cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/21671768.v1
title: FACT HRC (FACT-processed and FACT-support): a dataset of Wizard-of-Oz human-robot handovers and collaboration in Functional And Creative Tasks

description: Dataset accompanying our HRI 2023 paper:Leimin Tian, Kerry He, Shiyu Xu, Akansel Cosgun, and Dana Kulić. 2023. Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration. In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI '23), March 13–16, 2023, Stockholm, Sweden. ACM, New York, NY, USA, 9 pages. (ACM copy, arXiv copy)<br>This record contains two out of three segments of the FACT dataset, namely:FACT-processed:Non-identifiable data as csv files, including the robot's status, the controls of the teleoperation framework, the estimates of facial and upper body keypoints from the OAK-D camera feed, and the emotion estimates from both camera feeds, extracted from the synchronised raw data at 0.1s intervals. In addition, the de-identified questionnaire responses are provided.FACT-support:Supporting materials, including the instruction sheet, operator's cheat-sheet for teleoperation framework controls, CAD file for the laser-cutting design of the birdhouse; implementation of the teleoperation framework, data processing, and feature extraction provided as fetch-teleop-main.zip. More up to date implementation can also be found at https://github.com/tianleimin/fetch-teleop<br>FACT-raw:Please see https://doi.org/10.26180/21671789.v1<br>Related datasets:Extracted csv data from FACT-HRC stage 1 (teleoperated handovers): https://doi.org/10.26180/21671768Raw ROS bag data of FACT-HRC stage 1 (teleoperated handovers): https://doi.org/10.26180/21671789Extracted csv data files of FACT-HRC stage 2 (auto handovers): https://doi.org/10.26180/25449640Raw ROS bag data of FACT-HRC stage 2 (auto handovers): https://doi.org/10.26180/25449652Questionnaire and annotation from FACT-HRC stage 3 (online video comparison): https://doi.org/10.26180/28492796
DOI: 10.25346/s6lqjm3j/mgsacv
title: msXV_064v_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/hwiopr
title: msXV_064v_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/hk5m4e
title: msXV_064v_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/ivsyra
title: msXV_064v_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/mie77w
title: msXV_064v_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/vb4xrp
title: msXV_064v_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/a5yytf
title: msXV_064v_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/km5a8j
title: msXV_064v_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.15468/dl.zuhpkx
title: Occurrence Download

description: A dataset containing 11209 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harbor Branch Oceanographic Institute United States Non-Molluscan Invertebrates"
 ]
}

 The dataset includes 11209 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032058-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/kwfivd
title: msXV_064v_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/lbq5mu
title: msXV_064v_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/jclx3z
title: msXV_064r_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/ykruna
title: msXV_064r_MMSI+RTI+W505665_040_F.tif
DOI: 10.25346/s6lqjm3j/0ybkly
title: msXV_064r_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/5xqjie
title: msXV_064r_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/vi2dqd
title: msXV_064r_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/b9kbhq
title: msXV_064r_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/tkcun4
title: msXV_064r_MMSI+RTI+W400G58_033_F.tif
DOI: 10.25346/s6lqjm3j/7jvszp
title: msXV_064r_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/flf2wx
title: msXV_064r_MMSI+RTI+W385R25_028_F.tif
DOI: 10.25346/s6lqjm3j/ibbhae
title: msXV_064r_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/gjldgy
title: msXV_064r_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/5kws7w
title: msXV_064r_MMSI+RTI+W365R25_027_F.tif
DOI: 10.34740/kaggle/dsv/13724765
title: List Benchmarks Kaggle
DOI: 10.25346/s6lqjm3j/8fccxm
title: msXV_064r_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/c45hyx
title: msXV_064r_MMSI+RTI+W365B47_035_F.tif
DOI: 10.25346/s6lqjm3j/n8v3j0
title: msXV_064r_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/yhonor
title: msXV_064r_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/plf82s
title: msXV_064r_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/dwg5fl
title: msXV_064r_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/f8u3nu
title: msXV_064r_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/wm0rcj
title: msXV_064r_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/a0pmv9
title: msXV_064r_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/oppcqz
title: msXV_064r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/dygz20
title: msXV_064r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/rhkqbl
title: msXV_064r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/cbxute
title: msXV_064r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/7kau9u
title: msXV_064r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/l4x4gx
title: msXV_064r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.15468/dl.md2sa3
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Narcissus fernandesii"
 ]
}

