cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kbtda4
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 5341511 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5341511 OR CAST(occurrence.kingdomkey AS INTEGER) = 5341511 OR CAST(occurrence.phylumkey AS INTEGER) = 5341511 OR CAST(occurrence.classkey AS INTEGER) = 5341511 OR CAST(occurrence.orderkey AS INTEGER) = 5341511 OR CAST(occurrence.familykey AS INTEGER) = 5341511 OR CAST(occurrence.genuskey AS INTEGER) = 5341511 OR CAST(occurrence.specieskey AS INTEGER) = 5341511)
 AND (occurrence."year" &gt;= 2025 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007852-251025141854904/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.30488207
title: <b>Large-scale plasma proteomics reveal biomarkers and</b><b> </b><b>biological</b><b> </b><b>insights into type 2 diabetes risk associated with frailty</b>

description: <b>Large-scale plasma proteomics reveal biomarkers and </b><b>biological </b><b>insights into type 2 diabetes risk associated with frailty</b>
DOI: 10.6084/m9.figshare.30488207.v1
title: <b>Supplementary table</b>

description: <b>Large-scale plasma proteomics reveal biomarkers and </b><b>biological </b><b>insights into type 2 diabetes risk associated with frailty</b>
DOI: 10.6084/m9.figshare.30488207.v2
title: <b>Large-scale plasma proteomics reveal biomarkers and</b><b> </b><b>biological</b><b> </b><b>insights into type 2 diabetes risk associated with frailty</b>

description: <b>Large-scale plasma proteomics reveal biomarkers and </b><b>biological </b><b>insights into type 2 diabetes risk associated with frailty</b>
DOI: 10.5281/zenodo.17482002
title: A Multi-image Hierarchical Scrambling Encryption Algorithm Based on 2D McCormick map
DOI: 10.5281/zenodo.17482001
title: A Multi-image Hierarchical Scrambling Encryption Algorithm Based on 2D McCormick map
DOI: 10.15468/63hxwq
title: Observations opportunistes de flore vasculaire, bryophytes, champignons et lichens-Observations opportunistes Flore, Fonge et Bryophytes des salariés et bénévoles du CBNPMP

description: Observations opportunistes Flore, Fonge et Bryophytes des salariés et bénévoles du CBNPMP
DOI: 10.15468/zyxxue
title: Kent Wildlife Trust Shoresearch Intertidal Survey 2004 onwards

description: This dataset consists of intertidal habitat and species records made by Kent Wildlife Trust and its trained Shoresearch volunteer surveyors. The data collection follows Kent Wildlife Trust's Shoresearch survey methods which range from walkover biodiversity surveys to transect and quadrat surveys, with species abundance normally recorded using the semi-quantitative SACFOR scale. Data has been entered and verified by Kent Wildlife Trust.
DOI: 10.6084/m9.figshare.30467558.v2
title: Gamblification, Youth and Digital Games: A Dataset on Gaming Practices and Emotional Impacts Among Spanish Young People in Spain

description: Cross-sectional survey of individuals aged 16–25 residing in Spain (n = 1,000), fielded in June 2025. The dataset captures demographics, gaming practices, exposure to gamblified mechanics (e.g., loot boxes, randomized rewards, time-limited offers), spending bands, emotional responses, and perceptions among non-players.The survey questionnaire (available as related material) consists of three sections: 1) sociodemographic data; 2) gamers (n=927); and 3) non-gamers (n=73). To distinguish between gamers and non-gamers, a filter question was placed at the end of section 1 (“Do you regularly play video games, mobile games, or digital games?”).The first section collects information on: sex/gender, municipality of residence, province/community of residence according to Nielsen area, size of municipality of residence, level of education completed, and current employment status.Block two collects information on estimated weekly hours of play, the device usually used, estimated monthly money spent on video games, and the two most played games. It also includes five-point Likert scale questions (disagree/agree) on issues related to random mechanisms, payments, or gaming habits.The third section repeats the same pattern of five-point Likert scale questions (disagree/agree) but from the perspective of non-video game players.
DOI: 10.15468/dl.8yq3kd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Orobanche cernua hansii"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007872-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26165/juelich-data/pksmco
title: Data used in: Distributed Current Injection into a One-dimensional Ballistic Edge Channel

description: This repository contains the Python code for numerically solving the potential profile over a half-plane with distributed current injection into a 1D ballistic edge channel (see README file), and the output files that contain the solutions presented in the publication “Distributed Current Injection into a One-dimensional Ballistic Edge Channel”
DOI: 10.34740/kaggle/dsv/13553812
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.4121/5a7472f0-8a67-4ec0-84c9-9d032990d654
title: Data underlying the publication: Plant Factories Are Heating Up: Hunting for the Best Combination of Light Intensity, Air Temperature and Root-Zone Temperature in Lettuce Production

