cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2ctvaz
title: Occurrence Download

description: A dataset containing 1233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-149.23569 15.99390,-46.76431 15.99390,-46.76431 57.00610,-149.23569 57.00610,-149.23569 15.99390))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kinosternon flavescens",
 "Year 1970-2020"
 ]
}

 The dataset includes 1233 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002498-251120083545085/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.30676169
title: The data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".

description: This is the data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".Files description:1. All_UAS_spectra_and_observed_and_predicted_trait_data.xlsxThis includes the observed data of trait and spectra, and the predicted trait data.<br>2. Canopy_2024_PLSR_ST_canopy_run_refit.pyThis is the python code used for PLSR modeling.<br>3. python_code_get_model_details.zipThis is the python code to get model performance, coefficients, VIPs, and so on.<br>4. mapping_code_for_Fig.4_and_Fig6.zipThis is the code used for image process and mapping.<br>5. Fig. 5 data and R code.zipThis is the data and R code of PCA process.<br>6. Fig. 6 data.xlsxThis is the first 3 PCs got from PCA in Fig. 5.
DOI: 10.6084/m9.figshare.30676169.v1
title: The data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".

description: This is the data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".Files description:1. All_UAS_spectra_and_observed_and_predicted_trait_data.xlsxThis includes the observed data of trait and spectra, and the predicted trait data.<br>2. Canopy_2024_PLSR_ST_canopy_run_refit.pyThis is the python code used for PLSR modeling.<br>3. python_code_get_model_details.zipThis is the python code to get model performance, coefficients, VIPs, and so on.<br>4. mapping_code_for_Fig.4_and_Fig6.zipThis is the code used for image process and mapping.<br>5. Fig. 5 data and R code.zipThis is the data and R code of PCA process.<br>6. Fig. 6 data.xlsxThis is the first 3 PCs got from PCA in Fig. 5.
DOI: 10.6084/m9.figshare.30676169.v2
title: The data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".

description: This is the data of the paper "Remote spectral detection of canopy functional strategies varying within and across forest types".Files description:1. All_UAS_spectra_and_observed_and_predicted_trait_data.xlsxThis includes the observed data of trait and spectra, and the predicted trait data.<br>2. Canopy_2024_PLSR_ST_canopy_run_refit.pyThis is the python code used for PLSR modeling.<br>3. python_code_get_model_details.zipThis is the python code to get model performance, coefficients, VIPs, and so on.<br>4. mapping_code_for_Fig.4_and_Fig6.zipThis is the code used for image process and mapping.<br>5. Fig. 5 data and R code.zipThis is the data and R code of PCA process.<br>6. Fig. 6 data.xlsxThis is the first 3 PCs got from PCA in Fig. 5.
DOI: 10.15468/dl.c6jjaw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-115.7893 35.15274, -115.788 35.15427, -115.7905 35.15522, -115.7918 35.15344, -115.7893 35.15274))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002499-251120083545085/datasets/export for details.
DOI: 10.15468/dl.kbhxx7
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus presbytes",
 "Year 2024-2025"
 ]
}

 The dataset includes 238 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002500-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17674262
title: Supporting Data for  "Spatiotemporal assessment of U.S. seaweed energy and fertilizer pathways reveals climate and land use mitigation opportunities".

description: This data is related to the article "Spatiotemporal assessment of U.S. seaweed energy and fertilizer pathways reveals climate and land use mitigation opportunities", for the review process only.
DOI: 10.15468/dl.7a5v6e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-115.7276 35.1436, -115.7273 35.14483, -115.7299 35.145, -115.7301 35.14354, -115.7276 35.1436))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002501-251120083545085/datasets/export for details.
DOI: 10.15468/dl.ufphzc
title: Occurrence Download

description: A dataset containing 2587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemionitis"
 ]
}

 The dataset includes 2587 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002502-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.am9e25
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-123.67514 -12.89365,10.67514 -12.89365,10.67514 40.89365,-123.67514 40.89365,-123.67514 -12.89365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pithecellobium arboreum"
 ]
}

