cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v4ume8
title: Occurrence Download

description: A dataset containing 17533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Viet Nam, Thailand, Philippines, Cambodia, Lao People’s Democratic Republic, Myanmar, Malaysia, Indonesia, Singapore, Brunei Darussalam, Timor-Leste)",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "TaxonKey is Halcyon pileata",
 "Year 2000-2025"
 ]
}

 The dataset includes 17533 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3xzam
title: Occurrence Download

description: A dataset containing 533815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptula minor",
 "Year 2000-2025"
 ]
}

 The dataset includes 533815 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006914-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6pc4a
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ba638ca7-85a0-4ac9-9642-d6f281542ae6",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006957-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17365162
title: Semisynthetic indole alkaloids restrain the invasiveness of glioblastoma cell lines and inhibit Aquaporin-1 water channels
DOI: 10.5281/zenodo.17365161
title: Semisynthetic indole alkaloids restrain the invasiveness of glioblastoma cell lines and inhibit Aquaporin-1 water channels
DOI: 10.15468/dl.ecegzh
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.07572 17.53969,-94.00210 17.53969,-94.00210 21.16758,-103.07572 21.16758,-103.07572 17.53969))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Romerolagus diazi"
 ]
}

 The dataset includes 311 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006958-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z6k8w
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclopes ida"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006959-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17704950
title: Shlipak-et-al-2025-CONUS-RWC-Study-Data

description: PM25_TOT_d02_WHbase_2016_1_EPA_CMAQ_Combine_2020_RWC.csv – Validation PM dataset with hourly AQS station data and WRF-CMAQ simulated PM2.5

output_CONUS4K_d02_2020_RWC_4km_sf_rrtmg_10_10_1_v3852.zip – Validation meteorological dataset with hourly NCDC LCD data and WRF-CMAQ simulated meteorology

2020_wrf_avg_new.nc – January average 4km gridded simulated WRF meteorological outputs

avg_201601_2020_RWC.nc – January average 4km gridded simulated PM2.5 including RWC

no_rwc_avg_201601.nc – January average 4km gridded simulated PM2.5 with no RWC

2020_new_surrogates_avg.nc – 4km gridded total January simulated emissions from RWC with 2020 NEI and updated surrogates (used in paper)

2020_rwc_census_tract_pm25_emissions.shp – Total January simulated emissions from RWC with 2020 NEI and updated surrogates (used in paper) at census tract level

2020_rwc_census_tract_pm25.shp – Census tract-level RWC-attributable PM2.5 dataset

2020_total_census_tract_pm25.shp – Census tract-level total PM2.5 dataset

pm_mortality_data_df_2020_updated_total_not_RWC.pkl – Estimated total PM2.5-attributable winter mortalities using the Chen & Hoek RR

pm_mortality_data_df_2020_updated.pkl – Estimated total RWC PM2.5-attributable winter mortalities using the Chen & Hoek RR

pm_mortality_data_df_2020_di.pkl – Estimated total RWC PM2.5-attributable winter mortalities using the Di et al. (2017) race/ethnicity-specific RR
DOI: 10.5281/zenodo.17704951
title: Shlipak-et-al-2025-CONUS-RWC-Study-Data

description: PM25_TOT_d02_WHbase_2016_1_EPA_CMAQ_Combine_2020_RWC.csv – Validation PM dataset with hourly AQS station data and WRF-CMAQ simulated PM2.5

output_CONUS4K_d02_2020_RWC_4km_sf_rrtmg_10_10_1_v3852.zip – Validation meteorological dataset with hourly NCDC LCD data and WRF-CMAQ simulated meteorology

2020_wrf_avg_new.nc – January average 4km gridded simulated WRF meteorological outputs

avg_201601_2020_RWC.nc – January average 4km gridded simulated PM2.5 including RWC

no_rwc_avg_201601.nc – January average 4km gridded simulated PM2.5 with no RWC

2020_new_surrogates_avg.nc – 4km gridded total January simulated emissions from RWC with 2020 NEI and updated surrogates (used in paper)

2020_rwc_census_tract_pm25_emissions.shp – Total January simulated emissions from RWC with 2020 NEI and updated surrogates (used in paper) at census tract level

2020_rwc_census_tract_pm25.shp – Census tract-level RWC-attributable PM2.5 dataset

