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76 results for “data citation”
Data from: Sharing detailed research data is associated with increased citation rate
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Data from: Does this title bug (Hemiptera) you? How to write a title that increases your citations
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Data From: Getting cited early: influence of visibility strategies, structure, and focal system on early citation rates
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Data from: Tweeting birds: online mentions predict future citations in ornithology
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First ISCCP Regional Experiment (FIRE) Cirrus Phase II University of North Dakota Citation Aircraft Microphysical Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. The University of North Dakota owns and operates a Cessna Citation II aircraft (N77ND) for the purpose of atmospheric research. This aircraft type has a number of design and performance characteristics which make it an ideal platform for a wide range of atmospheric studies. A series of structural modifications have been made to the basic airplane. These include the following: pylons under the wing tips for a variety of probes in the undisturbed air flow away from the fuselage; a nose boom for wind measurement; a heated radome to prevent ice accumulation on the nose area; special mounts for upward and downward looking radiometers; side-facing camera mounts for time-lapse cameras; optically-flat glass windows for photography; and an air inlet port for air sampling inside the pressurized cabin. The research instrumentation available on the Citation for the second Cirrus IFO is described below. For more information about the UND Citation see http://cumulus.atmos.und.edu/ Cloud microphysical measurements were derived from data taken by the University of North Dakota Citation aircraft PMS 2D-C and 2D-P probes during the FIRE Cirrus IFO - II. Following are a list of parameters collected: VARIABLE DESCRIPTION UNITS ------------------------------------------------------------------------------- IT1,IT2 MEASUREMENT TIME INTERVAL HH/MM/SS PS STATIC PRESSURE mb TEMP AMBIENT TEMPERATURES degrees C ALT PRESSURE ALTITUDE m USTAR VERTICAL VELOCITY NEEDED TO KEEP THE cm/s RELATIVE HUMIDITY CONSTANT DBARM MEDIAN PARTICLE MASS WEIGHTED DIAMETER cm DMAX MAXIMUM PARTICLE DIAMETER cm W1 DIFFUSIONAL GROWTH RATE IN CHANNEL 1 g/sec W2 DIFFUSIONAL GROWTH RATE IN CHANNEL 2 g/sec W3 DIFFUSIONAL GROWTH RATE IN CHANNEL 3 g/sec W4 DIFFUSIONAL GROWTH RATE IN CHANNEL 4 g/sec WTOT TOTAL DIFFUSTIONAL GROWTH RATE g/sec DT8 DEPLETION TIME (8 micron droplets) sec DT12 DEPLETION TIME (12 micron droplets) sec TMASS1 IWC IN CHANNEL 1 g/m^3 TMASS2 IWC IN CHANNEL 2 g/m^3 DPTC DEW POINT TEMPERATURE (EG&G) degreesC RH RELATIVE HUMIDITY (EG&G) % RIWC ICE WATER CONTENT g/m^3 XM1 ICE WATER CONTENT BASED ON SNOW HABIT g/m^3 XM2 ICE WATER CONTENT BASED ON SMALL SNOW g/m^3 HABIT XM3 ICE WATER CONTENT BASED ON LARGE SNOW g/m^3 HABIT R PRECIPITATION RATE mm/hr DBZ RADAR REFLECTIVITY FACTOR decibels VBAR MEAN REFLECTIVITY WEIGHTED WITH THE cm/s TERMINAL VELOCITY TTCONC TOTAL PARTICLE CONCENTRATION #/L CBIN1 PARTICLE CONCENTRATION WITHIN THE RANGE LE 200 #/L CBIN2 PARTICLE CONCENTRATION WITHIN 200-500 #/L THE RANGE CBIN3 PARTICLE CONCENTRATION WITHIN THE 500-800 #/L RANGE CBIN4 PARTICLE CONCENTRATION WITHIN THE #/L RANGE GT 800 CE8 COLLECTION EFFICIENCY (8 micron none droplets) CE12 COLLECTION EFFICIENCY (12 micron none droplets) TMASS3 IWC IN CHANNEL 3 g/m^3 TMASS4 IWC IN CHANNEL 4 g/m^3 TIMP # OF CRYSTAL-CRYSTAL COLUMNS sec^(1-) RHORH WATER VAPOR DENSITY g/cm^3 SI SUPERSATURATION WITH RESPECT TO ICE % SW SUPERSATURATION WITH RESPECT TO WATER % LAMBDA COEFFICIENTS USED TO FIT THE EQUATION #/cm^3 NZERO N=N0*EXP(-LAMBDA*D) #/L/mm RSQ COEFFICIENT OF THE FIT none ICP PROBE TYPE (C OR P) none