description: This study analyzed interactions among photon flux density (PPFD), air temperature, root-zone temperature for growth of lettuce with non-limiting water, nutrient, and CO2 concentration. We measured growth parameters in 48 combinations of a PPFD of 200, 400, and 750 μmol m–2 s–1 (16 h daylength), with air and root-zone temperatures of 20, 24, 28, and 32°C. Lettuce (Lactuca sativa cv. Batavia Othilie) was grown for four cycles (29 days after transplanting). Eight combinations with low root-zone (20 and 24°C), high air temperature (28 and 32°C) and high PPFD (400 and 750 μmol m–2 s–1) resulted in an excessive incidence of tip-burn and were not included in further analysis. Dry mass increased with increasing photon flux to a PPFD of 750 μmol m–2 s–1. <br>The effect of air temperature on fresh yield was linked to all leaf expansion processes. SLA, shoot mass allocation and water content of leaves showed the same trend for air temperature with a maximum around 24°C. The effect of root temperature was less prominent with an optimum around 28°C in nearly all conditions. With this combination of temperatures, market size (fresh weight shoot = 250 g) was achieved in 26, 20, and 18 days, at 200, 400, and 750 μmol m–2 s–1, respectively, with a corresponding shoot dry matter content of 2.6, 3.8, and 4.2%. In conclusion, three factors determine the “optimal” PPFD: capital and operational costs of light intensity vs the value of reducing cropping time, and the market value of higher dry matter contents.
DOI: 10.4121/5a7472f0-8a67-4ec0-84c9-9d032990d654.v1
title: Data underlying the publication: Plant Factories Are Heating Up: Hunting for the Best Combination of Light Intensity, Air Temperature and Root-Zone Temperature in Lettuce Production

description: This study analyzed interactions among photon flux density (PPFD), air temperature, root-zone temperature for growth of lettuce with non-limiting water, nutrient, and CO2 concentration. We measured growth parameters in 48 combinations of a PPFD of 200, 400, and 750 μmol m–2 s–1 (16 h daylength), with air and root-zone temperatures of 20, 24, 28, and 32°C. Lettuce (Lactuca sativa cv. Batavia Othilie) was grown for four cycles (29 days after transplanting). Eight combinations with low root-zone (20 and 24°C), high air temperature (28 and 32°C) and high PPFD (400 and 750 μmol m–2 s–1) resulted in an excessive incidence of tip-burn and were not included in further analysis. Dry mass increased with increasing photon flux to a PPFD of 750 μmol m–2 s–1. <br>The effect of air temperature on fresh yield was linked to all leaf expansion processes. SLA, shoot mass allocation and water content of leaves showed the same trend for air temperature with a maximum around 24°C. The effect of root temperature was less prominent with an optimum around 28°C in nearly all conditions. With this combination of temperatures, market size (fresh weight shoot = 250 g) was achieved in 26, 20, and 18 days, at 200, 400, and 750 μmol m–2 s–1, respectively, with a corresponding shoot dry matter content of 2.6, 3.8, and 4.2%. In conclusion, three factors determine the “optimal” PPFD: capital and operational costs of light intensity vs the value of reducing cropping time, and the market value of higher dry matter contents.
DOI: 10.15468/1rdkla
title: sarce_rockyshores

description: The South American Research Group on Coastal Ecosystems was established to assess marine diversity and biomass along both coasts of South America through an international collaboration. The main goals of SARCE are to:

 Test hypotheses about latitudinal gradients and patterns of local and regional biodiversity
 Identify the relationship between biodiversity and ecosystem functioning
 Assess the effect of environmental gradients and anthropogenic stressors
 Carry out capacity building and training activities aimed to solve environmental problems for the benefit of society