2020_total_census_tract_pm25.shp – Census tract-level total PM2.5 dataset

pm_mortality_data_df_2020_updated_total_not_RWC.pkl – Estimated total PM2.5-attributable winter mortalities using the Chen & Hoek RR

pm_mortality_data_df_2020_updated.pkl – Estimated total RWC PM2.5-attributable winter mortalities using the Chen & Hoek RR

pm_mortality_data_df_2020_di.pkl – Estimated total RWC PM2.5-attributable winter mortalities using the Di et al. (2017) race/ethnicity-specific RR
DOI: 10.57841/casdc.0005993
title: 热压缩试验数据
DOI: 10.15468/dl.etu8wh
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.1012 4.66948,-75.07383 4.66938,-75.07516 4.70841,-75.0896 4.70806,-75.10231 4.70918,-75.1012 4.66948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 253 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006963-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17706399
title: Multi-omics insights into the role of microencapsulated sodium butyrate on production performance in aged quails
DOI: 10.5281/zenodo.17706398
title: Multi-omics insights into the role of microencapsulated sodium butyrate on production performance in aged quails
DOI: 10.13140/rg.2.2.24487.00164
title: RRR-CHALLENGE EPS012 - Data for Constructing Probability Distribution and Density Curves (GCN) GCN STEP 02 HISTOGRAM
DOI: 10.15468/dl.umymbw
title: Occurrence Download

description: A dataset listing the 110 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae"
 ]
}

 The dataset's 110 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17701434
title: Measurements of Liquid FeS Density under Martian Core Conditions: Constraint on Core Density Profile

description: The files contain the datasets of Pressure-Temperature-Density relations of liquid Fe-S, Martian core profile for hot-core model, and the profile for cold-core model.
DOI: 10.5281/zenodo.17701435
title: Measurements of Liquid FeS Density under Martian Core Conditions: Constraint on Core Density Profile

description: The files contain the datasets of Pressure-Temperature-Density relations of liquid Fe-S, Martian core profile for hot-core model, and the profile for cold-core model.
DOI: 10.6084/m9.figshare.30702818
title: Scripts and datasets to generate or analyze data

description: Chronic venous thrombosis is difficult to treat with current approaches, in part due to its extensive collagen network. Histotripsy is a focused ultrasound therapy that uses bubbles to disrupt tissue, and has several features that make its use for chronic thrombosis attractive. This study used a porcine model to test the hypothesis that portions of chronic thrombosis undergoing active remodeling can be disrupted by histotripsy. Vessels occluded for 30 days were found to be composed primarily of disorganized collagen, and cells that promoted disorganized collagen structures. Histotripsy pressure pulses were able to generate bubbles in all cases, resulting in a 59% mean reduction in the thrombus area. Further, disorganized collagen and cells within the samples were damaged to a greater extent than organized collagen. These data indicate there are chronic venous thrombosis components susceptible to mechanical perturbation by histotripsy despite the extensive collagen.<br>These files were used for analysis of data.
DOI: 10.6084/m9.figshare.30702818.v1
title: Scripts and datasets to generate or analyze data

description: Chronic venous thrombosis is difficult to treat with current approaches, in part due to its extensive collagen network. Histotripsy is a focused ultrasound therapy that uses bubbles to disrupt tissue, and has several features that make its use for chronic thrombosis attractive. This study used a porcine model to test the hypothesis that portions of chronic thrombosis undergoing active remodeling can be disrupted by histotripsy. Vessels occluded for 30 days were found to be composed primarily of disorganized collagen, and cells that promoted disorganized collagen structures. Histotripsy pressure pulses were able to generate bubbles in all cases, resulting in a 59% mean reduction in the thrombus area. Further, disorganized collagen and cells within the samples were damaged to a greater extent than organized collagen. These data indicate there are chronic venous thrombosis components susceptible to mechanical perturbation by histotripsy despite the extensive collagen.<br>These files were used for analysis of data.
DOI: 10.5281/zenodo.17706457
title: Generative AI in Higher Education:  Hope or Hurdle for Universities in Indonesia?

description: This study addresses that gap by exploring how important psychological and contextual factors such as workload, time pressure, reward sensitivity, and quality sensitivity influence the uptake of ChatGPT in Indonesian higher education. The research links these factors to procrastination, memory loss, and academic performance. Analysis of the data Using structural equation modeling (SEM) to analyze quantitative data from 237 respondents, we uncovered distinct patterns. The results of the study show differences between the two groups, namely students and lecturers. The primary reasons why students use ChatGPT are high workloads and a strong focus on quality, while time constraints and reward sensitivity have less impact.  For lecturers, the pattern reverses, time pressure and reward sensitivity are more influential, whereas workload and quality sensitivity are not significant. Both students and lecturers who use ChatGPT show pronounced associations with procrastination and memory loss. When it comes to academic achievement, the impact diverges; lecturers experience a noticeable decline in performance, while for students, the effect is not significant. These findings highlight that generative AI goes hand in hand with two sides. While it can increase efficiency, it also poses a risk to cognitive engagement. This study calls on universities to establish clear policies and develop educational programs that promote ethical AI use, aiming to balance technological ease with deep, critical learning. All of this supports Sustainable Development Goal for Quality, by emphasizing careful AI integration as a means to assure fair and excellent learning, with developing countries' educational environments currently facing rapid changes.








Tambahkan research gap secara eksplisit di awal abstrak agar langsung terlihat urgensi dan kebaruan riset.







Sertakan indikator statistik penting (misalnya significance level, p-value, atau R²) untuk memperkuat kesan empiris dan menghindari kesan deskriptif semata.

 

Aku gatau ini make sense ga bu..
DOI: 10.5281/zenodo.17706456
title: Generative AI in Higher Education:  Hope or Hurdle for Universities in Indonesia?

description: This study addresses that gap by exploring how important psychological and contextual factors such as workload, time pressure, reward sensitivity, and quality sensitivity influence the uptake of ChatGPT in Indonesian higher education. The research links these factors to procrastination, memory loss, and academic performance. Analysis of the data Using structural equation modeling (SEM) to analyze quantitative data from 237 respondents, we uncovered distinct patterns. The results of the study show differences between the two groups, namely students and lecturers. The primary reasons why students use ChatGPT are high workloads and a strong focus on quality, while time constraints and reward sensitivity have less impact.  For lecturers, the pattern reverses, time pressure and reward sensitivity are more influential, whereas workload and quality sensitivity are not significant. Both students and lecturers who use ChatGPT show pronounced associations with procrastination and memory loss. When it comes to academic achievement, the impact diverges; lecturers experience a noticeable decline in performance, while for students, the effect is not significant. These findings highlight that generative AI goes hand in hand with two sides. While it can increase efficiency, it also poses a risk to cognitive engagement. This study calls on universities to establish clear policies and develop educational programs that promote ethical AI use, aiming to balance technological ease with deep, critical learning. All of this supports Sustainable Development Goal for Quality, by emphasizing careful AI integration as a means to assure fair and excellent learning, with developing countries' educational environments currently facing rapid changes.








Tambahkan research gap secara eksplisit di awal abstrak agar langsung terlihat urgensi dan kebaruan riset.







Sertakan indikator statistik penting (misalnya significance level, p-value, atau R²) untuk memperkuat kesan empiris dan menghindari kesan deskriptif semata.

 

Aku gatau ini make sense ga bu..
DOI: 10.15468/dl.f3rck6
title: Occurrence Download

description: A dataset containing 149719876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luscinia luscinia, Emberiza hortulana, Lanius minor, Streptopelia turtur, Botaurus stellaris, Jynx torquilla, Podiceps cristatus, Circaetus gallicus, Merops apiaster, Luscinia megarhynchos, Tachymarptis melba, Saxicola rubetra, Lymnocryptes minimus, Accipiter nisus, Platalea leucorodia, Anthus cervinus, Glareola pratincola, Tringa erythropus, Calidris temminckii, Apus pallidus, Spatula querquedula, Anas acuta, Charadrius alexandrinus, Oenanthe oenanthe, Cecropis daurica, Oenanthe pleschanka, Charadrius dubius, Lanius excubitor, Recurvirostra avosetta, Spatula clypeata, Riparia riparia, Accipiter brevipes, Gallinago gallinago, Egretta gularis, Ciconia nigra, Larus fuscus, Aythya fuligula, Monticola saxatilis, Gelochelidon nilotica, Circus aeruginosus, Anas crecca, Ficedula semitorquata, Coturnix coturnix, Mareca penelope, Sylvia nisoria, Buteo buteo, Tringa totanus, Clanga pomarina, Acrocephalus palustris, Gyps fulvus, Sylvia curruca, Oenanthe isabellina, Ficedula albicollis, Circus pygargus, Pelecanus onocrotalus, Anthropoides virgo, Charadrius asiaticus, Caprimulgus europaeus, Hieraaetus pennatus, Iduna pallida, Clanga clanga, Crex crex, Aquila nipalensis, Calidris pugnax, Lanius nubicus, Motacilla cinerea, Tringa ochropus, Motacilla alba, Hippolais polyglotta, Aythya ferina, Neophron percnopterus, Apus apus, Otus scops, Cuculus canorus, Larus ridibundus, Lanius senator, Xenus cinereus, Buteo rufinus, Ciconia ciconia, Iduna opaca, Chlidonias hybrida, Ficedula hypoleuca, Ptyonoprogne rupestris, Tringa glareola, Muscicapa striata, Phylloscopus sibillatrix, Hydroprogne caspia, Oenanthe cypriaca, Tringa nebularia, Phoenicurus phoenicurus, Pandion haliaetus, Tringa stagnatilis, Actitis hypoleucos, Glareola nordmanni, Limosa limosa, Monticola solitarius, Gallinago media, Chlidonias leucopterus, Porzana porzana, Aquila heliaca, Hippolais olivetorum, Mareca strepera, Circus macrourus, Hirundo rustica, Acrocephalus scirpaceus, Coracias garrulus, Sylvia atricapilla, Anthus trivialis, Tadorna ferruginea, Falco vespertinus, Pernis apivorus, Phylloscopus bonelli, Locustella fluviatilis, Calidris falcinellus, Hippolais icterina, Falco naumanni, Sylvia communis, Locustella luscinioides, Numenius phaeopus, Galago moholi, Galago senegalensis, Papio ursinus, Papio anubis, Otolemur crassicaudatus, Erythrocebus patas, Chlorocebus tantalus, Chlorocebus cynosuros, Chlorocebus aethiops, Chlorocebus pygerythrus, Papio kindae, Cercopithecus mitis, Galagoides thomasi, Galagoides demidoff, Colobus guereza, Papio hamadryas)",
 "Year is greater than or equal to 2004"
 ]
}

