cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/wp00300
title: Western Sahara 100m Births

description: DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). 
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated births per grid square 
MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - BEN2010adjustedBirths.tif = Benin (BEN) births count map for 2010 adjusted to match UN national estimates on numbers of live births. 
DATE OF PRODUCTION: May 2015
DOI: 10.5258/soton/wp00304
title: Zambia 100m Births

description: DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). 
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated births per grid square 
MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - BEN2010adjustedBirths.tif = Benin (BEN) births count map for 2010 adjusted to match UN national estimates on numbers of live births. 
DATE OF PRODUCTION: May 2014
DOI: 10.5281/zenodo.582662
title: Multiple Fingers – One Gestalt

description: The Gestalt theory of perception offered principles by which distributed visual sensations are combined into a structured experience (“Gestalt”). We demonstrate conditions whereby haptic sensations at two fingertips are integrated in the perception of a single object. When virtual bumps were presented simultaneously to the right hand’s thumb and index finger during lateral arm movements, participants reported perceiving a single bump. A discrimination task measured the bump’s perceived location and perceptual reliability (assessed by differential thresholds) for four finger configurations, which varied in their adherence to the Gestalt principles of proximity (small vs. large finger separation) and synchrony (virtual spring to link movements of the two fingers vs. no spring). According to models of integration, reliability should increase with the degree to which multi-finger cues integrate into a unified percept. Differential thresholds were smaller in the virtual-spring condition (synchrony) than when fingers were unlinked. Additionally, in the condition with reduced synchrony, greater proximity led to lower differential thresholds. Thus, with greater adherence to Gestalt principles, thresholds approached values predicted for optimal integration. We conclude that the Gestalt principles of synchrony and proximity apply to haptic perception of surface properties and that these principles can interact to promote multi-finger integration.

<strong>Lezkan</strong>, A. Manuel, S.G. Colgate, J.E., Klatzky, R.L,. Peshkin, M.A. & <strong>Drewing</strong>, K. (2016). Multiple Fingers – One Gestalt. <em>IEEE Transactions on Haptics,</em> <em>9</em>(2), 255-266.

The Zip file contains all data relative to the publication.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.599894
title: Multiple Fingers – One Gestalt

description: The Gestalt theory of perception offered principles by which distributed visual sensations are combined into a structured experience (“Gestalt”). We demonstrate conditions whereby haptic sensations at two fingertips are integrated in the perception of a single object. When virtual bumps were presented simultaneously to the right hand’s thumb and index finger during lateral arm movements, participants reported perceiving a single bump. A discrimination task measured the bump’s perceived location and perceptual reliability (assessed by differential thresholds) for four finger configurations, which varied in their adherence to the Gestalt principles of proximity (small vs. large finger separation) and synchrony (virtual spring to link movements of the two fingers vs. no spring). According to models of integration, reliability should increase with the degree to which multi-finger cues integrate into a unified percept. Differential thresholds were smaller in the virtual-spring condition (synchrony) than when fingers were unlinked. Additionally, in the condition with reduced synchrony, greater proximity led to lower differential thresholds. Thus, with greater adherence to Gestalt principles, thresholds approached values predicted for optimal integration. We conclude that the Gestalt principles of synchrony and proximity apply to haptic perception of surface properties and that these principles can interact to promote multi-finger integration.

<strong>Lezkan</strong>, A. Manuel, S.G. Colgate, J.E., Klatzky, R.L,. Peshkin, M.A. & <strong>Drewing</strong>, K. (2016). Multiple Fingers – One Gestalt. <em>IEEE Transactions on Haptics,</em> <em>9</em>(2), 255-266.

The Zip file contains all data relative to the publication.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.821653
title: Protein Structure Initiative - Targettrack 2000-2017 - All Data Files

description: <strong>Protein Structure Initiative - TargetTrack protein target registration database (795 MB, gzipped tarball)</strong>

The Protein Structure Initiative was a high-throughput structural genomics effort from 2000-2015 focused on developing technologies to enable greater coverage of protein structure space. Over its 15-year tenure, over 100 investigators at 35 centers (see ContributingCenters.xls) declared over 350,000 protein sequences (targets) that they would study using state-of-the-art protein production and structure determination methods.  Many of these targets were selected through bioinformatics-based methods to serve as representatives for sequence and structure clusters. 

