cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17137314
title: From banners to microhabitats: how illuminated advertisements are utilised by house geckos (Hemidactylus frenatus)

description: Title: From banners to microhabitats: how illuminated advertisements are utilised by house geckos (Hemidactylus frenatus)



For Numbers: Gecko counts dataset and R scripts (zero-truncated Poisson GLM)

For Presence: Gecko presence/absence dataset and R scripts (binomial GLM)


Description

This repository contains the dataset and R scripts used in the analysis of gecko abundance (counts) / presence–absence.



The counts dataset (GeckosN.xlsx) includes numbers of geckos per banner together with covariates (Sunset, Temperature, Sound, Illuminance, Surface, Height, Anchor, City). Analysis was performed using a zero-truncated Poisson GLM, with incidence rate ratios (IRR), diagnostics, and prediction plots provided.

The presence/absence dataset (GeckosP.xlsx) contains binary presence–absence data with the same covariates. Analysis was performed using a binomial GLM with logit link, including odds ratios (OR), diagnostics, and predictions.


Both repositories contain:



R scripts reproducing the statistical analyses,

a README file with software requirements and instructions,

placeholder Excel data files (to be replaced by the original datasets before upload).
DOI: 10.5281/zenodo.17137315
title: From banners to microhabitats: how illuminated advertisements are utilised by house geckos (Hemidactylus frenatus)

description: Title: From banners to microhabitats: how illuminated advertisements are utilised by house geckos (Hemidactylus frenatus)



For Numbers: Gecko counts dataset and R scripts (zero-truncated Poisson GLM)

For Presence: Gecko presence/absence dataset and R scripts (binomial GLM)


Description

This repository contains the dataset and R scripts used in the analysis of gecko abundance (counts) / presence–absence.



The counts dataset (GeckosN.xlsx) includes numbers of geckos per banner together with covariates (Sunset, Temperature, Sound, Illuminance, Surface, Height, Anchor, City). Analysis was performed using a zero-truncated Poisson GLM, with incidence rate ratios (IRR), diagnostics, and prediction plots provided.

The presence/absence dataset (GeckosP.xlsx) contains binary presence–absence data with the same covariates. Analysis was performed using a binomial GLM with logit link, including odds ratios (OR), diagnostics, and predictions.


Both repositories contain:



R scripts reproducing the statistical analyses,

a README file with software requirements and instructions,

placeholder Excel data files (to be replaced by the original datasets before upload).
DOI: 10.15468/dl.c3bujb
title: Occurrence Download

description: A dataset containing 43746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 2009",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 43746 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008033-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnfg69
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Some finds of birds, mammals, insects, amphibians, reptiles and vascular plants within the Kyiv administrative region of Ukraine"
 ]
}

 The dataset includes 1214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008034-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzpke7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus lepidus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008036-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x3s48hvrvt.1
title: Donald Trump's reputation and sentiment analysis in a Youtube news channel.

description: This research performed a sentiment analysis an a reputation assessment of the president Donald Trump in a Youtube news channel by the employment of Python. Additionally, grounded theory was used to enhance the study. 
The information, the code and the graphics can be found in the following site: https://trump-tariffs-dashboard.onrender.com/
DOI: 10.15468/dl.8yyppq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus lepidus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008037-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf3vh3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus lepidus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008035-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g2p52y87c6
title: PeriodicTableDataset

description: This dataset contains comprehensive physicochemical properties of periodic table elements, compiled from authoritative sources including NIST Chemistry WebBook, CRC Handbook 2022–2023, and PubChem. The dataset is designed for educational purposes, research applications, and machine learning studies focused on chemical element clustering and property prediction.
DOI: 10.17632/g2p52y87c6.1
title: PeriodicTableDataset

description: This dataset contains comprehensive physicochemical properties of periodic table elements, compiled from authoritative sources including NIST Chemistry WebBook, CRC Handbook 2022–2023, and PubChem. The dataset is designed for educational purposes, research applications, and machine learning studies focused on chemical element clustering and property prediction.
DOI: 10.17632/yg6n295mcf
title: Research Data

