cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m7psmb
title: Occurrence Download

description: A dataset containing 15802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Autumn Shine, Ava Moskaluk, avabelrose, Avery Allert, Avery Blumenthal, Avery Cunningham, awolday, axicus, Ayden Van Fossen, ayletttt, Ayokunle Joel, bacciogelato, Backwoods Botany, Bainoutdoors, Barbara, Barbara Gawin, Barbara Katzenberg, barbarac99, baronbradley, bauman, Baxter Naday, bclatt1, bcsmth, bcvilnrotter, beccametzler, beepboop, Beltzville State Park, belyykit, Ben Nettleton, Ben Pelkey, Ben Redding, Ben Stubbs, ben_gantz, benbreslow, benhall-7, Benigno Veraz, bennet, bennett-s, Bernard Brown, bernsue, Bert Harris, Beth Ann, Beth_BIOL151, beth_tracks, bethbrownlee, Betsy McCully, bev435, bfrankenstei, bianca0214, bighenry)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 15802 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008647-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yy23r
title: Occurrence Download

description: A dataset containing 12332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tremarctos ornatus"
 ]
}

 The dataset includes 12332 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008648-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18765050
title: RegDriver-sc_data
DOI: 10.5281/zenodo.18765049
title: RegDriver-sc_data
DOI: 10.5281/zenodo.18765200
title: People's Daily text data

description: People's Daily text data from 1 January 2007 to 31 December 2024, stored in the format ‘date, headline, text content’. Headlines labelled ‘advertisement’ and text segments with fewer than 15 characters have been preliminarily filtered. Suitable for text mining or sentiment analysis.
DOI: 10.15468/dl.3fvgwn
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gekko grossmanni"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008650-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rnhxs
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paepalanthus karstenii",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 613 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008651-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31403808
title: Rethinking interdependence

description: Homomorphism - strategic alliances
DOI: 10.6084/m9.figshare.31403808.v1
title: Rethinking interdependence

description: Homomorphism - strategic alliances
DOI: 10.15468/dl.xcadpw
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sitta himalayensis"
 ]
}

 The dataset includes 260 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008653-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ffc6x
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.76717 43.01722,-102.91607 43.01722,-102.91607 44.99329,-104.76717 44.99329,-104.76717 43.01722))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cirsium arvense"
 ]
}

 The dataset includes 639 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008652-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmp8tk
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paravelia",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 81 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008654-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rtgx4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gekko iskandari"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008656-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18764425
title: DDR Biomarker Validation Dataset: Pan-Cancer Analysis of DNA Damage Response

description: Validation dataset and source code for the DDR biomarker framework described in "Causal Diamond Dynamics in DNA Damage Response: A Classical Statistical Framework for Pan-Cancer Precision Oncology" (submitted to Clinical Cancer Research). Contains corrected biomarker results for 9,354 TCGA pan-cancer samples and 1,980 METABRIC samples, along with gene set definitions (24 genes, uniform weights), pathway edges (23 nodes, 30 edges), GTEx V8 reference distributions, graph topology sensitivity analysis, and HRD/MSI proxy validation results. All expression values on log₂(count+1) scale (UCSC Xena/Toil recount3 pipeline). See DATA_DICTIONARY.md for full column descriptions.
DOI: 10.5281/zenodo.18764424
title: DDR Biomarker Validation Dataset: Pan-Cancer Analysis of DNA Damage Response

description: Validation dataset and source code for the DDR biomarker framework described in "Causal Diamond Dynamics in DNA Damage Response: A Classical Statistical Framework for Pan-Cancer Precision Oncology" (submitted to Clinical Cancer Research). Contains corrected biomarker results for 9,354 TCGA pan-cancer samples and 1,980 METABRIC samples, along with gene set definitions (24 genes, uniform weights), pathway edges (23 nodes, 30 edges), GTEx V8 reference distributions, graph topology sensitivity analysis, and HRD/MSI proxy validation results. All expression values on log₂(count+1) scale (UCSC Xena/Toil recount3 pipeline). See DATA_DICTIONARY.md for full column descriptions.
DOI: 10.15468/dl.qjjr58
title: Occurrence Download

