cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27909002
title: Efficacy and safety analysis of vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs) in the treatment of osteosarcoma: a systematic review and meta-analysis

description: Osteosarcoma is a rare and aggressive bone cancer, with targeted therapy using VEGFR-TKIs (Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitors) emerging as a promising treatment option. This meta-analysis evaluated the efficacy and safety of VEGFR-TKIs in osteosarcoma treatment, analyzing studies from PubMed, Embase, Web of Science, and Cochrane databases until 18 September 2023, involving 14 trials with 447 patients. Results indicated that monotherapy with VEGFR-TKIs had an objective response rate(ORR) of 16% (95% CI = 9–24%) and a disease control rate(DCR) of 65% (95% CI = 57–73%). The average progression-free survival(PFS) was 4.27 months(95% CI = 3.21–5.34), with overall survival(OS) at 9.26 months(95% CI = 7.75–10.77). Combined treatments led to an ORR of 7% (95% CI = 2–12%) and a DCR of 71% (95% CI = 54–88%), with PFS of 5.62 months(95% CI = 3.57–7.74) and OS of 11.84 months(95% CI = 9.26–14.43). Treatment-related adverse events occurred in 83% (95% CI = 74–92%), with severe events in 32% (95% CI = 3–61%). In conclusion, VEGFR-TKIs demonstrate effectiveness and tolerability in osteosarcoma treatment, providing significant disease control and survival advantages despite notable adverse event risks. PROSPERO (CRD42024579648)
DOI: 10.6084/m9.figshare.27909002.v1
title: Efficacy and safety analysis of vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs) in the treatment of osteosarcoma: a systematic review and meta-analysis

description: Osteosarcoma is a rare and aggressive bone cancer, with targeted therapy using VEGFR-TKIs (Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitors) emerging as a promising treatment option. This meta-analysis evaluated the efficacy and safety of VEGFR-TKIs in osteosarcoma treatment, analyzing studies from PubMed, Embase, Web of Science, and Cochrane databases until 18 September 2023, involving 14 trials with 447 patients. Results indicated that monotherapy with VEGFR-TKIs had an objective response rate(ORR) of 16% (95% CI = 9–24%) and a disease control rate(DCR) of 65% (95% CI = 57–73%). The average progression-free survival(PFS) was 4.27 months(95% CI = 3.21–5.34), with overall survival(OS) at 9.26 months(95% CI = 7.75–10.77). Combined treatments led to an ORR of 7% (95% CI = 2–12%) and a DCR of 71% (95% CI = 54–88%), with PFS of 5.62 months(95% CI = 3.57–7.74) and OS of 11.84 months(95% CI = 9.26–14.43). Treatment-related adverse events occurred in 83% (95% CI = 74–92%), with severe events in 32% (95% CI = 3–61%). In conclusion, VEGFR-TKIs demonstrate effectiveness and tolerability in osteosarcoma treatment, providing significant disease control and survival advantages despite notable adverse event risks. PROSPERO (CRD42024579648)
DOI: 10.6084/m9.figshare.25243147
title: Raw data and Python script

description: Raw data and Python script
DOI: 10.6084/m9.figshare.27168549
title: Lactobacillus reuteri ZJ617 attenuates metabolic syndrome via microbiota-derived spermidine

description: Lactobacillus reuteri ZJ617 attenuates metabolic syndrome via microbiota-derived spermidine
DOI: 10.6084/m9.figshare.27168549.v1
title: Lactobacillus reuteri ZJ617 attenuates metabolic syndrome via microbiota-derived spermidine

description: Lactobacillus reuteri ZJ617 attenuates metabolic syndrome via microbiota-derived spermidine
DOI: 10.6084/m9.figshare.27247905
title: Brucella abortus impairs T lymphocyte responsiveness by mobilizing IL-1RA-secreting omental neutrophils

description: raw data of the analyses in the manuscript.
DOI: 10.6084/m9.figshare.27247905.v1
title: Brucella abortus impairs T lymphocyte responsiveness by mobilizing IL-1RA-secreting omental neutrophils

description: raw data of the analyses in the manuscript.
DOI: 10.15468/dl.u5e79w
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervicornia Rützler & Hooper, 2000"
 ]
}

