cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dbh93b6vp8.1
title: Photovoltaic Power Production Dataset

description: Short description of the two Excel Files:

1. PV Plants Datasets: PV production data from 9 PV plants situated in various regions of Portugal as provided from the non-profit organisation, Coopérnico. Data are presented in separate excel sheets, one for each PV plant, named under its serial number. The variables listed in each case are (a) Date (hour, day, month and year), (b) Produced Energy in kWh, (c) Specific Energy in kWh/kWp and (d) CO2 Avoided in tons.

2. PV Plants Metadata: Information on the aforementioned 9 PV plants that includes for each plant (a) PV Serial Number, (b) Location, (c)	Latitude, (d) Longitude, (e)	From date (starting date of data), (f) To date	(end date of data), (g) Installed Power (kWp) and (h) Connection Power (kWn).
DOI: 10.17632/dbh93b6vp8.2
title: Photovoltaic Power Production Dataset

description: Short description of the two Excel Files:

1. PV Plants Datasets: PV production data from 9 PV plants situated in various regions of Portugal as provided from the non-profit organisation, Coopérnico. Data are presented in separate excel sheets, one for each PV plant, named under its serial number. The variables listed in each case are (a) Date (hour, day, month and year), (b) Produced Energy in kWh, (c) Specific Energy in kWh/kWp and (d) CO2 Avoided in tons.

2. PV Plants Metadata: Information on the aforementioned 9 PV plants that includes for each plant (a) PV Serial Number, (b) Location, (c) Latitude, (d) Longitude, (e) From date (starting date of data), (f) To date (end date of data), (g) Installed Power (kWp) and (h) Connection Power (kWn).
DOI: 10.17632/dbh93b6vp8.3
title: Photovoltaic Power Production Dataset

description: Short description of the two Excel Files:

1. PV Plants Datasets: PV production data from 9 PV plants situated in various regions of Portugal as provided from the non-profit organisation, Coopérnico. Data are presented in separate excel sheets, one for each PV plant, named under its serial number. The variables listed in each case are (a) Date (hour, day, month and year), (b) Produced Energy in kWh, (c) Specific Energy in kWh/kWp and (d) CO2 Avoided in tons.

2. PV Plants Metadata: Information on the aforementioned 9 PV plants that includes for each plant (a) PV Serial Number, (b) Location, (c) Latitude, (d) Longitude, (e) From date (starting date of data), (f) To date (end date of data), (g) Installed Power (kWp) and (h) Connection Power (kWn).
DOI: 10.48670/mds-00356
title: Black Sea Physics Reanalysis
DOI: 10.5284/1126126
title: Site Data from an Archaeological Evaluation at Viaduct Hill, Hayle, Cornwall, 2021

description: This collection comprises site photographs, GIS data and scanned site records from an archaeological evaluation undertaken by ISCA Archaeology between May and June 2021 at land of the project Viaduct Hill, Hayle, Cornwall. The evaluation trenches were located to target several geophysical anomalies as well as a representative sample of the proposed development area and identified several archaeological features that included a possible circular enclosure, linear ditches and three postholes.
DOI: 10.5284/1126173
title: Site Data from an Archaeological Watching Brief at South Crofty Mine, Pool, Redruth, Cornwall, 2021

description: This collection comprises site photographs, GIS data and scanned site records from an archaeological watching brief carried out at South Crofty Mine by ISCA Archaeology between June and October 2021. Several potential mine shafts were recorded as being within the footprint of the new development site, but none were observed.
DOI: 10.48670/mds-00357
title: Black Sea Waves Reanalysis
DOI: 10.5281/zenodo.12647174
title: Off-Grid Ultrasound Imaging by Stochastic Optimization

description: These are the data files used in the paper "Off-Grid Ultrasound Imaging by Stochastic Optimization".

The code for the paper can be found in the corresponding github repository.