 The dataset includes 171 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032059-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/meev9u
title: msXV_064r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/sadt5x
title: msXV_064r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/hmmco2
title: msXV_064r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/xtzaq0
title: msXV_064r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/aqyshr
title: msXV_064r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/vlbwkl
title: msXV_064r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/hlldvk
title: msXV_064r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/yt1txi
title: msXV_064r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/wuntej
title: msXV_064r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/t7dzyx
title: msXV_064r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/4xiixu
title: msXV_064r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/eky9xc
title: msXV_064r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/zuwvas
title: msXV_064r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/ugvizj
title: msXV_064r_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/8geitf
title: msXV_064r_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.15468/dl.99gazm
title: Occurrence Download

description: A dataset containing 80851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Oreochromis niloticus"
 ]
}

 The dataset includes 80851 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032042-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/tjho8c
title: msXV_064r_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.25346/s6lqjm3j/tyhi9y
title: msXV_064r_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/rgyihc
title: msXV_064r_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/bsnkeb
title: msXV_064r_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/3fbrwd
title: msXV_064r_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/ejqb1e
title: msXV_064r_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/yvlgqz
title: msXV_064r_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.25346/s6lqjm3j/ar1xof
title: msXV_064r_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.25346/s6lqjm3j/orjw1a
title: msXV_064r_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.25346/s6lqjm3j/v2kwkt
title: msXV_064r_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/4wv8l1
title: msXV_064r_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/djqfwf
title: msXV_064r_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/fbwpdm
title: msXV_064r_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/xxwhxm
title: msXV_064r_MMSI+RTI+Arc_F02_081_F.tif
DOI: 10.25346/s6lqjm3j/1c1saf
title: msXV_064r_MMSI+RTI+Arc_E15_080_F.tif
DOI: 10.25346/s6lqjm3j/w6pkix
title: msXV_064r_MMSI+RTI+Arc_E13_079_F.tif
DOI: 10.25346/s6lqjm3j/rf3ohb
title: msXV_064r_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.25346/s6lqjm3j/0b3jq6
title: msXV_064r_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.25346/s6lqjm3j/qk8sa7
title: msXV_064r_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.25346/s6lqjm3j/rbey6b
title: msXV_064r_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/y0qxp8
title: msXV_064r_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.15468/dl.78zcac
title: Occurrence Download

description: A dataset containing 35053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is one of (North America, South America)",
 "Country is one of (Colombia, Venezuela (Bolivarian Republic of), Brazil, Trinidad and Tobago, Guyana, Suriname, Puerto Rico, Curaçao, Ecuador, French Guiana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eudocimus ruber"
 ]
}

 The dataset includes 35053 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032060-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/amgtrv
title: msXV_064r_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.17632/97rrxknbw2
title: Sex-dimorphic association of marriage with liver injury, A study from KNHANES

description: A derived dataset from KNHANES data, which is used for explore the influence of marriage on liver injury.
DOI: 10.17632/97rrxknbw2.1
title: Sex-dimorphic association of marriage with liver injury, A study from KNHANES

description: A derived dataset from KNHANES data, which is used for explore the influence of marriage on liver injury.
DOI: 10.17632/3gs7cf3smp
title: Wuhan Wetland Ecological Network MSPA–MCR Dataset

description: Data summary 
Based on eight types of multi-source data, including the 2024 China Land Cover (CLCD) at 30 m resolution, Sentinel-2 NDVI, 30 m DEM, OpenStreetMap road networks, and Wuhan's 2025 Ecological Redline, the MSPA, Minimum Cumulative Resistance (MCR), and Circuit Theory models were employed to extract and validate the core habitats, ecological corridors, and bottleneck points of Wuhan's wetland ecological network. This study provides a basis for the precise delineation of ecological redlines in megacities.
Administrative boundary 
Level: Provincial and Municipal Boundaries 
Coordinate system: CGCS2000/38th band of 3 ° (EPSG: 4546) 
Source: Resource and Environmental Science Data Center 
Original format: shp 
China Land Cover Dataset (CLCD) 2004, 2014, 2024 editions 
Resolution: 30 meters 
Coordinate system: WGS84 (EPSG: 4326) 
Category: Farmland, Forest Land, Shrubs, Grassland, Water Body, Wetland, Impermeable Surface, Bare Land, Ice and Snow 
Source: Wuhan University Google Earth Engine Platform 
Coverage: 8569 km ² of Wuhan city 
Original format: GeoTIFF, 1 band 
Sentinel-2 NDVI vegetation index 
Resolution: 10 m → resample 30 m 
Coordinate system: WGS84 
Band: NDVI (calculated for B8 and B4) 
Source: Google Earth Engine 
Original format: GeoTIFF, 1 band 
Digital Elevation Model (DEM) 
Resolution: 30 meters 
Coordinate system: WGS84 
Source: ASTGTMV003 (Geospatial Data Cloud) 
Original format: GeoTIFF, 1 band 
Road vector 
Coordinate system: WGS84 
Attributes: Road grade, name, speed, number of lanes 
Acquisition time: March 15, 2024 (OpenStreetMap Planet dump) 
Original format:. osm. pbf → Export shp
DOI: 10.17632/3gs7cf3smp.1
title: Wuhan Wetland Ecological Network MSPA–MCR Dataset