First ISCCP Regional Experiment (FIRE) Cirrus Phase II University of North Dakota Citation Aircraft Particle Measuring System Probe Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. The University of North Dakota owns and operates a Cessna Citation II aircraft (N77ND) for the purpose of atmospheric research. This aircraft type has a number of design and performance characteristics which make it an ideal platform for a wide range of atmospheric studies. A series of structural modifications have been made to the basic airplane. These include the following: pylons under the wing tips for a variety of probes in the undisturbed air flow away from the fuselage; a nose boom for wind measurement; a heated radome to prevent ice accumulation on the nose area; special mounts for upward and downward looking radiometers; side-facing camera mounts for time-lapse cameras; optically-flat glass windows for photography; and an air inlet port for air sampling inside the pressurized cabin. The research instrumentation available on the Citation for the second Cirrus IFO is described below.The basic instrumentation package measured temperature, dew point temperature, pressure, wind and cloud microphysical characteristic along with aircraft position, altitude and performance parameters. The three-dimensional wind field is derived from measurements of acceleration, pitch, roll and yaw combined with angles of attack and sideslip and indicated airspeed. The aircraft parameters were supplied by an LTN-76 inertial navigation system and a Global Positioning System (GPS). Turbulence intensity can be derived from differential pressure transducers and INS accelerometer outputs. Cloud microphysical measurements were made with an array of Particle Measuring Systems probes (FSSP, 1D-C,2D-C,1D-P) mounted on the wing-tip pylons. These probes measure concentrations and sizes of particles from one micrometer to several millimeters in diameter. In addition there were probes to measure both liquid water content and icing rate. Several gas and aerosol sampling instruments were available. These include fast response O3 and NO2 monitors, and a condensation nuclei counter. A forward or side-looking video camera was also used to provide a visual record of flight conditions. The data were sampled at various rate from 1 to 24 sec-1. The sampling is controlled by the on-board computer system which also displayed the data in real time in graphic and alphanumeric formats while recording them on magnetic tape.
Raw data for Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias
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First ISCCP Regional Experiment (FIRE) Cirrus Phase I University of North Dakota Citation Aircraft 24 Hertz Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The University of North Dakota owns and operates a Cessna Citation II aircraft (N77ND) for the purpose of atmospheric research. This aircraft type has a number of design and performance characteristics which make it an ideal platform for a wide range of atmospheric studies. A series of structural modifications have been made to the basic airplane. These include the following: pylons under the wing tips for a variety of probes in the undisturbed air flow away from the fuselage; a nose boom for wind measurement; a heated radome to prevent ice accumulation on the nose area; special mounts for upward and downward looking radiometers; side-facing camera mounts for time-lapse cameras; optically-flat glass windows for photography; and an air inlet port for air sampling inside the pressurized cabin. The research instrumentation available on the Citation for the second Cirrus IFO is described below.For more information about the UND Citation see http://cumulus.atmos.und.edu/The data contained in the following file is 24 hertz data from the UND Citation II Weather Research Aircraft. Each record has 24 values of sixteen variables.The data order is:Number Variable Units24 values Date yymmdd24 values Time seconds from midnight24 values Pitotpressure, Nose millibars24 values Pitotpressure, Wing millibars24 values Vertical acceleration meters/second/second24 values Vertical wind meters/second24 values Static pressure millibars24 values Air temperature, Rosemount Celcius24 values True heading degrees24 values Wind direction degrees24 values Wind velocity meters/second24 values Angle of attack degrees24 values Angle of sideslip degrees24 values Replicator film speed24 values Replicator frame count24 values Replicator event mark
GPM GROUND VALIDATION UND CITATION NAVIGATION DATA GCPEX V2
The GPM Ground Validation UND Citation Navigation Data GCPEx V2 dataset was collected by the Cessna Citation II Research, which was aircraft, owned, and operated by the University of North Dakota (UND), participated in the GPM Cold-season Precipitation Experiment (GCPEx) by serving as an in situ microphysics sampling platform. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement Data User Guide of the overarching goal of GCPEx, which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The GCPEx navigation data set collected wind speed amongst several other parameters. It would also be beneficial to list the other parameters it collected.
