cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.35678
title: Regional Disparities in Higher Education Investment Efficiency in China: An Integrated Two-Stage DEA-DOLS Analytical Framework
title: Regional Disparities in Higher Education Investment Efficiency in China: An Integrated Two-Stage DEA-DOLS Analytical Framework

description: This study constructs a two-stage Data Envelopment Analysis (DEA) model and uses MAXDEA9 to measure the overall efficiency of higher education investment, talent cultivation efficiency, and achievement transformation efficiency in 31 provinces of China from 2014 to 2023. At the same time, the dynamic ordinal least squares (DOLS) model is used to calculate the significant impact of external factors on the overall efficiency and efficiency of each sub stage. 
description: This study constructs a two-stage Data Envelopment Analysis (DEA) model and uses MAXDEA9 to measure the overall efficiency of higher education investment, talent cultivation efficiency, and achievement transformation efficiency in 31 provinces of China from 2014 to 2023. At the same time, the dynamic ordinal least squares (DOLS) model is used to calculate the significant impact of external factors on the overall efficiency and efficiency of each sub stage.
DOI: 10.3535/9qg-5vv-elv
title: Turbonilla Risso, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2nl-0tq-5y4
title: Reticunassa silvardi (H. H. Kool & H. Dekker, 2006)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.57760/sciencedb.36132
title: Necroptotic Gingival Fibroblasts Exacerbate NETs Formation in Periodontitis
title: 坏死性凋亡牙龈成纤维细胞促进NETs发生加重牙周炎

description: Periodontitis involves dysregulated stromal-immune interactions that exacerbate tissue damage. Although necroptosis of gingival fibroblasts (GFs) contributes to pathogenesis, the specific cellular crosstalk mechanisms remain unclear. Here, we revealed that aberrant communication between necroptotic GFs and neutrophil extracellular traps (NETs) aggravates periodontal inflammation and bone loss.
description: Periodontitis involves dysregulated stromal-immune interactions that exacerbate tissue damage. Although necroptosis of gingival fibroblasts (GFs) contributes to pathogenesis, the specific cellular crosstalk mechanisms remain unclear. Here, we revealed that aberrant communication between necroptotic GFs and neutrophil extracellular traps (NETs) aggravates periodontal inflammation and bone loss.
DOI: 10.3535/krg-rey-rh2
title: Reticunassa microstriata H. H. Kool, 2022

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7w-d7h-sca
title: Reticunassa hanraveni (H. H. Kool & H. Dekker, 2006)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mxx-ff2-9kp
title: Albinaria corrugata gemina H. Nordsieck, 2017

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yzl-jje-ayf
title: Conus eburneus Hwass, 1792

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jgn-51g-8lr
title: Albinaria papillifera cilicica H. Nordsieck, 1993

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6dm-21k-p25
title: Albinaria candida candida (L. Pfeiffer, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vvv-egf-awk
title: Tonicella marmorea (O. Fabricius, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3vw-4h4-wr1
title: Albinaria virginea strigata (L. Pfeiffer, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.18347825
title: Supplementary Data v1.0 — A two-tier audit of foil–lacquer integration on the Shōsōin Heibun qin

description: Dataset accompanying the study “A two-tier audit of foil–lacquer integration on the Shōsōin Heibun qin”.

This v1.0 release supersedes an earlier pre-release dataset, with updated reference numbering across the manuscript, cleaned S1–S3 corpora, a validated SI-5 observation register, and additional validation outputs (derived views and validation report).

Contents include machine-readable TSV corpora (S1_WS-Tang_lacquer.tsv; S2_Tang_pingtuo.tsv; S3_Lacquered_qin.tsv) and the SI-5 audit suite for reviewer verification (README.md, SI-5_Observations.tsv, schema_obs.json, obs_validate.py, validation_report.txt, TierA_T3_view.tsv, Comparatives_view.tsv), organised in a clean directory structure with a MANIFEST and repository-wide SHA-256 checksums.

Third-party images are not redistributed; figure rights are held by the Imperial Household Agency (Shōsōin).