description: A dataset containing 10646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ochthoeca diadema",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10646 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008655-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.space.03539
title: Langfang MF Radar Wind Profile Data in 2009-2025
title: Langfang MF Radar Wind Profile Data in 2009-2025

description: MF Radar Wind Profile Data is derived from the MF Radar located at Langfang Observatory which processes the scattered echoes from ionosphere from 60 km to 100 km and calculates the horizontal wind velocity from 60 km to 100 km. This data is from the year 2009 to 2025. MF radar mainly uses the received correlated partial ionospheric reflection signal to invert the atmospheric wind field, that is, the full correlation analysis method. This method assumes the time and space function of the diffraction pattern formed by the radar echo generated by the scatterer on the ground can be represented by a set of ellipsoid functions, then the moving speed of the scatterer can be obtained by measuring the moving speed of the ground diffraction pattern. Using this method, the atmospheric horizontal wind field with a distance resolution of 2 km and a time resolution of 4 min can be finally retrieved in the height range of 60-100 km.
description: MF Radar Wind Profile Data is derived from the MF Radar located at Langfang Observatory which processes the scattered echoes from ionosphere from 60 km to 100 km and calculates the horizontal wind velocity from 60 km to 100 km. This data is from the year 2009 to 2025. MF radar mainly uses the received correlated partial ionospheric reflection signal to invert the atmospheric wind field, that is, the full correlation analysis method. This method assumes the time and space function of the diffraction pattern formed by the radar echo generated by the scatterer on the ground can be represented by a set of ellipsoid functions, then the moving speed of the scatterer can be obtained by measuring the moving speed of the ground diffraction pattern. Using this method, the atmospheric horizontal wind field with a distance resolution of 2 km and a time resolution of 4 min can be finally retrieved in the height range of 60-100 km.
DOI: 10.57760/sciencedb.space.03428
title: The lower thermospheric density dataset is calculated by NRLMSIS 2.1 model
title: The lower thermospheric density dataset is calculated by NRLMSIS 2.1 model

description: The dataset features a temporal resolution of three hours and offers comprehensive global spatial coverage. The longitudinal extent spans from 180°W to 179°E at a resolution of 1°, while the latitudinal coverage ranges from 85°N to 85°S, also at a 1° resolution. The vertical altitude range extends from 85 km to 125 km with a resolution of 2 km.The normal dataset was selected from both 2019—a year of low solar activity—and 2024—a year ofhigh solar activity. The geomagnetic storm dataset was constructed, comprising 102 storm events recordedbetween 2020 and 2023.
description: The dataset features a temporal resolution of three hours and offers comprehensive global spatial coverage. The longitudinal extent spans from 180°W to 179°E at a resolution of 1°, while the latitudinal coverage ranges from 85°N to 85°S, also at a 1° resolution. The vertical altitude range extends from 85 km to 125 km with a resolution of 2 km.The normal dataset was selected from both 2019—a year of low solar activity—and 2024—a year ofhigh solar activity. The geomagnetic storm dataset was constructed, comprising 102 storm events recordedbetween 2020 and 2023.
DOI: 10.57760/sciencedb.space.03032
title: CE7-high energy detector calibration
title: CE7-high energy detector calibration

