cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13709862
title: Magnetic diffusion in Solar atmosphere produces measurable electric fields

description: Stokes spectra in 397, 630, and 854 nm with a field-of-view of 10"x10" that contains the analyzed Ellerman bomb
DOI: 10.15468/dl.fdhq76
title: Occurrence Download

description: A dataset containing 35903 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y vegetación de la región terrestre prioritaria Tacaná-Boquerón, Chiapas, México"
 ]
}

 The dataset includes 35903 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118400-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfjqyg
title: Occurrence Download

description: A dataset containing 12288 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Árboles de Chiapas: registro georreferenciado de los ejemplares depositados en el herbario de la Academia de Ciencias de California (CAS)"
 ]
}

 The dataset includes 12288 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118401-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pscm4s
title: Occurrence Download

description: A dataset containing 2493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2493 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118402-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13693356
title: Local wakefulness-like activity of layer 5 cortex under general anaesthesia [Dataset]

description: These datasets contain the raw electrophysiology recordings analysed in the article "Local wakefulness-like activity of layer 5 cortex under general anaesthesia". Recordings are stored in MATLAB format (.mat). The sampling frequency of the recordings is 16667 Hz in all cases. Further information can be found in the main article.
DOI: 10.5281/zenodo.13693357
title: Local wakefulness-like activity of layer 5 cortex under general anaesthesia [Dataset]

description: These datasets contain the raw electrophysiology recordings analysed in the article "Local wakefulness-like activity of layer 5 cortex under general anaesthesia". Recordings are stored in MATLAB format (.mat). The sampling frequency of the recordings is 16667 Hz in all cases. Further information can be found in the main article.
DOI: 10.5281/zenodo.11003202
title: UMLS-Wikidata

description: UMLS_Wikidata is a German biomedical entity linking knowledge base that provides good coverage for German entity linking datasets such as WikiMed-DE-BEL. The knowledge base is created by filtering out the Wikidata items that contain the Concept Unique Itentifier (CUI) of UMLS. Each entry in the knowledge base consists of Wikidata QID, label, description, UMLS CUI and aliases. The resulting KB has 731,414 Wikidata QIDs, 599,330 unique CUIs and 671,797 unique (mention, CUI) pairs where mention includes label and aliases.
DOI: 10.5281/zenodo.11003203
title: UMLS-Wikidata

description: UMLS_Wikidata is a German biomedical entity linking knowledge base that provides good coverage for German entity linking datasets such as WikiMed-DE-BEL. The knowledge base is created by filtering out the Wikidata items that contain the Concept Unique Itentifier (CUI) of UMLS. Each entry in the knowledge base consists of Wikidata QID, label, description, UMLS CUI and aliases. The resulting KB has 731,414 Wikidata QIDs, 599,330 unique CUIs and 671,797 unique (mention, CUI) pairs where mention includes label and aliases.
DOI: 10.15468/dl.5gtm4s
title: Occurrence Download

description: A dataset containing 88955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 88955 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118403-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13624807
title: Datasets of Aerosol properties retrieved from AOD time series at selected GAWPFR stations

description: The datasets of aerosol properties retrieved from  Aerosol Optical Depth (AOD) measurements from Precision Filter Radiometers (PFR) using the model Generalized Retrieval of Atmosphere and Surface Properties-Aerosol Optical Depth (GRASP-AOD). They correspond to 3 stations of the GAW-PFR network (Davos, Izana and Hohenpeissenberg) and one associated (Lindenberg).

Each file corresponds to a station (identifier DAV for Davos, HPB for Hohenpeissenberg and IZO for Izaña). The file names include the identifier for each station, the starting and ending year of the measurements. The first 4 lines of the file include information about the station and the 5th about the columns of the file. The following columns are included in every text file: date(1-3), time UTC (4-6), air mass (7), PFR AOD at 368, 412, 500 and 862 nm (8-11), retrieved PFR AOD from GRASP at 368, 412, 500 and 862 nm (12-15), Angström Exponent (16), Fine mode aerosol optical depth (17), Coarse mode aerosol optical depth (18), Total volume concentration (19), Fine mode volume concentration (20), Coarse mode volume concentration (21), Effective radius (22), Fine mode volume median radius (23), Coarse mode volume median radius (24), Fine mode geometric standard deviation (25), Coarse mode geometric standard deviation (26), Inversion absolute error (27), Inversion relative error (28).

The dataset includes the full time series days per station. At stations there was a CIMEL sun photometer from AERONET measuring in parallel, which we used for the validation of the aerosol properties.

