cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1195058
title: Imunipen Image Data Set For Writer Identification (N=208) - Vectorial Handwriting Converted To Usable Images

description: <br>
==============<br>
Terms of Usage<br>
==============

The ImUnipen data set is intended for non-commercial, scientific use,<br>
and is distributed under auspices of the Unipen Foundation.

Please always refer to the following paper in IEEE PAMI when using<br>
the ImUnipen data set:

 Bulacu, M.; Schomaker, L.<br>
 Text-Independent Writer Identification and Verification<br>
 Using Textural and Allographic Features<br>
 Pattern Analysis and Machine Intelligence, IEEE Transactions on<br>
 Volume 29, Issue 4, April 2007 Page(s):701 - 717

The ImUnipen data set is derived from the Unipen (unipen.org)<br>
data set of on-line (i.e., vectorial, xy) handwriting.<br>
The xy-coordinates and a line-generator algorithm are used<br>
to generate a raster image, as if the data were optically scanned.

Contents: for 208 writers, there are two PNG images per writer of<br>
an artificially constructed table of naturally written words (49MByte).<br>
These words are pasted onto a white page. For systematics reasons,<br>
we call such a page a Paragraph, see below.

The file names are organized as (example):

   Writ990221.Doc01.Par00.png<br>
   Writ990221.Doc01.Par01.png

   meaning: writer number 990221, document 01 (there exists only Doc01)<br>
and the image with artificial "paragraph" of isolated words "Par00"<br>
and "Par01".

The Par00 and Pa01 images are typically used as the query<br>
and best match in a leave-one-out setting for writer identification.<br>
For instance, Par00 is the query, and Par01 is added to the total set<br>
of all other images as the attractor for an identification search.

For these experiments, word labels are not given in this data set,<br>
on purpose, as the goal is to test recognition-free writer identification<br>
methods.

For a description of the regular<br>
Unipen data set, please visit http://unipen.org

Lambert Schomaker constructed this set in 2005
description: http://www.ai.rug.nl/~lambert/unipen/ImUnipen/
description: {"references": ["Bulacu, M.; Schomaker, L. Text-Independent Writer Identification and Verification  Using Textural and Allographic Features Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 4, April 2007 Page(s):701 - 717"]}
DOI: 10.5281/zenodo.1195059
title: Imunipen Image Data Set For Writer Identification (N=208) - Vectorial Handwriting Converted To Usable Images

description: <br>
==============<br>
Terms of Usage<br>
==============

The ImUnipen data set is intended for non-commercial, scientific use,<br>
and is distributed under auspices of the Unipen Foundation.

Please always refer to the following paper in IEEE PAMI when using<br>
the ImUnipen data set:

 Bulacu, M.; Schomaker, L.<br>
 Text-Independent Writer Identification and Verification<br>
 Using Textural and Allographic Features<br>
 Pattern Analysis and Machine Intelligence, IEEE Transactions on<br>
 Volume 29, Issue 4, April 2007 Page(s):701 - 717

The ImUnipen data set is derived from the Unipen (unipen.org)<br>
data set of on-line (i.e., vectorial, xy) handwriting.<br>
The xy-coordinates and a line-generator algorithm are used<br>
to generate a raster image, as if the data were optically scanned.

Contents: for 208 writers, there are two PNG images per writer of<br>
an artificially constructed table of naturally written words (49MByte).<br>
These words are pasted onto a white page. For systematics reasons,<br>
we call such a page a Paragraph, see below.

The file names are organized as (example):

   Writ990221.Doc01.Par00.png<br>
   Writ990221.Doc01.Par01.png

   meaning: writer number 990221, document 01 (there exists only Doc01)<br>
and the image with artificial "paragraph" of isolated words "Par00"<br>
and "Par01".

The Par00 and Pa01 images are typically used as the query<br>
and best match in a leave-one-out setting for writer identification.<br>
For instance, Par00 is the query, and Par01 is added to the total set<br>
of all other images as the attractor for an identification search.

