cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q2733u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-75.43939 6.27184,-75.43878 6.27018,-75.43803 6.2703,-75.43796 6.27119,-75.43849 6.27217,-75.43939 6.27184))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015111-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/113717
title: Geochemical data of the late Early Cretaceous-Miocene olivine phenocrysts and whole-rock geochemical and isotopic data of Miocene basalts in northeast China

description: Geochemical data of the late Early Cretaceous-Miocene olivine phenocrysts in basalts; whole-rock major and trace elements and Sr-Nd-Pb-Hf isotopes of the Miocene basalts, northeast China.
DOI: 10.34740/kaggle/dsv/11076407
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.15046127
title: Glucose dockings on mCherry and smURFP

description: Affinity energies and PyMOL Session (pse) files for dockings of glucose on mCherry and smURFP.

The Atoms per list are the center of the docking boxes.
DOI: 10.5281/zenodo.15046128
title: Glucose dockings on mCherry and smURFP

description: Affinity energies and PyMOL Session (pse) files for dockings of glucose on mCherry and smURFP.

The Atoms per list are the center of the docking boxes.
DOI: 10.17632/zdgmdg7p25.1
title: Highway Vehicle Surveillance Dataset (HVSD)

description: Geo-Heinz Vehicle Dataset (GHVD) is a carefully selected collection of highway monitoring videos designed to support research in vehicle detection, tracking, and intelligent transportation systems. The dataset consists of original video clips captured under different environmental conditions—sunny, nighttime, and rainy—mimicking real-world dynamic highway traffic environments. In addition to the raw videos, GHVD includes the processed result from our new Geo-Heinz Mean Corner Detection Algorithm. The result contains annotated bounding boxes, vehicle IDs, and other corner detection information from the original videos. This dataset offers researchers a robust testbed for experimenting with real-time detection and tracking algorithms and allows comparative study with traditional and deep learning–based approaches, ultimately leading to increased reproducibility and follow-on innovations in intelligent transportation systems.
DOI: 10.17632/c925tk5g77
title: Data for : Corner Detection Algorithms Evaluation

description: The Corner Detection Algorithms Evaluation Dataset (CDAED) is a well-designed dataset to evaluate corner detection algorithms. The dataset contains original data like MNIST digits, geometric structure images, and chessboard patterns, and the processed results obtained from our new Geo-Heinz Mean Corner Detection Algorithm. By showing both raw data and algorithmic output, CDAED enables researchers to quantitatively and qualitatively compare corner detection performance in controlled environments, facilitating reproducibility and improving feature detection research.
DOI: 10.17632/c925tk5g77.1
title: Data for : Corner Detection Algorithms Evaluation

description: The Corner Detection Algorithms Evaluation Dataset (CDAED) is a well-designed dataset to evaluate corner detection algorithms. The dataset contains original data like MNIST digits, geometric structure images, and chessboard patterns, and the processed results obtained from our new Geo-Heinz Mean Corner Detection Algorithm. By showing both raw data and algorithmic output, CDAED enables researchers to quantitatively and qualitatively compare corner detection performance in controlled environments, facilitating reproducibility and improving feature detection research.
DOI: 10.17632/jxzhdvf5xr.1
title: A Tectonic Map of the Caloris Basin, Mercury

description: Mapping was carried out on the 166 m/pix Mercury Dual Imaging System (MDIS) monochrome morphology mosaic, supplemented by the high incidence angle mosaics with west and east illumination.
Structure mapping was carried out on varying mapping scales to capture both fine and coarse details. Polyline shapefiles were created in ArcGIS 10.8. Vertices were placed at visible endpoints (tips) of structures or wherever changes in orientation were visible in the image data along the length of the structures.

Basin Outline: Demarks the boundary separating Caloris interior and exterior geological units. Where clearly discernible, this outline traces the basin rim. In places, the rim was not well defined and, in those instances, areas separating high-standing terrain from low-lying terrain were inferred to outline the basin.