We also include a report describing the work in more detail, including the validation process and results.
DOI: 10.5281/zenodo.13624808
title: Datasets of Aerosol properties retrieved from AOD time series at selected GAWPFR stations

description: The datasets of aerosol properties retrieved from  Aerosol Optical Depth (AOD) measurements from Precision Filter Radiometers (PFR) using the model Generalized Retrieval of Atmosphere and Surface Properties-Aerosol Optical Depth (GRASP-AOD). They correspond to 3 stations of the GAW-PFR network (Davos, Izana and Hohenpeissenberg) and one associated (Lindenberg).

Each file corresponds to a station (identifier DAV for Davos, HPB for Hohenpeissenberg and IZO for Izaña). The file names include the identifier for each station, the starting and ending year of the measurements. The first 4 lines of the file include information about the station and the 5th about the columns of the file. The following columns are included in every text file: date(1-3), time UTC (4-6), air mass (7), PFR AOD at 368, 412, 500 and 862 nm (8-11), retrieved PFR AOD from GRASP at 368, 412, 500 and 862 nm (12-15), Angström Exponent (16), Fine mode aerosol optical depth (17), Coarse mode aerosol optical depth (18), Total volume concentration (19), Fine mode volume concentration (20), Coarse mode volume concentration (21), Effective radius (22), Fine mode volume median radius (23), Coarse mode volume median radius (24), Fine mode geometric standard deviation (25), Coarse mode geometric standard deviation (26), Inversion absolute error (27), Inversion relative error (28).

The dataset includes the full time series days per station. At stations there was a CIMEL sun photometer from AERONET measuring in parallel, which we used for the validation of the aerosol properties.

We also include a report describing the work in more detail, including the validation process and results.
DOI: 10.5281/zenodo.10794918
title: TVC Experiment 2018/19: UMass Airborne Ku-Band SAR data

description: This dataset contains the processed, backscatter data from the airborne UMass Ku-Band SAR data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident ground snow data, airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were acquired around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement, coincident with these airborne measurements, took place in November 2018, January 2019, and March 2019. The dataset consists of processed imagery with 100m averaged backscatter data and incidence angle data around all surveyed sites. Flight information and coincident field measurement metadata are also included.
DOI: 10.17632/hk75wrwr6n.1
title: Identification of Predictive Factors for Surgical Site Infections in Gastrointestinal Surgeries: A Retrospective Cross-Sectional Study in a Resource-Limited Setting

description: Over seven years from June 2015 to June 2022, patients who underwent GI surgery and developed SSI were retrospectively matched with an unaffected case-control cohort of patients. Standardized techniques for wound culture, laboratory evaluation of bacterial isolates, and antibiotic susceptibility tests were employed. Logistic regression analysis was utilized to investigate the predictive factors associated with 30-day postoperative SSI.
DOI: 10.5281/zenodo.10794207
title: TVC Experiment 2018/19: Snow field measurements

description: This dataset contains in situ snow measurements recorded as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were recorded 50 km north of the town of Inuvik, Northwest Territories around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/). Three periods of measurement took place in November 2018, January 2019, and March 2019 . Measurements and observations were recorded in handwritten snow pit sheets before being transcribed to electronic sheets. The dataset is organized by surveyed site and includes: 1) manual snowpit measurements of the following parameters: Total snow depth, vertical profiles of snow temperature, snow density, stratigraphy and grain size and notes on site characteristics and environmental conditions. 2) distributed snow depth measurements around the surveyed sites recorded with an automatic snow depth probe (magnaprobe), 3) SnowMicroPenetrometer (SMP) force profiles coincident with the snowpit measurements and distributed along the magnaprobe transects with its metadata file, and 4) snow microstructure profiles measuring specific surface area (SSA) using the IceCube instrument.
description: All geographic coordinates were recorded with Garmin GPS units using the geographic coordinate system: WGS 84 (EPSG: 4236). 

There are four type of data files: snow pit sheets, magnaprobe data, SMP-derived snow parameters and raw SMP penetration force profiles. Snow pit sheets and magnaprobe data are provided as Microsoft Excel (.xlsx) files. SMP-derived snow parameters are provided in comma-separated value (.csv) files. The raw SMP force profiles are binary (.pnt) files.

A synthesized version of the magnaprobe snow depth data extracted and associated with a specific snow pit was previously published here https://doi.org/10.5281/zenodo.8350643 .
DOI: 10.5281/zenodo.10794954
title: TVC Experiment 2018/19: Radarsat-2 backscatter data

