cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.47394
title: Combining Internal And External Motivations In Multi-Actor Governance Arrangements For Biodiversity And Ecosystem Services

description: These files provide the original survey data of the paper on motivations for biodiversity conservation in Europe. This paper analyses the possibility of building a mutually supportive dynamics between internally and<br>
externally motivated behaviour for biodiversity conservation and ecosystem services provision. To this<br>
purpose a face to face survey amongst 169 key actors of 34 highly successful and prominent biodiversity<br>
arrangements in seven EU countries was conducted. The main<br>
finding of the paper is the feasibility of<br>
combining inherently intrinsically motivated behaviours (providing enjoyment, pleasure from<br>
experimentation and learning, aesthetic satisfaction) and internalized extrinsic motivations (related<br>
to the identification with the collective goals of conservation policy) through a common set of governance<br>
features. Successful initiatives that combine internal and external motivations share the following<br>
features: inclusive decision making processes, a broad monitoring by “peers” beyond the core staff of the<br>
initiatives, and a context that is supportive for the building of autonomous actor competences. These<br>
findings are in line with the psycho-sociological theory of motivation, which shows the importance of a<br>
psycho-social context leading to a subjective perception of autonomy and a sense of competence of the<br>
actors.
DOI: 10.5281/zenodo.47397
title: Global Scientific Research Commons Under The Nagoya Protocol: Towards A Collaborative Economy Model For The Sharing Of Basic Research Assets

description: This paper aims to get a better understanding of the motivational and transaction cost features of<br>
building global scientific research commons, with a view to contributing to the debate on the design of<br>
appropriate policy measures under the recently adopted Nagoya Protocol. For this purpose, the paper<br>
analyses the results of a world-wide survey of managers and users of microbial culture collections, which<br>
focused on the role of social and internalized motivations, organizational networks and external<br>
incentives in promoting the public availability of upstream research assets. Overall, the study confirms<br>
the hypotheses of the social production model of information and shareable goods, but it also shows the<br>
need to complete this model. For the sharing of materials, the underlying collaborative economy in<br>
excess capacity plays a key role in addition to the social production, while for data, competitive pressures<br>
amongst scientists tend to play a bigger role.
DOI: 10.5281/zenodo.570064
title: Moma Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5281/zenodo.58282
title: Coûts De Documentation Électronique À La Bibliothèque Clermont Université (Electronic Resources Costs At Clermont University Library), 2009-2015

description: Ce tableau présente les dépenses de documentation électronique de la Bibliothèque Clermont Université entre 2009 et 2015, par éditeur et par an. Les montants sont indiqués en euros TTC.
description: Le fichier est commenté dans un court billet de blog à l'adresse suivante : http://alambic.hypotheses.org/6188
DOI: 10.5281/zenodo.58308
title: Pygbe Performance Check Meshes

description: This zip-file includes the meshes needed to run reproduce performance benchmarks for PyGBe, a Barba group open source Python GPU code for Boundary elements that does molecular electrostatics calculations with a continuum approach. https://github.com/barbagroup/pygbe
DOI: 10.5281/zenodo.58365
title: Doc Prova

description: doc de prova
DOI: 10.5281/zenodo.58423
title: Association Between Diabetic Neuropathy And Clinical Variables In Users Of A Health Care Center In Brazil

description: Database of 207 patients with clinical and sociodemographic information for statistical analysis. No identification of participants.
DOI: 10.5281/zenodo.58501
title: Spectra From The Simp Survey

description: This dataset contains all spectra published in the SIMP survey paper (http://adsabs.harvard.edu/abs/2016arXiv160706117R). Please reference it if you use any of the data.

All spectra are provided in three formats : FITS files, ascii TXT files, and PNG previews.

