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

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procellariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((50 80,60 80,60 90,50 90,50 80))"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020196-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq4td7
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus gravesii)",
 "StateProvince is one of (Mexico Northeast, Texas)",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 388 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020193-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdr32k
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orobanche ramosa",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020195-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsb859
title: Occurrence Download

description: A dataset containing 74935 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Hypericum androsaemum)"
 ]
}

 The dataset includes 74935 records from 618 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020165-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34804/supra.20210928209
title: Carboxylate Binding by 2-(Guanidiniocarbonyl)pyrrole Receptors in Aqueous Solvents: Improving the Binding Properties of Guanidinium Cations through Additional Hydrogen Bonds
DOI: 10.34804/supra.2021092867
title: Cucurbit[8]uril Mediated Donor–Acceptor Ternary Complexes: A Model System for Studying Charge-Transfer Interactions

description: A supramolecular self-assembly approach is described which allows for the convenient preparation of a wide range of charge-transfer (CT) donor–acceptor complexes in aqueous solutions. When one equiv of the macrocyclic host cucurbit[8]uril (CB[8]) is added to an aqueous donor and acceptor solution, a heteroternary complex forms inside the host’s cavity with a well-defined face-to-face π–π-stacking geometry of the donor and acceptor. This heteroternary, CB[8]-mediated complex offers the opportunity to study the CT phenomena at low concentrations and free from complications arising from any donor–donor and acceptor–acceptor interactions as a result of the large binding affinities and the very high selectivity over the formation of these homoternary complexes. Thus, this supramolocular self-assembly strategy is a practical donor–acceptor mix-and-match approach with synthetic advantages over much more cumbersome tethering schemes. While the characteristic UV/vis features of a few CB[8] ternary systems had been described as a CT band, we present for the first time systematic evidence for the existence of CT interactions between several donor–acceptor pairs that are mediated by the host CB[8]. Correlation of the experimentally obtained CT λmax to computed HOMO–LUMO energies demonstrated that the CT process in the host’s cavity can be described by the Mulliken model. Furthermore, the literature claim of a “CT driving force” for the formation of CB[8] ternary complexes was scrutinized and evaluated by calorimetric (ITC) and ESI-MS measurements. The findings indicated that neither in the aqueous medium nor in the “gas-phase” is CT of energetic relevance to the Gibbs free binding energy. In contrast, electrostatic considerations combined with solvation effects are much better suited to rationalize the observed trends in binding affinities. Additionally, the CT λmax was found to be much more red-shifted (≥75 nm) inside the CB[8] cavity than in any polar organic solvents or water, indicating a significant stabilization of the CT excited state within the host cavity, further demonstrating the unique electrostatic, polar properties of the host cavity.
DOI: 10.5281/zenodo.18820010
title: A Novel Multi-Scale Engineering Framework for Personalized Neuromodulation in Parkinson's Disease: Integrating Control Theory, Bayesian Inference, and Neural Dynamics

description: This conceptual paper introduces a groundbreaking framework, termed Multi-Scale Adaptive Neuromodulation Engineering (MANE), at the intersection of biomechanical engineering, control theory, and clinical neuroscience. MANE aims to revolutionize personalized neuromodulation therapies for Parkinson's disease (PD) by integrating multi-scale neural modeling—from cellular ion channels to network dynamics—with adaptive control systems and time-varying Bayesian inference for real-time parameter optimization amid disease progression and biological rhythms. We derive detailed mathematical formulations, including stochastic extensions of the FitzHugh-Nagumo (FHN) equations for neural excitability, engineering control laws with stability proofs, and spatio-temporal kernels for Bayesian optimization. Supported by reproducible Python simulations using parameter ranges derived from public datasets such as the REMAP multimodal dataset, Parkinson's Progression Markers Initiative (PPMI), Neural Activity Dataset for Parkinson's Disease on Kaggle, and OpenNeuro repositories, the framework incorporates advanced sensitivity analysis (Sobol methods), quantitative statistics, Bayesian updating for uncertainty quantification, and falsifiability assessments. Applications to closed-loop deep brain stimulation (DBS) are emphasized, with strategies for programming adaptive DBS to track beta power fluctuations. The framework is linked to credible real-world data from sources like the REMAP dataset and mPower study, fostering unprecedented creativity in guiding therapeutic interventions, enhancing understanding of PD pathophysiology, and providing actionable insights for clinical translation and scientific advancement.
DOI: 10.5281/zenodo.18820009
title: A Novel Multi-Scale Engineering Framework for Personalized Neuromodulation in Parkinson's Disease: Integrating Control Theory, Bayesian Inference, and Neural Dynamics

description: This conceptual paper introduces a groundbreaking framework, termed Multi-Scale Adaptive Neuromodulation Engineering (MANE), at the intersection of biomechanical engineering, control theory, and clinical neuroscience. MANE aims to revolutionize personalized neuromodulation therapies for Parkinson's disease (PD) by integrating multi-scale neural modeling—from cellular ion channels to network dynamics—with adaptive control systems and time-varying Bayesian inference for real-time parameter optimization amid disease progression and biological rhythms. We derive detailed mathematical formulations, including stochastic extensions of the FitzHugh-Nagumo (FHN) equations for neural excitability, engineering control laws with stability proofs, and spatio-temporal kernels for Bayesian optimization. Supported by reproducible Python simulations using parameter ranges derived from public datasets such as the REMAP multimodal dataset, Parkinson's Progression Markers Initiative (PPMI), Neural Activity Dataset for Parkinson's Disease on Kaggle, and OpenNeuro repositories, the framework incorporates advanced sensitivity analysis (Sobol methods), quantitative statistics, Bayesian updating for uncertainty quantification, and falsifiability assessments. Applications to closed-loop deep brain stimulation (DBS) are emphasized, with strategies for programming adaptive DBS to track beta power fluctuations. The framework is linked to credible real-world data from sources like the REMAP dataset and mPower study, fostering unprecedented creativity in guiding therapeutic interventions, enhancing understanding of PD pathophysiology, and providing actionable insights for clinical translation and scientific advancement.
DOI: 10.5281/zenodo.18820006
title: Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires

description: The raw data used in this study were collected via Brandwatch and cannot be publicly shared due to the platform's data privacy and security policy  (https://www.brandwatch.com/legal/). Researchers seeking access to the original X data must obtain it through the official platform channels and in accordance with applicable policies. For academic and non-commercial purposes regarding data access procedures, the X post IDs associated with the dataset will be made available by the corresponding authors upon request, allowing for independent verification and replication.
DOI: 10.15468/dl.3zrayp
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiropotes albinasus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 113 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004955-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c46vft
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Pseudochromis caudalis"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004954-260226173443078/datasets/export for details.
DOI: 10.3886/e208207v3-199912
title: National Neighborhood Data Archive (NaNDA): Social Services by Census Tract and ZCTA, United States, 1990-2021

description: This dataset contains measures of the number and density of social
services, such as community centers, child and youth services, services for the
elderly and persons with disabilities, meal delivery programs, substance abuse
counseling, day care services, and more per United States Census Tract or ZIP
Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four
separate files for four different geographic areas (GIS shapefiles from the
United States Census Bureau). The four geographies include:<br>Census Tract 2010Census Tract 2020 ZIP Code Tabulation Area (ZCTA) 2010ZIP Code Tabulation Area (ZCTA) 2020 Information about which dataset to use can be found in the
Usage Notes section of this document.<br>
description: Smallest Geographic Unit: Census Tract
DOI: 10.15468/dl.zavumh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Schedophilus velaini"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004959-260226173443078/datasets/export for details.
DOI: 10.5281/zenodo.13731856
title: Data for 'Warming drives large-scale shifts in post-disturbance vegetation dynamics and expansion of deciduous trees in the boreal forest in a dynamic vegetation model'

description: This is the database containing all the data needed to reproduce the results of the paper.



`patches2.duckdb` is a database contained pre-processed LPJ-GUESS patch-level output data

`raw` contains all further data needed: climate and environmental covariates and output from single- and muti-PFT LPJ-GUESS runs used to determine the theretical and realised niche of all PFTs


This is an updated version, supplied with the reviewed version of the manuscript. 

For LPJ-GUESS model code, refer to https://zenodo.org/record/8065737. For data processing refer to https://github.com/lucialayr/borealRecovery 

 

If you are interested in the raw data, please contact me.
DOI: 10.5281/zenodo.18819857
title: Data for 'Warming drives large-scale shifts in post-disturbance vegetation dynamics and expansion of deciduous trees in the boreal forest in a dynamic vegetation model'

description: This is the database containing all the data needed to reproduce the results of the paper.



`patches2.duckdb` is a database contained pre-processed LPJ-GUESS patch-level output data

`raw` contains all further data needed: climate and environmental covariates and output from single- and muti-PFT LPJ-GUESS runs used to determine the theretical and realised niche of all PFTs


This is an updated version, supplied with the reviewed version of the manuscript. 