GPM GROUND VALIDATION UND CITATION NAVIGATION DATA MC3E V1
The GPM Ground Validation UND Citation Navigation Data MC3E dataset was collected by the Cessna Citation II Research aircraft owned and operated by the University of North Dakota (UND) participated in the Midlatitude Continental Convective Clouds Experiment (MC3E) supplying navigation data and also carrying cloud microphysics instruments. This navigation dataset consists of files (.txt) from UND containing records with flight time (UT seconds from midnight) and aircraft latitude, longitude and altitude. The dataset also contains the IWG1 data collected during the mission. Data was collected from April 1, 2011 through June 2, 2011.
First ISCCP Regional Experiment (FIRE) Cirrus Phase II University of North Dakota Citation Aircraft 5 Second Data
FIRE_CI2_CITATN_5SEC data are First ISCCP (International Satellite Cloud Climatology Project) Regional Experiment (FIRE) Cirrus 2 University of North Dakota Citation Aircraft 5 Second Data in Native format. The First ISCCP Regional Experiments were designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE were to: improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles; and investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. Four intensive field-observation periods were planned and executed: a cirrus Intensive Field Observation (IFO) (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. The University of North Dakota owns and operates a Cessna Citation II aircraft (N77ND) for the purpose of atmospheric research. This aircraft type has a number of design and performance characteristics which make it an ideal platform for a wide range of atmospheric studies. A series of structural modifications have been made to the basic airplane. These include the following: pylons under the wing tips for a variety of probes in the undisturbed air flow away from the fuselage; a nose boom for wind measurement; a heated radome to prevent ice accumulation on the nose area; special mounts for upward and downward looking radiometers; side-facing camera mounts for time-lapse cameras; optically-flat glass windows for photography; and an air inlet port for air sampling inside the pressurized cabin. The research instrumentation available on the Citation for the second Cirrus IFO is described below. The data contained in the following file is 1/5 hertz data from the UND Citation II Weather Research Aircraft. Each record has one value of one hundred and thirteen variables. The data order is Number Variable Units:1. Date yymmdd; 2. True Air Speed meters/sec; 3. INS Ground Speed meters/sec; 4. INS Wind velocity meters/second; 5. Calculated Wind velocity meters/second; 6. INS Wind direction degrees; 7. Calculated Wind direction degrees; 8. INS True heading degrees; 9. Magnetic heading degrees; 10. Drift angle degrees; 11. Pitch angle degrees; 12. Roll angle degrees; 13. Static pressure millibars; 14. INS Altitude meters; 15. Pressure Altitude meters; 16. Vertical acceleration meters/second/second; 17. Air temperature, Rosemount Celsius; 18. Air temperature, Reverse Flow Celsius; 19. Dew Point Celsius; 20. Attack millibars; 21. SideSlip millibars; 22. J. W. Liquid Water grams/cubic-meter; 23. Pitotpressure, Nose millibars; 24. Pitotpressure, Wing millibars; 25. Ice detector volts; 26. Ice detector Liquid WAter grams/cubic-meter; 27. Angle of attack degrees; 28. INS Latitude degrees; 29. INS Longitude degrees; 30. Vertical velocity meters/second; 31. Vertical wind meters/second; 32. Angle of sideslip degrees; 33. Vapor Pressure millibars; 34. Mixing Ratio grams/kilogram; 35. Temperature, Reverse Flow (uncorrected) Celsius; 36. Equivalent Potential Temperature kelvin; 37. Potential Temperature kelvin; 38. Virtual Potential Temperature kelvin; 39. Total Mixing Ratio grams/kilogram; 40. Wet Equivalent Potential Temperature kelvin; 41. Vertical Wind Angle degrees; 42. VOR degrees; 43. DME Nautical Miles; 44. Heater Flag Volts; 45. Engine RPM Per Cent; 46. INS Track Angle degrees; 47. Mach Number; 48. Time Seconds from midnight; 49. Cabin Altitude meters; 50. Virtual Temperature kelvin; 51. Ozone ppbv; 52. Film Speed Number; 53. Frame Count meters; 54. Event Marker Volts; 55. NO2. ppbv; 56. Condensation Nucle; 57. Relative Humidity Per Cent; 58. Condensation Nuclei Temperature Celsius; 59. GPS Time Seconds from midnight; 60. GPS Latitude degrees; 61. GPS Longitude degrees; 62. GPS Altitude meters; 63. GPS Velocity North meters/second; 64. GPS Velocity East meters/second; 65. GPS Ground Speed meters/second; 66. GPS Track Angle degrees; 67. Condensation Nuclei Flow Rate liters/minute; 68. FSSP Counts Number; 69. FSSP Concentration Number/ml; 70. FSSP Liquid Water grams/cubic-meter; 71. FSSP Mean Diameter microns; 72. FSSP Mean Volume Diameter microns; 73. FSSP Median Diameter microns; 74. FSSP Median Volume Diameter microns; 75. FSSP Mode microns; 76. FSSP Skew microns; 77. FSSP Standard Deviation, Mean Diameter microns; 78. FSSP Standard Deviation, Mean Volume Diameter microns; 79. OneDC Counts Num
First ISCCP Regional Experiment (FIRE) Cirrus Phase II University of North Dakota Citation Aircraft 1 Hertz Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The University of North Dakota owns and operates a Cessna Citation II aircraft (N77ND) for the purpose of atmospheric research. This aircraft type has a number of design and performance characteristics which make it an ideal platform for a wide range of atmospheric studies. A series of structural modifications have been made to the basic airplane. These include the following: pylons under the wing tips for a variety of probes in the undisturbed air flow away from the fuselage; a nose boom for wind measurement; a heated radome to prevent ice accumulation on the nose area; special mounts for upward and downward looking radiometers; side-facing camera mounts for time-lapse cameras; optically-flat glass windows for photography; and an airinlet port for air sampling inside the pressurized cabin. The research instrumentation available on the Citation for the second Cirrus IFO is described below.The basic instrumentation package measured temperature, dew point temperature, pressure, wind and cloud microphysical characteristics along with aircraft position, altitude and performance parameters. The three-dimensional wind field is derived from measurements of acceleration, pitch, roll and yaw combined with angles of attack and sideslip and indicated airspeed. The aircraft parameters were supplied by an LTN-76 inertial navigation system and a Global PositioningSystem (GPS). Turbulence intensity can be derived from differential pressure transducers and INS accelerometer outputs.Cloud microphysics were sampled with PMS 1D-P, 2D-C, 1D-C and FSSP probes, and a continuous formvar replicator from DRI. A number of gas and aerosol sampling instruments were available. These included fast response O3 and NO2 monitors and a condensation nuclei counter.A forward-looking video camera was used to provide a visual record of flight conditions. The data were sampled at various rates from 1 to 24 sec-1. The sampling is controlled by the on-board computer system which also displayed the data in real time in graphic and alphanumeric formats while recording them on magnetic tape.
GPM Ground Validation UND Citation Navigation Data OLYMPEX V1
The GPM Ground Validation UND Citation Navigation Data OLYMPEX dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during November 12, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII format.
