cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ppbk7p
title: Occurrence Download

description: A dataset containing 89212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present",
 "StateProvince is Maharashtra",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 89212 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064076-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dppfhc
title: Occurrence Download

description: A dataset containing 122797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Blattodea)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Material citation, Living Specimen)",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 122797 records from 369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064098-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82dq25
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "OccurrenceStatus is Present",
 "StateProvince is Telangana",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 229 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064121-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17295283
title: BPIC19 event logs: 3-way matching, invoice before goods receipt

description: For proof of concept, our paper, titled "Bridging Imperative Process Models and Process Data Queries—Translation and Relaxation," uses the BPI Challenge 2019 (BPIC19) dataset [1]. We selected the 3-way matching, invoice before goods receipt model from the winning submission by Diba et al. [2]; it covers 86.36% (217,406) of the 251,734 cases in the original event log. 

1. BPI Challenge 2019. (2019). BPI Challenge 2019. Retrieved October 8, 2025, from https://icpmconference.org/2019/icpm-2019/contests-challenges/bpi-challenge-2019/

2. Diba, K., Remy, S., Pufahl, L.: Compliance and performance analysis of procurement processes using process mining. In: BPM Workshops (2019)
DOI: 10.5281/zenodo.17295282
title: BPIC19 event logs: 3-way matching, invoice before goods receipt

description: For proof of concept, our paper, titled "Bridging Imperative Process Models and Process Data Queries—Translation and Relaxation," uses the BPI Challenge 2019 (BPIC19) dataset [1]. We selected the 3-way matching, invoice before goods receipt model from the winning submission by Diba et al. [2]; it covers 86.36% (217,406) of the 251,734 cases in the original event log. 

1. BPI Challenge 2019. (2019). BPI Challenge 2019. Retrieved October 8, 2025, from https://icpmconference.org/2019/icpm-2019/contests-challenges/bpi-challenge-2019/

2. Diba, K., Remy, S., Pufahl, L.: Compliance and performance analysis of procurement processes using process mining. In: BPM Workshops (2019)
DOI: 10.15468/dl.4xq3b4
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pavetta hongkongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 532 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064122-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5ydk3
title: Occurrence Download

description: A dataset containing 2646197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Suliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 30,-120 30,-120 60,-150 60,-150 30))"
 ]
}

 The dataset includes 2646197 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064075-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17241047
title: Readme
DOI: 10.5281/zenodo.17241048
title: Readme
DOI: 10.15468/dl.3qqex4
title: Occurrence Download

description: A dataset containing 8628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present",
 "StateProvince is Andhra Pradesh",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 8628 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064123-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc9suw
title: Occurrence Download

description: A dataset containing 1291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monopterus albus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1291 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064125-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57yav8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica ciliaris",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064126-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn4pt2
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica ciliaris",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064127-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9eu5b
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philadelphus delavayi"
 ]
}

 The dataset includes 615 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064128-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8t2kh
title: Occurrence Download

description: A dataset containing 2158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "StateProvince is Andhra Pradesh",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2158 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064129-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k73s8b
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is EN",
 "OccurrenceStatus is Present",
 "StateProvince is Andhra Pradesh",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 356 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064131-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnsjm3
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vampyrum spectrum"
 ]
}

 The dataset includes 174 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064132-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s2nuy
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glycymeris bimaculata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 147 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064133-250920141307145/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.29480707
title: Sparse-Data Deep Learning Strategies for Radiographic Non-Destructive Testing

description: Radiography is an imaging technique used in a variety of applications, such as medical diagnosis, airport security, and nondestructive testing. We present a deep learning system for extracting information from radiographic images. We perform various prediction tasks using our system, including material classification and regression on the dimensions of a given object that is being radiographed. Our system is designed to address the sparse-data issue for radiographic nondestructive testing applications. It uses a radiographic simulation tool for synthetic data augmentation, and it uses transfer learning with a pre-trained convolutional neural network model. Using this system, our preliminary results indicate that the object geometry regression task saw an improvement of 70% in the R-squared value when using a multi-regime model. In addition, we increase the performance of the object material classification tasks by utilizing data from different imaging systems. In particular, using neutron imaging improved the material classification accuracy by 20% when compared to x-ray imaging.
DOI: 10.6084/m9.figshare.29480707.v1
title: Sparse-Data Deep Learning Strategies for Radiographic Non-Destructive Testing

