cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sfusx3
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexagrammos otakii Jordan & Starks, 1895",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 558 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020209-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74d6u5
title: Occurrence Download

description: A dataset containing 779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago gigantea subsp. gigantea"
 ]
}

 The dataset includes 779 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020211-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn6hpz
title: Occurrence Download

description: A dataset containing 3998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3998 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020212-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1473911609
title: Paris Rive-Gauche BAG: from structure to drug design

description: Our BAG was created in 2006 to federate well-established structural biology laboratories from south Paris. At present, several projects are investigated by
 different teams from 5 Institutes: (1) I2BC (Institut de Biologie Inte#grative de la Cellule), (2) IBPC (Institut de Biologie Physico-Chimique), (3) INSERM (Institut National de la Sante# et de la Recherche Me#dicale), (4) LBPA (Laboratoire de Biologie et Pharmacologie Applique#e) and (5) CiTCoM (CiblesTherapeutiques et Conception de Medicaments, ex-name LCRB).
Our research area focuses on many important biological systems involved in human pathology or infectious diseases, including molecular chaperones, DNA
 recombination, RNA maturation, ribosome biogenesis, telomerase assembly, bacterial toxins, malaria disease, neurodegenerative disease, drugs resistance and cell-signalling.
DOI: 10.15151/esrf-es-1580717903
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: Located at the Philipps-University-Marburg and the Max-Planck-Institute for terrestrial Microbiology in Marburg, Germany, the MarBAG employs X-ray crystallography to reveal fundamental mechanisms of key biological processes involving synthesis, assembly and function of macromolecular machines and cellular structures (e.g. CO2-fixation pathways, flagellar biosynthesis, CRISPR-Cas Systems, cell-wall-related processes, phage-bacteria relationships). Furthermore, we are interested in plant-pathogen interactions and the function of nucleotide derived signalling molecules in cellular stress physiology and organization. A 200 keV cryo-electron microscope was recently installed at the UMR to complement our efforts to structurally characterize macromolecular complexes, which do not readily crystallize. Thus, we can now routinely screen and quality check samples for cryo-electron microscopy.
DOI: 10.6084/m9.figshare.26242200
title: Assessing the transferability of a multi-source land use classification workflow across two heterogeneous urban and rural areas

description: Mapping Land Use (LU) is crucial for monitoring and managing the dynamic evolution of the human activities of a given area and their consequential environmental impacts. In this study, a multimodal machine learning framework, using the XGBoost classifier applied to attributes constructed from heterogeneous spatial data sources, is defined and used to automatically classify LU in the two French departments of Gers and Rhône. It reaches a mean F1 score of 83 and 86% respectively. This research work also assesses the robustness and transferability of the machine learning model between these two diverse study areas and highlights the challenges encountered, arising mainly from the differences of distribution of the attributes and classes between the study areas. Adding a few samples from the test study area allows the model to learn some specificities of the test study area, and thus improves the results. Moreover, the study evaluates the individual contributions of each data source to the accuracy of predictions of the LU classes, providing insights concerning the relevance of each data source in enhancing the overall precision of the Land Use classification. The findings contribute to a validated LU classification workflow, identify valuable data sources, and enhance understanding of model transferability challenges.
DOI: 10.6084/m9.figshare.26242200.v1
title: Assessing the transferability of a multi-source land use classification workflow across two heterogeneous urban and rural areas

description: Mapping Land Use (LU) is crucial for monitoring and managing the dynamic evolution of the human activities of a given area and their consequential environmental impacts. In this study, a multimodal machine learning framework, using the XGBoost classifier applied to attributes constructed from heterogeneous spatial data sources, is defined and used to automatically classify LU in the two French departments of Gers and Rhône. It reaches a mean F1 score of 83 and 86% respectively. This research work also assesses the robustness and transferability of the machine learning model between these two diverse study areas and highlights the challenges encountered, arising mainly from the differences of distribution of the attributes and classes between the study areas. Adding a few samples from the test study area allows the model to learn some specificities of the test study area, and thus improves the results. Moreover, the study evaluates the individual contributions of each data source to the accuracy of predictions of the LU classes, providing insights concerning the relevance of each data source in enhancing the overall precision of the Land Use classification. The findings contribute to a validated LU classification workflow, identify valuable data sources, and enhance understanding of model transferability challenges.
DOI: 10.15151/esrf-es-1581833263
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG 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: 10.15151/esrf-es-1738440649
title: Projects in protein crystallography of GSY

description: The Synchrotron Group of IBS has two activities. The first one is focused on instrumentation and methodology development, and includes developments that range
from crystallization to room temperature data collection. The second one deals with the structure elucidation of fluorescent proteins, plant proteins and proteins of
human health interest. We work on enzymes of the MEP pathway since they constitute interesting drug targets. We study also fluorescent proteins by combining Xray
diffraction and online spectro. We are involved in the characterization of the plastid-encoded prokaryotic-type RNA polymerase (PEP) and transcription factors
(ARFs) from plants. We try to improve crystal quality for X-ray and neutron diffraction.
DOI: 10.15151/esrf-es-1807917951
title: Structure change of mercury selenide with temperature variation

