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

description: A dataset containing 10237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus"
 ]
}

 The dataset includes 10237 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sjv8cspsg8.1
title: NanoRod Simulator

description: Just Download and Run Based on the Characteristics of the System.
DOI: 10.6084/m9.figshare.30273824
title: Importance of wastewater-based and environmental surveillance for monitoring resistance to next-generation antibiotics

description: Importance of wastewater-based and environmental surveillance for monitoring resistance to next-generation antibiotics
DOI: 10.6084/m9.figshare.30273824.v1
title: Importance of wastewater-based and environmental surveillance for monitoring resistance to next-generation antibiotics

description: Importance of wastewater-based and environmental surveillance for monitoring resistance to next-generation antibiotics
DOI: 10.15468/dl.xa5ak4
title: Occurrence Download

description: A dataset containing 6636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "Geometry POLYGON((-180 -23,180 -23,180 23,-180 23,-180 -23))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6636 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005711-251120083545085/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.30354190
title: Recombinant <i>lactococcus lactis</i> expressing HPV-16 E6E7 dual antigens for potential cervical cancer treatment enhances dendritic cell vaccines efficacy

description: Anti-tumor vaccines that target the early proteins E6 and E7 of human papillomavirus (HPV) type 16 represent a potential immunotherapy for cervical cancer, although underlying mechanisms remain unclear. Lactococcus lactis (<i>L.L</i>) is generally regarded as safe (GRAS) which has potential as vehicle. Study investigated the immunoregulatory effect of <i>L.L</i> on dendritic cells (DCs) activation. Besides, antigen delivery and anti-tumor effects of DC-based vaccine prepared with recombinant <i>L.L</i> vaccine (<i>L.L</i>-De) carrying prokaryotic-eukaryotic HPV-16 E6E7 fusion antigen were explored. Study performed flow cytometry and MTT to analyze the adjuvant efficacy in promoting DC activation and proliferative capacity of T lymphocytes. The anti-tumor effect of DC vaccine prepared with <i>L.L</i>-De was assessed in C57BL6 tumor model. Recombinant <i>L.L</i> carrying the expression frame for HPV-16 E6E7 fusion protein in prokaryotic-eukaryotic expression systems exhibited antigen-promoting and cross-presenting adjuvant activity successfully. the developed DC-<i>L.L</i>-De vaccine induced antigen-specific Th-1 and cytotoxic T lymphocyte responses, which inhibited TC-1 tumor growth. This study demonstrated that recombinant <i>L.L</i> which carries a dual-expression antigen frame, is a promising vector for tumor antigen delivery.
DOI: 10.6084/m9.figshare.30354190.v1
title: Recombinant <i>lactococcus lactis</i> expressing HPV-16 E6E7 dual antigens for potential cervical cancer treatment enhances dendritic cell vaccines efficacy

