cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25gzyl
title: CCDC 2010410: Experimental Crystal Structure Determination

description: Related Article: Paulina Sołtysiak, Krzysztof Ejsmont, Bartosz Zarychta|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25k1yr
title: CCDC 2012394: Experimental Crystal Structure Determination

description: Related Article: Paulina Sołtysiak, Grzegorz Spaleniak, Krzysztof Ejsmont, Bartosz Zarychta|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.28342556
title: Dataset_Botanophila.xlsx

description: The original dataset of <i>Botanophila turcica</i> host-specificity testing and field surveys performed in southern France.
DOI: 10.6084/m9.figshare.28342556.v1
title: Dataset_Botanophila.xlsx

description: The original dataset of <i>Botanophila turcica</i> host-specificity testing and field surveys performed in southern France.
DOI: 10.5517/ccdc.csd.cc2l6dfn
title: CCDC 2389431: Experimental Crystal Structure Determination

description: Related Article: Chengliang Wang|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48338/vu01-bw7grx
title: Countering Virtual Brand Sabotage: The Power of Informative Responses

description: Many disgruntled consumers who experience service failures turn to brand sabotage, by posting vindictive posts on social media
platforms. Such aggressive revenge behavior has the goal of influencing others and causing harm to a firm. Vindictive posts require a
response from the firm, to limit their potential negative influence on other consumers who read the posts. Three large-scale field
studies and five lab experiments, including an incentive-compatible study, demonstrate that firm responses to such sabotage should
focus on information (rather than empathy) because informative responses help reduce readers’ risk perceptions, prompting them
to exhibit more positive behaviors toward the firm. Service guarantees can mitigate the impact of these responses. Importantly, the
type of firm response only matters if the post is vindictive. For non-vindictive posts both informative and empathic firm responses
working equally well. Our findings help firms to detect vindictive posts, suggest appropriate response strategies, and reveal how the
risk perceptions evoked by vindictive posts can be mitigated.
DOI: 10.15468/dl.7jznay
title: Occurrence Download

description: A dataset containing 3113808714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is not null"
 ]
}

 The dataset includes 3113808714 records from 70800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011144-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3tmjk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.6497 12.27879,16.34962 13.98515,2.53624 12.68507,-3.5579 14.7977,-13.95856 19.67301,-19.15889 9.84114,15.53707 6.99721,17.6497 12.27879))",
 "TaxonKey is Oropetium capense Stapf"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011181-250127130748423/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.28342628
title: Supplementary Material for: The interpretation of magnifying endoscopy for the diagnosis of colorectal lesions

description: Accurate endoscopic diagnosis is crucial for determining the appropriate treatment strategy for colorectal lesions, which may include cold snare polypectomy (CSP), endoscopic mucosal resection (EMR), or endoscopic submucosal dissection (ESD). While white light imaging (WLI) serves as the basic and initial method for endoscopic diagnosis, additional techniques such as narrow-band imaging (NBI), blue laser/light imaging (BLI), and magnified observation using pit patterns are necessary when WLI results are inconclusive. These advanced diagnostic methods enable precise identification of lesions such as adenoma, T1 cancer, and sessile serrated lesion (SSL). Furthermore, recent advancements in endoscopic systems have enhanced image clarity and detail, thereby improving diagnostic accuracy. This review provides an in-depth discussion on how magnified endoscopy, utilizing the Japan NBI Expert Team (JNET) classification with NBI/BLI and pit pattern classification with chromoendoscopy, aids in the accurate diagnosis of colorectal lesions.
DOI: 10.15468/dl.zcggtw
title: Occurrence Download

description: A dataset containing 1900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Borassus aethiopum Mart."
 ]
}

 The dataset includes 1900 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011182-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yne8vs
title: Occurrence Download

description: A dataset containing 5387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ichthyosaura alpestris (Laurenti, 1768)"
 ]
}

 The dataset includes 5387 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011183-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14800062
title: Tensor-tomography dataset of piece of aragonite snail-shell

description: Experimental data from a scanning-probe wide angle scattering experiment performed at the cSAXS beamline at teh Swiss Light Source at the Paul Scherrer Institure in Villigen, Switzerland.