These data are part of the Montreal Spectral Library, located at https://jgagneastro.wordpress.com/the-montreal-spectral-library/
DOI: 10.13012/b2idb-6485436_v1
title: Data from: Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion

description: This dataset contains the PartMC-MOSAIC simulations used in the article “Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion”. The data is organized as a set of folders, each folder representing a different scenario modeled. Each folder contains a series of NetCDF files, which are the output of the PartMC-MOSAIC simulation. They contain information on particle and gas properties, both of the biofuel burning plume and background. Input files for PartMC-MOSAIC are also included. This dataset was used during the open review process at Atmospheric Chemistry and Physics (ACP) and supports both the discussion paper and final article.
DOI: 10.5281/zenodo.30463
title: Lu_Example_Float#Cpus:15#Gpus:1.16.Paje.Trace

description: File: lu_example_float#CPUs:15#GPUs:1.16.paje.trace
DOI: 10.5281/zenodo.30464
title: Lu_Example_Float#Cpus:3#Gpus:1.6.Paje.Trace

description: File: lu_example_float#CPUs:3#GPUs:1.6.paje.trace
DOI: 10.5281/zenodo.30465
title: Lu_Example_Float#Cpus:1#Gpus:1.1.Paje.Trace

description: File: lu_example_float#CPUs:1#GPUs:1.1.paje.trace
DOI: 10.5281/zenodo.30466
title: Lu_Example_Float#Cpus:7#Gpus:0.14.Paje.Trace

description: File: lu_example_float#CPUs:7#GPUs:0.14.paje.trace
DOI: 10.5281/zenodo.30467
title: Lu_Example_Float#Cpus:9#Gpus:1.11.Paje.Trace

description: File: lu_example_float#CPUs:9#GPUs:1.11.paje.trace
DOI: 10.5281/zenodo.30468
title: Lu_Example_Float#Cpus:1#Gpus:2.3.Paje.Trace

description: File: lu_example_float#CPUs:1#GPUs:2.3.paje.trace
DOI: 10.5281/zenodo.30469
title: Lu_Example_Float#Cpus:6#Gpus:0.29.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:0.29.paje.trace
DOI: 10.5281/zenodo.30470
title: Lu_Example_Float#Cpus:7#Gpus:0.4.Paje.Trace

description: File: lu_example_float#CPUs:7#GPUs:0.4.paje.trace
DOI: 10.5281/zenodo.30471
title: Lu_Example_Float#Cpus:12#Gpus:2.3.Paje.Trace

description: File: lu_example_float#CPUs:12#GPUs:2.3.paje.trace
DOI: 10.5281/zenodo.58470
title: Bs-Seq Data For Viewbs

description: This is the test data for ViewBS.
description: {"references": ["Non-CG methylation patterns shape the epigenetic landscape in Arabidopsis."]}
DOI: 10.5281/zenodo.58556
title: Job Metrics For Big Data Technologies

description: This dataset contains metrics for a 10 minute job running on YARN. More specifically it contains metrics for:


	YARN
	HDFS
	System Metrics (CPU, RAM, HDD, Interface etc.)
DOI: 10.5281/zenodo.58579
title: Data And Computer Scripts For 'Place Recognition Using Batlike Sonar' (Elife)

description: The paper ‘Place recognition using batlike sonar’ can be freely accessed online at http://dx.doi.org/10.7554/eLife.14188. Contents, including text, figures, and data, are free to reuse under a CC BY 4.0 license. 

The uploaded files contain all data (including raw data), scripts and supporting files used in preparing the manuscript


	360panoramas.tar: 360 panoramic pictures taken at the locations at the St Andrews site.
	PhotosSites.tar: Additional pictures taken at the different ensonification sites
	ProcessData.tar: This contains all Matlab code for processing and visualizing the data. Also, it contains the templates for all locations as used in the paper.
	RawData.7z.0xx: These files contain the raw acoustic data as recorded from the microphones for all locations at each of the three sites. This data is provided as Matlab arrays. Due to the file size limitation of Zenodo, the archive has been split into 17 parts. Your archive manager should be able to open all data by accessing RawData.7z.001.
	Latex.tar: The latex source code and images for the final manuscript.
description: The paper ‘Place recognition using batlike sonar’ can be freely accessed online at http://dx.doi.org/10.7554/eLife.14188. Contents, including text, figures, and data, are free to reuse under a CC BY 4.0 license.
DOI: 10.5281/zenodo.58586
title: Literature Search: Remote Sensing In Conservation And Ecology

