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

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tadarida latouchei Thomas, 1920"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345937-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awqn3h
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zaglossus bartoni (Thomas, 1907)"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0352447-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-36568
title: Jane Williams, China, 1919-1922

description: [description english/roman)] Photos; missionary application forms and references; correspondence.
DOI: 10.15468/dl.62mrjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argyresthia affinis Braun, 1940",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0392992-210914110416597/datasets/export for details.
DOI: 10.15468/dl.k8pxrg
title: Occurrence Download

description: A dataset containing 30591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catananche caerulea L.",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 30591 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071480-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/5egtly
title: PAN-00174124 - smooth ware jug type Hofh. 51

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174124&lt;/p&gt;
description: Modified: 2025-10-21T15:37:09+02:00
DOI: 10.15468/dl.7uuhbz
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelogenia arenosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 456 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038893-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8jxfq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteropus howensis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038894-251120083545085/datasets/export for details.
DOI: 10.15468/dl.zfassg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February, March, April, June, May, August, July, September, October, November, December)",
 "TaxonKey is Haliaeetus vocifer",
 {
 "or" : [
 "Year 1000-1875",
 "Year is less than or equal to 1000"
 ]
 }
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038896-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17853876
title: Raw data and statistical output files supporting the manuscript: "PAC1 receptor agonist maxadilan alleviates corneal inflammation in a murine model of LPS-induced ocular inflammation"

description: This dataset contains all raw data, statistical output files, and project files used to generate Figures 3–6 for the manuscript titled “PAC1 receptor agonist maxadilan alleviates corneal inflammation in a murine model of LPS-induced ocular inflammation.”

The repository includes raw numerical measurements for all four experimental groups (Control+PBS, Control+Maxa, LPS+PBS, LPS+Maxa)(TXT,xls), statistical analysis files (PDF, HTML, Origin flies) and a summary file in xls which contain the percent changes informations..

A detailed description of each file, including its purpose and its relation to the corresponding figure, is provided in the attached README document. All uploaded files represent the minimal dataset required to fully reproduce the findings reported in the manuscript.
DOI: 10.5281/zenodo.17853875
title: Raw data and statistical output files supporting the manuscript: "PAC1 receptor agonist maxadilan alleviates corneal inflammation in a murine model of LPS-induced ocular inflammation"

description: This dataset contains all raw data, statistical output files, and project files used to generate Figures 3–6 for the manuscript titled “PAC1 receptor agonist maxadilan alleviates corneal inflammation in a murine model of LPS-induced ocular inflammation.”

The repository includes raw numerical measurements for all four experimental groups (Control+PBS, Control+Maxa, LPS+PBS, LPS+Maxa)(TXT,xls), statistical analysis files (PDF, HTML, Origin flies) and a summary file in xls which contain the percent changes informations..

A detailed description of each file, including its purpose and its relation to the corresponding figure, is provided in the attached README document. All uploaded files represent the minimal dataset required to fully reproduce the findings reported in the manuscript.
DOI: 10.15468/dl.ccuaz3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((11.528409503480695 51.79782016121191, 11.528402083669754 51.80046246734201, 11.527563321064148 51.80305309797463, 11.525925318434057 51.80549248015845, 11.52355092367708 51.80768683952426, 11.520531329794185 51.809551808589966, 11.51698257858227 51.81101567496708, 11.513041101151293 51.812022143726786, 11.508858466646002 51.81253250677867, 11.504595542239409 51.81252713498075, 11.500416291156471 51.812006234940945, 11.496481450107781 51.81098984105084, 11.492942332393913 51.80951704306215, 11.489934997854567 51.80764447927262, 11.48757501601975 51.80544415393154, 11.485953024950645 51.80300066365777, 11.485131256419495 51.80040794044779, 11.48514115968618 51.79776563735056, 11.485982212851493 51.795175296400735, 11.487621964428364 51.79273644644808, 11.48999730025791 51.79054278083451, 11.493016884069313 51.788678561424575, 11.496564675598895 51.78721538647846, 11.500504389839561 51.786209445660916, 11.504684726076313 51.785699366687915, 11.50894516702674 51.785704735452974, 11.513122127549686 51.78622534580996, 11.51705521965159 51.78724120746884, 11.5205933962932 51.78871331170527, 11.52360074090445 51.790585125839044, 11.525961682421888 51.79278475974914, 11.527585436681301 51.79522772208081, 11.528409503480695 51.79782016121191))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038895-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5uwbn
title: Occurrence Download

description: A dataset containing 2460860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Lithuania, Latvia, Estonia, Belarus, Poland, Ukraine)",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 2460860 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038877-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tv53qp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((11.53470431255355 51.79353502047024, 11.534697254698415 51.79617733343505, 11.533858924408344 51.798768014484175, 11.53222140785493 51.801207488736004, 11.529847534257646 51.80340197828917, 11.526828476577402 51.805267110662555, 11.523280255981064 51.80673116719307, 11.51933928315503 51.80773784564281, 11.51515710781678 51.808248429858864, 11.510894579460347 51.80824328219383, 11.50671564606445 51.80772260063504, 11.502781032116157 51.80670641117082, 11.499242042187188 51.80523379569095, 11.496234731218804 51.803361385475476, 11.493874667859302 51.80116117887068, 11.492252493335114 51.79871776793408, 11.491430446504122 51.79612508161751, 11.491439987354532 51.793482771558295, 11.49228060794077 51.79089238006597, 11.49391987341449 51.788453437939744, 11.496294688298944 51.786259642069666, 11.499313736330718 51.78439525933, 11.502860997811762 51.78293189425877, 11.506800208072203 51.78192574382555, 11.510980085729205 51.78141544379748, 11.515240131089953 51.78142058855693, 11.51941677418939 51.78194098055888, 11.523349639217379 51.78295663789742, 11.526887687859478 51.78442855969416, 11.529895008476746 51.786300220275955, 11.532256030951839 51.78849973542148, 11.533879968041616 51.79094261834162, 11.53470431255355 51.79353502047024))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038897-251120083545085/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.30080950
title: Data in Spanish

description: Data from meteorological station and test cell measurements, in summer and winter.
DOI: 10.6084/m9.figshare.30080950.v1
title: Data in Spanish

description: Data from meteorological station and test cell measurements, in summer and winter.
DOI: 10.6084/m9.figshare.30080950.v2
title: Data in Spanish

description: Data from meteorological station and test cell measurements, in summer and winter.
DOI: 10.15468/dl.enqnz5
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((11.691118598684698 51.82487378605612, 11.691120519033696 51.82751605475935, 11.690290428027156 51.830107778353494, 11.688660094799213 51.83254934205485, 11.686292071960242 51.83474688778608, 11.683277307005278 51.836615925678686, 11.679731655538186 51.838084586973046, 11.675791429038606 51.83909639239493, 11.67160814825863 51.83961242863082, 11.667342705124808 51.83961284834535, 11.663159159823117 51.83909763539473, 11.659218414480996 51.83808660544934, 11.655672009854895 51.83661864200128, 11.652656286453517 51.83475019749592, 11.650287136805899 51.83255311788937, 11.648655551795194 51.83011187514824, 11.647824132202476 51.82752031503588, 11.647824698254034 51.82487804608005, 11.64865708670632 51.82228660919036, 11.650289178659985 51.81984557550236, 11.65265815375459 51.81764872240369, 11.655672919522768 51.81578043431583, 11.659217620236738 51.81431246584741, 11.663156089160355 51.81330119079617, 11.667337073116528 51.81278544173153, 11.671600029849378 51.812785022269615, 11.675781277705022 51.813299948515755, 11.679720264321428 51.81431044844771, 11.683265716692178 51.815777719263174, 11.68628143928077 51.817645413963774, 11.688651539681803 51.81984180074444, 11.690284882268477 51.82228251311498, 11.691118598684698 51.82487378605612))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 52 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038898-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/2igicd
title: PAN-00120855 - coin/coin-related, stad, braemse

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00120855&lt;/p&gt;
description: Modified: 2025-10-20T16:49:53+02:00
DOI: 10.15468/dl.85u4bw
title: Occurrence Download

description: A dataset containing 8584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sigalion mathildae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8584 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038899-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17860163
title: The Universal Numerical Protocol (PNU) A Post-Fiat Crypto and Quantum Framework for Semantic Ethical Value
DOI: 10.5281/zenodo.17860164
title: The Universal Numerical Protocol (PNU) A Post-Fiat Crypto and Quantum Framework for Semantic Ethical Value
DOI: 10.17026/ar/mmahtw
title: PAN-00180901 - military button, Dutch post-Napoleonic: Militia

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180901&lt;/p&gt;
description: Modified: 2025-10-13T12:53:15+02:00
DOI: 10.5067/wfc/calipso/cal_wfc_l1_1km-standard-v4-00_l1b-004.00
title: CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Standard V4-00
DOI: 10.6084/m9.figshare.30826340
title: <b>Dataset for AI dependence among college students</b>

description: The rapid adoption of generative AI in higher education has outpaced institutional policy, creating uncertainty regarding AI cheating and appropriate AI use. This study investigates the drivers of AI dependence among college students and its psychological consequences: "noAIphobia" (anxiety when AI is unavailable) and AI use stigma. Drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, we surveyed 393 U.S. college students and analyzed the data using partial least squares structural equation modeling (PLS-SEM). Results indicate that competitive conformity—the fear of falling behind peers—is a primary driver of AI dependence, alongside efficiency and quality expectancies. AI dependence creates two opposing psychological routes affecting continuance intention: It increases noAIphobia, which drives continued use to avoid deprivation anxiety, while also increasing AI use stigma, which discourages AI use due to fear of negative social judgment. Furthermore, academic integrity concerns amplify the relationship between dependence and AI use stigma. These findings highlight the tensions students face when using AI, suggesting that higher education institutions must establish clear policies to mitigate psychological distress and promote healthy AI engagement.
DOI: 10.6084/m9.figshare.30826340.v2
title: <b>Dataset for AI dependence among college students: Competitive conformity, noAIphobia, and AI use stigma</b>

description: The rapid adoption of generative AI in higher education has outpaced institutional policy, creating uncertainty regarding AI cheating and appropriate AI use. This study investigates the drivers of AI dependence among college students and its psychological consequences: "noAIphobia" (anxiety when AI is unavailable) and AI use stigma. Drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, we surveyed 393 U.S. college students and analyzed the data using partial least squares structural equation modeling (PLS-SEM). Results indicate that competitive conformity—the fear of falling behind peers—is a primary driver of AI dependence, alongside efficiency and quality expectancies. AI dependence creates two opposing psychological routes affecting continuance intention: It increases noAIphobia, which drives continued use to avoid deprivation anxiety, while also increasing AI use stigma, which discourages AI use due to fear of negative social judgment. Furthermore, academic integrity concerns amplify the relationship between dependence and AI use stigma. These findings highlight the tensions students face when using AI, suggesting that higher education institutions must establish clear policies to mitigate psychological distress and promote healthy AI engagement.
DOI: 10.6084/m9.figshare.30826340.v3
title: <b>Dataset for AI dependence among college students</b>

description: The rapid adoption of generative AI in higher education has outpaced institutional policy, creating uncertainty regarding AI cheating and appropriate AI use. This study investigates the drivers of AI dependence among college students and its psychological consequences: "noAIphobia" (anxiety when AI is unavailable) and AI use stigma. Drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, we surveyed 393 U.S. college students and analyzed the data using partial least squares structural equation modeling (PLS-SEM). Results indicate that competitive conformity—the fear of falling behind peers—is a primary driver of AI dependence, alongside efficiency and quality expectancies. AI dependence creates two opposing psychological routes affecting continuance intention: It increases noAIphobia, which drives continued use to avoid deprivation anxiety, while also increasing AI use stigma, which discourages AI use due to fear of negative social judgment. Furthermore, academic integrity concerns amplify the relationship between dependence and AI use stigma. These findings highlight the tensions students face when using AI, suggesting that higher education institutions must establish clear policies to mitigate psychological distress and promote healthy AI engagement.
DOI: 10.5281/zenodo.17859897
title: ReESH_US-SP1 Slashpine-Austin Cary- 65yrs nat regen

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-SP1 Slashpine-Austin Cary- 65yrs nat regen

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.17859898
title: ReESH_US-SP1 Slashpine-Austin Cary- 65yrs nat regen

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-SP1 Slashpine-Austin Cary- 65yrs nat regen

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.13894367
title: ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER

description: ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER
DOI: 10.5281/zenodo.13894368
title: ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER

description: ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER
DOI: 10.15468/dl.shkn5f
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Viburnum bitchiuense Makino"
 ]
}

 The dataset includes 74 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044072-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ut5vqf
title: Occurrence Download

description: A dataset containing 33065027 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 33065027 records from 4861 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044069-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.