cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10848426
title: Dutch landscapes have lost insect-pollinated plants over the past 87 years

description: Data associated with the publication "Dutch landscapes have lost insect-pollinated plants over the past 87 years".

Abstract:

1. The interruption of plant-pollinator interactions may threaten global plant diversity, food security, and ecosystem stability. Recent reports of strong declines in both insects and plants point to insect decline as a driver of plant decline. However, it is still unknown whether these trends are related as plants often produce seeds without the need for insect pollinators, and to what extent insect-pollinated plants have declined in relation to plants not pollinated by insects. 

2. In this study, we hypothesise that natural plant communities have shifted away from insect-pollination. We combined 365,768 vegetation plots from 1930 to 2017 in the Netherlands and plant traits to assess the changes in occurrences of plants pollinated by different modes. Furthermore, we included key drivers in plant decline—specifically nitrogen, moisture, and habitat types—as interaction factors to explore the persistence of the observed changes under different environmental conditions.

3. The proportion of insect-pollinated plants has declined while that of wind-pollinated plants has increased over the last 87 years. This proportional change reflects an absolute decrease in the number of insect-pollinated species and an increase in the number of wind-pollinated species. 

4. Synthesis and applications. This study implies that Dutch landscapes are losing insect-pollinated plant species, which is likely due, at least in part, to the decline in pollination services. Our results of quantifying the decline in insect-pollinated plants support the necessity and urgency of taking conservation initiatives. Several management strategies and policy recommendations could be applied to alleviate the decline of insect-pollinated plants and ensure crop safety. For example, conserving natural environments by reducing nitrogen deposition may support local plants and insect pollinators. Additionally, there is a particular need for focused efforts to protect natural grasslands, as these areas harbor many insect-pollinated plants, which have experienced declines. Finally, monitoring and assessing the state of both pollinators and (insect-pollinated) plants is needed to assess the progress of conservation measures. While recognizing the interdependence of pollinators and pollinated plants, it is crucial to extend efforts beyond pollinator conservation alone to effectively safeguard insect-pollinated plants and ensure crop safety.
DOI: 10.6084/m9.figshare.25345330
title: Computational data_NATSYNTH-23060657.zip

description: Computational data for Palladium-catalyzed methylene C(sp3)-H lactamization and cycloamination enabled by chlorinated pyridine-pyridone ligands
DOI: 10.6084/m9.figshare.25467892
title: Data repository: Can individual variation in food neophobia explain variability in dairy calf feeding behavior patterns and performance?

description: Data repository for the manuscript: Can individual variation in food neophobia explain variability in dairy calf feeding behavior patterns and performance?
DOI: 10.6084/m9.figshare.25467892.v1
title: Data repository: Can individual variation in food neophobia explain variability in dairy calf feeding behavior patterns and performance?

description: Data repository for the manuscript: Can individual variation in food neophobia explain variability in dairy calf feeding behavior patterns and performance?
DOI: 10.7910/dvn/nffakj
title: Variations in Online Self-Censorship: Analysis of the Turkish Case

description: Data consist of 692,840 retweets by 12,798 users who were active on Twitter between October 11 and October 24, 2022
DOI: 10.25952/5h7k-de03
title: Psychological wellbeing and challenges in the journey of rural cancer patients and those that care for them

description: This dataset encompasses patient and carer self-report measures from the Cancer Wellbeing Project, including DASS-21, Mini-MAC, WHO-5, Self-Compassion Scale, Distress Thermometer and health service access barrier data in quantitative and qualitative formats. This data was collected 2020-2022, from three rural cancer settings based in Armidale, Tamworth and Moree, NSW Australia, as well as online surveys collected through Qualtrics questionnaires.
description: This dataset encompasses patient and carer self-report measures from the Cancer Wellbeing Project, including DASS-21, Mini-MAC, WHO-5, Self-Compassion Scale, Distress Thermometer and health service access barrier data in quantitative and qualitative formats. This data was collected 2020-2022, from three rural cancer settings based in Armidale, Tamworth and Moree, NSW Australia, as well as online surveys collected through Qualtrics questionnaires.
DOI: 10.17632/bpbn56v3x7.2
title: Early stage breast cancer in Xiamen, China(2009-2017)