description: This file provides the raw data of a literature search that was conducted to demonstate the growing relevance and rapid devleopment of remote sensing in relation to conservation and ecology within academia. The search was performed using Scopus, a database of peer-reviewed literature, using the string "remote sensing" AND ["conservation" OR "ecology"].
DOI: 10.22021/bbldntz201707
title: The Linked Open British National Bibliography – Books. 1950/2017-07 – N-Triples
DOI: 10.22021/bbldrdfz201707
title: The Linked Open British National Bibliography – Books. 1950/2017-07 – RDF/XML
DOI: 10.22021/bcldntz201707
title: The Linked Open British National Bibliography – Forthcoming Books. 2017-07 – N-Triples
DOI: 10.22021/bsldntz201707
title: The Linked Open British National Bibliography – Serials. 1950/2017-07 – N-Triples
DOI: 10.22021/bsldrdfz201707
title: The Linked Open British National Bibliography – Serials. 1950/2017-07 – RDF/XML
DOI: 10.5281/zenodo.30472
title: Lu_Example_Float#Cpus:16#Gpus:1.22.Paje.Trace

description: File: lu_example_float#CPUs:16#GPUs:1.22.paje.trace
DOI: 10.5281/zenodo.30473
title: Lu_Example_Float#Cpus:5#Gpus:0.11.Paje.Trace

description: File: lu_example_float#CPUs:5#GPUs:0.11.paje.trace
DOI: 10.5281/zenodo.30474
title: Lu_Example_Float#Cpus:6#Gpus:2.4.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:2.4.paje.trace
DOI: 10.5281/zenodo.30475
title: Lu_Example_Float#Cpus:13#Gpus:0.4.Paje.Trace

description: File: lu_example_float#CPUs:13#GPUs:0.4.paje.trace
DOI: 10.5281/zenodo.30476
title: Lu_Example_Float#Cpus:15#Gpus:2.30.Paje.Trace

description: File: lu_example_float#CPUs:15#GPUs:2.30.paje.trace
DOI: 10.5281/zenodo.30478
title: Lu_Example_Float#Cpus:3#Gpus:0.28.Paje.Trace

description: File: lu_example_float#CPUs:3#GPUs:0.28.paje.trace
DOI: 10.5281/zenodo.30480
title: Lu_Example_Float#Cpus:1#Gpus:1.22.Paje.Trace

description: File: lu_example_float#CPUs:1#GPUs:1.22.paje.trace
DOI: 10.5281/zenodo.30481
title: Lu_Example_Float#Cpus:2#Gpus:2.25.Paje.Trace

description: File: lu_example_float#CPUs:2#GPUs:2.25.paje.trace
DOI: 10.5281/zenodo.47514
title: Rrsynthdata

description: Dataset for Respiratory Rate Algorithm
DOI: 10.5281/zenodo.47638
title: Systemic Inflammation: Methodological Approaches To Identification Of The Common Pathological Process

description: Files are dataset for submitted manuscript <strong>Systemic inflammation: methodological approaches to identification of the common pathological process. </strong>All primary data both of septic and nonifectious pathologies are included.
DOI: 10.5281/zenodo.47642
title: Continuum U-V Tables For Ngc 1333  Iras 2A (Pdbi, 203 Ghz), Ngc 1333 Iras 4A (Sma, 335), Ngc 1333 Iras 4B (Pdbi, 203),  And Vla 1623 (Alma, 219)

description: This archive is currently hosted at zenodo.com by Magnus Persson. If <br>
you downloaded it from elsewhere, please send me an <br>
email (magnusp@vilhelm.nu).

This data was observed at the IRAM Plateau de Bure Interferometer <br>
(now NOEMA), Atacama Large (sub-)Millimeter Array (ALMA) and <br>
SubMillimter Array (SMA). Any publication arising from this data <br>
should have the appropriate notice that is provided by the <br>
instititue in question (see http://iram.fr, http://almascience.org <br>
or http://sma1.sma.hawaii.edu/).

