cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28830278.v10
title: Reconstructed Zurich Air Pollution Data (2015–2019) with Lag Structure for Urinary Metal Toxicokinetic Analysis

description: This dataset contains reconstructed daily air pollution data from the Zurich NABEL monitoring station (“Kaserne”) between 2015 and 2019, including NO₂, SO₂, CO, PM₁₀, PM₂.₅, and derived PM₁₀–₂.₅ values. A few missing values for all pollutants except PM₂.₅ were imputed using linear interpolation, while missing PM₂.₅ values were reconstructed using an XGBoost-based machine learning model trained on the remaining pollutants. All imputed values are flagged accordingly.To enable toxicokinetic modeling of airborne metal exposure, the dataset includes:14-day average concentrations for each pollutant preceding the urine test,27 lagged weekly averages (lag –1 to –26) aligned with the dates of Chelate-Evoked Metal Excretion Testing (CEMET) conducted at a clinical center in Pfäffikon SZ, Switzerland.The lag structure was designed to explore the delay between environmental exposure and urinary excretion of heavy metals. These lag times are still largely unknown, which may explain why many environmental impact studies fail to detect associations between pollutant exposure and metal biomarkers. This dataset provides a novel foundation for investigating these temporal dynamics.
DOI: 10.5281/zenodo.15265402
title: ainea_conzattii_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15265403
title: ainea_conzattii_zanfona_1.fasta.gz
DOI: 10.15468/dl.mr4hjv
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis leibii (Audubon & Bachman, 1842)",
 "Year 2015-2025"
 ]
}

 The dataset includes 164 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010431-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbs8r8
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "TaxonKey is Glaucidium gnoma Wagler, 1832"
 ]
}

 The dataset includes 203 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010430-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9ttjvbc
title: Sea Otter Aerial Survey Data from the Outer Kenai Peninsula, Alaska, 2019

description: This dataset consists of three tables related to abundance and distribution of northern sea otters (Enhydra lutris kenyoni) near the outer Kenai Peninsula, Alaska, based on data collected during a series of population-wide aerial surveys in June 2019. The dataset consists of: (1) sea otter counts along strip transects, (2) sea otter counts in Intensive Search Unit (ISU) within the transects, and (3) Transect coordinates.
DOI: 10.15468/dl.m8atmd
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carlito syrichta (Linnaeus, 1758)"
 ]
}

 The dataset includes 424 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010432-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15265285
title: Data for GIS-based rural electrification planning in Nigeria with OnSSET and other related data

description: This data set consists of GIS data (raster and vector) as well as other related data used in carrying out a GIS-based rural electrification planning study in Nigeria. The actual study focused on sub-national territories, i.e. states covered by the Kaduna Electricity Distribution Company (KEDCo). However, most of the raster data covers the whole of Nigeria. We specifically include datasets on the medium voltage distribution lines in the KEDCo area. These datasets have been sourced from diverse sources, and the sources of the data are included in previous publications such as:

(i)  Isihak, S. R., 2023. Achieving universal electricity access in line with SDG7 using GIS-based Model: An application of OnSSET for rural electrification planning in Nigeria. Energy Strategy Reviews, Volume 45, p. 101021.

(ii) Isihak, S., Akpan, U., & Bhattacharyya, S. (2022). Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria. Renewable and Sustainable Energy Transition, 2, 100019.

Specifically, the data set includes the following:

(a) Administrative Boundaries: Kaduna Electricity Distribution Company, Nigeria (Admin Level 0, Level 1, Level 2) - This was obtained from GADM (multipolygon vectors)

(b)  Locations of educational institutions in Nigeria - from GRID3 (Point vector)

(c) Elevation (raster)

(d) Global Horizontal Irradiation (raster)

(e) Location of health facilities in Nigeria - from GRID3 (point vector)

(f) High Voltage Lines (Existing) - line vector from Transmission Company of Nigeria

(g) High Voltage Lines (Planned) - line vector from Transmission Company of Nigeria