The file-format is that used in by the software package mumott (mumott.org).

The sample is a small piece of a helix pomatia snail shell measuring about 1 by 1 by 3 mm^3. The piece is from around teh umbilicus about 5mm from the apex.  The detector images have been azimuthally re-grouped and only the intensity of the aragonite bragg-peaks are included.
DOI: 10.5281/zenodo.14800063
title: Tensor-tomography dataset of piece of aragonite snail-shell

description: Experimental data from a scanning-probe wide angle scattering experiment performed at the cSAXS beamline at teh Swiss Light Source at the Paul Scherrer Institure in Villigen, Switzerland.

The file-format is that used in by the software package mumott (mumott.org).

The sample is a small piece of a helix pomatia snail shell measuring about 1 by 1 by 3 mm^3. The piece is from around teh umbilicus about 5mm from the apex.  The detector images have been azimuthally re-grouped and only the intensity of the aragonite bragg-peaks are included.
DOI: 10.5281/zenodo.14800602
title: Repo_C2VLP_ToolsDataset
DOI: 10.5281/zenodo.14800603
title: Repo_C2VLP_ToolsDataset
DOI: 10.25381/cput.26200187
title: Development of correlation between compressive strength and ultrasonic pulse velocity in roller-compacted concrete for dams

description: Roller-compacted concrete (RCC) is increasingly employed in dam construction due to its advantageous properties. This research focuses exclusively on RCC for dam construction and aims to develop and assess non-destructive testing methods for evaluating RCC strength compared to destructive methods. The study involved laboratory experimental tests and field tests conducted at De Hoop and Spring Grove dams.In the laboratory, eight RCC mixtures were prepared and tested, varying in fly ash content (from FA0% to FA75%) and using specific mix designations called 15/38-365 and 20/38-90. Tests included ultrasonic pulse velocity, rebound hammer, and compressive strength measurements. Results from these tests were compiled in a structured spreadsheet, detailing the performance of each mixture under various conditions.Field tests at De Hoop and Spring Grove dams focused on evaluating ultrasonic pulse velocity and rebound hammer readings to assess RCC quality and integrity in situ.
DOI: 10.25381/cput.26200187.v1
title: Development of correlation between compressive strength and ultrasonic pulse velocity in roller-compacted concrete for dams

description: Roller-compacted concrete (RCC) is increasingly employed in dam construction due to its advantageous properties. This research focuses exclusively on RCC for dam construction and aims to develop and assess non-destructive testing methods for evaluating RCC strength compared to destructive methods. The study involved laboratory experimental tests and field tests conducted at De Hoop and Spring Grove dams.In the laboratory, eight RCC mixtures were prepared and tested, varying in fly ash content (from FA0% to FA75%) and using specific mix designations called 15/38-365 and 20/38-90. Tests included ultrasonic pulse velocity, rebound hammer, and compressive strength measurements. Results from these tests were compiled in a structured spreadsheet, detailing the performance of each mixture under various conditions.Field tests at De Hoop and Spring Grove dams focused on evaluating ultrasonic pulse velocity and rebound hammer readings to assess RCC quality and integrity in situ.
DOI: 10.25377/sussex.28280456
title: Research data for paper Functional mapping of the molluscan brain guided by synchrotron X-ray tomography