description: Data summary 
Based on eight types of multi-source data, including the 2024 China Land Cover (CLCD) at 30 m resolution, Sentinel-2 NDVI, 30 m DEM, OpenStreetMap road networks, and Wuhan's 2025 Ecological Redline, the MSPA, Minimum Cumulative Resistance (MCR), and Circuit Theory models were employed to extract and validate the core habitats, ecological corridors, and bottleneck points of Wuhan's wetland ecological network. This study provides a basis for the precise delineation of ecological redlines in megacities.
Administrative boundary 
Level: Provincial and Municipal Boundaries 
Coordinate system: CGCS2000/38th band of 3 ° (EPSG: 4546) 
Source: Resource and Environmental Science Data Center 
Original format: shp 
China Land Cover Dataset (CLCD) 2004, 2014, 2024 editions 
Resolution: 30 meters 
Coordinate system: WGS84 (EPSG: 4326) 
Category: Farmland, Forest Land, Shrubs, Grassland, Water Body, Wetland, Impermeable Surface, Bare Land, Ice and Snow 
Source: Wuhan University Google Earth Engine Platform 
Coverage: 8569 km ² of Wuhan city 
Original format: GeoTIFF, 1 band 
Sentinel-2 NDVI vegetation index 
Resolution: 10 m → resample 30 m 
Coordinate system: WGS84 
Band: NDVI (calculated for B8 and B4) 
Source: Google Earth Engine 
Original format: GeoTIFF, 1 band 
Digital Elevation Model (DEM) 
Resolution: 30 meters 
Coordinate system: WGS84 
Source: ASTGTMV003 (Geospatial Data Cloud) 
Original format: GeoTIFF, 1 band 
Road vector 
Coordinate system: WGS84 
Attributes: Road grade, name, speed, number of lanes 
Acquisition time: March 15, 2024 (OpenStreetMap Planet dump) 
Original format:. osm. pbf → Export shp
DOI: 10.17632/pyv2yxrffc.1
title: Annual pellet size calculate

description: The data includes MATLAB programs, Fluent validation models, Python plotting code, and raw data, etc.
DOI: 10.17632/sh7yj8cryn
title: Ji Xiaochen - Application analysis of stellate ganglion block in uterine fibroid removal surgery. Raw data

description: Objective To investigate the effectiveness of stellate ganglion block (SGB) in patients undergoing myomectomy. Methods A total of 240 patients who underwent laparoscopic myomectomy at our hospital were randomly divided into a combined block group (n=120) and a general anesthesia group (n=120). Both groups received propofol anesthesia. The combined block group underwent ultrasound-guided right-sided SGB before anesthesia induction, whereas the general anesthesia group received an equal volume of normal saline injection at the stellate ganglion. The perioperative hemodynamics, heart rate variability, postoperative visual analog scale (VAS) pain scores, recovery process, rescue analgesia, adverse reactions, preoperative and postoperative Pittsburgh Sleep Quality Index (PSQI) scores, self-rating anxiety scale (SAS) scores, and inflammatory stress response were compared between the two groups. The results The mean arterial pressure and heart rate at the time of tracheal intubation and extubation, as well as the low-frequency power and low-frequency power/high-frequency power at the time of tracheal intubation, 5 minutes after pneumoperitoneum creation, at the end of surgery, and at extubation, were lower in the combined block group than in the general anesthesia group (P&lt;0.05). The VAS scores at rest at 6 h, 12 h, and 24 h postoperatively, the number of patient-controlled analgesia pumps pressed within 48 h, and the proportion of rescue analgesia in the combined block group were lower than those in the general anesthesia group, whereas the time to first flatus and ambulation was shorter than that in the general anesthesia group (P&lt;0.05). The levels of interleukin-6, cortisol, and norepinephrine at 24 h postsurgery in the combined block group were lower than those in the general anesthesia group (P&lt;0.05). The PSQI and SAS scores at 1 postoperative day were lower in the combined block group than in the general anesthesia group (P&lt;0.05). The incidence of nausea and vomiting, dizziness and headache, and shoulder pain in the combined block group was lower than that in the general anesthesia group (P&lt;0.05). Conclusion Stellate ganglion block in patients undergoing laparoscopic myomectomy can stabilize hemodynamics, maintain autonomic nervous system balance, improve postoperative analgesic effects, reduce the inflammatory stress response and anxiety‒sleep disorder symptoms, promote postoperative recovery, and increase safety.