Basin Structures: Ridges indicate the crests of, or surface breaks associated with positive-relief landforms that are linked to shortening. Graben mark the surface break of negative-relief landforms that are linked to extension.

This map was discussed in: Byrne, P. K., Klimczak, C., and Şengör, A. M. C.: The Tectonic Character of Mercury. In: Solomon, S. C., Nittler, L. R., and Anderson, B. J.: Mercury: The View after MESSENGER (Chapter 10), 249–286, 2018, Cambridge Planetary Science.
DOI: 10.34740/kaggle/dsv/11076523
title: metropolitan region’s traffic monitoring systems
DOI: 10.15468/dl.x3dk7w
title: Occurrence Download

description: A dataset containing 5336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpelimus corticinus (Gravenhorst, 1806)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5336 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015112-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7w7fccy7ky.3
title: Dataset CAUCAFall

description: CAUCAFall is a database created with the aim of recognizing human falls, where its differential feature lies in the fact that it is  created in conditions of an uncontrolled home environment, with occlusions, changes in lighting (natural, artificial, and night), variety in the clothing of the participants, movement in the background, different textures on the floor and room, variety in the angles of fall, different distances from the camera to the fall, with participants of different age, weight, height, and even different dominant leg, which contributes to the real progress of research in the recognition of falls. In addition, the proposed database is the only one that contains segmentation labels in each of its images, which serve to be able to implement human fall recognition methods by means of YOLO detectors.

Subjects simulated 5 types of falls and 5 types of activities of daily living (ADLs). The data included forward falls, backward falls, falls to the left, falls to the right, and falls arising from sitting. The ADLs performed by the participants are: walking, hopping, picking up an object, sitting, and finally kneeling. Frames that recorded human falls were labeled as "fall" and ADLs were labeled as "no-fall".

The data are organized into 10 main directories corresponding to the subjects, each of which contains 10 folders with the different activities performed by the participants, and in each folder there is a video of the action in .avi format, the images of the actions in .png format, and each of the frame segmentation labels in .txt format.
DOI: 10.17632/7w7fccy7ky.4
title: Dataset CAUCAFall

description: CAUCAFall is a database created with the aim of recognizing human falls, where its differential feature lies in the fact that it is  created in conditions of an uncontrolled home environment, with occlusions, changes in lighting (natural, artificial, and night), variety in the clothing of the participants, movement in the background, different textures on the floor and room, variety in the angles of fall, different distances from the camera to the fall, with participants of different age, weight, height, and even different dominant leg, which contributes to the real progress of research in the recognition of falls. In addition, the proposed database is the only one that contains segmentation labels in each of its images, which serve to be able to implement human fall recognition methods by means of YOLO detectors.

Subjects simulated 5 types of falls and 5 types of activities of daily living (ADLs). The data included forward falls, backward falls, falls to the left, falls to the right, and falls arising from sitting. The ADLs performed by the participants are: walking, hopping, picking up an object, sitting, and finally kneeling. Frames that recorded human falls were labeled as "fall" and ADLs were labeled as "no-fall".

The data are organized into 10 main directories corresponding to the subjects, each of which contains 10 folders with the different activities performed by the participants, and in each folder there is a video of the action in .avi format, the images of the actions in .png format, and each of the frame segmentation labels in .txt format.
DOI: 10.17632/7w7fccy7ky.5
title: Dataset CAUCAFall

description: CAUCAFall is a database created with the aim of recognizing human falls, where its differential feature lies in the fact that it is created in conditions of an uncontrolled home environment, with occlusions, changes in lighting (natural, artificial, and night), variety in the clothing of the participants, movement in the background, different textures on the floor and room, variety in the angles of fall, different distances from the camera to the fall, with participants of different age, weight, height, and even different dominant leg, which contributes to the real progress of research in the recognition of falls. In addition, the proposed database is the only one that contains segmentation labels in each of its images, which serve to be able to implement human fall recognition methods by means of YOLO detectors.

