cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hvfs6p
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((113.74345 22.44348,114.63689 22.44348,114.63689 22.80883,113.74345 22.80883,113.74345 22.44348))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2y7hk
title: Occurrence Download

description: A dataset containing 2706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apium fernandezianum, Apium panul, Apium prostratum)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2706 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dq74r
title: Occurrence Download

description: A dataset containing 8414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Linaria dalmatica",
 "Year 1950-2025"
 ]
}

 The dataset includes 8414 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqgvuv
title: Occurrence Download

description: A dataset containing 14153862 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 14153862 records from 7428 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007600-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16893272
title: Stranded and displaced fish: The ecological toll of hydropeaking

description: Data: data.RData & unitsDF.RData

R-Code: numbered in sequence from 1 to 11
DOI: 10.6084/m9.figshare.29203985
title: CkSeedGermination.csv

description: these data look at the germination of C kautskyana seed
DOI: 10.6084/m9.figshare.29203985.v1
title: CkSeedGermination.csv

description: these data look at the germination of C kautskyana seed
DOI: 10.15468/dl.v8jqab
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "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 ((-8.8018 33.6743,-9.0352 33.4562,-9.0352 28.8496,-0.0352 28.8496,-0.0352 36.4794,-0.2209 36.3968,-1.3537 36.1876,-1.6551 35.769,-2.0234 35.5842,-2.5138 35.6803,-2.6212 36.2387,-2.9881 36.451,-3.4424 36.249,-3.506 35.7605,-4.4004 35.671,-4.7609 35.8337,-4.8512 36.1709,-5.2296 36.4083,-6.2415 36.1841,-7.168 34.4152,-8.8018 33.6743))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010700-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.17606395
title: Underwater images collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-03-17

description: This dataset was collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-03-17. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15151/esrf-es-2241560840
title: Desmistifying the Strong Fluorescence of Bottom-up Carbon Dots

description: In this proposal we present a new successful approach to isolate and crystallize the organic fluorophores responsible by the claimed strong blue emission of carbon dots (CDs). These simple organic fluorophores are among the most efficient luminophores with a measured absolute quantum yield close to the unity, 97.1% (355 nm excitation) for a 2 ppm water solution. The compounds are obtained by optimization of the hydrothermal synthesis using citric acid and different ethylamines as precursors. Due to the small particle size and/or the presence of only light elements (C, N, O and H), our in-house diffractometers have not been effective in the elucidation of the new crystal architectures. We believe that the high-resolution data collected at the BM01 and ID22 beamlines will allow us to unveil the crystalline structures of these fluorophores.
DOI: 10.15151/esrf-es-2241562517
title: In-Situ X-ray Diffraction Study of MXene Synthesis in Molten Cl- and Br- salts

description: MXenes are single or multilayer two-dimensional (2D) transition metal carbides and nitrides, widely recognized as one of the fastest growing areas in 2D materials research. One of the features of MXenes is their surface functional groups, the nature of which depends on the chemical etching environment. In this regards, halogen and chalcogen surface groups, attached to the MXenes' surface as the result of chemical etching in Lewis acid molten salts have recently attracted much attention due to their high chemical stability and uniform coverage. In this proposal we aim to study the exfoliation kinetics from V2AlC and Ti2AlN MAX phases annealing in molten Cl- and Br- salts to MXenes by in-situ time-resolved synchrotron radiation X-ray diffraction. In such experiments, we expect to elucidate the formation mechanism of V2C and Ti2N MXenes with halogen (Cl and Br) termination. Such data cannot be gained using ex-situ experiments carried out after cooling and washing.
DOI: 10.15151/esrf-es-2241564825
title: Increasing photon pair production in x-ray parametric down-conversion

description: The use of correlated – or even entangled – photon pairs for quantum imaging bears enormous potential to exploit new contrast modalities and to reduce dose in X-ray imaging. A promising source of such pairs is the process of X-ray parametric down-conversion. However, it is intrinsically weak – with reported count rates reaching only about 6000 photon-pairs/hour. In order to enable practical applications in X-ray imaging, it is imperative to increase the useable count rate significantly. To achieve this goal, we propose an experiment that will improve both the amount of produced photon pairs (by the exceptional flux density of beamline ID19 – using its pink single-harmonic undulator beams) well as the efficiency of their detection (by the improved detection efficiency using the novel Timepix4-based TEMPUS detector in tandem-configuration). This setup could increase the useable count rate by ~1000×. This increase would render low-dose, quantum X-ray imaging truly viable for first time.
DOI: 10.15151/esrf-es-2241566191
title: Understanding the Stability of Uranyl Cations ([UO2]2+) at Elevated Pressures