File name
Description
Transmit scheme
Transducer


L11-5v_carotid1.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions and 21 plane wave transmissions.
Verasonics L11-5V


L11-5v_carotid2.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions and 21 plane wave transmissions.
Verasonics L11-5V


L11-5v_carotid3.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions.
Philips S5-1


S5-1_cirs.hdf5
Acquisition of the CIRS-040 phantom in the low attenuation zone.
80 synthetic aperture transmissions and 21 plane wave transmissions.
Philips S5-1


cirs_simulated.hdf5
Simulated data similar to CIRS-040 phantom.
3 synthetic aperture transmissions.
Similar to Philips S5-1




A description and unit for the datasets in these files is provided in the dataset attributes.
DOI: 10.5281/zenodo.12647175
title: Off-Grid Ultrasound Imaging by Stochastic Optimization

description: These are the data files used in the paper "Off-Grid Ultrasound Imaging by Stochastic Optimization".

The code for the paper can be found in the corresponding github repository.




File name
Description
Transmit scheme
Transducer


L11-5v_carotid_cross_0.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions.
Verasonics L11-5V


L11-5v_carotid_cross_1.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions and 21 plane wave transmissions.
Verasonics L11-5V


S5-1_cardiac.hdf5
Cardiac acquisition (apical view).
21 diverging wave transmissions.
Philips S5-1


S5-1_phantom.hdf5
Acquisition of the CIRS-040 phantom in the low attenuation zone.
80 synthetic aperture transmissions and 21 plane wave transmissions.
Philips S5-1


S5-1_phantom_highattenuation.hdf5
Acquisition of the CIRS-040 phantom in the high attenuation zone.
80 synthetic aperture transmissions and 21 plane wave transmissions.
Philips S5-1




A description and unit for the datasets in these files is provided in the dataset attributes.
DOI: 10.5281/zenodo.14925758
title: Off-Grid Ultrasound Imaging by Stochastic Optimization

description: These are the data files used in the paper "Off-Grid Ultrasound Imaging by Stochastic Optimization".

The code for the paper can be found in the corresponding github repository.




File name
Description
Transmit scheme
Transducer


L11-5v_carotid1.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions and 21 plane wave transmissions.
Verasonics L11-5V


L11-5v_carotid2.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions and 21 plane wave transmissions.
Verasonics L11-5V


L11-5v_carotid3.hdf5
Crossectional view of a carotid artery.
128 synthetic aperture transmissions.
Philips S5-1


S5-1_cirs.hdf5
Acquisition of the CIRS-040 phantom in the low attenuation zone.
80 synthetic aperture transmissions and 21 plane wave transmissions.
Philips S5-1


cirs_simulated.hdf5
Simulated data similar to CIRS-040 phantom.
3 synthetic aperture transmissions.
Similar to Philips S5-1




A description and unit for the datasets in these files is provided in the dataset attributes.
DOI: 10.48670/mds-00358
title: Mediterranean Sea Biogeochemistry Analysis and Forecast
DOI: 10.48670/mds-00359
title: Mediterranean Sea Physics Analysis and Forecast
DOI: 10.6082/uchicago.14633
title: NCES Early Childhood Longitudinal Study (ECLS)

description: Files containing information regarding: Child attitudes and beliefs, Home activities, Instructional activities and supports, School characterists policies and practices, School-family connections, Social and behavioral development, Transition to kindergarten for listed years. Data from 1998-99, 2010-11, 2011, 2012, 2016 was collected. Files included zip files and pdfs.
DOI: 10.5284/1125873
title: Digital Archive from an Archaeological Evaluation at Riverside Way, Rotherham, South Yorkshire, October 2023

description: This collection consists of images, spreadsheets, site record data, and a report from an archaeological evaluation by MAP Archaeological Practice Ltd at land west of Riverside Way, Rotherham, South Yorkshire, in October 2023. The Trial Trenching identified late 19th and 20th century features including brick walls, concrete, cinder and cobble surfaces, part of a rail line or siding, and a number of made ground deposits.
DOI: 10.5281/zenodo.14925884
title: amphilius_uranoscopus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925885
title: amphilius_uranoscopus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925821
title: FESOM2 meshes: F12

description: FESOM2 mesh with a resolution that gradually increases toward the poles, mimicking Mercator meshes. The resolution at the equator is 10 km, with a maximum resolution of 4 km. The resolution is also increased in major straits (Baltic: 4 km, Red Sea: 10 km, Nares Strait: 4 km, Gibraltar: 4 km).