 The dataset includes 344 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002505-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ym995j
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-73.63566 41.02755,-72.83334 45.15634,-74.95182 45.23747,-79.04455 43.65086,-80.27057 42.01017,-74.56418 40.56779,-71.49914 40.1441,-71.81466 41.23489,-73.63566 41.02755))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Asio flammeus",
 "Year 2024-2024"
 ]
}

 The dataset includes 2193 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002504-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch7994
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx pardinus",
 "Year 2000-2025"
 ]
}

 The dataset includes 1250 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002506-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42yntg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-120.8031 36.69682, -120.8008 36.69573, -120.799 36.69535, -120.7973 36.6957, -120.7958 36.69861, -120.7961 36.70034, -120.7967 36.70066, -120.798 36.70134, -120.7995 36.70212, -120.801 36.70284, -120.8056 36.69907, -120.8031 36.69682))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002507-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17672318
title: Alternative Tactics to Herbicides in Integrated Weed Management: a Europe-centered systematic literature review

description: This dataset underpins a systematic review of alternative weed-control tactics to herbicides across major cropping systems in the EU-27 and the UK (2013–2022) conducted whithin the Horizon Europe Oper8 project. Each record reports the study’s bibliographic details and the integrated weed management (IWM) tactic(s) investigated, coded according to the IWMPRAISE framework.





Search source: Scopus




Classification framework whithin five Pillars:





Direct control




Field and soil management




Cultivar choice and crop establishment




Diverse cropping systems




Monitoring and evaluation





PurposeTo provide an overview of current knowledge on non-herbicide weed-control options, quantify how extensively IWM tactics have been investigated, and highlight evidence gaps to guide future research priorities.

ContentsBibliographic metadata for included studies are: IWM Pillar; IWM Tactic; ID; Authors; Year; Authors_year; Title; DOI; URL; COUNTRY; CROP TYPE; DESCRIPTION OF TESTED TACTIC; DESCRIPTION OF REFERENCE SYSTEM; REFERENCE SYSTEM TYPE;

KeywordsIntegrated Weed Management; alternative weed control; IWMPRAISE; Oper8; systematic review; dataset, scientific publications, non-chemical weed control, diversification, field trial;
DOI: 10.5281/zenodo.17672317
title: Alternative Tactics to Herbicides in Integrated Weed Management: a Europe-centered systematic literature review

description: This dataset underpins a systematic review of alternative weed-control tactics to herbicides across major cropping systems in the EU-27 and the UK (2013–2022) conducted whithin the Horizon Europe Oper8 project. Each record reports the study’s bibliographic details and the integrated weed management (IWM) tactic(s) investigated, coded according to the IWMPRAISE framework.





Search source: Scopus




Classification framework whithin five Pillars:





Direct control




Field and soil management




Cultivar choice and crop establishment




Diverse cropping systems




Monitoring and evaluation





PurposeTo provide an overview of current knowledge on non-herbicide weed-control options, quantify how extensively IWM tactics have been investigated, and highlight evidence gaps to guide future research priorities.

ContentsBibliographic metadata for included studies are: IWM Pillar; IWM Tactic; ID; Authors; Year; Authors_year; Title; DOI; URL; COUNTRY; CROP TYPE; DESCRIPTION OF TESTED TACTIC; DESCRIPTION OF REFERENCE SYSTEM; REFERENCE SYSTEM TYPE;

KeywordsIntegrated Weed Management; alternative weed control; IWMPRAISE; Oper8; systematic review; dataset, scientific publications, non-chemical weed control, diversification, field trial;
DOI: 10.15468/dl.wd3nbr
title: Occurrence Download

description: A dataset containing 2454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx pardinus"
 ]
}

 The dataset includes 2454 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002508-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csanwp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-120.8121 36.70894, -120.8132 36.70643, -120.8114 36.70655, -120.8034 36.70097, -120.801 36.70292, -120.8121 36.70894))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002509-251120083545085/datasets/export for details.
DOI: 10.15468/dd.gexq9k
title: WSP_GBIF_Collector_Cumberland Forest 2

description: Generated from API search results. Project Cumberland Forest 2 - Cumberland Forest 2
DOI: 10.4224/40003589
title: LMDG: advancing lateral movement detection through high-fidelity dataset generation

