cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1nt7h6
title: CCDC 1543598: Experimental Crystal Structure Determination

description: Related Article: Amanda-Lee E. Manicum, Marietjie Schutte-Smith, Hendrik G. Visser|2018|Polyhedron|145|80|doi:10.1016/j.poly.2018.01.022
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: 10.15468/mmjjji
title: The subfamily Cratocentrinae (Hymenoptera: Chalcididae): reappraisal of their morphological characters and review of the West Palaearctic species, with the description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Abul-Sood, Medhat I., Gadallah, Neveen S., Hossni, Mohammed T., Delvare, Gérard (2018): The subfamily Cratocentrinae (Hymenoptera: Chalcididae): reappraisal of their morphological characters and review of the West Palaearctic species, with the description of two new species. Zootaxa 4377 (4): 490-516, DOI: https://doi.org/10.11646/zootaxa.4377.4.2
DOI: 10.5281/zenodo.1161790
title: Ergebnisse Der Umfrage Zum Forschungsdatenmanagement An Der Fh Potsdam

description: Hochschulen sind als wissenschaftliche Einrichtungen, in denen multidisziplinäre Studiengänge und Wissenschaften aufeinandertreffen, ein Zentrum für Forschungsdaten. Daher liegt es auf der Hand, Professor(inn)en, Mitarbeiter(inne)n, Stipendiat(inn)en, Doktorand(inn)en sowie Studierenden eine Infrastruktur für anfallende Forschungsdaten zur Verfügung zu stellen und alle Beteiligten (z.B. IT-Experten) im Umgang mit Forschungsdaten zu unterstützen.<br>
<br>
Auch die Fachhochschule Potsdam (FHP) stellt sich diesen Herausforderungen und hat eine Umfrage im November 2017 initiiert. Zielgruppe derselben waren die an der Fachhochschule tätigen Professoren(innen), akademische Mitarbeiter(innen) sowie Doktorand(inn)en. Die Studierenden der FHP wurden bei der Umfrage als Zielgruppe indirekt berücksichtigt, indem ihre Arbeiten mit den dazugehörigen Forschungsdaten zum Forschungsdatenbestand des/der jeweiligen betreuenden Dozenten(in) gezählt wurden. Die Anzahl der potentiellen Teilnehmer(innen) der Umfrage lag somit insgesamt 217 Teilnehmern plus einer nicht näher spezifizierten Anzahl an Doktoranden, welche über ein Stipendium mit der FHP assoziiert sind.<br>
<br>
Die Umfrage lief vom 20. November 2017 bis zum 4. Dezember 2017. Nach einer initialen E-Mail am 20. November 2017 wurde am 27. November 2017 ein Reminder versandt.<br>
<br>
Von 76 Fragebögen wurden insgesamt 56 Fragebögen komplett ausgefüllt, bzw. abgesandt.<br>
<br>
Mittels dieser Erhebung ist der Fragestellung nachgegangen worden, ob und wenn ja welche unterstützenden Maßnahmen an der FHP etabliert werden müssen, um den Umgang mit Forschungsdaten zu verbessern.<br>
Die Fragen sind so gewählt, dass die Antworten Erkenntnisse über Art und Umfang, Speicherung und Sicherung, Management und Teilen (data share) der Daten sowie über spezifische Leitlinien, Probleme und Servicebedarf in Bezug auf Forschungsdaten, liefern.<br>
<br>
Der vorliegende Datensatz enthält die Dokumentation der Inhalte, Entscheidungen, Aufgaben und Fragen in Form eines publizierten Projektberichts (ISBN: 978-3-934329-95-9, DOI: 10.5281/zenodo.1161792) sowie die Rohdatensätze und die prozessierten Datensätze der Umfrage.
DOI: 10.5517/ccdc.csd.cc1nt7j7
title: CCDC 1543599: Experimental Crystal Structure Determination

description: Related Article: Amanda-Lee E. Manicum, Marietjie Schutte-Smith, Hendrik G. Visser|2018|Polyhedron|145|80|doi:10.1016/j.poly.2018.01.022
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.cc1nt7k8
title: CCDC 1543600: Experimental Crystal Structure Determination

