cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10493839
title: Model hydrodynamic outputs and example codes for running different Lagrangian particle tracking packages
DOI: 10.57967/hf/1874
title: DT_SegNet
DOI: 10.5281/zenodo.10810413
title: VEBA 2.0 Case Studies

description: Contains genomes, genome/protein clusters, taxonomic classifications, protein annotations, module completion ratios, biosynthetic potential (and CRISPR-Cas systems for case study 2), phylogenetic trees, and all data used for case studies.

* CaseStudy_1-MarineEukaryotes.tar.gz (72MB)* CaseStudy_2-SiberianPermafrost.tar.gz (106MB)* CaseStudy_3-WhiteTailedDeer.tar.gz (4.8MB)
DOI: 10.5281/zenodo.10780432
title: VEBA 2.0 Case Studies

description: Contains genomes, genome/protein clusters, taxonomic classifications, protein annotations, module completion ratios, biosynthetic potential (and CRISPR-Cas systems for case study 2), phylogenetic trees, and all data used for case studies.

* CaseStudy_1-MarineEukaryotes.tar.gz (72MB)* CaseStudy_2-SiberianPermafrost.tar.gz (106MB)* CaseStudy_3-WhiteTailedDeer.tar.gz (4.8MB)
DOI: 10.5281/zenodo.10780433
title: VEBA 2.0 Case Studies

description: Contains genomes, genome/protein clusters, taxonomic classifications, protein annotations, module completion ratios, biosynthetic potential (and CRISPR-Cas systems for case study 2), phylogenetic trees, and all data used for case studies.

* CaseStudy_1-MarineEukaryotes.tar.gz (72MB)* CaseStudy_2-SiberianPermafrost.tar.gz (106MB)* CaseStudy_3-WhiteTailedDeer.tar.gz (4.8MB)
DOI: 10.5281/zenodo.10810438
title: A Repackaged Taxonomic Backbone of Global Biodiversity Information Facility (GBIF)

description: Publication date:

2024-03-12T14:26:33-03:00


A Repackaged Taxonomic Backbone of Global Biodiversity Information Facility (GBIF)

---


Global Biodiversity Information Facility (GBIF) facilitates access to billions of biodiversity data records. These records include detailed accounts of life on earth.


To help records of specific life forms, GBIF provides a taxonomic backbone [1,2]. This backbone contains a long list of names used to describe species and associated hierarchies and taxonomic publications. These lists are sourced from datasets around the world.


At time of writing (18 Aug 2021), GBIF publishes a simplified version of their taxonomic backbone at [https://hosted-datasets.gbif.org/datasets/backbone/](https://hosted-datasets.gbif.org/datasets/backbone/) [1].


This repository provides script to pre-process https://hosted-datasets.gbif.org/datasets/backbone/backbone-current-simple.txt.gz to help facilitate access and improve performance of the creation of search indexes.


Pre-process steps currently include:

1. reducing amount of columns

2. reverse sort by id

3. reverse sort by name


Contents

---


README:

this file


repackage-gbif-backbone.sh:

script used to repackage GBIF Simple Backbone.


backbone-current-simple.txt.gz:

original GBIF backbone archive


gbif-backbone-by-name.tsv.gz:

two columns, gzipped, tab-separated text file with columns name, and id

reverse sorted by name


gbif-backbone-by-name.tsv.sha256:

sha256 hash of the uncompressed gbif-backbone-by-name.tsv.gz


gbif-backbone-by-id.tsv.gz:

20 columns, gzipped, tab-separated text file with first 20 columns of repackaged GBIF backbone file

reverse sorted by id


gbif-backbone-by-id.tsv.sha256:

sha256 hash of the uncompressed gbif-backbone-by-id.tsv.gz


References

---


[1] Simplied GBIF Backbone Taxonomy. Accessed at https://hosted-datasets.gbif.org/datasets/backbone/ on 2023-08-28.

[2] GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2023-08-28.


Hash URIs

---

This publication includes the following content uris:


hash://sha256/82d5f2153b4533322692d95eeb18b0f103e1b2297e38bd9ea935b07ba86cd7d5

hash://sha256/fde017e1315b4ae6fc1e1bae79f9cfd234b8ba40f6f4fb5ac031084a3b1763f0

hash://sha256/1804594be92a0e9a7b60c245925a1a488d4d98a4a38028cb0c8a420faefa36c2 (uncompressed)

hash://sha256/480926c8a1f218f8d5d76db7b4687c09ea11ab1c7ee9b0788238f2ff1eab7298

hash://sha256/8184f1e96d306ba5355e3e229d8e93eacd3fee4ab19107ae99b71bc4b9d523b6 (uncompressed)

hash://sha256/6241ffc32d0e1dbd826b36e45dfa469046ce69e671224bbb43f89996ca577955

hash://sha256/6df36a48615d9a3d7541995c6fc01da7f3ee34679d560ec619212a2c5f037679 (uncompressed)
DOI: 10.5281/zenodo.10810437
title: A Repackaged Taxonomic Backbone of Global Biodiversity Information Facility (GBIF)

description: Publication date:

2024-03-12T14:26:33-03:00


A Repackaged Taxonomic Backbone of Global Biodiversity Information Facility (GBIF)

---


Global Biodiversity Information Facility (GBIF) facilitates access to billions of biodiversity data records. These records include detailed accounts of life on earth.


To help records of specific life forms, GBIF provides a taxonomic backbone [1,2]. This backbone contains a long list of names used to describe species and associated hierarchies and taxonomic publications. These lists are sourced from datasets around the world.


At time of writing (18 Aug 2021), GBIF publishes a simplified version of their taxonomic backbone at [https://hosted-datasets.gbif.org/datasets/backbone/](https://hosted-datasets.gbif.org/datasets/backbone/) [1].


This repository provides script to pre-process https://hosted-datasets.gbif.org/datasets/backbone/backbone-current-simple.txt.gz to help facilitate access and improve performance of the creation of search indexes.


Pre-process steps currently include:

1. reducing amount of columns

2. reverse sort by id

3. reverse sort by name


Contents

---


README:

this file


repackage-gbif-backbone.sh:

script used to repackage GBIF Simple Backbone.


backbone-current-simple.txt.gz:

original GBIF backbone archive


gbif-backbone-by-name.tsv.gz:

two columns, gzipped, tab-separated text file with columns name, and id

reverse sorted by name


gbif-backbone-by-name.tsv.sha256:

sha256 hash of the uncompressed gbif-backbone-by-name.tsv.gz


gbif-backbone-by-id.tsv.gz:

20 columns, gzipped, tab-separated text file with first 20 columns of repackaged GBIF backbone file

reverse sorted by id


gbif-backbone-by-id.tsv.sha256:

sha256 hash of the uncompressed gbif-backbone-by-id.tsv.gz


References

---


[1] Simplied GBIF Backbone Taxonomy. Accessed at https://hosted-datasets.gbif.org/datasets/backbone/ on 2023-08-28.

[2] GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2023-08-28.


Hash URIs

---

This publication includes the following content uris:


hash://sha256/82d5f2153b4533322692d95eeb18b0f103e1b2297e38bd9ea935b07ba86cd7d5

hash://sha256/fde017e1315b4ae6fc1e1bae79f9cfd234b8ba40f6f4fb5ac031084a3b1763f0

hash://sha256/1804594be92a0e9a7b60c245925a1a488d4d98a4a38028cb0c8a420faefa36c2 (uncompressed)

hash://sha256/480926c8a1f218f8d5d76db7b4687c09ea11ab1c7ee9b0788238f2ff1eab7298

hash://sha256/8184f1e96d306ba5355e3e229d8e93eacd3fee4ab19107ae99b71bc4b9d523b6 (uncompressed)

hash://sha256/6241ffc32d0e1dbd826b36e45dfa469046ce69e671224bbb43f89996ca577955

hash://sha256/6df36a48615d9a3d7541995c6fc01da7f3ee34679d560ec619212a2c5f037679 (uncompressed)
DOI: 10.6084/m9.figshare.24138078.v2
title: Supplemental file for peer review.docx

description: The data describes the trends in incidence rates (IRs) of fractures in persons with Type 1 diabetes mellitus, type 2 diabetes mellitus and without diabetes, in Denmark between 1997 and 2017.
DOI: 10.25919/y12h-6r70
title: Parkes pulsar observations with undefined project IDs for 2023OCTS_20

description: Parkes pulsar observations with undefined project IDs for 2023OCTS. This collection contains observations from project IDs PX114, PX126 and PX127.
DOI: 10.5517/ccdc.csd.cc276r4c
title: CCDC 2062062: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.cc276r9j
title: CCDC 2062067: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.cc276rdm
title: CCDC 2062070: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.cc276rcl
title: CCDC 2062069: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.cc276rbk
title: CCDC 2062068: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.cc27b2k7
title: CCDC 2065268: Experimental Crystal Structure Determination

description: Related Article: Li Tan, Zhishan Luo, Qian Li, Xiaokun Fan, Chao Zou, Bin Xu, Xiaoyong Chang, Yuanzhu Zhang, Zewei Quan|2024|J.Lumin.|269|120509|doi:10.1016/j.jlumin.2024.120509
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.10810428
title: Data supporting 'Small molecule and cell contact-inducible systems for controlling expression and differentiation in stem cells'

description: Data supporting Soliman et al. 2024. Manuscript describes data collection practices and experimental design.
DOI: 10.5281/zenodo.10810429
title: Data supporting 'Small molecule and cell contact-inducible systems for controlling expression and differentiation in stem cells'

description: Data supporting Soliman et al. 2024. Manuscript describes data collection practices and experimental design.
DOI: 10.6084/m9.figshare.25345654
title: Supplementary Dataset 1

description: <b>Sup</b><b>plementary </b><b>Data</b><b>set</b><b> </b><b>1</b>. List of EPs predicted by APEX to have a median MIC &lt;=80 umol/L.
DOI: 10.6084/m9.figshare.25345654.v4
title: Supplementary Dataset 1

description: <b>Sup</b><b>plementary </b><b>Data</b><b>set</b><b> </b><b>1</b>. List of EPs predicted by APEX to have a median MIC &lt;=80 umol/L.
DOI: 10.6084/m9.figshare.25345654.v3
title: Supplementary Dataset 1

description: <b>Sup</b><b>plementary </b><b>Data</b><b>set</b><b> </b><b>1</b>. List of EPs predicted by APEX to have a median MIC &lt;=80 umol/L.
DOI: 10.6084/m9.figshare.25345648
title: Supplementary Dataset 2

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>2</b>. Information of EPs identified by APEX and validated experimentally. A total of 69 EPs predicted by APEX and selected based on our criteria were synthesized and experimentally validated. Their sequences, antimicrobial activities, and annotations are provided.
DOI: 10.6084/m9.figshare.25345648.v4
title: Supplementary Dataset 2

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>2</b>. Information of EPs identified by APEX and validated experimentally. A total of 69 EPs predicted by APEX and selected based on our criteria were synthesized and experimentally validated. Their sequences, antimicrobial activities, and annotations are provided.
DOI: 10.6084/m9.figshare.25345648.v3
title: Supplementary Dataset 2

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>2</b>. Information of EPs identified by APEX and validated experimentally. A total of 69 EPs predicted by APEX and selected based on our criteria were synthesized and experimentally validated. Their sequences, antimicrobial activities, and annotations are provided.
DOI: 10.6084/m9.figshare.25345651
title: Supplementary Dataset 3

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>3</b>. Information of EPs identified by a scoring function and validated experimentally. A total of 49 EPs predicted by a scoring function1 were synthesized and experimentally validated. Their sequences and antimicrobial activities are provided.
DOI: 10.6084/m9.figshare.25345651.v4
title: Supplementary Dataset 3

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>3</b>. Information of EPs identified by a scoring function and validated experimentally. A total of 49 EPs predicted by a scoring function1 were synthesized and experimentally validated. Their sequences and antimicrobial activities are provided.
DOI: 10.6084/m9.figshare.25345651.v3
title: Supplementary Dataset 3

description: <b>Supplementary </b><b>Data</b><b>set</b><b> </b><b>3</b>. Information of EPs identified by a scoring function and validated experimentally. A total of 49 EPs predicted by a scoring function1 were synthesized and experimentally validated. Their sequences and antimicrobial activities are provided.
DOI: 10.6084/m9.figshare.25395304
title: Concurrent agreement and test-retest reliability of a global positioning system device for measuring maximal horizontal deceleration ability in elite youth academy soccer players.

description: Concurrent agreement and test-retest reliability of a global positioning system device for measuring maximal horizontal deceleration ability in elite youth academy soccer players.
DOI: 10.5281/zenodo.7869438
title: Block-level & block group-level income projections for Washington state under different SSPs from 2020 to 2100

description: The files "bg_binned_income_proj.csv" and "bk_binned_income_proj.csv" contain income projections for Washington state (under census geographic boundary 2010)from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs). The income projections are represented by the projected household number for each of the three different income bins. In the file, GISJOIN is the unique identifier for each block (or block group) . Each household number projection is stored in a column, where the first four characters of the column name represent the projection year (e.g., 2020, 2030), the following four characters represent the SSP (e.g., SSP2, SSP3, SSP5), and the remaining characters indicate the income bin (Income1 represents annual household income less than $18,150, Income2 represents annual household income between $18,150 and $48,396, and Income3 represents annual household income greater than $48,396). For example, "2020SSP2Income1" indicates the household number projection for the first income bin in 2020 under SSP2. "README.txt" describes the general steps for income data generation.
DOI: 10.5281/zenodo.8084365
title: Block-level & block group-level income projections for Washington state under different SSPs from 2020 to 2100

description: The files "bg_binned_income_proj.csv" and "bk_binned_income_proj.csv" contain income projections for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs). The income projections are represented by the projected household number for each of the three different income bins.


In the file, GISJOIN is the unique identifier for each block (or block group) . Each household number projection is stored in a column, where the first four characters of the column name represent the projection year (e.g., 2020, 2030), the following four characters represent the SSP (e.g., SSP2, SSP3, SSP5), and the remaining characters indicate the income bin (Income1 represents annual household income less than $18,150, Income2 represents annual household income between $18,150 and $48,396, and Income3 represents annual household income greater than $48,396). For example, "2020SSP2Income1" indicates the household number projection for the first income bin in 2020 under SSP2.


"README.txt" describes the general steps for income data generation.
DOI: 10.5281/zenodo.8084378
title: Block-level & block group-level income projections for Washington state under different SSPs from 2020 to 2100

description: The files "bg_binned_income_proj.csv" and "bk_binned_income_proj.csv" contain income projections for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs). The income projections are represented by the projected household number for each of the three different income bins. For income data in 2020, 2030, and 2040, we rescaled the block/block group-level household number by income bins based on our previously downscaled block/block group-level population data (https://doi.org/10.5281/zenodo.7406280) so that the reconciliated income and the previously downscaled population align with each other. In the file, GISJOIN is the unique identifier for each block (or block group) . Each household number projection is stored in a column, where the first four characters of the column name represent the projection year (e.g., 2020, 2030), the following four characters represent the SSP (e.g., SSP2, SSP3, SSP5), and the remaining characters indicate the income bin (Income1 represents annual household income less than $18,150, Income2 represents annual household income between $18,150 and $48,396, and Income3 represents annual household income greater than $48,396). For example, "2020SSP2Income1" indicates the household number projection for the first income bin in 2020 under SSP2. "README.txt" describes the general steps for income data generation.
DOI: 10.5281/zenodo.10108728
title: Block-level & block group-level income projections for Washington state under different SSPs from 2020 to 2100

description: The files "bg_binned_income_proj.csv" and "bk_binned_income_proj.csv" contain income projections in 2015 dollars for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSP2, SSP3, and SSP5). The income projections are represented by the projected number of households for each of the three different income bins.
In the files, GISJOIN is the unique identifier for each block (or block group) . Each number of households projection is stored in a column, where the first four characters of the column name represent the projection year (e.g., 2020, 2030), the following four characters represent the SSP (e.g., SSP2, SSP3, SSP5), and the remaining characters indicate the income bin (Income1 represents annual household income less than $18,150, Income2 represents annual household income between $18,150 and $48,396, and Income3 represents annual household income greater than $48,396). For example, "2020SSP2Income1" indicates the household number projection for the first income bin in 2020 under SSP2.
"README.txt" describes the general steps for income data generation.
DOI: 10.5281/zenodo.7869437
title: Block-level & block group-level income projections for Washington state under different SSPs from 2020 to 2100

description: The files "bg_binned_income_proj.csv" and "bk_binned_income_proj.csv" contain income projections in 2015 dollars for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSP2, SSP3, and SSP5). The income projections are represented by the projected number of households for each of the three different income bins.
In the files, GISJOIN is the unique identifier for each block (or block group) . Each number of households projection is stored in a column, where the first four characters of the column name represent the projection year (e.g., 2020, 2030), the following four characters represent the SSP (e.g., SSP2, SSP3, SSP5), and the remaining characters indicate the income bin (Income1 represents annual household income less than $18,150, Income2 represents annual household income between $18,150 and $48,396, and Income3 represents annual household income greater than $48,396). For example, "2020SSP2Income1" indicates the household number projection for the first income bin in 2020 under SSP2.
"README.txt" describes the general steps for income data generation.
DOI: 10.5066/p9t61mt7
title: Depth to Groundwater Measured from Wells in the Greater Houston Area, Texas, 2023

description: This dataset documents depth to groundwater measurements made from wells screened in the Chicot aquifer, Evangeline aquifer, Jasper aquifer, Burkeville confining unit, Catahoula confining unit, or a combination of these hydrogeologic units in the greater Houston area, Texas for 2023. The U.S. Geological Survey (USGS) prepared this dataset in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater in the region. All of the data in this dataset were collected from December 2022 through March 2023 and with the exception of the furnished data and the calculated median values provided only herein, are stored in the USGS National Water Information System (NWIS), a publicly available, searchable, online database of water information (USGS, 2023).
DOI: 10.6084/m9.figshare.24182559.v5
title: Code, data and distribution layers :: Kelp forest diversity under projected end-of-century climate change

description: The data and code used in Species Distribution Modelling, the coefficient of correlation of climatic predictors, the cross-validation data splits, the spatial autocorrelation estimates per species, as well as the distribution layers (at a 0.05º resolution) per species and climate scenario.