description: Lateral Movement (LM) attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this gap, we propose LMDG, a reproducible and extensible framework for generating high-fidelity LM datasets. LMDG automates benign activity generation, multi-stage attack execution, and comprehensive labeling of system and network logs, dramatically reducing manual effort and enabling scalable dataset creation. A central contribution of LMDG is Process Tree Labeling, a novel agent-based technique that traces all malicious activity back to its origin with high precision. Unlike prior methods such as Injection Timing or Behavioral Profiling, Process Tree Labeling enables accurate, step-wise labeling of malicious log entries, correlating each with a specific attack step and MITRE ATT\&CK TTPs. To our knowledge, this is the first approach to support fine-grained labeling of multi-step attacks, providing critical context for detection models such as attack path reconstruction. We used LMDG to generate a 25-day dataset within a 25-VM enterprise environment containing 22 user accounts. The dataset includes 944 GB of host and network logs and embeds 35 multi-stage LM attacks, with malicious events comprising less than 1% of total activity, reflecting a realistic benign-to-malicious ratio for evaluating detection systems. LMDG-generated datasets improve upon existing ones by offering diverse LM attacks, up-to-date attack patterns, longer attack timeframes, comprehensive data sources, realistic network architectures, and more accurate labeling.
DOI: 10.4224/40003458
title: Automated machine-learning driven analysis of microplastics by TGA-FTIR for enhanced identification and quantification

description: Microplastics persist as a ubiquitous environmental contaminant, and efficient methods to quantify and identify their presence are essential for assessing their environmental and health impacts. Common identification approaches typically fall under either vibrational spectroscopy or thermoanalytical techniques, with thermogravimetric analysis (TGA) coupled with Fourier transform infrared spectroscopy (FTIR) bridging the intersection. Despite its potential, TGA-FTIR remains relatively underutilized for microplastic analysis, even though each thermogram is associated with approximately 200 FTIR spectra that can be rapidly assessed with targeted automated data analysis. This work explores the development of data analysis routines specialized in identifying plastic components from TGA-FTIR. A dedicated spectral library and matching algorithm were created to identify polymers from their gas-phase FTIR spectra. The approach was further enhanced by utilizing machine learning (ML) classification techniques, including k-nearest neighbor, random forest, support vector classifier, and multilayer perceptrons. The performance of these classifiers for complex datasets was evaluated using synthetic datasets generated from the spectral library. ML techniques offered precise and unambiguous identification compared to a custom spectral matching algorithm. By correlating polymer identities with mass-loss in the thermogram, this approach combines qualitative insights with semi-quantitative analysis, enabling a streamlined assessment of plastic content in samples.
DOI: 10.6084/m9.figshare.27179371
title: Profess-sirs and Profess-hers: gender and ethnicity stereotypes that students associate with scientists

description: A common narrative emerges from previous studies suggesting that scientists are most frequently thought of as being old, white men. This stereotype has been assessed in the past using drawing analysis methods but here, an updated approach – a drawing activity followed by a survey was chosen, to remove the need for inference. The purpose of the survey was to understand if the aspects of the scientist-stereotype are still present and impacting school students today and if students’ career prospects are influenced by learning about a diverse range of scientists. Our findings suggest gender and ethnicity aspects of the scientist stereotype are still present but a shift has occurred, away from the old-age associated with a scientist, towards a younger individual. This adaptation suggests that it is possible to influence this stereotype and we propose that further understanding of what caused this change could influence the stereotypical gender and ethnicity too. It was found that learning about a diverse range of scientists is not associated with a school student feeling like they can have a career in STEM, which we hypothesise may be due to the passive nature of this intervention and that a more active intervention method may be needed.
DOI: 10.6084/m9.figshare.27179371.v1
title: Profess-sirs and Profess-hers: gender and ethnicity stereotypes that students associate with scientists