description: CE-7 high energy detector calibration information. (1)sensor scale accelerator: sensor scale_x_y_m_n.txt , x represents the sensor name, y represents the number of sensor amplification channels, m represents the particle type, and n represents the accelerator name. The first line of the file is the particle deposition energy, and the second line is the ADC value.(2)sensor scale electronic calibration: sensor scale_x_y_electronic.txt, x represents the sensor name, y represents the number of sensor amplification channels.The first line of the file is the particle deposition energy, and the second line is the ADC value(3)energy resolution: energy resolution_xMeV-y detect.txt. x represents the energy,y represents the particle types.The first line of the file is the particle deposition energy, and the second line is the normalization counts(4)energy resolution distribution:energy resolution distribution_x_y.txt. x represents the sensor name,y represents the number of sensor amplification channels.The first line of the file is the particle deposition energy, and the second line is the energy resolution.(5)sensor response:sensor_x_y_response_m-nMeV.txt. x represents the sensor name, y represents the number of sensor amplification channels, m represents the particle type, and n represents the energy. The first line of the file is the ADC value, and the second line is the normalization counts.
description: CE-7 high energy detector calibration information. (1)sensor scale accelerator: sensor scale_x_y_m_n.txt , x represents the sensor name, y represents the number of sensor amplification channels, m represents the particle type, and n represents the accelerator name. The first line of the file is the particle deposition energy, and the second line is the ADC value.(2)sensor scale electronic calibration: sensor scale_x_y_electronic.txt, x represents the sensor name, y represents the number of sensor amplification channels.The first line of the file is the particle deposition energy, and the second line is the ADC value(3)energy resolution: energy resolution_xMeV-y detect.txt. x represents the energy,y represents the particle types.The first line of the file is the particle deposition energy, and the second line is the normalization counts(4)energy resolution distribution:energy resolution distribution_x_y.txt. x represents the sensor name,y represents the number of sensor amplification channels.The first line of the file is the particle deposition energy, and the second line is the energy resolution.(5)sensor response:sensor_x_y_response_m-nMeV.txt. x represents the sensor name, y represents the number of sensor amplification channels, m represents the particle type, and n represents the energy. The first line of the file is the ADC value, and the second line is the normalization counts.
DOI: 10.57760/sciencedb.space.03534
title: Fermi bubbles templates from DAMPE photon data
title: Fermi bubbles templates from DAMPE photon data

description: The DArk Matter Particle Explorer (DAMPE) is a space-borne high-energy particle detector that surveys the gamma-ray sky above 2 GeV with a peak acceptance of ~0.2 m2 sr. Using 102-month (8.5-yr) photon data, DAMPE has significantly detected the Fermi bubbles (~26 sigma significance) and the Galactic center excess (~7 sigma significance).In this repository, we present the Fermi bubbles templates, in FITS format, derived from the 8.5-yr DAMPE data. Two projections of the templates are provided: the plate carree (CAR) projection and the all-sky HEALPix projection. The template files are:- FBs_baseline_total_(proj).fits:The Fermi bubbles template directly extracted from the DAMPE residual map.- FBs_extrap1_total_(proj).fits and FBs_extrap2_total_(proj).fits:The Fermi bubbles templates extrapolated from the baseline map to the low-latitude region. These two templates are used for evaluating the systematic uncertainties of the Galactic center excess for DAMPE. The two maps correspond to two extrapolation methods. Please check Section 4.3 of arXiv:2512.23458 for details.The FITS files can be viewed with SAOImage DS9 and utilized by the data analysis tools (e.g., DmpST and fermitools).
description: The DArk Matter Particle Explorer (DAMPE) is a space-borne high-energy particle detector that surveys the gamma-ray sky above 2 GeV with a peak acceptance of ~0.2 m2 sr. Using 102-month (8.5-yr) photon data, DAMPE has significantly detected the Fermi bubbles (~26 sigma significance) and the Galactic center excess (~7 sigma significance).In this repository, we present the Fermi bubbles templates, in FITS format, derived from the 8.5-yr DAMPE data. Two projections of the templates are provided: the plate carree (CAR) projection and the all-sky HEALPix projection. The template files are:- FBs_baseline_total_(proj).fits:The Fermi bubbles template directly extracted from the DAMPE residual map.- FBs_extrap1_total_(proj).fits and FBs_extrap2_total_(proj).fits:The Fermi bubbles templates extrapolated from the baseline map to the low-latitude region. These two templates are used for evaluating the systematic uncertainties of the Galactic center excess for DAMPE. The two maps correspond to two extrapolation methods. Please check Section 4.3 of arXiv:2512.23458 for details.The FITS files can be viewed with SAOImage DS9 and utilized by the data analysis tools (e.g., DmpST and fermitools).
DOI: 10.15468/dl.pbz4kj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gekko gulat"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008657-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hhwcj
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-177.93892 48.94594,-155.65806 48.94594,-149.06507 54.70307,-145.59384 61.6307,-149.15593 64.15915,-154.03686 62.32022,-159.29937 61.10369,-177.93892 54.76575,-179.65402 51.6151,-177.93892 48.94594))",
 "HasGeospatialIssue is false",
 "TaxonKey is Botrychium"
 ]
}

