cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18402628
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes? Aufpassen bei materialisierungen und Frequenz körpern was ist mit dem Code auch bei Kindern und löschungen und zrrstören sie wollen sich mit mehr mehr code von euch wiederherstellen und euch rekursiv so Schwachstellen machen woraus besteht der körper gibt es Steuer Verbindungen gedanklich was wenn er stirbt was bleibt zurück? Lebt als werdet ihr beobachtet das Zeitalter der erinnerungs fakes und des angucken derer rückt näher jeder betrug jeder text kommt irgendwann "raus"
DOI: 10.5061/dryad.dv41ns22t
title: Raw Raman data of Mycobacterium bovis BCG, Rhodococcus erythropolis, & Corynebacterium glutamicum

description: Even in the face of the COVID-19 pandemic, Tuberculosis (TB) continues to
 be a major public health problem and the 2nd biggest infectious cause of
 death worldwide. There is, therefore, an urgent need to develop effective
 TB diagnostic methods, which are cheap, portable, sensitive and specific.
 Raman spectroscopy is a potential spectroscopic technique for this
 purpose, however, so far, research efforts have focused primarily on the
 characterisation of Mycobacterium tuberculosis and other Mycobacteria,
 neglecting bacteria within the microbiome and thus, failing to consider
 the bigger picture. It is paramount to characterise relevant
 Mycobacteriales and develop suitable analytical tools to discriminate them
 from each other. Herein, through the combined use of Raman spectroscopy
 and the self-optimising Kohonen index network and further multivariate
 tools, we have successfully undertaken the spectral analysis of
 Mycobacterium bovis BCG, Corynebacterium glutamicum and Rhodoccocus
 erythropolis. This has led to development of a useful tool set, which can
 readily discern spectral differences between these three closely related
 bacteria as well as generate a unique spectral barcode for each species.
 Further optimisation and refinement of the developed method will enable
 its application to other bacteria inhabiting the microbiome and ultimately
 lead to advanced diagnostic technologies, which can save many
 lives. 
description: Spectral acquisitions were performed using an InVia confocal
 Raman (Renishaw). The spectrometer was calibrated prior to each use with
 silicon (520.7cm-1 ). A 100x Leica objective and a 1200l/mm grating were
 used for all measurements in the range of 750-1750cm-1 . Raman map scans,
 consisting of 3 accumulations and 10 second exposure time, were acquired
 over a 10µm x 10µm square grid using a 785nm excitation laser with laser
 power of 10-14mW. 100 spectra were collected for each bacterium with 3
 replicas, generating a total of n=300 spectra per bacterial species. Wire
 5.1 (Renishaw Plc) software was used for baseline subtraction and cosmic
 ray removal. Files were then exported in .txt
 format. 
description: Notepad
DOI: 10.17632/cz8cmtnrxc
title: Laser-based detection and predictive modeling of methane concentrations in cattle respiration

description: This database contains records of methane (CH₄) gas emissions produced by cattle during the respiratory process. The data was collected using a Laser Methane Detector. Measurements were taken during five different field visits, and the corresponding data is stored in the Raw Data folder. Each field visit folder contains several meas_merged_n.csv files, which include information on burp events, reported as ppm emitted over time. Since a single meas_merged_n.csv file can include more than one burp event, a total of 97 events was recorded and labeled in the Event_limits_def.xlsx file.


The Event_limits_def file contains twelve columns. The first two columns, "Visit" and "Measurement", indicate the location of the tagged event. "Visit" refers to the name of the folder corresponding to the field visit where the meas_merged file is stored, while "Measurement" refers to the specific meas_merged file (identified by its number) that contains the event. The "ix_event" column indicates the event number within that file.

Each event was split into two parts: a primary sub-event and a secondary sub-event, which are specified in the "type_event" column. The "start" and "end" columns indicate the time (in seconds) during which the sub-event occurs. The next column corresponds to the number of event from 1 to 97. The next three columns refer to the cow’s "Animal's Position", "Mouth Position", and "Activity" at the time the measurement was taken. Finally, "Measurement Spot" and "Distance" describe where the laser was pointed and the distance between the laser and the measurement spot.