From 2003-2010, these selected sequences and some basic identifying metadata were kept in a database called TargetDB, created at the Research Collaboratory for Structural Bioinformatics at Rutgers University. In 2008, a second database named PepcDB was created to track detailed experimental trial history and the standard protocols used by the PSI centers. These two databases became the principal structural genomics target databases, and were rolled into the <strong>PSI Structural Biology Knowledgebase</strong> in 2008. 

As part of the third phase of the PSI, TargetDB and PepcDB were merged into a single resource, <strong>TargetTrack</strong>, to facilitate one-stop access to the data as well as expanding the schema to include new required data items.  Participating centers deposited the latest status on their active targets and the protocols that were used (along with any deviations) on a weekly or quarterly basis.  TargetTrack provided a variety of pre-computed data downloads on a weekly basis as well. 

In July 2017, the Structural Biology Knowledgebase ceased operations.  The files provided in this tarball represent the final datafiles generated by TargetTrack (timestamp June 30, 2017).  <strong>Please read the README included in this dataset for descriptions of each file. </strong>

<strong>The entire TargetTrack datafile in XML format can be found in /TargetTrack XML files/tt.xml.gz</strong>

Key documentation can be found in the /Documentation folder.<br>
TargetTrack schema: targetTrack-v1.4.1.pdf<br>
Spreadsheet with TargetTrack enumerations for relevant fields: targetTrackEnumeratedDataItems-v1.4.1-1.xls<br>
Image depicted the XML data schema: targetTrack-v1.4.1.jpg

These files are 868 MB in total size, uncompressed. <br>
To open the tarball, use the command 'tar -zxvf TargetTrack-1Jul2017.tar.gz'

-- created by the PSI Structural Biology Knowledgebase, July 5, 2017
DOI: 10.5517/ccdc.csd.cc1pcnj7
title: CCDC 1560339: Experimental Crystal Structure Determination

description: Related Article: ersin inkaya|2017|CSD Communication|||
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: 10.5258/soton/wp00307
title: Zimbabwe 100m Births

description: DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/).  
REGION: Africa 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated births per grid square 
MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - BEN2010adjustedBirths.tif = Benin (BEN) births count map for 2010 adjusted to match UN national estimates on numbers of live births. 
DATE OF PRODUCTION: May 2014
DOI: 10.5281/zenodo.582661
title: Going Against The Grain – Texture Orientation Affects Direction Of Exploratory Movement

description: In haptic perception sensory signals depend on how we actively move our hands. For textures with periodically repeating grooves, movement direction can determine temporal cues to spatial frequency. Moving in line with texture orientation does not generate temporal cues. In contrast, moving orthog-onally to texture orientation maximizes the temporal frequency of stimulation, and thus optimizes temporal cues. Participants performed a spatial frequency discrimination task between stimuli of two types. The first type showed the de-scribed relationship between movement direction and temporal cues, the second stimulus type did not. We expected that when temporal cues can be optimized by moving in a certain direction, movements will be adjusted to this direction. However, movement adjustments were assumed to be based on sensory infor-mation, which accumulates over the exploration process. We analyzed 3 indi-vidual segments of the exploration process. As expected, participants only ad-justed movement directions in the final exploration segment and only for the stimulus type, in which movement direction influenced temporal cues. We con-clude that sensory signals on the texture orientation are used online during ex-ploration in order to adjust subsequent movements. Once sufficient sensory evi-dence on the texture orientation was accumulated, movements were directed to optimize temporal cues.

<strong>Lezkan</strong>, A. & <strong>Drewing</strong>, K. (2016). Going against the grain – Texture orientation affects direction of exploratory movement, part I. <em>Haptics: Perception, Devices, Control, and Applications</em> (pp. 430-440).

The Zip file contains all data relative to the publication.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.604685
title: Predictive And Sensory Signals Systematically Lower Peak Forces In The Exploration Of Softer Objects

description: An object’s softness is stereotypically judged by pressure movements indenting the surface [1]. In exploration without movement constraints, participants repeat such indentation movements. We investigated how people modulate executed peak forces for different indentations depending on stimulus softness. Participants performed a 2AFC discrimination task for stimulus pairs from one of 4 softness categories. We assumed that movement control at different exploration moments is based on variations in the predictive and sensory signals available. We manipulated availability of predictive signals on softness category, by presenting either stimuli of the same category in a blocked fashion (high predictability) or by randomly mixing stimuli from different categories (low predictability). Effects of sensory signals were examined by contrasting first and last indentation, as sensory signals are hardly available when initiating exploration but gathered during exploration. The results show that participants systematically apply lower forces when sensory or predictive signals indicate softer objects as compared to harder objects. We conclude that softness exploration can be considered as a sensorimotor control loop, in which predictive and sensory signals determine movement control. Further, the results indicate a high importance of predictive processes throughout the entire exploration, as effects of predictive signals maintain in the last indentation.

<strong>Lezkan</strong>, A. & <strong>Drewing</strong>, K. (2015). Predictive and sensory signals systematically lower peak forces in the exploration of softer objects. World Haptics Conference, 2015 IEEE (pp. 69-74). IEEE.

The Zip file contains all data relative to the publication. For each participant code and each session exists a *txt and

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.582658
title: Unequal - But Fair? Weights In The Serial Integration Of Haptic Texture Information

description: The sense of touch is characterized by its sequential nature. In texture perception, enhanced spatio-temporal extension of exploration leads to better discrimination performance due to combination of repetitive information. We have previously shown that the gains from additional exploration are smaller than the Maximum Likelihood Estimation (MLE) model of an ideal observer would assume. Here we test if this suboptimal integration can be explained by unequal weighting of information. Participants stroke 2 to 5 times across a virtual grating and judged the ridge period in a 2IFC task. We presented slightly discrepant period information in one of the strokes in the standard grating. Results show linearly decreasing weights of this information with spatio-temporal distance (number of intervening strokes) to the comparison grating. For each exploration extension (number of strokes) the stroke with the highest number of intervening strokes to the comparison was completely disregarded. The results are consistent with the notion that memory limitations are responsible for the unequal weights. This study raises the question if models of optimal integration should include memory decay as an additional source of variance and thus not expect equal weights.

<strong>Lezkan</strong>, A. & <strong>Drewing</strong>, K. (2014). Unequal - but fair? Weights in the serial integration of haptic texture information. <em>Haptics: Neuroscience, Devices, Modeling, and Applications</em> (pp. 386-392). Springer: Heidelberg.

 

The Zip file contains all data relative to the publication. The data of each participant is contained in a separate file.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.600700
title: Going Against The Grain – Texture Orientation Affects Direction Of Exploratory Movement

description: In haptic perception sensory signals depend on how we actively move our hands. For textures with periodically repeating grooves, movement direction can determine temporal cues to spatial frequency. Moving in line with texture orientation does not generate temporal cues. In contrast, moving orthog-onally to texture orientation maximizes the temporal frequency of stimulation, and thus optimizes temporal cues. Participants performed a spatial frequency discrimination task between stimuli of two types. The first type showed the de-scribed relationship between movement direction and temporal cues, the second stimulus type did not. We expected that when temporal cues can be optimized by moving in a certain direction, movements will be adjusted to this direction. However, movement adjustments were assumed to be based on sensory infor-mation, which accumulates over the exploration process. We analyzed 3 indi-vidual segments of the exploration process. As expected, participants only ad-justed movement directions in the final exploration segment and only for the stimulus type, in which movement direction influenced temporal cues. We con-clude that sensory signals on the texture orientation are used online during ex-ploration in order to adjust subsequent movements. Once sufficient sensory evi-dence on the texture orientation was accumulated, movements were directed to optimize temporal cues.

<strong>Lezkan</strong>, A. & <strong>Drewing</strong>, K. (2016). Going against the grain – Texture orientation affects direction of exploratory movement, part I. <em>Haptics: Perception, Devices, Control, and Applications</em> (pp. 430-440).

The Zip file contains all data relative to the publication.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.602286
title: Unequal - But Fair? Weights In The Serial Integration Of Haptic Texture Information

description: The sense of touch is characterized by its sequential nature. In texture perception, enhanced spatio-temporal extension of exploration leads to better discrimination performance due to combination of repetitive information. We have previously shown that the gains from additional exploration are smaller than the Maximum Likelihood Estimation (MLE) model of an ideal observer would assume. Here we test if this suboptimal integration can be explained by unequal weighting of information. Participants stroke 2 to 5 times across a virtual grating and judged the ridge period in a 2IFC task. We presented slightly discrepant period information in one of the strokes in the standard grating. Results show linearly decreasing weights of this information with spatio-temporal distance (number of intervening strokes) to the comparison grating. For each exploration extension (number of strokes) the stroke with the highest number of intervening strokes to the comparison was completely disregarded. The results are consistent with the notion that memory limitations are responsible for the unequal weights. This study raises the question if models of optimal integration should include memory decay as an additional source of variance and thus not expect equal weights.

<strong>Lezkan</strong>, A. & <strong>Drewing</strong>, K. (2014). Unequal - but fair? Weights in the serial integration of haptic texture information. <em>Haptics: Neuroscience, Devices, Modeling, and Applications</em> (pp. 386-392). Springer: Heidelberg.

 

The Zip file contains all data relative to the publication. The data of each participant is contained in a separate file.

A description of the variables is contained in the file VARIABLE_CODES.txt
DOI: 10.5281/zenodo.821648
title: Protein Structure Initiative Publications, 2000-2016

description: These files contain the full list of the 2313 publications and book chapters written as part of the Protein Structure Initiative, from 2000-2016.  This data was collected from PubMed and by manual entry by the PSI Structural Biology Knowledgebase's Publication Portal, managed by Wladek Minor at University of Virginia.  These files were created at the end of the PSI project on June 30, 2017.

The references are provided as lists in two formats:


	in CSV (comma-separated variables) format that can be read in Excel or other spreadsheet application, or
	an Endnote Library Import file (store-endnote-pubs).  To import this library into Endnote, select File --&gt; Import... and then under Options, select the Import Option "Endnote Library Import".  Then this text file will be processed and loaded into the library.


--created by the Structural Biology Knowledgebase, July 5, 2017.  (sbkb.org)
DOI: 10.6073/pasta/1dc5b024390539f1f7dda70470d35766
title: Freshwater connectivity clusters for lakes, wetlands, and streams at the Hydrologic Unit 12 scale in the Midwest and Northeast U.S.A. – freshwater metric variables and K-means cluster assignment
DOI: 10.15468/vbjkos
title: On European Spiders Of The Nominal Families Liocranidae, Miturgidae And Zoridae (Araneae), With Descriptions Of New Taxa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wunderlich, Joerg (2011): On European Spiders Of The Nominal Families Liocranidae, Miturgidae And Zoridae (Araneae), With Descriptions Of New Taxa. Beitr. Araneol. 6 (1): 108-120, DOI: 10.5281/zenodo.823210
DOI: 10.5281/zenodo.821647
title: Protein Structure Initiative Publications, 2000-2016

description: These files contain the full list of the 2313 publications and book chapters written as part of the Protein Structure Initiative, from 2000-2016.  This data was collected from PubMed and by manual entry by the PSI Structural Biology Knowledgebase's Publication Portal, managed by Wladek Minor at University of Virginia.  These files were created at the end of the PSI project on June 30, 2017.

The references are provided as lists in two formats:


	in CSV (comma-separated variables) format that can be read in Excel or other spreadsheet application, or
	an Endnote Library Import file (store-endnote-pubs).  To import this library into Endnote, select File --&gt; Import... and then under Options, select the Import Option "Endnote Library Import".  Then this text file will be processed and loaded into the library.


--created by the Structural Biology Knowledgebase, July 5, 2017.  (sbkb.org)
DOI: 10.5258/soton/wp00198
title: Nigeria 1km Contraceptive Use

description: DATASET: version 1.0 estimates of the proportion of women aged 15-49 per grid square that were using modern contraceptive methods in 2013; the data series is comprised of two datasets, a) predicted proportion of female contraceptive use (NGA_contraception_F.tif), and b) related uncertainty map (NGA_contraception_interdecile.tif). 
REGION: Africa 
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Dataset a: Proportion of women aged 15-49 who were using modern contraceptive methods (median value); dataset b: Interdecile range - the difference between the first and the ninth deciles (uncertainty dataset). 
MAPPING APPROACH: Bayesian geostatistical modelling methods in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on contraceptive use, from the DHS program, circa 2013. 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - NGA_contraception_F.tif = Nigeria (NGA) female (F) contraception estimates. 
DATE OF PRODUCTION: March 2017 
CITATION: Bosco, C.; Alegana, V.; Bird, T.; Pezzulo, C.; Bengtsson, L.; Sorichetta, A.; Steele, J.; Hornby, G.; Ruktanonchai, C.; Ruktanonchai, N.; Wetter, E.; Tatem, A. J. (2017): Exploring the high-resolution mapping of gender disaggregated development indicators. Journal of the Royal Society Interface, 14(129). DOI: 10.1098/rsif.2016.0825.
DOI: 10.17632/t79fx4nmxx.1
title: MPIMP dataset

description: GC-MS metabolic profiling of the alga Chlorella ohadii performed in the MPIMP, Golm.