The SARCE network includes more than 30 researchers from 9 South American coastal countries and has sampled with a standardized protocol in more than 50 sites around the continent.
The SARCE network was established in 2010 in order to continue the legacy of the Census of Marine Life – NaGISA project in South America. NaGISA conducted a large scale survey of the nearshore using a standardized protocol having inventoried nearly 4000 species and providing more than 60,000 diversity and distribution records to the Ocean Biogeographic Information System (OBIS). NaGISA also built a network of nearshore researchers in 28 countries and included community members, students, and citizen scientists. NaGISA sampling revealed new large scale patterns in nearshore diversity for many taxa/community types, some of which challenged the existing paradigms on latitudinal marine biodiversity patterns, at least for the nearshore.
DOI: 10.15468/dl.5p8vwu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Sorbaria sorbifolia"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007873-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/v9y9p5
title: Filling the gap: Noteworthy herpetological discoveries in North West Province, South Africa

description: The North West Province, South Africa, is centrally situated in southern Africa and is characterised by savannah with a mesic, temperate climate in the east and a hot, arid climate in the west. While the eastern region is fairly well-documented for herpetofauna, the arid central and western regions are poorly surveyed. Given that the Province has been targeted by the national government for development of infrastructure, the overall deficiency of biodiversity data could result in impact assessments that are not well-informed. We, therefore, carried out herpetofaunal surveys over two years (2019–2020) in the North West Province to improve knowledge on the distributions of reptiles and amphibians. Our surveys added a total of 578 new records to an earlier baseline of 1340 records. In addition, over 300 records were added to a citizen-science platform in connection with our surveys. As compared to the previous 100 years, our surveys increased the herpetofaunal dataset by 68% in just two years, increased geographic coverage by 20% and brought the total number of species with accurate records for the Province to 102 reptiles and 23 amphibians. We also recorded range extensions for five reptile species and confirmed the presence of Dendroaspis polylepis (Black Mamba) in the west where it had been last recorded in 1996. Our surveys resulted in a significant increase in biodiversity data for the Province and provided a better foundation for spatial planning that accounts for biodiversity and the maintenance of ecological function.
DOI: 10.15468/dl.hebmxa
title: Occurrence Download

description: A dataset containing 3754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus japonica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3754 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007875-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q29vfm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Comarum palustre"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007878-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8shau9
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Allium saxatile"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007874-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17481957
title: Dataset for ChatGPT Mobile Sentiment Analysis from Google Play Store
DOI: 10.5281/zenodo.17481958
title: Dataset for ChatGPT Mobile Sentiment Analysis from Google Play Store
DOI: 10.5281/zenodo.17481657
title: Dataset "Analysis of High Frequency Marsquake Swarms Informed by Deep Learning" (JGR Planets)

description: Dataset, Catalog and Code accompanying  "Analysis of High Frequency Marsquake Swarms Informed by Deep Learning"
Nikolaj L Dahmen, John F Clinton, Simon C Stähler, Savas Ceylan, and Domenico Giardini; JGR Planets (2025JE009229)

 

This dataset provides supporting materials for the study “Analysis of High Frequency Marsquake Swarms Informed by Deep Learning.” It includes denoised seismic waveforms, extended event catalogs, and analysis tools used in the study of high-frequency (HF) marsquake families recorded by the InSight mission:

1) Denoised data of high frequency marsquakes

Velocity waveforms are in physical units, rotated to ZNE components with ID: XB.ELYDL.03.BHZ/N/E; dervied from original waveforms XB.ELYSE.02.BHZ/N/E

MSEED fiiles for all event waveforms from the high frequency event family (based on revised version of Marsquake Service catalogue Version 14 (https://doi.org/10.12686/a21) and the extended MarsQuakeNet catalog (https://doi.org/10.5281/zenodo.7157843) whenever 20 sps data are available.
2 ) Extended catalog of high frequency swarm marsquakes with phase picks, timing uncertainty, epicentral distances, and magnitudes.

 

3) Phase picking models and code examples.

 

4) Swarm event envelopes as documented in publication

 

5) ReadMe 

 

Related datasets and code packages:

 

MarsQuakeNet: https://doi.org/10.5281/zenodo.7157843

Low frequency Marsquakes: https://doi.org/10.5281/zenodo.11995107
DOI: 10.5281/zenodo.17481658
title: Dataset "Analysis of High Frequency Marsquake Swarms Informed by Deep Learning" (JGR Planets)

description: Dataset, Catalog and Code accompanying  "Analysis of High Frequency Marsquake Swarms Informed by Deep Learning"
Nikolaj L Dahmen, John F Clinton, Simon C Stähler, Savas Ceylan, and Domenico Giardini; JGR Planets (2025JE009229)

 

This dataset provides supporting materials for the study “Analysis of High Frequency Marsquake Swarms Informed by Deep Learning.” It includes denoised seismic waveforms, extended event catalogs, and analysis tools used in the study of high-frequency (HF) marsquake families recorded by the InSight mission:

1) Denoised data of high frequency marsquakes

Velocity waveforms are in physical units, rotated to ZNE components with ID: XB.ELYDL.03.BHZ/N/E; dervied from original waveforms XB.ELYSE.02.BHZ/N/E

MSEED fiiles for all event waveforms from the high frequency event family (based on revised version of Marsquake Service catalogue Version 14 (https://doi.org/10.12686/a21) and the extended MarsQuakeNet catalog (https://doi.org/10.5281/zenodo.7157843) whenever 20 sps data are available.
2 ) Extended catalog of high frequency swarm marsquakes with phase picks, timing uncertainty, epicentral distances, and magnitudes.

