cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wh7nv2
title: Occurrence Download

description: A dataset containing 2392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bauhinia brachycarpa"
 ]
}

 The dataset includes 2392 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002239-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkzthy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caridina propinqua",
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "EventDate is 1800,2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002240-251025141854904/datasets/export for details.
DOI: 10.15468/dl.sbpp65
title: Occurrence Download

description: A dataset containing 3823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Lama guanicoe"
 ]
}

 The dataset includes 3823 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002241-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20348/storedb/1210/1353
title: Fenofibrate Attenuates the Adverse Effects of Radiation on Endothelial Cells through Modulation of ROS-NO Signaling and Inflammation
title: Proteomics of endothelial irradiated cells treated with fenofibrate

description: To examine the potential effect of fenofibrate on irradiated cardiac endothelial cells, we compared the proteome of human coronary artery endothelial cells (HCAECs) treated with fenofibrate (10 µM) or DMSO alone 2 and 7days after irradiation (4 Gy) using label-free proteomics. The alterations in expression level and activity status of crucial proteins and mRNA contributing to the identified pathways were further validated. Fenofibrate restored the key signalling pathways that were affected by irradiation. These pathways include inflammatory response through interferon signalling, PI3K-AKT-eNOS signalling, oxidative stress response, and endothelial mesenchymal transition.
description: To assess the potential effects of fenofibrate on irradiated vascular endothelium, we
performed label-free proteomic analysis of human coronary artery endothelial cells
treated with fenofibrate (10 μM) or DMSO at 2- and 7-days post-irradiation (4 Gy).
DOI: 10.15468/dl.5absh8
title: Occurrence Download

description: A dataset containing 8256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orchestes fagi"
 ]
}

 The dataset includes 8256 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002242-251025141854904/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/13517201
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.sbqb37
title: Occurrence Download

description: A dataset containing 28740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Jamaica",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 28740 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002243-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/8wruuc
title: Bureauonderzoek Archeologie Bransveen Dedemsvaart (fase 3)

description: De gemeente Hardenberg is voornemens een nieuwbouwwijk te realiseren ten zuiden van Dedemsvaart. Dit project is bekend onder de naam Bransveen fase 3. Bij de uitvoering van de voorgenomen ontwikkeling kunnen mogelijk archeologische waarden worden verstoord. Archeologische waarden zullen nader worden toegelicht in paragraaf 1.4 (Normen en werkwijze). Het bureauonderzoek heeft als doel inzicht te verschaffen in de waarden die zich in het plangebied (kunnen) bevinden en geeft advies over eventueel uit te laten voeren archeologisch vervolgonderzoek in het veld.
DOI: 10.17026/ar/avxsve
title: Bureauonderzoek Archeologie, Aardkunde en Cultuurhistorie Brand Oost

description: De Brand is een gebied met waterafhankelijke natuur. In het gebied de Brand-West zijn al meerdere werkzaamheden verricht voor het verwezenlijken van natuur en natuurherstel. Stichting Noord Brabants Landschap, een samenwerking tussen Provincie Noord-Brabant en Waterschap De Dommel, gaat de nieuwe natuur aanleggen en de al aanwezige natuur herstellen van Brand-Oost. Natuurherstel is nodig voor het tegengaan van verdroging en verzuring van De Brand.

In opdracht van Stichting Noord Brabants Landschap heeft Arcadis Nederland een bureauonderzoek Aardkunde, Archeologie en Cultuurhistorie (AAC) uitgevoerd voor het projectgebied Brand-Oost. Voor het projectgebied de Brand Oost wordt gestart met het maken van een schetsontwerp (SO), de eerste stap in de ontwerpfase. Voorliggend rapport wordt uitgevoerd om cultuurhistorie, aardkunde en archeologie zo goed mogelijk in het ontwerp in te passen en kansen en risico's voor het ontwerp tijdig te signaleren en mee te nemen of te ontzien. Hiervoor wordt eerst inzicht gegeven in de aardkundige, archeologische en cultuurhistorische waarden die zich in het plangebied bevinden of verwacht worden.
DOI: 10.17026/ar/jdycxz
title: Bureauonderzoek Landschap, Cultuurhistorie en Archeologie - Politiebureau Zaandijk

description: In opdracht van de Nationale Politie heeft Arcadis Nederland bv een bureauonderzoek landschap, cultuurhistorie en archeologie (LCA) uitgevoerd voor aanpassingen aan het districtsbureau aan het Guishof in Zaandijk. Om een nieuw districtsbureau te realiseren wordt onder andere het bestaande gebouw gesloopt om vervolgens een nieuw gebouw te bouwen. Het ontwerp is nog niet definitief maar omvat ook de landschappelijke inpassing van het nieuwe bureau in de omgeving.

