cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2eeaa9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Afrixalus aureus, Afrixalus delicatus, Afrixalus fornasini, Afrixalus knysnae, Afrixalus spinifrons, Amietia delalandii, Amietia fuscigula, Amietia hymenopus, Amietia poyntoni, Amietia vandijki, Amietia vertebralis, Anhydrophryne hewitti, Anhydrophryne ngongoniensis, Anhydrophryne rattrayi, Arthroleptella atermina, Arthroleptella bicolor, Arthroleptella draconella, Arthroleptella drewesii, Arthroleptella kogelbergensis, Arthroleptella landdrosia, Arthroleptella lightfooti, Arthroleptella rugosa, Arthroleptella subvoce, Arthroleptella villiersi, Arthroleptis stenodactylus, Arthroleptis wageri, Arthroleptis wahlbergii, Breviceps acutirostris, Breviceps adspersus, Breviceps bagginsi, Breviceps branchi, Breviceps carruthersi, Breviceps fuscus, Breviceps gibbosus, Breviceps macrops, Breviceps montanus, Breviceps mossambicus, Breviceps namaquensis, Breviceps passmorei, Breviceps pentheri, Breviceps rosei, Breviceps sopranus, Breviceps sylvestris, Breviceps verrucosus, Cacosternum aggestum, Cacosternum australis, Cacosternum boettgeri, Cacosternum capense, Cacosternum karooicum, Cacosternum namaquense, Cacosternum nanogularum, Cacosternum nanum, Cacosternum parvum, Cacosternum platys, Cacosternum rhythmum, Cacosternum striatum, Cacosternum thorini, Capensibufo deceptus, Capensibufo magistratus, Capensibufo rosei, Capensibufo selenophos, Capensibufo tradouwi, Chiromantis xerampelina, Hadromophryne natalensis, Heleophryne depressa, Heleophryne hewitti, Heleophryne orientalis, Heleophryne purcelli, Heleophryne regis, Heleophryne rosei, Hemisus guineensis, Hemisus guttatus, Hemisus marmoratus, Hildebrandtia ornata, Hyperolius argus, Hyperolius horstockii, Hyperolius marmoratus, Hyperolius pickersgilli, Hyperolius poweri, Hyperolius pusillus, Hyperolius semidiscus, Hyperolius tuberilinguis, Kassina senegalensis, Leptopelis mossambicus, Leptopelis natalensis, Leptopelis xenodactylus, Microbatrachella capensis, Natalobatrachus bonebergi, Phlyctimantis maculatus, Phrynobatrachus acridoides, Phrynobatrachus mababiensis, Phrynobatrachus natalensis, Phrynomantis annectens, Phrynomantis bifasciatus, Poyntonia paludicola, Poyntonophrynus fenoulheti, Poyntonophrynus vertebralis, Ptychadena anchietae, Ptychadena mossambica, Ptychadena nilotica)",
 "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 ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023329-250827131500795/datasets/export for details.
DOI: 10.17632/7ptysvs4fs
title: GPS Tracking Dataset of Cruise Passengers in Palermo City, Italy

description: The dataset provides comprehensive insights into the geographic movements of a sample of cruise passengers in Palermo, Italy, as captured through a series of GPS tracking data collected in 2014. The data are stored in CSV format, with each one assigned a unique identifier, resulting in 162 distinct participants' paths stored in the folder labelled "Original Data". The data are restricted to tourists who did not purchase an organised tour and remained within the city limits. The preprocessed data, which is also organised by unique identifiers in a manner consistent with the original data, is available for consultation in the folder labelled 'Preprocessed Data'. The dataset not only records the movements of passengers but also offers insights into the diverse travel behaviours exhibited during their visit. The original data set comprises 161 comma-separated values (CSV) files, each bearing a distinctive trajectory identification number and encompassing the following fields:
- Date: The date of the GPS recording is recorded in the format YYYY-MM-DD.
- Time (local time zone): The time at which the recording was made in local time (hours and minutes). 
- Latitude: The north-south geographic coordinate is expressed in decimal degrees. 
- Longitude: The east-west geographic coordinate is expressed in decimal degrees. 
- Altitude (metres): The altitude in metres above sea level. 
- Velocity (kilometres per hour): The velocity of the tracked object is expressed in kilometres per hour. 
Furthermore, a Comma-Separated Values file, entitled 'Register', is provided, which details the commencement and conclusion times for each trajectory, classified by unique identifier. The start time refers to the point at which the tourist departs with the GPS device, while the end time indicates their return. Data points recorded prior to the start or subsequent to the end times encompass the researcher's actions, such as device activation and retrieval.

