cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ppxp22
title: Occurrence Download

description: A dataset containing 912 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manihot jacobinensis Müll.Arg."
 ]
}

 The dataset includes 912 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021658-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12067123
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.eqv4fa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021660-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.26346745
title: Fusarium asiaticum pangenome annotation data

description: Annotation Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.6084/m9.figshare.26346745.v1
title: Fusarium asiaticum pangenome annotation data

description: Annotation Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.6084/m9.figshare.26346745.v2
title: Fusarium asiaticum pangenome annotation data

description: Annotation Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.5281/zenodo.15598702
title: From Strategy to Success: Building a GCC Business Case for German Multinationals

description: A GCC Business Case For German MNCs is designed to provide German multinationals with a clear view of the Gulf region's evolving business environment. With robust investment incentives, tax advantages, and expanding free zones, the GCC is becoming a hub for global innovation. This case delves into regional dynamics, legal frameworks, and sector-specific potential. Inductus GCC supports clients from early-stage planning to execution—ensuring that expansion efforts align with both German business values and Gulf market realities. The goal is to turn opportunity into long-term success.
DOI: 10.5281/zenodo.15598703
title: From Strategy to Success: Building a GCC Business Case for German Multinationals

description: A GCC Business Case For German MNCs is designed to provide German multinationals with a clear view of the Gulf region's evolving business environment. With robust investment incentives, tax advantages, and expanding free zones, the GCC is becoming a hub for global innovation. This case delves into regional dynamics, legal frameworks, and sector-specific potential. Inductus GCC supports clients from early-stage planning to execution—ensuring that expansion efforts align with both German business values and Gulf market realities. The goal is to turn opportunity into long-term success.
DOI: 10.5281/zenodo.15598948
title: Dental raw mesowear and microwear data for the equids from Nesher Ramla

description: Raw data from the low-magnification analysis (x35) of dental microwear and mesowear analysis of Equus ferus, Equus hydruntinus and Equus hemionus from Nesher Ramla (Israel).
DOI: 10.5281/zenodo.15598949
title: Dental raw mesowear and microwear data for the equids from Nesher Ramla

description: Raw data from the low-magnification analysis (x35) of dental microwear and mesowear analysis of Equus ferus, Equus hydruntinus and Equus hemionus from Nesher Ramla (Israel).
DOI: 10.15468/dl.d66u8a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021661-250525065834625/datasets/export for details.
DOI: 10.15468/dl.wren3t
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maranta furcata Nees & Mart."
 ]
}

 The dataset includes 70 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021662-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14837816
title: Interpreting Protein Language Models through Sparse Autoencoders - Datasets

description: This zenodo repository contains the following files:

Datasets



astral-40-20.08.csv: List of sequences from SCOPe version 2.08 filtered to 40% sequence identity. 

sprot_protein.csv: Protein sequences from Uniprot SwissProt version 2024_01, plus additional high level annotations.

sprot_aminoacid.csv: Selected annotations at the amino acid level for the Uniprot SwissProt proteins version 2024_01.


Sparse AutoEncoder Data



esm2_6_31.pt: Weights for a vanilla Sparse AutoEncoder trained on embeddings from layer 3 of the smallest ESM-2. 

esm2_6_31_cfg.json: Config file with parameters for the Sparse AutoEncoder.


Latent - Feature Labels Dataset



label_latent_pairs.csv: Table with a list of SAE latent components and uniprot feature label associations (putative interpretations). 


References

UniProt: the Universal Protein Knowledgebase in 2025. The UniProt Consortium. Nucleic Acids Research, Volume 53, Issue D1, 6 January 2025, Pages D609–D617,https://doi.org/10.1093/nar/gkae1010

SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures. Naomi K. Fox, Steven E. Brenner, John-Marc Chandonia. Nucleic Acids Research, Volume 42, Issue D1, 1 January 2014, Pages D304–D309, https://doi.org/10.1093/nar/gkt1240
DOI: 10.5281/zenodo.14837817
title: Interpreting Protein Language Models through Sparse Autoencoders - Datasets

description: This zenodo repository contains the following files:

Datasets



astral-40-20.08.csv: List of sequences from SCOPe version 2.08 filtered to 40% sequence identity. 

sprot_protein.csv: Protein sequences from Uniprot SwissProt version 2024_01, plus additional high level annotations.

sprot_aminoacid.csv: Selected annotations at the amino acid level for the Uniprot SwissProt proteins version 2024_01.