description: Radiography is an imaging technique used in a variety of applications, such as medical diagnosis, airport security, and nondestructive testing. We present a deep learning system for extracting information from radiographic images. We perform various prediction tasks using our system, including material classification and regression on the dimensions of a given object that is being radiographed. Our system is designed to address the sparse-data issue for radiographic nondestructive testing applications. It uses a radiographic simulation tool for synthetic data augmentation, and it uses transfer learning with a pre-trained convolutional neural network model. Using this system, our preliminary results indicate that the object geometry regression task saw an improvement of 70% in the R-squared value when using a multi-regime model. In addition, we increase the performance of the object material classification tasks by utilizing data from different imaging systems. In particular, using neutron imaging improved the material classification accuracy by 20% when compared to x-ray imaging.
DOI: 10.15468/dl.x2ah3w
title: Occurrence Download

description: A dataset containing 10361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peltophorum pterocarpum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10361 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064134-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1532535
title: Analytical Dataset

description: This dataset contains the basic analytical outputs used to generate figures for the paper and used as the basis for modeling inputs. It also contains a workup of the SVOC data from the integrated areas, since these were assembled via non-standard methods.
DOI: 10.15151/esrf-es-2212959383
title: Munich Crystallography BAG

description: The diverse groups of the Munich Crystallography BAG study a far range of subjects, reaching from structural aspects of fundamental cellular processes - such as RNA processing, protein folding and degradation, DNA repair, chromatin remodelling, enzymes - to the design of foldamers. The research groups are located at the LMU and TUM universities in Munich, at the Max-Planck-Institute of Biochemistry, Martinsried, and the Helmholtz Center, Neuherberg. Out-groups are located at the universities in Darmstadt and Ulm, Germany. The research groups use X-ray crystallography, single-particle cryo-EM, cryo-ET, SAXS, NMR and HDX and XL-MS mass-spectrometry for structural studies.
DOI: 10.15151/esrf-es-2258454497
title: The Institute of Structural and Molecular Biology (ISMB) application for beam time, comprising groups from Birkbeck College, UCL and the Que

description: The ISMB spans Birkbeck and UCL with researchers in the core Departments at Birkbeck Natual Sciences and several UCL Research Departments.
Research groups from Queen Mary University of London (QMUL) are joint co-applicants as they have strong links and collaborations with groups from ISMB.
All groups share common interests in disciplines including structural, chemical, molecular and cell biology; using multidisciplinary and multiscalar approaches.
ISMB, UCL and QMUL investigators, ranging from early-career research fellows to internationally-established senior academics, apply X-ray crystallography
carried out mainly at our Wellcome funded facility at Birkbeck, as an essential method enabling: i) description of the atomic level mechanistic details of macromolecules and macromolecular machines, and ii) structure-based drug discovery, iii) interdisciplinary structural biology projects mainly with cryoelectron microscopy (cryo-EM).
DOI: 10.15151/esrf-es-2191616818
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG (now expanded to 9 PIs) focus on proteins and their complexes involved in a variety of processes, ranging from cell homeostasis (from gene regulation to folding quality control, from energy metabolism to signal transduction) to communication and surface recognition (including trans-interactions between cell adhesion molecules, components of the extracellular matrix weaving, as well as antigen-antibody interactions for vaccine development and optimization). Key to several projects is the characterization of the mechanisms associated to enzyme function in various organisms, including bacteria, viruses, plants, animals and humans for downstream drug discovery campaigns. Emphasis is also given to research focusing on engineering protein and enzymes for future industrial applications, as well as to understand the impact of pathogenic mutations on protein structures, providing a genotype-to-molecular phenotype rationale to disease development.
DOI: 10.23719/d-dz0t
title: Using eDNA as a viable fish monitoring approach in Northern Gulf estuarine habitats

description: A web-browser enabled (HTML) document and Excel file (Water quality parameters and DNA Sequence Reads) that contain detailed data used to inform results presented in publication.
DOI: 10.5281/zenodo.17300582
title: Laborbestätigte Influenzafälle in Deutschland

description: Im Datensatz "Laborbestätigte Influenzafälle in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu Infektionen mit dem Influenzavirus nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Bundeslandebene zu Infektionen nach Falldefinition des Robert Koch-Instituts, differenziert nach Altersgruppen. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15151/esrf-es-2259383967
title: Study intermetallics in 6060 alloys