description: This dataset contains the processed, backscatter data from Radarsat-2 (RSAT-2) satellite data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These RSAT-2 data were collected and processed evaluate against a network of Steven’s HydraProbe soil monitoring sensors, and coincident in situ snowpit measurements, airborne radar, and other satellite radar data to better understand soil-snow-radar interactions in a tundra environment. The RSAT-2 data was ordered to provide wintertime coverage from September 2018 to July 2019, over the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of in situ snow measurement took place in November 2018, January 2019, and March 2019. RSAT-2 data was acquired in Wide Fine Quad mode HH+HV+VH+VV. The RSAT-2 products were processed using the European Space Agency’s (ESA), Sentinel Application Platform (SNAP) software which included image calibration to sigma nought and orthorectification. An average of the calibrated backscatter and incidence angles was then calculated for an area 100 x 100 meters surrounding the geographic coordinates of each snowpit.
description: RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd. (2018) – All Rights Reserved. RADARSAT is an official trademark of the Canadian Space Agency.
DOI: 10.5281/zenodo.10794980
title: TVC Experiment 2018/19: LiDAR processed soil roughness

description: This dataset contains the processed LiDAR data of Lange et al. (2021) (https://doi.pangaea.de/10.1594/PANGAEA.934387), as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate soil roughness impacts on airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement took place in November 2018, January 2019, and March 2019. The dataset consists of LiDAR estimates of surface roughness statistics including the Root Mean Square (RMS) height and correlation length for a 100 m footprint around all in situ snowpit survey sites.
description: The original dataset was collected by Lange et al. (2021) and can be retrieved here: https://doi.pangaea.de/10.1594/PANGAEA.934387
DOI: 10.6084/m9.figshare.26014813
title: Supplementary Material for: Electrical and Magnetic Neuromodulation Technologies and Brain-Computer Interfaces: Ethical Considerations for enhancement of brain function in healthy people – a systematic scoping review

description: Introduction: This scoping review aims to synthesize the fragmented evidence on ethical concerns related to the use of electrical and magnetic neuromodulation technologies, as well as Brain-Computer Interfaces for enhancing brain function in healthy individuals, addressing the gaps in understanding spurred by rapid technological advancements and ongoing ethical debates.

Methods: The following databases and interfaces were queried: Medline (via PubMed), Web of Science, Phil Papers and Google Scholar. Additional references were identified via bibliographies of included citations. References included experimental studies, reviews, opinion papers, and letters to editors published in peer-reviewed journals that explored the ethical implications of electrical and magnetic neuromodulation technologies and brain-computer interfaces for enhancement of brain function in healthy adult or pediatric populations. 

Results: A total of 23 articles were included in the review, of which the majority explored expert opinions in the form of qualitative studies or surveys as well as reviews. Two studies explored the view of lay persons on the topic. The majority of evidence pointed to ethical concerns relating to a lack of sufficient efficacy and safety data for these new technologies, with the risks of invasive procedures potentially outweighing the benefits. Additionally, concerns about potential socioeconomic consequences were raised that could further exacerbate existing socioeconomic inequalities, as well as the risk of changes to person and environment.

Conclusion: This scoping review highlights a critical shortage of ethical research on electrical and magnetic neuromodulation technologies and brain-computer interfaces for enhancement of brain function in healthy individuals, with key concerns regarding the safety, efficacy, and socio-economic impacts of neuromodulation technologies. It underscores the urgent need for integrating ethical considerations into neuroscientific research to address significant gaps and ensure equitable access and outcomes.
DOI: 10.6084/m9.figshare.26509249
title: Supplementary Material for: Neratinib Alone or in Combination with Immune Checkpoint Inhibitors with or without mTOR Inhibitors in Patients with Fibrolamellar Carcinoma

description: Introduction: Fibrolamellar carcinoma (FLC) displays upregulation of several oncogenes, including HER2, and multiple immune-suppressive mechanisms. We investigated the efficacy and safety of the pan-HER tyrosine kinase inhibitor neratinib as monotherapy (SUMMIT phase 2 basket study) or with immune checkpoint and/or mTOR inhibitors (compassionate-use program) in patients with FLC.
Methods: Patients received neratinib 240 mg/day orally in SUMMIT, or as doublet or triplet combinations with pembrolizumab 2 mg/kg intravenously every 3 weeks, nivolumab 240 mg intravenously every 2 weeks, everolimus 7.5 mg/day orally, or sunitinib 37.5 mg/day orally under compassionate use. The primary endpoint in SUMMIT was objective response rate; safety was a secondary endpoint.
Results: Fifteen patients with FLC received neratinib monotherapy in SUMMIT. The objective response rate was 5% (95% CI 0–21.8) and the disease control rate was 13.3% (95% CI 1.7–40.5). Upon progression, five had added immune checkpoint inhibitors with or without everolimus or sunitinib. Two additional patients received neratinib-based combinations outside of SUMMIT, for a total of 17 neratinib-treated patients. One patient who received neratinib plus pembrolizumab had a confirmed partial response, one treated with neratinib plus everolimus had stable disease lasting 6 months, and one who received neratinib plus pembrolizumab plus sunitinib had stable disease lasting 16 months. Grade 3/4 adverse events with neratinib monotherapy occurred in 10 (66.7%)/2 (13.3%) patients, respectively. Grade 3 adverse events with neratinib-based combinations were hyperglycemia (n = 1; neratinib plus pembrolizumab), hepatic failure, and anaphylaxis (n = 1 each, neratinib plus pembrolizumab plus everolimus). There were no grade 4 adverse events with combination therapy.
Conclusion: In patients with FLC, single-agent neratinib had limited efficacy, but clinical benefit was observed with neratinib in combination with immunotherapy and/or mTOR-targeted agents.
DOI: 10.6084/m9.figshare.26862175
title: Supplementary Material for: Hyperechoic spots in the renal medulla as a potential indicator of early gouty nephropathy