Sparse AutoEncoder Data



esm2_6_31.pt: Weights for a vanilla Sparse AutoEncoder trained on embeddings from layer 3 of the smallest ESM-2. 

esm2_6_31_cfg.json: Config file with parameters for the Sparse AutoEncoder.


Latent - Feature Labels Dataset



label_latent_pairs.csv: Table with a list of SAE latent components and uniprot feature label associations (putative interpretations). 


References

UniProt: the Universal Protein Knowledgebase in 2025. The UniProt Consortium. Nucleic Acids Research, Volume 53, Issue D1, 6 January 2025, Pages D609–D617,https://doi.org/10.1093/nar/gkae1010

SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures. Naomi K. Fox, Steven E. Brenner, John-Marc Chandonia. Nucleic Acids Research, Volume 42, Issue D1, 1 January 2014, Pages D304–D309, https://doi.org/10.1093/nar/gkt1240
DOI: 10.15468/dl.pbv2t7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021663-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15599082
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250605h Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250605h Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15599083
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250605h Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250605h Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.ze2qrp
title: Occurrence Download

description: A dataset containing 1180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Colombia, Argentina)",
 "OccurrenceStatus is Present",
 "TaxonKey is Morpho Fabricius, 1807"
 ]
}

 The dataset includes 1180 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021664-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15598838
title: Papers and citations for Russian University Journals

description: The database includes information on papers and citations for Russian journals published by Federal universities, National Research universities and Basic universities in 2018-2022. Citation data are actual as of May 2025.
DOI: 10.17632/98ht8nnht3
title: USP48 protects against myocardial ischemia-reperfusion injury by stabilizing and upregulating CNN1 in type 1 diabetes mice

description: Ubiquitin-specific protease 48 (USP48) plays an important role in the regulation of DNA repair and immune signaling in health and diseases. Nonetheless, its implication in the development of diabetes-accelerated myocardial ischemia/reperfusion (I/R) injury (MI/RI) has yet to be clarified. Diabetic mice were constructed by streptozotocin (STZ) injection, and MI/RI was then induced by coronary artery occlusion and reperfusion. H9c2 cells were exposed to high glucose (HG) for 24 h, followed by hypoxia/reoxygenation (H/R) for 4 and 2 h, respectively. USP48 protein and mRNA levels were downregulated in MI/RI mice or H/R-exposed cardiomyocytes, but were unexpectedly upregulated in diabetic mice following MI/RI and H9c2 cells exposed to HG and H/R. Cardiac-specific deficiency of USP48 worsened cardiac dysfunction, increased post-ischemic infarction size, promoted mitochondrial damage in myocardial cells, accelerated cardiomyocyte inflammation, oxidative stress, and apoptosis in diabetic mice. Conversely, such pathological conditions were ameliorated by cardiac-specific overexpression of USP48. Proteomics and experimental validation showed that USP48 stabilized and upregulated calponin 1 (CNN1) to confer cardioprotection, since silencing CNN1 minimized the benefits of USP48 in diabetes-aggravated cardiomyocyte injury. RNA sequencing and experimental data demonstrated that the USP48/CNN1 axis inhibited the release of CXC motif chemokine ligand 1 (CXCL1) and CXCL2 through inactivating the ERK1/2 pathway. Eventually, blockade of CXCL1/2 with specific antibodies protected against diabetes-exacerbated MI/RI akin to UPS48 overexpression. Together, these results highlight USP48 as a potential therapeutic target for managing diabetes-aggravated MI/RI by regulating the CNN1/ERK1/2/CXCL1/2 signaling pathway. For this article, we had provided all original data with free access to all readers.
DOI: 10.17632/98ht8nnht3.1
title: USP48 protects against myocardial ischemia-reperfusion injury by stabilizing and upregulating CNN1 in type 1 diabetes mice