description: This database collected the surgical options and their demographic and clinical characteristics of breast cancer patients who underwent surgery in two hospitals in Xiamen from 2009 to 2017.
DOI: 10.17632/bpbn56v3x7.3
title: Early stage breast cancer in Xiamen, China(2009-2017)

description: This database collected the surgical options and their demographic and clinical characteristics of breast cancer patients who underwent surgery in two hospitals in Xiamen from 2009 to 2017.
DOI: 10.17632/bpbn56v3x7.1
title: Early stage breast cancer in Xiamen, China(2009-2017)

description: This database collected the surgical options and their demographic and clinical characteristics of breast cancer patients who underwent surgery in two hospitals in Xiamen from 2009 to 2017.
DOI: 10.5281/zenodo.10457107
title: Proxy-based hail-prone-day climatology and trends for Australia 1979-2021

description: Climatology of and trends on hail-prone days over Australia from 1979-2021

Hail-prone day climatology is calculated using the proxy of Raupach et al., 2023a (DOI: 10.1175/MWR-D-22-0127.1) applied to ERA5 pressure-level reanalysis data (DOI: 10.24381/cds.bd0915c6) at gridded 0.25 degree resolution for 1979-2021 (daily) and March 1979-May 2022 (seasonally). A day was considered hail-prone if a hail-prone atmosphere was detected at 03, 06, or 09 UTC. Trends in hail-prone days are calculated as in Raupach et al., 2023b (DOI: 10.1038/s41612-023-00454-8).

The climatology shows the mean annual hail-prone days per grid point over 1979-2021, while seasonal climatologies are over March 1979-May 2022. The trends information shows changes in annual hail-prone days over the same period.

NB: The seasonal climatology values differ slightly from those in Supp. Figure 3 in Raupach et al 2023, owing to an improved calculation of the climatology. The differences for each season are less than hail-prone 0.5 days. For details of the change see https://github.com/traupach/era5_hail_climatology/blob/main/analysis/climatology_for_zenodo.ipynb.

These data are licensed with a Creative Commons Attribution 4.0 International license (CC-BY-4.0, https://creativecommons.org/licenses/by/4.0/legalcode). These results contain modified Copernicus Climate Change Service information 2022. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

If using these data, please inform T. Raupach at t.raupach@unsw.edu.au, and please cite the following paper for which these data were calculated: 

Raupach, T.H., Soderholm, J.S., Warren, R.A. et al. Changes in hail hazard across Australia: 1979–2021. npj Clim Atmos Sci 6, 143 (2023). https://doi.org/10.1038/s41612-023-00454-8

Acknowledgements: This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
DOI: 10.5281/zenodo.10457108
title: Proxy-based hail-prone-day climatology and trends for Australia 1979-2021

description: Climatology of and trends on hail-prone days over Australia from 1979-2021

Hail-prone day climatology is calculated using the proxy of Raupach et al., 2023a (DOI: 10.1175/MWR-D-22-0127.1) applied to ERA5 pressure-level reanalysis data (DOI: 10.24381/cds.bd0915c6) at gridded 0.25 degree resolution for 1979-2021. A day was considered hail-prone if a hail-prone atmosphere was detected at 03, 06, or 09 UTC. Trends in hail-prone days are calculated as in Raupach et al., 2023b (DOI: 10.1038/s41612-023-00454-8).

The climatology shows the mean annual hail-prone days per grid point over 1979-2021. The trends information shows changes in annual hail-prone days over the same period.

These data are licensed with a Creative Commons Attribution 4.0 International license (CC-BY-4.0, https://creativecommons.org/licenses/by/4.0/legalcode). These results contain modified Copernicus Climate Change Service information 2022. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

If using these data, please inform T. Raupach at t.raupach@unsw.edu.au, and please cite the following paper for which these data were calculated: 

Raupach, T.H., Soderholm, J.S., Warren, R.A. et al. Changes in hail hazard across Australia: 1979–2021. npj Clim Atmos Sci 6, 143 (2023). https://doi.org/10.1038/s41612-023-00454-8

Acknowledgements: This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
DOI: 10.5281/zenodo.10851299
title: Proxy-based hail-prone-day climatology and trends for Australia 1979-2021

description: Climatology of and trends on hail-prone days over Australia from 1979-2021

Hail-prone day climatology is calculated using the proxy of Raupach et al., 2023a (DOI: 10.1175/MWR-D-22-0127.1) applied to ERA5 pressure-level reanalysis data (DOI: 10.24381/cds.bd0915c6) at gridded 0.25 degree resolution for 1979-2021 (daily) and March 1979-May 2022 (seasonally). A day was considered hail-prone if a hail-prone atmosphere was detected at 03, 06, or 09 UTC. Trends in hail-prone days are calculated as in Raupach et al., 2023b (DOI: 10.1038/s41612-023-00454-8).

The climatology shows the mean annual hail-prone days per grid point over 1979-2021, while seasonal climatologies are over March 1979-May 2022. The trends information shows changes in annual hail-prone days over the same period.

NB: The seasonal climatology values differ slightly from those in Supp. Figure 3 in Raupach et al 2023, owing to an improved calculation of the climatology. The differences for each season are less than hail-prone 0.5 days. For details of the change see https://github.com/traupach/era5_hail_climatology/blob/main/analysis/climatology_for_zenodo.ipynb.

These data are licensed with a Creative Commons Attribution 4.0 International license (CC-BY-4.0, https://creativecommons.org/licenses/by/4.0/legalcode). These results contain modified Copernicus Climate Change Service information 2022. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

If using these data, please inform T. Raupach at t.raupach@unsw.edu.au, and please cite the following paper for which these data were calculated: 

Raupach, T.H., Soderholm, J.S., Warren, R.A. et al. Changes in hail hazard across Australia: 1979–2021. npj Clim Atmos Sci 6, 143 (2023). https://doi.org/10.1038/s41612-023-00454-8

Acknowledgements: This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
DOI: 10.34740/kaggle/dsv/7933401
title: BBC News
DOI: 10.34740/kaggle/dsv/7933418
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.5517/ccdc.csd.cc2fftmb
title: CCDC 2247612: Experimental Crystal Structure Determination

description: Related Article: Andrew Kelleghan, Arismel Tena Meza, Neil Garg|2023|Nat. Synth.|3|329|doi:10.1038/s44160-023-00432-1
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.cc2hmxln
title: CCDC 2313052: Experimental Crystal Structure Determination

description: Related Article: Wei Zhang, Chong Zhao, Wenjie Zhu, Xiao He, Yanchuan Zhao|2024|J.Org.Chem.|89|4037|doi:10.1021/acs.joc.3c02902
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: 10.34740/kaggle/dsv/7933406
title: Laptop  Details
DOI: 10.6084/m9.figshare.24084630.v5
title: Comprehensive validation and refinement of cropland maps in southwest China

description: The datasets stored in the repository includes: (1) The supplementary file (in .doc format) of study area and metric performance, (2) The albers equal conic area projected coordinate system (PCS) applied to China area, (3) ten existing cropland maps in southwestern China with the spatial resolution in 1-m ~ 30-m as well as (4) refined cropland maps (CroplandSyn) based on the harmonizing of consistency and (5) vote map for ten cropland maps in southwestern China. All the raster files are with the albers PCS and the pyramid file in .ovr format is also attached for a quicker loading for softwares.
DOI: 10.34740/kaggle/dsv/7933621
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.24084630.v6
title: Comprehensive validation and refinement of cropland maps in southwest China

description: The datasets stored in the repository includes: (1) The supplementary file (in .doc format) of study area and metric performance, (2) The albers equal conic area projected coordinate system (PCS) applied to China area, (3) ten existing cropland maps in southwestern China with the spatial resolution in 1-m ~ 30-m as well as (4) refined cropland maps (CroplandSyn) based on the harmonizing of consistency and (5) vote map for ten cropland maps in southwestern China. All the raster files are with the albers PCS and the pyramid file in .ovr format is also attached for a quicker loading for software. (6) Validation sample sets in shapefile format for southwestern China cropland maps. (7) Javascript codes run by Google Earth Engine (GEE) to pre-process the cropland maps.
DOI: 10.34740/kaggle/dsv/7933685
title: Electoral Bonds India: Complete Dataset
DOI: 10.5281/zenodo.10867024
title: Datasets for ICSE'25 submission:  "Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach"
DOI: 10.5281/zenodo.10867025
title: Datasets for ICSE'25 submission:  "Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach"
DOI: 10.15468/nvs9h9
title: AMENAGEMENT DE LA VELOROUTE V50 MOSELLE-SAONE ENTRE CORRE ET PORT-SUR-SAONE - Inventaire des amphibiens