description: Data for paper published in Proceedings of the National Academy of SciencesFunctional mapping of the molluscan brain guided by synchrotron X-ray tomography<b>Abstract </b>Molluscan brains are comprised of morphologically consistent and functionally interrogable neurons offering rich opportunities for understanding how neural circuits drive behaviour. Nonetheless, detailed component-level CNS maps are completely lacking, total neuron numbers are unknown, and organizational principles remain poorly defined, limiting a full and systematic characterization of circuit operation. Here we establish an accessible, generalizable approach, harnessing synchrotron X-ray tomography, to rapidly determine the three-dimensional structure of the multi-millimeter-scale CNS of <i>Lymnaea</i>. Focusing on the feeding ganglia, we generate the first full neuron-level reconstruction, revealing key design principles and revising cell count estimates upwards threefold. Our atlas uncovers the superficial but also non-superficial ganglionic architecture, reveals the cell organization in normally hidden regions - ganglionic “dark-sides” - and details features of single-neuron morphology, together guiding targeted follow-up functional investigation based on intracellular recordings. Using this approach, we identify three pivotal, to date unreported, neuron classes: a command-like food-signalling cell type, a feeding central pattern-generator interneuron, and a unique behavior-specific motoneuron, together significantly advancing understanding of the function of this classical control circuit. Combining our morphological and electrophysiological data we also establish a first functional CNS atlas in <i>Lymnaea</i> as a shared and scalable resource for the research community. Our approach enables the rapid construction of cell atlases in large-scale nervous systems, with key relevance to functional circuit interrogation in a diverse range of model organisms.<b>Contents:</b>Excel file with multiple sheets, each related to a different dataset within the paper.readme.txt file containing Description information
DOI: 10.25377/sussex.28280456.v1
title: Research data for paper Functional mapping of the molluscan brain guided by synchrotron X-ray tomography

description: Data for paper published in Proceedings of the National Academy of SciencesFunctional mapping of the molluscan brain guided by synchrotron X-ray tomography<b>Abstract </b>Molluscan brains are comprised of morphologically consistent and functionally interrogable neurons offering rich opportunities for understanding how neural circuits drive behaviour. Nonetheless, detailed component-level CNS maps are completely lacking, total neuron numbers are unknown, and organizational principles remain poorly defined, limiting a full and systematic characterization of circuit operation. Here we establish an accessible, generalizable approach, harnessing synchrotron X-ray tomography, to rapidly determine the three-dimensional structure of the multi-millimeter-scale CNS of <i>Lymnaea</i>. Focusing on the feeding ganglia, we generate the first full neuron-level reconstruction, revealing key design principles and revising cell count estimates upwards threefold. Our atlas uncovers the superficial but also non-superficial ganglionic architecture, reveals the cell organization in normally hidden regions - ganglionic “dark-sides” - and details features of single-neuron morphology, together guiding targeted follow-up functional investigation based on intracellular recordings. Using this approach, we identify three pivotal, to date unreported, neuron classes: a command-like food-signalling cell type, a feeding central pattern-generator interneuron, and a unique behavior-specific motoneuron, together significantly advancing understanding of the function of this classical control circuit. Combining our morphological and electrophysiological data we also establish a first functional CNS atlas in <i>Lymnaea</i> as a shared and scalable resource for the research community. Our approach enables the rapid construction of cell atlases in large-scale nervous systems, with key relevance to functional circuit interrogation in a diverse range of model organisms.<b>Contents:</b>Excel file with multiple sheets, each related to a different dataset within the paper.readme.txt file containing Description information
DOI: 10.25377/sussex.28333793
title: <i>Lymnaea</i> Brain Map: Neuron Atlas for the mollusc <i>Lymnaea stagnalis</i>

description: This record represents a permanent citable version of the website<b>: </b><i>Lymnaea</i> Brain Map: Neuron Atlas for the mollusc <i>Lymnaea stagnalis</i> The contents of this record will be updated in tandem with any updates to the website. The contents are presented as an Excel file with multiple sheets, containing detail on different identified neuron types in the <i>Lymnaea</i> brain.<br><b>About the project</b>Thanks to their accessible nervous systems, molluscs have provided some of the most fundamental insights into how neural circuits generate and control behavior. Notably, their neurons are large and consistently positioned from one individual to the next, making the possibility of building a brain atlas realistic.In this project we address this challenge by using a synchrotron (particle accelerator) source to carry out rapid high-resolution X-ray imaging of the whole brain of the pond snail, <i>Lymnaea stagnalis</i>. Here, we have used this information to construct a 3D atlas of the part of the brain that controls feeding behavior. Later iterations will add detail on other regions of the CNS.This record provides a summary of key neurons in the <i>Lymnaea</i> CNS that could be readily located using our atlas. For each cell-type we then carried out targeted intracellular electrophysiological recordings that enabled us to summarize the key functional properties. The selection of neurons we showcase here includes cell-types that have previously been identified and characterized by us and others over the last six decades, as well as new cell-types that we identified directly using the cell atlas.<b>Contents:</b>Excel file with multiple sheets, containing detail on different identified neuron types in the <i>Lymnaea</i> brain. This resource is intended to be scalable, and we will update the atlas to include new cell-types in due course.readme.txt file containing Description information
DOI: 10.15468/dl.g95tgb
title: Occurrence Download