 

3) Phase picking models and code examples.

 

4) Swarm event envelopes as documented in publication

 

5) ReadMe 

 

Related datasets and code packages:

 

MarsQuakeNet: https://doi.org/10.5281/zenodo.7157843

Low frequency Marsquakes: https://doi.org/10.5281/zenodo.11995107
DOI: 10.6084/m9.figshare.30488237
title: Supplementary Material for: A novel relationship between Corticotropin-releasing hormone level and high-altitude hypoxia in human and rat model

description: Background: Acute mountain sickness(AMS) strikes people who travel too quickly to high altitude, outstripping their ability to acclimatize. Individual susceptibility to AMS remains unpredictable. The aim of study was to investigate the neuroendocrine mechanisms regulation of corticotrophin releasing hormone(CRH) and associated with AMS. 
Methods: Volunteers performed exercise by cycling or by running, and the other was assigned to ascend from low to high altitude. CRH and cortisol levels were tested. AMS questionnaires were answered by volunteers. Rats were exposed in a hypobaric chamber for altitude hypoxia. CRH, Crhr1mRNA, and corticosterone levels were measured. LDH and O2 saturation were evaluated. 
Results: In rats, hypobaric hypoxia resulted in increased CRH release and mRNA expression in the paraventricular nucleus(PVN). Hypobaric hypoxia also up-regulated Crhr1mRNA in the pituitary and PVN in a hypoxia exposure-dependent manner, along with activation of apoptotic gene mRNA and neuronal apoptosis in cortex. These effects were associated with activation of CRHR1. Hypoxia-enhanced plasma CRH levels were negatively correlated with brain CRH level, but positively with plasma corticosterone in rats. In humans, exercise at low altitude increased CRH and cortisol levels in both plasma and saliva. The increased levels in plasma correlated with increased salivary CRH. Significantly, lowlanders with high plasma CRH at low altitude developed AMS after rapid ascent to the Tibet plateau. At high altitude, lowlanders with high AMS scores had high salivary and plasma CRH levels.
Conclusions: Hypobaric hypoxia is associated with high plasma CRH in rats. In human strong activation of CRH and CRHR1 is positively linked to AMS. CRH levels in saliva or plasma appear to predict individual responses to hypoxia.
DOI: 10.6084/m9.figshare.30488237.v1
title: Supplementary Material for: A novel relationship between Corticotropin-releasing hormone level and high-altitude hypoxia in human and rat model

description: Background: Acute mountain sickness(AMS) strikes people who travel too quickly to high altitude, outstripping their ability to acclimatize. Individual susceptibility to AMS remains unpredictable. The aim of study was to investigate the neuroendocrine mechanisms regulation of corticotrophin releasing hormone(CRH) and associated with AMS. 
Methods: Volunteers performed exercise by cycling or by running, and the other was assigned to ascend from low to high altitude. CRH and cortisol levels were tested. AMS questionnaires were answered by volunteers. Rats were exposed in a hypobaric chamber for altitude hypoxia. CRH, Crhr1mRNA, and corticosterone levels were measured. LDH and O2 saturation were evaluated. 
Results: In rats, hypobaric hypoxia resulted in increased CRH release and mRNA expression in the paraventricular nucleus(PVN). Hypobaric hypoxia also up-regulated Crhr1mRNA in the pituitary and PVN in a hypoxia exposure-dependent manner, along with activation of apoptotic gene mRNA and neuronal apoptosis in cortex. These effects were associated with activation of CRHR1. Hypoxia-enhanced plasma CRH levels were negatively correlated with brain CRH level, but positively with plasma corticosterone in rats. In humans, exercise at low altitude increased CRH and cortisol levels in both plasma and saliva. The increased levels in plasma correlated with increased salivary CRH. Significantly, lowlanders with high plasma CRH at low altitude developed AMS after rapid ascent to the Tibet plateau. At high altitude, lowlanders with high AMS scores had high salivary and plasma CRH levels.
Conclusions: Hypobaric hypoxia is associated with high plasma CRH in rats. In human strong activation of CRH and CRHR1 is positively linked to AMS. CRH levels in saliva or plasma appear to predict individual responses to hypoxia.