cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15397888
title: Biological treatment of rheumatoid arthritis

description: Enhanced understanding of the rheumatoid arthritis (RA) pathophysiology and the role of cytokines has enabled the development of innovative biological agents in the last 10 years that target specific parts of the immune response. Failure to achieve adequate response with tra-ditional disease modifying anti-rheumatic drugs (DMARDs) and increasing evidence of ongoing radiographic deterioration of the affected joints despite seemingly clinical response were essential stimuli for the development of biologics. The current and upcoming biological agents are primarily aimed at neutralizing circulating and cell-bound pro-inflammatory cytokines, interfering in the interaction of antigen-presenting and T-lymphocytes, eliminating circulating B-lymphocytes or by interfering with the intracellular signaling mechanisms of immuno-competent cells that lead to inflammation. These agents have improved the currently available treatments due to greater efficacy, fast action and greater tolerability. However, use of these agents has also been associated with significant, although rare, adverse events and considerable cost. Therefore, these agents should be used with caution by experienced clinicians. The present work aims to provide a global and updated review of the current and in-development biological DMARDs for the treatment of RA.
DOI: 10.15468/dl.83cqxz
title: Occurrence Download

description: A dataset containing 18376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((28.59784 -2.91643,31.66798 -2.91643,31.66798 -0.75318,28.59784 -0.75318,28.59784 -2.91643))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028571-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14362918
title: Database of Liquefaction phenomena in the boader Aegean Region, DALO v2.0
DOI: 10.5281/zenodo.14362919
title: Database of Liquefaction phenomena in the boader Aegean Region, DALO v2.0
DOI: 10.15468/dl.2x8k9e
title: Occurrence Download

description: A dataset containing 6421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteronotus parnellii (Gray, 1843)"
 ]
}

 The dataset includes 6421 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028572-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebn6bv
title: Occurrence Download

description: A dataset containing 7310080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "Geometry POLYGON((-80.77432 0.84042,-81.96025 -2.47453,-79.83042 -4.60017,-76.95031 -3.05471,-75.32874 0.04177,-80.77432 0.84042))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 7310080 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028540-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e227801
title: NU - CMS - Skilled Nursing Facility All Owners

description: The
 Skilled Nursing Facility (SNF) All Owners dataset provides information 
on all owners of SNFs currently enrolled in Medicare. This data includes
 ownership information such as ownership name, ownership type, ownership
 address and ownership effective date.

 

On November 17, 2023, CMS published in the Federal Register a
 final rule titled, “Medicare and Medicaid Programs; Disclosures of 
Ownership and Additional Disclosable Parties Information for Skilled 
Nursing Facilities and Nursing Facilities; Medicare Providers’ and 
Suppliers’ Disclosure of Private Equity Companies and Real Estate 
Investment Trusts” (88 FR 80141). This final rule implements parts of 
section 1124(c) of the Act which requires SNFs to disclose detailed 
information about their ownership and management as well as additional 
data regarding: (1) other parties with which the SNF is associated; and 
(2) the ownership structures of these other parties. Refer to Medicare Enrollment for Providers & Suppliers for more information on the Skilled Nursing Facility disclosure requirements. 

 Section 6101(b) of the Affordable Care Act states that no 
later than 1 year after final regulations promulgated under section 
1124(c) of the Act are published in the Federal Register, the Secretary 
shall make the information reported available to the public.

 On November 21, 2024 CMS updated this dataset to include this reported information.
DOI: 10.3886/e227801v1
title: NU - CMS - Skilled Nursing Facility All Owners

description: The
 Skilled Nursing Facility (SNF) All Owners dataset provides information 
on all owners of SNFs currently enrolled in Medicare. This data includes
 ownership information such as ownership name, ownership type, ownership
 address and ownership effective date.

 

On November 17, 2023, CMS published in the Federal Register a
 final rule titled, “Medicare and Medicaid Programs; Disclosures of 
Ownership and Additional Disclosable Parties Information for Skilled 
Nursing Facilities and Nursing Facilities; Medicare Providers’ and 
Suppliers’ Disclosure of Private Equity Companies and Real Estate 
Investment Trusts” (88 FR 80141). This final rule implements parts of 
section 1124(c) of the Act which requires SNFs to disclose detailed 
information about their ownership and management as well as additional 
data regarding: (1) other parties with which the SNF is associated; and 
(2) the ownership structures of these other parties. Refer to Medicare Enrollment for Providers & Suppliers for more information on the Skilled Nursing Facility disclosure requirements. 

 Section 6101(b) of the Affordable Care Act states that no 
later than 1 year after final regulations promulgated under section 
1124(c) of the Act are published in the Federal Register, the Secretary 
shall make the information reported available to the public.