description: Anti-tumor vaccines that target the early proteins E6 and E7 of human papillomavirus (HPV) type 16 represent a potential immunotherapy for cervical cancer, although underlying mechanisms remain unclear. Lactococcus lactis (<i>L.L</i>) is generally regarded as safe (GRAS) which has potential as vehicle. Study investigated the immunoregulatory effect of <i>L.L</i> on dendritic cells (DCs) activation. Besides, antigen delivery and anti-tumor effects of DC-based vaccine prepared with recombinant <i>L.L</i> vaccine (<i>L.L</i>-De) carrying prokaryotic-eukaryotic HPV-16 E6E7 fusion antigen were explored. Study performed flow cytometry and MTT to analyze the adjuvant efficacy in promoting DC activation and proliferative capacity of T lymphocytes. The anti-tumor effect of DC vaccine prepared with <i>L.L</i>-De was assessed in C57BL6 tumor model. Recombinant <i>L.L</i> carrying the expression frame for HPV-16 E6E7 fusion protein in prokaryotic-eukaryotic expression systems exhibited antigen-promoting and cross-presenting adjuvant activity successfully. the developed DC-<i>L.L</i>-De vaccine induced antigen-specific Th-1 and cytotoxic T lymphocyte responses, which inhibited TC-1 tumor growth. This study demonstrated that recombinant <i>L.L</i> which carries a dual-expression antigen frame, is a promising vector for tumor antigen delivery.
DOI: 10.15468/dl.w3zbvr
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.367368775199566 54.55984585408618, 17.36771709696533 54.56247301075514, 17.36717675461389 54.56508916833153, 17.36576835774791 54.56759377903503, 17.363545901110434 54.569890566357046, 17.360594709279972 54.57189122882699, 17.357028170382684 54.57351883905479, 17.35298338240379 54.57471080656388, 17.3486158788295 54.57542128955563, 17.34409363718384 54.57562296194005, 17.33959060290185 54.57530806690934, 17.335279980592503 54.57448871604153, 17.33132755418269 54.57319642228365, 17.327885296261126 54.571480885003396, 17.325085515211402 54.56940807439634, 17.323035766981725 54.56705768972971, 17.321814727587526 54.564520090099954, 17.321469184070924 54.561892816635655, 17.322012257347655 54.559276840608796, 17.32342292205655 54.55677268216045, 17.325646838196068 54.55447654894748, 17.328598458991667 54.55247664285828, 17.332164331011064 54.550849776130846, 17.336207457795037 54.549658426050534, 17.340572558759177 54.548948340417994, 17.345092022155168 54.54874678482896, 17.34959232551139 54.54906149831008, 17.353900679977663 54.549880396922674, 17.357851646885678 54.55117203657145, 17.361293475842604 54.55288681747094, 17.36409392377071 54.55495888457767, 17.366145333195476 54.557308651815596, 17.367368775199566 54.55984585408618))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005713-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22eay8
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.3809037112058 54.53457435406322, 17.381252652646364 54.53720157046584, 17.38071344679645 54.539817881571324, 17.379306659751766 54.54232273371687, 17.377086224507636 54.54461984113344, 17.374137388009142 54.54662089006513, 17.370573447839448 54.5482489382815, 17.366531402015084 54.54944137847917, 17.36216667848507 54.55015235069209, 17.357647147747368 54.550354510020654, 17.353146650864204 54.550040080929826, 17.348838294765553 54.549221157074236, 17.344887776172396 54.54792923497304, 17.341446994309884 54.54621399969559, 17.338648200866693 54.544141409820526, 17.33659891393919 54.54179115612769, 17.335377791973084 54.53925359268259, 17.335031625374086 54.53662625923227, 17.335573559196526 54.53401012936836, 17.336982612035694 54.53150572916132, 17.339204505949663 54.52920927557666, 17.34215377192402 54.52720898283027, 17.34571704699169 54.525581678030264, 17.349757434391776 54.52438985530164, 17.354119758655308 54.523679280606345, 17.358636514550945 54.5234772383255, 17.3631342834611 54.52379148617469, 17.367440373765113 54.52460995809175, 17.37138943368866 54.525901226360965, 17.374829786075825 54.527615705453094, 17.377629244621524 54.529687551911785, 17.379680189973453 54.532037188135675, 17.3809037112058 54.53457435406322))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005714-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8f8t7
title: Occurrence Download

description: A dataset containing 7464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dreissena bugensis)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7464 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5td37g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-118.604 34.8747, -118.5997 34.87468, -118.6004 34.87745, -118.6038 34.87734, -118.604 34.8747))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005715-251120083545085/datasets/export for details.
DOI: 10.17632/kntxxpnth4
title: Anxiety in Pregnancy and the Onset of Peripartum Depression: Evidence from Low-Risk Cohorts

description: Background Peripartum depression is a prevalent condition associated with adverse maternal and infant outcomes, but often remains undiagnosed, especially among women without apparent risk factors. Despite growing recognition of the association of anxiety during pregnancy and peripartum depression, routine screening in low-risk populations is not standard practice.

Methods A prospective cohort study was conducted among 214 low-risk pregnant women attending routine obstetric follow-ups at a tertiary hospital in central Israel between June 2020 and February 2021. Participants completed the Perinatal Anxiety Screening Scale and Edinburgh Postnatal Depression Scale prenatally and within six weeks postpartum. Sociodemographic and health-related data, including perceived birth experience, were also collected. Nonparametric tests and regression analyses were used to examine associations between anxiety and depression symptoms, sociodemographic variables, and perceived birth experience.

Results Before birth, 38.8% of the participants reported experiencing anxiety symptoms, with 36.9% continuing to report postpartum anxiety symptoms. The prevalence of depression symptoms increased significantly from before birth (9.8%) to postpartum (15.9%). Prenatal anxiety symptoms significantly predicted postpartum depression symptoms. Perceived birth experience partially mediated the relationship between prenatal anxiety and postpartum depression among women with lower income-to-expenditure ratios.

Conclusion A substantial proportion of low-risk women reported anxiety symptoms during pregnancy, and depression symptoms tended to worsen after childbirth. The significant association detected between prenatal anxiety symptoms and peripartum depression, even among low-risk women, emphasizes the need for public awareness and routine prenatal screening, incorporating psychological and contextual factors. Improving birth experience may help reduce postpartum depression risk especially for socioeconomically disadvantaged women.
DOI: 10.17632/kntxxpnth4.2
title: Anxiety in Pregnancy and the Onset of Peripartum Depression: Evidence from Low-Risk Cohorts

description: Background Peripartum depression is a prevalent condition associated with adverse maternal and infant outcomes, but often remains undiagnosed, especially among women without apparent risk factors. Despite growing recognition of the association of anxiety during pregnancy and peripartum depression, routine screening in low-risk populations is not standard practice.

Methods A prospective cohort study was conducted among 214 low-risk pregnant women attending routine obstetric follow-ups at a tertiary hospital in central Israel between June 2020 and February 2021. Participants completed the Perinatal Anxiety Screening Scale and Edinburgh Postnatal Depression Scale prenatally and within six weeks postpartum. Sociodemographic and health-related data, including perceived birth experience, were also collected. Nonparametric tests and regression analyses were used to examine associations between anxiety and depression symptoms, sociodemographic variables, and perceived birth experience.

Results Before birth, 38.8% of the participants reported experiencing anxiety symptoms, with 36.9% continuing to report postpartum anxiety symptoms. The prevalence of depression symptoms increased significantly from before birth (9.8%) to postpartum (15.9%). Prenatal anxiety symptoms significantly predicted postpartum depression symptoms. Perceived birth experience partially mediated the relationship between prenatal anxiety and postpartum depression among women with lower income-to-expenditure ratios.

Conclusion A substantial proportion of low-risk women reported anxiety symptoms during pregnancy, and depression symptoms tended to worsen after childbirth. The significant association detected between prenatal anxiety symptoms and peripartum depression, even among low-risk women, emphasizes the need for public awareness and routine prenatal screening, incorporating psychological and contextual factors. Improving birth experience may help reduce postpartum depression risk especially for socioeconomically disadvantaged women.
DOI: 10.17632/8t744kp5p5
title: Behavioural assessment of Potamotrygon stingrays under different food enrichment strategies

description: Data used to evaluate the effects of environmental enrichment for three species of rays
DOI: 10.17632/8t744kp5p5.1
title: Behavioural assessment of Potamotrygon stingrays under different food enrichment strategies

description: Data used to evaluate the effects of environmental enrichment for three species of rays
DOI: 10.17632/vwhnkx78bf
title: Enamel regeneration

description: This dataset contains all raw data generated during the study investigating the biomimetic regeneration of demineralized dental enamel using calcium phosphate solution, with or without laser irradiation. Data include measurements of enamel surface microhardness, surface roughness, Ca and P atom %.
DOI: 10.17632/vwhnkx78bf.1
title: Enamel regeneration