Bij de uitvoering van de voorgenomen ontwikkelingen kunnen landschappelijke, cultuurhistorische en archeologische waarden worden verstoord. Het bureauonderzoek heeft als doel inzicht te verschaffen in de aanwezigheid van deze waarden. Het onderzoek resulteert in een advies over hoe om te gaan met mogelijk aanwezige waarden. Voor het onderdeel archeologie wordt daarnaast een advies voor het al dan niet uitvoeren van vervolgonderzoek opgesteld.
DOI: 10.6084/m9.figshare.30453632
title: Medium quality MAGs from the Red Sea project

description: Brine pool environments are often assumed to support low diversity and biomass, recent work highlights the ability of deep-sea microbes to exploit reduced inorganic compounds such as hydrogen, nitrogen compounds, sulfide, or carbon monoxide to sustain life under energy-limited, anoxic conditions. However, how such adaptive strategies are employed in free-living (FL) and particle-attached (PA) microbial communities, and how they adapt to BP systems like the Atlantis II Deep compared to the adjacent ambient deep water (ADW) in the Red Sea, remains largely unexplored. To address this gap, we investigated microbial communities from the Atlantis II Deep BP at a depth of 850 m, along with ADW (11.5 km away from the BP), to assess how contrasting physicochemical conditions shape microbial diversity, metabolic potential, and ecological partitioning between FL and PA communities. We analyzed key metabolic pathways associated with multiple physicochemical processes, including carbon, hydrogen, nitrogen, and sulfur cycling, and reconstructed metagenome-assembled genomes (MAGs) to resolve the taxonomic composition and functional capacity of key resident microbes.
DOI: 10.6084/m9.figshare.30453632.v1
title: Medium quality MAGs from the Red Sea project

description: Brine pool environments are often assumed to support low diversity and biomass, recent work highlights the ability of deep-sea microbes to exploit reduced inorganic compounds such as hydrogen, nitrogen compounds, sulfide, or carbon monoxide to sustain life under energy-limited, anoxic conditions. However, how such adaptive strategies are employed in free-living (FL) and particle-attached (PA) microbial communities, and how they adapt to BP systems like the Atlantis II Deep compared to the adjacent ambient deep water (ADW) in the Red Sea, remains largely unexplored. To address this gap, we investigated microbial communities from the Atlantis II Deep BP at a depth of 850 m, along with ADW (11.5 km away from the BP), to assess how contrasting physicochemical conditions shape microbial diversity, metabolic potential, and ecological partitioning between FL and PA communities. We analyzed key metabolic pathways associated with multiple physicochemical processes, including carbon, hydrogen, nitrogen, and sulfur cycling, and reconstructed metagenome-assembled genomes (MAGs) to resolve the taxonomic composition and functional capacity of key resident microbes.
DOI: 10.17026/ar/8sionx
title: Bureauonderzoek Archeologie Hoenwaard

description: In opdracht van Waterschap Vallei en Veluwe heeft Arcadis Nederland bv een archeologisch bureauonderzoek uitgevoerd voor plangebied Hoenwaard.

Op 8 december 2016 hebben de Stuurgroep Veluwekroon en Bestuurlijke Begeleidingsgroep IJsseldijk, ingestemd met het opstellen van een plan van aanpak voor een verkenning voor de Hoenwaard in 2030. Dit heeft geleid tot het gebiedsplan Hoenwaard 2030 waarin verschillende plannen op elkaar afgestemd zijn. De inrichting bestaat uit verschillende soorten maatregelen. Het gebiedsproces Hoenwaard 2030 betreft een samenwerking tussen vijf overheidsorganisaties; Rijkswaterstaat, de provincie Gelderland, Waterschap Vallei en IJssel en de gemeenten Hattem en Heerde.