 The dataset includes 35 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005649-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26075725
title: Grape bunch video dataset

description: This is video data used to perform 3D reconstruction of a bunch of grapes using monocular depth estimation from a video taken with a wide-angle camera.
DOI: 10.6084/m9.figshare.26075725.v1
title: Grape bunch video dataset

description: This is video data used to perform 3D reconstruction of a bunch of grapes using monocular depth estimation from a video taken with a wide-angle camera.
DOI: 10.15468/dl.2e2ndj
title: Occurrence Download

description: A dataset containing 2746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chamaecyparis thyoides (L.) Britton, Sterns & Poggenb.)",
 {
 "and" : [
 "HasCoordinate is true",
 "Continent is North America",
 "HasGeospatialIssue is false"
 ]
 }
 ]
}

 The dataset includes 2746 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005650-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14702616
title: The Influence of Climate on Landscapes in the Bhutan Himalaya
DOI: 10.5281/zenodo.14702617
title: The Influence of Climate on Erosion and Fluvial/Hillslope Dynamics in the Bhutan Himalaya
DOI: 10.5281/zenodo.14710014
title: The Influence of Climate on Landscapes in the Bhutan Himalaya
DOI: 10.15468/dl.f68qz6
title: Occurrence Download

description: A dataset containing 30098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratum conyzoides L."
 ]
}

 The dataset includes 30098 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005651-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd4egx
title: Occurrence Download

description: A dataset containing 36819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is China",
 "HasCoordinate is true",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 1980-2025"
 ]
}

 The dataset includes 36819 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005653-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21335/nmdc-575002813
title: Hydrographic (CTD) data from Isfjorden, Svalbard, in October 2023

description: This data set named UNIS_HR202310_CTD, is a collection of temperature and salinity (CTD) profiles from the area (13.6-15.4°E and 78.0-78.4°N) collected on a UNIS cruise with the Research Vessel Hanna Resvoll on 25 and 26 October 2023 as part of the Svalbard Strategic Grant project Fjord Interaction Network in Svalbard (FINIS). Data contributor is The University Centre in Svalbard (UNIS). Data are processed with standard software from the instrument manufacturers, and calibrated with in situ water bottle analysis and post-cruise calibration. The mean difference between bottle and corrected CTD salinity is 0.0007. Outliers are removed. Downcast profiles are used,
DOI: 10.15468/dl.r4e4uc
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Fungarium of Elena Zvyagina",
 "GadmGid is RUS.30_1",
 "Month is one of (August, September)",
 "Year is 2024"
 ]
}

 The dataset includes 230 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005656-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/5b2cb47f-d4a8-4783-b885-d01febf7b2b8
title: A continuous video frames dataset of goose for computer vision

description: As research on geese is currently in a relatively new field, there is a lack of suitable publicly available datasets. The data were obtained from a free-range goose farm in Lubei Village, Xiaoyi City, Shanxi Province. In order to obtain continuous image data of geese in their natural environment, video data were collected from the breeding environment of free-ranging geese. The videos were captured in a top-down perspective at a height of 1.8 metres above the ground. The main data acquisition device was a Huawei HONOR 60, acquired on 10 May 2023, and the videos obtained included at least two types of disturbances: weed-filled environments and shadows from trees. Introducing these complexities ensures a realistic simulation of the video capture scene in a natural environment. Once the video data were acquired, the captured video was edited into images every 2 seconds. Images that are morphologically difficult to recognise, have unclear features or are too blurred are discarded, so that the majority of the images obtained are clear. Finally, a continuous video frame dataset is constructed.
DOI: 10.4121/5b2cb47f-d4a8-4783-b885-d01febf7b2b8.v1
title: A continuous video frames dataset of goose for computer vision

description: As research on geese is currently in a relatively new field, there is a lack of suitable publicly available datasets. The data were obtained from a free-range goose farm in Lubei Village, Xiaoyi City, Shanxi Province. In order to obtain continuous image data of geese in their natural environment, video data were collected from the breeding environment of free-ranging geese. The videos were captured in a top-down perspective at a height of 1.8 metres above the ground. The main data acquisition device was a Huawei HONOR 60, acquired on 10 May 2023, and the videos obtained included at least two types of disturbances: weed-filled environments and shadows from trees. Introducing these complexities ensures a realistic simulation of the video capture scene in a natural environment. Once the video data were acquired, the captured video was edited into images every 2 seconds. Images that are morphologically difficult to recognise, have unclear features or are too blurred are discarded, so that the majority of the images obtained are clear. Finally, a continuous video frame dataset is constructed.
DOI: 10.15468/dl.kwad5t
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platymantis negrosensis Brown, Alcala, Diesmos & Alcala, 1997"
 ]
}