description: Biological soil crusts (BSCs) are indispensable components for maintaining the stability of desert ecosystems. To date, most studies on the functions and environmental responses of BSCs have focused on desert lowlands, whereas the patterns and drivers of BSC functional traits and biocrust multifunctionality (BMF) on sand-covered mountain slopes remain largely unexplored. In this study, we selected a sand-covered mountain on the northern slope of the central Kunlun Mountains, Hotan County, Xinjiang, where BSCs are widely distributed along a pronounced altitudinal gradient (2,300–3,400 m, eight altitude levels). We conducted field measurements of BSC physical properties (biomass per unit area, thickness, and surface roughness), and laboratory analyses of chemical properties, nutrients, and extracellular enzyme activities. Using linear and nonlinear regression, variance partitioning, and structural equation modeling (SEM), we investigated the altitudinal patterns of BSC functional traits and their potential drivers. The results showed that total phosphorus (TP), soil organic carbon (SOC), and urease activity (S-UE) exhibited significant unimodal trends with increasing altitude (P &lt; 0.05), while hydrolyzable nitrogen (AN), available phosphorus (AP), pH, electrical conductivity (EC), and catalase activity (S-CL) displayed significant U-shaped patterns (P &lt; 0.01). The inflection points of nutrient contents generally occurred between 2,700 and 3,000 m. Ecoenzymatic stoichiometry analysis represented that carbon limitation of BSCs weakened first and then strengthened with altitude, and the nutrient limitation regime shifted gradually from phosphorus limitation to nitrogen limitation. Climatic factors were the dominant drivers of BMF (relative explanatory power: 38%), and also exerted the strongest influence on SOC (34.6%) and total nitrogen (TN, 30.4%). Both climate and BSC physical properties played key regulatory roles on TP, whereas total potassium (TK), available potassium (AK), and AP were primarily driven by geographic factors. Alkaline phosphatase (S-ALP) and S-UE were jointly explained by climate and geography, while AN was mainly regulated by pH and EC. SEM further revealed that climate, BSC physical traits, and soil chemical conditions directly affected BMF, while geographic factors influenced BMF indirectly through climate. Among these, the effects of climate (0.614), pH (−0.573), and geography (0.370) were most pronounced. This study provides the first evidence of the altitudinal variation in the physicochemical properties and multifunctionality of BSCs on the northern slope of the Kunlun Mountains, highlighting the crucial regulatory role of altitude in shaping the ecological functions of desert mountain BSCs. Our findings have important implications for land management and ecological conservation in desert mountain ecosystems, offering a scientific basis for sustainable resource utilization and ecosystem restoration.
DOI: 10.17632/yg6n295mcf.1
title: Research Data

description: Biological soil crusts (BSCs) are indispensable components for maintaining the stability of desert ecosystems. To date, most studies on the functions and environmental responses of BSCs have focused on desert lowlands, whereas the patterns and drivers of BSC functional traits and biocrust multifunctionality (BMF) on sand-covered mountain slopes remain largely unexplored. In this study, we selected a sand-covered mountain on the northern slope of the central Kunlun Mountains, Hotan County, Xinjiang, where BSCs are widely distributed along a pronounced altitudinal gradient (2,300–3,400 m, eight altitude levels). We conducted field measurements of BSC physical properties (biomass per unit area, thickness, and surface roughness), and laboratory analyses of chemical properties, nutrients, and extracellular enzyme activities. Using linear and nonlinear regression, variance partitioning, and structural equation modeling (SEM), we investigated the altitudinal patterns of BSC functional traits and their potential drivers. The results showed that total phosphorus (TP), soil organic carbon (SOC), and urease activity (S-UE) exhibited significant unimodal trends with increasing altitude (P &lt; 0.05), while hydrolyzable nitrogen (AN), available phosphorus (AP), pH, electrical conductivity (EC), and catalase activity (S-CL) displayed significant U-shaped patterns (P &lt; 0.01). The inflection points of nutrient contents generally occurred between 2,700 and 3,000 m. Ecoenzymatic stoichiometry analysis represented that carbon limitation of BSCs weakened first and then strengthened with altitude, and the nutrient limitation regime shifted gradually from phosphorus limitation to nitrogen limitation. Climatic factors were the dominant drivers of BMF (relative explanatory power: 38%), and also exerted the strongest influence on SOC (34.6%) and total nitrogen (TN, 30.4%). Both climate and BSC physical properties played key regulatory roles on TP, whereas total potassium (TK), available potassium (AK), and AP were primarily driven by geographic factors. Alkaline phosphatase (S-ALP) and S-UE were jointly explained by climate and geography, while AN was mainly regulated by pH and EC. SEM further revealed that climate, BSC physical traits, and soil chemical conditions directly affected BMF, while geographic factors influenced BMF indirectly through climate. Among these, the effects of climate (0.614), pH (−0.573), and geography (0.370) were most pronounced. This study provides the first evidence of the altitudinal variation in the physicochemical properties and multifunctionality of BSCs on the northern slope of the Kunlun Mountains, highlighting the crucial regulatory role of altitude in shaping the ecological functions of desert mountain BSCs. Our findings have important implications for land management and ecological conservation in desert mountain ecosystems, offering a scientific basis for sustainable resource utilization and ecosystem restoration.
DOI: 10.17632/9bds9rctgc
title: The role of moss crusts in soil organic carbon accumulation and microbial ecological regulation in post-fire karst areas