description: Inventaires des amphibiens présents au niveau du tracé de la véloroute le long de la rivière de la Saône.
DOI: 10.15468/35ubtm
title: Suivi écologique bilan 2021 - inventaire de l'herpétofaune 2021

description: Inventaire de l'herpétofaune dans le cadre du suivi écologique de 2021
DOI: 10.15468/bazztj
title: Projet de parc photovoltaïque au sol à Diesen et Porcelette (57) - Tranche 1 - Inventaire faune-flore

description: diagnostic environnemental initial
DOI: 10.15468/8jqc73
title: ISDND Téting sur Nied : suivi écologique 2020 - Amphibiens 2020

description: Inventaire des amphibiens par parcours et écoute nocturne autour des mares de compensation
DOI: 10.6084/m9.figshare.24354895.v3
title: Pangenome sequences and gene annotations.

description: Pangenome data and gene annotations for <i>Gossypium arboreum</i>
DOI: 10.6084/m9.figshare.24354895.v4
title: Pangenome analysis reveals transposon-driven genome evolution in cotton

description: Pangenome data and gene annotations for <i>Gossypium arboreum.</i>
DOI: 10.6084/m9.figshare.24354895
title: Pangenome analysis reveals transposon-driven genome evolution in cotton

description: Pangenome data and gene annotations for <i>Gossypium arboreum.</i>
DOI: 10.6084/m9.figshare.24354895.v5
title: Pangenome analysis reveals transposon-driven genome evolution in cotton

description: Pangenome data and gene annotations for <i>Gossypium arboreum.</i>
DOI: 10.57841/casdc.0003387
title: 半导体激发态数据库
DOI: 10.6084/m9.figshare.25466461.v2
title: <b>B</b><sup><strong>3</strong></sup><b>P</b><sup><strong>2</strong></sup><b>Augur: A prediction model for blood-brain barrier penetrating peptides based on data augmentation</b>

description: The blood-brain barrier serves as a critical interface between the bloodstream and brain tissue. It plays a pivotal role in safeguarding brain from harmful substances, thus protecting the integrity of the nervous system and preserving overall brain homeostasis. However, the prediction models for B3PPs have been hampered by issue of limited positive data. In response to this challenge, this study aimed to use data augmentation to process the data, in order to develop better prediction models.In this study, we analyzed the amino acid composition and sequence features of blood-brain barrier penetrating peptides, and finally presented B<sup>3</sup>P<sup>2</sup>Augur, a novel prediction model using borderline-SMOTE-based data augmentation and machine learning. Further analysis demonstrated that the model performs best on the independent set (AUROC=0.931) with a 25% data augmentation ratio. Additionally, B<sup>3</sup>P<sup>2</sup>Augur has been developed into a tool that can be executed on a computer, with the source code freely available.B<sup>3</sup>P<sup>2</sup>Augur improves the prediction performance compared with existing models and demonstrates the effectiveness of data augmentation algorithms in predicting blood-brain barrier penetrating peptides, which may be valuable for developing new peptides.<br>
DOI: 10.6084/m9.figshare.25468126
title: Drag in Vegetation Canopy: Considering Sheltering and Blockage Effects

description: It accompanies the journal article submission (revised manuscript) to Water Resources Research, which is entitled "Drag in Vegetation Canopy: Considering Sheltering and Blockage Effects".
DOI: 10.5281/zenodo.10867075
title: 20240325_WRR

description: The data set for WRR.

Please confirm the "20240325_WRR/Data_set_for_figure/Read_me.txt" fot details.
DOI: 10.5281/zenodo.10867076
title: 20240325_WRR

description: The data set for WRR.

