cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/pcra-c14-193695
title: Khristiaskiy vestnik = [Christian herald], vol. 21, whole no. 241-243 (1957 October-December)

description: [description english/roman)] The Christian Herald was an informational organ of the Union of Pentecostal churches of "Assemblies of God" in South America. The journal was founded in August 1937 at the founding meeting of the Slavic Pentecostal churches of South America. Believers from Argentina, Paraguay, Uruguay and Brazil were present at the meeting. The purpose of the journal was to "carry unity and communication of the Spirit to the midst of believers in full Gospel". The journal united Pentecostal churches and became a link which connected believers scattered all over the world. Thus, letters of Christians of Evangelical faith from Germany, Belgium, France, the Netherlands, Canada, the United States, Uruguay, Paraguay, the Philippines, China, Australia and other countries were published in the journal journal. The first issue was published in Russia in October 1937. Subsequently, the journal spread to 40 countries where the Slavic diaspora lived. The headquarters of the journal was located in Buenos Aires. Juan Zub-Zolotarow was responsible for the journal. He was a permanent editor for 42 years. The journal was published for offerings of believers. Spiritually-edifying and theological articles of Donald Gee, Alfred Goets, R. Bratslavsky, N. Vodnevsky, D. Bespalov were published in the journal. On the last pages, as a rule, information from local churches and the mission and evangelical fields of North and South America, Canada, Africa, Australia, India, Europe and China was published. Thus the activity of such evangelists as Oral Roberts, Billy Graham, T. Giks, and William Brankham was reported in detail.
DOI: 10.15468/dl.tefdtw
title: Occurrence Download

description: A dataset containing 24827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 24827 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257436-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpaw8d
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario HUTI de la Universidad Tecnológica Indoamérica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010062-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzmfp5
title: Occurrence Download

description: A dataset containing 4817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ateles geoffroyi Kuhl, 1820",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4817 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257431-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-182156
title: Primiritel' = [Reconciler], 1994, no. 2, whole no. 15

description: [description english/roman)] Primiritel', 1994, no. 2, obshchiy no. 15 = [Reconciler], 1994, no. 2, whole no. 15. Founded in 1929, relaunched in 1991.
DOI: 10.15468/dl.qvrwjc
title: Occurrence Download

description: A dataset containing 29672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophura leucomelanos (Latham, 1790)"
 ]
}

 The dataset includes 29672 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273424-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7386z
title: Occurrence Download

description: A dataset containing 1375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1375 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011513-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-182306
title: Primiritel' = [Reconciler], 1996, no. 1, whole no. 22

description: [description english/roman)] Primiritel', 1996, no. 1, obshchiy no. 22 = [Reconciler], 1996, no. 1, whole no. 22. Founded in 1929, relaunched in 1991.
DOI: 10.15468/dl.byhw22
title: Occurrence Download

description: A dataset containing 2259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xerolenta obvia (Menke, 1828))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2259 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws8965
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lacandonia schismatica E.Martínez & Ramos"
 ]
}

 The dataset includes 39 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010078-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-182313
title: Primiritel' = [Reconciler], 1996, no. 1, whole no. 22

description: [description english/roman)] Primiritel', 1996, no. 1, obshchiy no. 22 = [Reconciler], 1996, no. 1, whole no. 22. Founded in 1929, relaunched in 1991.
DOI: 10.15468/dl.evtvr5
title: Occurrence Download

description: A dataset containing 30532963 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 30532963 records from 4059 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010091-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgqkx3
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((118.46118 24.5181,118.41089 24.53915,118.36564 24.50255,118.29524 24.49614,118.22484 24.45953,118.19907 24.4391,118.20558 24.3727,118.24855 24.31219,119.30067 22.81617,119.85744 21.49673,121.8513 21.5362,122.26228 24.34724,122.34235 25.4732,120.78273 25.49412,118.89211 24.51249,118.46118 24.5181))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trigonidiidae"
 ]
}

 The dataset's 17 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015897-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfwjf9
title: Occurrence Download

description: A dataset containing 6373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylopterus volitans (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6373 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015906-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bf32p
title: Occurrence Download

description: A dataset listing the 4008340 species recorded in GBIF matching the query:
{ }

 The dataset's 4008340 records were derived from 69385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015883-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14267124
title: Data and code for peer review - MEE-24-11-799
DOI: 10.5281/zenodo.14267125
title: Data and code for peer review - MEE-24-11-799
DOI: 10.5281/zenodo.11070823
title: PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery

description: Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the changes of PPB binding affinities upon mutations, but there was a scarcity of studies predicting the PPB affinity itself. The major reason is the paucity of open-source dataset with PPB affinity data. To address this gap, the current study introduced a large comprehensive PPB affinity (PPB-Affinity) dataset. The PPB-Affinity dataset contains key information such as crystal structures of protein-protein complexes (with or without protein mutation patterns), PPB affinity, receptor protein chain, ligand protein chain, etc. To the best of our knowledge, this is the largest publicly available PPB affinity dataset, and we believe it will significantly advance drug discovery by streamlining the screening of potential large-molecule drugs. We also developed a deep-learning benchmark model with this dataset to predict the PPB affinity, providing a foundational comparison for the research community.

Codes for PPB-Affinity database preparation is  disclosed at https://github.com/Huatsing-Lau/PPB-Affinity-DataPrepWorkflow.Codes for the benchmark algorithm is disclosed at https://github.com/ChenPy00/PPB-Affinity.

The article related to the PPB-Affinity dataset can be found at https://doi.org/10.1038/s41597-024-03997-4.

Files are orginized as follows:

- PPB-Affinity.xlsx

- samples_deleted.zip

- PPB-Affinity-AF.zip

- PDB/

  - Affinity Benchmark v5.5/

    - file1.pdb

    - file2.pdb

    - ...

    - filek.pdb

  - ATLAS/

  - PDBbind v2020/

  - SAbDab/

  - SKEMPIv2.0/
DOI: 10.5281/zenodo.11070824
title: PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery

description: Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the change of PPB binding affinity upon mutation, but there was a scarcity of studies predicting the PPB affinity itself. The major reason is the paucity of open-source dataset concerning PPB affinity. Therefore, the current study aimed to introduce and disclose a PPB affinity dataset (PPB-Affinity), which will definitely benefit the development of applicable DL to predict the PPB affinity. The PPB-Affinity dataset contains key information such as crystal structures of protein-protein complexes (with or without protein mutation patterns), PPB affinity, receptor protein chain, ligand protein chain, etc. To the best of our knowledge, this is the largest and publicly available PPB-Affinity dataset, which may finally help the industry in improving the screening efficiency of discovering new large-molecular drugs.

Files are orginized as follows:

- PPB-Affinity.xlsx

- PDB/

  - Affinity Benchmark/

    - file1.pdb

    - file2.pdb

  - ATLAS/

  - PDBbindCN/

  - SAbDab/

  - SKEMPIv2.0/
DOI: 10.5281/zenodo.13054646
title: PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery

description: Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the change of PPB binding affinity upon mutation, but there was a scarcity of studies predicting the PPB affinity itself. The major reason is the paucity of open-source dataset concerning PPB affinity. Therefore, the current study aimed to introduce and disclose a PPB affinity dataset (PPB-Affinity), which will definitely benefit the development of applicable DL to predict the PPB affinity. The PPB-Affinity dataset contains key information such as crystal structures of protein-protein complexes (with or without protein mutation patterns), PPB affinity, receptor protein chain, ligand protein chain, etc. To the best of our knowledge, this is the largest and publicly available PPB-Affinity dataset, which may finally help the industry in improving the screening efficiency of discovering new large-molecular drugs.

Codes for PPB-Affinity database preparation is  disclosed at https://github.com/Huatsing-Lau/PPB-Affinity-DataPrepWorkflow.Codes for the benchmark algorithm is disclosed at https://github.com/ChenPy00/PPB-Affinity.

Files are orginized as follows:

- PPB-Affinity.xlsx

- samples_deleted.zip

- PDB/

  - Affinity Benchmark v5.5/

    - file1.pdb

    - file2.pdb

    - ...

    - filek.pdb

  - ATLAS/

  - PDBbind v2020/

  - SAbDab/

  - SKEMPIv2.0/
DOI: 10.5281/zenodo.13067409
title: PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery

description: Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the changes of PPB binding affinities upon mutations, but there was a scarcity of studies predicting the PPB affinity itself. The major reason is the paucity of open-source dataset with PPB affinity data. To address this gap, the current study introduced a large comprehensive PPB affinity (PPB-Affinity) dataset. The PPB-Affinity dataset contains key information such as crystal structures of protein-protein complexes (with or without protein mutation patterns), PPB affinity, receptor protein chain, ligand protein chain, etc. To the best of our knowledge, this is the largest publicly available PPB affinity dataset, and we believe it will significantly advance drug discovery by streamlining the screening of potential large-molecule drugs. We also developed a deep-learning benchmark model with this dataset to predict the PPB affinity, providing a foundational comparison for the research community.

Codes for PPB-Affinity database preparation is  disclosed at https://github.com/Huatsing-Lau/PPB-Affinity-DataPrepWorkflow.Codes for the benchmark algorithm is disclosed at https://github.com/ChenPy00/PPB-Affinity.

Files are orginized as follows:

- PPB-Affinity.xlsx

- samples_deleted.zip

- PPB-Affinity-AF.zip

- PDB/

  - Affinity Benchmark v5.5/

    - file1.pdb

    - file2.pdb

    - ...

    - filek.pdb

  - ATLAS/

  - PDBbind v2020/

  - SAbDab/

  - SKEMPIv2.0/
DOI: 10.15468/dl.q4wr7q
title: Occurrence Download

description: A dataset containing 1095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence, Human Observation)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Malus Mill.",
 "Year 1980-2024"
 ]
}

 The dataset includes 1095 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015915-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt3v3t
title: Occurrence Download

description: A dataset containing 123147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, December, November, October, March)",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis Kaup, 1829"
 ]
}

 The dataset includes 123147 records from 1363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015909-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7qqnm
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diaphus holti Tåning, 1918",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 522 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015918-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cdw23
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptis quinquesecta W.T.Wang"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015912-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ey2q6s
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Siganus fuscescens (Houttuyn, 1782)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 389 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015921-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15187188
title: Inferring virus-host interactions through multi-omics high-resolution time series Data

description: This resource contains data originating from the JGI project, "Inferring virus-host interactions through multi-omics high-resolution time series" (see award and files).

img_data.tsv.gz contains gene-level data from assembled metatranscriptomic transcripts. The table merges data products generated by the IMG Annotation Pipeline (v5.0.23). There are 104 metatranscriptomic samples that are included with sample metadata.

cast_ctd.csv contains oceanographic measurements collected by CTD rosette concomitantly with the metatranscriptomic samples.
DOI: 10.5281/zenodo.15200615
title: Inferring virus-host interactions through multi-omics high-resolution time series Project Data

description: This resource contains data originating from the JGI project, "Inferring virus-host interactions through multi-omics high-resolution time series" (see award and files).

img_data_integration.md explains various files in this record and shows how they were generated, including the code.

img_data.tsv.gz contains gene-level data from assembled metatranscriptomic transcripts. The table merges data products generated by the IMG Annotation Pipeline (v5.0.23). There are 104 metatranscriptomic samples that are included with sample metadata.

cast_ctd.csv contains oceanographic measurements collected by CTD rosette concomitantly with the metatranscriptomic samples.

INVIRT19_metaT_metadata.txt contains metatranscriptomic sample metadata provided by Daniel Muratore that also applies to the samples in the paper, "Diel partitioning in microbial phosphorus acquisition in the Sargasso Sea."

cognames2003-2014.tab, tigr_names.txt, and ko_list.txt contain function names used in img_data.tsv.

v2 fixes the sample "date" column in img_data.tsv, which was not complete in v1. Additional files are also included in this release.
DOI: 10.15468/dl.9kzx7d
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peracarpa carnosa (Wall.) Hook.f. & Thomson",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 645 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005593-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzevuq
title: Occurrence Download

description: A dataset containing 920229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argyrotegium poliochlorum (N.G.Walsh) J.M.Ward & Breitw., Phleum alpinum L., Poa alpina L., Potentilla crantzii (Crantz) Beck ex Fritsch, Ranunculus acris L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 920229 records from 1701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074325-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cj7vs
title: Occurrence Download

description: A dataset containing 23834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pistia stratiotes L."
 ]
}

 The dataset includes 23834 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001485-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nztvgp
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperocnide sandwicensis (Wedd.) Wedd."
 ]
}

 The dataset includes 54 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001488-250310093411724/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.28558595
title: Serum aldo by LC-MS 2025 Heanue for rebuttal.prism

description: <b>LC-SM for serum aldosterone </b>Serum aldosterone was determined by LC-MS in mice administered vehicle and aldosterone. Steroids were extracted using a single-phase butanol:methanol extraction of 100uL of serum. 1ml of 1:1 butanol:methanol was added to each sample to precipitate proteins. The organic phase containing the steroids was dried down and reconstituted in 50% methanol in water and sonicated in a batch sonicator for 15 minutes prior to injection on an Agilent 6495C triple quad mass spectrometer coupled with an Agilent 1290 HPLC.