description: Research Data
DOI: 10.17632/9bds9rctgc.1
title: The role of moss crusts in soil organic carbon accumulation and microbial ecological regulation in post-fire karst areas

description: Research Data
DOI: 10.17632/r7v4pm8s44
title: Observed/simulated hydrological data for calibrated high-flow events in the Takahashi River catchment

description: This dataset contains input maps (land use, soil types, slope percent rise, and daily average precipitation) and observed/simulated hydrological data for 10 calibrated high-flow events in the Takahashi River catchment, Japan. Hourly observed and simulated streamflow and suspended sediment are provided, with the exception of the 2011 and 2018 events where observed sediment data are unavailable. The dataset supports SWAT model calibration and validation analyses described in the study “Event-based high-temporal resolution modeling of streamflow and sediment transport in a flood-prone catchment.”
DOI: 10.17632/r7v4pm8s44.1
title: Observed/simulated hydrological data for calibrated high-flow events in the Takahashi River catchment

description: This dataset contains input maps (land use, soil types, slope percent rise, and daily average precipitation) and observed/simulated hydrological data for 10 calibrated high-flow events in the Takahashi River catchment, Japan. Hourly observed and simulated streamflow and suspended sediment are provided, with the exception of the 2011 and 2018 events where observed sediment data are unavailable. The dataset supports SWAT model calibration and validation analyses described in the study “Event-based high-temporal resolution modeling of streamflow and sediment transport in a flood-prone catchment.”
DOI: 10.15468/dl.ckn9th
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Some finds of birds, mammals, insects, amphibians and reptiles in July 2014 in Georgia"
 ]
}

 The dataset includes 651 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008038-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zjdzw7kdkc
title: Productive demand and sectoral capacity utilization

description: Replication data repository link
This replication package is also available on Zenodo: https://doi.org/10.5281/zenodo.16571649
The corresponding Github repository is
https://github.com/msilva913/Shopping-effort-variable-capital-utilization-and-Solow-residual

The README file is available as a standard markdown file, and is available in PDF form.
DOI: 10.6073/pasta/a28405e02e3d6559697bcd71a3145a31
title: Water column and sediment porewater nutrient concentrations from lagoon, river, and ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: Several water types (lagoon, river, ocean) and surface sediment porewater samples from the coastal Beaufort Sea system were sampled seasonally to investigate temporal and spatial shifts in nutrient dynamics. Surface and bottom water samples were collected in April, June, July, and August and analyzed for ammonium, nitrate + nitrite, orthophosphate, and silica.
DOI: 10.17632/zjdzw7kdkc.1
title: Productive demand and sectoral capacity utilization

description: Replication data repository link
This replication package is also available on Zenodo: https://doi.org/10.5281/zenodo.16571649
The corresponding Github repository is
https://github.com/msilva913/Shopping-effort-variable-capital-utilization-and-Solow-residual

The README file is available as a standard markdown file, and is available in PDF form.
DOI: 10.17632/9g2nkttsbm.1
title: Influence of pre-existing structures on the Cenozoic kinematic evolution of the Qilian Shan, northern Tibetan Plateau: Insights from analog modeling

description: The sandbox experimental data of “Influence of pre-existing structures on the Cenozoic kinematic evolution of the Qilian Shan, northern Tibetan Plateau: Insights from analog modeling”. The data includes photos of map-view and section-view of 0%, 5%, 15%, and 25% shortening for three experimental models, respectively.
DOI: 10.17632/m3j4zbn3zb.1
title: Dataset of Sound Absorption Coefficients of Panels Made from Textile Waste

