cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1106345.10fu
title: SH1106345.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1106346.10fu
title: SH1106346.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/srfrr9vf8f.1
title: Effects of manual perineal protection and pushing techniques used in the second stage of labor on perineal outcomes: A randomized controlled trial of combinations of strategies.

description: Objective: To evaluate the combined impact of interventional (HOCP) and relatively more spontaneous techniques (HPUCP) employed during the second stage of labor on perineal outcomes.
HOCP: Hands-on perineal protection and coached pushing
HPUCP: Hands-poised perineal protection and uncoached pushing
DOI: 10.6084/m9.figshare.28608461
title: Phytoplankton community in the Qiantang river-estuary-coastal sea continuum in different seasons

description: Species composition and abundance of phytoplankton in the Qiantang river-estuary-coastal sea continuum in dry, dry-to-wet transition, and wet seasons during 2022–2023.
DOI: 10.5281/zenodo.13151800
title: Gridded snow melt-out date (SMOD) dataset for Pyrenees, European Alps and Greater Caucasus at 30-m spatial resolution and two periods, 1985-1996 and 2011-2022

description: This data set described snow melt-out date (SMOD) at a 30-m spatial resolution obtained from Landsat time series for two 12-year periods: one corresponding to the beginning of the Landsat series (1985-1996), the other to the end (2011-2022), for three mountain ranges in Europe: the Pyrenes, the European Alps and the Greater Caucasus. 

This data is stored in TIF format, with each period and mountain range forming a separate file. In each case, a file is provided with and without masks as described in the paper. Changes in SMOD are also available for each mountain range. These files can be opened with ArcIS, QGIS, R, and other tools.
DOI: 10.5281/zenodo.13151801
title: Gridded snow melt-out date (SMOD) dataset for Pyrenees, European Alps and Greater Caucasus at 30-m spatial resolution and two periods, 1985-1996 and 2011-2022

description: This data set described snow melt-out date (SMOD) at a 30-m spatial resolution obtained from Landsat time series for two 12-year periods: one corresponding to the beginning of the Landsat series (1985-1996), the other to the end (2011-2022), for three mountain ranges in Europe: the Pyrenes, the European Alps and the Greater Caucasus. 

This data is stored in TIF format, with each period and mountain range forming a separate file. In each case, a file is provided with and without masks as described in the paper. Changes in SMOD are also available for each mountain range. These files can be opened with ArcIS, QGIS, R, and other tools.
DOI: 10.26036/cnp0004857
title: The genomes of wild and cultivated Gynochthodes

description: The genome sequencing data of wild Morinda and cultivated Gynochthodes
DOI: 10.5281/zenodo.15040739
title: The Detection of Toxic Amyloid-β Fibril Fragments Through a Surface Plasmon Resonance Immunoassay

description: Amyloid-β1–42 (Aβ42) forms highly stable and insoluble fibrillar structures, representingthe principal components of the amyloid plaques present in the brain of Alzheimer’s disease (AD)patients. The involvement of Aβ42 in AD-associated neurodegeneration has also been demonstrated,in particular for smaller and soluble aggregates (oligomers). Based on these findings and on geneticevidence, Aβ42 aggregates are considered key players in the pathogenesis of AD and targets for noveltherapies. Different approaches are currently used to detect the various aggregation states of Aβpeptide, including spectrophotometric methods, imaging techniques, and immunoassays, but all ofthese have specific limitations. To overcome them, we have recently exploited the peculiar propertiesof surface plasmon resonance (SPR) to develop an immunoassay capable of selectively detectingmonomers and oligomers, discriminating them also from bigger fibrils in a mixture of differentaggregated species, without any manipulation of the solution. In the present study, we extendedthese previous studies, showing that the SPR-based immunoassay makes it possible to unveil thefibril fragmentation induced mechanically, a result difficult to be conveniently and reliably assessedwith other approaches. Moreover, we show that SPR-recognized fibril fragments are more toxic thanthe larger fibrillar structures, suggesting the relevance of the proposed SPR-based immunoassay
DOI: 10.5281/zenodo.15040740
title: The Detection of Toxic Amyloid-β Fibril Fragments Through a Surface Plasmon Resonance Immunoassay

