cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7956980
title: Data from: Phylogeny and systematics of the "Pronophila clade", with two new genera to resolve the formerly polyphyletic genus Pseudomaniola (Lepidoptera: Nymphalidae, Satyrinae)

description: Analysis of a target enrichment molecular dataset confirms the monophyly of the Neotropical montane butterfly group known as the Pronophila Westwood clade, one of two major lineages of the satyrine subtribe Pronophilina. The Pronophila clade comprises 18-20 recognized genera and some 125 species. Within this group, the genus PseudomaniolaRöber appears as paraphyletic, and is split here into three genera, Pseudomaniola sensu novum with six species, including four previously considered as subspecies of P. phaselis (Hewitson), the monobasic Fahraeusia Pyrcz n. gen. for Catargynnis asuba Thieme, n. comb., and Boyeriana Pyrcz, Espeland & Willmott n. gen., with nine species. The adults of all three genera can be recognized by their wing colour patterns, but the strongest synapomorphies are found in the genitalia, especially those of the male, supporting the above systematic decisions. Notable differences are also found in scale organization and morphology. A divergence time analysis suggests that Fahraeusia diverged from Pseudomaniola +Boyeriana in the mid-Miocene, around 12 Mya, and the subsequent separation of the last two genera occurred at the start of the Pliocene at around 5 Mya.
DOI: 10.5281/zenodo.10834781
title: Sensor Data from Halki's Town Hall

description: The data that the pilot gets from the sensor installed in the Halki's Town hall. This dataset contains energy data, consumption etc.
DOI: 10.5281/zenodo.10834782
title: Sensor Data from Halki's Town Hall

description: The data that the pilot gets from the sensor installed in the Halki's Town hall. This dataset contains energy data, consumption etc.
DOI: 10.5281/zenodo.10834791
title: Sensor Data from Halki's Town Hall

description: The data that the pilot gets from the sensor installed in the Halki's Town hall. This dataset contains energy data, consumption etc.
DOI: 10.34740/kaggle/dsv/7878007
title: PlantDoc Classification dataset
DOI: 10.5281/zenodo.10834797
title: Δρομολόγια πλοίων
title: Ship routes

description: Δρομολόγια πλοίων από και προς τη Χάλκη
DOI: 10.5281/zenodo.10834798
title: Δρομολόγια πλοίων
title: Ship routes

description: Δρομολόγια πλοίων από και προς τη Χάλκη
DOI: 10.5281/zenodo.10834808
title: Weather Data - Halki

description: Weather data from the time that sensor was installed.
DOI: 10.5281/zenodo.10834809
title: Weather Data - Halki

description: Weather data from the time that sensor was installed.
DOI: 10.48328/tudatalib-1389
title: Data and code: Motility-induced coexistence of a hot liquid and a cold gas

description: If two phases exist at the same time, such as a gas and a liquid, they have the same temperature. This fundamental law of equilibrium physics is known to apply even to many non-equilibrium systems. However, recently, there has been much attention in the finding that inertial self-propelled particles like Janus colloids in a plasma or microflyers could self-organize into a hot gas-like phase that coexists with a colder liquid-like phase. With the data and code provided here, we show that a kinetic temperature difference across coexisting phases can occur even in equilibrium systems when adding generic (overdamped) self-propelled particles. In particular, we consider mixtures of overdamped active and inertial passive Brownian particles and show that when they phase separate into a dense and a dilute phase, both phases have different kinetic temperatures. Surprisingly, we find that the dense phase (liquid) cannot only be colder but also hotter than the dilute phase (gas). This effect hinges on correlated motions where active particles collectively push and heat up passive ones primarily within the dense phase. Our results answer the fundamental question if a non-equilibrium gas can be colder than a coexisting liquid and create a route to equip matter with self-organized domains of different kinetic temperatures.
DOI: 10.5281/zenodo.10815372
title: NOAA PSL thermodynamic profiles retrieved from a combination of active and passive remote sensors and numerical weather prediction models with the optimal estimation physical retrieval TROPoe at Platteville, CO, USA

description: This dataset contains retrieved profiles of thermodynamic variables obtained using the Tropospheric Remotely Observed Profiling via Optimal Estimation (TROPoe) physical retrieval from various combinations of input data collected by passive and active remote sensing instruments, in-situ surface platforms, and numerical weather prediction models deployed at the Platteville, CO, USA, site in fall 20221-winter 2022. Among the employed instruments are Microwave Radiometers (MWRs), Infrared Spectrometers (IRS), Radio Acoustic Sounding Systems (RASS), ceilometers, surface sensors, and information from the operational Rapid Refresh numerical weather prediction model.

The dataset also includes 15 radiosounding launched for assessing the retrievals.

For further information, please see:

Bianco, L., Adler, B., Bariteau, L., Djalalova, I. V., Myers, T., Pezoa, S., Turner, D. D., and Wilczak, J. M.: Sensitivity of thermodynamic profiles retrieved from ground-based microwave and infrared observations to additional input data from active remote sensing instruments and numerical weather prediction models, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-263, in review, 2024.
DOI: 10.5281/zenodo.10834848
title: Cittadini Stranieri. Popolazione residente al 31 dicembre 2018

description: Cittadini Stranieri. Popolazione residente al 31 dicembre 2018 in Italia.
DOI: 10.5281/zenodo.10834849
title: Cittadini Stranieri. Popolazione residente al 31 dicembre 2018

description: Cittadini Stranieri. Popolazione residente al 31 dicembre 2018 in Italia.
DOI: 10.5281/zenodo.10829815
title: NoiseprintAndDeNoiCNN_KaggleDataset
DOI: 10.5281/zenodo.10829816
title: NoiseprintAndDeNoiCNN_KaggleDataset
DOI: 10.5281/zenodo.10834820
title: rubia_tenuifolia_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10834821
title: rubia_tenuifolia_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25425721.v2
title: <b>Genetic interaction mapping reveals functional relationships between peptidoglycan endopeptidases and carboxypeptidases</b>

description: Peptidoglycan (PG) is the main component of the bacterial cell wall; it maintains cell shape while protecting the cell from internal osmotic pressure and external environmental challenges. PG synthesis is essential for bacterial growth and survival, and a series of PG modifications are required to allow expansion of the sacculus. Endopeptidases (EPs), for example, cleave the crosslinks between adjacent PG strands to allow the incorporation of newly synthesized PG. EPs are collectively essential for bacterial growth and must likely be carefully regulated to prevent sacculus degradation and cell death. However, EP regulation mechanisms are poorly understood. Here, we used TnSeq to uncover novel EP regulators in <i>Vibrio cholerae</i>. This screen revealed that the carboxypeptidase DacA1 (PBP5) alleviates EP toxicity. <i>dacA1</i> is essential for viability on LB medium, and this essentiality was suppressed by EP overexpression, revealing that EP toxicity both mitigates, and is mitigated by, a defect in <i>dacA1</i>. A subsequent suppressor screen to restore viability of <i>∆dacA1</i> in LB medium identified hypomorphic mutants in the PG synthesis pathway, as well as mutations that promote EP activation. Our data thus reveal a more complex role of DacA1 in maintaining PG homeostasis than previously assumed.
DOI: 10.6084/m9.figshare.24910803
title: Experiment 1: Results of numerical experiments for the small network from Fig. 2

description: The 'Ex_1.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_1.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_J, rel_A, rel_B, rel_L, rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: DOI: 10.1109/TR.2008.920792, DOI: 10.1109/TR.1985.5222235, DOI: 10.1109/TR.2020.2988987, the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=1,2, respectively;tim_J, tim_A, tim_B, tim_L, tim_Lp, tim_K1, tim_K2 - the running times of algorithms: DOI: 10.1109/TR.2008.920792, DOI: 10.1109/TR.1985.5222235, DOI: 10.1109/TR.2020.2988987, the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=1,2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br><br>
DOI: 10.6084/m9.figshare.24910803.v1
title: Results of numerical experiments for the small network

description: The system demand requirement is denoted by d and the number of all d-MPs is denoted by #d − M P s. The two-terminal network reliability is denoted by R. The running times of the parallel SSD algorithm [18], the serial bounding algorithm [19] with the accuracy of the reliability bound γ = 0.01, 0, and the presented algorithm are expressed in seconds [s] and denoted by T_B , T_L, T_L0 , and T_K , respectively. Moreover, there are presented the running time [s] of the chunk of the presented algorithm responsible for determining all d-MPs and lower bounds for the network reliability – T_d, as well as the running time [s] T_N of the algorithm [6] also determining all d-MPs
DOI: 10.6084/m9.figshare.24910860
title: Experiment 1: Results of numerical experiments for the moderate network from Fig. 2

description: The 'Ex_2.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_2.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_L, rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=1,2, respectively;tim_L, tim_Lp, tim_K1, tim_K2 - the running times of algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=1,2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br><br>
DOI: 10.6084/m9.figshare.24910860.v2
title: Experiment 1: Results of numerical experiments for the moderate network from Fig. 2

description: The 'Ex_2.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_2.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_L, rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=1,2, respectively;tim_L, tim_Lp, tim_K1, tim_K2 - the running times of algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=1,2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br><br>
DOI: 10.6084/m9.figshare.24910860.v1
title: Results of numerical experiments for the moderate network

description: The system demand requirement is denoted by d and the number of all d-MPs is denoted by #d − M P s. The two-terminal network reliability is denoted by R. The running times of the parallel SSD algorithm [18], the serial bounding algorithm [19] with the accuracy of the reliability bound γ = 0.01, 0, and the presented algorithm are expressed in seconds [s] and denoted by T_B , T_L, T_L0 , and T_K , respectively. Moreover, there are presented the running time [s] of the chunk of the presented algorithm responsible for determining all d-MPs and lower bounds for the network reliability – T_d, as well as the running time [s] T_N of the algorithm [6] also determining all d-MPs
DOI: 10.6084/m9.figshare.24910863
title: Experiment 1: Results of numerical experiments for the large network from Fig. 5

description: The 'Ex_3.2.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_3.2.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=2, respectively;tim_Lp, tim_K1, tim_K2 - the running times of algorithms: the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br>
DOI: 10.6084/m9.figshare.24910863.v2
title: Experiment 1: Results of numerical experiments for the large network from Fig. 5

description: The 'Ex_3.2.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_3.2.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=2, respectively;tim_Lp, tim_K1, tim_K2 - the running times of algorithms: the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br>
DOI: 10.6084/m9.figshare.24910863.v1
title: Results of numerical experiments for the large network

description: The system demand requirement is denoted by d and the number of all d-MPs is denoted by #d − M P s. The two-terminal network reliability is denoted by R. The running times of the parallel SSD algorithm [18], the serial bounding algorithm [19] with the accuracy of the reliability bound γ = 0.01, 0, and the presented algorithm are expressed in seconds [s] and denoted by T_B , T_L, T_L0 , and T_K , respectively. Moreover, there are presented the running time [s] of the chunk of the presented algorithm responsible for determining all d-MPs and lower bounds for the network reliability – T_d, as well as the running time [s] T_N of the algorithm [6] also determining all d-MPs
DOI: 10.6084/m9.figshare.25425721
title: <b>Genetic interaction mapping reveals functional relationships between peptidoglycan endopeptidases and carboxypeptidases</b>

description: Peptidoglycan (PG) is the main component of the bacterial cell wall; it maintains cell shape while protecting the cell from internal osmotic pressure and external environmental challenges. PG synthesis is essential for bacterial growth and survival, and a series of PG modifications are required to allow expansion of the sacculus. Endopeptidases (EPs), for example, cleave the crosslinks between adjacent PG strands to allow the incorporation of newly synthesized PG. EPs are collectively essential for bacterial growth and must likely be carefully regulated to prevent sacculus degradation and cell death. However, EP regulation mechanisms are poorly understood. Here, we used TnSeq to uncover novel EP regulators in <i>Vibrio cholerae</i>. This screen revealed that the carboxypeptidase DacA1 (PBP5) alleviates EP toxicity. <i>dacA1</i> is essential for viability on LB medium, and this essentiality was suppressed by EP overexpression, revealing that EP toxicity both mitigates, and is mitigated by, a defect in <i>dacA1</i>. A subsequent suppressor screen to restore viability of <i>∆dacA1</i> in LB medium identified hypomorphic mutants in the PG synthesis pathway, as well as mutations that promote EP activation. Our data thus reveal a more complex role of DacA1 in maintaining PG homeostasis than previously assumed.
DOI: 10.6084/m9.figshare.25425721.v4
title: <b>Genetic interaction mapping reveals functional relationships between peptidoglycan endopeptidases and carboxypeptidases</b>

description: Peptidoglycan (PG) is the main component of the bacterial cell wall; it maintains cell shape while protecting the cell from internal osmotic pressure and external environmental challenges. PG synthesis is essential for bacterial growth and survival, and a series of PG modifications are required to allow expansion of the sacculus. Endopeptidases (EPs), for example, cleave the crosslinks between adjacent PG strands to allow the incorporation of newly synthesized PG. EPs are collectively essential for bacterial growth and must likely be carefully regulated to prevent sacculus degradation and cell death. However, EP regulation mechanisms are poorly understood. Here, we used TnSeq to uncover novel EP regulators in <i>Vibrio cholerae</i>. This screen revealed that the carboxypeptidase DacA1 (PBP5) alleviates EP toxicity. <i>dacA1</i> is essential for viability on LB medium, and this essentiality was suppressed by EP overexpression, revealing that EP toxicity both mitigates, and is mitigated by, a defect in <i>dacA1</i>. A subsequent suppressor screen to restore viability of <i>∆dacA1</i> in LB medium identified hypomorphic mutants in the PG synthesis pathway, as well as mutations that promote EP activation. Our data thus reveal a more complex role of DacA1 in maintaining PG homeostasis than previously assumed.
DOI: 10.6084/m9.figshare.25425721.v3
title: <b>Genetic interaction mapping reveals functional relationships between peptidoglycan endopeptidases and carboxypeptidases</b>

description: Peptidoglycan (PG) is the main component of the bacterial cell wall; it maintains cell shape while protecting the cell from internal osmotic pressure and external environmental challenges. PG synthesis is essential for bacterial growth and survival, and a series of PG modifications are required to allow expansion of the sacculus. Endopeptidases (EPs), for example, cleave the crosslinks between adjacent PG strands to allow the incorporation of newly synthesized PG. EPs are collectively essential for bacterial growth and must likely be carefully regulated to prevent sacculus degradation and cell death. However, EP regulation mechanisms are poorly understood. Here, we used TnSeq to uncover novel EP regulators in <i>Vibrio cholerae</i>. This screen revealed that the carboxypeptidase DacA1 (PBP5) alleviates EP toxicity. <i>dacA1</i> is essential for viability on LB medium, and this essentiality was suppressed by EP overexpression, revealing that EP toxicity both mitigates, and is mitigated by, a defect in <i>dacA1</i>. A subsequent suppressor screen to restore viability of <i>∆dacA1</i> in LB medium identified hypomorphic mutants in the PG synthesis pathway, as well as mutations that promote EP activation. Our data thus reveal a more complex role of DacA1 in maintaining PG homeostasis than previously assumed.
DOI: 10.5281/zenodo.10834872
title: Madrid Grid Area Buildings + Reachable Endpoints for Given RF Transmitter Location and Parameters, with and without RISs Installation.

description: 1- The obstacles_save folder contains arrays defining the vertices locations (x,y) of buildings in the considered area in Madrid Grid.

A transmitter is placed at the center of a square at location [600, 900]. Possible receiver (or relay trasnceivers) locations are defined as the vertices (i.e., corners) of buildings (from previous list). The goal of the simulation is to find how many hops are needed to reach, if possible, each location from the previously mentioned list of vertices, assuming a maximum allowed path loss value of 90 dB between any two consecutive hops. 

2- The arrays in no_ris specify the vertices reachable within N sucessive hops, when no RIS is installed in the area.

3- Similarly, the arrays in double_ris give the coordinates of vertices reachable with N hops when a two RISs are installed in the middle square(as shown in related paper).

The RIS beamforming gain is 20 dB (in Table 1 in the paper the gain should be 20 not 15 dB).
DOI: 10.5281/zenodo.10834873
title: Madrid Grid Area Buildings + Reachable Endpoints for Given RF Transmitter Location and Parameters, with and without RISs Installation.

description: 1- The obstacles_save folder contains arrays defining the vertices locations (x,y) of buildings in the considered area in Madrid Grid.

A transmitter is placed at the center of a square at location [600, 900]. Possible receiver (or relay trasnceivers) locations are defined as the vertices (i.e., corners) of buildings (from previous list). The goal of the simulation is to find how many hops are needed to reach, if possible, each location from the previously mentioned list of vertices, assuming a maximum allowed path loss value of 90 dB between any two consecutive hops. 

2- The arrays in no_ris specify the vertices reachable within N sucessive hops, when no RIS is installed in the area.

3- Similarly, the arrays in double_ris give the coordinates of vertices reachable with N hops when a two RISs are installed in the middle square(as shown in related paper).

The RIS beamforming gain is 20 dB (in Table 1 in the paper the gain should be 20 not 15 dB).
DOI: 10.5281/zenodo.10834738
title: QPE uncertainty assessment over Iowa

description: This repository has several Hydrologic discharge simulation runs made using two QPE products (MRMS and IFC) altered by a multiplicative factor oscillating between 0.1 and 5. The simulations are recorded at the USGS gauges with observations in Iowa between 2015 and 2022. Additionally, we included the performance metrics and the code to generate the analysis developed for the manuscript titled: "Assessing the Impact of Radar-Rainfall Uncertainty on Streamflow Prediction."

The data on this repo contains three compressed files:



hlm_runs.rar: Holds the hydrologic model runs using both QPEs and the multiplicative factor.

performance.rar: It has a summary of the performance metrics and a folder with the raw performance at each gauge.

rainfall.rar: Has the rainfall computed at each watershed using COOP gauges (folder), as well as the results for MRMS and IFCA?


All the data was stored in gzip compressed parquet format using Pandas.