References: De Cantis, S., Ferrante, M., Kahani, A., & Shoval, N. (2016). Cruise passengers' behavior at the destination: Investigation using GPS technology. Tourism Management, 52, 133-150. Doi: https://doi.org/10.1016/j.tourman.2015.06.018
DOI: 10.17632/7ptysvs4fs.2
title: GPS Tracking Dataset of Cruise Passengers in Palermo City, Italy

description: The dataset provides comprehensive insights into the geographic movements of a sample of cruise passengers in Palermo, Italy, as captured through a series of GPS tracking data collected in 2014. The data are stored in CSV format, with each one assigned a unique identifier, resulting in 162 distinct participants' paths stored in the folder labelled "Original Data". The data are restricted to tourists who did not purchase an organised tour and remained within the city limits. The preprocessed data, which is also organised by unique identifiers in a manner consistent with the original data, is available for consultation in the folder labelled 'Preprocessed Data'. The dataset not only records the movements of passengers but also offers insights into the diverse travel behaviours exhibited during their visit. The original data set comprises 161 comma-separated values (CSV) files, each bearing a distinctive trajectory identification number and encompassing the following fields:
- Date: The date of the GPS recording is recorded in the format YYYY-MM-DD.
- Time (local time zone): The time at which the recording was made in local time (hours and minutes). 
- Latitude: The north-south geographic coordinate is expressed in decimal degrees. 
- Longitude: The east-west geographic coordinate is expressed in decimal degrees. 
- Altitude (metres): The altitude in metres above sea level. 
- Velocity (kilometres per hour): The velocity of the tracked object is expressed in kilometres per hour. 
Furthermore, a Comma-Separated Values file, entitled 'Register', is provided, which details the commencement and conclusion times for each trajectory, classified by unique identifier. The start time refers to the point at which the tourist departs with the GPS device, while the end time indicates their return. Data points recorded prior to the start or subsequent to the end times encompass the researcher's actions, such as device activation and retrieval.

References: De Cantis, S., Ferrante, M., Kahani, A., & Shoval, N. (2016). Cruise passengers' behavior at the destination: Investigation using GPS technology. Tourism Management, 52, 133-150. Doi: https://doi.org/10.1016/j.tourman.2015.06.018
DOI: 10.17632/d9y5mmgf6j.1
title: The road to digital innovation: Vertical spillovers of corporate income tax incentives

description: Replication Package for:
The road to digital innovation: Vertical spillovers of corporate income tax incentives
Authors: Kun Li, Siyu Wan
Date: September 10, 2025


Overview 
This repository contains the code, data, and detailed instructions necessary to replicate the main results and figures presented in the paper. Due to data-sharing restrictions, we provide a synthetic dataset with anonymized firm identifiers, which reproduces all key findings.
DOI: 10.17632/j4rbk4gnr4.1
title: CD73_inhibitors_SQM

description: The experimental affinities for the 64 compounds together with their SQM2.20 scores (correlation R2 of 0.4) and their scaled and shifted values (Fig. 3 of the paper) are listed in all.dat. Splits by the series are also provided (the other .dat files). SQM2.20 optimized complexes are provided (.pdb).
DOI: 10.17632/szwfc6kvt8
title: Carbon and nitrogen input fluxes and recycling efficiencies in the Manila Subduction Zone in the South China Sea

