3+ is bonded in a trigonal planar geometry to three equivalent N+2.96- atoms. All B–N bond lengths are 1.47 Å. There are four inequivalent Si4+ sites. In the first Si4+ site, Si4+ is bonded to four N+2.96- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.72–1.76 Å. In the second Si4+ site, Si4+ is bonded to four N+2.96- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.71–1.74 Å. In the third Si4+ site, Si4+ is bonded to four N+2.96- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.73–1.79 Å. In the fourth Si4+ site, Si4+ is bonded to four N+2.96- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.72–1.77 Å. There are seven inequivalent N+2.96- sites. In the first N+2.96- site, N+2.96- is bonded in a 5-coordinate geometry to three Nd3+ and two Si4+ atoms. In the second N+2.96- site, N+2.96- is bonded in a 2-coordinate geometry to two equivalent Ba2+, two Nd3+, and two Si4+ atoms. In the third N+2.96- site, N+2.96- is bonded in a distorted bent 120 degrees geometry to two equivalent Ba2+ and two equivalent Si4+ atoms. In the fourth N+2.96- site, N+2.96- is bonded in a distorted bent 150 degrees geometry to one Ba2+, two equivalent Nd3+, and two Si4+ atoms. In the fifth N+2.96- site, N+2.96- is bonded in a 2-coordinate geometry to two Ba2+, two Nd3+, and two Si4+ atoms. In the sixth N+2.96- site, N+2.96- is bonded in a 2-coordinate geometry to two equivalent Ba2+, one Nd3+, and two equivalent Si4+ atoms. In the seventh N+2.96- site, N+2.96- is bonded in a distorted rectangular see-saw-like geometry to three Nd3+ and one B3+ atom.
DOI: 10.17188/1284863
title: Materials Data on Ba4Pr7Si12BN27 by Materials Project

description: Ba4Pr7BSi12N27 crystallizes in the hexagonal P-6 space group. The structure is three-dimensional. there are two inequivalent Ba2+ sites. In the first Ba2+ site, Ba2+ is bonded in a 8-coordinate geometry to eight N3- atoms. There are a spread of Ba–N bond distances ranging from 2.93–3.22 Å. In the second Ba2+ site, Ba2+ is bonded in a 12-coordinate geometry to twelve N3- atoms. There are six shorter (3.20 Å) and six longer (3.22 Å) Ba–N bond lengths. There are three inequivalent Pr+3.14+ sites. In the first Pr+3.14+ site, Pr+3.14+ is bonded in a 8-coordinate geometry to eight N3- atoms. There are a spread of Pr–N bond distances ranging from 2.47–2.78 Å. In the second Pr+3.14+ site, Pr+3.14+ is bonded in a 8-coordinate geometry to eight N3- atoms. There are a spread of Pr–N bond distances ranging from 2.37–2.96 Å. In the third Pr+3.14+ site, Pr+3.14+ is bonded in a trigonal planar geometry to three equivalent N3- atoms. All Pr–N bond lengths are 2.45 Å. B3+ is bonded in a trigonal planar geometry to three equivalent N3- atoms. All B–N bond lengths are 1.47 Å. There are four inequivalent Si4+ sites. In the first Si4+ site, Si4+ is bonded to four N3- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.71–1.76 Å. In the second Si4+ site, Si4+ is bonded to four N3- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.71–1.74 Å. In the third Si4+ site, Si4+ is bonded to four N3- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.72–1.79 Å. In the fourth Si4+ site, Si4+ is bonded to four N3- atoms to form corner-sharing SiN4 tetrahedra. There are a spread of Si–N bond distances ranging from 1.72–1.77 Å. There are seven inequivalent N3- sites. In the first N3- site, N3- is bonded in a 5-coordinate geometry to three Pr+3.14+ and two Si4+ atoms. In the second N3- site, N3- is bonded in a distorted linear geometry to two equivalent Ba2+, two Pr+3.14+, and two Si4+ atoms. In the third N3- site, N3- is bonded in a distorted bent 120 degrees geometry to two equivalent Ba2+ and two equivalent Si4+ atoms. In the fourth N3- site, N3- is bonded in a distorted bent 150 degrees geometry to two equivalent Pr+3.14+ and two Si4+ atoms. In the fifth N3- site, N3- is bonded in a 2-coordinate geometry to two Ba2+, two Pr+3.14+, and two Si4+ atoms. In the sixth N3- site, N3- is bonded in a 2-coordinate geometry to two equivalent Ba2+, one Pr+3.14+, and two equivalent Si4+ atoms. In the seventh N3- site, N3- is bonded in a distorted rectangular see-saw-like geometry to three Pr+3.14+ and one B3+ atom.
DOI: 10.17188/1284865
title: Materials Data on La(FeP)2 by Materials Project