description: Related Article: Amanda-Lee E. Manicum, Marietjie Schutte-Smith, Hendrik G. Visser|2018|Polyhedron|145|80|doi:10.1016/j.poly.2018.01.022
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.cc1q4vwl
title: CCDC 1583600: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Kovalenko, Dmitry Yu. Naumov, Vladimir P. Fedin|2018|Polyhedron|144|158|doi:10.1016/j.poly.2018.01.021
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.cc1q4vyn
title: CCDC 1583602: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Kovalenko, Dmitry Yu. Naumov, Vladimir P. Fedin|2018|Polyhedron|144|158|doi:10.1016/j.poly.2018.01.021
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.cc1q8lq9
title: CCDC 1587191: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Stark, Douglas T. Tang, Nigam P. Rath, Eike B. Bauer|2018|Tetrahedron Lett.|59|873|doi:10.1016/j.tetlet.2018.01.029
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: 10.5281/zenodo.1161789
title: Ergebnisse Der Umfrage Zum Forschungsdatenmanagement An Der Fh Potsdam

description: Hochschulen sind als wissenschaftliche Einrichtungen, in denen multidisziplinäre Studiengänge und Wissenschaften aufeinandertreffen, ein Zentrum für Forschungsdaten. Daher liegt es auf der Hand, Professor(inn)en, Mitarbeiter(inne)n, Stipendiat(inn)en, Doktorand(inn)en sowie Studierenden eine Infrastruktur für anfallende Forschungsdaten zur Verfügung zu stellen und alle Beteiligten (z.B. IT-Experten) im Umgang mit Forschungsdaten zu unterstützen.<br>
<br>
Auch die Fachhochschule Potsdam (FHP) stellt sich diesen Herausforderungen und hat eine Umfrage im November 2017 initiiert. Zielgruppe derselben waren die an der Fachhochschule tätigen Professoren(innen), akademische Mitarbeiter(innen) sowie Doktorand(inn)en. Die Studierenden der FHP wurden bei der Umfrage als Zielgruppe indirekt berücksichtigt, indem ihre Arbeiten mit den dazugehörigen Forschungsdaten zum Forschungsdatenbestand des/der jeweiligen betreuenden Dozenten(in) gezählt wurden. Die Anzahl der potentiellen Teilnehmer(innen) der Umfrage lag somit insgesamt 217 Teilnehmern plus einer nicht näher spezifizierten Anzahl an Doktoranden, welche über ein Stipendium mit der FHP assoziiert sind.<br>
<br>
Die Umfrage lief vom 20. November 2017 bis zum 4. Dezember 2017. Nach einer initialen E-Mail am 20. November 2017 wurde am 27. November 2017 ein Reminder versandt.<br>
<br>
Von 76 Fragebögen wurden insgesamt 56 Fragebögen komplett ausgefüllt, bzw. abgesandt.<br>
<br>
Mittels dieser Erhebung ist der Fragestellung nachgegangen worden, ob und wenn ja welche unterstützenden Maßnahmen an der FHP etabliert werden müssen, um den Umgang mit Forschungsdaten zu verbessern.<br>
Die Fragen sind so gewählt, dass die Antworten Erkenntnisse über Art und Umfang, Speicherung und Sicherung, Management und Teilen (data share) der Daten sowie über spezifische Leitlinien, Probleme und Servicebedarf in Bezug auf Forschungsdaten, liefern.<br>
<br>
Der vorliegende Datensatz enthält die Dokumentation der Inhalte, Entscheidungen, Aufgaben und Fragen in Form eines publizierten Projektberichts (ISBN: 978-3-934329-95-9, DOI: 10.5281/zenodo.1161792) sowie die Rohdatensätze und die prozessierten Datensätze der Umfrage.
DOI: 10.17632/yphyj7jscn.1
title: Data for: Monolithically integrated electrochemical energy storage modules

description: Experimental data, charge discharge curves
DOI: 10.17632/ywm6mhmcsf.2
title: Data for: Experimental reinvestigation and thermodynamic description of Bi-Te binary system

description: the set of thermodynamic parameters is provided as Bi-Te.TDB . the raw data of the experiement are shown in the tables.
DOI: 10.5281/zenodo.1157906
title: Data For Clarkson, Dwyer, Flecknell, Leach And Rowe, 'Handling Method Alters The Hedonic Value Of Reward In Laboratory Mice'

description: Raw data files for the paper 'Handling method alters the hedonic value of reward in laboratory mice' by Jasmine M Clarkson, Dominic M Dwyer, Paul A Flecknell, Matthew C Leach and Candy Rowe.
description: This work was funded by a BBSRC DTP studentship grant (BB/J014516/1).
DOI: 10.5281/zenodo.1157907
title: Data For Clarkson, Dwyer, Flecknell, Leach And Rowe, 'Handling Method Alters The Hedonic Value Of Reward In Laboratory Mice'