description: Ubiquitin-specific protease 48 (USP48) plays an important role in the regulation of DNA repair and immune signaling in health and diseases. Nonetheless, its implication in the development of diabetes-accelerated myocardial ischemia/reperfusion (I/R) injury (MI/RI) has yet to be clarified. Diabetic mice were constructed by streptozotocin (STZ) injection, and MI/RI was then induced by coronary artery occlusion and reperfusion. H9c2 cells were exposed to high glucose (HG) for 24 h, followed by hypoxia/reoxygenation (H/R) for 4 and 2 h, respectively. USP48 protein and mRNA levels were downregulated in MI/RI mice or H/R-exposed cardiomyocytes, but were unexpectedly upregulated in diabetic mice following MI/RI and H9c2 cells exposed to HG and H/R. Cardiac-specific deficiency of USP48 worsened cardiac dysfunction, increased post-ischemic infarction size, promoted mitochondrial damage in myocardial cells, accelerated cardiomyocyte inflammation, oxidative stress, and apoptosis in diabetic mice. Conversely, such pathological conditions were ameliorated by cardiac-specific overexpression of USP48. Proteomics and experimental validation showed that USP48 stabilized and upregulated calponin 1 (CNN1) to confer cardioprotection, since silencing CNN1 minimized the benefits of USP48 in diabetes-aggravated cardiomyocyte injury. RNA sequencing and experimental data demonstrated that the USP48/CNN1 axis inhibited the release of CXC motif chemokine ligand 1 (CXCL1) and CXCL2 through inactivating the ERK1/2 pathway. Eventually, blockade of CXCL1/2 with specific antibodies protected against diabetes-exacerbated MI/RI akin to UPS48 overexpression. Together, these results highlight USP48 as a potential therapeutic target for managing diabetes-aggravated MI/RI by regulating the CNN1/ERK1/2/CXCL1/2 signaling pathway. For this article, we had provided all original data with free access to all readers.
DOI: 10.15468/dl.9va3ks
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Markea spruceana Hunz."
 ]
}

 The dataset includes 38 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021665-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y24fj5gn64
title: Large-scale importance of bark beetle outbreaks for standing deadwood and woodpeckers

description: Woodpecker counts - Data from 40 regions of Switzerland
Data associated with Basile et al. (2025) Large-scale importance of bark beetle outbreaks for standing deadwood and woodpeckers. Journal of Animal Ecology
Authors Marco Basile, Gilberto Pasinelli, Sophie Stroheker, Meinrad Abegg, Kurt Bollmann, Martin M. Gossner, Thomas Sattler, Eckehard G. Brockerhoff
The species covered are great spotted woodpecker Dendrocopos major, black woodpecker Dryocopus martius, Eurasian three-toed woodepecker Picoides tridactylus.
Data correspond to the number of territories in each region.
Count data were kindly provided by the Swiss Ornithological Institute. Further information can be requested by contacting the corresponding author or data@vogelwarte.ch (code for query: ####.count, with #### = year, e.g., 2000.count = count data for year 2000).
DOI: 10.17632/y24fj5gn64.1
title: Large-scale importance of bark beetle outbreaks for standing deadwood and woodpeckers

description: Woodpecker counts - Data from 40 regions of Switzerland
Data associated with Basile et al. (2025) Large-scale importance of bark beetle outbreaks for standing deadwood and woodpeckers. Journal of Animal Ecology
Authors Marco Basile, Gilberto Pasinelli, Sophie Stroheker, Meinrad Abegg, Kurt Bollmann, Martin M. Gossner, Thomas Sattler, Eckehard G. Brockerhoff
The species covered are great spotted woodpecker Dendrocopos major, black woodpecker Dryocopus martius, Eurasian three-toed woodepecker Picoides tridactylus.
Data correspond to the number of territories in each region.
Count data were kindly provided by the Swiss Ornithological Institute. Further information can be requested by contacting the corresponding author or data@vogelwarte.ch (code for query: ####.count, with #### = year, e.g., 2000.count = count data for year 2000).
DOI: 10.15468/dl.v55xxe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo seeberi Gilchrist & Thompson, 1911",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021666-250525065834625/datasets/export for details.
DOI: 10.17632/np9k5xhtwc
title: Research on the influence of exoskeleton dislocation on human knee joint based on human-machine coupling simulation

