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

description: A dataset containing 92641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuromamma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 92641 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021972-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48vgcw
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Riodinidae"
 ]
}

 The dataset includes 94 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022005-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/9dmz91
title: Data Management and Sharing Plan for: Multiomics Characterization, Induction, and Elimination of the HIV Gut Reservoir

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.17846306
title: MixtureSolDB, dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures

description: MixtureSolDB contains 175166 experimental solubility values within a temperature range from 252 to 383 K for 810 organic compounds as well as 3001 unique solute-binary solvent systems as well as 750 unique binary solvent mixtures extracted from 1115 peer-reviewed articles.

If you need a dataset for mono-solvents, BigSolDB 2.0 is available here: https://doi.org/10.5281/zenodo.15094979



The 20 columns of this dataset are explained as follows:



RecordID — stable unique identifier for each dataset row

SMILES_Solute — SMILES representation of the solute molecule

Temperature_K — temperature for the reported solubility value, K

Solubility(mole_fraction) — the reported solubility value expressed as mole fraction of solute

LogS(mole_fraction) — decimal logarithm of the solubility expressed as mole fraction of solute

Solubility(g/100g) — the recalculated solubility value expressed as grams of solute per 100 g of solvent

LogS(g/100g) — decimal logarithm of the solubility expressed as grams of solute per 100 g of solvent

Solvent1 — name of the first solvent component in the solvent mixture

Solvent2 — name of the second solvent component in the solvent mixture

SMILES_Solvent1 — SMILES representation of the first solvent component

SMILES_Solvent2 — SMILES representation of the second solvent component

Fraction_Solvent1 — initial fraction of the first solvent component in the solvent mixture (before solute addition), expressed according to Fraction_Type

Fraction_Solvent2 — initial fraction of the second solvent component in the solvent mixture (before solute addition), expressed according to Fraction_Type

Fraction_Type — fraction type for Fraction_Solvent1 and Fraction_Solvent2 ('mole' for mole fraction, 'mass' for mass fraction)

Compound_Name — solute name

CAS — solute CAS number

PubChem_CID — solute PubChem_CID

FDA_Approved — indicates whether the solute is approved by the U.S. Food and Drug Administration (FDA)

Source — DOI of a data source for given values

IsPureSolventEndpoint — flag indicating whether the solvent mixture corresponds to a pure-solvent endpoint (Fraction_Solvent1 = 0 or 1)





Online visualization and search across the dataset are available here: https://mixturesoldb.streamlit.app/
DOI: 10.5281/zenodo.18660057
title: MixtureSolDB, dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures

description: MixtureSolDB contains 175166 experimental solubility values within a temperature range from 252 to 383 K for 810 organic compounds as well as 3001 unique solute-binary solvent systems as well as 750 unique binary solvent mixtures extracted from 1115 peer-reviewed articles.

If you need a dataset for mono-solvents, BigSolDB 2.0 is available here: https://doi.org/10.5281/zenodo.15094979



The 20 columns of this dataset are explained as follows:



RecordID — stable unique identifier for each dataset row

SMILES_Solute — SMILES representation of the solute molecule

Temperature_K — temperature for the reported solubility value, K

Solubility(mole_fraction) — the reported solubility value expressed as mole fraction of solute

LogS(mole_fraction) — decimal logarithm of the solubility expressed as mole fraction of solute

Solubility(g/100g) — the recalculated solubility value expressed as grams of solute per 100 g of solvent

LogS(g/100g) — decimal logarithm of the solubility expressed as grams of solute per 100 g of solvent

Solvent1 — name of the first solvent component in the solvent mixture

Solvent2 — name of the second solvent component in the solvent mixture

SMILES_Solvent1 — SMILES representation of the first solvent component

SMILES_Solvent2 — SMILES representation of the second solvent component

Fraction_Solvent1 — initial fraction of the first solvent component in the solvent mixture (before solute addition), expressed according to Fraction_Type

Fraction_Solvent2 — initial fraction of the second solvent component in the solvent mixture (before solute addition), expressed according to Fraction_Type

Fraction_Type — fraction type for Fraction_Solvent1 and Fraction_Solvent2 ('mole' for mole fraction, 'mass' for mass fraction)

Compound_Name — solute name

CAS — solute CAS number

PubChem_CID — solute PubChem_CID

FDA_Approved — indicates whether the solute is approved by the U.S. Food and Drug Administration (FDA)

Source — DOI of a data source for given values

IsPureSolventEndpoint — flag indicating whether the solvent mixture corresponds to a pure-solvent endpoint (Fraction_Solvent1 = 0 or 1)





Online visualization and search across the dataset are available here: https://mixturesoldb.streamlit.app/
DOI: 10.15468/dl.7j28rs
title: Occurrence Download

description: A dataset containing 33596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is one of (Vaccinium oxycoccos, Andromeda polifolia, Eriophorum angustifolium)"
 ]
}

 The dataset includes 33596 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022006-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xy5ed
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lecanora chlarotera",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 241 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022009-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18660317
title: DETECTION OF DEPRESSION IN SPEECH MANAGEMENT SYSTEM PROJECT.

description: Depression is a common mental disorder and one of the main causes of disability worldwide. Lacking

objective depressive disorder assessment methods is the key reason that many depressive patients can't be

treated properly. Developments in affective sensing technology with a focus on acoustic features will

potentially bring a change due to depressed patient's slow, hesitating, monotonous voice as remarkable

characteristics. Our motivation is to find out a speech feature set to detect, evaluate and even predict

depression. For these goals, we investigate a large sample of 300 subjects (100 depressed patients, 100

healthy controls and 100 high-risk people) through comparative analysis and follow-up study. For

examining the correlation between depression and speech, we extract features as many as possible according

to previous research to create a large voice feature set. Then we employ some feature selection methods to

eliminate irrelevant, redundant and noisy features to form a compact subset. To measure effectiveness of this

new subset, we test it on our dataset with 300 subjects using several common classifiers and 10-fold cross-

validation. Since we are collecting data currently, we have no result to report yet.

In this project we are detecting depression from users post,user can upload post in the form of text file,image

file, or audio file,this project an help peoplewho are in depression by sending motivated messages to

them.Now-a-days peoples are using online post service to interact with each other compare to human to

human interaction.So by analysinguser post this application can detect depression and send motivation

messages to them.Administrator of this application will send motivation messages to all people who are

depression.To detect depression we are using SVM (support vector machine)algorithm which analyse users

post and give result as negative or positive.If users express depression words in post then SVM detect it as a

negative post else positive post.
DOI: 10.5281/zenodo.18660316
title: DETECTION OF DEPRESSION IN SPEECH MANAGEMENT SYSTEM PROJECT.

description: Depression is a common mental disorder and one of the main causes of disability worldwide. Lacking

objective depressive disorder assessment methods is the key reason that many depressive patients can't be

treated properly. Developments in affective sensing technology with a focus on acoustic features will

potentially bring a change due to depressed patient's slow, hesitating, monotonous voice as remarkable

characteristics. Our motivation is to find out a speech feature set to detect, evaluate and even predict

depression. For these goals, we investigate a large sample of 300 subjects (100 depressed patients, 100

healthy controls and 100 high-risk people) through comparative analysis and follow-up study. For

examining the correlation between depression and speech, we extract features as many as possible according

to previous research to create a large voice feature set. Then we employ some feature selection methods to

eliminate irrelevant, redundant and noisy features to form a compact subset. To measure effectiveness of this

new subset, we test it on our dataset with 300 subjects using several common classifiers and 10-fold cross-

validation. Since we are collecting data currently, we have no result to report yet.

In this project we are detecting depression from users post,user can upload post in the form of text file,image

file, or audio file,this project an help peoplewho are in depression by sending motivated messages to

them.Now-a-days peoples are using online post service to interact with each other compare to human to

human interaction.So by analysinguser post this application can detect depression and send motivation

messages to them.Administrator of this application will send motivation messages to all people who are

depression.To detect depression we are using SVM (support vector machine)algorithm which analyse users

post and give result as negative or positive.If users express depression words in post then SVM detect it as a

negative post else positive post.
DOI: 10.15468/dl.uwr87t
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes vittatus"
 ]
}

 The dataset includes 697 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022007-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftnycp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monotropa hypopitys"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021910-260208012135463/datasets/export for details.
DOI: 10.15468/dl.38rfvu
title: Occurrence Download

description: A dataset containing 3828 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eriochloa pseudoacrotricha"
 ]
}

 The dataset includes 3828 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022010-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/rbt8fk
title: 24034 Archeologisch bureauonderzoek Uitbreiding werktuigenberging Rekkense Binnenweg 25 te Eibergen Gemeente Berkelland

description: &lt;p&gt;Op de gemeentelijke archeologische landschappenkaart is het plangebied gekarteerd als een dekzandkop met plaggendek (Figuur 6). Hierdoor heeft het plangebied voor resten ouder dan het erf & steenoven een hoge verwachting. Deze dekzandkop zou op basis van de omschrijving van het AMK-terrein in 1961 geëgaliseerd zijn. Dit zou kunnen verklaren waarom de dekzandkop zoals gekarteerd op Figuur 6 niet meer herkenbaar is aan de hand van de maaiveldhoogtes. De landelijke geomorfologische kaart plaats het plangebied niet op of nabij een dekzandkop en op historische kaarten voor 1961 is aan de hand van hoogtecontouren geen dekzandkop herkenbaar. Het plangebied lijkt eerder in een dekzand of grondmorenevlakte liggen.&lt;/p&gt;&lt;p&gt;
De aanwezigheid van een plaggendek wordt gezien het historisch landgebruik van veelal grasland ook onwaarschijnlijk geacht binnen het plangebied. Voor archeologisch resten ouder dan het erf uit de Nieuwe tijd met mogelijke voorlopers uit de Middeleeuwen geldt daardoor een lage verwachting.&lt;/p&gt;&lt;p&gt;

De beoogde uitbreidingslocatie van de werktuigenberging aan de Rekkense Binnenweg 25 heeft overlap met een gebouw van een steenovencomplex dat vóór 1828 is gebouwd en vóór 1889 is gesloopt. Het is onduidelijk of ondergrondse funderingsresten nog aanwezig zijn.&lt;/p&gt;
DOI: 10.15468/dl.5qdjz9
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buteo buteo buteo",
 "Year 2019-2019"
 ]
}

 The dataset includes 277 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022012-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m63zeb
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lecanora poliophaea",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022014-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbfsbw
title: Occurrence Download

description: A dataset containing 160784 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arealrepresentativ naturovervåkning (ANO)"
 ]
}

 The dataset includes 160784 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021998-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48emyg
title: Occurrence Download

description: A dataset containing 49987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Year 2019-2019"
 ]
}

 The dataset includes 49987 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022015-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/v8dz-7x81
title: "Kalong Microgrid load data"

description: "The increasing deployment of renewable-based microgrids requires reliable short-term load forecasting to support energy management under demand uncertainty. This paper proposes a hybrid forecasting framework for day-ahead load prediction in isolated solar microgrids. The approach integrates Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), Gated Recurrent Units (GRU), and Particle Swarm Optimization (PSO). CEEMDAN decomposes nonlinear load signals into intrinsic mode components to reduce noise and prevent modal aliasing. Subsequently, the GRU network is employed to capture temporal dependencies within each decomposed series. PSO is utilized to optimize GRU hyperparameters, improving overall forecasting accuracy and generalization. The proposed PSO-CEEMDAN-GRU model is validated using hourly load data from the Kalong community microgrid in Niger State, Nigeria. Results show that the proposed PSO-CEEMDAN-GRU model reduces the root mean square error (RMSE) by 93.69% and 93.97% compared with conventional GRU and bidirectional GRU models, respectively. These findings demonstrate significantly improved forecasting performance for standalone renewable microgrids."
DOI: 10.15468/dl.uhkfy7
title: Occurrence Download

description: A dataset containing 1366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caulerpa taxifolia (M.Vahl) C.Agardh)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1366 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086771-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccwj5u
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)"
 ]
}

 The dataset includes 237 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086773-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8mxhn
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Syringa persica L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 230 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086772-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8tnxmw
title: Long-term decline in krill stock and increase in salps within the Southern Ocean (SCAR-MarBIN: Antarctic OBIS)

description: Global information on distribution of Euphausiacea (Crustacea) put together at the Institut fur Seefischerei in Hamburg
DOI: 10.15468/wcnvuq
title: Zoological Museum Amsterdam, University of Amsterdam (NL) – Hymenoptera_Bombidae_Types

description: The larger part of the bumblebee collection of the Zoological Museum of the University of Amsterdam (ZMA) originates from the private collection of Prof. Oskar Vogt, acquired in 1960. The majority of the material originates from the western Palaearctic, including many specimens originating from Turkey. The collection also contains a wealth of material from southern Siberia and China. In addition, the collection comprises material of a number of Central American species, including types. In all, ZMA houses about 300.000 bumblebee specimens and among these approximately 11.750 type specimens representing about 300 different species group taxa (2.800 Bombus species group taxa are known to occur world-wide).
DOI: 10.5281/zenodo.12126999
title: Mechano-circadian simulation results

description: Simulation results associated with the manuscript, "Computational modeling establishes mechanotransduction as a potent modulator of the mammalian circadian clock". See README file for descriptions of individual results files. All are stored as .m files for use in MATLAB. README reproduced below for easy access:



bayesianAnalysis.mat: This should be loaded after initializing UQLab and before running any of the scripts. It contains all the results from MCMC for Bayesian parameter estimation in a single variable, `myBayesianAnalysis`.

pSol_MAP.mat: This can be loaded for running simulations using only the maximum a posteriori parameters, contains a single variable `pSol`.

SobolAnalysis.mat: results of Sobol sensitivity analysis stored in single variable `SobolAnalysis` for use with UQLab.

circStored.mat: Contains variable `circStoreCell` to generate phase diagrams in CircadianAnalysis file.

BranchesStored.mat: Contains variable `BranchesStored` with the coordinates of Hopf bifurcation curves in the MRTF-YAP/TAZ phase plane. Generated by ddeBifCircadian.m, for use with CircadianAnalysis.m.

nMechCircStored.mat and nMechBranches.mat: Alterative versions of the above, corresponding to tests of different coupling Hill coefficients [1,1.5,2,3,4.5]

StiffnessTests.mat: results from population level simulations for Figure 4, with substrate stiffnesses [0.1, 0.3, 1, 3, 10, 30, 100, 300, 1e7]. Data stored in single variable `popSeq`, generated by MechanoCircadian_main.m

WTTests.mat: tests from Abenza et al for Figure 5, population level data in single variable `popSeq`, see MechanoCircadian_main.m for more details

StiffnessTestsYAPMutant.mat: same as stiffnessTests above, but for YAP mutant 5SA-YAP (see settings in MechanoCircadian_main.m)

StiffnessTestsLaminMutant.mat: same as stiffnessTests above, but for YAP mutant 5SA-YAP (see settings in MechanoCircadian_main.m)

AltMutantTests.mat: tests for Figure S5, all at substrate stiffness = 30 kPa. 6 populations, corresponding to 0.5x YAP mutant, 2x YAP mutant, 4x YAP mutant, 1.5x NPC opening (Lamin mutant), 3x NPC opening (Lamin mutant), 5x NPC opening (Lamin mutant) - all stored in `popSeq` as above