Bij de uitvoering van de voorgenomen ontwikkelingen kunnen mogelijk archeologische waarden worden verstoord. Het bureauonderzoek heeft als doel inzicht te verschaffen in de archeologische waarden die zich in het plangebied kunnen bevinden.

De exacte ingrepen (oppervlakte, diepte en locaties) zijn nog niet bekend. Middels een aanvullende nota op dit bureauonderzoek archeologie zal het advies voor vervolgonderzoek worden gespecificeerd. De nota kan worden opgesteld als de ingrepen (oppervlakte, diepte, locatie) duidelijk zijn. Dit rapport dient daarbij als leidraad om de maatregelen op af te stemmen om zodoende potentiële impact op eventueel aanwezige resten zo klein mogelijk te maken.
DOI: 10.17026/ar/flnexx
title: Bureauonderzoek Archeologie en Cultuurhistorie Welsum-Katerstede

description: Rijkswaterstaat Oost-Nederland (RWS ON) heeft een omvangrijke opgave voor de Kaderrichtlijn Water (KRW) te realiseren voor juni 2027. Het gaat om een Europese opgave die leidt tot het verhogen van natuurwaarde en waterkwaliteit langs het gehele rivierengebied van Oost-Nederland. 
Als programma werkt RWS al geruime tijd nauw samen met Staatsbosbeheer (SBB) voor het bereiken van synergie in doelen. Voor de uitvoering van de planstudie-opgave heeft RWS-opdracht verleend aan het samenwerkingsverband Arcadis, Antea Group, HKV Lijn in water en Bureau Waardenburg (GROW).
DOI: 10.17026/ar/d5si0f
title: Bureauonderzoek Archeologie HS Station te Gennep
title: AAR 367

description: In opdracht van Enexis Netbeheer B.V. heeft Arcadis Nederland bv een archeologisch bureauonderzoek uitgevoerd voor de uitbreiding van een hoogspanningsstation te Gennep. Het huidige bestemmingsplan "Gennep Zuid" dient hiervoor te worden aangepast. Een deel van het terrein dat ontwikkeld wordt, ligt binnen dit bestemmingsplan in een gebied met een dubbelbestemming 'waarde archeologie 4'. Om ontwikkeling hier mogelijk te maken dient in ieder geval een bureauonderzoek archeologie conform de KNA 4.1 uit te worden gevoerd.

Doel van dit bureauonderzoek is het in beeld brengen van de specifieke archeologische verwachting om op basis daarvan een inschatting te kunnen maken van de verwachte verstoring van eventuele archeologische vindplaatsen binnen de planvorming. Op basis hiervan wordt geadviseerd of er van de dubbelbestemming waarde archeologie in het nieuwe bestemmingsplan kan worden afgezien, of dat dit nog niet kan worden bepaald en hier nog vervolgonderzoek voor nodig is.
DOI: 10.17632/czvd3sdymh
title: A Multi-Class Bone Fracture X-Ray Image Dataset for Automatic Fracture Detection and Classification

description: Dataset Description:
 This dataset is a carefully prepared collection of bone X-ray images, categorized by fracture type, including Normal, Simple Fracture, and Major Fracture. To better reflect real-world scenarios, each image includes augmented versions that simulate variations in lighting, orientation, and imaging conditions. It is designed for researchers and developers working on machine learning and deep learning applications such as fracture detection, automated classification, and image segmentation. With its rich and well-structured content, the dataset provides a reliable foundation for developing innovative diagnostic and analytical solutions that support medical imaging, orthopedic diagnostics, and clinical decision-making, ultimately contributing to more accurate and efficient patient care.

Data Content:

Fracture Categories:

Normal:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 509
Number of Augmented Images: 3,054
Total Images in Dataset: 3,563

Simple Fracture:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 616
Number of Augmented Images: 3,696
Total Images in Dataset: 4,312

Major Fracture:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 559
Number of Augmented Images: 3,354
Total Images in Dataset: 3,913

Key Features:
Image Format: PNG
Total Number of Original Images: 1,684
Total Number of Augmented Images: 10,104
Total Dataset Size (Original + Augmented): 11,788 images

Augmentation Techniques:
Rotation: ±30° to simulate variations in bone orientation and patient positioning.
Brightness & Contrast: α 0.85–1.15, β −25 to +25 to mimic lighting variability.
Shift: ±20 pixels to handle minor misalignments.
Zoom: 0.85–1.15 scaling for scale and translation invariance.
Flips: Horizontal/vertical, 50% probability for spatial diversity.