Subjects simulated 5 types of falls and 5 types of activities of daily living (ADLs). The data included forward falls, backward falls, falls to the left, falls to the right, and falls arising from sitting. The ADLs performed by the participants are: walking, hopping, picking up an object, sitting, and finally kneeling. Frames that recorded human falls were labeled as "fall" and ADLs were labeled as "no-fall".

The data are organized into 10 main directories corresponding to the subjects, each of which contains 10 folders with the different activities performed by the participants, and in each folder there is a video of the action in .avi format, the images of the actions in .png format, and each of the frame segmentation labels in .txt format.
DOI: 10.17632/wn68x9hrk3.1
title: Psoriasis CKD ACEI/ARB/SGLT2I Supplemental Table 1

description: Supplemental Table 1. Baseline characteristics of the psoriasis cohort and non-psoriasis (control) cohort before and after propensity score matching (PSM). Bold standard difference (std diff) indicates std diff &gt; 0.1. A std diff &lt; 0.1 was deemed satisfactory matching.
DOI: 10.48364/isimip.481302.2
title: ISIMIP2b Simulation Data from the Regional Water Sector

description: This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 8 regional water models: HBV-CMA (Wen et al. 2020), HYPE (Lindstrom et al. 2010, Pechlivanidis et al. 2015, Hundecha et al. 2016, Andersson et al. 2017), SWAT-CMA (https://swat.tamu.edu/software/arcswat/, Wen et al. 2020), SWAT-IITGN (https://swat.tamu.edu, Arnold et al. 2007), SWAT-VUB, mHM (Samaniego et al. 2010, Rakovec et al. 2015, Kumar et al. 2013), SWIM-NVE (Huang et al. 2018), SWIM-PIK (https://gitlab.pik-potsdam.de/swim/swim), VIC-CMA (https://vic.readthedocs.io, Wen et al. 2020), VIC-IITGN (Liang et al. 1994, https://vic.readthedocs.io/en/master/), VIC-HHU, and VIC-NVE (Huang et al. 2018).<br>Version 1.1 adds the datasets for HBV-CMA, SWAT-CMA, VIC-CMA, as well as some missing files for SWIM-PIK.<br>Version 1.2 adds the datasets for VIC-HHU.
description: The ISIMIP2b regional water outputs are based on simulations from regional water models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.
DOI: 10.17632/nkfw9k2chm.1
title: Association between acneiform eruption grade and survival outcomes in metastatic colorectal cancer patients treated with epidermal growth factor receptor inhibitors

description: Supplementary figures for Ong et al. Association between acneiform eruption grade and survival outcomes in metastatic colorectal cancer patients treated with epidermal growth factor receptor inhibitors.

Supplementary figure 1: Progression-free survival in mCRC patients on EGFRis.
Supplementary figure 1 legend: EGFRis, epidermal growth factor receptor inhibitors; g0, grade 0 rash; g1, grade 1 rash; g2/g3, grade 2/grade 3 rash; mCRC, metastatic colorectal cancer
Median progression-free survival for grades 0, 1, and 2/3 rashes were 3.0, 5.5, and 5.1 months, respectively (p&lt;0.001).

Supplementary figure 2. Overall survival in mCRC patients on EGFRis.
Supplementary figure 2 legend: EGFRis, epidermal growth factor receptor inhibitors; g0, grade 0 rash; g1, grade 1 rash; g2/g3, grade 2/grade 3 rash; mCRC, metastatic colorectal cancer
Median overall survival for grades 0, 1, and 2/3 rashes were 6.8, 18.0, and 18.1 months, respectively (p&lt;0.001).
DOI: 10.15468/dl.hespnk
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Georgia",
 "TaxonKey is Coenagrion ornatum (Selys, 1850)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015114-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48364/isimip.481302.1
title: ISIMIP2b Simulation Data from the Regional Water Sector

description: This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 8 regional water models: HBV-CMA (Wen et al. 2020), HYPE (Lindstrom et al. 2010, Pechlivanidis et al. 2015, Hundecha et al. 2016, Andersson et al. 2017), SWAT-CMA (https://swat.tamu.edu/software/arcswat/, Wen et al. 2020), SWAT-IITGN (https://swat.tamu.edu, Arnold et al. 2007), SWAT-VUB, mHM (Samaniego et al. 2010, Rakovec et al. 2015, Kumar et al. 2013), SWIM-NVE (Huang et al. 2018), SWIM-PIK (https://gitlab.pik-potsdam.de/swim/swim), VIC-CMA (https://vic.readthedocs.io, Wen et al. 2020), VIC-IITGN (Liang et al. 1994, https://vic.readthedocs.io/en/master/) and VIC-NVE (Huang et al. 2018).<br>Version 1.1. adds the datasets for HBV-CMA, SWAT-CMA, VIC-CMA, as well as some missing files for SWIM-PIK.
description: The ISIMIP2b regional water outputs are based on simulations from regional water models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.
DOI: 10.17632/6x5czhchtf.1
title: Fig2-5_Tab1-2_for Analysis of Spread of COVID-19

description: This data includes:
(a) Daily reported numbers of COVID-19 cases in the US from early 2020 to May 2022.
(b) Determine the parameters and coefficients in the mathematical model l-i AIRv, an epidemic model developed from l-i AIR model, for analyzing the spread of COVID-19 in the presence of COVID-19 vaccinations. 
(c) Daily COVID-19 case counts with and without COVID-19 vaccination calculated from the l-i AIRv epidemic model
(d) Tables, Figures and related programs written in Excel. These tables and figures are used for the manuscript "Analysis of Spread of COVID-19 in the United States with and without vaccination using the l-i AIRv Epidemiological Model"
DOI: 10.60656/be1de5c854aa4bb7
title: Custom collection of ice water content, and liquid water content data from Ny-Ålesund between 12 Jun and 31 Dec 2019
DOI: 10.60656/12de08c2ee7f4902
title: Custom collection of ice water content, and liquid water content data from Ny-Ålesund between 12 Jun and 31 Dec 2019
DOI: 10.17632/brj488xgky.1
title: Cryo-EM structure and polar assembly of the PS2 S-layer of Corynebacterium glutamicum

description: SUPPORTING DATA:
 
Data from the manuscript of Sogues et al., "Cryo-EM structure and polar assembly of the PS2 S-layer of Corynebacterium glutamicum”.

- Alignments/
 - Corynebacterium_species.aln
 Alignment of RNA polymerase subunit beta protein sequences for all Corynebacterium species/strains, used for the reconstruction of a species phylogeny of Corynebacterium.

 - Corynebacterium_species_only_PS2.aln
 Alignment of RNA polymerase subunit beta protein sequences for Corynebacterium species/strains that code for protein PS2, used for the reconstruction of a species phylogeny of Corynebacterium.

 - PS2_protein.aln
 Alignment of protein PS2 sequences.


- Phylogenies/
 - Corynebacterium_species.treefile
 Species phylogeny of Corynebacterium.

 - Corynebacterium_species_only_PS2.treefile
 Species phylogeny of Corynebacteria that code for protein PS2.

 - PS2_protein.treefiles
 Protein phylogeny of PS2.

- Corynebacterium_PS2.xlsx
Table that contains the Corynebacterium species/strains analysed, and the protein_ids of the identified PS2 proteins in the corresponding genomes.