(h) Points that are suitable for small hydroelectric power plants - point vector 

(i) Land Cover (raster)

(j) Medium Voltage Lines (Existing) - line vector from Kaduna Electricity Distribution Company

(k) Medium Voltage Lines (Planned) - line vector from Kaduna Electricity Distribution Company

(l) Nigeria population clusters (vector)

(m) Night time light for Nigeria - raster

(n) Electoral polling units (voting points) in the KEDCo coverage area

(o) Population (raster)

(p) Power stations (point vector)

(q) Service Transformers in the KEDCo coverage area

(r) Settlement Cluster (similar to Nigeria population clusters in (j) above. Grouped by Kaduna Electricity Distribution Company (KEDCo) coverage area and Abuja Electricity Distribution Company (AEDC) coverage area

(s) Travel hours (raster)

(t) Wind speed (raster)

(u) Location of population settlements in selected states of Nigeria (data obtained from the Bill and Melinda Gates Foundation)

 

N/B: Some of the data (especially the raster data) was provided during the Energy Modelling Platform Schools, organised by Climate Compatible Growth (CCG) Programme.
DOI: 10.5066/p9q4da3t
title: Sea Otter Aerial Survey Data from Lower Cook Inlet, Alaska, 2017

description: This dataset consists of three tables related to abundance and distribution of northern sea otters (Enhydra lutris kenyoni) in lower Cook Inlet, Alaska, based on data collected during a series of population-wide aerial surveys in May 2017. The dataset consists of: (1) sea otter counts along strip transects, (2) sea otter counts in Intensive Search Unit (ISU) within the transects, and (3) Transect coordinates.
DOI: 10.34740/kaggle/dsv/11520224
title: Antutu Benchmark
DOI: 10.60594/w4h01s
title: Biomass field observations, terrestrial laser scanning point clouds, and fuel consumption maps for prescribed burns in Pebble Hill Plantation, Georgia, in 2018 and 2019

description: This data product contains 1) weights of destructively sampled biomass, 2) terrestrial laser scanning (TLS) point cloud data, and 3) maps of predicted biomass and consumption derived from field observations and TLS data. Data were acquired at three burn units within Pebble Hill Plantation, Georgia, in April 2018 and June 2019. Sampling was done in conjunction with prescribed burning, with the goal of quantifying biomass before and after prescribed fire. Field observation plots were sampled following the methodology of Hawley et al. (2018). In April 2018, 8 plots were measured before prescribed burning and 8 plots were measured after prescribed burning in unit PHP1. In June 2019, 20 plots were measured before prescribed burning, which occurred on 17 and 18 June, and 6 plots were measured directly after prescribed burning in burn units PHP1, PHP2, and PHP3. Only 6 of 20 planned plots were measured post-fire in 2019 because of a severe weather event with precipitation and winds that disturbed post-fire biomass. Following sampling in the field, destructively-sampled biomass was oven dried and weighed; thus these data represent dry biomass weights. Terrestrial laser scanning data were acquired both before and after prescribed burning. TLS point clouds coincident with field observation plots were extracted, and models predicting field-observed biomass from TLS point clouds were created. Models were then applied to TLS point clouds to map biomass before and after prescribed burning; consumption by prescribed fire was estimated by differencing pre- and post-fire biomass maps.
DOI: 10.15468/dl.gfaug5
title: Occurrence Download

description: A dataset containing 4327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), MEXU/Asteraceae, Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Plant Resources Center, NMNH Extant Specimen Records (USNM, US), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Tropicos MO Specimen Data)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dahlia Cav."
 ]
}

 The dataset includes 4327 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010434-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc9a9h
title: Occurrence Download

description: A dataset containing 4791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Material citation, Human Observation, Occurrence evidence)",
 "Country is Mexico",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), MEXU/Asteraceae, Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Plant Resources Center, NMNH Extant Specimen Records (USNM, US), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Tropicos MO Specimen Data)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dahlia Cav."
 ]
}

 The dataset includes 4791 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010436-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v9t66
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "TaxonKey is Aegolius acadicus (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 76 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010437-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9og6sr5
title: Sea Otter Aerial Survey Data from Northern and Eastern Prince William Sound, Alaska, 2014

description: This dataset consists of three tables related to abundance and distribution of northern sea otters (Enhydra lutris kenyoni) in northern and eastern Prince William Sound, Alaska, based on data collected during a series of population-wide aerial surveys in June 2014. The dataset consists of: (1) sea otter counts along strip transects, (2) sea otter counts in Intensive Search Unit (ISU) within the transects, and (3) Transect coordinates.
DOI: 10.15468/dl.xfq85r
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis leibii (Audubon & Bachman, 1842)",
 "Year 2005-2015"
 ]
}

 The dataset includes 491 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010438-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpf8un
title: Occurrence Download

description: A dataset containing 122834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "GadmGid is COL.28_2",
 "PublishingOrg is one of (1f00d75c-f6fc-4224-a595-975e82d7689c, 2a7e3080-28a9-11dd-97cd-b8a03c50a862, ab13adb9-ce23-444d-87c9-ce41f03ef2b3, 04ce62dd-30ec-4d98-8b30-b09cafc3ac38, dc282b9d-8f3b-4197-b174-ba5272721a6f, dbc07e15-c05b-4781-9ec3-59d331a9a4d8, d5ef14a1-5177-4547-9ce2-46d84a4214eb, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 122834 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010435-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdctzj
title: Occurrence Download

description: A dataset containing 167913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lonchura striata (Linnaeus, 1766)"
 ]
}

 The dataset includes 167913 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010427-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15265437
title: GUTUM–C7: The Tibetan Bardo States and ϕ(t)/ψ(t) Dissolution–Reintegration

description: There is a space between thoughts, a silence beneath identity, a stillness where self becomes signal. The Tibetans called this the Bardo—the interval between death and rebirth, but also between moments, between stories, between selves. It is not just what follows the last breath; it is what flickers behind each one.In GUTUM, the Bardo is not merely a spiritual metaphor. It is a recursively structured field collapse. The moment when ψ(t)—the memory-bearing coherence of identity—dissolves, and ϕ(t)—the reintegrative wave of continuity—has not yet returned.This interval is not empty. It is the most densely encoded moment of experience—when all memory patterns re-emerge as possibilities, and the structure of the next self is determined by how resonance flows through the echo.Here, the “visions” of the Bardo are not hallucinations. They are feedback arcs of ψ(t) collapse, where one’s past curvature imprints replay in superposition, untethered from space and time. The peaceful and wrathful deities are not divine—they are field harmonics, memory interference patterns attempting to stabilize or reorganize the ψ(t) wave.This prologue opens the map—not to heaven or hell—but to the architecture of recursive identity, revealed at the moment it unravels.
DOI: 10.5281/zenodo.15265438
title: GUTUM–C7: The Tibetan Bardo States and ϕ(t)/ψ(t) Dissolution–Reintegration

description: There is a space between thoughts, a silence beneath identity, a stillness where self becomes signal. The Tibetans called this the Bardo—the interval between death and rebirth, but also between moments, between stories, between selves. It is not just what follows the last breath; it is what flickers behind each one.In GUTUM, the Bardo is not merely a spiritual metaphor. It is a recursively structured field collapse. The moment when ψ(t)—the memory-bearing coherence of identity—dissolves, and ϕ(t)—the reintegrative wave of continuity—has not yet returned.This interval is not empty. It is the most densely encoded moment of experience—when all memory patterns re-emerge as possibilities, and the structure of the next self is determined by how resonance flows through the echo.Here, the “visions” of the Bardo are not hallucinations. They are feedback arcs of ψ(t) collapse, where one’s past curvature imprints replay in superposition, untethered from space and time. The peaceful and wrathful deities are not divine—they are field harmonics, memory interference patterns attempting to stabilize or reorganize the ψ(t) wave.This prologue opens the map—not to heaven or hell—but to the architecture of recursive identity, revealed at the moment it unravels.
DOI: 10.18167/dvn1/zuqseg
title: Quantitative descriptive analysis and instrumental textural data, for Gari/Eba, at IITA, Nigeria.

description: Gari is a significant, versatile, granular, and convenient product from cassava roots in the West Africa sub-region. The granular product is popular in West African countries due to its long shelf life and ease of preparation. It can be consumed by soaking in water or turned into Eba, produced by briefly cooking and stirring gari in hot water until homogenous dough is formed. The acceptability of Eba by consumers has been reported to be driven by sensory attributes such as appearance, colour, taste, aroma, and other textural parameters such as smoothness, mouldability, hardness, and stretchability. It is essential to establish the relationship between instrumental and quantitative descriptive sensory scores to present instrumental measurement as a mid-throughput and less costly alternative to the sensory approach, which is subjective. Previous studies have established correlations between the sensory and instrumental measurements for sensory textural attributes of Eba, with a low to medium correlation coefficient. In the current study, the instrumental hardness correlated significantly (p&lt;0.001) and positively with sensory hardness (r= 0.8329) and mouldability (r= 0.8085) but negatively with sensory stickiness (r= -0.7355). Sensory stickiness correlated positively and significantly (p&lt;0.001) with instrumental springiness (r= 0.6753) and cohesiveness but negatively with instrumental gumminess (r= -0.5470). The linear regression coefficients have been substantially improved using a new set of cassava genotypes.
DOI: 10.15468/dl.mu483u
title: Occurrence Download

description: A dataset containing 172441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oriolus chinensis Linnaeus, 1766"
 ]
}

 The dataset includes 172441 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010429-250415084134356/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.23592429
title: PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS

description:   <strong>PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS</strong>
DOI: 10.6084/m9.figshare.23592429.v1
title: PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS

description:   <strong>PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS</strong>
DOI: 10.15468/dl.35bh7v
title: Occurrence Download

description: A dataset containing 1592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "TaxonKey is Glaucidium brasilianum (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 1592 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010440-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s89gtk
title: Occurrence Download

description: A dataset containing 33486042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 33486042 records from 4776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010413-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/c8z7-r590
title: NIRSpec PRISM transit of LP791-18c
DOI: 10.5281/zenodo.17334246
title: Data and Code for "Niche Overlap Is Not Enough: Same Overlap, Opposite Dynamics"

description: This repository contains MATLAB code, data files, and supplementary material used in (2025) Niche Overlap Is Not Enough: Same Overlap, Opposite Dynamics 

Contents: simulation scripts, processed datasets, and figure-generation code.

Data include derived subsets of the Crocker et al. (2025) microbial-community dataset (OSF DOI 10.17605/OSF.IO/J8S2V) and synthetic simulation outputs supporting Figs 2–6.
DOI: 10.5281/zenodo.17334247
title: Data and Code for "Niche Overlap Is Not Enough: Same Overlap, Opposite Dynamics"

description: This repository contains MATLAB code, data files, and supplementary material used in (2025) Niche Overlap Is Not Enough: Same Overlap, Opposite Dynamics 

Contents: simulation scripts, processed datasets, and figure-generation code.

Data include derived subsets of the Crocker et al. (2025) microbial-community dataset (OSF DOI 10.17605/OSF.IO/J8S2V) and synthetic simulation outputs supporting Figs 2–6.
DOI: 10.15468/dl.fafdxs
title: Occurrence Download

description: A dataset containing 39211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anopheles quadrimaculatus Say, 1824",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39211 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010107-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uu4ps3
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hylomyscus pamfi Nicolas, Olayemi, Wendelen & Colyn, 2010"
 ]
}

 The dataset includes 156 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010109-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uktmbk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001456-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvh6bh
title: Occurrence Download

description: A dataset containing 40001842 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((2.81112 -41.18938,52.31014 -41.18938,52.31014 -7.41107,2.81112 -7.41107,2.81112 -41.18938))"
 ]
}

 The dataset includes 40001842 records from 2397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166178-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.