 On November 21, 2024 CMS updated this dataset to include this reported information.
DOI: 10.22002/82xv5-wk067
title: Dataset: Investigating the effects of liquid handling robot pipetting speed on yeast growth and gene expression using growth assays and RNA-seq

description: Supplementary Table 1: Pairwise Pearson correlation coefficients (PCCs) of 5,193 gene expression between 24 samples.
DOI: 10.15468/dl.5ee4d3
title: Occurrence Download

description: A dataset containing 8427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxus brevifolia Nutt."
 ]
}

 The dataset includes 8427 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028574-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bg357f
title: Occurrence Download

description: A dataset containing 1651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Formica paralugubris Seifert, 1999"
 ]
}

 The dataset includes 1651 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028575-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/162164
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise EN712 using a SeaBird SBE-911+ instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/162183
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise EN714 using a SeaBird SBE-911+ instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/162368
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise EN715 using a SeaBird SBE-911+ instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/162406
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise EN717 using a SeaBird SBE-911+ instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.xnrh26
title: Occurrence Download

description: A dataset containing 28378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tecoma stans (L.) Juss. ex Kunth"
 ]
}

 The dataset includes 28378 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028576-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnez2q
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is one of (iNaturalist Research-grade Observations, VERTEBRADOS DE VALOR ESPECIAL EN ÁREAS PROTEGIDAS DE LA ARGENTINA, Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Mammalogy National Collection (MACNMa), Avistajes de espcies de valor especial en áreas protegidas del noreste de Argentina, Museum of Comparative Zoology, Harvard University, RBINS Mammal collection, Mammal Collection (MHNG-MAMO) of Muséum d'histoire naturelle de la Ville de Genève, LACM Vertebrate Collection)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ozotoceros bezoarticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 235 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012827-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvy4qm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Bubalornis niger)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085514-250717081556266/datasets/export for details.
DOI: 10.15468/dl.c9rhtw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caprimulgus solala)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085515-250717081556266/datasets/export for details.
DOI: 10.15468/dl.grr7xc
title: Occurrence Download

description: A dataset containing 188713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Varroa destructor",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 188713 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085484-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36bksu
title: Occurrence Download

description: A dataset containing 10258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caprimulgus tristigma)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 10258 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085516-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16919304
title: Radio and Network KPI measurements for evaluating performance of multi-connectivity solutions in high-mobility environments

description: This dataset, developed as part of the Horizon Europe COMMECT project, contains KPI measurements from 5G and satellite links collected by the Denmark Living Lab. The campaign was conducted on a highway crossing the Jutland peninsula (Denmark) to evaluate the performance of multi-connectivity solutions in high-mobility environments. The dataset focuses on the integration of cellular and satellite links to address connectivity challenges in these regions.

The measurements include data from one 5G cellular operator and a satellite link. Each row represents a recorded data point, capturing critical radio parameters and latency/throughput performance.

The data, presented in Matlab *.m format, is structured with the name “X_Y_Z”, where: (i) X indicates the type of technology studied, i.e., cellular or satellite, (ii) Y indicates the KPI analyzed, i.e., Round-Trip Time (RTT), Downlink Throughput (Mbps) or Uplink Throughput (Mbps), and (iii) Z indicates whether the measurements correspond to mobility (on the highway) or static, performed as a reference at Aalborg University.

Included Parameters:



Time: The timestamp indicating when the measurement was recorded.

Latitude: GPS coordinates for latitude.

Longitude: GPS coordinates for longitude.

Round-Trip Time / Downlink Throughput / Uplink Throughput: The measured data round-trip time and/or transmission rate.

RSRP (dBm): Reference Signal Received Power, representing the signal strength (only available in the cellular link).

RSSI (dB): Received signal strength indicator, representing the signal strength (only available in the cellular link).

RSRQ (dB): Reference Signal Received Quality, reflecting the signal quality (only available in the cellular link).

SNR (dB): Signal-to-Noise Ratio (only available in the cellular link). 


The dataset provides a foundation for analysing multi-connectivity performance in high mobility scenarios and is used in the following research paper: 



A. Ramírez-Arroyo, T. B. Sørensen and P. Mogensen, "Terrestrial 5G and Starlink NTN Multi-Connectivity Toward 6G Communications Integration Era: An Empirical Assessment," IEEE Open Journal of the Communications Society, vol. 6, pp. 5269-5283, 2025.


The dataset is available as a ZIP file containing the processed measurement data and the associated research.
DOI: 10.5281/zenodo.16919305
title: Radio and Network KPI measurements for evaluating performance of multi-connectivity solutions in high-mobility environments

description: This dataset, developed as part of the Horizon Europe COMMECT project, contains KPI measurements from 5G and satellite links collected by the Denmark Living Lab. The campaign was conducted on a highway crossing the Jutland peninsula (Denmark) to evaluate the performance of multi-connectivity solutions in high-mobility environments. The dataset focuses on the integration of cellular and satellite links to address connectivity challenges in these regions.