description: This dataset contains all raw data generated during the study investigating the biomimetic regeneration of demineralized dental enamel using calcium phosphate solution, with or without laser irradiation. Data include measurements of enamel surface microhardness, surface roughness, Ca and P atom %.
DOI: 10.17632/cnmsk6jrfr.2
title: Decoupling Interfacial Tension Reduction and Wettability Alteration during Surfactant Flooding: A Lattice Boltzmann Approach

description: This is the original data for the manuscript "Decoupling Interfacial Tension Reduction and Wettability Alteration during Surfactant Flooding: A Lattice Boltzmann Approach".
DOI: 10.17632/t9vmmjg3zc
title: interSeg: Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks

description: Dataset used for Training and Benchmarking "Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks" by Prasad*, Rajkumar* et al. To view the methods, preprocessing steps, and analysis, please view the preprint available on bioRxiv (https://doi.org/10.1101/2025.06.23.661188).
DOI: 10.17632/t9vmmjg3zc.1
title: interSeg: Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks

description: Dataset used for Training and Benchmarking "Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks" by Prasad*, Rajkumar* et al. To view the methods, preprocessing steps, and analysis, please view the preprint available on bioRxiv (https://doi.org/10.1101/2025.06.23.661188).
DOI: 10.17632/msg783rh2y
title: Dataset Field Trilateration: SEQCUP performance

description: 1) Displacement_figure_number_of_displacedpoints_point1_point2.xlsx: file containing field data regarding campaigns with simulated displacements. Displacements are represented by figures in the displacement_field.pdf file. The "Control_Epoch2_without_displacement.xlsx" file consists of distance measurements without displacements in both epochs.
DOI: 10.17632/msg783rh2y.2
title: Dataset Field Trilateration: SEQCUP performance

description: 1) Displacement_figure_number_of_displacedpoints_point1_point2.xlsx: file containing field data regarding campaigns with simulated displacements. Displacements are represented by figures in the displacement_field.pdf file. The "Control_Epoch2_without_displacement.xlsx" file consists of distance measurements without displacements in both epochs.
DOI: 10.17632/2b8ts7j66j
title: SEQCUP MATLAB Script

description: - SEQCUP for Trilateration for Field Application: seqcup_trilateration.m

- SEQCUP - Simulation for Levelling: seqcup_level_simulation_example.m
- SEQCUP: seqcup_level_simulation_example2
% This script performs a reproducible Monte Carlo experiment to analyse the
% stepwise behaviour of the SEQCUP procedure on a synthetic levelling network.
% Using a fixed random seed (rng(42)), it generates two-epoch observations with
% Gaussian noise, randomly selects displaced points and displacement magnitudes,
% and applies the SEQCUP sequential testing scheme expansion tests up to q_max). 
%The script classifies each run into correct
% identification, over-identification, under-identification, overlap, or no-solution
% and computes the conditional stepwise false-alarm rate when the current null
% model coincides with the true displaced configuration.

- seqcup_GNSS_baseline_simulation_example.m
 - Monte Carlo calibration of the critical value for the initial SEQCUP stage q=1 
% under the pure null model, using Q_delta in local ENU with 3D correlation per baseline.
% - Post-selection comparisons use a SINGLE ΔSSE statistic: ΔSSE = SSE0 - SSE_A 
% between the current null hypothesis and a higher-dimensional alternative.
% - Everything is "by POINT": each candidate adds/removes a full 3D block (E,N,U) of a station.
% - Full covariance propagation in the local ENU system (ECEF→ENU for both coordinates and covariance matrices).
% - For each displacement magnitude in M_list, the script runs mc Monte Carlo realizations
% and stores empirical identification probabilities and the conditional stepwise false-alarm rate.
% - Random seed is fixed with rng(42) for reproducibility of all Monte Carlo experiments.

- seqcup_structured_full.m: pre-screening tool designed to evaluate the geometric separability and structural admissibility of candidate displacement hypotheses in geodetic networks.