 The dataset includes 163 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005657-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bsrtz
title: Occurrence Download

description: A dataset containing 6536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spergula arvensis L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 6536 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005658-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59q77n
title: Occurrence Download

description: A dataset containing 1966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sphenoclea zeylanica Gaertn.",
 "Year 1970-2025"
 ]
}

 The dataset includes 1966 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005659-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/1ccabad8-d891-4dd4-90e7-49d5e329f980
title: LiDAR Point Cloud data of West Hall of Faculty of Architecture and Built Environment, TU Delft

description: This dataset was collected for visual quality analysis of Point Cloud environment virtual reality visualization which is published for paper entitled "Virtual Reality Visual Evaluation Through Edge Similarity in Various Point Cloud Density: An Early Study of Indoor GML Signification in Wayfinding Simulation". The data contains point cloud data of The West Hall of Faculty of Architecture and Built Environment buildings, TU Delft, in various point density. The point cloud dataset was collected using a ZEB Horizon Handheld LiDAR scanner and preprocessed using Faro Connect and Cloud Compare for SLAM file processing, noise reduction, and point reduction.
DOI: 10.4121/1ccabad8-d891-4dd4-90e7-49d5e329f980.v1
title: LiDAR Point Cloud data of West Hall of Faculty of Architecture and Built Environment, TU Delft

description: This dataset was collected for visual quality analysis of Point Cloud environment virtual reality visualization which is published for paper entitled "Virtual Reality Visual Evaluation Through Edge Similarity in Various Point Cloud Density: An Early Study of Indoor GML Signification in Wayfinding Simulation". The data contains point cloud data of The West Hall of Faculty of Architecture and Built Environment buildings, TU Delft, in various point density. The point cloud dataset was collected using a ZEB Horizon Handheld LiDAR scanner and preprocessed using Faro Connect and Cloud Compare for SLAM file processing, noise reduction, and point reduction.
DOI: 10.15468/dl.9tyaca
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Hierodula Burmeister, 1838"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013235-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u66rgj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe megalocarpa Lavranos"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005660-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emw6h6
title: Occurrence Download

description: A dataset containing 6149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Vogeltrekstation (NL) - Longterm data on biometrics of ringed birds, Birda - Global Observation Dataset, NABU|naturgucker, Naturalis Biodiversity Center (NL) - Aves, Xeno-canto - Bird sounds from around the world, Natural History Museum Rotterdam - Specimens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year is greater than or equal to 2023"
 ]
}

 The dataset includes 6149 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005661-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6uces
title: Occurrence Download

description: A dataset containing 168601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "EventDate 2019-01-01-2024-12-16",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3"
 ]
}

 The dataset includes 168601 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005627-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14163832
title: Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model - Data

description: This repository contains the data and additional information for the paper 'Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model'. 

The following files are included:



accuracy.zip: raw performance files for all models;

plots.zip: additional plots;

tuning.zip: tuning log files.
DOI: 10.5281/zenodo.14163833
title: Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model - Data

description: This repository contains the data and additional information for the paper 'Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model'. 

The following files are included:



accuracy.zip: raw performance files for all models;

plots.zip: additional plots;

tuning.zip: tuning log files.
DOI: 10.5281/zenodo.14162743
title: Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing - Data

description: This repository contains the data and additional information for the paper 'Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing'. 

The following files are included:



heatmaps.zip: heatmaps showing heuristic performance per dataset for 3 metrics;

heuristic_perf.zip: raw results files for each datasets;

tuning.zip: tuning log files;

ts_features_evolved.csv and ts_features_evolved_10_features_excess_bins.csv : full and selected time-series features computed on the evolved datasets;

BPinstances.csv : raw bin packing instances from all datasets: independent and evolved.
DOI: 10.5281/zenodo.14162744
title: Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing - Data

description: This repository contains the data and additional information for the paper 'Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing'. 