 

Licensing

Data: CC BY 4.0

Scripts / text snippets: MIT (see LICENSES/).
DOI: 10.15468/dl.hnja6u
title: Occurrence Download

description: A dataset containing 1012014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.6.1_1",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2005-2026"
 ]
}

 The dataset includes 1012014 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006827-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt9sha
title: Occurrence Download

description: A dataset listing the 29663 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Nigeria",
 "BasisOfRecord is one of (Human Observation, Specimen)"
 ]
}

 The dataset's 29663 records were derived from 714 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006828-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/snps1o
title: 2009-EGG-LV-0802-Linarte.ogg

description: Interprétation en anglais, interprète/traducteur : Lera Sheynin
DOI: 10.57745/lsiuso
title: 2009-EGG-LV-0803-Linarte.ogg

description: Enregistrement audio en russe avec interprétation en anglais, interprète/traducteur : Lera Sheynin
DOI: 10.57745/wixgmr
title: 2009-EGG-LV-0801-Linarte.ogg

description: Enregistrement audio en version originale russe
DOI: 10.17632/y7bcjk8mst.1
title: Panji Wulung a Cultural Treasure from Javanese Classical Literature of Indonesia

description: Panji Wulung is a Sundanese literary narrative composed in the traditional wawacan poetic form, and it stands as the most renowned work by Muhammad Musa. This literary piece was written in 1862 and later published in 1871 by the Landsdrukkerij. The story centers around Panji Wulung, a character who gains remarkable power and expertise through dedicated learning and disciplined training, enabling him to overcome various trials. Although the tale is not directly linked to the Javanese Panji literary tradition, the use of the name "Panji" may have been inspired by the moral values and heroic qualities associated with Panji figures in Javanese culture.

The Panji Tale is a classic work of Javanese literature that developed during the Majapahit period. It became very popular in the lives of people across the Nusantara (Indonesian archipelago) and Southeast Asia from ancient times until today. This is evident from the numerous variants of the Panji Tale that have been documented, both in the form of ancient manuscripts and oral traditions that have spread as far as Southeast Asia. In the life of Nusantara society, the presence of the Panji Tale holds a very special place. Unlike many kakawin (epic poems) influenced by Indian epics, the Panji Tale is an original story that originated in Java. It tells of Javanese knights with settings in Javanese kingdoms, not Indian ones. The Panji Tale, with its many variants, typically takes place in East Javanese kingdoms during the period of around the 10th to 16th centuries. Due to its popularity, Panji stories have been found in various forms across regions and cultures up to the present day. They appear in performances, written texts, temple reliefs, oral traditions, and even digital media.
DOI: 10.14470/9x7562122052
title: Cliff coast failures on the Jasmund part of Rügen, Germany

description: Cliffs line many erosional coastlines. Localized failures can cause land loss and hazard, and impact ecosystems and sediment routing. Links between cliff erosion and forcing mechanisms are poorly constrained, due to limitations of classic approaches. Combining multi-seasonal seismic and drone surveys, wave, precipitation and groundwater data we study drivers and triggers of seismically detected failures along the chalk cliffs on Germany's largest island, Rügen. The network consists of four (later five) seismic stations along the 8.6 km long chalk cliff coast. Waveform data are available from the GEOFON data centre, under network code 4K.
DOI: 10.15468/dl.erm3rn
title: Occurrence Download

description: A dataset containing 480380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -25.914722",
 "DecimalLatitude is less than or equal to -15.914722",
 "DecimalLongitude is greater than or equal to -70.0",
 "DecimalLongitude is less than or equal to -60.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 480380 records from 344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007668-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8je2n5
title: Occurrence Download

description: A dataset containing 271661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.98681 42.82854,-3.51712 42.82854,-3.51712 43.05404,-3.98681 43.05404,-3.98681 42.82854))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 271661 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007643-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gy3pc
title: Occurrence Download

description: A dataset containing 3330439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "Geometry POLYGON((12 55.55,12.85 55.55,12.85 56.15,12 56.15,12 55.55))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2013-2022"
 ]
}