ExpSinosouid and Gaussians model

The ExpSinosouid and Gaussians model folders each contain three files: trues, preds, and params.

- The trues file contains the same records as those in the Raw Data, meaning it replicates the information from the corresponding meas_merged_n.csv files.
- The preds file includes the predictions generated by each model for every event.
- The params file contains the model parameters or coefficients used to generate each prediction. These coefficients can be used to reconstruct the predictive equations.

To visualize or plot any of this data, refer to the PlotsModelVisualization script, which includes Python-based code for plotting the model results.

LogNormal Model

The LogNormal model folder contains 98 .csv files. The LogNormCoeff.csv file includes the coefficients used to represent the fitted curves for each event. The other 97 files correspond to the individual event predictions. Visualization for this model is also supported by the PlotsModelVisualization script. Remember that each event is numbered from 1 to 97 based on the time it was recorded, i.e. event 1 corresponds to "Visit" 1, "meas_merged_1", "ix_event" 1; event 97 corresponds to "Visit" 5th, last meas_merged file or "meas_merged_6" and the last event of that file or "ix_event" 6.
DOI: 10.17632/cz8cmtnrxc.2
title: Laser-based detection and predictive modeling of methane concentrations in cattle respiration

description: This database contains records of methane (CH₄) gas emissions produced by cattle during the respiratory process. The data was collected using a Laser Methane Detector. Measurements were taken during five different field visits, and the corresponding data is stored in the Raw Data folder. Each field visit folder contains several meas_merged_n.csv files, which include information on burp events, reported as ppm emitted over time. Since a single meas_merged_n.csv file can include more than one burp event, a total of 97 events was recorded and labeled in the Event_limits_def.xlsx file.


The Event_limits_def file contains twelve columns. The first two columns, "Visit" and "Measurement", indicate the location of the tagged event. "Visit" refers to the name of the folder corresponding to the field visit where the meas_merged file is stored, while "Measurement" refers to the specific meas_merged file (identified by its number) that contains the event. The "ix_event" column indicates the event number within that file.

Each event was split into two parts: a primary sub-event and a secondary sub-event, which are specified in the "type_event" column. The "start" and "end" columns indicate the time (in seconds) during which the sub-event occurs. The next column corresponds to the number of event from 1 to 97. The next three columns refer to the cow’s "Animal's Position", "Mouth Position", and "Activity" at the time the measurement was taken. Finally, "Measurement Spot" and "Distance" describe where the laser was pointed and the distance between the laser and the measurement spot.

ExpSinosouid and Gaussians model

The ExpSinosouid and Gaussians model folders each contain three files: trues, preds, and params.

- The trues file contains the same records as those in the Raw Data, meaning it replicates the information from the corresponding meas_merged_n.csv files.
- The preds file includes the predictions generated by each model for every event.
- The params file contains the model parameters or coefficients used to generate each prediction. These coefficients can be used to reconstruct the predictive equations.

To visualize or plot any of this data, refer to the PlotsModelVisualization script, which includes Python-based code for plotting the model results.

LogNormal Model

The LogNormal model folder contains 98 .csv files. The LogNormCoeff.csv file includes the coefficients used to represent the fitted curves for each event. The other 97 files correspond to the individual event predictions. Visualization for this model is also supported by the PlotsModelVisualization script. Remember that each event is numbered from 1 to 97 based on the time it was recorded, i.e. event 1 corresponds to "Visit" 1, "meas_merged_1", "ix_event" 1; event 97 corresponds to "Visit" 5th, last meas_merged file or "meas_merged_6" and the last event of that file or "ix_event" 6.
DOI: 10.5061/dryad.m63xsj466
title: Double-blind peer review affects reviewer ratings and editor decisions at an ecology journal