The data is provided as is, however, with this data it is possible <br>
to reproduce the results presented in the paper(s) : "Constraining <br>
the physical structure of the inner few 100 AU scales of <br>
deeply-embedded low-mass protostars.", Authors: M. V. Persson, D. <br>
Harsono, J. J. Tobin, E. F. van Dishoeck, J. K. Jørgensen, N. <br>
Murillo, and S.-P. Lai, journal Astronomy & Astrohpysics

<br>
This dataset currently contains the continuum subtracted UV-tables, <br>
in UVFITS format written by GILDAS MAPPING for the sources NGC 1333 <br>
IRAS 2A (203 GHz), NGC 1333 IRAS 4A (335), NGC 1333 IRAS 4B (203), <br>
and VLA 1623 (219).
description: If any publication is planned that will use this particular dataset, 
I would greatly appreciate a "heads up", as I am very interested in 
the re-use and further analysis of this data.

This work has benefited from research funding from the European 
Community's sixth Framework Programme under RadioNet R113CT 2003 
5058187. This paper made use of the following ALMA data: 
ADS/JAO.ALMA 2013.1.01004.S. ALMA is a partnership of ESO 
(representing its member states), NSF (USA), and NINS (Japan), 
together with NRC (Canada) and NSC and ASIAA (Taiwan), in 
cooperation with the Republic of Chile. The Joint ALMA Observatory 
is operated by ESO, AUI/NRAO, and NAOJ.  The Submillimeter Array is 
a joint project between the Smithsonian Astrophysical Observatory 
and the Academia Sinica Institute of Astronomy and Astrophysics and 
is funded by the Smithsonian Institution and the Academia Sinica. 
The authors wish to recognize and acknowledge the very significant 
cultural role and reverence that the summit of Mauna Kea has always 
had within the indigenous Hawaiian community. We are most fortunate 
to have the opportunity to conduct observations from this mountain.
DOI: 10.5281/zenodo.47709
title: Molecular Investigation Of Bacterial Communities On Two Frequently Used Surfaces In The São Paulo Institute Of Tropical Medicine

description: In this study, we aimed to investigate the overall bacterial population on two frequently used surfaces in the São Paulo institute of tropical medicine (ITM) using a culture-independent Illumina massively parallel sequencing approach of the 16S rRNA genes. The massive parallel sequencing data presented here were derived from the surface samples collected from restroom surfaces and the fingerprint door clock system (FDLS) in our ITM in São Paulo.
DOI: 10.5281/zenodo.47721
title: Open Digital Science Study - Scenarios

description: Narrative scenarios about envisaged future use of ODS exemplifying ODS semantics, implications, trends and thus providing the necessary level of concreteness for detailed discussions with experts and general public.

ODS concept and vision refinement are pursued using scenarios of potential future ODS usage as a proxy. The scenarios assist in communicating the vision, explore future trends, discuss options for measuring ODS uptake and impact and generally stimulate the discussion with a broad community. 

The different aspectsof ODS are difficult to embrace in a single definition or description. We therefore propose to facilitate the ODS vision validation using future ODS scenarios as an intermediary conceptual step. These scenarios about the future of ODS help to communicate the ideas, discuss trends and their implications, understand issues and collect policy needs. Scenario-based exploratory techniques have proven useful for strategic forecasting of technical trends [Geschka & Hanenwald 13, Mieke 07, Lizaso et al. 04] and more recently for research and technology policy [Prem et al. 14, Prem 14]. 

Open online discussions (facilitated by study team members and supported by the imagery of future ODS scenarios) play a central element of the ODS methodology. 