 The dataset includes 3330439 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007662-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14470/8i254008
title: Monitoring water flow in karst using passive seismic 'listening'

description: Detecting and quantifying water flow structures in heterogeneous karst through geophysical imagery of karst structures, is open to large uncertainties. Here we determine that subterranean flow-induced seismic signal originating in karst subsurface water pathways such as fractures, conduits and caves can be detected as persistent frequencies on spectrograms. Conducting passive seismic surveys on two karst sites with shallow and deep conduits show that these frequencies are site dependent, and differ from what might be expected from surface water flow in rivers. We applied an amplitude-based location method to locate this flow-induced micro-tremor. Numerical simulation of the elasto-acoustic wave propagation in a simplified karst model shows that resonance plays an important role, excited by specific frequencies in the flow-related seismic spectrum. This study introduces a novel approach for detecting the flowing structures in karst by directly imaging the source itself rather than inferring flow pathways through geophysical imaging of karst structures. Waveform data is available from the GEOFON data centre, under network code 3V.
DOI: 10.34740/kaggle/dsv/13864626
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.14470/8f7563441145
title: Archimedes

description: This dataset includes five stations of an Ocean Bottom Seismometer (OBS) experiment conducted at the southern end of the Fonualei Rift and Spreading Center in the Lau Basin, southwestern Pacific. The OBS recorded continuously for 32-days on 4 components, including a hydrophone and a 3-component 4.5 Hz geophone. The experiment was conducted during RV Sonne cruise SO267, project ARCHIMEDES I.
DOI: 10.34894/9nigc5
title: Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features

description: This data package contains the information needed to replicate the research titled - 'Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features'
description: This research is part of the AMICUS project. The anonymized clinical research data from ETZ is used for this research. This data is present in the research servers at ETZ. My supervisor Wouter De Baene also has access to this research data in research servers at ETZ. Due to privacy reasons, data cannot be moved out of ETZ hospital. The data can be accessed after approval from ETZ Wetenschapsbureau. The python scripts used for model development are attached.
description: This research is to develop a prediction model for local control of brain metastases for stereotactic radiosurgery patients. This research can be replicated by following the methodology described in the paper.
DOI: 10.14470/8d7576413905
title: Dublin pilot test train experiment, phase 2

description: Geophysical section of Dublin institute for Advanced studies is a publicly funded (government) academic research organization that develop new methods for studying the earth. In this project we are trying to develop new environmentally friendly ways to monitoring ground integrity. The idea is to use ground vibrations from natural and man-made sources, that already exist in everyday life for monitoring ground integrity. Here we would like to see if ground vibrations made by passing trains can be used to determine the integrity of the ground beneath the train track itself. This project involves the recording and analysis in detail the seismic vibrations generated by trains in order to better understand the proprieties of the waves propagating from the railway trough the shallow underground. Waveform data are available from the GEOFON data centre.
DOI: 10.17632/yfm4sw8h25
title: The Global 30m Forest Age Map (Natural vs. Planted forest)

description: The Global 30m Forest Age Map (Natural vs. Planted Forest), 1985–2024 provides a worldwide, high-resolution dataset that separately maps the ages of natural and planted forests. Forest age is derived from Landsat time-series spectral change points using the CCDC algorithm. The dataset reveals global and regional patterns of forest development and offers a consistent basis for studies on forest dynamics, carbon cycles, and ecosystem management. In the data files, those beginning with NF correspond to natural forests, while those beginning with PF correspond to planted forests. Due to the large volume of the dataset, a portion of the data files is hosted on an additional storage platform. These externally hosted files form part of the same dataset and are fully associated with the same DOI as the files stored on Mendeley Data. The additional files can be accessed at the following link: https://zenodo.org/records/17636330.
DOI: 10.15468/dl.hpfsps
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus asplundii, Amaranthus looseri)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yfm4sw8h25.2
title: The Global 30m Forest Age Map (Natural vs. Planted forest)

description: The Global 30m Forest Age Map (Natural vs. Planted Forest), 1985–2024 provides a worldwide, high-resolution dataset that separately maps the ages of natural and planted forests. Forest age is derived from Landsat time-series spectral change points using the CCDC algorithm. The dataset reveals global and regional patterns of forest development and offers a consistent basis for studies on forest dynamics, carbon cycles, and ecosystem management. In the data files, those beginning with NF correspond to natural forests, while those beginning with PF correspond to planted forests. Due to the large volume of the dataset, a portion of the data files is hosted on an additional storage platform. These externally hosted files form part of the same dataset and are fully associated with the same DOI as the files stored on Mendeley Data. The additional files can be accessed at the following link: https://zenodo.org/records/17636330.
DOI: 10.15468/dl.j64egb
title: Occurrence Download