description: LaFe2P2 is alpha bismuth trifluoride-derived structured and crystallizes in the tetragonal I4/mmm space group. The structure is three-dimensional. La2+ is bonded in a body-centered cubic geometry to eight equivalent P3- atoms. All La–P bond lengths are 3.16 Å. Fe2+ is bonded to four equivalent P3- atoms to form a mixture of corner and edge-sharing FeP4 tetrahedra. All Fe–P bond lengths are 2.20 Å. P3- is bonded in a 4-coordinate geometry to four equivalent La2+ and four equivalent Fe2+ atoms.
DOI: 10.1285/i20705948v14n2p389
title: Selection of features and prediction of wine quality using artificial neural networks

description: The assessment of wine taste quality is a key factor for successful sales in the wine industry, where the aim is to fulfill the consumer's needs. Usually, this is determined by human experts who make the evaluation process very expensive and time-consuming. This study intends to introduce an alternative method for the prediction of wine quality with the usage of machine learning techniques such as linear regression and neural networks. Our data analysis is based on a real wine dataset provided by an established winery in Greece. First of all, we determine the dependence of the quality from selected physicochemical features of wine. We use some well-known algorithms to achieve better results in statistical calculations and specific methods of selecting the best possible number of variables using principal component analysis (PCA) and linear regression. After using artificial neural networks and checking various combinations of layers we conclude how the proposed statistical techniques improve the accuracy of the prediction of the wine quality using the previously selected features.
DOI: 10.1285/i20705948v14n2p417
title: A Stochastic Diffusion Model of Lorenz Curve with a Birth-and-Death Diffusion and General External Effect Processes

description: The Lorenz curve has been used as an essential instrument in the studies of inequality of wealth and income distributions. It was further devised as an inequality research tool in many disciplines. A stochastic Lorenz Curve model is considered with a birth-and-death diffusion and general external effect processes in this paper. Also, the corresponding Stochastic Diffusion Gini-Index is obtained. The suggested functional form attains the properties of the Lorenz curve and works nicely, as shown in the numerical example.
DOI: 10.1285/i20705948v14n2p425
title: Impact of Financial Deepening on Exchange Rate: Spillover Evidence from Developed and Developing Economies

description: Financial Deepening essentially refers to improvements in both the volume of money in circulation and the resultant increase in the pool of financial services tailored to all levels of the society. This paper provides a unique edge to existing knowledge by exploring important factor, through which financial deepening leads to financial crises. The excessive financial deepening in the base country spillovers among other economies led to financial instability. In this essence, annually data have been collected from the International Monetary Fund for the period 2000-2016 from 42 countries. Augmented Dicky Fuller, Correlation, VIF,linear regression and ARCH-GARCH family models have been applied in order to analyze and validate the outcomes. At the end recommendations and future research directions have been presented for both developed and developing countries.
DOI: 10.6084/m9.figshare.18759407
title: community convergence or divergence.xlsx

description: a mesocosm experiment in a subtropical reservoir in southern China, and investigated the development pattern of phytoplankton and zooplankton community with nutrient and fish addition. it aims to study the divergence or convergence pattern of communities at two different trophic statuses.
DOI: 10.6084/m9.figshare.18759407.v1
title: community convergence or divergence.xlsx

description: a mesocosm experiment in a subtropical reservoir in southern China, and investigated the development pattern of phytoplankton and zooplankton community with nutrient and fish addition. it aims to study the divergence or convergence pattern of communities at two different trophic statuses.
DOI: 10.25835/0030443
title: A Neural Approach for Text Extraction from Scholarly Figures