 The dataset includes 149719876 records from 10475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006952-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxtt98
title: Occurrence Download

description: A dataset listing the 4064451 species recorded in GBIF matching the query:
{ }

 The dataset's 4064451 records were derived from 72670 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001212-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ue7kts
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015902-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqd7yc
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus albilabris (Günther, 1859))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015905-250525065834625/datasets/export for details.
DOI: 10.17026/ar/fr1xql
title: Bureauonderzoek Ten Boer en Woltersum
title: Antea Group Archeologie 2025/146

description: &lt;p&gt;In juli 2025 is in opdracht van Allinq Group B.V. door Antea Group een archeologisch bureauonderzoek uitgevoerd voor Ten Boer - Woltersum (gemeente Groningen). Aanleiding voor het onderzoek is het aanleggen van glasvezelkabels. De grondwerkzaamheden bestaan uit het realiseren van enkele kilometers kabeltracé met een maximale breedte van 0,3 m en een maximale diepte van 0,6 m beneden het maaiveld. &lt;/p&gt;&lt;p&gt;

Het tracé loopt door twee Rijksmonumenten: de wierde van Ten Boer met restanten van een klooster en de wierde van Woltersum, beide in de (late) ijzertijd al bewoond. Op de Cultuurhistorische Waardenkaart van Groningen is verder te zien dat bijna het gehele tracé valt binnen een archeologische zone of perceel. Deze komen overeen met Waarde Archeologie 1 en Waarde Archeologie 2 in de bestemmingsplannen geldend voor het plangebied. In alle gevallen worden zowel oppervlakte- als dieptegrenzen overschreden, behalve voor de dieptegrens voor Waarde Archeologie 2 in Ten Boer. &lt;/p&gt;&lt;p&gt;

Het plangebied en omgeving is archeologisch rijk. Er zijn vele onderzoeken uitgevoerd in het plangebied en veel archeologische waarnemingen gedaan, de datering van de sporen en vondsten reikt van de (late) ijzertijd tot de nieuwe tijd. Gezien de ontgravingsdiepte is de kans het grootst op sporen uit de late middeleeuwen tot en met de nieuwe tijd. Deze sporen kunnen bestaan uit vegetatiehorizonten, wierdelagen, sporen van het kloostercomplex, sporen van het borgterrein Ackingaheerd, sporen van de dijk Wolddijk, infrastructuur en andere bewoningssporen, zoals greppels, kuilen, perceelgrenzen en muurfundamenten. &lt;/p&gt;&lt;p&gt;

Ondanks de hoge archeologische verwachting ligt een groot deel van het tracé in reeds bestaande kabelbedden, ontstaan door de eerdere aanleg van nutsvoorzieningen. Daarom adviseren wij het hele gebied vrij te geven voor archeologie. &lt;/p&gt;&lt;p&gt;

Het bevoegd gezag, zijnde de gemeente Groningen, is het oneens met de door Antea Group geadviseerde vrijgave. De gemeente wil graag dat er een archeologische begeleiding wordt uitgevoerd in het plangebied conform de BRL 4000, protocol 4003. Hierbij gaat het om een intensieve archeologische begeleiding ter plaatse van archeologische percelen en AMK-terreinen, en een extensieve begeleiding in de rest van het plangebied. Hierbij is er dan de mogelijkheid om af te schalen.&lt;/p&gt;
DOI: 10.5517/ccdc.csd.cc2qghl9
title: CSD 2516381: Experimental Crystal Structure Determination

description: Related Article: Ryo Yamane, Hiroshi Sakuma, Kenji Tamura
|2025|Phys.Chem.Chem.Phys.(PCCP)|||doi:10.1039/D5CP02981C
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.