description: The aim of this proposal is to conduct a systematic study on the chemical stability of abundant uranyl-compounds (such as carbonates and nitrates) up to 100 GPa and 3000 K using single-crystal X-ray diffraction (XRD) in diamond anvil cells (DACs). We propose to investigate i) the thermal stability of simple uranyl carbonates (UO2CO3) and uranyl nitrates (UO2(NO3)2), and ii) the chemical reactivity between uranium oxide (UO2) with CO2/N2O under the same p,T-conditions. Through this combined approach, we expect to determine the phase stability regions of the phases belonging to U-O-C and the U-O-N systems, and complement the results with Raman spectroscopy and DFT calculations. In addition, we aim to provide the first structure description of an actinide sp3-carbonate, which we prior identified in our experimental Raman data.
DOI: 10.15151/esrf-es-2264618071
title: Probing Spatial Correlations of Charge Density Waves and Structural Variations in YBCO Using Scanning X-ray Diffraction Microscopy (SXDM)

description: We propose to study the correlation between the structural properties, in particular, the lattice strain, of the high temperature superconductor (HTS) YBa2Cu3O7-x with the onset of charge density waves (CDW) in the material. STM measurements on CeTe showed that strain only indirectly determines the onset of CDWs in a material through the modification of the local lattice parameters [1]. This experiment looks to confirm the generality of this phenomenon in charge density wave materials. Furthermore, due to the diametric opposition between the phenomena of superconductivity and CDW existence, we aim to visualize the vortex lattice in a field cooled YBCO superconductor through characterization of the CDWs present in the vortices.
DOI: 10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb.v1
title: Raw data underlying the publication: Eco-Evolutionary Divergence in Pantoea ananatis Unveils Intrinsic Genomic-Metabolic

description: The dataset encompasses genomic, metabolomic, and phenotypic data from 18 <em>Pantoea ananatis</em> isolates derived from mulberry (<em>Morus</em> spp.), focusing on eco-evolutionary mechanisms underlying their pathogen-probiotic duality. Key findings include three genetic clades: low-virulence probiotics (Pa-I, 11 strains), high-virulence pathogens (Pa-II, 5 strains), and transitional (Pa-III, 2 strains). Representative strains Pa-6 (probiotic) and YSFJ (pathogen) highlight divergences in genome architecture (e.g., plasmids, pseudogenes), metabolomes (e.g., TCA/amino acid vs. phosphonate/sulfur pathways), pan-genome openness, multidrug resistance, and host interactions (e.g., mild colonization enhancing resilience vs. aggressive lysis accelerating dysbiosis). This supports predictive frameworks for biocontrol and resilient microbiome engineering in agriculture. Data types include raw sequencing reads, MS spectra, bioassay results, and figure sources, organized by category. Total size: approximately 10-15 GB. Ethical compliance: Biosafety protocols followed; no human/animal subjects. Contact corresponding authors for interpretation queries on genomic evolution or metabolomic networks.
DOI: 10.15468/dl.npg3u3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla kelberi",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032684-251025141854904/datasets/export for details.
DOI: 10.15468/dl.22ksee
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Ageratina adenophora)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032685-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3ecmt
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Ageratina adenophora)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032686-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/f58218d5-6179-42f9-9f7a-892e1936b4eb
title: Data from JELAI usage at high school, learning Python through an online environment.

description: This dataset was collected using Jelai (https://doi.org/10.1007/978-3-031-98465-5_9) in a high-school setting. Students learned Python through an online environment in which they could ask a chatbot questions related to the course material. The purpose of the study was to investigate how the way students formulate questions to a chatbot influences their learning outcomes.<br>Ethical approval for the study was obtained from the Human Research Ethics Committee of TU Delft.<br>To protect participant privacy, XML-style placeholder tags were used to anonymize names and other identifiable information.<br>This dataset was collected as part of my Computer Science and Engineering Honours project.<br>The dataset includes all code edits, program executions (categorized into output and error), chatbot messages, and the students’ final grades. Each file records a different aspect of the interaction between students, the coding environment, and the chatbot.
DOI: 10.4121/f58218d5-6179-42f9-9f7a-892e1936b4eb.v1
title: Data from JELAI usage at high school, learning Python through an online environment.

description: This dataset was collected using Jelai (https://doi.org/10.1007/978-3-031-98465-5_9) in a high-school setting. Students learned Python through an online environment in which they could ask a chatbot questions related to the course material. The purpose of the study was to investigate how the way students formulate questions to a chatbot influences their learning outcomes.<br>Ethical approval for the study was obtained from the Human Research Ethics Committee of TU Delft.<br>To protect participant privacy, XML-style placeholder tags were used to anonymize names and other identifiable information.<br>This dataset was collected as part of my Computer Science and Engineering Honours project.<br>The dataset includes all code edits, program executions (categorized into output and error), chatbot messages, and the students’ final grades. Each file records a different aspect of the interaction between students, the coding environment, and the chatbot.
DOI: 10.15468/dl.ny4grk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla monoculus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032687-251025141854904/datasets/export for details.
DOI: 10.15468/dl.pfqc4e
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Eleutherodactylus planirostris"
 ]
}

 The dataset includes 309 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032688-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8ph26
title: Occurrence Download

description: A dataset containing 4027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Myocastor coypus"
 ]
}

 The dataset includes 4027 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032689-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7smugp
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Ageratina adenophora)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032690-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf5tg7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla ocellaris",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032691-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.