 The dataset includes 441 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008658-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzyv3u
title: Occurrence Download

description: A dataset containing 60379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Sparisoma viride"
 ]
}

 The dataset includes 60379 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008576-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17181777
title: Balancing Earth's Deep Carbon Cycle [Dataset]
DOI: 10.5281/zenodo.18765297
title: Balancing Earth's Deep Carbon Cycle [Dataset]
DOI: 10.15468/dl.2zv7g9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paravelia juruana",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008660-260221153910048/datasets/export for details.
DOI: 10.57760/sciencedb.j00187.00106
title: A Dataset of F10.7 index of Hebei Langfang station (2022-2024)
title: 河北廊坊台站太阳辐射指数F10.7数据集（2022-2024年）

description: The solar F10.7 index is an important parameter for characterizing the level of solar activity, which has important scientific significance and engineering application value for its real-time accurate monitoring. In order to improve its independent monitoring capabilities, the National Space Science Center of the Chinese Academy of Sciences built a solar radio telescope in Langfang, Hebei Province in 2019, and the telescope officially produced scientific data in January 2022. Based on the monitoring data of the Langfang Solar Radio Telescope, this dataset constructs the autonomous solar radiation index F10.7 from 2022 to 2024, which has high quality reliability, has a high correlation coefficient with the international F10.7 index, and can reflect the level of solar activity, which has important application value.
description: The solar F10.7 index is an important parameter for characterizing the level of solar activity, which has important scientific significance and engineering application value for its real-time accurate monitoring. In order to improve its independent monitoring capabilities, the National Space Science Center of the Chinese Academy of Sciences built a solar radio telescope in Langfang, Hebei Province in 2019, and the telescope officially produced scientific data in January 2022. Based on the monitoring data of the Langfang Solar Radio Telescope, this dataset constructs the autonomous solar radiation index F10.7 from 2022 to 2024, which has high quality reliability, has a high correlation coefficient with the international F10.7 index, and can reflect the level of solar activity, which has important application value.
DOI: 10.57760/sciencedb.j00187.00105
title: A Dataset of Kpest index from Individual Stations (2022-2024)
title: 单台站地磁Kpest指数数据集（2022-2024年）

description: In 2011, the National Space Science Center of the Chinese Academy of Sciences established the Chinese Academy of Sciences Space Environment Monitoring Network, which included Mohe, Beijing, Langfang, Sanya, and Fuke. By integrating and processing the H-component monitoring data from fluxgate magnetometers at these five geomagnetic observatory stations, we have developed a geomagnetic Kpest index that can effectively identify the day-to-day variation characteristics of the geomagnetic regular daily variation, reflect the seasonal and local time effects of geomagnetic disturbances, and is suitable for the distribution characteristics of China's geomagnetic observatory network. This dataset contains the geomagnetic Kpest indices for the five geomagnetic observatory stations from 2022 to 2024. It addresses the current situation where the official Kp index is released with a two-week delay, failing to meet operational requirements, and can provide data support for space weather forecasting services.
description: In 2011, the National Space Science Center of the Chinese Academy of Sciences established the Chinese Academy of Sciences Space Environment Monitoring Network, which included Mohe, Beijing, Langfang, Sanya, and Fuke. By integrating and processing the H-component monitoring data from fluxgate magnetometers at these five geomagnetic observatory stations, we have developed a geomagnetic Kpest index that can effectively identify the day-to-day variation characteristics of the geomagnetic regular daily variation, reflect the seasonal and local time effects of geomagnetic disturbances, and is suitable for the distribution characteristics of China's geomagnetic observatory network. This dataset contains the geomagnetic Kpest indices for the five geomagnetic observatory stations from 2022 to 2024. It addresses the current situation where the official Kp index is released with a two-week delay, failing to meet operational requirements, and can provide data support for space weather forecasting services.
DOI: 10.15468/dl.cb3mq6
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum trichoides",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008659-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.