cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5584456
title: The transverse and longitudinal elastic constants of pulp fibers in paper sheets

description: Data and MATLAB code to generate the results and figures presented in The transverse and longitudinal elastic constants of pulp fibers in paper sheets, In prep. 2021. Instructions: 1. Make sure MATLAB is installed on your system. Tested on MATLAB 2021a. 2. Download all the files, unzip the zipped data folders. 3. Run the code, starting with mainCzibulaBrandberg2021.m 4. Intermediate results can be recalculated by changing the pointer from the saved .MAT files to the outputs of new runs. See the intermediate functions (e.g. indentationMain.m ). Should something not work, please do get in touch with the authors! /A. Brandberg, 2021-08-06<br>
DOI: 10.5281/zenodo.5163180
title: The transverse and longitudinal elastic constants of pulp fibers in paper sheets

description: Data and MATLAB code to generate the results and figures presented in The transverse and longitudinal elastic constants of pulp fibers in paper sheets, In prep. 2021. Instructions: 1. Make sure MATLAB is installed on your system. Tested on MATLAB 2021a. 2. Download all the files, unzip the zipped data folders. 3. Run the code, starting with mainCzibulaBrandberg2021.m 4. Intermediate results can be recalculated by changing the pointer from the saved .MAT files to the outputs of new runs. See the intermediate functions (e.g. indentationMain.m ). Should something not work, please do get in touch with the authors! /A. Brandberg, 2021-08-06<br>
DOI: 10.5281/zenodo.5584706
title: Database of Medieval Nubian Identity Markers (version 1.0)

description: The Database of Medieval Nubian Identity Markers (DBMNIM) has been created in the framework of the project <em>IaM NUBIAN. Identity and Memory in Christian Nubia: A study on strategies of (self-)presentation and preservation of the past in medieval African society.</em> The DBMNIM is a relational database which fits into a bigger structure of a database of written sources originating from the Middle Nile Valley in Middle Ages, under continuous development by myself. The basic component of this structure is the Database of Medieval Nubian Texts (DBMNT), available online at www.dbmnt.uw.edu.pl, from which the DBMNIM draws the basic metadata for any given text included in the database. The DBMNIM has a three-level structure, represented by three interconnected tables: “Identity markers”, “IM Variants”, and “IM References”, and contains a variety of data that allow the recognition of identity(-ies) of persons occurring in the sources. For the time being, only textual identity markers are covered in the DBMNIM, but the database is designed to include also non-textual markers (graphic signs and representations, contextual information). The database has been designed in FileMaker Pro 16 and the upload includes the original database file in the .fmp12 format. However, in order to ensure a wide accessibility, the contents of the database has been exported into .xml, .csv, and .xlsx files. For detailed information on the structure and contents of the DBMNIM, see the attached DBMNIM_upload_documentation_1_0.pdf file.
DOI: 10.5281/zenodo.5584705
title: Database of Medieval Nubian Identity Markers (version 1.0)

description: The Database of Medieval Nubian Identity Markers (DBMNIM) has been created in the framework of the project <em>IaM NUBIAN. Identity and Memory in Christian Nubia: A study on strategies of (self-)presentation and preservation of the past in medieval African society.</em> The DBMNIM is a relational database which fits into a bigger structure of a database of written sources originating from the Middle Nile Valley in Middle Ages, under continuous development by myself. The basic component of this structure is the Database of Medieval Nubian Texts (DBMNT), available online at www.dbmnt.uw.edu.pl, from which the DBMNIM draws the basic metadata for any given text included in the database. The DBMNIM has a three-level structure, represented by three interconnected tables: “Identity markers”, “IM Variants”, and “IM References”, and contains a variety of data that allow the recognition of identity(-ies) of persons occurring in the sources. For the time being, only textual identity markers are covered in the DBMNIM, but the database is designed to include also non-textual markers (graphic signs and representations, contextual information). The database has been designed in FileMaker Pro 16 and the upload includes the original database file in the .fmp12 format. However, in order to ensure a wide accessibility, the contents of the database has been exported into .xml, .csv, and .xlsx files. For detailed information on the structure and contents of the DBMNIM, see the attached DBMNIM_upload_documentation_1_0.pdf file.
DOI: 10.15482/usda.adc/1523390
title: The Bronson Files, Dataset 5, Field 105, 2014
DOI: 10.5281/zenodo.5584694
title: Arius dioctes RB0463 ARBOR SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5584693
title: Arius dioctes RB0463 ARBOR SPAdes preassembly