The scenarios facilitate communication of different ODS vision aspects and the expert and open community assessment.
DOI: 10.5281/zenodo.47732
title: 2010 Ismrm Recon Challenge - Need For Speed

description: <strong><em>Need for Speed</em></strong>.  Data were simulated using collected projection X-ray of an arterial bolus injection in a patient with an AVM.  X-ray data were collected 3 frames per second, for a total of 10 seconds (31 collected frames) which span wash-in to wash-out.  These were linearly interpolated in time between frames to create a total of 200 temporal images, each with 512x512 resolution.  B1-maps (provided with data) derived from an axial slice through a water phantom using an 8-channel head coil were superimposed on the image to create 8 “coil” images.  Independent noise was added to each channel.  The data were synthesized over 200 trajectories, each with 2000 points.  Data for each trajectory are synthesized from one temporal frame of the time series.<em>  </em><br>
<br>
<strong>Click here</strong> to get descriptions of trajectories (the pdf files), read/write code for C and Matlab, and B<sub>1 </sub>maps. <br>
<strong>Click here</strong> for the NFS truth data set, which has no header, is floating point (4 byte) real data, and arranged as a 3D array of 512x512x37.

You may then choose from any of the following sets:

A.  <strong>Click here</strong> to get a <strong>Spiral</strong> trajectory coordinates and data. (trajectory designed by Nick Zwart, <br>
     Barrow Neurological Institute)

B.  <strong>Click here</strong> to get a <strong>PR</strong> trajectory coordinates and data. (trajectory designed by Alexey Samsonov, <br>
     University of Wisconsin)
description: http://www.ismrm.org/mri_unbound/simulated.htm
DOI: 10.5281/zenodo.58627
title: Denoising Autoencoders For Phenotype Stratification (Daps) Sample Trained Patient Data

description: Data for: https://github.com/greenelab/DAPS
DOI: 10.5281/zenodo.58748
title: Ursus Arctos Microsatellite Fragment Sizing, Chilkoot Valley, Alaska, Usa 2014

description: Microsatellite genoytping fragment sizing for 460 non-invasively collected saliva and fecal samples from brown bears (<em>Ursus arctos</em>) in northern Southeast Alaska, USA during summer and fall 2014.<br>
DOI: 10.5281/zenodo.58768
title: Impetus: New Cloudy'S Radiative Tables For Accretion Onto A Galaxy Black Hole. Calculations I. Table 2.

description: This is a .ZIP file, which contains the results of Calculations I. The main directory contains sub-directories with ascii files. Each column is properly described in the article.
description: This is version 1.0 of the Table, computed with Cloudy v. 13.03
DOI: 10.5281/zenodo.58778
title: Game Pecahan

description: Game
DOI: 10.5281/zenodo.58792
title: Statistical Analysis Of The Effect Of Equations On Citations

description: Statistical analysis of a data set of number of equations and number of citations of papers published in volumes 94 and 104 of the journal <em>Physical Review Letters</em>. This analysis is referred to by the paper <strong>Equation-dense papers receive fewer citations—in physics as well as biology</strong> in the <em>New Journal of Physics </em>(vol. 18, article 118003) by Andrew D Higginson and Tim W Fawcett.  http://iopscience.iop.org/article/10.1088/1367-2630/18/11/118003
DOI: 10.5281/zenodo.58839
title: Facts Extracted From Eupmc Oa Publications 2016-06-01 - 2016-06-05

description: Named entities were extracted from the fulltext Open Access articles in EuropePMC by loading the text into ElasticSearch and querying with the content of the ContentMine dictionaries (http://github.com/ContentMine/dictionaries)
DOI: 10.5281/zenodo.836922
title: Moma Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5281/zenodo.836923
title: Moma Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.22021/bbldntz201710
title: The Linked Open British National Bibliography – Books. 1950/2017-10 – N-Triples
DOI: 10.22021/bbldrdfz201710
title: The Linked Open British National Bibliography – Books. 1950/2017-10 – RDF/XML
DOI: 10.22021/bcldntz201710
title: The Linked Open British National Bibliography – Forthcoming Books. 2017-10 – N-Triples
DOI: 10.22021/bcldrdfz201707
title: The Linked Open British National Bibliography – Forthcoming Books. 2017-07 – RDF/XML
DOI: 10.22021/bcldrdfz201710
title: The Linked Open British National Bibliography – Forthcoming Books. 2017-10 – RDF/XML
DOI: 10.22021/bsldntz201710
title: The Linked Open British National Bibliography – Serials. 1950/2017-10 – N-Triples
DOI: 10.22021/bsldrdfz201710
title: The Linked Open British National Bibliography – Serials. 1950/2017-10 – RDF/XML
DOI: 10.5281/zenodo.30483
title: Lu_Example_Float#Cpus:12#Gpus:2.28.Paje.Trace