Vertices: 8852366, Triangles: 17628297

Mesh is generated with JIGSAW-GEO

To reproduce the plot, you need pyfesom2 installed. The resolution is shown according to Danilov (2022).
DOI: 10.5281/zenodo.14925822
title: FESOM2 meshes: F12

description: FESOM2 mesh with a resolution that gradually increases toward the poles, mimicking Mercator meshes. The resolution at the equator is 10 km, with a maximum resolution of 4 km. The resolution is also increased in major straits (Baltic: 4 km, Red Sea: 10 km, Nares Strait: 4 km, Gibraltar: 4 km).

Vertices: 8852366, Triangles: 17628297

Mesh is generated with JIGSAW-GEO

To reproduce the plot, you need pyfesom2 installed. The resolution is shown according to Danilov (2022).
DOI: 10.5066/p9ijeda2
title: Horizontal-to-Vertical Spectral Ratio (HVSR) Measurements and Depth-to-Bedrock Estimates in the Cattaraugus Creek Valley between Springville and Arcade in Erie, Cattaraugus, and Wyoming Counties, New York, 2019-2023

description: This data release contains 43 horizontal-to-vertical spectral ratio (HVSR) seismic measurements in Erie, Cattaraugus, and Wyoming Counties, New York collected between 2019 and 2023, in cooperation with the New York State Department of Environmental Conservation. The HVSR passive seismic method (Lane and others, 2008; Fairchild and others, 2013) is a non-invasive and cost-effective technique for estimating the thickness of unconsolidated deposits and depth-to-bedrock. This technique uses a single broadband three-component (x, y, and z directions) seismometer to record ambient seismic noise. The ratio of the averaged horizontal (x, y) to vertical (z) frequency spectrum is used to produce a spectral ratio curve and determine a site’s peak resonance frequency. This frequency can be empirically related to sediment thickness using an average local sediment shear-wave velocity or through a power-law regression of peak resonance frequency versus known depths to bedrock (Ibs-von Seht and Wohlenberg, 1999; Lane and others, 2008; Chandler and Lively, 2014; Johnson and Lane, 2016). Data were collected at each site for 30 minutes using a Tromino Model TEP-3C three-component seismometer. Raw and processed HVSR data for each measurement are presented in the attached files. The HVSR data-collection sites are designated by a county sequential numbering systems (EHVSR1, EHVSR2, EHVSR3, etc.; where “E” indicates Erie County, “CT” indicates Cattaraugus County, and “WY” indicates Wyoming County).
DOI: 10.6073/pasta/02b67b374c052132c0f80a3934d7b1a6
title: Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) breast feather total mercury concentrations from the Florida Everglades, Florida, USA: breeding seasons 2016 - 2018

description: This dataset was used to determine hydrologic parameters influencing Cape Sable Seaside Sparrow (CSSS) mercury exposure and potential mercury effects on their reproductive success in the Florida Everglades. We collected breast feathers for total mercury determination from juvenile and adult CSSS during (or shortly after) three breeding seasons (March 1 to July 31) and monitored the same individuals' breeding performance (mate status, number of nest attempts, number of successful nest attempts, total productivity of nests, clutch size, total count of eggs, and hatch success). Hydrologic parameters (average water depths, drought length, water recession rate, and hydroperiod) were estimated using the Everglades Depth Estimation Network and in situ depth measurements. Data collection is complete.
DOI: 10.5281/zenodo.14925910
title: ancharius_fuscus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925911
title: ancharius_fuscus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925924
title: austroglanis_barnardi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925925
title: austroglanis_barnardi_decontaminated_FSCR.fasta.gz
DOI: 10.6073/pasta/3f2b1f0a71c8ddf5240fe654b173b71a
title: Stable oxygen isotope ratios of water (H2O-d18O) from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2019-ongoing