description: This dataset contains sound absorption coefficients of sound-absorbing panel samples made from textile waste materials. A total of five panel types were tested, each produced from different textile waste compositions: wool, polyester, linen, cotton, and a mixed sample (consisting of 50% polyester, 30% cotton, 10% wool, 5% linen, and 5% other fiber blend). The measurements were conducted using the impedance tube method in accordance with ISO 10534-2. For each panel type, the average absorption coefficient values were calculated from three repeated measurements to ensure accuracy and representativeness. These experimental results can be used to evaluate the acoustic performance of sustainable materials, compare them with conventional sound-absorbing products, and support further research in environmentally friendly acoustic panel development.
DOI: 10.17632/rp6h79x5hw
title: Pulmonary Nodules: A Study on Combined Diagnostic Methods and Therapeutic Evaluation

description: Raw data of this manuscript.
DOI: 10.60707/gv5j-xz05
title: TEM data from apatite grains in FIB section OREX-803173-100
DOI: 10.17632/rp6h79x5hw.1
title: Pulmonary Nodules: A Study on Combined Diagnostic Methods and Therapeutic Evaluation

description: Raw data of this manuscript.
DOI: 10.6084/m9.figshare.30141748
title: Performance evaluation of BEM and PINNs

description: (Top) Relative error versus solution time for BEM with varying numbers of integration points and for PINNs with different network architectures. Shaded horizontal bands indicate the ranges between the minimum and maximum times for each method. Labels at the right of the plot identify the three groups: PINN (training), BEM (solution), and PINN (evaluation). The green highlighted points correspond to the selected configurations, (𝐿 = 3, 𝑁 = 75) for the PINN and 𝑛 = 15 for the BEM, which were used for the direct comparison of computational times, where 𝐿 is the number of hidden layers, 𝑁 the number of neurons per layer, and 𝑛 the number of integration points. (Bottom) Spatial distributions of the relative error in amplitude and phase are shown for the selected BEM and PINN configurations.
DOI: 10.6084/m9.figshare.30141748.v1
title: Performance evaluation of BEM and PINNs

description: (Top) Relative error versus solution time for BEM with varying numbers of integration points and for PINNs with different network architectures. Shaded horizontal bands indicate the ranges between the minimum and maximum times for each method. Labels at the right of the plot identify the three groups: PINN (training), BEM (solution), and PINN (evaluation). The green highlighted points correspond to the selected configurations, (𝐿 = 3, 𝑁 = 75) for the PINN and 𝑛 = 15 for the BEM, which were used for the direct comparison of computational times, where 𝐿 is the number of hidden layers, 𝑁 the number of neurons per layer, and 𝑛 the number of integration points. (Bottom) Spatial distributions of the relative error in amplitude and phase are shown for the selected BEM and PINN configurations.
DOI: 10.60707/jmj5-5789
title: TEM data from apatite grains in FIB section OREX-803173-100
DOI: 10.17632/jmtn248cc9
title: SoraniTTS dataset : Central Kurdish (CK) Speech Corpus for Text-to-Speech

description: This dataset represents a comprehensive resource for advancing Kurdish TTS systems. Converting text to speech is one of the important topics in the design and construction of multimedia systems, human-machine communication, and information and communication technology, and its purpose, along with speech recognition, is to establish communication between humans and machines in its most basic and natural form, that is, spoken language. 
 For our text corpus, we collected 6,565 sentences from a set of texts in various categories, including news, sport, health, question and exclamation sentences, science, general information, politics, education and literature, story, miscellaneous, and tourism, to create the train sentences. We thoroughly reviewed the texts and normalized them, then they were recorded by a male speaker. We recorded audios in a voice recording studio at 44,100Hz, and all audio files are down sampled to 22,050 Hz in our modeling process. The audio ranges from 3 to 36 seconds in length. We generate the speech corpus in this method, and the last speech has about 6,565 texts and audio pairings, which takes around 19 hours. Altogether, audio files are saved in wave format, and the texts are saved in text files in the corresponding sub-folders. Furthermore, for model training, all of the audio files are gathered in a single folder. Each line in the transcript files is formatted as WAVS | audio file’s name.wav| transcript. The audio file’s name includes the extensions, and the transcript was the speech's text. 
The audio recording and editing process lasted for 90 days. It involved capturing over 6,565 WAV files and over 19 h of recorded speech. The data set helps researchers improve Kurdish TTS early, thereby reducing the time consumed for this process.

Acknowledgments: 
We would like to express our sincere gratitude to Ayoub Mohammadzadeh for his invaluable support in recording the corpus.