description: File: lu_example_float#CPUs:12#GPUs:2.28.paje.trace
DOI: 10.5281/zenodo.30484
title: Lu_Example_Float#Cpus:11#Gpus:2.29.Paje.Trace

description: File: lu_example_float#CPUs:11#GPUs:2.29.paje.trace
DOI: 10.5281/zenodo.30485
title: Lu_Example_Float#Cpus:32#Gpus:2.29.Paje.Trace

description: File: lu_example_float#CPUs:32#GPUs:2.29.paje.trace
DOI: 10.5281/zenodo.30487
title: Lu_Example_Float#Cpus:6#Gpus:2.14.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:2.14.paje.trace
DOI: 10.5281/zenodo.30488
title: Lu_Example_Float#Cpus:1#Gpus:2.14.Paje.Trace

description: File: lu_example_float#CPUs:1#GPUs:2.14.paje.trace
DOI: 10.5281/zenodo.30489
title: Lu_Example_Float#Cpus:6#Gpus:1.15.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:1.15.paje.trace
DOI: 10.5281/zenodo.30490
title: Lu_Example_Float#Cpus:6#Gpus:2.31.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:2.31.paje.trace
DOI: 10.5281/zenodo.30491
title: Lu_Example_Float#Cpus:14#Gpus:2.23.Paje.Trace

description: File: lu_example_float#CPUs:14#GPUs:2.23.paje.trace
DOI: 10.5281/zenodo.30492
title: Lu_Example_Float#Cpus:0#Gpus:2.12.Paje.Trace

description: File: lu_example_float#CPUs:0#GPUs:2.12.paje.trace
DOI: 10.5281/zenodo.30493
title: Lu_Example_Float#Cpus:0#Gpus:2.20.Paje.Trace

description: File: lu_example_float#CPUs:0#GPUs:2.20.paje.trace
DOI: 10.5281/zenodo.47707
title: Monroe_Profiling_Mobile_Broadband_Coverage

description: Dataset for TMA'16 paper Profiling Mobile Broadband Coverage. 

The dataset consists of grid blocks traversed by the train routes me measure in Norway, more specifically Oslo-Stavanger, Oslo-Voss, Oslo-Trondheim, Trondheim- Bodø.

For each of the grids and for each run on a route, we measure the Radio Access Technology an end-user could access while in the train for two different Mobile Broadband providers, namely Telenor and Netcom (Telia) in Norway. The dataset csv files we upload here are organized per operator and per route. 

Each row in one file consists of:

grid_id = unique ID of the grid block that delimits a portion of the route

lat1 = latitude of the grid      

lon1 = longitude of the grid   

avg_speed = average speed of the train when traversing the grid block       

start = timestamp of when the train enters the grid

end = timestamp when the train exits the grid     

ccu_desig = unique ID of the NSB passenger train       

total = total number of datapoints within the grid block   

4G  = number of points within the grid where the RAT is 4G    

3G = number of points within the grid where the RAT is 3G    

2G = number of points within the grid where the RAT is 2G     

nos = number of points within the grid where the RAT is No Service     

4gd = 4G distribution in the grid block   

3gd = 3G distribution in the grid block     

2gd = 2G distribution in the grid block

nosd  = No Service distribution in the grid block  

run_id  = the ID of the run

static  = 1 if the train stops at any point in the grid, 0 is the train doesn't stop in the grid

mobile  = 1 if the train is mobile, 0 is it is not

full_mobile = 1 if the train is moving at all times, 0 if it is not    

tunnel  = 1 if the train traverses a tunnel within the grid block, 0 if there are no tunnels

full_tunnel =  1 if the train is in  train the whole time it is in the respective grid block    

way = route direction   

route = train route