For these experiments, word labels are not given in this data set,<br>
on purpose, as the goal is to test recognition-free writer identification<br>
methods.

For a description of the regular<br>
Unipen data set, please visit http://unipen.org

Lambert Schomaker constructed this set in 2005
description: http://www.ai.rug.nl/~lambert/unipen/ImUnipen/
description: {"references": ["Bulacu, M.; Schomaker, L. Text-Independent Writer Identification and Verification  Using Textural and Allographic Features Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 4, April 2007 Page(s):701 - 717"]}
DOI: 10.5281/zenodo.1195506
title: Raw

description: This is the system which uses raw speech .
DOI: 10.5281/zenodo.1195668
title: Ws-Cr

description: DIHARD track1 ws-cr system (no R)
DOI: 10.5281/zenodo.1195672
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.5281/zenodo.1195510
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.5281/zenodo.1195675
title: Raw

description: This is the system which uses raw speech .
DOI: 10.5281/zenodo.1195511
title: Baseline_Dev

description: BASELINE_dev 5
DOI: 10.5281/zenodo.1195512
title: Baseline_Dev

description: BASELINE_dev 5
DOI: 10.5281/zenodo.1195680
title: Front-End System1

description: This is a system which uses deep-learning based front-end techniques.
DOI: 10.5281/zenodo.1195683
title: Front-End System1

description: This is a system which uses deep-learning based front-end techniques.
DOI: 10.5281/zenodo.1195684
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.5281/zenodo.1195685
title: Raw

description: This is the system which uses raw speech .
DOI: 10.5281/zenodo.1195518
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.4225/08/5aa551a3c3bbd
title: Parkes observations for project P892 semester 2017OCTS_BPSR_37

description: SUPERBx is an extension to the SUPERB survey which looks at the highest Galactic latitudes in a search for fast radio bursts (FRBs). We will focus our efforts at high Galactic latitudes where our previous work has shown FRB detectability to be as much as 3 times higher than in the plane. SUPERBx uses optimised GPU codes to search for pulsars and fast radio bursts (FRBs), making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. The FRBs discovered (we have already discovered five FRBs in this project) will have much more associated information than all previous detections. Firstly our discovery lag is ~1 second, rather than months/years. The Parkes observations will be shadowed by other radio telescopes (in particular the refurbished Molonglo which has now reached a level of performance where it has independently discovered 3 FRBs) to allow localisation of the discovered FRBs, and a host of optical and high-energy telescopes will then be triggered as appropriate. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.21227/0x09-mg30
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.5281/zenodo.1195693
title: Enumeration of Williamson sequences divisible by 2 or 3

description: These files contain an enumeration of all inequivalent Williamson sequences of orders divisible by 2 or 3 and up to 70 as defined in the paper "Applying Computer Algebra Systems with SAT Solvers to the Williamson Conjecture" by Bright, Kotsireas, and Ganesh.

Every line in each file contains exactly one Williamson sequence, with spaces separating the members A, B, C, and D of the Williamson sequences. The sequence entries are encoded using the characters + for 1 and - for −1.

A table with the sequence counts in each file is also available.
DOI: 10.5281/zenodo.1195694
title: Short Lifetime Components In The Relaxation Of Boron Acceptors In Silicon

description: The data is that described in 'Short lifetime components in the relaxation of boron acceptors in silicon’, K. Saeedi et al, Physical Review B (2018).

The data consists of the probe transmission as a function of time delay in each case. The different experiments are labelled according to the figure in which they occur in the main paper. The data are raw and have not been smoothed or otherwise processed.

The data is in an Origin file format. Please contact the author for data in other formats.
DOI: 10.5281/zenodo.1195695
title: Short Lifetime Components In The Relaxation Of Boron Acceptors In Silicon

description: The data is that described in 'Short lifetime components in the relaxation of boron acceptors in silicon’, K. Saeedi et al, Physical Review B (2018).

The data consists of the probe transmission as a function of time delay in each case. The different experiments are labelled according to the figure in which they occur in the main paper. The data are raw and have not been smoothed or otherwise processed.

