cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kcads2
title: Occurrence Download

description: A dataset containing 386697 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Angola"
 ]
}

 The dataset includes 386697 records from 845 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059561-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k98ras
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucteniza Ausserer, 1875"
 ]
}

 The dataset includes 409 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059579-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2108961647
title: Thermal Behaviour of iron-rich black-to-brown glazes related to ancient Jian and Yaozhou wares

description: Black-to-brown glazes from the Song Dynasty constitutes an interesting group in Chinese glazed ceramics, as they were manufactured all across the Empire in many different kilns, each with their specific firing conditions and raw materials. In spite of this diversity, all glazes systematically contain dendritic crystals of ε-Fe2O3, an uncommon Fe2O3 polymorph, which gives them their specific brown hue. In some cases, flower-like structures composed of mullite and hexagonal cordierite crystals are also present. This study focuses on the thermal behaviour of three different raw materials collected from the Shaanxi and Fujian provinces to understand the complex chemistry that leads to the growth of these different phases. It combines is situ monitoring of the materials during firing by synchrotron X-ray powder diffraction and ex-situ multi-technique analysis of samples fired under different conditions. Results show that indialite/cordierite grows during the heating stage of the firing when the glaze begins to melt and that the atmosphere of the firing controls the substitution of magnesium by iron. We also highlight that for a given raw material composition, hematite and ε-Fe2O3 growth can be adjusted through the control of the firing atmosphere and total duration: ε-Fe2O3 is favoured in calcium-rich materials fired under a less reducing atmosphere, while hematite is favoured in other materials subjected to longer firings.
DOI: 10.15468/dl.g555hk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplochromis xenognathus Greenwood, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((11.254 -15.728,11.232 -15.9401,19.1382 -15.9401,19.1382 -6.9401,12.1951 -6.9401,12.344 -7.1754,12.8488 -8.4495,12.5495 -8.8082,12.5162 -9.2401,13.3445 -11.0815,13.2057 -11.9763,12.5854 -12.4817,12.0545 -13.266,11.8142 -14.5077,11.254 -15.728))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059580-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15704122
title: SiccITàLY

description: Gli indici di siccità sono rappresentazioni del deficit (e dell’eccesso) idrico rispetto ai dati storici. Il terzo progetto dal nome SiccITàLY è stato pensato e sviluppato con GEE (Google Earth Engine), da specifici script forniti dal programma NASA-ARSET e il supporto dell'Intelligenza Artificiale Generativa. Il nuovo servizio open data vuole contribuire nell'aiutare le autorità governative nel prendere decisioni sulla gestione consapevole della risorsa idrica, come risposta agli eventi siccitosi, analizzare la frequenza del fenomeno, la gravità e durata per una determinata area e periodo.
DOI: 10.15468/dl.87eryf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematococcus J.von Flotow, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059581-250525065834625/datasets/export for details.
DOI: 10.15468/dl.cbxpay
title: Occurrence Download

description: A dataset containing 74035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Popillia japonica Newman, 1838"
 ]
}

 The dataset includes 74035 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059570-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgtvv6
title: Occurrence Download