The following files are included:



heatmaps.zip: heatmaps showing heuristic performance per dataset for 3 metrics;

heuristic_perf.zip: raw results files for each datasets;

tuning.zip: tuning log files;

ts_features_evolved.csv and ts_features_evolved_10_features_excess_bins.csv : full and selected time-series features computed on the evolved datasets;

BPinstances.csv : raw bin packing instances from all datasets: independent and evolved.
DOI: 10.5281/zenodo.11573776
title: Reconciling community-level responses of wild bees to highly anthropized landscapes

description: Data and source code for the analyses described in the manuscript.
DOI: 10.5281/zenodo.14710047
title: January 4, 2024 (v1)DatasetOpen Dental raw mesowear and microwear data for the ungulates from Amud Cave (Late Pleistocene; Israel)

description: Raw data from the low-magnification analysis (x35) of dental microwear and the mesowear analysis of the ungulates from the Late Pleistocene sub-units B1, B2, B3 and B4 from Amud Cave (Israel).
DOI: 10.5281/zenodo.11573775
title: Reconciling community-level responses of wild bees to highly anthropized landscapes

description: Data and source code for the analyses described in the manuscript.
DOI: 10.5281/zenodo.14686853
title: Reconciling community-level responses of wild bees to highly anthropized landscapes

description: Data and source code for the analyses described in the manuscript.
DOI: 10.5281/zenodo.14524449
title: Raw data used in several figures

description: Raw data used in several figures.

Can be opened using the origin software (https://www.originlab.com).
DOI: 10.5281/zenodo.14710046
title: Dental raw mesowear and microwear data for the ungulates from Amud Cave (Late Pleistocene; Israel)

description: Raw data from the low-magnification analysis (x35) of dental microwear and the mesowear analysis of the ungulates from the Late Pleistocene sub-units B1, B2, B3 and B4 from Amud Cave (Israel).
DOI: 10.5281/zenodo.14710073
title: Dental raw mesowear and microwear data for the ungulates from Amud Cave (Late Pleistocene; Israel)

description: Raw data from the low-magnification analysis (x35) of dental microwear and the mesowear analysis of the ungulates from the Late Pleistocene sub-units B1, B2, B3 and B4 from Amud Cave (Israel).
DOI: 10.5281/zenodo.14524448
title: Raw data used in figures 3, 6, 7, 8

description: Raw data used in figures 3, 6, 7, 8.

Columns are separated by tabulator.
DOI: 10.5281/zenodo.14709938
title: Raw data used in figures 3, 6, 7, 8

description: Raw data used in figures 3, 6, 7, 8.

Columns are separated by tabulator.
DOI: 10.5281/zenodo.13645814
title: Data supplement for "Gradient dynamics approach to reactive thin-film hydrodynamics"

description: This archive contains the data and code supplement to the article `Gradient dynamics approach to reactive thin-film hydrodynamics' available at https://doi.org/10.1007/s10665-024-10402-x (J. Eng. Math. (2024) 149, 2)

Structure:    The directories are named according to the related figure in the main text (e.g. `Fig2'). Each directory contains a data folder (e.g. `data' or `data_ab') and codes to produce the corresponding figure. Gnuplot scripts are `.plt' files, python scripts are `.py' files.Executing the codes:    To execute the gnuplot scripts, start gnuplot and load the script, for example via `load "Fig3ab.plt"'. For the python scripts, use the command `python "Fig3cdef.py"' or `python3 "Fig3cdef.py"' from the terminal. Both gnuplot and python scripts require a latex kernel.Requirements:    The codes should run on most Linux-based systems, we have used:

    Ubuntu 20.04.2    gnuplot 5.2.8    Python 3.8.10    matplotlib 3.7.5    numpy 1.20.3    MiKTeX-pdfTeX 4.17 (MiKTeX 23.12)
DOI: 10.5281/zenodo.13645815
title: Data supplement for "Gradient dynamics approach to reactive thin-film hydrodynamics"

description: This archive contains the data and code supplement to the article `Gradient dynamics approach to reactive thin-film hydrodynamics' available at https://arxiv.org/abs/2403.10295.

Structure:    The directories are named according to the related figure in the main text (e.g. `Fig2'). Each directory contains a data folder (e.g. `data' or `data_ab') and codes to produce the corresponding figure. Gnuplot scripts are `.plt' files, python scripts are `.py' files.Executing the codes:    To execute the gnuplot scripts, start gnuplot and load the script, for example via `load "Fig3ab.plt"'. For the python scripts, use the command `python "Fig3cdef.py"' or `python3 "Fig3cdef.py"' from the terminal. Both gnuplot and python scripts require a latex kernel.Requirements:    The codes should run on most Linux-based systems, we have used:

    Ubuntu 20.04.2    gnuplot 5.2.8    Python 3.8.10    matplotlib 3.7.5    numpy 1.20.3    MiKTeX-pdfTeX 4.17 (MiKTeX 23.12)