The data is in an Origin file format. Please contact the author for data in other formats.
DOI: 10.4225/08/5aa404d5a1ba1
title: Parkes observations for project P892 semester 2017OCTS_BPSR_35

description: SUPERBx is an extension to the SUPERB survey which looks at the highest Galactic latitudes in a search for fast radio bursts (FRBs). We will focus our efforts at high Galactic latitudes where our previous work has shown FRB detectability to be as much as 3 times higher than in the plane. SUPERBx uses optimised GPU codes to search for pulsars and fast radio bursts (FRBs), making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. The FRBs discovered (we have already discovered five FRBs in this project) will have much more associated information than all previous detections. Firstly our discovery lag is ~1 second, rather than months/years. The Parkes observations will be shadowed by other radio telescopes (in particular the refurbished Molonglo which has now reached a level of performance where it has independently discovered 3 FRBs) to allow localisation of the discovered FRBs, and a host of optical and high-energy telescopes will then be triggered as appropriate. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.5281/zenodo.1195509
title: Raw

description: This is the system which uses raw speech .
DOI: 10.5281/zenodo.1195526
title: Ws-Cr

description: DIHARD track1 ws-cr system (no R)
DOI: 10.7910/dvn/fw7aeo
title: Replication Data for: 252_Hydrogel_NADES
DOI: 10.5281/zenodo.1195529
title: Ws-Cr

description: DIHARD track1 ws-cr system (no R)
DOI: 10.5281/zenodo.1195712
title: System_1

description: SYSTEM_1
DOI: 10.5281/zenodo.1195534
title: System_1

description: SYSTEM_1
DOI: 10.5281/zenodo.1195535
title: System_2

description: SYSTEM_2
DOI: 10.5281/zenodo.1195536
title: System_2

description: SYSTEM_2
DOI: 10.5281/zenodo.1195713
title: Sys2

description: sys2_030818_1
DOI: 10.5281/zenodo.1195714
title: Sys2

description: sys2_030818_1
DOI: 10.5281/zenodo.1195715
title: Sys4

description: sys4_031118_1
DOI: 10.5281/zenodo.1195716
title: Sys4

description: sys4_031118_1
DOI: 10.5281/zenodo.1195540
title: Efficacy Of Inhibitor On Wild-Type Acvr1 And R206H Mutant In C2C12 Cells (By Dla)

description: There are concerns that compounds that are effective in inhibiting ALK2 by occupying its ATP-binding pocket might have reduced efficacy against mutant ALK2. That will be undesirable since the compounds should also target the mutant gain-of-function ALK2 in DIPG cells. The following experiment takes advantage of the fact that ALK2-R206H mutant confers a neofunction of being activated by Activin A (not activating towards wild-type ALK2). Therefore, using Activin A as the stimulation ligand, the effectiveness of inhibition on ALK2-R206H can be specifically determined. BMP6 which activates both wild-type ALK2 and ALK2-R206H is also included.
DOI: 10.5281/zenodo.1195541
title: Efficacy Of Inhibitor On Wild-Type Acvr1 And R206H Mutant In C2C12 Cells (By Dla)

description: There are concerns that compounds that are effective in inhibiting ALK2 by occupying its ATP-binding pocket might have reduced efficacy against mutant ALK2. That will be undesirable since the compounds should also target the mutant gain-of-function ALK2 in DIPG cells. The following experiment takes advantage of the fact that ALK2-R206H mutant confers a neofunction of being activated by Activin A (not activating towards wild-type ALK2). Therefore, using Activin A as the stimulation ligand, the effectiveness of inhibition on ALK2-R206H can be specifically determined. BMP6 which activates both wild-type ALK2 and ALK2-R206H is also included.
DOI: 10.5281/zenodo.1195725
title: Baseline_Dev

description: BASELINE_dev 6
DOI: 10.5281/zenodo.1195545
title: Anti-Phospho-Smad1/5 Antibody Can Recognize Formaldehyde-Fixed Epitope

description: Determining whether anti-phospho-SMAD1-5 and anti-phospho-SMAD2 antibodies can recognize formaldehyde-fixed epitopes
DOI: 10.5281/zenodo.1195546
title: Anti-Phospho-Smad1/5 Antibody Can Recognize Formaldehyde-Fixed Epitope

description: Determining whether anti-phospho-SMAD1-5 and anti-phospho-SMAD2 antibodies can recognize formaldehyde-fixed epitopes
DOI: 10.5281/zenodo.1195748
title: Ws-Crr

description: DIHARD track1 ws-cr system (with R)
DOI: 10.5281/zenodo.1195753
title: Baseline_Dev

description: BASELINE_dev 7
DOI: 10.5281/zenodo.1195756
title: System_1

description: SYSTEM_1
DOI: 10.5281/zenodo.1195757
title: Dev-S

description: dev-s 2
DOI: 10.17632/5drsgjt9c4.1
title: Data for: Identification of a conserved linear B-cell epitope in Staphylococcus aureus GapC protein

description: The GapC protein of Staphylococcus aureus is a surface protein that is highly conserved among Staphylococcus strains, and it can induce protective humoral immune responses. However, B-cell epitopes in S. aureus GapC have not been reported. In this study, we generated a monoclonal antibody (mAb2A9) targeting S. aureus GapC. Through a passive immunity test, mAb2A9 was shown to partially protect mice against S. aureus infection. We screened the motif 236PVATGSLTE243 that is recognized by mAb2A9 using a phage-display system. The motif sequence exactly matched amino acids 236–243 of the S. aureus GapC protein. Then, we identified the key amino acids in the motif using site-directed mutagenesis. Site-directed mutagenesis revealed that residues P236, G240, L242, and T243 formed the core of the 236PVATGSLT243 motif. In addition, this epitope was proven to be located on the surface of S. aureus, and it induced a protective humoral immune response against S. aureus infection in immunized mice. Overall, our results characterized a conserved B-cell epitope, which will be an attractive target for designing effective epitope-based vaccines against S. aureus infection.
DOI: 10.5281/zenodo.1195780
title: Observed Vlf/Lf Data For The 2017 Great American Solar Eclipse

description: Observed VLF/LF data for the 2017 Great American Solar Eclipse
DOI: 10.5281/zenodo.1195792
title: Functional Plasticity In Vertebrate Scavenger Assemblages In The Presence Of Introduced Carnivores

description: Data for manuscript focusing on the consumption of varying amounts of carrion by coastal scavengers in Queensland, Australia.
DOI: 10.5281/zenodo.1195793
title: Functional Plasticity In Vertebrate Scavenger Assemblages In The Presence Of Introduced Carnivores

description: Data for manuscript focusing on the consumption of varying amounts of carrion by coastal scavengers in Queensland, Australia.
DOI: 10.5281/zenodo.1195853
title: Ibm-Crosspad On-Line Handwriting Database In Stk Format - Donated Exclusively To University Of Groningen

description: This data was donated to AI Dept. RuG by IBM in 2007

It contains *.STK files (ASCII) containing on-line<br>
handwriting pen-tip coordinates (x,y). The format<br>
can be converted to unipen.

For internal use at RuG only.

<br>
Lambert Schomaker
DOI: 10.5281/zenodo.1195852
title: Ibm-Crosspad On-Line Handwriting Database In Stk Format - Donated Exclusively To University Of Groningen

description: This data was donated to AI Dept. RuG by IBM in 2007

It contains *.STK files (ASCII) containing on-line<br>
handwriting pen-tip coordinates (x,y). The format<br>
can be converted to unipen.

For internal use at RuG only.

<br>
Lambert Schomaker
DOI: 10.5281/zenodo.1195856
title: Raw Images (Photographs) Of Urban Text Scenes For Camera-Based Thai Text Recognition

description: Raw image collection of city scenes in Thailand with text content.<br>
Text is photographed from diffeent angles. Also morning and evening<br>
photographs were taken in order to capture different lighting<br>
conditions. The material, 309 images, was photographed in 2013 by<br>
Bowornrat Sriman and volunteers.

Example EXIF:<br>
JPEG image data, Exif standard: [TIFF image data, little-endian,<br>
direntries=13, height=2448, manufacturer=SAMSUNG, model=GT-I9300,<br>
orientation=upper-right, xresolution=220, yresolution=228,<br>
resolutionunit=2, software=I9300XXEMA2, datetime=2013:03:14 18:17:49,<br>
GPS-Data, width=3264], baseline, precision 8, 3264x2448, frames 3

The images are not labeled. The orientation (landscape/portrait) is<br>
not corrected yet. This material was used in preparation of the publication:

Sriman, B.  & Schomaker, L. (2015).<br>
Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT,<br>
Proceedings of the International Conference on Pattern Recognition Applications and<br>
Methods: ICPRAM 2015.  De Marsico, M., Figueiredo, M.  & Fred, A.<br>
(Eds.).  Lisbon, Portugal: SciTePress, Vol.  1, p.  304-311 8 p.

Please cite this publication when using these data.
description: {"references": ["Sriman, B.  & Schomaker, L. (2015). Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT, Proceedings of the International Conference on Pattern Recognition Applications and Methods: ICPRAM 2015.  De Marsico, M., Figueiredo, M.  & Fred, A.  (Eds.).  Lisbon, Portugal: SciTePress, Vol.  1, p.  304-311 8 p."]}
DOI: 10.5281/zenodo.1195857
title: Raw Images (Photographs) Of Urban Text Scenes For Camera-Based Thai Text Recognition

description: Raw image collection of city scenes in Thailand with text content.<br>
Text is photographed from diffeent angles. Also morning and evening<br>
photographs were taken in order to capture different lighting<br>
conditions. The material, 309 images, was photographed in 2013 by<br>
Bowornrat Sriman and volunteers.

Example EXIF:<br>
JPEG image data, Exif standard: [TIFF image data, little-endian,<br>
direntries=13, height=2448, manufacturer=SAMSUNG, model=GT-I9300,<br>
orientation=upper-right, xresolution=220, yresolution=228,<br>
resolutionunit=2, software=I9300XXEMA2, datetime=2013:03:14 18:17:49,<br>
GPS-Data, width=3264], baseline, precision 8, 3264x2448, frames 3

The images are not labeled. The orientation (landscape/portrait) is<br>
not corrected yet. This material was used in preparation of the publication:

Sriman, B.  & Schomaker, L. (2015).<br>
Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT,<br>
Proceedings of the International Conference on Pattern Recognition Applications and<br>
Methods: ICPRAM 2015.  De Marsico, M., Figueiredo, M.  & Fred, A.<br>
(Eds.).  Lisbon, Portugal: SciTePress, Vol.  1, p.  304-311 8 p.

Please cite this publication when using these data.
description: {"references": ["Sriman, B.  & Schomaker, L. (2015). Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT, Proceedings of the International Conference on Pattern Recognition Applications and Methods: ICPRAM 2015.  De Marsico, M., Figueiredo, M.  & Fred, A.  (Eds.).  Lisbon, Portugal: SciTePress, Vol.  1, p.  304-311 8 p."]}
DOI: 10.15151/esrf-es-57176032
title: The London Cancer BAG comprising the the ICR, the University of Susses and the Francis Crick Institute
DOI: 10.15151/esrf-es-91732236
title: Munich Crystallography BAG
DOI: 10.14457/kmutt.the.2008.369
title: การศึกษาปัจจัยที่ส่งผลต่อความเรียบผิว ในการกลึงเหล็กกล้าชุบแข็ง SCM 415 ด้วยมีดคาร์ไบด์เคลือบ CVP /
DOI: 10.5281/zenodo.1195864
title: System_1

description: SYSTEM_1
DOI: 10.21227/y7r7-6d87
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.15151/esrf-es-91732296
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES