cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/akz-wlf-hs9
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/72d-mqr-da8
title: Anthozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35k-hx8-hl3
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4bp-qnc-6ly
title: Idmonea Lamouroux, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pxf-t54-rzg
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yya-z6y-jck
title: †Favorites Tschigova, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g2l-k1z-z9c
title: Anthozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xpz-e9p-0et
title: †Stylophora contorta (Leymerie, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mg7-x0x-ld4
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ncm-dxc-g05
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wvc-7xf-tmr
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dmr-3m4-jse
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ent-40s-xzh
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fd4-z00-7gw
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t0v-206-s3q
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/03m-yhl-rqk
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7xa-3mj-g12
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/31w-bk8-w3e
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gby-7zv-ax5
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.71531/jbmvym
title: Project OPKK Monitoring - Freshwater Fish observations collected for the development of monitoring programs during 2022-2023

description: Within the framework of the OPKK project "Development of the System for Monitoring the Status of Species and Habitat Types" - GROUP 8: "Creation and Development of Monitoring Programs for Freshwater Fish with Capacity Building for Stakeholders in the Monitoring and Reporting System," new data on the abundance and distribution of 48 freshwater fish species of interest to the EU were gathered. These data were collected using methods described in the newly proposed monitoring programs, aiming to test their adequacy for long-term monitoring of species conservation status. This dataset includes observations of various species over a period 2022-2023.
DOI: 10.3535/r8w-dpn-0qz
title: †Glassia obovate Sowerby, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y1s-79z-kgj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.rvt7nf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asystasia gangetica",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083078-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x7by8
title: Occurrence Download

description: A dataset containing 1433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atlapetes canigenis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1433 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083079-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3hv4p
title: Occurrence Download

description: A dataset containing 739011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-03-11",
 "EventDate is less than or equal to 2025-04-10",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 739011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018975-250426092105405/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.28942487
title: A Multi-Modal Dataset for Teacher Behavior Analysis in Offline Classrooms

description: We introduce a multi-modal dataset (MM-TBA) for teacher behavior analysis in offline classrooms. MM-TBA is a comprehensive multi-modal dataset designed for analyzing teacher behavior in offline classroom settings. MM-TBA consists of three sub-datasets: the Teacher Teaching Action Detection Sub-Dataset, the Teacher Lecture Evaluation Sub-Dataset, and the Teaching Design Sub-Dataset. The Teacher Teaching Action Detection Sub-Dataset includes visual feature files of teachers' teaching actions and action classification annotation files. The Teacher Lecture Evaluation Sub-Dataset comprises the text of teachers' lectures and corresponding evaluation reports. The Teaching Design Sub-Dataset contains the original teaching designs and their respective annotation files. The aim of introducing MM-TBA is to promote scientific research in teacher behavior and cognitive science, provide new research tools for educational science, and foster the development of intelligent education technology. In the teacher action detection sub-dataset, out of the consideration for the protection of the subjects, we have provided the visual feature files for teacher action detection. If data users expect to obtain more teacher detection videos or images, please contact us at huangchenglei@zjnu.edu.cn.
DOI: 10.6084/m9.figshare.28942487.v1
title: A Multi-Modal Dataset for Teacher Behavior Analysis in Offline Classrooms

description: We introduce a multi-modal dataset (MM-TBA) for teacher behavior analysis in offline classrooms. MM-TBA is a comprehensive multi-modal dataset designed for analyzing teacher behavior in offline classroom settings. MM-TBA consists of three sub-datasets: the Teacher Teaching Action Detection Sub-Dataset, the Teacher Lecture Evaluation Sub-Dataset, and the Teaching Design Sub-Dataset. The Teacher Teaching Action Detection Sub-Dataset includes visual feature files of teachers' teaching actions and action classification annotation files. The Teacher Lecture Evaluation Sub-Dataset comprises the text of teachers' lectures and corresponding evaluation reports. The Teaching Design Sub-Dataset contains the original teaching designs and their respective annotation files. The aim of introducing MM-TBA is to promote scientific research in teacher behavior and cognitive science, provide new research tools for educational science, and foster the development of intelligent education technology. In the teacher action detection sub-dataset, out of the consideration for the protection of the subjects, we have provided the visual feature files for teacher action detection. If data users expect to obtain more teacher detection videos or images, please contact us at huangchenglei@zjnu.edu.cn.
DOI: 10.15468/dl.udxreb
title: Occurrence Download

description: A dataset containing 202162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Accipiter tachiro (Daudin, 1800), Accipiter minullus (Daudin, 1800), Elanus caeruleus (Desfontaines, 1789), Buteo rufofuscus (J.R.Forster, 1798), Polyboroides typus A.Smith, 1829)",
 {
 "or" : [
 "Year 1990-2000",
 "Year 2010-2020"
 ]
 }
 ]
}

 The dataset includes 202162 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018971-250426092105405/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.28942499
title: RAD23B IP mass raw data.zip

description: After lysis of colorectal cancer SW480 cells, the co-immunoprecipitation experiment was conducted using RAD23B antibody. Then, the co-precipitation products were identified by mass spectrometry to search for proteins related to RAD23B.
DOI: 10.15468/dl.yreb26
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia, Singapore)",
 "TaxonKey is Carcharhinus falciformis (Müller & Henle, 1839)",
 "Year 2000-2024"
 ]
}

 The dataset includes 111 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018982-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005384
title: 猕猴桃果实和根组织的转录数据集
DOI: 10.15468/dl.jbjxnm
title: Occurrence Download

description: A dataset containing 6987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Phoenicoparrus andinus (Philippi, 1854)",
 "Year 1000-2024"
 ]
}

 The dataset includes 6987 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018984-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8tb4g
title: Occurrence Download

description: A dataset containing 14237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Selaroides leptolepis (Cuvier, 1833)"
 ]
}

 The dataset includes 14237 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018983-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctnahh
title: Occurrence Download

description: A dataset containing 6260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Phoenicoparrus jamesi (P.L.Sclater, 1886)",
 "Year 1000-2024"
 ]
}

 The dataset includes 6260 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018986-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28157336
title: Supporting data for "A Precise shRNA Backbone for siRNA Target Screening and Quantitative microRNA Biology"

description: Over the past two decades, short hairpin RNA (shRNA) has emerged as a powerful tool for loss-of-function studies, enabling researchers to effectively silence gene expression and investigate gene function. Current shRNA backbones, however, were designed without consideration for small RNA homogeneity, resulting in imprecise processing by endogenous microRNA biogenesis machinery. This inherent limitation leads to the production of unintended small RNAs, which can be loaded onto Argonaute (AGO) proteins and yield functional small RNAs, introducing unintended gene regulation beyond the intended gene knockdown and restricting broader applications.To address this limitation, we engineered a novel shRNA backbone, named shRNAoneV4, which allows for precise processing and significantly reduces the production of unintended guides. shRNAoneV4 demonstrates enhanced small RNA homogeneity of the intended guide while expressing a library of guides with varying thermostability at both ends, making it a robust tool for precise small RNA expression in RNA interference (RNAi) screening.Furthermore, we propose that shRNA screening could replace siRNA screening, as both strategies leverage the endogenous RNAi pathway. As a proof-of-concept experiment, we applied shRNAoneV4 in an siRNA target tiling screen, utilizing a library of shRNAoneV4 targeting tiling sites on TTR transcripts. We identified two regions on TTR transcripts that contained efficient shRNA target sites, suggesting that these regions are more effective for RNAi. The efficiencies of these shRNA target sites were validated with siRNAs, underscoring the feasibility of replacing the labour-intensive siRNA screening approach with a simpler pooled shRNA screening method.Additionally, we demonstrated the utility of shRNAoneV4 in studying microRNA functions. By mimicking endogenous microRNAs with the shRNAoneV4 library, we successfully identified microRNAs that regulate sorafenib resistance in hepatocellular carcinoma (HCC). This highlights the potential of exploiting shRNAoneV4 to investigate microRNA functions in various biological contexts—an endeavour that was hindered by previous shRNA backbones due to noise introduced by imprecisely processed small RNAs. Moreover, libraries encoding microRNA variants revealed microRNAs that rely on non-seed regions for target recognition, facilitating studies on the principles governing non-seed contributions to defining target sites.In conclusion, we present a new gold standard shRNA backbone to the research community worldwide, opening a reliable approach for RNAi screening. Our findings demonstrate the feasibility of employing this RNAi screening strategy for the large-scale identification of microRNA functions, thereby accelerating the research community’s understanding of microRNAs’ roles in various biological processes.
DOI: 10.6084/m9.figshare.28942601
title: <b>The genome of </b><b><i>Ensifer</i></b><b> A1</b>

description: The genome of <i>E</i><i>nsifer</i> A1, which was isolated from the roots of W82.
DOI: 10.6084/m9.figshare.28942601.v1
title: <b>The genome of </b><b><i>Ensifer</i></b><b> A1</b>

description: The genome of <i>E</i><i>nsifer</i> A1, which was isolated from the roots of W82.
DOI: 10.5281/zenodo.15336806
title: Decision Analysis of Peat-Adapted Agroforestry Interventions in South Sumatra

description: A repository containing all input data tables, figures and model scripts supporting the article "Understanding Adoption Risks of Peat-Adapted Agroforestry Options in South Sumatra Through Decision Analysis".
DOI: 10.5281/zenodo.15336807
title: Decision Analysis of Peat-Adapted Agroforestry Interventions in South Sumatra

description: A repository containing all input data tables, figures and model scripts supporting the article "Understanding Adoption Risks of Peat-Adapted Agroforestry Options in South Sumatra Through Decision Analysis".
DOI: 10.15468/dl.nnqnad
title: Occurrence Download

description: A dataset containing 328759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-04-11",
 "EventDate is less than or equal to 2025-05-11",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 328759 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018981-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59un6y
title: Occurrence Download

description: A dataset containing 177561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fusarium Link, 1809"
 ]
}

 The dataset includes 177561 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018985-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kaaj8s
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Indonesia, Singapore)",
 "TaxonKey is Carcharhinus leucas (Müller & Henle, 1839)",
 "Year 2000-2024"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018988-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005662.v1.0.0
title: A high-quality EEG dataset for studying visual touch perception
DOI: 10.15468/dl.hewjgz
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Selaroides leptolepis (Cuvier, 1833)"
 ]
}

 The dataset includes 105 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018992-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq85d2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Saussurea nanzhengensis (Asteraceae, Saussurea), a new species from Bashan Mountain, Central China"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018991-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14504763
title: A deep learning method for predicting interactions for intrinsically disordered regions of proteins

description: Note to user

The files have been organized according to the directory structure that is needed for running the scripts.

Disobind training set includes the train, development, and in-distribution test set.

 

This dataset contains the following:

disobind/

Zipped GitHub file.

prose and ProstT5 GitHub repo used.

database/





Combined_PDBs.tar.gz: a zipped file containing all PDB structures.




Mapped_PDBs.tar.gz: a zipped file containing SIFTS mapping for all PDB entries.




PDB_api.tar.gz: a zipped file containing entry and entity-level information from PDB API as JSON files.




v_19:






AF2_preds: AlphaFold-multimer predictions for OOD test set.




AF3_preds: AlphaFold3 predictions for OOD test set.




Target_bcmap_test_v_19.h5: target contact maps for OOD test set.




Target_bcmap_train_v_19.h5: target contact maps for Disobind training set.




Uniprot_seq.json: JSON file containing UniProt sequences for all UniProt accessions included in the dataset.




prot_1-2_test_v_19.csv: entry IDs for all merged binary complexes in the OOD test set.




prot_1-2_train_v_19.csv: entry IDs for all merged binary complexes in the Disobind training set.




T5/






global-None: contains ProtT5-global embeddings for the train, development, and in-distribution test set.




local-None: contains ProtT5-local embeddings for the train, development, and in-distribution test set.




train_fasta_global-None_v_19.fasta: FASTA file used as input for creating ProtT5-global embeddings for train, development, and in-distribution test set.




train_fasta_local-None_v_19.fasta: FASTA file used as input for creating ProtT5-local embeddings train, development, and in-distribution test set.
DOI: 10.5281/zenodo.15350916
title: A deep learning method for predicting interactions for intrinsically disordered regions of proteins

description: Note to user

The files have been organized according to the directory structure that is needed for running the scripts.

Disobind training set includes the train, development, and in-distribution test set.

 

This dataset contains the following:

disobind/

Zipped GitHub file.

prose and ProstT5 GitHub repo used.

database/





Combined_PDBs.tar.gz: a zipped file containing all PDB structures.




Mapped_PDBs.tar.gz: a zipped file containing SIFTS mapping for all PDB entries.




PDB_api.tar.gz: a zipped file containing entry and entity-level information from PDB API as JSON files.




v_19:






AF2_preds: AlphaFold-multimer predictions for OOD test set.




AF3_preds: AlphaFold3 predictions for OOD test set.




Target_bcmap_test_v_19.h5: target contact maps for OOD test set.




Target_bcmap_train_v_19.h5: target contact maps for Disobind training set.




Uniprot_seq.json: JSON file containing UniProt sequences for all UniProt accessions included in the dataset.




prot_1-2_test_v_19.csv: entry IDs for all merged binary complexes in the OOD test set.




prot_1-2_train_v_19.csv: entry IDs for all merged binary complexes in the Disobind training set.




T5/






global-None: contains ProtT5-global embeddings for the train, development, and in-distribution test set.




local-None: contains ProtT5-local embeddings for the train, development, and in-distribution test set.




train_fasta_global-None_v_19.fasta: FASTA file used as input for creating ProtT5-global embeddings for train, development, and in-distribution test set.




train_fasta_local-None_v_19.fasta: FASTA file used as input for creating ProtT5-local embeddings train, development, and in-distribution test set.