description: Structural change of the mercury selinide crystals upon annealing
DOI: 10.15151/esrf-es-1719224265
title: Effect of local structure on negative thermal expansion

description: We have recently identified a transition from positive to zero to negative thermal expansion by fluoride doping NbO2F. Anionic control over thermal expansion is a novel approach and the mechanism through which it operates is currently not fully understood. Analysis of local structure through the x-ray pair distribution function (PDF) at different temperatures will allow us to separate the influences of anion order from dynamic distortions, and would help to develop this new field of anionic control of thermal expansion.
DOI: 10.15151/esrf-es-1721792523
title: Study of the energy landscape of a photoactivated adenylate cyclase by high-pressure crystallography

description: cAMP (Adenosine 3',5' cyclic monophosphate) is a key second messenger in numerous signal trans¬duction pathways, regulating various cellular functions. Modulating its cellular concentration has emerged in the focus of modern optogenetic applications putting forward the photoactivated adenylyl cyclases (PACs) in the optogenetics toolbox. PACs are light-activated enzymes that combine the capacity of a photoreceptor with that of an adenylyl cyclase; the latter being an enzyme responsible for the conversion of ATP (adenosine 5' triphosphate) to cAMP. We propose to use high-pressure macromolecular crystallography to study the energy landscape, conformational fluctuations and breathing motions between sub-states of the photoactivated adenylate cyclase (PAC) from the cyanobacterium Oscillatoria acuminata (OaPAC) in order to explore the allosteric transitions between its conformational states.
DOI: 10.15151/esrf-es-1808090640
title: Observation of stress corrosion cracks in autoclave exposed In718 : second run

description: Samples exposed to primary water chemistry under autoclave conditions, i.e. high pressure, temperature and mechanical loading, are going to be observed. The samples were characterized prior to any exposure, after a run of about ~6 months and now after a second run of ~6 months.
DOI: 10.15151/esrf-es-1813011908
title: Beamline alignment and X-ray ptychography of various samples

description: Beamline alignment and X-ray ptychography of various samples: brain and batteries.
DOI: 10.15151/esrf-es-1716701359
title: Operando studies of cathode materials with antiperovskite structure.

description: A new class of materials with antiperovskite structure (Li2TM)ChO (TM = transition metal, Ch = S, Se) represents a promising alternative to several classes
of materials currently used as cathodes in Li-ion and Na-ion batteries. As the chemistry of these compounds is yet to become mature, very little is known about
their behavior in batteries. Their cycling mechanism presumably involving redox process at TM site is still relatively unexplored. Furthermore, the Na analogues of
these antiperovskites are not described in the literature. Thus, this experiment will focus on elucidating the main structural differences in the reaction mechanism
for a selection of Li- and Na-based antiperovskites as a function of the chalcogenide present in the structure, applied cycling rates and charge/discharge capacity
using operando XRD, PDF and X-ray absorption spectroscopy.
DOI: 10.15468/dl.4urdyt
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Material sample, Material citation)",
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Buceros bicornis Linnaeus, 1758"
 ]
}

 The dataset includes 441 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020213-240626123714530/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/8927572
title: Contrastive Language Image Pretraining by openai
DOI: 10.15468/dl.ws6aw8
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isurus oxyrinchus Rafinesque, 1810",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 683 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020214-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/e4d88913-4bef-4361-b4e8-bde2461d4905
title: Video - Traditional gilding (halkar) using rose water - exploring the use of natural fragrance in art

description: In this short video I show you how I created a real golden rose using 23.5k shell gold paint. The technique is an ancient technique that was used a lot in manuscripts centuries ago. Traditionally, this technique is referred to as halkar, tezhip or in English illumination/gilding with shell gold. The paper was first stained using genuine carmine (cochenille) paint left-over from paintmaking, and on top of that I used mother-of-pearl pigment, pigments which are both encountered in traditional art. The gold was then applied using rose water, exploring the use of natural fragrance in traditional art. The rubbing of the gold that you see at the end of the clip is called 'burnishing' and is done with very smooth agate stone or agate burnisher. This makes the gold really shine and adds a lot of lustre., .This video shows an approach to art working towards circularity in art materials as well as a natural, non-toxic and eco-friendly way of working, while keeping within tradition.
DOI: 10.4121/e4d88913-4bef-4361-b4e8-bde2461d4905.v1
title: Video - Traditional gilding (halkar) using rose water - exploring the use of natural fragrance in art

description: In this short video I show you how I created a real golden rose using 23.5k shell gold paint. The technique is an ancient technique that was used a lot in manuscripts centuries ago. Traditionally, this technique is referred to as halkar, tezhip or in English illumination/gilding with shell gold. The paper was first stained using genuine carmine (cochenille) paint left-over from paintmaking, and on top of that I used mother-of-pearl pigment, pigments which are both encountered in traditional art. The gold was then applied using rose water, exploring the use of natural fragrance in traditional art. The rubbing of the gold that you see at the end of the clip is called 'burnishing' and is done with very smooth agate stone or agate burnisher. This makes the gold really shine and adds a lot of lustre., .This video shows an approach to art working towards circularity in art materials as well as a natural, non-toxic and eco-friendly way of working, while keeping within tradition.
DOI: 10.15468/dl.wtvhsq
title: Occurrence Download

description: A dataset containing 191234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Solidago gigantea Aiton, Solidago gigantea var. serotina (Kuntze) Cronquist, Solidago gigantea subsp. leiophylla Fernald, Solidago gigantea subsp. gigantea)"
 ]
}

