cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13816593
title: Strategies to mitigate differences between environments using Rapid Review on Grey Literature

description: The comparison spreadsheet serves as a comprehensive repository for organizing and synthesizing data extracted from Grey Literature sources. It contains coded information related to strategies for mitigating configuration differences in software development, allowing for a systematic analysis of the identified practices. The spreadsheet links to different sections of the paper by providing a structured framework for data analysis. In the 'Data synthesis' section, the spreadsheet supports a mixed-method approach, combining qualitative and quantitative methods for analyzing the data. It aids in thematic analysis by translating codes into themes and creating higher-order themes for a more in-depth understanding of the collected data. Additionally, the spreadsheet connects to the 'Extract and Code data' section, where it houses all relevant codes and facilitates discussions on pertinent information extracted from Grey Literature sources. By referencing unique identifiers within the spreadsheet, researchers can track and link specific entries to the research questions, ensuring alignment with the study's objectives. Overall, the comparison spreadsheet plays a pivotal role in organizing, analyzing, and synthesizing data from Grey Literature sources, contributing to the robustness and coherence of the research findings presented in the paper.
DOI: 10.5281/zenodo.13817926
title: sanicula_azorica_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13817927
title: sanicula_azorica_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13818064
title: sasia_africana_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13818065
title: sasia_africana_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.z7mbad
title: Occurrence Download

description: A dataset containing 421170 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is GBR.1.118_1"
 ]
}

 The dataset includes 421170 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024332-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13818194
title: scabiosa_tenuis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13818195
title: scabiosa_tenuis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.11096745
title: CSRM Level 2 dataset: isotropic receiver function (2 to 12 s) in continental China

description: This dataset contains the isotropic receiver function (time from 2 s to 12 s after the Pp phase) estimated from 2,260,022 original receiver functions, calculated based on the waveforms of 9361 tele-seismic events recorded by 4088 seismic stations deployed in continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 10 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据集包含了从 2,260,022 条原始接收函数计算的单台叠加接收函数(时间在 P 波后 2 至 12 秒之间)。原始接收函数的计算基于中国大陆区域 4088 个地震台站接收的 9361 个远震事件的波形。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型 (CSRM-1.0) 的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.11096746
title: CSRM Level 2 dataset: isotropic receiver function (2 to 12 s) in continental China

description: This dataset contains the isotropic receiver function (time from 2 s to 12 s after the Pp phase) estimated from 2,260,022 original receiver functions, calculated based on the waveforms of 9361 tele-seismic events recorded by 4088 seismic stations deployed in continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 10 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据集包含了从 2,260,022 条原始接收函数计算的单台叠加接收函数(时间在 P 波后 2 至 12 秒之间)。原始接收函数的计算基于中国大陆区域 4088 个地震台站接收的 9361 个远震事件的波形。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型 (CSRM-1.0) 的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.13764583
title: CSRM Level 2 dataset: inter-station empirical Green's functions (Z-Z component) in continental China from seismic ambient noise data

description: This dataset contains the 377,770 inter-station empirical Green's functions and associated Rayleigh wave phase/group velocity dispersion curves that are calculated from continuous seismic ambient noise waveforms of 2513 seismic stations deployed in the continent China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据库包含了利用中国大陆区域 2513 个地震台站记录的连续波形数据计算的 377,770 条台站间经验格林函数及其瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.13764584
title: CSRM Level 2 dataset: inter-station empirical Green's functions (Z-Z component) in continental China from seismic ambient noise data

description: This dataset contains the 377,770 inter-station empirical Green's functions and associated Rayleigh wave phase/group velocity dispersion curves that are calculated from continuous seismic ambient noise waveforms of 2513 seismic stations deployed in the continent China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据库包含了利用中国大陆区域 2513 个地震台站记录的连续波形数据计算的 377,770 条台站间经验格林函数及其瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.15468/dl.nnxzxz
title: Occurrence Download

description: A dataset containing 4986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Achondrostoma arcasii (Steindachner, 1866)"
 ]
}

 The dataset includes 4986 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024337-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13818312
title: sceloporus_chrysostictus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.13818313
title: sceloporus_chrysostictus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.11107377
title: CSRM Level 2 dataset: event-station Rayleigh wave phase and group velocity dispersion curves in continental China from regional earthquake data

description: This dataset contains the 54,792 event-station Rayleigh wave phase and group velocity dispersion curves from vertical-component waveforms of 226 regional earthquakes recorded by 1463 seismic stations. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据库包含了利用中国大陆区域 1463 个地震台站记录的 226 个区域地震的波形数据计算的 54,792 条事件-台站间瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.11107376
title: CSRM Level 2 dataset: event-station Rayleigh wave phase and group velocity dispersion curves in continental China from regional earthquake data

description: This dataset contains the 54,792 event-station Rayleigh wave phase and group velocity dispersion curves from vertical-component waveforms of 226 regional earthquakes recorded by 1463 seismic stations. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link). 

本数据库包含了利用中国大陆区域 1463 个地震台站记录的 226 个区域地震的波形数据计算的 54,792 条事件-台站间瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.15468/dl.5mr4q9
title: Occurrence Download

description: A dataset containing 4250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SeasonWatch - Tree Phenology Dataset (India)"
 ]
}

 The dataset includes 4250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024338-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11107478
title: CSRM Level 2 dataset: Rayleigh wave phase and group velocity maps in continental China

description: This dataset contains the Rayleigh wave phase/group velocity maps at the period range from 8  to 70 s. These maps are obtained by travel time tomography using the 639,171 inter-station and 54,792 event-station Rayleigh wave phase/group velicity dispersion curves (data link). The spatial resolution of these maps is ~60 km in the north-south seismic belt and thans-North China Orogen regions, and ~120 km in the rest of the continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link).

本数据库包含了利用 8 - 70 s 的中国大陆区域瑞利波相/群速度结构。反演该相/群速度结构用到了 639,171 条台站间瑞利波相/群速度频散曲线和 54,792 事件-台站间频散曲线(数据链接)。相/群速度图在南北地震带和华北造山带的分辨率约为 60 km, 在中国大陆其他区域的分辨率约为 120 km。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.11107479
title: CSRM Level 2 dataset: Rayleigh wave phase and group velocity maps in continental China

description: This dataset contains the Rayleigh wave phase/group velocity maps at the period range from 8  to 70 s. These maps are obtained by travel time tomography using the 639,171 inter-station and 54,792 event-station Rayleigh wave phase/group velicity dispersion curves (data link). The spatial resolution of these maps is ~60 km in the north-south seismic belt and thans-North China Orogen regions, and ~120 km in the rest of the continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, Submitted) (model link).

本数据库包含了利用 8 - 70 s 的中国大陆区域瑞利波相/群速度结构。反演该相/群速度结构用到了 639,171 条台站间瑞利波相/群速度频散曲线和 54,792 事件-台站间频散曲线(数据链接)。相/群速度图在南北地震带和华北造山带的分辨率约为 60 km, 在中国大陆其他区域的分辨率约为 120 km。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, Submitted) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.11107525
title: CSRM Level 2 dataset: Rayleigh wave phase and group velocity maps in continental China

description: This dataset contains the Rayleigh wave phase/group velocity maps at the period range from 8  to 70 s. These maps are obtained by travel time tomography using the 639,171 inter-station and 54,792 event-station Rayleigh wave phase/group velicity dispersion curves (data link). The spatial resolution of these maps is ~60 km in the north-south seismic belt and thans-North China Orogen regions, and ~120 km in the rest of the continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, 2024) (model link).

本数据库包含了利用 8 - 70 s 的中国大陆区域瑞利波相/群速度结构。反演该相/群速度结构用到了 639,171 条台站间瑞利波相/群速度频散曲线和 54,792 事件-台站间频散曲线(数据链接)。相/群速度图在南北地震带和华北造山带的分辨率约为 60 km, 在中国大陆其他区域的分辨率约为 120 km。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, 2024) (模型链接) 。

If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com).
DOI: 10.5281/zenodo.13818426
title: scinax_staufferi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13818427
title: scinax_staufferi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13745062
title: Gridded maps of global population scaled to match the 2023 Wittgenstein Center (WIC) Population projections

description: The gridded population data used for calculating exposed populations is based on the population projections from the original SSPs (KC and Lutz, 2017) which were subsequently gridded (Jones and O’Neill, 2016). These gridded projections were aggregated to 0.5 ° spatial resolution and then scaled to match the latest available projections for population in line with the updated SSPs, v3.0 (KC et al., 2024). The scaling is done on a country basis for all countries included in the latest SSP projections. Countries, which are not included in these projections, remain unchanged. The scaling process is done on a country-level basis using the following step: 



The total population for the original gridded data is calculated using the ISIMIP fractional country raster (Perrette, 2023), excluding border cells containing contributions from more than one country.

The population of the fractional border cells is subtracted from the total population of the SSP population projections and the required scalar to match the population from the gridded data to the SSP population projections is calculated.

This scalar is applied to all non-fractional cells. 


While it is possible to calculate the scalar for each country including the proportion of the population in the fractional border cells, this would require the scalar to also be applied to that proportion of the population in the border cells to match the overall population number for each country. Applying different scalars to the population proportions for each country in the same cell would, however, change the ratios of the population in the fractional border cells and subsequently lead to skewed results when reapplying the fractional country raster to the scaled data for the aggregation to country level. For small countries, where more population lives in fractional border cells than in non-border cells, and for countries that only consist of border cells with contributions from more than one country, all cells were used in the scaling process. It should be noted that some smaller countries cannot be scaled properly and that the latest SSP population projections do not contain values for all countries. Since there has been no release of updated gridded population projections yet, the gridded population data created using this approach still provide the closest match to the latest SSP population projections currently available.
DOI: 10.5281/zenodo.13745063
title: Gridded maps of global population scaled to match the 2023 Wittgenstein Center (WIC) Population projections

description: The gridded population data used for calculating exposed populations is based on the population projections from the original SSPs (KC and Lutz, 2017) which were subsequently gridded (Jones and O’Neill, 2016). These gridded projections were aggregated to 0.5 ° spatial resolution and then scaled to match the latest available projections for population in line with the updated SSPs, v3.0 (KC et al., 2024). The scaling is done on a country basis for all countries included in the latest SSP projections. Countries, which are not included in these projections, remain unchanged. The scaling process is done on a country-level basis using the following step: 



The total population for the original gridded data is calculated using the ISIMIP fractional country raster (Perrette, 2023), excluding border cells containing contributions from more than one country.

The population of the fractional border cells is subtracted from the total population of the SSP population projections and the required scalar to match the population from the gridded data to the SSP population projections is calculated.

This scalar is applied to all non-fractional cells. 


While it is possible to calculate the scalar for each country including the proportion of the population in the fractional border cells, this would require the scalar to also be applied to that proportion of the population in the border cells to match the overall population number for each country. Applying different scalars to the population proportions for each country in the same cell would, however, change the ratios of the population in the fractional border cells and subsequently lead to skewed results when reapplying the fractional country raster to the scaled data for the aggregation to country level. For small countries, where more population lives in fractional border cells than in non-border cells, and for countries that only consist of border cells with contributions from more than one country, all cells were used in the scaling process. It should be noted that some smaller countries cannot be scaled properly and that the latest SSP population projections do not contain values for all countries. Since there has been no release of updated gridded population projections yet, the gridded population data created using this approach still provide the closest match to the latest SSP population projections currently available.
DOI: 10.5281/zenodo.13818448
title: sclerophrys_asmarae_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13818449
title: sclerophrys_asmarae_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.7hga9f
title: Occurrence Download

description: A dataset containing 3698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera Oken, 1816",
 "Year 2014-2024"
 ]
}

 The dataset includes 3698 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024340-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13817795
title: Dataset - Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: Fixed version of additional_files:

- In the previous version of 05.6_additional_files the data type of some descriptors was assigned incorrectly

- In this fixed version data types are correct 

This repository contains version 05.6 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" doi.org/10.1186/s13321-022-00672-x.

Changes compared to version 05.5

- applied small molecule filter that filters out compounds with a MW < 200 or > 800, heavy metal containing compounds and mixtures

- include TID column which contains information on the original protein identifier
DOI: 10.5281/zenodo.7821775
title: Dataset - Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: <strong>Fixed version of Papyrus++ 05.6:</strong><br> <strong>- In the previous 05.6 version </strong>data was incorrectly duplicated based on assay type. This resulted in unintended data augmentation. <strong>- In this fixed 05.6 version</strong> the duplicates have been eliminated, now reporting the correct amount of data per assay type. This repository contains version 05.6 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" doi.org/10.1186/s13321-022-00672-x. Changes compared to version 05.5 - applied small molecule filter that filters out compounds with a MW &lt; 200 or &gt; 800, heavy metal containing compounds and mixtures - include TID column which contains information on the original protein identifier
DOI: 10.5281/zenodo.7373213
title: Dataset - Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: Fixed version of additional_files:

- In the previous version of 05.6_additional_files the data type of some descriptors was assigned incorrectly

- In this fixed version data types are correct 

This repository contains version 05.6 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" doi.org/10.1186/s13321-022-00672-x.

Changes compared to version 05.5

- applied small molecule filter that filters out compounds with a MW < 200 or > 800, heavy metal containing compounds and mixtures

- include TID column which contains information on the original protein identifier
DOI: 10.5281/zenodo.7373214
title: Dataset - Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains version 05.6 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the preprint "Papyrus - A large scale curated dataset aimed at bioactivity predictions". Changes compared to version 05.5 - applied small molecule filter that filters out compounds with a MW &lt; 200 or &gt; 800, heavy metal containing compounds and mixtures - include TID column which contains information on the original protein identifier
DOI: 10.5281/zenodo.7377161
title: Dataset - Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains version 05.6 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the preprint "Papyrus - A large scale curated dataset aimed at bioactivity predictions". Changes compared to version 05.5 - applied small molecule filter that filters out compounds with a MW &lt; 200 or &gt; 800, heavy metal containing compounds and mixtures - include TID column which contains information on the original protein identifier
DOI: 10.5517/ccppvdl
title: CCDC 646610: Experimental Crystal Structure Determination

description: Related Article: Lei Zheng, Zhong-Hai Ni, Wen-Lu Li, Li-Fang Zhang, Chun-Hua Ge, Ai-Li Cui, Hui-Zhong Kou|2008|Jiegou Huaxue|27|793|
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/cc7d6ng
title: CCDC 220275: Experimental Crystal Structure Determination

description: Related Article: Zheng-Hong Cai, Jing Tang, Yu Tang, Min-Yu Tan, Kai-Bei Yu|2007|Gaodeng Xuexiao Huaxue Xuebao|28|1836|
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.