description: Introduction: To explore the causes and clinical significance of hyperechoic renal medulla observed by ultrasonography in patients with primary gout.
Methods: This study included 2107 patients with primary gout treated in the Gout Clinic of our hospital from 2016 to 2022. The clinical data and biochemical data of these patients were collected and analyzed. According to the presence or absence of punctate hyper-echogenicity in the renal medulla on ultrasound examination, the patients were divided into the hyperechoic medulla (HM) and the normal hypoechoic medulla (NM) groups, and the HM group was further divided into the partial HM (P-HM) and fulfilled-HM (F-HM) subgroups according to the distribution range of hyper-echogenicity.
Results: Among the 2107 patients with primary gout, 380 had hyperechoic renal medulla on renal ultrasound, including 106 patients with F-HM and 274 with P-HM. There were significant differences in the gout duration, urate arthropathies number, serum urate (SU) level, clinical tophi number, blood urea nitrogen (BUN), sCr, and eGFR between the HM and NM groups or between the F-HM and P-HM subgroups (P &lt; 0.05). Multivariate regression analysis showed that the presence of hyperechoic medulla was positively correlated with gout duration, urate arthropathy number, gout attack frequency, SU, and sCr. The number of clinical tophi and sCr were closely related to F-HM.
Conclusion: Ultrasound examination showed that a high medulla echo in patients with gout was often related to renal function damage. P-HM may be a transitory condition between NM and F-HM in patients with gout.
DOI: 10.6084/m9.figshare.26862322
title: Supplementary Material for: Artificial Intelligence Recognition Model Using Liquid-based Cytology Images to Discriminate Malignancy and Histological Types of Non-small-cell Lung Cancer

description: Introduction: Artificial intelligence image recognition has applications in clinical practice. The purpose of this study was to develop an automated image classification model for lung cancer cytology using a deep learning convolutional neural network (DCNN). Methods: Liquid-based cytology samples from 8 normal parenchymal (N), 22 adenocarcinoma (ADC), and 15 squamous cell carcinoma (SQCC) surgical specimens were prepared, and 45 Papanicolaou-stained slides were scanned using whole-slide imaging. The final dataset of 9,141 patches consisted of 2,737 N, 4756 ADC, and 1648 SQCC samples. Densenet-121 was used as the DCNN to classify N versus malignant (ADC+SQCC) and ADC versus SQCC images. AdamW optimizer and 5-fold cross-validation were used in the training. Results: For malignancy prediction, the sensitivity, specificity, and accuracy were 0.97, 0.85, and 0.94, respectively, in the patch-level classification, and 0.92, 0.88, and 0.91, respectively, in the case-level classification. For SQCC prediction, the sensitivity, specificity, and accuracy were 0.86, 0.91, and 0.90, respectively, in the patch-level classification and 0.73, 0.82, and 0.78, respectively, in the case-level classification. Conclusion: The DCNN model performed excellently in predicting malignancy and histological types of lung cancer. This model may be useful for predicting cytopathological diagnosis in clinical situations by reinforcing training.
DOI: 10.25790/bml0cm.161
title: Synthetic ex vivo dataset of the human hypothalamus and its subregions
DOI: 10.48670/moi-00172
title: Mediterranean Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis
DOI: 10.6084/m9.figshare.25835131
title: Magnetic and geochemical records of GZ section

description: Magnetic and geochemical records of GZ section.
DOI: 10.6084/m9.figshare.26526376.v1
title: Microbial acetate metabolism in the northwest Pacific Ocean

description: Data submitted for the manuscript "Microbial metabolism and environmental controls of acetate cycling in the northwest Pacific Ocean".<br>
DOI: 10.5281/zenodo.4292068
title: All-weather 1km land surface temperature at global scale from 2000-2020 from MODIS data

description: All-weatherLand Surface Temperature product (2000-2020): LSTs from Moderate Resolution Imaging Spectroradiometer(MODIS)/Terra have been produced. The LST data were generated by integrating multiple data from MODIS, reanalysis, and ground in situ measurements using meachine  learning method. 



The dataset is organized by year.

The data is stored in tif format.
description: The generated all-weather LST products will also be available at www.geo.cn and www.glass.umd.edu.