Applications:
Medical Imaging: Train and evaluate Machine Learning models for fracture detection, classification, and segmentation.
Healthcare Technology: Develop automated diagnostic tools and real-time fracture detection systems for clinical and mobile applications.
Medical Research: Study fracture patterns to advance diagnostic methods and treatment strategies.

Data Acquisition:
 The X-ray images in this dataset were collected from hospital records following ethical guidelines and anonymized to ensure patient privacy. Experienced radiologists and medical professionals manually annotated the images to accurately classify fracture types. The dataset underwent careful validation to ensure high quality and reliability, making it suitable for research in fracture detection, classification, and medical imaging applications.

Clinical Relevance:
 Represents diverse real-world imaging conditions, including different bone orientations, exposure levels, and patient positioning, providing robust data for model training and evaluation.
DOI: 10.17632/czvd3sdymh.1
title: A Multi-Class Bone Fracture X-Ray Image Dataset for Automatic Fracture Detection and Classification

description: Dataset Description:
 This dataset is a carefully prepared collection of bone X-ray images, categorized by fracture type, including Normal, Simple Fracture, and Major Fracture. To better reflect real-world scenarios, each image includes augmented versions that simulate variations in lighting, orientation, and imaging conditions. It is designed for researchers and developers working on machine learning and deep learning applications such as fracture detection, automated classification, and image segmentation. With its rich and well-structured content, the dataset provides a reliable foundation for developing innovative diagnostic and analytical solutions that support medical imaging, orthopedic diagnostics, and clinical decision-making, ultimately contributing to more accurate and efficient patient care.

Data Content:

Fracture Categories:

Normal:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 509
Number of Augmented Images: 3,054
Total Images in Dataset: 3,563

Simple Fracture:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 616
Number of Augmented Images: 3,696
Total Images in Dataset: 4,312

Major Fracture:
Source: Collected directly from hospital records.
Number of Original X-ray Images: 559
Number of Augmented Images: 3,354
Total Images in Dataset: 3,913

Key Features:
Image Format: PNG
Total Number of Original Images: 1,684
Total Number of Augmented Images: 10,104
Total Dataset Size (Original + Augmented): 11,788 images

Augmentation Techniques:
Rotation: ±30° to simulate variations in bone orientation and patient positioning.
Brightness & Contrast: α 0.85–1.15, β −25 to +25 to mimic lighting variability.
Shift: ±20 pixels to handle minor misalignments.
Zoom: 0.85–1.15 scaling for scale and translation invariance.
Flips: Horizontal/vertical, 50% probability for spatial diversity.

Applications:
Medical Imaging: Train and evaluate Machine Learning models for fracture detection, classification, and segmentation.
Healthcare Technology: Develop automated diagnostic tools and real-time fracture detection systems for clinical and mobile applications.
Medical Research: Study fracture patterns to advance diagnostic methods and treatment strategies.

Data Acquisition:
 The X-ray images in this dataset were collected from hospital records following ethical guidelines and anonymized to ensure patient privacy. Experienced radiologists and medical professionals manually annotated the images to accurately classify fracture types. The dataset underwent careful validation to ensure high quality and reliability, making it suitable for research in fracture detection, classification, and medical imaging applications.

Clinical Relevance:
 Represents diverse real-world imaging conditions, including different bone orientations, exposure levels, and patient positioning, providing robust data for model training and evaluation.
DOI: 10.17632/wyf4w7rpdv
title: Hic-RNA-data

description: supplementary data for MbovP475
DOI: 10.17632/wyf4w7rpdv.1
title: Hic-RNA-data

description: supplementary data for MbovP475
DOI: 10.17632/v9cpwtjf6t
title: LINF_290005100

description: FACT complex subunit | Spt16; Leishmania infantum (strain JPCM5)
DOI: 10.17632/v9cpwtjf6t.2
title: LINF_290005100

description: FACT complex subunit | Spt16; Leishmania infantum (strain JPCM5)
DOI: 10.17632/2pztvtrv8d
title: Co-application of biochar and compost enhanced soil carbon sequestration in urban green space