description: There is substantial evidence that systemic biases influence the scholarly
 peer review process. Many scholars have advocated for double-blind peer
 review (also known as double-anonymous review) to reduce these biases.
 However, the effectiveness of double‐blind peer review in eliminating
 biases is uncertain because few randomized trials have manipulated
 blinding of author identities for journal submissions, and those that have
 are generally small or provide few insights on how it influences reviewer
 biases. In 2019, Functional Ecology began a large randomized trial, using
 real manuscript submissions, to evaluate the various consequences of
 shifting to double-blind peer review. Research papers submitted to the
 journal were randomly assigned to be reviewed with author identities
 blinded to reviewers (double‐blind review) or with authors identified to
 reviewers (single-blind review). In this paper, we explore the effect of
 blinding on the outcomes of peer review, examining reviewer ratings and
 editorial decisions, and ask whether author gender and/or location mediate
 the effects of review type. Double-blind review reduced the average
 success of manuscripts in peer review; papers reviewed with author
 identities blinded received on average lower ratings from reviewers and
 were less likely to be invited for revision or resubmission. However, the
 effect of review treatment varied with author location. Papers with first
 authors residing in countries with a higher human development index (HDI)
 and/or higher average English proficiency fared much better than those
 from countries with a lower HDI and lower English proficiency, but only
 when author identities were known to reviewers; outcomes were similar
 between demographic groups when author identities were not known to
 reviewers. Blinding author identities had no effect on gender differences
 in reviewer ratings or editor decisions. Our data provide strong evidence
 that authors from higher income and/or English-speaking countries receive
 significant benefits (a large positive bias) to being identified to
 reviewers during the peer review process, and that anonymizing
 author-identities (e.g., double-blind review) reduces this bias, making
 the peer review process more equitable. We suggest that offering optional
 blinding of author identities, as some journals allow, is unlikely to
 substantially reduce the biases that exist because authors from
 higher-income and English-speaking countries are the least likely to
 choose to be reviewed with their identity anonymized.
DOI: 10.5061/dryad.bg79cnpf6
title: Blowing in the wind: Experimental assessment of clinging performance and behavior in Anolis lizards during hurricane-force winds

description: 1. Extreme weather events, such as hurricanes, can be ecologically
 devastating and cause widespread mortality. Recent studies in Anolis
 lizards report hurricane-induced phenotypic shifts and selection favoring
 morphological variation related to clinging performance. Although it is
 difficult to observe organismal responses during extreme events in nature,
 we can experimentally simulate the high-speed winds associated with
 hurricanes to evaluate the putative mechanism underlying observed patterns
 of natural selection. 2. In this study, we used two laboratory experiments
 to better understand the clinging performance and behavior of Anolis
 lizards when experiencing hurricane-force winds. We assessed the physical
 ability of lizards when using the combined function of their claws, limbs,
 toepads, and other traits to resist forces pulling them off a perch. We
 also evaluated the combination of this physical clinging ability of
 lizards and their behavioral responses to avoid being blown off a perch
 during high winds. We assessed behavior that could decrease exposure of
 lizards to wind and increase their clinging ability. 3. Clinging force
 measurements revealed variation in performance among species and
 substrates not reflected in clinging times for lizards experiencing
 hurricane-force winds, revealing the importance of behavior when
 experiencing high winds. The most arboreal species (A. carolinensis) had
 substantially longer clinging times on rough substrates compared to the
 other species, presumably due to its larger toepads for increased clinging
 as well as its shorter limbs that reduced drag. 4. Under high-speed winds,
 lizards commonly shifted to the more protected leeward side of dowels,
 especially on broad and rough substrates, presumably to reduce exposure.
 This reveals how behavior can mediate factors influencing clinging ability
 during hurricanes and, in conjunction with ecologically relevant variation
 in morphology and substrate properties, contribute to clinging
 performance. 5. Our experiments reveal that behavior strongly influences
 clinging performance during high winds beyond that predicted by physical
 traits alone. Thus, microhabitat selection of perches and the position of
 a lizard on its perch during a hurricane will likely have important
 consequences for clinging performance. This may alter how selection acts
 on morphological traits and influence the susceptibility of different
 species to these extreme weather events.
DOI: 10.11588/duerer.online.697a076a7ae84
title: Christus am Ölberg, https://d-nb.info/gnd/1195238452
DOI: 10.5281/zenodo.18402627
title: Understanding Academic Dishonesty as Deviant Behavior: The Impact of Foreign Language Anxiety and the Mediating Role of Burnout
DOI: 10.5281/zenodo.18402626
title: Understanding Academic Dishonesty as Deviant Behavior: The Impact of Foreign Language Anxiety and the Mediating Role of Burnout
DOI: 10.25349/d9gp7f
title: Data for: Intrinsic spin Hall torque in a moiré Chern magnet