Please confirm the "20240325_WRR/Data_set_for_figure/Read_me.txt" fot details.
DOI: 10.6084/m9.figshare.25468144
title: KAP data for brucellosis in China

description: KAP dataset for brucellosis in farmers and animal health personnel in China
DOI: 10.5281/zenodo.10042981
title: Predicting p53-Dependent Cell Transitions From Thermodynamic Models

description: Matlab codes containing Grand Canonical Monte Carlo (GCMC) simulation codes and theoretical codes to study the first-order phase transition behavior of a malignant cell to a normal healthy cell. In this work, we develop thermodynamic models to determine the fate of a malignant cell as governed by the tumor suppressor p53 signaling network.
DOI: 10.5281/zenodo.10042982
title: Predicting p53-Dependent Cell Transitions From Thermodynamic Models

description: Matlab codes containing Grand Canonical Monte Carlo (GCMC) simulation codes and theoretical codes to study the first-order phase transition behavior of a malignant cell to a normal healthy cell. In this work, we develop thermodynamic models to determine the fate of a malignant cell as governed by the tumor suppressor p53 signaling network.
DOI: 10.6084/m9.figshare.24921444
title: Data and coding work for physical experiments and UHSCA modeling

description: The experimental results of physical experiments, the results of CA-based modeling and coding work of UHSCA model
DOI: 10.6084/m9.figshare.24921444.v2
title: Data and coding work for physical experiments and UHSCA modeling

description: The experimental results of physical experiments, the results of CA-based modeling and coding work of UHSCA model
DOI: 10.6084/m9.figshare.24921444.v1
title: Data for physical experiments and UHSCA modeling

description: The PSD data, rainfall-runoff and wash-off data of the physical experiments, the results of CA-based modeling and the verification of UHSCA model
DOI: 10.5517/ccdc.csd.cc2jlslj
title: CCDC 2341758: Experimental Crystal Structure Determination

description: Related Article: Wenru Song|2024|CSD Communication|||
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.10867111
title: Data from 'Exploring Depth-Related Patterns of Sponge Diversity and Abundance in Marginal Reefs'

description: Datasets species ID generated during and/or analysed in the paper 'Exploring Depth-Related Patterns of Sponge Diversity and Abundance in Marginal Reefs’, published in Ecology and Evolution.
DOI: 10.5281/zenodo.10867112
title: Data from 'Exploring Depth-Related Patterns of Sponge Diversity and Abundance in Marginal Reefs'

description: Datasets species ID generated during and/or analysed in the paper 'Exploring Depth-Related Patterns of Sponge Diversity and Abundance in Marginal Reefs’, published in Ecology and Evolution.
DOI: 10.6084/m9.figshare.25466815.v1
title: saliva_data

description: test data
DOI: 10.25919/y6aj-hv58
title: Case study 7 in WMO Guidelines on the Verification of Hydrological Forecasts: Compare accuracy, reliability and sharpness of two ensemble streamflow forecasting systems in a stream with zero flow

description: Data and Matlab code for an example case study to verify ensemble streamflow forecasts for ephemeral rivers
DOI: 10.5281/zenodo.10866254
title: Semaphorin3C identified as mediator of neuroinflammation and microglia polarization after spinal cord injury
DOI: 10.5281/zenodo.10866255
title: Semaphorin3C identified as mediator of neuroinflammation and microglia polarization after spinal cord injury
DOI: 10.23719/1529781
title: Demonstrating the reliability of in vivo metabolomics-based chemical grouping: Towards best practice

description: The experimental metabolomics data generated during the current study are available in the MetaboLights repository under the identifier MTBLS8274.
DOI: 10.60893/figshare.jap.25360321.v1
title: Supplement Number 1

description: This file contains fitting parameters of Eq. 3, Comparison of the pressure calculated from AIMD and DPMD simulations, convergence test, pressure comparison between different system sizes, and the number of O2 molecules as a function of density
DOI: 10.60893/figshare.jap.25360321
title: Supplement Number 1

description: This file contains fitting parameters of Eq. 3, Comparison of the pressure calculated from AIMD and DPMD simulations, convergence test, pressure comparison between different system sizes, and the number of O2 molecules as a function of density
DOI: 10.26179/1205-2s58
title: Data from the Bechervaise Island Adelie penguin weighbridge, 2006-2018