description: The data in the database are supplementary data for the article entitled ' Research on the influence of dislocation on human knee joint based on human-machine coupling simulation ', which mainly includes the chart data in the article.
DOI: 10.17632/np9k5xhtwc.1
title: Research on the influence of exoskeleton dislocation on human knee joint based on human-machine coupling simulation

description: The data in the database are supplementary data for the article entitled ' Research on the influence of dislocation on human knee joint based on human-machine coupling simulation ', which mainly includes the chart data in the article.
DOI: 10.6084/m9.figshare.29244626
title: Genotypic_data_on_indicine_breeds

description: This dataset contains SNP genotypes from cattle sampled from different breeds in India. The data was collected to analyze genetic diversity and breed relationships. It includes genotype files in PLINK format, with corresponding metadata files. The dataset is shared under a CC BY 4.0 license to support reuse and further research, provided appropriate credit is given.
DOI: 10.6084/m9.figshare.29244626.v1
title: Genotypic_data_on_indicine_breeds

description: This dataset contains SNP genotypes from cattle sampled from different breeds in India. The data was collected to analyze genetic diversity and breed relationships. It includes genotype files in PLINK format, with corresponding metadata files. The dataset is shared under a CC BY 4.0 license to support reuse and further research, provided appropriate credit is given.
DOI: 10.17632/kntjzw468p.1
title: Framework for automatic composition of videos.

description: In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis.
DOI: 10.17632/kntjzw468p.2
title: Framework for automatic composition of videos.

description: In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis.



The python app is made in the Flask library and is used for evaluating the quality of SQL queries generated. These SQL queries are generated at runtime and gets their input parameter/ search arguments from the LLM. Basically, the LLM gives the extracted keywords from the input Love Letters script. The DAR system helps us evaluate and compute its performance parameters automatically as we go through the evaluation process.
DOI: 10.17632/kntjzw468p.3
title: Framework for automatic composition of videos.

description: In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis.



The python app is made in the Flask library and is used for evaluating the quality of SQL queries generated. These SQL queries are generated at runtime and gets their input parameter/ search arguments from the LLM. Basically, the LLM gives the extracted keywords from the input Love Letters script. The DAR system helps us evaluate and compute its performance parameters automatically as we go through the evaluation process.
DOI: 10.17632/kntjzw468p.4
title: Framework for automatic composition of videos.

description: In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis.



The python app is made in the Flask library and is used for evaluating the quality of SQL queries generated. These SQL queries are generated at runtime and gets their input parameter/ search arguments from the LLM. Basically, the LLM gives the extracted keywords from the input Love Letters script. The DAR system helps us evaluate and compute its performance parameters automatically as we go through the evaluation process.
DOI: 10.17632/v27c3fpck2
title: Climate dynamics and mammalian faunal turnover in northern China since the Late Pliocene

description: research data
DOI: 10.17632/v27c3fpck2.1
title: Climate dynamics and mammalian faunal turnover in northern China since the Late Pliocene

description: research data
DOI: 10.17632/kntjzw468p.5
title: Framework for automatic composition of videos.

description: In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis.



The python app is made in the Flask library and is used for evaluating the quality of SQL queries generated. These SQL queries are generated at runtime and gets their input parameter/ search arguments from the LLM. Basically, the LLM gives the extracted keywords from the input Love Letters script. The DAR system helps us evaluate and compute its performance parameters automatically as we go through the evaluation process.
DOI: 10.57745/9nyfus
title: T266_CAPRI_scoring.pdb.gz

description: :unav