- PS2.hmm
HMM profile used for the identification of PS2 proteins in the Corynebacterium genomes.
DOI: 10.15468/dl.uux5qt
title: Occurrence Download

description: A dataset containing 5122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Chrysomelidae"
 ]
}

 The dataset includes 5122 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015116-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwzq2h
title: Occurrence Download

description: A dataset containing 186412 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terpsiphone paradisi (Linnaeus, 1758)"
 ]
}

 The dataset includes 186412 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015082-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvbesq
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Protoreaster lincki"
 ]
}

 The dataset includes 390 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004555-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyx24y
title: Occurrence Download

description: A dataset containing 18074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((6.61757 0.4507,6.45274 0.3734,6.42107 0.09961,6.50116 -0.05312,6.6036 -0.04846,6.74422 0.08936,6.87274 0.28586,6.83083 0.42742,6.61757 0.4507))"
 ]
}

 The dataset includes 18074 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029981-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zunm8s
title: Occurrence Download

description: A dataset containing 1128919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciliophora"
 ]
}

 The dataset includes 1128919 records from 964 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029973-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13691959
title: Single scattering albedo dataset for Hammond et al. 2024

description: Single scattering albedo (w) for surface types listed in Hammond et al. 2024. First column is wavelength in nm, second column is w.

The script ssa_to_albedo.py shows how to convert this data to the spherical reflectance or geometric albedo. It can be converted to other quantities following Hapke 2012 (Theory of Reflectance and Emittance Spectroscopy), summarised in Hammond et al. 2024.

This dataset utilises spectra acquired by Raymond E. Arvidson, Melinda D. Dyar, Bethany L. Ehlmann, William H. Farrand, George Mathew, Jack Mustard, Carle M. Pieters, Hiroshi Takeda, and the Planetary Geosciences Lab (PSI) with the NASA RELAB facility at Brown University.
DOI: 10.5281/zenodo.13691960
title: Single scattering albedo dataset for Hammond et al. 2024

description: Single scattering albedo (w) for surface types listed in Hammond et al. 2024. First column is wavelength in nm, second column is w.

Can be converted to r_dh, r_s, A_B, or A_G following Hapke 2012 (THEORY OF REFLECTANCE AND EMITTANCE SPECTROSCOPY), summarised in Hammond et al. 2024

This dataset utilises spectra acquired by Raymond E. Arvidson, Melinda D. Dyar, Bethany L. Ehlmann, William H. Farrand, George Mathew, Jack Mustard, Carle M. Pieters, Hiroshi Takeda, and the Planetary Geosciences Lab (PSI) with the NASA RELAB facility at Brown University.
DOI: 10.5281/zenodo.14017134
title: Single scattering albedo dataset for Hammond et al. 2024

description: Single scattering albedo (w) for surface types listed in Hammond et al. 2024. First column is wavelength in nm, second column is w.

The script ssa_to_albedo.py shows how to convert this data to the spherical reflectance or geometric albedo. It can be converted to other quantities following Hapke 2012 (Theory of Reflectance and Emittance Spectroscopy), summarised in Hammond et al. 2024.

This dataset utilises spectra acquired by Raymond E. Arvidson, Melinda D. Dyar, Bethany L. Ehlmann, William H. Farrand, George Mathew, Jack Mustard, Carle M. Pieters, Hiroshi Takeda, and the Planetary Geosciences Lab (PSI) with the NASA RELAB facility at Brown University.
DOI: 10.15468/dl.q3aajt
title: Occurrence Download

description: A dataset containing 47340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus canariensis Willd."
 ]
}

 The dataset includes 47340 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029982-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/3tn9-jjg7
title: Measurement of Heavy metals at Neuglobsow

description: Measurement of Heavy metals at Neuglobsow
DOI: 10.48597/6g2e-86dm
title: Measurement of Heavy metals at Waldhof

description: Measurement of Heavy metals at Waldhof
DOI: 10.48597/7ych-jmrr
title: Measurement of Heavy metals at Schauinsland

description: Measurement of Heavy metals at Schauinsland
DOI: 10.48597/teny-kp5y
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/8up9-z4z4
title: Measurement of POPs (persistent organic pollutants) at Schauinsland

description: Measurement of POPs (persistent organic pollutants) at Schauinsland
DOI: 10.48597/3z6k-xqm9
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/7g8w-zx44
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/gvc7-djsf
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke