cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1230217
title: ICDAR'15 SMARTPHONE DOCUMENT CAPTURE  AND OCR COMPETITION (SmartDoc) - Challenge 1 (original version)

description: <strong>CHALLENGE 1: SMARTPHONE DOCUMENT CAPTURE COMPETITION</strong>

<strong>Smartphones are replacing personal scanners.</strong> They are portable, connected, powerful and affordable. They are on their way to become the new entry point in business processing applications like document archival, ID scanning, check digitization, just to name a few. In order keep our workflows streamlined, <strong>we need to make those new capture device as reliable as batch scanners</strong>.

We believe an efficient capture process should be able to:


	<em>detect and segment</em> the relevant document object during the preview phase;
	<em>assess the quality</em> of the capture conditions and help the user improve them;
	optionally, <em>trigger the capture</em> at the perfect moment;
	and <em>produce a high-quality, controlled output</em> based on the high resolution captured image.


This competition is focused on the first step of this process:<strong> </strong><strong>efficiently detect and segment document regions</strong>, as illustrated by following video showing the ideal output for the preview phase of some acquisition session: Click here to watch the video. This video shows the ideal document object detection ‎(ie the ground truth, as a red frame)‎.

For this challenge, the <strong>input</strong> consists in a set of <strong>videoclips containing a document</strong> from a predefined set, and the <strong>output</strong> should be an <strong>xml file containing the quadrilateral coordinates</strong> in which we can find the document per each frame of the video. Click here for detailed information about the dataset. 

 

<strong>Licence</strong> for the dataset of challenge 1 (page outline detection in preview frames) :

This work is licensed under a <strong>Creative Commons Attribution 4.0 International License</strong> &lt;http://creativecommons.org/licenses/by/4.0/&gt;. Author attribution should be given by citing the following conference paper: Jean-Christophe Burie, Joseph Chazalon, Mickaël Coustaty, Sébastien Eskenazi, Muhammad Muzzamil Luqman, Maroua Mehri, Nibal Nayef, Jean-Marc OGIER, Sophea Prum and Marçal Rusinol: “ICDAR2015 Competition on Smartphone Document Capture and OCR (SmartDoc)”, In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.

<strong>If you use this dataset, please send us a short email at &lt;icdar.smartdoc (at) gmail.com&gt; to tell us why it was useful to you, and whether you have results or publications we can reference on our website. Thank you!</strong>
DOI: 10.5281/zenodo.1230218
title: ICDAR'15 SMARTPHONE DOCUMENT CAPTURE  AND OCR COMPETITION (SmartDoc) - Challenge 1 (original version)

description: <strong>CHALLENGE 1: SMARTPHONE DOCUMENT CAPTURE COMPETITION</strong>

<strong>Smartphones are replacing personal scanners.</strong> They are portable, connected, powerful and affordable. They are on their way to become the new entry point in business processing applications like document archival, ID scanning, check digitization, just to name a few. In order keep our workflows streamlined, <strong>we need to make those new capture device as reliable as batch scanners</strong>.

We believe an efficient capture process should be able to:


	<em>detect and segment</em> the relevant document object during the preview phase;
	<em>assess the quality</em> of the capture conditions and help the user improve them;
	optionally, <em>trigger the capture</em> at the perfect moment;
	and <em>produce a high-quality, controlled output</em> based on the high resolution captured image.


This competition is focused on the first step of this process:<strong> </strong><strong>efficiently detect and segment document regions</strong>, as illustrated by following video showing the ideal output for the preview phase of some acquisition session: Click here to watch the video. This video shows the ideal document object detection ‎(ie the ground truth, as a red frame)‎.

For this challenge, the <strong>input</strong> consists in a set of <strong>videoclips containing a document</strong> from a predefined set, and the <strong>output</strong> should be an <strong>xml file containing the quadrilateral coordinates</strong> in which we can find the document per each frame of the video. Click here for detailed information about the dataset. 

 

<strong>Licence</strong> for the dataset of challenge 1 (page outline detection in preview frames) :

This work is licensed under a <strong>Creative Commons Attribution 4.0 International License</strong> &lt;http://creativecommons.org/licenses/by/4.0/&gt;. Author attribution should be given by citing the following conference paper: Jean-Christophe Burie, Joseph Chazalon, Mickaël Coustaty, Sébastien Eskenazi, Muhammad Muzzamil Luqman, Maroua Mehri, Nibal Nayef, Jean-Marc OGIER, Sophea Prum and Marçal Rusinol: “ICDAR2015 Competition on Smartphone Document Capture and OCR (SmartDoc)”, In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.

<strong>If you use this dataset, please send us a short email at &lt;icdar.smartdoc (at) gmail.com&gt; to tell us why it was useful to you, and whether you have results or publications we can reference on our website. Thank you!</strong>
DOI: 10.14457/kku.res.2009.215
title: นิเวศวิทยาของโปรโตซัวดินที่พบในถิ่นนาข้าวอินทรีย์ : เพื่อการตรวจสอบระบบนิเวศของดิน
DOI: 10.14457/kku.the.2007.432
title: ประสบการณ์การดูแลสุขอนามัยเจริญพันธุ์ของหญิงไทยอีสานที่พิการทางการเคลื่อนไหว
DOI: 10.14457/kku.the.2007.433
title: คุณค่าทางโภชนาการของอาหารกลางวัน และการบริโภคอาหารกลางวันของนักเรียนอนุบาลที่มีภาวะโภชนาการเดิน ในโรงเรียนอนุบาลพัฒนา อำเภอเมือง จังหวัดขอนแก่น
DOI: 10.14457/kku.the.2007.434
title: พันธุศาสตร์เซลล์ของชะนีสกุลไฮโลบาเทสในประเทศไทย
DOI: 10.14457/kku.the.2007.435
title: เซลล์พันธุศาสตร์ กายวิภาคศาสตร์ และการแสดงออกของยีน antisense ACC oxidase ในกล้วยไม้เอื้องเงิน [Dendrobium draconis Rchb.f] และมิสสิงคโปร์ [Dendrobium Miss Singapore] ดัดแปลงพันธุกรรม
DOI: 10.14457/kku.the.2007.436
title: ขั้นตอนวิธีการใช้เมตริกซ์การกระจายเพื่อจัดกลุ่มแบบฟัซซี่ที่คงทนต่อข้อมูลรบกวน
DOI: 10.14457/kku.the.2007.437
title: ความสัมพันธ์ระหว่างความพึงพอใจในงานของทีมสุขภาพ กับความพึงพอใจของผู้รับบริการในศูนย์สุขภาพชุมชน อำเภอนาเชือก จังหวัดมหาสารคาม
DOI: 10.14457/kku.the.2007.438
title: การใช้รำข้าวเหนียว [กข 6] หรือรำข้าวจ้าง [หอมมะลิ 105] ร่วมกับ อัลฟา-โทโคเฟอริว อะซิเตรท ต่อการเจริญเติบโต คุณภาพซาก และคุณภาพเนื้อของไก่เนื้อ
DOI: 10.14457/kku.the.2007.439
title: การสร้างภาพเสมือนข้อมูลพหุปัญญาเพื่อวิเคราะห์ความแตกต่างระหว่างผู้เรียน
DOI: 10.14457/kku.the.2007.440
title: ผลของการใช้บทเรียนคอมพิวเตอร์ช่วยสอนที่มีเทคนิคช่วยจำ เรื่องสำนวนไทย สำหรับนักเรียนชั้นมัธยมศึกษาปีที่ 5
DOI: 10.14457/kku.the.2007.441
title: วิถีชีวิตของผู้ป่วยเบาหวานชนิดที่ 2 ของกลุ่มที่ควบคุมระดับน้ำตาลในเลือดได้ และกลุ่มที่ควบคุมระดับน้ำตาลในเลือดไม่ได้ ที่มารับบริการที่คลินิกเบาหวาน โรงพยาบาลหนองบัวลำภู
DOI: 10.14457/kku.the.2007.442
title: ผลของการเตรียมคลอดโดยให้ครอบครัวมีส่วนร่วมต่อความรู้ ความวิตกกังวล ระดับความเจ็บปวด และพฤติกรรมการเผชิญความเจ็บปวดของมารดาวัยรุ่นครรภ์แรก
DOI: 10.5281/zenodo.1227228
title: Ssd2 Mapping Tool For Chemical Contaminants Occurrence Data

description: Member States and other stakeholders can submit the chemical contaminants occurrence data using the Excel SSD2 mapping tool.

This format is structured in accordance with the SSD2 guidance and provides features that support manual data entry.<br>
Please read the instructions on how to use the tool, before using it.

We recommend using the dynamic version of the tool ZOO_FACT_CONTAMINANTS_DYN.xls

Currently the tool doesn't contain the column sampAnId. If you want to give feedback on that, please use the email below.
description: data.collection@efsa.europa.eu
DOI: 10.14457/kku.the.2007.443
title: ส่วนประสมการตลาดผักในเขตเทศบาลนครขอนแก่น
DOI: 10.25549/chs-m14975
title: Four Mojave Indian children standing in front of a small dwelling with a thatched roof, near Yuma, ca.1900

description: Photograph of 4 Mojave Indian children standing in front of a small dwelling with a thatched roof, near Yuma, ca.1900. The 2 little boys are wearing overalls, the 2 little girls are both wearing blankets or large shawls reaching to the ground over their shoulders, and long dresses. A stove pipe sticks out of the wall of the dwelling behind them. A ladder is visible behind the dwelling at right.
DOI: 10.14457/kku.the.2007.444
title: อิทธิพลของชนิดปุ๋ยต่อคุณสมบัติบางประการของดิน การเจริญเติบโตและผลผลิตข้าว
DOI: 10.5281/zenodo.1208656
title: Fire Weather Index - Era-Interim

description: The Fire Weather Index (FWI) is a numeric rating of fire intensity, dependent on weather conditions. This is a good indicator of fire danger because it contains both a component of fuel availability (drought conditions) and a measure of ease of spread.

This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that  fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, Vitolo et al. 2018).

File format: netcdf4

Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326).

Longitude range: [-180, +180]

Time span: from 1980-01-01 to 2017-12-31

Temporal resolution: 1 day

Spatial resolution: 0.7 degrees (~80 Km)

Spatial coverage: Global
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.5281/zenodo.1230381
title: Initial Spread Index - Era-Interim

description: The Initial Spread Index (ISI) is a numeric rating of the expected rate of fire spread. It combines the effects of wind and the FFMC on rate of spread without the influence of variable quantities of fuel.

This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that  fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018).

File format: netcdf4

Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326).

Longitude range: [-180, +180]

Time span: from 1980-01-01 to 2017-12-31

Temporal resolution: 1 day

Spatial resolution: 0.7 degrees (~80 Km)

Spatial coverage: Global
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.5285/6aab5ff3-1c0f-1105-e053-6c86abc043e2
title: Christchurch Harbour Macronutrients Project weekly spot sampling 2013 - 2014 and boat transects 2014.

description: As part of the NERC-funded Christchurch Harbour Macronutrients Project scientists from the University of Southampton and the University of Portsmouth sampled two rivers on the south coast of England (U.K.) and their joint estuary on a weekly basis between April 2013 and April 2014. The river sites used were the lowest Environment Agency gauging stations on the Hampshire Avon (Knapp Mill) and the River Stour (Throop), and samples were also taken from the outflow of Christchurch Harbour at low tide on the same dates. A fourth site, Iford Bridge on the River Stour, was added to the project in August 2013. In addition to this, a series of boat transects sampling at 6 stations along the salinity gradient in Christchurch Harbour were undertaken in the summer of 2014 at fortnightly intervals. Samples were analysed for dissolved inorganic and organic nutrients and a multi-sensor sonde was used to measure vertical profiles of temperature, conductivity, salinity, pH, dissolved oxygen concentration, and chlorophyll a concentration at each station.
DOI: 10.5284/1047219
title: Denisova 11 human bone fragment

description: Denisova 11 is a human bone that was found in 2014 amongst a fragmented bone assemblage from the eponymous site in the Russian Altai region. A team from the PalaeoChron project, funded by the ERC and based in Oxford University, used a technique called Zooarchaeology by Mass Spectrometry (ZooMS)  with colleagues at the University of Manchester and screened ~2400 bones to search for bone with hominin peptide markers. The work is described in Brown et al. (2016) in the journal Scientific Reports. The small fragment of Denisova 11 was the first hominin bone identified. Initially it was identified as Neanderthal based on the mtDNA sequence obtained in Leipzig at the Max Planck Institute. The nuclear genome revealed it to be a genetic hybrid.
DOI: 10.5281/zenodo.1230369
title: Fine Fuel Moisture Code - Era-Interim

description: The Fine Fuel Moisture Code (FFMC) is a numeric rating of the moisture content of litter and other cured fine fuels. This code is an indicator of the relative ease of ignition and the flammability of fine fuel.

This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that  fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018).

File format: netcdf4

Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326).

Longitude range: [-180, +180]

Time span: from 1980-01-01 to 2017-12-31

Temporal resolution: 1 day

Spatial resolution: 0.7 degrees (~80 Km)

Spatial coverage: Global
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.5281/zenodo.1230382
title: Andersen Et Al., 2018 - A Uav-Based Active Aircore System For Measurements Of Greenhouse Gases - Raw Data

description: Raw Picarro data sets and flight logs from the Lutjewad drone flights on September 13th 2016, along with the processed flight data, as presented in "A UAV-based active AirCore system for measurements of greenhouse gases" published in <em>Atmospheric Measurement Techniques </em>(https://doi.org/10.5194/amt-11-1-2018)<em>. </em>
DOI: 10.5281/zenodo.1230383
title: Andersen Et Al., 2018 - A Uav-Based Active Aircore System For Measurements Of Greenhouse Gases - Raw Data

description: Raw Picarro data sets and flight logs from the Lutjewad drone flights on September 13th 2016, along with the processed flight data, as presented in "A UAV-based active AirCore system for measurements of greenhouse gases" published in <em>Atmospheric Measurement Techniques </em>(https://doi.org/10.5194/amt-11-1-2018)<em>. </em>
DOI: 10.5281/zenodo.1230390
title: Simulation Cer160_50_Popc_512_Nacl_150Mm_310K (Rep2)

description: <strong>Title publication: </strong><em>A Ceramide-Regulated Element in the Late Endosomal Protein LAPTM4B Controls Amino Acid Transporter Interaction</em>

<strong>Year publication: </strong>2018

<strong>DOI publication:</strong> XXXXX

<strong>Description:</strong> Simulation POPC membrane containing ~8% ceramide (CER160) using charmm36 at 310K.

<strong>MD engine:</strong> Gromacs 2016.2-dev-20170105-4feb0be

<strong>Force field</strong>: charmm36

<strong>Temperature</strong>: 310 K

<strong>Pressure:</strong> 1 bar

<strong>Simulation time</strong>: 3496 ns

<strong>Saving frequency</strong>: 100 ps

<strong>Molecular content</strong>:<br>
POPC        512<br>
CER160      50<br>
SOL      28100<br>
NA              75<br>
CL              75
DOI: 10.5281/zenodo.1230389
title: Simulation Cer160_50_Popc_512_Nacl_150Mm_310K (Rep2)

description: <strong>Title publication: </strong><em>A Ceramide-Regulated Element in the Late Endosomal Protein LAPTM4B Controls Amino Acid Transporter Interaction</em>

<strong>Year publication: </strong>2018

<strong>DOI publication:</strong> XXXXX

<strong>Description:</strong> Simulation POPC membrane containing ~8% ceramide (CER160) using charmm36 at 310K.

<strong>MD engine:</strong> Gromacs 2016.2-dev-20170105-4feb0be

<strong>Force field</strong>: charmm36

<strong>Temperature</strong>: 310 K

<strong>Pressure:</strong> 1 bar

<strong>Simulation time</strong>: 3496 ns

<strong>Saving frequency</strong>: 100 ps

<strong>Molecular content</strong>:<br>
POPC        512<br>
CER160      50<br>
SOL      28100<br>
NA              75<br>
CL              75
DOI: 10.25549/chs-m19365
title: Professor Charles Frederick Holder and boatman Jim Gardner [Mexican Joe?] displaying the "Record Cath" tuna in Avalon, Catalina Island, 1898

description: Photograph of Professor Charles Frederick Holder and boatman Jim Gardner [Mexican Joe?] displaying a fish at Catalina, 1898. A large tuna fish can be seen at right hung by its gills from a pole. Jim Gardner is visible at center. He is wearing a large straw hat, vest and long pants. He has a long pole with a large metal hook at left. Dr. Holder is visible at left and can be seen wearing a corduroy suit and striped hat. He has a gray beard and glasses and is holding a long fishing pole. Holder was a conservationist, sportsman, and professor of Piscatorial science. Please note that some sources identify the boatman as "Mexican Joe" (also known as Jose Felice Presiado). "Avalon, June 2. -- Prof. C.F. Holder of Pasadena, after a fight of about four hours in a heavy sea, with Jim Gardner as boatman, made the record catch probably of the world yesterday, taking a leaping tuna weighing 183 ponds on rod and reel and twenty-one cuttuhunk line..." -- LA Herald, June 3rd, 1898.
DOI: 10.25549/chs-m19374
title: View of Third Street looking north in San Jose, California, [s.d.]

description: Photograph of a view of Third Street looking north in San Jose, California, [s.d.]. The street emerges from the foreground on the right into the distance on the right. A carriage stands on the right next to the trees that line the street on both sides. A long staircase just past the carriage leads to a building that is covered by the large trees. A sidewalk emerges from the foreground on the left into the distance with fenced plots of land filled with trees and grass next to it on the far left.
DOI: 10.25549/chs-m18554
title: Exterior view of the science building on the campus of the University of Southern California, [s.d.]

description: Photograph of an exterior view of the science building on the campus of the University of Southern California, [s.d.]. The three-story brick building is at center and its façade faces slightly to the right. Arched windows go around the perimeter of the building on the first floor, while rectangular windows can be seen on the top floors. The roof is made of terracotta tiles. Several trees can be seen on a grassy area in the foreground, and a concrete sidewalk is visible as well.
DOI: 10.17632/7h8sntw548.1
title: Data for: DATUVINK pilot study: A potential non-invasive methodology for dating ballpoint pen inks using multivariate chemometrics based on their UV-vis-NIR reflectance spectra

description: Raw dat file: Raw data of diffuse reflectance measurements of all ink samples. The spectra were registered from 200 to 2500 nm with a resolution of 0.1 nm (600 nm min-1 scan speed). Each ink sample column gives the reflectance data measured (R %) at each registered wavelength. SIMCA file: Information and data used for chemometric analysis. All the spectra registered were smoothed (1:50) and transformed to absorbance. Each column gives the absorbance measured at each registered wavelength for each ink sample. Accelerated aging time of each ink sample is expressed in logarithmic function. This information was treated with SIMCA software in order to carry out the chemometric analysis.