description: .
DOI: 10.7303/syn26376615
title: PolypGen dataset: A multi-center polyp detection and segmentation dataset for generalisability assessment
DOI: 10.22024/unikent/01.01.402
title: Range-wide decline of Chinese giant salamanders Andrias spp. from suitable habitat: Supplementary material
DOI: 10.6084/m9.figshare.16826374.v1
title: An Effective Model for Evaluating The Direct Infection Risk Associated to Respiratory Events

description: Dataset and scripts for reproducing the figures included in the paper "an effective model for evaluating the direct infection risk associated to respiratory events".DOI: <br>Instructions for reproducing the figures:<br>-Figure 2 (manuscript): Run the gnuplot script "figure2.py"-Figure 3 (manuscript): Run the python script "figure3.py"-Figure 4 (manuscript): Run the python script "figure4.py"-Figure 5 (manuscript): Run the python script "figure5.py"<br>-Figure 6 (manuscript): Run the python script "figure6.py"<br><br><br>Each zip file contains all the raw data required to reproduce the respective image. The resulting plots are also provided in *.png or *.pdf formats.
DOI: 10.15468/x824zs
title: Centaurea peltieri (Asteraceae), a new endemic species from the Oriental High Atlas of Morocco

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bakali, A. Homrani, Susanna, A. (2021): Centaurea peltieri (Asteraceae), a new endemic species from the Oriental High Atlas of Morocco. Phytotaxa 523 (2): 192-198, DOI: 10.11646/phytotaxa.523.2.6
DOI: 10.15468/3d697s
title: Two new species of Sweltsa (Plecoptera: Chloroperlidae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Wenliang, Wang, Yingying, Li, Weihai, Li, Mengyu (2021): Two new species of Sweltsa (Plecoptera: Chloroperlidae) from China. Zootaxa 5057 (1): 145-150, DOI: https://doi.org/10.11646/zootaxa.5057.1.10
DOI: 10.5517/ccdc.csd.cc287nls
title: CCDC 2092735: Experimental Crystal Structure Determination

description: Related Article: Rémy Brousses, Vincent Maurel, Jean-Marie Mouesca, Vincent César, Noël Lugan, Dmitry A. Valyaev|2021|Dalton Trans.|50|14264|doi:10.1039/D1DT02182F
DOI: 10.5517/ccdc.csd.cc287nmt
title: CCDC 2092736: Experimental Crystal Structure Determination

description: Related Article: Rémy Brousses, Vincent Maurel, Jean-Marie Mouesca, Vincent César, Noël Lugan, Dmitry A. Valyaev|2021|Dalton Trans.|50|14264|doi:10.1039/D1DT02182F
DOI: 10.5517/ccdc.csd.cc287nnv
title: CCDC 2092737: Experimental Crystal Structure Determination

description: Related Article: Rémy Brousses, Vincent Maurel, Jean-Marie Mouesca, Vincent César, Noël Lugan, Dmitry A. Valyaev|2021|Dalton Trans.|50|14264|doi:10.1039/D1DT02182F
DOI: 10.5517/ccdc.csd.cc287npw
title: CCDC 2092738: Experimental Crystal Structure Determination

description: Related Article: Rémy Brousses, Vincent Maurel, Jean-Marie Mouesca, Vincent César, Noël Lugan, Dmitry A. Valyaev|2021|Dalton Trans.|50|14264|doi:10.1039/D1DT02182F
DOI: 10.5517/ccdc.csd.cc287nqx
title: CCDC 2092739: Experimental Crystal Structure Determination

description: Related Article: Rémy Brousses, Vincent Maurel, Jean-Marie Mouesca, Vincent César, Noël Lugan, Dmitry A. Valyaev|2021|Dalton Trans.|50|14264|doi:10.1039/D1DT02182F
DOI: 10.5517/ccdc.csd.cc288hz1
title: CCDC 2093553: Experimental Crystal Structure Determination

description: Related Article: Lu-Ming Deng, Li-Jun Hu, Wei Tang, Jia-Xin Liu, Xiao-Jun Huang, Yue-Yue Li, Yao-Lan Li, Wen-Cai Ye, Ying Wang|2021|Org.Chem.Front.|8|5728|doi:10.1039/D1QO00989C
DOI: 10.5517/ccdc.csd.cc288j03
title: CCDC 2093554: Experimental Crystal Structure Determination

description: Related Article: Lu-Ming Deng, Li-Jun Hu, Wei Tang, Jia-Xin Liu, Xiao-Jun Huang, Yue-Yue Li, Yao-Lan Li, Wen-Cai Ye, Ying Wang|2021|Org.Chem.Front.|8|5728|doi:10.1039/D1QO00989C
DOI: 10.5517/ccdc.csd.cc288j14
title: CCDC 2093555: Experimental Crystal Structure Determination

description: Related Article: Lu-Ming Deng, Li-Jun Hu, Wei Tang, Jia-Xin Liu, Xiao-Jun Huang, Yue-Yue Li, Yao-Lan Li, Wen-Cai Ye, Ying Wang|2021|Org.Chem.Front.|8|5728|doi:10.1039/D1QO00989C
DOI: 10.5281/zenodo.5579239
title: Data characteristic and spurious correlation

description: Database and scripts in R of the doctoral thesis "Análisis composicional del acceso a servicios de agua, saneamiento e higiene y medida de sus desigualdades"
DOI: 10.5281/zenodo.5579238
title: Data characteristic and spurious correlation

description: Database and scripts in R of the doctoral thesis "Análisis composicional del acceso a servicios de agua, saneamiento e higiene y medida de sus desigualdades"
DOI: 10.25721/xpat-t595
title: Valse, précédée par l'information sur le jeu de la guitare, l'acquisition des instruments et les coutumes de jeu
DOI: 10.5281/zenodo.3944484
title: Identity Preserved Tracking (IPT) Dataset

description: The IPT (Identity Preserved Tracking) dataset consisting of 10 sequences of depth data recorded using an Orbbec Astra depth sensor. It features sequences in ten different locations with a high amount of background variation and is designed to be applicable to a wide range of tasks. Its labeling is versatile, allowing for tracking in either 3d space or image coordinates. Next to frame-by-frame 3d and inferred bounding box labeling we provide supplementary annotation of camera poses and room layouts, split in multiple semantically distinct categories. Intended use-cases are applications where both a high level understanding of scene understanding and privacy are central points of consideration, such as active and assisted living (AAL), security and industrial safety. This database may be used for non-commercial research purpose only. If you publish material based on this database, we request that you include a reference to our paper [1]. [1] Heitzinger T. and Kampel M. “IPT: A Dataset for Identity Preserved Tracking in Closed Domains”, in Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, January 2021
DOI: 10.5281/zenodo.3944483
title: Identity Preserved Tracking (IPT) Dataset

description: The IPT (Identity Preserved Tracking) dataset consisting of 10 sequences of depth data recorded using an Orbbec Astra depth sensor. It features sequences in ten different locations with a high amount of background variation and is designed to be applicable to a wide range of tasks. Its labeling is versatile, allowing for tracking in either 3d space or image coordinates. Next to frame-by-frame 3d and inferred bounding box labeling we provide supplementary annotation of camera poses and room layouts, split in multiple semantically distinct categories. Intended use-cases are applications where both a high level understanding of scene understanding and privacy are central points of consideration, such as active and assisted living (AAL), security and industrial safety. This database may be used for non-commercial research purpose only. If you publish material based on this database, we request that you include a reference to our paper [1]. [1] Heitzinger T. and Kampel M. “IPT: A Dataset for Identity Preserved Tracking in Closed Domains”, in Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, January 2021
DOI: 10.25721/8n23-rx06
title: Tango
DOI: 10.25318/1310076801-fra
title: Nombre provisoire de décès hebdomadaires, selon le groupe d'âge et le sexe

description: Ce tableau fournit aux Canadiens et aux chercheurs des données provisoires pour surveiller les tendances de décès hebdomadaires selon le groupe d'âge et le sexe au Canada. Étant donné les retards supplémentaires pour la réception des données provenant des bureaux des statistiques de l'état civil, ces données sont considérées comme provisoires. Les données affichées dans ce tableau seront disponibles par province ou territoire.
DOI: 10.5281/zenodo.5574493
title: Eating, Drinking & Data Mining Old

description: Dataset with the restaurants of Alcalá de Henares
DOI: 10.25318/1310078301-eng
title: Previous releases and revisions to provisional weekly death counts

description: This table provides Canadians and researchers with provisional data to monitor weekly death trends in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.
DOI: 10.25318/1310078301-fra
title: Diffusions antérieures et révisions du nombre provisoire de décès hebdomadaire

description: Ce tableau fournit aux Canadiens et aux chercheurs des données provisoires pour surveiller les tendances de décès hebdomadaires au Canada. Étant donné les retards supplémentaires pour la réception des données provenant des bureaux des statistiques de l'état civil, ces données sont considérées comme provisoires. Les données affichées dans ce tableau seront disponibles par province ou territoire.
DOI: 10.6084/m9.figshare.16834507
title: July 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in July, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16834507.v1
title: July 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in July, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16834510
title: August 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in August, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.14769960.v2
title: Data from: Daily activity patterns as an emerging means to explore ecological questions

description: Literature review data; answers to 21 questions.
DOI: 10.6084/m9.figshare.16836643.v1
title: p62/SQSTM1-mediated clearance of cytoplasmic mutant TDP-43 in the monkey brain