 The dataset includes 191234 records from 1032 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020191-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crm7mr
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago gigantea var. shinnersii Beaudry"
 ]
}

 The dataset includes 139 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020217-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wje2az
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracaesio caerulea (Katayama, 1934)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020216-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10718854
title: A bias in transsaccadic perception of spatial frequency changes

description: Dataset from the following publication:Sharvashidze, Hübner & Schütz, (2024). A bias in transsaccadic perception of spatial frequency changes.https://doi.org/10.1016/j.visres.2024.108453
DOI: 10.5281/zenodo.10718855
title: A bias in transsaccadic perception of spatial frequency changes

description: Dataset from the following publication:Sharvashidze, Hübner & Schütz, (2024). A bias in transsaccadic perception of spatial frequency changes.https://doi.org/10.1016/j.visres.2024.108453
DOI: 10.5281/zenodo.12719621
title: Dataset - Global site-specific health impacts of fossil energy, steel mills, oil refineries and cement plants

description: Climate change and particulate matter air pollution present major threats to human well-being by causing impacts on human health. Both are connected to key air pollutants such as carbon dioxide (CO2), primary fine particulate matter (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx) and ammonia (NH3), which are primarily emitted from energy-intensive industrial sectors. We present the first study to consistently link a broad range of emission measurements for these substances with site-specific technical data, emission models, and atmospheric fate and effect models to quantify health impacts caused by nearly all global fossil power plants, steel mills, oil refineries and cement plants. The resulting health impact patterns differ substantially from far less detailed earlier studies due to the high resolution of included data, highlighting in particular the key role of emission abatement at individual coal-consuming industrial sites in densely populated areas of Asia (Northern and North-Eastern India, Java in Indonesia, Eastern China), Western Europe (Germany, Belgium, Netherlands) as well as in the US. Of greatest health concern are the high SO2 emissions in India, which stand out due to missing flue gas treatment and cause a particularly high share of local health impacts despite a limited number of emission sites. At the same time, the massive infrastructure and export capacity build-up in China in recent years is taking a substantial toll on regional and global health and requires more stringent regulation than in the rest of the world due to unfavorable environmental conditions and high population densities. The current phase-out of highly emitting industries in Europe is found not to have started with sites having the greatest health impacts. Our detailed site-specific emission and impact inventory is able to highlight more effective alternatives and to track future progress.
DOI: 10.5281/zenodo.12719622
title: Dataset - Global site-specific health impacts of fossil energy, steel mills, oil refineries and cement plants

description: Climate change and particulate matter air pollution present major threats to human well-being by causing impacts on human health. Both are connected to key air pollutants such as carbon dioxide (CO2), primary fine particulate matter (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx) and ammonia (NH3), which are primarily emitted from energy-intensive industrial sectors. We present the first study to consistently link a broad range of emission measurements for these substances with site-specific technical data, emission models, and atmospheric fate and effect models to quantify health impacts caused by nearly all global fossil power plants, steel mills, oil refineries and cement plants. The resulting health impact patterns differ substantially from far less detailed earlier studies due to the high resolution of included data, highlighting in particular the key role of emission abatement at individual coal-consuming industrial sites in densely populated areas of Asia (Northern and North-Eastern India, Java in Indonesia, Eastern China), Western Europe (Germany, Belgium, Netherlands) as well as in the US. Of greatest health concern are the high SO2 emissions in India, which stand out due to missing flue gas treatment and cause a particularly high share of local health impacts despite a limited number of emission sites. At the same time, the massive infrastructure and export capacity build-up in China in recent years is taking a substantial toll on regional and global health and requires more stringent regulation than in the rest of the world due to unfavorable environmental conditions and high population densities. The current phase-out of highly emitting industries in Europe is found not to have started with sites having the greatest health impacts. Our detailed site-specific emission and impact inventory is able to highlight more effective alternatives and to track future progress.
DOI: 10.15468/dl.pymxav
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorophthalmus albatrossis Jordan & Starks, 1904",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020218-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34855p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Loropetalum chinense (R.Br.) Oliv.",
 "Year 2000-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020220-240626123714530/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.26242070
title: Cluster dataset

description: Data of jobs run in Cluster A and Cluster-B
DOI: 10.6084/m9.figshare.26242070.v1
title: Cluster A dataset

description: Data of jobs run in Cluster A and Cluster-B
DOI: 10.15468/dl.teyvc9
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fistularia commersonii Rüppell, 1838",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 242 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020219-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.