GPM GROUND VALIDATION UND CITATION NAVIGATION DATA IPHEx V1
The GPM Ground Validation UND Citation Navigation Data IPHEx dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during March 6, 2014 through June 13, 2014 for the Global Precipitation Measurement Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The Cessna Citation II Research aircraft, owned and operated by the University of North Dakota (UND), participated in the IPHEx field campaign by serving as an in situ microphysics sampling platform. This navigation dataset consists of final processed files containing records that include flight time, aircraft location (latitude, longitude, and altitude), air temperature, wind speed, and other relevant aircraft parameters in ASCII format.
Evaluation Data for "Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation"
<p><strong>Contents</strong><br> <br> The four CSV files are the data used for the evaluation in:</p> <ul> <li>Saier T., Färber M. (2020) Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. In: Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035.</li> <li>DOI: <a href="http://doi.org/10.1007/978-3-030-45439-5_15">10.1007/978-3-030-45439-5_15</a></li> <li>Code: <a href="https://github.com/IllDepence/ecir2020">github.com/IllDepence/ecir2020</a></li> </ul> <p>The evaluation was conducted in a citation re-prediction setting.</p> <p><strong>CSV Format</strong></p> <ul> <li>7 columns divided by \u241E <ol> <li>cited document ID <ul> <li>for *_nomarker.csv: citation marker position ambiguous</li> <li> for *_withmarker.csv: citation marker position at 'MAINCIT' in citation context</li> </ul> </li> <li>adjacent cited document IDs <ul> <li>only given in citrec_unarxive_*.csv</li> <li>divided by \u241F</li> <li>order matches 'CIT' markers in citation context</li> </ul> </li> <li>citing document ID</li> <li>citation context</li> <li>MAG field of study IDs <ul> <li>divided by \u241F</li> </ul> </li> <li>predicate:argument tuples generated based on PredPatt <ul> <li>JSON</li> </ul> </li> <li>noun phrases <ul> <li>for *_nomarker.csv: divided by \u241F</li> <li>for *_withmarker.csv: <ul> <li>divided by \u241D into</li> <li>noun phrases</li> <li>noun phrase directly preceding citation marker</li> </ul> </li> </ul> </li> </ol> </li> </ul> <p><strong>Data Sources</strong></p> <ol> <li>citrec_unarxive_cs_withmarker.csv <ul> <li>data set <ul> <li>unarXive</li> <li>Paper DOI: <a href="http://doi.org/10.1007/s11192-020-03382-z">10.1007/s11192-020-03382-z</a></li> <li>Data DOI: <a href="http://doi.org/10.5281/zenodo.2553522">10.5281/zenodo.2553522</a></li> </ul> </li> <li>filter <ul> <li>citing doc from computer science</li> <li>cited doc is cited at least 5 times</li> </ul> </li> </ul> </li> <li>citrec_mag_cs_en.csv <ul> <li>data set <ul> <li>Microsoft Academic Graph (MAG)</li> <li>Paper DOI: <a href="http://doi.org/10.1145/2740908.2742839">10.1145/2740908.2742839</a></li> </ul> </li> <li>filter <ul> <li>citing doc from computer science and in English</li> <li>citing doc abstract in MAG given</li> <li>cited doc is cited at least 50 times</li> </ul> </li> </ul> </li> <li>citrec_refseer.csv <ul> <li>data set <ul> <li>RefSeer</li> <li>Paper URL: <a href="http://ojs.aaai.org/index.php/AAAI/article/view/9528">ojs.aaai.org/index.php/AAAI/article/view/9528</a></li> <li>Data URL: <a href="http://ojs.aaai.org/index.php/AAAI/article/view/9528">psu.app.box.com/v/refseer</a></li> </ul> </li> <li>filter <ul> <li>for citing and cited docs title, venue, venuetype, abstract, and year not NULL</li> </ul> </li> </ul> </li> <li>citrec_acl-arc_withmarker.csv <ul> <li>data set <ul> <li>ACL ARC</li> <li>Paper URL: <a href="http://aclanthology.org/L08-1005">aclanthology.org/L08-1005</a></li> <li>Data URL: <a href="http://acl-arc.comp.nus.edu.sg/">acl-arc.comp.nus.edu.sg/</a></li> </ul> </li> <li>filter <ul> <li>cited doc has a DBLP ID</li> </ul> </li> </ul> </li> </ol> <p> </p> <p><strong>Paper Citation</strong></p> <pre>@inproceedings{Saier2020ECIR, author = {Tarek Saier and Michael F{\"{a}}rber}, title = {{Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation}}, booktitle = {Proceedings of the 42nd European Conference on Information Retrieval}, pages = {220--233}, year = {2020}, month = apr, doi = {10.1007/978-3-030-45439-5_15}, } </pre>
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata
<h2><strong>Description</strong></h2> <p><strong>unarXive</strong> is a scholarly data set containing <strong>publications' full-text</strong>, annotated <strong>in-text citations</strong>, and a <strong>citation network</strong>.</p> <p>The data is <strong>generated from all LaTeX sources on </strong><a href="https://arxiv.org/"><strong>arXiv</strong></a> and therefore of higher quality than data generated from PDF files.</p> <p>Typical <strong>use cases</strong> are</p> <ul> <li>Citation recommendation</li> <li>Citation context analysis</li> <li>Bibliographic analyses</li> <li>Reference string parsing</li> </ul> <p>This version (v3) of our data set is based on all arXiv publications until 2020-07-31 and on the Microsoft Academic Graph as of 2020-08-18. As additional contribution, we included a table with the publication date and the scientific discipline for each paper for easier filtering.</p> <p><strong>Note:</strong> This Zenodo record is an old version of unarXive. You can find the <strong>most recent version</strong> at <a href="../record/7752754">https://zenodo.org/record/7752754</a> and <a href="../record/7752615">https://zenodo.org/record/7752615</a></p> <h2><strong>Access</strong></h2> <p>┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓<br>┃ <a href="https://github.com/IllDepence/unarXive/blob/legacy_2020/doc/unarXive_sample.tar.bz2"><strong>D O W N L O A D S A M P L E</strong></a>  ┃<br>┗━━━━━━━━━━━━━━━━━━━━━━━━━━┛</p> <p>To download the whole data set send an access request and note the following:</p> <blockquote> <p><strong>Note</strong>: this Zenodo record is a "full" version of unarXive, which was generated from all of arXiv.org <em>including non-permissively licensed papers</em>. Make sure that your use of the data is compliant with the paper's licensing terms.¹</p> <p>¹ For information on papers' licenses use <a href="https://info.arxiv.org/help/bulk_data/index.html">arXiv's bulk metadata access</a>.</p> </blockquote> <p>The <strong>code</strong> used for generating the data set is <a href="https://github.com/IllDepence/unarXive/tree/legacy_2020/">publicly available</a>.</p> <p><strong>Usage examples</strong> for our data set are provided at <a href="https://github.com/IllDepence/unarXive/tree/legacy_2020/#usage-examples">here on GitHub</a>.</p> <h2><strong>Citing</strong></h2> <p>This initial version of unarXive is described in the following journal article.</p> <p><em>Tarek Saier, Michael Färber: "</em><a href="http://dx.doi.org/10.1007/s11192-020-03382-z"><em>unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata</em></a><em>", Scientometrics, 2020,</em><br>[<a href="https://www.aifb.kit.edu/images/f/f9/UnarXive_Scientometrics2020.pdf">link to an author copy]</a></p> <p>The <strong>updated version</strong> is described in the following conference paper.</p> <p><em>Tarek Saier, Michael Färber. "</em><a href="10.1109/JCDL57899.2023.00020"><em>unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network</em></a><em>", JCDL 2023.</em><br>[<a href="https://doi.org/10.48550/arXiv.2303.14957">link to an author copy</a>]</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.