description: The supporting data of RIPseq and RNAseq data.
DOI: 10.25318/1310081001-eng
title: Provisional weekly death counts, by selected grouped causes of death

description: This table provides Canadians and researchers with provisional data to monitor weekly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.
DOI: 10.25318/1310081001-fra
title: Nombre provisoire de décès hebdomadaires, selon certains groupes de causes de décès

description: Ce tableau fournit aux Canadiens et aux chercheurs des données provisoires pour surveiller les tendances de décès hebdomadaires selon certains groupes de causes de décès au Canada. Étant donné les retards supplémentaires pour la réception des données provenant des bureaux des statistiques de l'état civil, ces données sont considérées comme provisoires. Les données affichées dans ce tableau seront disponibles par province ou territoire.
DOI: 10.6084/m9.figshare.13377311
title: Benthic aquatic invertebrate families of an Atlantic Forest stream (Tijuca Forest, Rio de Janeiro, Brazil)

description: Here we provide the dataset of the paper "Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeasten Brazil)", published in Iheringia, Série Zoologia.<br>The dataset.xlsx comprises the complete data with the taxa, specimens number, sampling date, substrates and water velocity sampled.<br>
DOI: 10.6084/m9.figshare.13377311.v1
title: Benthic aquatic invertebrate families of an Atlantic Forest stream (Tijuca Forest, Rio de Janeiro, Brazil)

description: Here we provide the dataset of the paper "Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeasten Brazil)", published in Iheringia, Série Zoologia.<br>The dataset.xlsx comprises the complete data with the taxa, specimens number, sampling date, substrates and water velocity sampled.<br>
DOI: 10.5281/zenodo.5585051
title: Eating, Drinking & Data Mining

description: Dataset with the restaurants of Alcalá de Henares
DOI: 10.5281/zenodo.5574492
title: Eating, Drinking & Data Mining

description: Dataset with the restaurants of Alcalá de Henares
DOI: 10.6073/pasta/ef2df4ce994109c7a5ce84b99e2976ee
title: Prieta stream - Discharge and water level at pool 0

description: This is a long-term monitoring of water discharge and water level at Prieta Stream. The monitoring point is located at Pool 0: which is the same location where we sample stream chemistry. Measurements are taken automatically with a pressure transducer: every 15 minutes. Measure are originally of pressure: which are translated to water level using the reference gauge. Using an equation provided by Dr. Fred Scatena: water level is converted into discharge. Stage height to discharge equation created by Fred N Scatena used from 2006 to 3-26-2013 10 AM: discharge (m3/sec) = 1.095 - 1.585 * stage + 0.578 * stage * stage Stage height to discharge equation created by William H McDowell and Jody Potter used from 3-26-2013 10:15 to present: discharge (m3/sec) = 0.0005*((stage)^8.8846)*35.314666
DOI: 10.6073/pasta/3b6772a88c05148a3de5f29414d54967
title: Prieta stream - Discharge and water level at pool 0

description: This is a long-term monitoring of water discharge and water level at Prieta Stream. The monitoring point is located at Pool 0: which is the same location where we sample stream chemistry. Measurements are taken automatically with a pressure transducer: every 15 minutes. Measure are originally of pressure: which are translated to water level using the reference gauge. Using an equation provided by Dr. Fred Scatena: water level is converted into discharge. Stage height to discharge equation created by Fred N Scatena used from 2006 to 3-26-2013 10 AM: discharge (m3/sec) = 1.095 - 1.585 * stage + 0.578 * stage * stage Stage height to discharge equation created by William H McDowell and Jody Potter used from 3-26-2013 10:15 to present: discharge (m3/sec) = 0.0005*((stage)^8.8846)*35.314666
DOI: 10.6084/m9.figshare.16837996
title: September 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in September, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.5281/zenodo.5585298
title: University students' adherence and vaccination attitude during the COVID-19 pandemic

description: Data on university students' adherence and vaccination attitudes, accompanying the manuscript a manuscript (in press). Data collection took place between November 23rd and December 21st, 2020. The sample consists of German-speaking university students, recruited at Innsbruck Universities. Scale Sources: <br> Reactance - COSMO COVID-19 Snapshot Monitoring <br> Betsch, C., Korn, L., Felgendreff, L., Eitze, S., Schmid, P., Sprengholz, P., Wieler, L., Schmich, P., Stollorz, V., Ramharter, M., Bosnjak, M., Omer, S., Thaiss, H., Bock, F. de, & Rüden, U. von (2020). <em>Covid-19 Snapshot Monitoring (COSMO Germany) - Welle 27</em>. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4381