description: Raw data files for the paper 'Handling method alters the hedonic value of reward in laboratory mice' by Jasmine M Clarkson, Dominic M Dwyer, Paul A Flecknell, Matthew C Leach and Candy Rowe.
description: This work was funded by a BBSRC DTP studentship grant (BB/J014516/1).
DOI: 10.5281/zenodo.1165655
title: Nephele Big Data Experiment

description: The big data experiments use HiBench for benchmarking, which generates data using a number of data generators. These generators generate text data, web-data that follows a Zipfian distribution, numeric data for k-means clustering following a uniform or Gaussian distribution. Each of those benchmark instances consists of ten micro benchmarks. Some of those micro benchmarks provide multiple implementations. These differ in language of implementation and framework. The frameworks includes Hadoop and Spark. The Spark-based implementations feature code in Java, Python, and Scala. Below is a list of evaluated workloads and data:

1. Sort – This micro benchmark sorts text data, which is generated by RandomTextWriter.

2. WordCount – This micro-benchmark counts the occurrences of words in the input data, which is generated by RandomTextWriter.

3. TeraSort – This micro benchmark sorts a large data set generated by TeraGen. This micro benchmark has been used to push the boundaries of sorting very large data sets.

4. Sleep – This micro benchmark sleeps for a set amount of time to test the scheduler.

5. SQL (Scan, Join, Aggregate) – This benchmark tests typical SQL commands using Hive queries. The benchmark operates on generated hyperlinks.

6. PageRank – This benchmark computes the PageRank on generated hyperlinks.

7. Nutch indexing – Nutch is an Apache search engine and implements an indexing algorithm. The benchmark operates on generated web sites with words and hyperlinks.

8. Bayesian classification – This benchmarks uses Spark MLLib and Mahout to perform Naive Bayesian classification. The data consists of generated text documents.

9. K-means clustering – In this benchmark the k-means clustering algorithm in Spark MLLib/Mahout is used to cluster generated input data. 

10. Enhanced DFSIO – This benchmark tests the HDFS throughput by generating a large number of tasks that simultaneously write and read data from HDFS.
DOI: 10.5281/zenodo.1165656
title: Nephele Big Data Experiment

description: The big data experiments use HiBench for benchmarking, which generates data using a number of data generators. These generators generate text data, web-data that follows a Zipfian distribution, numeric data for k-means clustering following a uniform or Gaussian distribution. Each of those benchmark instances consists of ten micro benchmarks. Some of those micro benchmarks provide multiple implementations. These differ in language of implementation and framework. The frameworks includes Hadoop and Spark. The Spark-based implementations feature code in Java, Python, and Scala. Below is a list of evaluated workloads and data:

1. Sort – This micro benchmark sorts text data, which is generated by RandomTextWriter.

2. WordCount – This micro-benchmark counts the occurrences of words in the input data, which is generated by RandomTextWriter.

3. TeraSort – This micro benchmark sorts a large data set generated by TeraGen. This micro benchmark has been used to push the boundaries of sorting very large data sets.

4. Sleep – This micro benchmark sleeps for a set amount of time to test the scheduler.

5. SQL (Scan, Join, Aggregate) – This benchmark tests typical SQL commands using Hive queries. The benchmark operates on generated hyperlinks.

6. PageRank – This benchmark computes the PageRank on generated hyperlinks.

7. Nutch indexing – Nutch is an Apache search engine and implements an indexing algorithm. The benchmark operates on generated web sites with words and hyperlinks.

8. Bayesian classification – This benchmarks uses Spark MLLib and Mahout to perform Naive Bayesian classification. The data consists of generated text documents.

9. K-means clustering – In this benchmark the k-means clustering algorithm in Spark MLLib/Mahout is used to cluster generated input data. 

10. Enhanced DFSIO – This benchmark tests the HDFS throughput by generating a large number of tasks that simultaneously write and read data from HDFS.
DOI: 10.15129/18b67297-5f27-4c5f-b170-8d0c21dfc656
title: Data for: "Degradation behavior of silk nanoparticles – enzyme responsiveness"

description: Native and PEGylated silk nanoparticles have been developed and designed for lysosomotropic drug delivery that they ultimately traffic into lysosomes, where the low pH and lysosomal enzymes trigger payload release. Our aim was therefore to investigate degradation behaviour of native and PEGylated silk nanoparticles in protease enzymes (protease XIV and α-chymotrypsin), a cysteine protease (papain) and ex-vivo enzymes from lysosomes.

All datasets for each figure provided in separate zipped folders. All measurements, equipment and software used in this study are detailed in the Readme file provided.
DOI: 10.21227/h21d3x
title: Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data
DOI: 10.6073/pasta/15a68e643d4c359a8c62efe1099b508f
title: Surface Water Quality Monitoring Data collected in South Florida Coastal Waters (FCE) from June 1989 to Present
DOI: 10.15468/q8qu7q
title: Crenicichla ploegi, a new species of pike-cichlid of the C. saxatilis group from the Rio Juruena and upper Rio Paraguai basins in Brazil, with an updated diagnosis and biogeographical comments on the group (Teleostei: Cichlidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Varella, Henrique R., Loeb, Marina V., Lima, Flávio C. T., Kullander, Sven O. (2018): Crenicichla ploegi, a new species of pike-cichlid of the C. saxatilis group from the Rio Juruena and upper Rio Paraguai basins in Brazil, with an updated diagnosis and biogeographical comments on the group (Teleostei: Cichlidae). Zootaxa 4377 (3): 361-386, DOI: https://doi.org/10.11646/zootaxa.4377.3.3
DOI: 10.18434/t4kp8j
title: NIST High Temperature Superconducting Materials Database - SRD 62

description: The NIST WWW High Temperature Superconductors database (WebHTS) provides evaluated thermal, mechanical, and superconducting property data for oxide superconductors. The range of materials covers the major series of compounds derived from the Y-Ba-Cu-O, Bi-Sr-Ca-Cu-O, Tl-Sr-Ca-Cu-O, and La-Cu-O chemical families, along with numerous other variants of the cuprate and bismuthate materials that are known to have superconducting phases. The materials are described by specification and characterization information that includes processing details and chemical compositions. Physical characteristics such as density and crystal structure are given in numeric tables. All measured values are evaluated and supported by descriptions of the measurement methods, procedures, and conditions. In all cases, the sources of the data are fully documented in a comprehensive bibliography.
DOI: 10.5255/ukda-sn-7856-3
title: Integrated Census Microdata (I-CeM) Names and Addresses, 1851-1911: Special Licence Access
DOI: 10.15468/8qqg6w
title: Additions to the Tanaidomorpha (Crustacea: Tanaidacea) from mud volcanoes and coral mounds of the Gulf of Cadiz and Horseshoe Continental Rise

description: This dataset contains the digitized treatments in Plazi based on the original journal article Esquete, Patricia, Cunha, Marina R. (2018): Additions to the Tanaidomorpha (Crustacea: Tanaidacea) from mud volcanoes and coral mounds of the Gulf of Cadiz and Horseshoe Continental Rise. Zootaxa 4377 (4): 517-541, DOI: https://doi.org/10.11646/zootaxa.4377.4.3
DOI: 10.17632/tc4c79zjg8.1
title: TFG

description: La danza urbana como herramienta educativa en adolescentes de exclusión social.
DOI: 10.15468/vpnxvo
title: A review of the genus Triancyra Baltazar (Ichneumonidae: Rhyssinae) from Vietnam, with descriptions of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pham, Nhi Thi, Broad, Gavin R., Zhu, Chao-Dong, Achterberg, Cornelis Van (2018): A review of the genus Triancyra Baltazar (Ichneumonidae: Rhyssinae) from Vietnam, with descriptions of three new species. Zootaxa 4377 (4): 565-574, DOI: https://doi.org/10.11646/zootaxa.4377.4.5
DOI: 10.17632/hfkm6n957j.1
title: Data for: Pooling Stated and Revealed Preference Data in the Presence of RP Endogeneity

description: This zip file contains all of the results from our model simulations used to create the figures and tables in the manuscript.
DOI: 10.5281/zenodo.1165999
title: Cryoem Models And Associated Data Submitted To The 2015/2016 Emdatabank Model Challenge

description: Files and metadata associated with the EMDataBank/Unified Data Resource for 3DEM 2015/2016 Models Challenge hosted at challenges.emdatabank.org are deposited.

All members of the Scientific Community--at all levels of experience--were invited to participate as Challengers, and/or as Assessors.

Eight recently determined target structures were selected for the challenge. All of the maps were archived in the EM Data Bank (EMDB; http://emdatabank.org).

In total 16 Challengers created 106 models and uploaded their results with associated details.  In the zip files, each entry is represented in a folder containing the original deposition upload (deposited_EM.pdb), initial processing at RCSB/Rutgers (deposited_EM_edited.pdb, maxit.cif, maxit.cif.pdb) and final model version evaluated (model-compare.pdb) at UC Davis (http://model-compare.emdatabank.org).