description: A common narrative emerges from previous studies suggesting that scientists are most frequently thought of as being old, white men. This stereotype has been assessed in the past using drawing analysis methods but here, an updated approach – a drawing activity followed by a survey was chosen, to remove the need for inference. The purpose of the survey was to understand if the aspects of the scientist-stereotype are still present and impacting school students today and if students’ career prospects are influenced by learning about a diverse range of scientists. Our findings suggest gender and ethnicity aspects of the scientist stereotype are still present but a shift has occurred, away from the old-age associated with a scientist, towards a younger individual. This adaptation suggests that it is possible to influence this stereotype and we propose that further understanding of what caused this change could influence the stereotypical gender and ethnicity too. It was found that learning about a diverse range of scientists is not associated with a school student feeling like they can have a career in STEM, which we hypothesise may be due to the passive nature of this intervention and that a more active intervention method may be needed.
DOI: 10.6084/m9.figshare.30521295
title: Turkish language validity and reliability of the severe asthma Questionnaire (SAQ)

description: The Severe Asthma Questionnaire (SAQ) is a validated tool used to assess health-related quality of life (HRQoL) in patients with severe asthma. This study aimed to evaluate the Turkish language validity, reliability, and concurrent validity of the SAQ in comparison with other validated tools in Turkish. This was a multi-centre, real-life, prospective observational study. Patients with severe asthma who had been receiving biologic therapy for at least six months were enrolled. After translation with cultural adaptation, the Turkish version of the SAQ (TR-SAQ), the Asthma Control Test (ACT), and the Asthma Quality of Life Questionnaire (AQLQ) were administered alongside pulmonary function tests on the same day. The TR-SAQ was repeated on day 14 ± 2. The validity and reliability were assessed based on the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) criteria. Among the 197 severe asthma patients included, 73.4% (n:144) were female, with a mean age of 53.6 ± 13 years. The mean total score of the SAQ (16-item) was 5.09 ± 1.41 (out of 7), and the global SAQ score was 68.24 ± 21.23. The TR-SAQ demonstrated high internal consistency (Cronbach’s alpha = 0.955). Test-retest reliability was <i>r</i> = 0.785 (<i>p</i> &lt; 0.001). The Kaiser-Meyer-Olkin value was 0.93, and Bartlett’s test p-value was &lt;0.001, supporting factorability. SAQ total scores correlated significantly with ACT (<i>r</i> = 0.597, <i>p</i> &lt; 0.001) and AQLQ (<i>r</i> = 0.727, <i>p</i> &lt; 0.001). No significant differences in SAQ scores were observed across gender, BMI, or comorbidities (<i>p</i> &gt; 0.05). Turkish physicians can use TR-SAQ, a valid, reliable HRQoL assessment tool, for severe asthma patients.
DOI: 10.6084/m9.figshare.30521295.v2
title: Turkish language validity and reliability of the severe asthma Questionnaire (SAQ)

description: The Severe Asthma Questionnaire (SAQ) is a validated tool used to assess health-related quality of life (HRQoL) in patients with severe asthma. This study aimed to evaluate the Turkish language validity, reliability, and concurrent validity of the SAQ in comparison with other validated tools in Turkish. This was a multi-centre, real-life, prospective observational study. Patients with severe asthma who had been receiving biologic therapy for at least six months were enrolled. After translation with cultural adaptation, the Turkish version of the SAQ (TR-SAQ), the Asthma Control Test (ACT), and the Asthma Quality of Life Questionnaire (AQLQ) were administered alongside pulmonary function tests on the same day. The TR-SAQ was repeated on day 14 ± 2. The validity and reliability were assessed based on the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) criteria. Among the 197 severe asthma patients included, 73.4% (n:144) were female, with a mean age of 53.6 ± 13 years. The mean total score of the SAQ (16-item) was 5.09 ± 1.41 (out of 7), and the global SAQ score was 68.24 ± 21.23. The TR-SAQ demonstrated high internal consistency (Cronbach’s alpha = 0.955). Test-retest reliability was <i>r</i> = 0.785 (<i>p</i> &lt; 0.001). The Kaiser-Meyer-Olkin value was 0.93, and Bartlett’s test p-value was &lt;0.001, supporting factorability. SAQ total scores correlated significantly with ACT (<i>r</i> = 0.597, <i>p</i> &lt; 0.001) and AQLQ (<i>r</i> = 0.727, <i>p</i> &lt; 0.001). No significant differences in SAQ scores were observed across gender, BMI, or comorbidities (<i>p</i> &gt; 0.05). Turkish physicians can use TR-SAQ, a valid, reliable HRQoL assessment tool, for severe asthma patients.