Keywords: Stellate ganglion block; Propofol anesthesia; Laparoscopy; Myomectomy
DOI: 10.17632/sh7yj8cryn.1
title: Ji Xiaochen - Application analysis of stellate ganglion block in uterine fibroid removal surgery. Raw data

description: Objective To investigate the effectiveness of stellate ganglion block (SGB) in patients undergoing myomectomy. Methods A total of 240 patients who underwent laparoscopic myomectomy at our hospital were randomly divided into a combined block group (n=120) and a general anesthesia group (n=120). Both groups received propofol anesthesia. The combined block group underwent ultrasound-guided right-sided SGB before anesthesia induction, whereas the general anesthesia group received an equal volume of normal saline injection at the stellate ganglion. The perioperative hemodynamics, heart rate variability, postoperative visual analog scale (VAS) pain scores, recovery process, rescue analgesia, adverse reactions, preoperative and postoperative Pittsburgh Sleep Quality Index (PSQI) scores, self-rating anxiety scale (SAS) scores, and inflammatory stress response were compared between the two groups. The results The mean arterial pressure and heart rate at the time of tracheal intubation and extubation, as well as the low-frequency power and low-frequency power/high-frequency power at the time of tracheal intubation, 5 minutes after pneumoperitoneum creation, at the end of surgery, and at extubation, were lower in the combined block group than in the general anesthesia group (P&lt;0.05). The VAS scores at rest at 6 h, 12 h, and 24 h postoperatively, the number of patient-controlled analgesia pumps pressed within 48 h, and the proportion of rescue analgesia in the combined block group were lower than those in the general anesthesia group, whereas the time to first flatus and ambulation was shorter than that in the general anesthesia group (P&lt;0.05). The levels of interleukin-6, cortisol, and norepinephrine at 24 h postsurgery in the combined block group were lower than those in the general anesthesia group (P&lt;0.05). The PSQI and SAS scores at 1 postoperative day were lower in the combined block group than in the general anesthesia group (P&lt;0.05). The incidence of nausea and vomiting, dizziness and headache, and shoulder pain in the combined block group was lower than that in the general anesthesia group (P&lt;0.05). Conclusion Stellate ganglion block in patients undergoing laparoscopic myomectomy can stabilize hemodynamics, maintain autonomic nervous system balance, improve postoperative analgesic effects, reduce the inflammatory stress response and anxiety‒sleep disorder symptoms, promote postoperative recovery, and increase safety.

Keywords: Stellate ganglion block; Propofol anesthesia; Laparoscopy; Myomectomy
DOI: 10.15468/dl.kqd5t5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Protobothrops himalayanus)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007359-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dwfthtrbv7
title: A Bibliometric Analysis of Research on Myofascial Pain Trigger Points

description: The data for bibliometric analysis was sourced from the Web of Science Core Collection (WoSSC). The search was conducted on February 12, 2025, using the following search string: TS= (“myofascia” OR “fascia” OR “muscle fascia” OR “myofascial pain”) AND (“trigger points” OR “pain points” OR “sensitive points” OR “myofascial trigger points”). A total of 978 articles were retrieved. Article type was limited to "article," and other types were excluded. Only English-language articles were included. Data were manually screened for authenticity and reliability, with two researchers independently conducting the screening. In case of discrepancies, a third researcher was consulted for consensus. After manual screening, 699 articles were retained for analysis. Data retrieval and downloading were performed on the same day to minimize biases caused by daily database updates. The complete records were downloaded in file formats including plain text, BibTex, Tab delimited file, and Excel for further analysis.The retrieved data were imported into Citespace (version 6.2.R7 Advanced), VOSviewer (version 1.6.20), R (version 4.4.1) with the bibliometrix package, KH Coder (3b07d), Word Cloud Maker (https://wordart.com/), and Edraw Soft Online (https://mm.edrawsoft.cn/app/create) for analysis and visualization.
VOSviewer was used to visualize co-authorship, co-occurrence, and co-citation networks, which are useful for understanding the collaboration and relationships among authors, institutions, and countries. Different nodes represent authors, countries, institutions, journals, and keywords, with node size corresponding to citation or co-citation frequency. Edges between nodes indicate collaboration or co-occurrence. The color of nodes and edges reflects clusters or the associated year.
CiteSpace, a tool designed for the visualization and analysis of scientific literature networks, was employed to visualize keyword co-occurrence networks and detect emerging research trends through co-citation burst detection. We used CiteSpace to perform keyword and reference clustering analysis, as well as temporal distribution, to identify the evolution of research dynamics in this field.
Topic modeling, a technique from natural language processing (NLP), was used to discover potential themes in the literature. Latent Dirichlet Allocation (LDA) is a popular method for topic modeling that can effectively handle large amounts of unstructured text data. By analyzing word frequency co-occurrences within documents, LDA calculates the relevance of each article to a particular theme. The number of topics was determined using various criteria, such as cosine distance, Kullback-Leibler divergence, and model coherence.