- Dataset for trilateration: Rofatto, Vinicius; Matsuoka, Marcelo; Klein, Ivandro (2025), “Dataset Field Trilateration: SEQCUP performance”, Mendeley Data, V2, doi: 10.17632/msg783rh2y.2
DOI: 10.17632/2b8ts7j66j.1
title: SEQCUP MATLAB Script

description: - SEQCUP for Trilateration for Field Application: seqcup_trilateration.m

- SEQCUP - Simulation for Levelling: seqcup_level_simulation_example.m
- SEQCUP: seqcup_level_simulation_example2
% This script performs a reproducible Monte Carlo experiment to analyse the
% stepwise behaviour of the SEQCUP procedure on a synthetic levelling network.
% Using a fixed random seed (rng(42)), it generates two-epoch observations with
% Gaussian noise, randomly selects displaced points and displacement magnitudes,
% and applies the SEQCUP sequential testing scheme expansion tests up to q_max). 
%The script classifies each run into correct
% identification, over-identification, under-identification, overlap, or no-solution
% and computes the conditional stepwise false-alarm rate when the current null
% model coincides with the true displaced configuration.

- seqcup_GNSS_baseline_simulation_example.m
 - Monte Carlo calibration of the critical value for the initial SEQCUP stage q=1 
% under the pure null model, using Q_delta in local ENU with 3D correlation per baseline.
% - Post-selection comparisons use a SINGLE ΔSSE statistic: ΔSSE = SSE0 - SSE_A 
% between the current null hypothesis and a higher-dimensional alternative.
% - Everything is "by POINT": each candidate adds/removes a full 3D block (E,N,U) of a station.
% - Full covariance propagation in the local ENU system (ECEF→ENU for both coordinates and covariance matrices).
% - For each displacement magnitude in M_list, the script runs mc Monte Carlo realizations
% and stores empirical identification probabilities and the conditional stepwise false-alarm rate.
% - Random seed is fixed with rng(42) for reproducibility of all Monte Carlo experiments.

- seqcup_structured_full.m: pre-screening tool designed to evaluate the geometric separability and structural admissibility of candidate displacement hypotheses in geodetic networks.

- Dataset for trilateration: Rofatto, Vinicius; Matsuoka, Marcelo; Klein, Ivandro (2025), “Dataset Field Trilateration: SEQCUP performance”, Mendeley Data, V2, doi: 10.17632/msg783rh2y.2
DOI: 10.15468/dl.gwx9h4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.436222280780925 54.54324952333743, 17.436574658963902 54.54587655468817, 17.436038698068074 54.54849306564506, 17.43463483936893 54.55099849492747, 17.432416903134797 54.553296534637916, 17.429470040038304 54.55529883522423, 17.425907471580473 54.556928406362616, 17.421866142847243 54.55812258220636, 17.4175014540756 54.55883543604876, 17.41298127435869 54.55903955062333, 17.40847946972558 54.55872707519132, 17.4041691974812 54.55791002826696, 17.400216228175694 54.55661983418942, 17.396772555450788 54.55490611158985, 17.393970542334774 54.552834760908624, 17.391917830870504 54.55048542532231, 17.39069321126091 54.5479484236549, 17.390343608392847 54.54532127412166, 17.390882299347336 54.542704943310945, 17.392288427222304 54.540199965077804, 17.39450782628799 54.537902578651526, 17.39745512316889 54.53590103412774, 17.40101703032411 54.53427220672656, 17.40505670334495 54.533078649067456, 17.409418994061582 54.53236619374408, 17.413936398463065 54.53216219735206, 17.41843547303705 54.53247449263785, 17.42274347610544 54.53329108851288, 17.42669498257964 54.53458062930619, 17.430138221520654 54.536293595843226, 17.43294089593974 54.538364202787264, 17.43499526311656 54.540712920189, 17.436222280780925 54.54324952333743))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yc3h6mfhpk
title: opinion leadership

description: contains data used for research in opinion leadership and seekership and health service utilization, and health and wellbeing
DOI: 10.17632/yc3h6mfhpk.1
title: opinion leadership

description: contains data used for research in opinion leadership and seekership and health service utilization, and health and wellbeing