cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6578734
title: Bay of Plenty Climatology

description: The Bay of Plenty Climatology is a daily climatology estimated from a 25+ years (1994-2020) high-resolution (~1 km horizontal resolution) hydrodynamic hindcast of Bay of Plenty, New Zealand. This repository contains 12 files, corresponding to each month, with the 3D daily climatology for sea surface elevation, temperature, salinity, velocity (u, v) and in z-coordinates. For practicality the time units are referenced to hours since day 0 and the calendar used is a 366 day-year. For more information about available datasets please visit the project webpage at https://www.moanaproject.org/ A description of the configuration of the simulation is provided by Montaño <em>et al. </em>(2023). Montaño, M. M., Suanda, S. H., and de Souza, J. M. A. C. (2023). Modelled Coastal<br> Circulation and Lagrangian Statistics from a Large Coastal Embayment: The Case<br> of Bay of Plenty, Aotearoa New Zealand. Estuarine, Coastal and Shelf Science, 281,<br> 108212
DOI: 10.15139/s3/hjppke
title: Shoreline classification maps and ground truth data for the Neuse River Estuary, North Carolina

description: The dataset offers 2020 digital data on shoreline classification in the Neuse River Estuary, part of the biologically rich but environmentally challenged Albemarle-Pamlico estuary. It details distinct land features, natural shoreline elements, and erosion control structures. The dataset is valuable for evaluating environmental policies, pinpointing restoration sites, and assessing erosion control impacts.
DOI: 10.5281/zenodo.10447675
title: torymus_texanus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10447676
title: torymus_texanus_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23739984
title: Putting theory to the test: an integrated computational/experimental chemostat model of the Tragedy of the Commons - raw data

description: Raw data for manuscript titled: <i>Putting theory to the test: An integrated computational/experimental chemostat model of the Tragedy of the Commons. </i><br><br>Empirical data is in the excel file tocpa_masterraw.xlsx. Each tab of the excel file contains the data for one figure/analysis and are named to correspond to the figure titles in the text.Random_allSims.txt and Random_Stable.txt are products of random simulation values used to determine the best parameter fit for the model.
DOI: 10.57967/hf/1541
title: hausa_aug_lex
DOI: 10.6084/m9.figshare.24922041
title: Data S1

description: All keywords accumulated for DUF34 protein family during the comprehensive published data capture process.
DOI: 10.6084/m9.figshare.24922041.v1
title: Data S1

description: All keywords accumulated for DUF34 protein family during the comprehensive published data capture process.
DOI: 10.6084/m9.figshare.24922044
title: Data S2

description: Curated sets of tools organized by: (a) orthology-/homology-limited and phyletic patterning tools; (b) gene neighborhood; and (c) synteny tools.
DOI: 10.6084/m9.figshare.24922044.v1
title: Data S2

description: Curated sets of tools organized by: (a) orthology-/homology-limited and phyletic patterning tools; (b) gene neighborhood; and (c) synteny tools.
DOI: 10.34740/kaggle/dsv/7314805
title: Country Data
DOI: 10.6084/m9.figshare.24922047
title: Data S3

description: All curated yields of specialized corpus search tools: PubMed, EuropePMC, PubTator, Scinapse.
DOI: 10.6084/m9.figshare.24922047.v1
title: Data S3

description: All curated yields of specialized corpus search tools: PubMed, EuropePMC, PubTator, Scinapse.
DOI: 10.6084/m9.figshare.24922050
title: Data S4

description: Simple Comparison of Text-based vs. Sequence-based Publication Retrieval.
DOI: 10.6084/m9.figshare.24922050.v1
title: Data S4

description: Simple Comparison of Text-based vs. Sequence-based Publication Retrieval.
DOI: 10.6084/m9.figshare.24922056
title: Data S5

description: Publication Retrieval Method Comparison — Single-sequence vs. HMM-based PaperBLAST Methods.
DOI: 10.6084/m9.figshare.24922056.v1
title: Data S5

description: Publication Retrieval Method Comparison — Single-sequence vs. HMM-based PaperBLAST Methods.
DOI: 10.6084/m9.figshare.24922059
title: Data S6

description: Venn Diagram Data for the Comparison of the Two Major PaperBLAST Retrieval Methods.
DOI: 10.6084/m9.figshare.24922059.v1
title: Data S6

description: Venn Diagram Data for the Comparison of the Two Major PaperBLAST Retrieval Methods.
DOI: 10.5281/zenodo.10026723
title: Supplementary Material. DOLFINx: The next generation FEniCS problem solving environment.

description: Supplementary material for the paper "DOLFINx: The next generation FEniCS problem solving environment".

The snippets from the paper are licensed under the MIT License.

The FEniCSx component source code is licensed according to the licenses included in the .tar.gz file.

The Docker image contains compiled software, including the FEniCSx components, under a number of different open source licenses.
DOI: 10.6084/m9.figshare.24922062
title: Data S7

description: Publication Retrieval Method Comparison — Single-sequence vs. HMM-based vs. Idealized "QCC" Cycle Method.
DOI: 10.6084/m9.figshare.24922062.v1
title: Data S7

description: Publication Retrieval Method Comparison — Single-sequence vs. HMM-based vs. Idealized "QCC" Cycle Method.
DOI: 10.6084/m9.figshare.24922068
title: Data S8

description: Venn Diagram Data Comparing PaperBLAST Retrieval Methods to "QCC Cycle" Approach.
DOI: 10.6084/m9.figshare.24922068.v1
title: Data S8

description: Venn Diagram Data Comparing PaperBLAST Retrieval Methods to "QCC Cycle" Approach.
DOI: 10.6084/m9.figshare.24922071
title: Data S9

description: Comparison of the PaperBLAST Results of Several, Disparately Related DUF34 Homolog Sequences.
DOI: 10.6084/m9.figshare.24922071.v1
title: Data S9

description: Comparison of the PaperBLAST Results of Several, Disparately Related DUF34 Homolog Sequences.
DOI: 10.5281/zenodo.10447645
title: Midway RSS-related files backup (Results, Part 7)
DOI: 10.5281/zenodo.10447646
title: Midway RSS-related files backup (Results, Part 7)
DOI: 10.6084/m9.figshare.24922074
title: Data S10

description: Final Summary Venn Diagram of all Methods' Results Relevant to DUF34.
DOI: 10.6084/m9.figshare.24922074.v1
title: Data S10

description: Final Summary Venn Diagram of all Methods' Results Relevant to DUF34.
DOI: 10.5281/zenodo.10447651
title: Midway RSS-related files backup (Results, Part 8)
DOI: 10.5281/zenodo.10447652
title: Midway RSS-related files backup (Results, Part 8)
DOI: 10.34740/kaggle/dsv/7314859
title: world_foods
DOI: 10.34740/kaggle/dsv/7314906
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7314925
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10447697
title: RSS-NET results of MSC project (Part 1)
DOI: 10.5281/zenodo.10447698
title: RSS-NET results of MSC project (Part 1)
DOI: 10.34740/kaggle/dsv/7314957
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.34740/kaggle/dsv/7314960
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.10447726
title: Midway RSS-related files backup (Results, Part 9)
DOI: 10.5281/zenodo.10447727
title: Midway RSS-related files backup (Results, Part 9)
DOI: 10.5281/zenodo.10445551
title: Antibody Validation for Cyclical Immunofluorescence of Human Kidneys (Part 2, Figure 32)

description: This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2).
DOI: 10.5281/zenodo.10445552
title: Antibody Validation for Cyclical Immunofluorescence of Human Kidneys (Part 2, Figure 32)

description: This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2).
DOI: 10.5281/zenodo.10447779
title: Antibody Validation for Cyclical Immunofluorescence of Human Kidneys (Part 2, Figure 32)

description: This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2).
DOI: 10.5281/zenodo.10445538
title: Antibody Validation for Cyclical Immunofluorescence Microscopy of Human Kidneys (Part 1, Figures 31 and 33)

description: This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2).
DOI: 10.5281/zenodo.10445539
title: Antibody Validation for Cyclical Immunofluorescence Microscopy of Human Kidneys (Part 1, Figures 31 and 33)

description: This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2).
DOI: 10.5281/zenodo.10447724
title: Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods

description: Necessary data, scripts and saved models for "Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods" manuscript.
DOI: 10.5281/zenodo.10447725
title: Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods

description: Necessary data, scripts and saved models for "Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods" manuscript.
DOI: 10.5281/zenodo.10447635
title: Cost Analysis Results of the Generation Circuits of the Entanglement Classes of Graph States with up to 7 Qubits

description: This dataset encompasses a comprehensive analysis of entanglement classes of graph states. We have explored all locally equivalent graphs, along with every isomorphism, for each of the 45 entanglement classes associated with graph states featuring 7 qubits or fewer. The results, detailing various parameters of the quantum circuits generated for all distinct isomorphisms within each graph and local equivalence class, are stored in  CSV files.
DOI: 10.5281/zenodo.10447636
title: Cost Analysis Results of the Generation Circuits of the Entanglement Classes of Graph States with up to 7 Qubits

description: This dataset encompasses a comprehensive analysis of entanglement classes of graph states. We have explored all locally equivalent graphs, along with every isomorphism, for each of the 45 entanglement classes associated with graph states featuring 7 qubits or fewer. The results, detailing various parameters of the quantum circuits generated for all distinct isomorphisms within each graph and local equivalence class, are stored in  CSV files.
DOI: 10.5281/zenodo.10440320
title: Antibody Validation for Immunofluorescence Microscopy of Human Kidneys (Part 2, Figures 16-30)

description: This dataset includes multiplex immunofluorescence images (mostly 3+1 channels) of frozen human kidney sections that have been used to validate a panel of 27 antibodies and 1 lectin designed to define the main cellular and extracellular matrix (ECM) comparments in the normal human kidney. We have attached an excel file (Supplemental Table 1) that includes all of the experimental and (de-identified) patient metadata associated with these images with information, and comments about each of the images, the antibodies used, and the cell types and ECM compoartments identified using these antibodies. Because of the size and number of images used for these studies, we have divided this into two separate datasets (Antibody validation studies Parts 1 and 2). 

A subset of these antibodies have also been evaluated for both 2D and 3D cyclical immunofluorescence studies that have been included in separate datasets under this umbrella "community". These are identified in the "Antibodies used" tab in Supplemental Table 1 (CyCIF Cycles).
DOI: 10.5281/zenodo.10440321
title: Antibody Validation for Immunofluorescence Microscopy of Human Kidneys (Part 2, Figures 16-30)

description: This dataset includes multiplex immunofluorescence images (mostly 3+1 channels) of frozen human kidney sections that have been used to validate a panel of 27 antibodies and 1 lectin designed to define the main cellular and extracellular matrix (ECM) comparments in the normal human kidney. We have attached an excel file (Supplemental Table 1) that includes all of the experimental and (de-identified) patient metadata associated with these images with information, and comments about each of the images, the antibodies used, and the cell types and ECM compoartments identified using these antibodies. Because of the size and number of images used for these studies, we have divided this into two separate datasets (Antibody validation studies Parts 1 and 2). 

A subset of these antibodies have also been evaluated for both 2D and 3D cyclical immunofluorescence studies that have been included in separate datasets under this umbrella "community". These are identified in the "Antibodies used" tab in Supplemental Table 1 (CyCIF Cycles).
DOI: 10.5281/zenodo.10407946
title: Antibody Validation for Immunofluorescence Microscopy of Human Kidneys (Part 1, Figures 1-15)

description: This dataset includes multiplex immunofloresence images (mostly 3+1 channels) of frozen human kidney sections that have been used to validate a panel of 27 antibodies and 1 lectin designed to define the main cellular and extracellular matrix compartments in the normal human kidney. We have attached an excel file (Supplemental Table 1) that includes all of the experimental and (deidentified) patient metadata associated with these images with information and comments about each of the images, the antibodies used, and the cell types and ECM compartments identified using these antibodies. Because of the size and number of images used for these validation studies, we have divided this into two separate datasets (Antibody validation studies Parts 1 and 2). 

A subset of these antibodies have also been evaluated for both 2D and 3D cyclical immunofluoresecnce studies that have been included in separate datasets under this umbrella "community". These are identfied in the "Antibodies used" tab in Supplemental Table 1 (CyCIF Cycles).
DOI: 10.5281/zenodo.10407947
title: Antibody Validation for Immunofluorescence Microscopy of Human Kidneys (Part 1, Figures 1-15)

description: This dataset includes multiplex immunofloresence images (mostly 3+1 channels) of frozen human kidney sections that have been used to validate a panel of 27 antibodies and 1 lectin designed to define the main cellular and extracellular matrix compartments in the normal human kidney. We have attached an excel file (Supplemental Table 1) that includes all of the experimental and (deidentified) patient metadata associated with these images with information and comments about each of the images, the antibodies used, and the cell types and ECM compartments identified using these antibodies. Because of the size and number of images used for these validation studies, we have divided this into two separate datasets (Antibody validation studies Parts 1 and 2). 

A subset of these antibodies have also been evaluated for both 2D and 3D cyclical immunofluoresecnce studies that have been included in separate datasets under this umbrella "community". These are identfied in the "Antibodies used" tab in Supplemental Table 1 (CyCIF Cycles).
DOI: 10.5281/zenodo.10447734
title: Midway RSS-related files backup (Results, Part 10)
DOI: 10.5281/zenodo.10447735
title: Midway RSS-related files backup (Results, Part 10)
DOI: 10.34740/kaggle/dsv/7315037
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.34740/kaggle/dsv/7315043
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5281/zenodo.10447770
title: RSS-NET results of MSC project (Part 2)
DOI: 10.5281/zenodo.10447769
title: RSS-NET results of MSC project (Part 2)
DOI: 10.5517/ccdc.csd.cc2gfrym
title: CCDC 2277351: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Alexia Cosby, Jennifer Wacker, Luis Aguirre Quintana, Appie Peterson, Stefan G. Minasian, Rebecca J. Abergel|2023|Inorg.Chem.|62|20721|doi:10.1021/acs.inorgchem.3c02164
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.cc2gfrzn
title: CCDC 2277352: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Alexia Cosby, Jennifer Wacker, Luis Aguirre Quintana, Appie Peterson, Stefan G. Minasian, Rebecca J. Abergel|2023|Inorg.Chem.|62|20721|doi:10.1021/acs.inorgchem.3c02164
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: 10.5281/zenodo.10447871
title: chalinula_nematifera_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10447870
title: chalinula_nematifera_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10447873
title: trachelus_stipa_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10447874
title: trachelus_stipa_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10447830
title: Midway RSS-related files backup (Results, Part 12)
DOI: 10.5281/zenodo.10447831
title: Midway RSS-related files backup (Results, Part 12)
DOI: 10.6084/m9.figshare.24922098
title: Data for: Non fire-adapted dry forest of Northwestern Madagascar: escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data

description: Dataset for "Non fire-adapted dry forest of Northwestern Madagascar: escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data" by Percival et al. 2024 (PLOS ONE)This dataset includes:<code>ndvi_pnts.csv</code>: The NDVI time series for each pixel in the study area for BFAST analysis. This was used with the NBR time series to identify potential fire events. <code>nbr_pnts.csv</code>: The NBR time series for each pixel in the study area which was used with the NDVI time series to identify potential fire events.<code>YYYY_train.geojson</code>: The fire record training data for 2014, 2017, 2018, 2019, and 2021. Each training file (geojson) consisted of a binary fire-non-fire class for training the land cover classification algorithm.<code>fire_YYYY.gpkg</code>: The fire history maps that were created using the training data and Planet Imagery (downloadable from planet.com). These included a map of fires for the years 2014, 2017, 2018, 2019, and 2021.<code>aggregated_fires.gpkg:</code> A map of aggregated fires for the study site.<code>gedi_fires.gpkg</code>: The GEDI L2B data combined with the fire history data for the main set analyses on the effects of fire on forest structure.Metadata.<br>
DOI: 10.5281/zenodo.10447824
title: Midway RSS-related files backup (Results, Part 11)
DOI: 10.5281/zenodo.10447825
title: Midway RSS-related files backup (Results, Part 11)
DOI: 10.6084/m9.figshare.24922236
title: Equine IBP vs. NIBP Hypovolemia.xlsx

description: This is the raw data document used in data collection for a study comparing invasive blood pressure in the facial, transverse facial, metatarsal arteries and the thoracic aorta with non-invasive blood pressure measured at the base of the unshaved tail with a goal cuff width-to-tail circumference ratio of 0.25. Data was collected throughout anesthesia while horses underwent controlled hemorrhage in 5 mL/kg increments up to 25 mL/kg total, and then blood was returned.
DOI: 10.34740/kaggle/dsv/7315215
title: Public Opinion Russia Ukraine War (Updated Daily)