description: Amyloid-β1–42 (Aβ42) forms highly stable and insoluble fibrillar structures, representingthe principal components of the amyloid plaques present in the brain of Alzheimer’s disease (AD)patients. The involvement of Aβ42 in AD-associated neurodegeneration has also been demonstrated,in particular for smaller and soluble aggregates (oligomers). Based on these findings and on geneticevidence, Aβ42 aggregates are considered key players in the pathogenesis of AD and targets for noveltherapies. Different approaches are currently used to detect the various aggregation states of Aβpeptide, including spectrophotometric methods, imaging techniques, and immunoassays, but all ofthese have specific limitations. To overcome them, we have recently exploited the peculiar propertiesof surface plasmon resonance (SPR) to develop an immunoassay capable of selectively detectingmonomers and oligomers, discriminating them also from bigger fibrils in a mixture of differentaggregated species, without any manipulation of the solution. In the present study, we extendedthese previous studies, showing that the SPR-based immunoassay makes it possible to unveil thefibril fragmentation induced mechanically, a result difficult to be conveniently and reliably assessedwith other approaches. Moreover, we show that SPR-recognized fibril fragments are more toxic thanthe larger fibrillar structures, suggesting the relevance of the proposed SPR-based immunoassay
DOI: 10.17632/3btg6ptc7b.1
title: Transfer Value Determinants

description: This dataset contains the data for finding out what affects the transfer value in association football
DOI: 10.17632/3btg6ptc7b.2
title: Transfer Value Determinants

description: This dataset contains the data for finding out what affects the transfer value in association football
DOI: 10.15468/dl.ekxn5g
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-17.38226 28.00042,-17.07887 28.00042,-17.07887 28.23286,-17.38226 28.23286,-17.38226 28.00042))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gennaria diphylla (Link) Parl."
 ]
}

 The dataset includes 58 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013109-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fpzvxvk6sm.1
title: Benthic Macroinvertebrates as Bioindicators for Assessing Water Quality in the Cañipia River, Cusco, Peru

description: Introduction. Benthic macroinvertebrates (BMIs) serve as bioindicators of water quality due to their sensitivity to physicochemical alterations from pollution. Objective. This study assessed water quality in the Cañipia River, Cusco, Peru, using BMIs as bioindicators.
Materials and Methods. Four monitoring stations were sampled in dry and wet seasons. BMIs were identified at the family level to calculate diversity and biotic indices. Physicochemical parameters and heavy metal concentrations in water and sediment were also analyzed.
Results. Elmidae and Chironomidae were the most abundant families. The BMWP/Col index classified water quality from critical to doubtful, the ABI index ranged from poor to good, and the EPT index indicated poor to moderate quality. The Simpson index showed fluctuating diversity (low to high in the low-flow season, moderate to high in the high-flow season), while the Shannon index indicated low to moderate diversity. The DMg index was higher in the wet season. Only the RCañi1 station, upstream of the formal mining area, exceeded Peruvian regulatory limits for Ba, Cu, Mn, and Zn in water. Canonical Correspondence Analysis (CCA) revealed seasonal relationships between metal concentrations and biotic indices.
Conclusions. The three biotic indices suggest moderate water quality impact in the Cañipia River, likely influenced by anthropogenic factors.
DOI: 10.17632/fg3vncht33.1
title: Component & String Effects on Fractions

description: ### Research Hypothesis 
We hypothesized that both component size and string length influence fraction magnitude comparison in children and adults, with string length amplifying the whole number bias. Children were expected to be more affected than adults. 

### Data Collection 
We tested 37 fifth-grade students (age 11) and 34 college students (age 20) using fraction comparison tasks with different and same string lengths. Accuracy and response times were recorded. 

### Key Findings 
1. **Bias and Influence**: Both children and adults exhibited whole number bias, influenced by both component size and string length. 
2. **Age Differences**: Children were more affected by component size than adults. 
3. **String Length Effect**: String length amplified the whole number bias, as shown by greater response time bias in different string length tasks. 

### Interpretation and Implications 
The findings suggest that fraction processing is affected by component size and string length, with string length exacerbating the whole number bias. This highlights the need for educational strategies that address these biases, such as using varied fraction representations and developing inhibitory control skills. Future research should explore individual differences and cross-cultural contexts.
DOI: 10.15468/dl.bjnthn
title: Occurrence Download

description: A dataset containing 58449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sula sula (Linnaeus, 1766)"
 ]
}

 The dataset includes 58449 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013088-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.8943476
title: Food Democracy in the Context of Socio-economic Deprivation

description: field notes, workshop transcripts, emails pictures from action research work
DOI: 10.25405/data.ncl.8943476.v1
title: Food Democracy in the Context of Socio-economic Deprivation

description: field notes, workshop transcripts, emails pictures from action research work
DOI: 10.57703/ce-zrz5d
title: BJP Inconel 625: Green Sample (Traditional Techniques)

description: Stylus Profilometry, 3D Microscopy, and Scanning White-Light Interferometry measurements were taken on an Inconel 625 sample created with binder-jet printing, not sintered.
 
Here are the print parameters: 
Powder preparation: nitrogen gas atomization
Particle distribution: 16 – 63 microns
Mean particle size: 20 – 25 microns
Layer thickness: 100 microns
Nozzle spacing: 64 nozzles in parallel with the print head
Sample Orientation: the build direction is in the positive z direction, the print bed movement is on the x-axis, and the roller direction is on the y-axis. 
The surface measured on this sample is the positive y-face of orientation

Surface Topography data for this surface was collected on a stylus profilometer (Alfastep IQ, KLA-Tencor, Milpitas, CA). A 3D digital microscope (VR-3200 Keyence, Itasca, Illinois) was also used for 3D microscopy (via fringe projection). Scanning white-light interferometry (Contour GT-I, Bruker, Billerica Massachusetts) was also performed.

The data is associated with the following publication:
Brown, C., Nescio, M., Chadha, V., Zheng, C., Abelev, E., Chmielus, M., and Jacobs, T.D.B. The Difficulty of Measuring Surface Topography in Additive Manufacturing: A Comparison Between Measured and True Surface Features of Binder-Jet Printed Samples. ASME Journal of Tribology (2025).
DOI: 10.17632/frj7sv7f85.1
title: MOH, PHI, and PHM Spatial Boundaries of Puttalam District, Sri Lanka

description: This dataset contains spatial boundary data for Medical Officer of Health (MOH), Public Health Inspector (PHI), and Public Health Midwife (PHM) areas within the Puttalam District, Sri Lanka, as of 10th March 2025. Provided in shapefile format (SHP) and KML format (for Google Earth), it is suitable for geospatial analysis, mapping, and public health research. The data supports public health planning and resource allocation, epidemiological studies on disease distribution, and GIS applications for spatial visualization and decision-making. PDF versions of the maps are also included for easy reference. The dataset is compatible with geospatial tools.
DOI: 10.15468/dl.s9xurr
title: Occurrence Download

description: A dataset containing 3313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectatomma tuberculatum (Olivier, 1792)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3313 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013111-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7p4zmkdd43.1
title: Geoenvironmental data of the Cesar River, Colombia

description: The database includes climatic, hydrological, physicochemical, and erosion information for 2005–2019.
Climatic and hydrological data were provided by IDEAM stations. . Modeled monthly mean flow data for stations 3 and 4 were also incorporated, obtained using the HydroBID hydrological model.
Water quality information comes from official sources for stations 1, 3, and 4. It was also supplemented with gray literature from water resource management plans, watershed management plans, utility reports, and scientific research describing the river's water quality conditions (Gutiérrez et al., 2011; Núñez & Reyes, 2012; Madera et al., 2016). Modeled data from the dynamic water quality model (DynQual) were also included. This model simulates five variables with a monthly temporal resolution and a spatial resolution of 10 km: water temperature (T), total dissolved solids (TDS), biological oxygen demand (BOD), and fecal coliforms (FC).
Due to the scarcity of sediment concentration data from official stations, the database includes 10-year projections (2010-2020) calculated by the RUSLE erosion model. These projections allow the analysis of erosion levels in the area influenced by stations 3, 4, and 19.
Regarding its structure, the database was designed using a hierarchical metadata system with a relational database (RDBMS) based on the international standard SQL/MED (SQL Management of External Data) to ensure interoperability between database systems and the management of external data using SQL (ISO, 2016). The normalization process achieved the third normal form (3NF), ensuring that each primary element is accessible by a unique key (Skavantzos & Link, 2023). Additionally, the criteria for the second normal form (2NF) were met, eliminating transitive dependencies between non-key attributes.
Due to the scarcity of sediment concentration data from official stations, the database includes 10-year projections (2010-2020) calculated by the RUSLE erosion model. These projections allow for the analysis of erosion levels in the area influenced by stations 3, 4, and 19.
Regarding its structure, the database was designed using a hierarchical metadata system with a relational database (RDBMS) based on the international standard SQL/MED (SQL Management of External Data) to ensure interoperability between database systems and the management of external data using SQL (ISO, 2016). The normalization process achieved the third normal form (3NF), ensuring that each primary element is accessible by a unique key (Skavantzos & Link, 2023). Furthermore, the criteria for the second normal form (2NF) were met, eliminating transitive dependencies between non-key attributes.
DOI: 10.17632/gt5zn3mdtt.1
title: CHC identification (LC-MS/MS) Rimpei Morita

description: These results are relate to Figure S1A.
DOI: 10.15468/dl.grqdh3
title: Occurrence Download

description: A dataset containing 26709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Ephemeroptera"
 ]
}

 The dataset includes 26709 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013112-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cft64n33rg
title: Comprehensive Preoperative Hematological and Clinicopathological Dataset of ESCC Patients Post McKeown Esophagectomy (2017-2020)

description: This dataset comprises retrospective clinical and hematological data from 304 patients diagnosed with esophageal squamous cell carcinoma (ESCC) who underwent radical McKeown esophagectomy (R0 resection) at the Department of Thoracic Surgery, Provincial Hospital Affiliated to Fuzhou University, between January 2017 and October 2020. The dataset includes comprehensive preoperative hematological parameters, such as fasting blood glucose (FBG), absolute lymphocyte count (ALC), absolute neutrophil count (ANC), platelet count, and serum albumin concentration, alongside relevant clinicopathological characteristics.
 To enable a holistic assessment of preoperative physiological status, multiple validated composite indices were calculated, reflecting metabolic, inflammatory, and nutritional profiles. These indices include the albumin-to-alkaline phosphatase ratio (AAPR), albumin-globulin ratio (AGR), albumin-bilirubin (ALBI) grade, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-hemoglobin ratio (PHR), neutrophil-to-high-density lipoprotein ratio (NHR), systemic inflammatory response index (SIRI), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), controlling nutritional status (CONUT) score, and triglyceride-glucose (TyG) index. The formulas used for calculating these indices are as follows:

ALBI score = (log₁₀ bilirubin [μmol/L] × 0.66) + (albumin [g/L] × -0.0852)

SIRI = (neutrophils × monocytes) / lymphocytes

PNI = albumin (g/L) + (5 × total lymphocytes [10⁹/L])

SII = (platelets × neutrophils) / lymphocytes

CONUT score = albumin score + total lymphocyte count score + total cholesterol score

TyG index = Ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL) / 2]

 This dataset provides a robust foundation for investigating the relationship between preoperative physiological status and clinical outcomes in ESCC patients, offering valuable insights for prognostic assessment and therapeutic strategy optimization.
DOI: 10.17632/cft64n33rg.1
title: Comprehensive Preoperative Hematological and Clinicopathological Dataset of ESCC Patients Post McKeown Esophagectomy (2017-2020)

description: This dataset comprises retrospective clinical and hematological data from 304 patients diagnosed with esophageal squamous cell carcinoma (ESCC) who underwent radical McKeown esophagectomy (R0 resection) at the Department of Thoracic Surgery, Provincial Hospital Affiliated to Fuzhou University, between January 2017 and October 2020. The dataset includes comprehensive preoperative hematological parameters, such as fasting blood glucose (FBG), absolute lymphocyte count (ALC), absolute neutrophil count (ANC), platelet count, and serum albumin concentration, alongside relevant clinicopathological characteristics.
 To enable a holistic assessment of preoperative physiological status, multiple validated composite indices were calculated, reflecting metabolic, inflammatory, and nutritional profiles. These indices include the albumin-to-alkaline phosphatase ratio (AAPR), albumin-globulin ratio (AGR), albumin-bilirubin (ALBI) grade, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-hemoglobin ratio (PHR), neutrophil-to-high-density lipoprotein ratio (NHR), systemic inflammatory response index (SIRI), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), controlling nutritional status (CONUT) score, and triglyceride-glucose (TyG) index. The formulas used for calculating these indices are as follows:

ALBI score = (log₁₀ bilirubin [μmol/L] × 0.66) + (albumin [g/L] × -0.0852)

SIRI = (neutrophils × monocytes) / lymphocytes

PNI = albumin (g/L) + (5 × total lymphocytes [10⁹/L])

SII = (platelets × neutrophils) / lymphocytes

CONUT score = albumin score + total lymphocyte count score + total cholesterol score

TyG index = Ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL) / 2]

 This dataset provides a robust foundation for investigating the relationship between preoperative physiological status and clinical outcomes in ESCC patients, offering valuable insights for prognostic assessment and therapeutic strategy optimization.
DOI: 10.17632/h3zystx72y.1
title: The program for the quantitative analysis of the transmission dynamics of adenovirus outbreak in recruits based on a dynamic social network

description: The main program of the model.
DOI: 10.17632/h3zystx72y.2
title: The program for the quantitative analysis of the transmission dynamics of adenovirus outbreak in recruits based on a dynamic social network

description: The main program of the model.
DOI: 10.17632/h3zystx72y
title: The program for quantitative analysis of the transmission dynamics of adenovirus outbreak in a training center based on a dynamic social network.

description: The main program of the model.