description: # A Neural Approach for Text Extraction from Scholarly Figures This is the readme for the supplemental data for our ICDAR 2019 paper. You can read our paper via IEEE here: https://ieeexplore.ieee.org/document/8978202 If you found this dataset useful, please consider citing our paper: @inproceedings{DBLP:conf/icdar/MorrisTE19, author = {David Morris and Peichen Tang and Ralph Ewerth}, title = {A Neural Approach for Text Extraction from Scholarly Figures}, booktitle = {2019 International Conference on Document Analysis and Recognition, {ICDAR} 2019, Sydney, Australia, September 20-25, 2019}, pages = {1438--1443}, publisher = {{IEEE}}, year = {2019}, url = {https://doi.org/10.1109/ICDAR.2019.00231}, doi = {10.1109/ICDAR.2019.00231}, timestamp = {Tue, 04 Feb 2020 13:28:39 +0100}, biburl = {https://dblp.org/rec/conf/icdar/MorrisTE19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } This work was financially supported by the German Federal Ministry of Education and Research (BMBF) and European Social Fund (ESF) (InclusiveOCW project, no. 01PE17004). ## Datasets We used different sources of data for testing, validation, and training. Our testing set was assembled by the work we cited by Böschen et al. We excluded the DeGruyter dataset, and use it as our validation dataset. ### Testing These datasets contain a readme with license information. Further information about the associated project can be found in the authors' published work we cited: https://doi.org/10.1007/978-3-319-51811-4_2 ### Validation The DeGruyter dataset does not include the labeled images due to license restrictions. As of writing, the images can still be downloaded from DeGruyter via the links in the readme. Note that depending on what program you use to strip the images out of the PDF they are provided in, you may have to re-number the images. ### Training We used [label_generator](https://github.com/domoritz/label_generator)'s generated dataset, which the author made available on a requester-pays [amazon s3 bucket](s3://escience.washington.edu.viziometrics). We also used the Multi-Type Web Images dataset, which is mirrored [here](https://tianchi.aliyun.com/competition/introduction.htm?spm=5176.100066.0.0.3bcad780oQ9Ce4&raceId=231651). ## Code We have made our code available in `code.zip`. We will upload code, announce further news, and field questions via the [github repo](https://github.com/david-morris/Neural-Figure-Text). Our text detection network is adapted from [Argman's EAST implementation](https://github.com/argman/EAST). The `EAST/checkpoints/ours` subdirectory contains the trained weights we used in the paper. We used a tesseract script to run text extraction from detected text rows. This is inside our code `code.tar` as `text_recognition_multipro.py`. We used a java script provided by Falk Böschen and adapted to our file structure. We included this as `evaluator.jar`. Parameter sweeps are automated by `param_sweep.rb`. This file also shows how to invoke all of these components.
DOI: 10.25835/0066265
title: CHO stress induced product production

description: Carbondioxide feed and macronutrient supply were investigated regarding their effects on cell growth, cell size and cell-specific productivity. Our research reveals a stress related increase in mAb production for carbondioxide limitation, glucose overfeeding and increased glutamate supply as well as the importance of glutamine for proliferation. Together with the discovery of a non-linear correlation between cell enlargement an increased specific productivity, this marks the first step towards better process understanding and optimization.
DOI: 10.25835/0071779
title: Germany-wide representative survey on riverine landscapes, large wood, and ecosystem service information

description: This data publication contains the materials, the raw data, relevant processed data and analysis of a german-wide, representative survey on river landscapes. The survey was designed by the Leibniz Universität Hannover, Institute of Environmental Planning. It was conducted by the Ersult GmbH (Göttingen, Germany) in early 2018. The main element of the survey was a choice experiment, where participants should decide between different scenarios of river restoration. We concentrated on the key element large wood and its benefits regarding ecosystem services and people. For this, we offered ecosystem service-related information in addition to the choice attributes. The choice experiment was performed by three different sub-samples (groups). Group 1 only received ordinally-scaled qualitative information, group 2 cardinally-scaled quantifications and group 3 monetary information [€]. The survey is part of the research and restoration project Wilde Mulde - Revitalization of a wild river landscape in central Germany (WilMu) (https://wilde-mulde.de/en/ and https://www.umwelt.uni-hannover.de/de/forschungsprojekte/forschungsprojekt-detailansicht/projects/revitalizing-river-landscapes-assessment-and-evaluation-of-ecosystem-services-and-the-importance-o/) The “Wilde Mulde” project is jointly funded by the Federal Ministry of Education and Research (BMBF) and the Federal Agency for Nature Conservation (BfN) with funds also from the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) in Germany (funding code: 01LC1322F). The BMBF is funding this project as an Initiative for Sustainable Development (FONA): www.fona.de . Related publications: Gapinski, C. M., Hermes, J., & Haaren, C. von (2020). Why people like or dislike large wood in rivers—a representative survey of the general public in Germany. River Research and Applications, 2021; 37(2), 187–197. https://doi.org/10.1002/rra.3743 Gapinski, C., Hermes, J., & von Haaren, C. (in prep.). What kind of ecosystem service information format is most effective for communicating with the general public? The example of river restoration involving large river wood.: Unpublished manuscript in preparation.