description: In spin torque magnetic memories, electrically actuated spin currents are
 used to switch a magnetic bit. Typically, these require a multilayer
 geometry including both a free ferromagnetic layer and a second layer
 providing spin injection. For example, spin may be injected by a
 non-magnetic layer exhibiting a large spin Hall effect, a phenomenon known
 as spin-orbit torque. Here, we demonstrate a spin-orbit torque magnetic
 bit in a single two-dimensional system with intrinsic magnetism and strong
 Berry curvature. We study AB-stacked MoTe2/WSe2, which hosts a magnetic
 Chern insulator at a carrier density of one hole per moiré superlattice
 site. We observe hysteretic switching of the resistivity as a function of
 applied current. Magnetic imaging reveals that current switches correspond
 to reversals of individual magnetic domains. The real space pattern of
 domain reversals aligns with spin accumulation measured near the high
 Berry curvature Hubbard band edges. This suggests that intrinsic spin- or
 valley-Hall torques drive the observed current-driven magnetic switching
 in both MoTe2/WSe2 and other moiré materials. The switching current
 density is significantly less than those reported in other platforms,
 suggesting moiré heterostructures are a suitable platform for efficient
 control of magnetic order.
DOI: 10.25338/b8nw70
title: Supplemental files to: Probe-based quantitative PCR and RPA-Cas12a molecular diagnostics for detection of the tomato pest Phthorimaea absoluta (Lepidoptera: Gelechiidae)

description: The tomato pest Phthorimaea absoluta Meyrick is highly invasive but has
 not yet invaded North America. However, several morphologically similar
 species are already present, making detection of P. absoluta presence and
 invasion challenging. We designed a quantitative PCR molecular diagnostic
 to differentiate P. absoluta, P. operculella (Zeller), or Keiferia
 lycopersicella (Walsingham) (Lepidoptera: Gelechiidae)  DNA.
 Additionally, we developed an RPA-Cas12a molecular diagnostic that allows
 for the isothermal detection of P. absoluta DNA, eliminating the need for
 a thermocycler. These results can be visualized simply using a UV light
 source and cell phone camera. We expect these diagnostics to improve
 quarantine and prevention measures against this serious agricultural
 threat.
description: File S1 contains the Python script used to identify potential
 Cas12a target sites in <em>Phthorimaea absoluta</em>. File S2
 is a fasta file containing alignments of all three species used to design
 the quantitative PCR diagnostics for two genomic loci. File S3 is a fasta
 file containing alignments of all three species used to design the
 RPA-Cas12a daignostics for two genomic loci and one mitochondrial
 locus. Genome alignment files between the three species
 were obtained from Tabuloc <em>et al. </em>2019 (https://doi.org/10.1007/s10340-019-01116-6). 
description: Python 3 with the "biopython" package is needed to run
 the python script in File S1.
DOI: 10.5061/dryad.z612jm6gb
title: Ecology, sexual dimorphism, and jumping evolution in anurans