The measurements include data from one 5G cellular operator and a satellite link. Each row represents a recorded data point, capturing critical radio parameters and latency/throughput performance.

The data, presented in Matlab *.m format, is structured with the name “X_Y_Z”, where: (i) X indicates the type of technology studied, i.e., cellular or satellite, (ii) Y indicates the KPI analyzed, i.e., Round-Trip Time (RTT), Downlink Throughput (Mbps) or Uplink Throughput (Mbps), and (iii) Z indicates whether the measurements correspond to mobility (on the highway) or static, performed as a reference at Aalborg University.

Included Parameters:



Time: The timestamp indicating when the measurement was recorded.

Latitude: GPS coordinates for latitude.

Longitude: GPS coordinates for longitude.

Round-Trip Time / Downlink Throughput / Uplink Throughput: The measured data round-trip time and/or transmission rate.

RSRP (dBm): Reference Signal Received Power, representing the signal strength (only available in the cellular link).

RSSI (dB): Received signal strength indicator, representing the signal strength (only available in the cellular link).

RSRQ (dB): Reference Signal Received Quality, reflecting the signal quality (only available in the cellular link).

SNR (dB): Signal-to-Noise Ratio (only available in the cellular link). 


The dataset provides a foundation for analysing multi-connectivity performance in high mobility scenarios and is used in the following research paper: 



A. Ramírez-Arroyo, T. B. Sørensen and P. Mogensen, "Terrestrial 5G and Starlink NTN Multi-Connectivity Toward 6G Communications Integration Era: An Empirical Assessment," IEEE Open Journal of the Communications Society, vol. 6, pp. 5269-5283, 2025.


The dataset is available as a ZIP file containing the processed measurement data and the associated research.
DOI: 10.15468/dl.patm8e
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Boleophthalmus boddarti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 594 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028250-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4q327
title: Occurrence Download

description: A dataset containing 8057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania ambrosioides",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8057 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028251-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85mfqm
title: Occurrence Download

description: A dataset containing 80917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-49.31513 -27.58663,-49.25593 -27.59293,-49.23577 -27.52742,-49.18664 -27.45814,-49.15263 -27.38886,-49.10728 -27.30194,-49.01658 -27.27422,-48.91706 -27.22131,-48.85156 -27.15707,-48.81377 -27.08401,-48.74448 -27.02858,-48.62733 -26.95803,-48.64245 -26.93032,-48.64245 -26.88875,-48.70543 -26.87867,-48.8377 -26.91143,-48.98509 -26.9467,-49.06445 -26.98323,-49.15389 -27.01976,-49.24459 -27.09156,-49.363 -27.181,-49.47008 -27.19612,-49.54188 -27.26792,-49.57715 -27.38508,-49.54188 -27.49971,-49.4474 -27.57277,-49.31513 -27.58663))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 80917 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028218-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14620778
title: Radio KPI & Latency Measurement of Cellular and Satellite Networks for Evaluating Multi-Connectivity Solutions in Livestock Transport Monitoring in Rural Areas

description: Data Description

This dataset, developed as part of the Horizon Europe COMMECT project, contains KPI measurements from 5G and satellite links collected by the Denmark Living Lab. The measurement campaign was conducted in the northern part of Denmark to evaluate the performance of a multi-connectivity solution aimed at ensuring seamless connectivity for monitoring livestock transport in rural areas. The dataset focuses on the integration of cellular and satellite links to address connectivity challenges in these regions.

The measurements include data from two 5G NSA (Non-Standalone) cellular operators and a satellite link. Each row represents a recorded data point, capturing critical radio parameters and latency performance.

Included Parameters:



Time: The timestamp indicates when the measurement was recorded.

RSRP (dBm): Reference Signal Received Power, representing the signal strength.

RSRQ (dB): Reference Signal Received Quality, reflecting the signal quality.

SNR (dB): Signal-to-Noise Ratio.

Latency (ms): The two-way time delay measured in milliseconds.


The dataset provides a foundation for analyzing multi-connectivity performance for delay-sensitive applications. It allows researchers to study the impact of latency on critical use cases, such as ensuring timely updates during livestock transport in rural areas. By comparing latency metrics across 5G and satellite links, the dataset helps evaluate the suitability of different network configurations for applications where low latency is crucial to maintaining seamless operations and decision-making.

The dataset is used in the following research papers:



“Connecting Rural Areas: An Empirical Assessment of 5G Terrestrial-LEO Satellite Multi-Connectivity” – This paper details the measurement campaign and its findings.


The dataset is available as a ZIP file containing the processed measurement data and the associated research paper.