This model challenge was one of two community-wide challenges sponsored by EMDataBank in 2015/2016 to critically evaluate 3DEM methods that are coming into use, with the ultimate goal of developing validation criteria associated with every 3DEM map and map-derived model.
description: The 2015/2016 Model Challenge was supported by the US National Institutes of Health / National Institute for General Medical Sciences (NIH/NIGMS) Under Grant Number R01 GM079429 to Wah Chiu (PI).
description: {"references": ["Henderson et al (2012) Outcome of the first electron microscopy validation task force meeting. doi:10.1016/j.str.2011.12.014", "Lawson et al (2016) EMDataBank unified data resource for 3DEM. doi:10.1093/nar/gkv1126"]}
DOI: 10.6073/pasta/d99133ca0e351d03fecfb093fe10d90b
title: Microclimate at Harvard Forest HEM, LPH and EMS Towers since 2005
DOI: 10.15468/tquayo
title: Description of the male of Antodice quadrimaculata Martins & Galileo, 2003 (Coleoptera, Cerambycidae, Lamiinae), with new country record for the species

description: This dataset contains the digitized treatments in Plazi based on the original journal article De Barros, Rafael C., Silva, Bianca Piraccini, De Alvarenga Julio, Carlos E. (2018): Description of the male of Antodice quadrimaculata Martins & Galileo, 2003 (Coleoptera, Cerambycidae, Lamiinae), with new country record for the species. Zootaxa 4377 (4): 577-580, DOI: https://doi.org/10.11646/zootaxa.4377.4.7
DOI: 10.17632/vy9sm55ppf.1
title: Data for: A small peptide derived from BMP-9 can increase the effect of bFGF and NGF on SH-SY5Y cells differentiation

description: Measurements of neurite outgrowth in human neuroblastoma cells stimulated by various growth factors/peptides combination.
DOI: 10.17632/mp2mtfh9hb.1
title: PGWodehouse Italian translations 1928-2017

description: Starting from the complete list P.G.Wodehouse’s works supplied by the P.G. Wodehouse Society (* on dataset; see Related links on this page), a survey was conducted in order to list all works translated into Italian, to match each original work with its Italian title/s, to find out how many Italian editions of each title have been issued to date (2017) and if new translations had been released over time. The dataset contains information on all editions published in Italy from 1928 to 2017. For each edition, data include: original title, year of publication, name of the translator, and publishing company. The spreadsheet is meant to be updated any time new information is found.
DOI: 10.17632/t33byr6cpt.4
title: Bengali Speech Recognition - Bangla Real Number Audio Dataset

description: ======================================================== This dataset is developed by Md Ashraful Islam, SUST CSE'2010 Md Mahadi Hasan Nahid, SUST CSE'2010 (nahid-cse@sust.edu) Md Saiful Islam, (saiful-cse@sust.edu) Department of Computer Science and Engineering (CSE) Shahjalal University of Science and Technology (SUST), www.sust.edu Special Thanks To Mohammad Al-Amin, SUST CSE'2011 Md Mazharul Islam Midhat, SUST CSE'2010 Md Mahedi Hasan Nayem, SUST CSE'2010 Avro Key Board, Omicron lab, https://www.omicronlab.com/index.html ========================================================= It is a Audio Text Parallel Corpus. This dataset contains Some Recording Audio of Bangla Real Number and Its Coresponding Text. Specially designed for Bangla Speech recognition. There are five speakers(alamin, ashraful, midhat, nahid, nayem) in this dataset. Vocabulary Contains only bangla real numbers (shunno-ekshoto, hazar, loksho, koti, doshomic etc.) Total Number of Audio file : 175 (35 from each speaker) Age range of the speakers : 20-23 Total Size: 32.4MB ========================================================== TextData.txt file contains the text of the audio set. Each line starts with  tag and ends with  tag. The file name is added after each line using parenthesis, in this audio file you will get its recorder Audio Data. This text data actually generated using Avro (Free Opensourse Writting Software). ========================================================== For Full Data: please contact nahid-cse@sust.edu
DOI: 10.17632/wbzr6xv6xp.1
title: Evaluating the impact of oral submucous fibrosis on oral health quality of life

description: The data presented shows the responses given by the participants of the study with and without oral submucous fibrosis regarding the WHOQOL-BREF questionnaire.