description: Data will be published in Frontiers in Microbiology. The data included soil physical and chemical properties and microbial biomass carbon, nitrogen, phosphorus and their enzyme activities, including soil metagenomic data.
DOI: 10.17632/2pztvtrv8d.1
title: Co-application of biochar and compost enhanced soil carbon sequestration in urban green space

description: Data will be published in Frontiers in Microbiology. The data included soil physical and chemical properties and microbial biomass carbon, nitrogen, phosphorus and their enzyme activities, including soil metagenomic data.
DOI: 10.17632/bs5b9gyv4c
title: Investigating salivary growth factor responses to tooth extraction in patients with type 2 diabetes: A prospective observational comparative study

description: Investigating Salivary Growth Factor Responses to Tooth Extraction in Patients with Type 2 Diabetes
DOI: 10.17632/bs5b9gyv4c.2
title: Investigating salivary growth factor responses to tooth extraction in patients with type 2 diabetes: A prospective observational comparative study

description: Investigating Salivary Growth Factor Responses to Tooth Extraction in Patients with Type 2 Diabetes
DOI: 10.5281/zenodo.17415691
title: Genotype data of seedlings from pine stands renewed by direct mechanized seeding using seeds from the Salaca pine seed plantation

description: This is a data set of genotypes of seedlings from pine stands established by direct mechnised seeding. Seeds were obtained from the Salaca Scots pine seed plantation.

DNA was extracted from needles using a modified CTAB method (Porebski et al. 1997). Genotyping was done with 16 microsatellite markers - psyl2, psyl16, psyl18, psyl25, psyl42, psyl44, psyl57, psyl17, psyl19, psyl36 (Sebastiani et al. 2012), SPAC12.5, SPAC 11.6 (Soranzo et al. 1998), PtTX2146, PtTX4011, PtTX4001, PtTX3107 (Aukland et al. 2002). PCR reaction were done in four multiplex bins – Bin1 (PtTX4011, PtTX4001, PtTX3107, psyl17, psyl19, psyl36), Bin2 (PtTX2146, SPAC12.5, SPAC 11.6), Bin3 (psyl16, psyl25, psyl44), Bin4 (psyl18, psyl2, psyl57, psyl42). The genotype data file also includes maternal assignments determined using the Cervus software (Kalinowski et al. 2007) for all stands analyzed together, as well as for each stand analyzed separately.

This research was performed within the National Research Programme project No. VPP-ZM-VRIIILA-2024/2-0002 "Innovation in Forest Management and Value Chain for Latvia's Growth: New Forest Services, Products and Technologies (Forest4LV)"
DOI: 10.5281/zenodo.17415692
title: Genotype data of seedlings from pine stands renewed by direct mechanized seeding using seeds from the Salaca pine seed plantation

description: This is a data set of genotypes of seedlings from pine stands established by direct mechnised seeding. Seeds were obtained from the Salaca Scots pine seed plantation.

DNA was extracted from needles using a modified CTAB method (Porebski et al. 1997). Genotyping was done with 16 microsatellite markers - psyl2, psyl16, psyl18, psyl25, psyl42, psyl44, psyl57, psyl17, psyl19, psyl36 (Sebastiani et al. 2012), SPAC12.5, SPAC 11.6 (Soranzo et al. 1998), PtTX2146, PtTX4011, PtTX4001, PtTX3107 (Aukland et al. 2002). PCR reaction were done in four multiplex bins – Bin1 (PtTX4011, PtTX4001, PtTX3107, psyl17, psyl19, psyl36), Bin2 (PtTX2146, SPAC12.5, SPAC 11.6), Bin3 (psyl16, psyl25, psyl44), Bin4 (psyl18, psyl2, psyl57, psyl42). The genotype data file also includes maternal assignments determined using the Cervus software (Kalinowski et al. 2007) for all stands analyzed together, as well as for each stand analyzed separately.

This research was performed within the National Research Programme project No. VPP-ZM-VRIIILA-2024/2-0002 "Innovation in Forest Management and Value Chain for Latvia's Growth: New Forest Services, Products and Technologies (Forest4LV)"
DOI: 10.15468/dl.m45vus
title: Occurrence Download

description: A dataset containing 14178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ondatra zibethicus",
 "Year 2025-2025"
 ]
}

 The dataset includes 14178 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002244-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.