description: A dataset containing 7776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.25563 -17.51393,24.30189 -17.51393,24.30189 -17.46911,24.25563 -17.46911,24.25563 -17.51393))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7776 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewykth
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.8607 35.18229, -115.8591 35.18374, -115.8609 35.18479, -115.863 35.18367, -115.8607 35.18229))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007708-251120083545085/datasets/export for details.
DOI: 10.14470/8d7564413901
title: Dublin pilot test train experiment, phase 1

description: Geophysical section of Dublin institute for Advanced studies is a publicly funded (government) academic research organization that develop new methods for studying the earth. In this project we are trying to develop new environmentally friendly ways to monitoring ground integrity. The idea is to use ground vibrations from natural and man-made sources, that already exist in everyday life for monitoring ground integrity. Here we would like to see if ground vibrations made by passing trains can be used to determine the integrity of the ground beneath the train track itself. This project involves the recording and analysis in detail the seismic vibrations generated by trains in order to better understand the proprieties of the waves propagating from the railway trough the shallow underground. Waveform data are available from the GEOFON data centre.
DOI: 10.5281/zenodo.17711726
title: E-Commerce Development Services

description: E-Commerce Development Services
DOI: 10.5281/zenodo.17711727
title: E-Commerce Development Services

description: E-Commerce Development Services
DOI: 10.6084/m9.figshare.30706589
title: QDNA-ID: Quantum Device Native Authentication Dataset

description: QDNA-ID: Quantum Device Native Authentication Platform Dataset. A quantum provenance dashboard that links physical device behavior to cryptographically verifiable, signed fingerprints.<br>The QDNA-ID platform for real quantum devices was developed using several statistical metrics to accurately measure quantum identity. The platform collected 25 sessions with a constant 1024 shots for all sessions from 12/10/2025 to 20/10/2025 on two real IBM quantum computer, ibm_torino and ibm_brisbane, approximately every 8 hours. The QDNA-ID platform uses statistical metrics to present the differences between all intersecting circuits between sessions, from session to session, and from computer to computer, with real-time provenance tracking and monitoring. Sessions and features for each quantum computer are authenticated and physically protected with a CHSH quantum circuit to separate real machines from simulated or tampered ones, as well as HMAC-SHA256 keys to protect against internal tampering, and RSA-SHA256 public and secret encryption to verify sessions for public use for increased reliability.<br><b>The code shown here is a simplified V0 example only and does not represent the exact workings. The dataset shown is the same data used for the Proof-of-Concept tests.</b>Code:https://github.com/QDAN-ID/QDNA-IDCitationIf you use QDNA-ID in your research, please cite: <b>QDNA-ID: Quantum Device Native Authentication</b>, http://arxiv.org/abs/2511.17692.<br><br>
DOI: 10.6084/m9.figshare.30706589.v1
title: QDNA-ID: Quantum Device Native Authentication Dataset

description: QDNA-ID: Quantum Device Native Authentication Platform Dataset. A quantum provenance dashboard that links physical device behavior to cryptographically verifiable, signed fingerprints.<br>The QDNA-ID platform for real quantum devices was developed using several statistical metrics to accurately measure quantum identity. The platform collected 25 sessions with a constant 1024 shots for all sessions from 12/10/2025 to 20/10/2025 on two real IBM quantum computer, ibm_torino and ibm_brisbane, approximately every 8 hours. The QDNA-ID platform uses statistical metrics to present the differences between all intersecting circuits between sessions, from session to session, and from computer to computer, with real-time provenance tracking and monitoring. Sessions and features for each quantum computer are authenticated and physically protected with a CHSH quantum circuit to separate real machines from simulated or tampered ones, as well as HMAC-SHA256 keys to protect against internal tampering, and RSA-SHA256 public and secret encryption to verify sessions for public use for increased reliability.<br><b>The code shown here is a simplified V0 example only and does not represent the exact workings. The dataset shown is the same data used for the Proof-of-Concept tests.</b>Code:https://github.com/QDAN-ID/QDNA-IDCitationIf you use QDNA-ID in your research, please cite: <b>QDNA-ID: Quantum Device Native Authentication</b>, http://arxiv.org/abs/2511.17692.<br><br>