description: Study intermetallics in 6060 alloys
DOI: 10.15151/esrf-es-2261134045
title: Correlation of structural and electrical defects by scanning X-ray nanoprobe

description: We will measure XBIC and SXDM on a HEMT device before and after HTRB stressing to observe the evolution of electrically active defects and correlate them to structural changes in the sample. A lock-in amplifier coupled to an optical chopper will allow for XBC measurements with finer sensitivity than achieved previoulsy
DOI: 10.15151/esrf-es-2262221404
title: Feasibility test of printed on textiles as samples

description: This inhouse will establish best practices for measuring textiles with printed electronics on it.
DOI: 10.5281/zenodo.17300583
title: Respiratorische Synzytialvirusfälle in Deutschland

description: Im Datensatz "Respiratorische Synzytialvirusfälle in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu Infektionen mit dem Respiratorischen Synzytial-Virus (RSV) nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Bundeslandebene zu Infektionen nach Falldefinition des Robert Koch-Instituts, differenziert nach Altersgruppen. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15151/esrf-es-2262593147
title: Holotomography of Arabidopsis seeds

description: Holotomography of Arabidopsis seeds
DOI: 10.15468/dl.t84498
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica terminalis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064135-250920141307145/datasets/export for details.
DOI: 10.15151/esrf-es-2227956258
title: Determing precisely the structural phases present of aged Ln doped UO2 nanoparticles via HR-PXRD measurements

description: In the present proposal HR-PXRD are sort of BM20 to determine the structural phases of aged Ln doped UO2 nanoparticles. Such nanoparticles are found after a high burn-up time of UO2 and referred to as high burnup structures (HBS) which is a part of spent nucleal fuel (SNF). Based on Lab. PXRD measurements it was shown that the aged samples occur in two phases: The UO2 phase (Space group Fm-3-m) and metaschoepite-phases. But it is not clear what extent lanthanides influence the oxidation process of UO2 nanoparticles and how this affects the formation of metaschoepite-phases or further crystal structures. High resolution PXRD measurements are subsequently required to determine precise structures of the metaschoepite phase using the Rietveld method. This work has implications for the storage and safety of SNF particularly in the context of the “instance release fraction” in which caesium is a part of and to draw appropriate conclusions for the storage of SNF.
DOI: 10.6084/m9.figshare.29892113.v1
title: <b>Pre-trained Graph Learning Model </b><b>with Spatial-aware Attention Mechanism </b><b>for Road Network Pattern</b><b>s</b><b> Recognition</b>

description: This repository contains the official implementation for the paper: "Pre-trained Graph Learning Model with Spatial-aware Attention Mechanism for Road Network Patterns Recognition". It aims to classify the input road networks into six road network patterns: Gridiron, Organic, Radial, Tributary, Linear, and Chaotic. We represent road networks as graphs and employ a pre-training strategy on a large corpus of unlabeled road network data. Our work introduces a novel pre-trained graph learning model that leverages a spatial-aware attention mechanism that allows the model to focus on salient geometric and topological features, leading to superior performance in pattern recognition tasks.
DOI: 10.5281/zenodo.17300411
title: Data to Comparative analysis of species distribution modelling and remote sensing techniques in predicting spatial distribution of coastal habitats
DOI: 10.5281/zenodo.17300412
title: Data to Comparative analysis of species distribution modelling and remote sensing techniques in predicting spatial distribution of coastal habitats
DOI: 10.15468/dl.c9r6zu
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica terminalis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064136-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek6c83
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "OccurrenceStatus is Present",
 "StateProvince is Andhra Pradesh",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 43 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064138-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17300269
title: Tables and Figures for "Condensate phases of nuclear matter from AdS Hardwall models"

description: This Mathematica file contains tables and code for generating figures from the data, as discussed in the paper titled "Condensate Phases of Nuclear Matter from AdS Hardwall Models". The file provides initial conditions and corresponding results for two types of geometries: Charged AdS (CAdS) and Charged Black Hole (CBH). These results include key physical quantities such as charge densities and pressure, which are computed for various values of chemical potential and temperature. The generated figures visually represent these quantities across different parameter spaces.

While the file does not solve the differential equations directly, it provides all necessary initial conditions that can be used to obtain the solutions externally. Users can apply these initial conditions to solve the differential equations and reproduce the results presented in the paper.