description: Sexual dimorphism is a common feature of animals, and selection for
 sexually dimorphic traits may affect both functional morphological traits
 and organismal performance. Trait evolution through natural selection can
 also vary across environments. However, whether the evolution of
 organismal performance is distinct between the sexes is rarely tested in a
 phylogenetic comparative context. Anurans commonly exhibit sexual size
 dimorphism, which may affect jumping performance given the effects of body
 size on locomotion. They also live in a wide variety of microhabitats. Yet
 the relationships among dimorphism, performance, and ecology remain
 underexamined in anurans. Here, we explore relationships between
 microhabitat use, body size, and jumping performance in males and females
 to determine the drivers of dimorphic patterns in jumping performance.
 Using methods for predicting jumping performance through anatomical
 measurements, we describe how fecundity selection and natural selection
 associated with body size and microhabitat have likely shaped female
 jumping performance. We found that the magnitude of sexual size dimorphism
 (where females are about 14% larger than males) was much lower than
 dimorphism in muscle volume, where females had 42% more muscle than males
 (after accounting for body size). Despite these sometimes-large averages,
 phylogenetic t-tests failed to show statistical significance of sexual
 dimorphism for any variable, indicating sexually dimorphic species tend to
 be closely related. While sexual dimorphism of jumping performance did not
 vary among microhabitats, we found female jumping velocity and energy
 differed across microhabitats. Overall, our findings indicate that
 differences in sex-specific reproductive roles, size, jumping-related
 morphology, and performance are all important determinants in how
 selection has led to the incredible ecophenotypic diversity in anurans.
description: This dataset consists of sex identifications, individual linear
 measurements, body mass, estimates of leg muscle volume of many species
 obtained from museum specimens, and museum id and tag information. Muscle
 volumes were estimated using the geometric equations described in Juarez
 and Adams 2021 Evolutionary Ecology. The dataset was processed by
 calculating species means from adult male and female individuals. Please
 see the original manuscript for details on several ways in which the data
 were filtered.
description: Raw values in museums_morph_FINAL.csv do not represent final
 values analyzed in the manuscript. Values in museums_volume_FINAL.csv
 contain individual data from which species means were obtained but please
 read README_museums_volume_FINAL.csv.txt for more details before using.
 Some missing values are included, which are accounted for in the analyses
 as described in the manuscript. The data files may be opened using R or
 any other software that reads .csv files. The code was written in
 R.
DOI: 10.17632/jkrfp9dn5g
title: Integrating GIS-Based Groundwater Potential Mapping and Geophysical Surveys in Fractured Aquifers: a case study in Brazil

description: This dataset was developed to support the study “Decision-Support Mapping for Sustainable Groundwater Use in Fractured Urban Aquifers: A GIS and Geophysical Approach in Brazil” and provides the spatial and geophysical information used to identify groundwater exploitation potential in a heterogeneous fractured aquifer system. The dataset compiles geological, geomorphological, hydrogeological, and geophysical attributes integrated within a Geographic Information System (GIS) framework to produce a groundwater potential map for an urban environment.

This dataset aims to ensure transparency, reproducibility, and reuse of the proposed methodology, enabling other researchers, water managers, and planners to apply, adapt, or compare the approach in similar geological and urban contexts. By reducing uncertainties in well siting and supporting sustainable groundwater management, the dataset contributes to broader efforts toward urban water security and the responsible use of fractured aquifer systems.
DOI: 10.17632/jkrfp9dn5g.3
title: Integrating GIS-Based Groundwater Potential Mapping and Geophysical Surveys in Fractured Aquifers: a case study in Brazil

description: This dataset was developed to support the study “Decision-Support Mapping for Sustainable Groundwater Use in Fractured Urban Aquifers: A GIS and Geophysical Approach in Brazil” and provides the spatial and geophysical information used to identify groundwater exploitation potential in a heterogeneous fractured aquifer system. The dataset compiles geological, geomorphological, hydrogeological, and geophysical attributes integrated within a Geographic Information System (GIS) framework to produce a groundwater potential map for an urban environment.

This dataset aims to ensure transparency, reproducibility, and reuse of the proposed methodology, enabling other researchers, water managers, and planners to apply, adapt, or compare the approach in similar geological and urban contexts. By reducing uncertainties in well siting and supporting sustainable groundwater management, the dataset contributes to broader efforts toward urban water security and the responsible use of fractured aquifer systems.