description: Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods, and analyzed for delta 18O (ratio of oxygen-18 to oxygen-16) to use in mixing models for source water contribution.
DOI: 10.15161/oar.it/212304
title: Carta Geologica d'Italia alla scala 1:50.000, F. 361 Chieti

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1997 e il 2001) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/212305
title: Carta Geologica d'Italia alla scala 1:50.000, F. 361 Chieti

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1997 e il 2001) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.18715/ipgp.2024.lycv4gsa
title: Silicate melt viscosity database for gpvisc

description: Overall description This document is the silicate melt viscosity database used to calibrate the machine learning model gpvisc (Le Losq et al., 2025, https://doi.org/10.1016/j.epsl.2025.119287). It is a compilation of most of the existing experimental data about silicate melt viscosities. All compositional data is expressed in mol% and normalized to 100, P in GPa, T in K, and viscosity is log10 viscosity expressed in Pa.s. Sheet description This xlsx file is composed of three sheets: - lr represents the low pressure (1 atm) dataset - hr represents the high pressure (&gt;1 atm) dataset - References is the list of all publications used in both lr and hr datasets All sheets are also available independently in csv format This work was supported by the Data Intelligence Institute of Paris (diiP) and IdEx Université Paris Cité (ANR-18-IdEx-0001), and by the LabEx UnivEarthS (ANR-10-LABX-0023 and ANR-18-IDEX-0001).
DOI: 10.6084/m9.figshare.28473857
title: Supplemental files: videos, code, tables, data

description: Supplemental data, including videos, tables, and code
DOI: 10.6084/m9.figshare.28473857.v1
title: Supplemental files: videos, code, tables, data

description: Supplemental data, including videos, tables, and code
DOI: 10.5284/1126706
title: Data from a Trial Trenching at Halse Copse Farm, Northamptonshire, 2020-2021 (HS2 Phase One)

description: This collection comprises of text data, images, spreadsheets and site records from a trial trench evaluation carried out by Connect Archaeology at Halse Copse Farm, Northamptonshire between August and October 2020. While no artefactual material was observed or recovered during excavation, post-medieval archaeological features were identified and recorded. The digital archive for Halse Copse Farm may prove valuable for any future developments in the area.
DOI: 10.6084/m9.figshare.27940313
title: Immune Profiling Among Colorectal Cancer Subtypes Using Dependent Mixture Models

description: Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this article, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18–45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains poorly understood. We work toward filling this gap by identifying homogeneous T cell sub-populations that show significantly distinct characteristics across the two tumor types, and identifying others that are shared between EOCRC and LOCRC. We develop dependent finite mixture models where immune subtypes enriched under a specific condition are characterized by terms in the mixture model with common atoms but distinct weights across conditions, whereas common subtypes are characterized by sharing both atoms and relative weights. The proposed model facilitates the desired comparison across conditions by introducing highly structured multi-layer Dirichlet priors. We illustrate inference with simulation studies and data examples. Results identify EO- and LO-enriched T cells subtypes whose biomarkers are found to be linked to mechanisms of tumor progression, and potentially motivate insights into treatment of CRC. Code implementing the proposed method is available at: https://github.com/YunshanDYS/SASCcode. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27940313.v2
title: Immune Profiling Among Colorectal Cancer Subtypes Using Dependent Mixture Models