description: Controlled by the subduction-collision system of the Neo-Tethyan tectonic domain, a large number of small marginal basins and their associated subduction zones have developed along ancient suture zones, e.g., the South China Sea (SCS) and Manila subduction zone. These marginal basins provide an example to study the carbon(C) and nitrogen(N) cycling mechanisms coupled between surface reservoirs and the deep mantle during the late evolution of the Neo-Tethyan tectonic domain. As fluid-active and volatile elements, C and Nn play important roles in the transport and climate between the atmosphere, hydrosphere, and lithosphere, as well as in crust-mantle material cycling. International Ocean Discovery Program (IODP) Sites U1431, U143, and U1503 recovered near-complete sequences of oceanic crust from initial spreading to relict ridges. These samples provide a suitable opportunity to quantify C and N input fluxes and recycling efficiencies in the Manila subduction zone. Here, we measure the C and N concentrations as well as isotope values of sediments and basalts from the SCS using a Thermo Scientific FLASH 2000 Elemental Analyzer and a Delta V Isotope Ratio Mass Spectrometer. The C and N input fluxes to the Manila subduction zone were further calculated by combining different computational models. Using the C and N concentrations of the SCS oceanic crust as a reference, we estimated unit C and N input fluxes to these marginal sea subduction zones associated with the Neo-Tethyan tectonic domain. In addition, we collected ³He, Ne, Ar, N₂, and CO₂ concentrations in the emissions from the high-temperature geothermal systems associated with the Luzon arc, which were used in the final calculations of arc-volcanic output fluxes from the Luzon arc as well as C and N cycling efficiencies in the Manila subduction zone. The above data provide new insights into the cycling of volatiles during global-scale tectonic events.
Supplemental Table S1. Carbon and Nitrogen concentrations and isotopic compositions of the SCS samples.
Supplemental Table S2. The cut-off depth of the 100 ºC isotherm.
Supplemental Table S3. The concentrations of ³He, Ne, Ar, N₂, and CO₂ (mmol/mol of dry gas) in emissions from high-temperature geothermal systems ssociated with Luzon arc.
Supplementary Methods.
DOI: 10.17632/szwfc6kvt8.2
title: Carbon and nitrogen input fluxes and recycling efficiencies in the Manila Subduction Zone in the South China Sea

description: Controlled by the subduction-collision system of the Neo-Tethyan tectonic domain, a large number of small marginal basins and their associated subduction zones have developed along ancient suture zones, e.g., the South China Sea (SCS) and Manila subduction zone. These marginal basins provide an example to study the carbon(C) and nitrogen(N) cycling mechanisms coupled between surface reservoirs and the deep mantle during the late evolution of the Neo-Tethyan tectonic domain. As fluid-active and volatile elements, C and Nn play important roles in the transport and climate between the atmosphere, hydrosphere, and lithosphere, as well as in crust-mantle material cycling. International Ocean Discovery Program (IODP) Sites U1431, U143, and U1503 recovered near-complete sequences of oceanic crust from initial spreading to relict ridges. These samples provide a suitable opportunity to quantify C and N input fluxes and recycling efficiencies in the Manila subduction zone. Here, we measure the C and N concentrations as well as isotope values of sediments and basalts from the SCS using a Thermo Scientific FLASH 2000 Elemental Analyzer and a Delta V Isotope Ratio Mass Spectrometer. The C and N input fluxes to the Manila subduction zone were further calculated by combining different computational models. Using the C and N concentrations of the SCS oceanic crust as a reference, we estimated unit C and N input fluxes to these marginal sea subduction zones associated with the Neo-Tethyan tectonic domain. In addition, we collected ³He, Ne, Ar, N₂, and CO₂ concentrations in the emissions from the high-temperature geothermal systems associated with the Luzon arc, which were used in the final calculations of arc-volcanic output fluxes from the Luzon arc as well as C and N cycling efficiencies in the Manila subduction zone. The above data provide new insights into the cycling of volatiles during global-scale tectonic events.
Supplemental Table S1. Carbon and Nitrogen concentrations and isotopic compositions of the SCS samples.
Supplemental Table S2. The cut-off depth of the 100 ºC isotherm.
Supplemental Table S3. The concentrations of ³He, Ne, Ar, N₂, and CO₂ (mmol/mol of dry gas) in emissions from high-temperature geothermal systems ssociated with Luzon arc.
Supplementary Methods.
DOI: 10.17632/kj8yswt43h
title: Data of article "Composition, permeability, and porosity of sediments in a reef area in Xcalak, Quintana Roo, Mexico"

description: Database of values sediment indices for statistical analysis
DOI: 10.17632/kj8yswt43h.1
title: Data of article "Composition, permeability, and porosity of sediments in a reef area in Xcalak, Quintana Roo, Mexico"

description: Database of values sediment indices for statistical analysis
DOI: 10.17632/ydf4zt5hzb
title: MICALL2, MLXIPL, and MXD3 Link Serum Uric Acid to Immune Evasion and Drug Sensitivity in Prostate Cancer

description: MICALL2, MLXIPL, and MXD3 may promote PCa progression through metabolic–immune crosstalk and serve as potential prognostic biomarkers and predictors of therapeutic response, offering novel insights for precision treatment strategies.
DOI: 10.17632/ydf4zt5hzb.1
title: MICALL2, MLXIPL, and MXD3 Link Serum Uric Acid to Immune Evasion and Drug Sensitivity in Prostate Cancer

description: MICALL2, MLXIPL, and MXD3 may promote PCa progression through metabolic–immune crosstalk and serve as potential prognostic biomarkers and predictors of therapeutic response, offering novel insights for precision treatment strategies.
DOI: 10.60911/chapman.29925035
title: HRV Data and Codes in R

description: This dataset contains anonymized heart rate variability (HRV) data collected from 87 first responders who participated in a one-month mindfulness intervention. Participants wore Garmin Vivosmart 5 devices to capture continuous beat-to-beat interval (BBI) data before and after the intervention. Processed measures include traditional HRV indices (SDNN, RMSSD) and nonlinear complexity metrics (Sample Entropy, Multiscale Entropy, Recurrence Rate, Determinism). The dataset supports analysis of how digital mindfulness interventions influence autonomic regulation and physiological complexity in high-stress populations.
DOI: 10.60911/chapman.29925035.v1
title: HRV Data and Codes in R

description: This dataset contains anonymized heart rate variability (HRV) data collected from 87 first responders who participated in a one-month mindfulness intervention. Participants wore Garmin Vivosmart 5 devices to capture continuous beat-to-beat interval (BBI) data before and after the intervention. Processed measures include traditional HRV indices (SDNN, RMSSD) and nonlinear complexity metrics (Sample Entropy, Multiscale Entropy, Recurrence Rate, Determinism). The dataset supports analysis of how digital mindfulness interventions influence autonomic regulation and physiological complexity in high-stress populations.
DOI: 10.15468/dl.26qq7j
title: Occurrence Download

description: A dataset containing 31561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Carex cespitosa"
 ]
}

 The dataset includes 31561 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023328-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zg9z9
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panaque armbrusteri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023330-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgetxm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudelmidolia, Pseudomacronychus decoratus, Pseudomacronychus, , Rapnus, , Stenelmis ares, Stenelmis gades, Stenelmis noblei, Stenelmis prusias, Stenelmis thusa, , Tropidelmis hintoni, , , , Aulonogyrus caffer, , , , , , , , , Dineutus aereus, Dineutus subspinosus, , , , , , , , Algophilus, Haliplus natalensis, , Aulacochthebius, Discozantaena brevicollis, Discozantaena, Discozantaena drakensbergensis, Discozantaena endroedyi, Discozantaena galea, Discozantaena genuvela, Discozantaena karroo, Discozantaena leleupi, Discozantaena ovata, Discozantaena sepiola, Discozantaena sequentia, Discozantaena tibiovela, Hydraena accurata, Hydraena cooperi, Hydraena monikae, Mesoceration, Mesoceration apicalum)",
 "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 ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023333-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5m85ynry9c
title: Charpy Impact Test Data for Asphalt Mixtures – Ductile-to-Brittle Transition Evaluation

description: This dataset contains results from Charpy impact tests conducted on asphalt mixture specimens to evaluate whether the material exhibits a ductile-to-brittle transition (DBTT) as temperature decreases. The impact energy absorbed before fracture was quantified and normalized by the specimen cross-sectional area to calculate toughness, enabling direct comparison of fracture resistance across different temperatures and mix samples. The dataset supports research on asphalt performance in cold environments and the applicability of DBTT concepts (commonly studied in metals) to asphalt materials. The DBTT was evaluated by examining the effect of temperature variation on notched bar impact work and analyzing different mixture compositions. Results indicate that, like metals, the energy required to fracture asphalt materials increases with temperature, exhibiting brittle behavior at low temperatures and ductile behavior at high temperatures. A significant change in impact energy absorption was observed within a narrow temperature range, confirming that DBTT is a suitable test for assessing asphalt mixture behavior.

Contents:

Mix Sample / Test ID: Unique identifier for each tested specimen.

Temp (°C): Test temperature.

Wnbi (J): Notched bar impact work (impact energy absorbed).

Dimensions (L, H, h, W, mm): Geometrical measurements of specimens.

A0_mm2 (mm²): Cross-sectional area of the notched specimen.

Snbi (J/mm²): Normalized impact toughness, calculated as energy divided by cross-sectional area.

Key Use:

Identifying the ductile-to-brittle transition temperature (DBTT) in asphalt mixtures.

Comparing fracture energy across mixtures and temperatures.

Supporting material selection for cold climates.

File format: Excel (.xlsx), multiple sheets with results from different test series.
DOI: 10.17632/5m85ynry9c.1
title: Charpy Impact Test Data for Asphalt Mixtures – Ductile-to-Brittle Transition Evaluation

description: This dataset contains results from Charpy impact tests conducted on asphalt mixture specimens to evaluate whether the material exhibits a ductile-to-brittle transition (DBTT) as temperature decreases. The impact energy absorbed before fracture was quantified and normalized by the specimen cross-sectional area to calculate toughness, enabling direct comparison of fracture resistance across different temperatures and mix samples. The dataset supports research on asphalt performance in cold environments and the applicability of DBTT concepts (commonly studied in metals) to asphalt materials. The DBTT was evaluated by examining the effect of temperature variation on notched bar impact work and analyzing different mixture compositions. Results indicate that, like metals, the energy required to fracture asphalt materials increases with temperature, exhibiting brittle behavior at low temperatures and ductile behavior at high temperatures. A significant change in impact energy absorption was observed within a narrow temperature range, confirming that DBTT is a suitable test for assessing asphalt mixture behavior.

Contents:

Mix Sample / Test ID: Unique identifier for each tested specimen.

Temp (°C): Test temperature.

Wnbi (J): Notched bar impact work (impact energy absorbed).

Dimensions (L, H, h, W, mm): Geometrical measurements of specimens.

A0_mm2 (mm²): Cross-sectional area of the notched specimen.

Snbi (J/mm²): Normalized impact toughness, calculated as energy divided by cross-sectional area.

Key Use:

Identifying the ductile-to-brittle transition temperature (DBTT) in asphalt mixtures.

Comparing fracture energy across mixtures and temperatures.

Supporting material selection for cold climates.

File format: Excel (.xlsx), multiple sheets with results from different test series.
DOI: 10.17632/myssjw5gdm
title: Elixira: A Feasibility Framework for AI-Guided Nanomedicine in Cancer Prevention

description: Invented and founded by Tess Fries in 2025, this white paper presents Elixira, a breakthrough technology in AI-guided nanomedicine, designed for autonomous lifelong cancer prevention across all cancer types.
 
It integrates nanotechnology, artificial intelligence, and self-powered nanoscale energy harvesting to enable real-time, continuous detection and elimination of emerging cancer cells.
 
Formally introduced under the title “Elixira: A Feasibility Framework for AI-Guided Nanomedicine in Cancer Prevention,” this publication establishes a permanent and citable public record of the invention’s scope and feasibility. It documents the scientific foundations, independent feasibility confirmation by a leading CRO in 2025, and the ethical and societal relevance of transitioning from reactive cancer treatment to proactive lifelong prevention.
 
This public disclosure secures priority as prior art while maintaining protection of sensitive intellectual property. This work is authored and published by Tess Fries, inventor and founder of Elixira, and constitutes an official public disclosure establishing ownership and authorship.