description: A dataset containing 60346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.1.40_1, DEU.1.40.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Aves)"
 ]
}

 The dataset includes 60346 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011185-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3ktm5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.11583 16.38165,10.04053 16.38165,10.04053 18.76474,7.11583 18.76474,7.11583 16.38165))",
 "TaxonKey is Sporobolus pellucidus Hochst."
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011187-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nt9wm
title: Occurrence Download

description: A dataset listing the 4019100 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4019100 records were derived from 70770 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011176-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14604199
title: Short-term effects of microbial exopolysaccharides and chicken feather hydrolysate vs. long-term effects of plant-derived biochar on temperate, coarse-textured agricultural soils

description: Dataset (MS Excel file) provides information on microbial activity, available nutrient content, and soil properties analyzed during a laboratory experiment using soil additives in temperate agricultural soils. It includes measurements of microbial respiration, available carbon, nitrogen and phosphorus, pH, microbial biomass carbon (Cmic) and nitrogen (Nmic), and water holding capacity (WHC). The dataset also features detailed soil fraction analyses, including free particulate organic matter (fPOM), occluded particulate organic matter (oPOM) and mineral-associated organic matter (MAOM).
DOI: 10.5281/zenodo.14604200
title: Short-term effects of microbial exopolysaccharides and chicken feather hydrolysate vs. long-term effects of plant-derived biochar on temperate, coarse-textured agricultural soils

description: Dataset (MS Excel file) provides information on microbial activity, available nutrient content, and soil properties analyzed during a laboratory experiment using soil additives in temperate agricultural soils. It includes measurements of microbial respiration, available carbon, nitrogen and phosphorus, pH, microbial biomass carbon (Cmic) and nitrogen (Nmic), and water holding capacity (WHC). The dataset also features detailed soil fraction analyses, including free particulate organic matter (fPOM), occluded particulate organic matter (oPOM) and mineral-associated organic matter (MAOM).
DOI: 10.15468/dl.33wgh8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.55363 11.42545,3.43095 11.42545,3.43095 13.39904,1.55363 13.39904,1.55363 11.42545))",
 "TaxonKey is Sporobolus stapfianus Gand."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011188-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq5j45
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Narcissus cavanillesii Barra & G.López"
 ]
}

 The dataset includes 295 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011190-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.sf7okatq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.vx62nj
title: Occurrence Download

description: A dataset containing 27058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Picea glauca (Moench) Voss"
 ]
}

 The dataset includes 27058 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011189-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.27633468
title: Machine learning and deep learning wall defect classification dataset

description: 2022FEBEREC-STD-073The dataset comprises of imagery/photographs collected using a standard DSLR camera, from first hand site visits and inspections. These images consist of various damage classes such as crack spalling and intact areas which were collected from three national heritage sites in the Western Cape namely: the Castle of Good Hope, Dal Josafat and Robben Island. The approach used a quantitative research methodology, utillising machine learning and deep models for the analysis and classification of the image dataset into the various damage classes.
DOI: 10.15468/dl.p7knqb
title: Occurrence Download

description: A dataset containing 446602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is one of (NT, LC, EX, EW, EN, CR, VU, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "TypeStatus is Holotype"
 ]
}

 The dataset includes 446602 records from 9666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011184-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.