description: Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this article, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18–45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains poorly understood. We work toward filling this gap by identifying homogeneous T cell sub-populations that show significantly distinct characteristics across the two tumor types, and identifying others that are shared between EOCRC and LOCRC. We develop dependent finite mixture models where immune subtypes enriched under a specific condition are characterized by terms in the mixture model with common atoms but distinct weights across conditions, whereas common subtypes are characterized by sharing both atoms and relative weights. The proposed model facilitates the desired comparison across conditions by introducing highly structured multi-layer Dirichlet priors. We illustrate inference with simulation studies and data examples. Results identify EO- and LO-enriched T cells subtypes whose biomarkers are found to be linked to mechanisms of tumor progression, and potentially motivate insights into treatment of CRC. Code implementing the proposed method is available at: https://github.com/YunshanDYS/SASCcode. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27940313.v1
title: Immune Profiling among Colorectal Cancer Subtypes using Dependent Mixture Models

description: Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this paper, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18-45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains poorly understood. We work towards filling this gap by identifying homogeneous T cell sub-populations that show significantly distinct characteristics across the two tumor types, and identifying others that are shared between EOCRC and LOCRC. We develop dependent finite mixture models where immune subtypes enriched under a specific condition are characterized by terms in the mixture model with common atoms but distinct weights across conditions, whereas common subtypes are characterized by sharing both atoms and relative weights. The proposed model facilitates the desired comparison across conditions by introducing highly structured multi-layer Dirichlet priors. We illustrate inference with simulation studies and data examples. Results identify EO- and LO-enriched T cells subtypes whose biomarkers are found to be linked to mechanisms of tumor progression, and potentially motivate insights into treatment of CRC. Code implementing the proposed method is available at: https://github.com/YunshanDYS/SASCcode.
DOI: 10.6084/m9.figshare.28485953
title: Multi-dimensional domain generalization with low-rank structures

description: In conventional statistical and machine learning methods, it is typically assumed that the test data are identically distributed with the training data. However, this assumption does not always hold, especially in applications where the target population are not well-represented in the training data. This is a notable issue in health-related studies, where specific ethnic populations may be underrepresented, posing a significant challenge for researchers aiming to make statistical inferences about these minority groups. In this work, we present a novel approach to addressing this challenge in linear regression models. We organize the model parameters for all the sub-populations into a tensor. By studying a structured tensor completion problem, we can achieve robust domain generalization, i.e., learning about sub-populations with limited or no available data. Our method novelly leverages the structure of group labels and it can produce more reliable and interpretable generalization results. We establish rigorous theoretical guarantees for the proposed method and demonstrate its minimax optimality. To validate the effectiveness of our approach, we conduct extensive numerical experiments and a real data study focused on diabetes prediction for multiple subgroups, comparing our results with those obtained using other existing methods.
DOI: 10.21942/uva.23943957.v1
title: Tiled version of GEBCO sub ice topo 2023

description: To ensure usability of the Global Bathymetric Model (GEBCO 2023) across all OS platforms in the TABS R-package, without dependencies of external software, a tiled version has been generated.
DOI: 10.17909/hfg7-8j02
title: The MIRI Deep Imaging Survey (MIDIS)
DOI: 10.5281/zenodo.14925957
title: austroglanis_gilli_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14925958
title: austroglanis_gilli_decontaminated_FSCR.fasta.gz
DOI: 10.5517/ccdc.csd.cc2gs5zf
title: CCDC 2287365: Experimental Crystal Structure Determination

description: Related Article: Hao Liang, Lorenzo D. Battistoni, Sergei Tcyrulnikov, Christophe Allais, Robert A. Singer, James P. Morken|2025|J.Am.Chem.Soc.|147|5560|doi:10.1021/jacs.4c16020
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gsx9h
title: CCDC 2288057: Experimental Crystal Structure Determination

description: Related Article: Mohammad Reza Yousefshahi, Abdollah Neshat, Elham Tahmasebi, Vaclav Eigner, Michal Dusek, Farzaneh Osanlou|2025|New J.Chem.|49|3328|doi:10.1039/D4NJ05260A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.