For LPJ-GUESS model code, refer to https://zenodo.org/record/8065737. For data processing refer to https://github.com/lucialayr/borealRecovery 

 

If you are interested in the raw data, please contact me.
DOI: 10.15468/dl.6pffp9
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiropotes satanas",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 51 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004960-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmbvrt
title: Occurrence Download

description: A dataset containing 48734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Euphorbia heterophylla, , , , , , , , , , , , , , , , , , , , , , , Euphorbia heterophylla, , , , , , , , Lipotriches blandula, Burtinus notatipennis, , Hyalymenus tarsatus, , Lipotriches clavata, Nomia bouyssoui, , , , , , , , , , Gargaphia lunulata, , Geranium carolinianum, , Olonia rubicunda, , Amblyseius swirskii, , Amblyseius herbicolus, Poinsettia graminifolia, , , Euphorbia havanensis, Poinsettia edwardsae, Euphorbia geniculata, , , , , Poinsettia geniculata, , , , , , , , , , , , , , , , , , , , , , Poinsettia havanensis, Poinsettia morisoniana, , Euphorbia calyciflora, , , , , Euphorbia taiwaniana, Poinsettia cyathophora, , Euphorbia linifolia, , , , , , , , , , , , , , , , , , , , Tithymalus prunifolius, , Euphorbia epilobiifolia, , , , , Cyathophora ciliata, Poinsettia heterophylla, Poinsettia ruiziana, , , , , , , , , , , , , , , , , , , , , , , , , , , Euphorbia frangulaefolia, , , Agaloma angustifolia, Poinsettia edwardsii, , , Poinsettia taiwaniana, , Euphorbia cyathophora, , , , , , , , , , , , , , , , , , Euphorbia morisoniana, , Euphorbia trachyphylla, Euphorbia lockhartii, , , , , , Tithymalus heterophyllus, , , , , , , , , , , , , , , , , , , , , , , Euphorbia pandurata, Euphorbia morisoniana, , , , , , , , , , , Euphorbia angustifolia, Euphorbia graminifolia, , Tithymalus cyatophorus, , , , , , , , , , , , , , , , , , , , , , , , , Euphorbia havanensis, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Euphorbia pandurifolia, , , , , , , Poinsettia barbellata, , Euphorbia frangulifolia, Euphorbia prunifolia, , Poinsettia cyathophora, Poinsettia frangulifolia, Euphorbia angustifolia, , , , , , , , , , , , , , , , , , , , , , , Poinsettia prunifolia, Euphorbia barbellata, Cyathophora picta, Cyathophora heterophyla, , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48734 records from 696 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004958-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34804/supra.2021092830
title: Binding behaviour and solubilisation of p-sulfonatocalixarenes to cinchona alkaloids

description: (2014). Binding behaviour and solubilisation of p-sulfonatocalixarenes to cinchona alkaloids. Supramolecular Chemistry: Vol. 26, No. 10-12, pp. 809-816.
DOI: 10.3886/e209313v1-199913
title: National Neighborhood Data Archive (NaNDA): Grocery and Food Stores by Census Tract and ZCTA, United States, 1990-2021

description: This dataset contains measures of the number and density of grocery stores,
supermarkets, food stores, fruit and vegetable stores, meat and fish markets,
and warehouse clubs (such as Costco and Sams Club) selling food per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:<br>● Census Tract 2010 ● Census Tract 2020● ZIP Code Tabulation Area (ZCTA) 2010 ● ZIP Code Tabulation Area (ZCTA) 2020<br><br>Information about which dataset to use can be found in the Usage Notes section of this document.
description: SIC code identified public-facing and membership grocers in the fifty United States including Alaska and Hawaii and the US island territories. Smallest Geographic Unit: Census Tract
description: other;
DOI: 10.15468/dl.b8c6yq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiropotes utahickae",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004964-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78a3ch
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Tetragonurus pacificus"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004962-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5073/20231024-173119-0
title: Dataset: InsectSound1000

description: InsectSound1000 is a dataset comprising more than 169000 labelled sound samples of 12 insects. The insect's sound level spans from very loud Bombus terrestris, to inaudible to human ears Aphidoletes aphidimyza. The samples were extracted from more than 1000 h of recordings made in an anechoic box with a four-channel low-noise measurement microphone array. Each sample is a four-channel wave-file of 2500 ms length, at 16 kHz sample rate and 32 bit resolution. Acoustic insect recognition holds great potential to form the basis of a digital insect sensor. Such sensors are desperately needed to automate pest monitoring and ecological monitoring. With its significant size and high-quality recordings, InsectSound1000 can be used to train data-hungry deep learning models. Used to pre-train models, it can also be leveraged to enable the development of acoustic insect recognition systems on different hardware or for different insects. Further, the methodology employed to create the dataset is presented in detail to allow for the extension of the published dataset.
DOI: 10.5281/zenodo.18820034
title: Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires

description: The raw data used in this study were collected via Brandwatch and cannot be publicly shared due to the platform's data privacy and security policy  (https://www.brandwatch.com/legal/). Researchers seeking access to the original X data must obtain it through the official platform channels and in accordance with applicable policies. For academic and non-commercial purposes regarding data access procedures, the X post IDs associated with the dataset will be made available by the corresponding authors upon request, allowing for independent verification and replication.
DOI: 10.15468/dl.rxh9yd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Mugilogobius fusculus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004967-260226173443078/datasets/export for details.
DOI: 10.15468/dl.dcbbqt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coendou nycthemera",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004968-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.