description: A dataset containing 5156265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.07113 41.09753,-1.9758 41.10573,-1.84576 41.05046,-1.69342 40.93173,-1.68315 40.85054,-1.61312 40.79567,-1.61629 40.64257,-1.69906 40.64353,-1.74686 40.61703,-1.76051 40.51808,-1.86824 40.4291,-1.85767 40.35693,-1.78768 40.32018,-1.7888 40.25713,-1.75403 40.22973,-1.68352 40.22895,-1.55617 40.13734,-1.50903 40.14575,-1.50962 40.11873,-1.46331 40.0911,-1.29914 40.08881,-1.19434 40.06019,-1.23043 40.02471,-1.23159 39.97969,-1.19765 39.93412,-1.16304 39.91556,-0.97568 39.92144,-0.97779 39.84941,-0.92074 39.80336,-0.85098 39.79307,-0.75615 39.83632,-0.73071 39.89889,-0.77601 39.94481,-0.69232 39.99723,-0.57432 40.02184,-0.49814 40.18237,-0.3321 40.2237,-0.28154 40.3126,-0.22165 40.33819,-0.21869 40.41018,-0.2415 40.42874,-0.20506 40.45489,-0.20319 40.49988,-0.23559 40.57272,-0.23262 40.64471,-0.1728 40.66127,-0.17051 40.71526,0.06725 40.64062,0.10152 40.66851,0.20749 40.68013,0.34469 40.80046,0.31701 40.8989,0.3623 40.95399,0.36086 40.98998,0.34682 41.0437,0.28555 41.08731,0.44717 41.2171,0.4563 41.28935,0.43138 41.31582,0.4412 41.37008,0.4166 41.38754,0.41445 41.44153,0.46159 41.4606,0.51865 41.53389,0.49087 41.63236,0.41819 41.64876,0.40511 41.67548,0.45169 41.71255,0.49973 41.71361,0.53369 41.76838,0.59346 41.77865,0.67502 41.85238,0.67175 41.94238,0.73042 41.98858,0.78511 42.15175,0.77175 42.18752,0.83945 42.3329,0.78587 42.47597,0.82078 42.52166,0.82889 42.63889,0.67862 42.744,0.32542 42.71828,0.32349 42.76326,0.23723 42.77922,0.06673 42.76597,0.0558 42.73868,0 42.71922,0 42.6922,-0.04573 42.69339,-0.15176 42.77712,-0.15052 42.80411,-0.19979 42.79632,-0.2711 42.84306,-0.35667 42.84507,-0.38264 42.80965,-0.43189 42.80176,-0.51633 42.83064,-0.52999 42.79492,-0.55442 42.79544,-0.66099 42.88772,-0.72217 42.88895,-0.71985 42.95194,-0.74369 42.97042,-0.86716 42.94577,-0.91858 42.87468,-0.9207 42.81169,-0.99607 42.75,-1.05714 42.75105,-1.10763 42.69786,-1.18084 42.69905,-1.24338 42.64599,-1.24414 42.61899,-1.30557 42.6019,-1.35573 42.5486,-1.35738 42.48559,-1.40695 42.45027,-1.42159 42.35141,-1.45866 42.32489,-1.4602 42.26187,-1.48487 42.24419,-1.46413 42.09982,-1.40503 42.04497,-1.44303 41.97344,-1.55182 41.96586,-1.61117 42.01163,-1.69568 42.01262,-1.71929 42.0399,-1.81559 42.05895,-1.87601 42.05956,-1.91272 42.03289,-1.92722 41.88892,-1.89184 41.84355,-1.91729 41.76274,-1.86966 41.73526,-1.87013 41.70824,-1.95513 41.655,-2.05146 41.63782,-2.06451 41.56587,-2.04079 41.54766,-2.04172 41.48462,-2.13742 41.49439,-2.23484 41.35996,-2.21331 41.16165,-2.07113 41.09753),(-0.73855 40.01615,-0.7387 40.01167,-0.73853 40.01678,-0.73855 40.01615))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5156265 records from 1074 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059517-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub2kqy
title: Occurrence Download

description: A dataset containing 5078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.565747 65.07073733333334, 2.479608666666667 65.07073733333334, 2.479608666666667 82.15736799999999, -31.565747 82.15736799999999, -31.565747 65.07073733333334))",
 "EventDate is 2019-08-01,2019-08-31"
 ]
}

 The dataset includes 5078 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032204-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgaz52
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoolock Mootnick & Groves, 2005"
 ]
}

 The dataset includes 217 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007453-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnqurd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Argyroneta aquatica (Clerck, 1757)",
 "Year 2022-2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031109-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq2eq8
title: Occurrence Download

description: A dataset containing 1822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pluchea sagittalis (Lam.) Cabrera"
 ]
}

 The dataset includes 1822 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007453-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8a353p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Christiopteris tricuspis (Hook.) Christ"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024039-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwogl4
title: Occurrence Download

description: A dataset containing 13849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Elymus farctus (Viv.) Runemark ex Melderis"
 ]
}

 The dataset includes 13849 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007454-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10234379
title: Supplementary Material for "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control"

description: Supplementary material for the paper "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control" 
The paper is submitted to "International Conference on Dependable Systems and Networks, 2024". Author names withheld for double-blind reviewing.

The file proofs_and_hyperparameters.pdf contains proofs of Theorem 1--2 and Corollary 1 in the paper. It also includes formulas for computing the belief state (Eq. 4) and for computing the curves in Fig. 6. It also includes a complete list of hyperparameters used for all experiments detailed in the paper.
The file ids_alerts_statistics.json contains the statistics used to produce Fig. 10 in the paper and to define the parameter Z for the experiments in section VIII.

The JSON file contains a single object with the following keys: 'conditionals_counts', 'conditionals_kl_divergences', 'conditionals_probs', 'conditions', 'descr', 'emulation_name', 'id', 'initial_distributions_counts', 'initial_distributions_probs', 'initial_maxs', 'initial_means', 'initial_mins', 'initial_stds', 'maxs', 'means', 'metrics', 'mins', 'num_conditions', 'num_measurements', 'num_metrics', 'stds'. 
The key "conditionals_counts" leads to another object with the following keys: 'A:CVE-2010-0426 exploit_D:Continue_M:[]', 'A:CVE-2015-3306 exploit_D:Continue_M:[]', 'A:CVE-2015-5602 exploit_D:Continue_M:[]', 'A:CVE-2016-10033 exploit_D:Continue_M:[]', 'A:Continue_D:Continue_M:[]', 'A:DVWA SQL Injection Exploit_D:Continue_M:[]', 'A:FTP dictionary attack for username=pw_D:Continue_M:[]', 'A:Ping Scan_D:Continue_M:[]', 'A:SSH dictionary attack for username=pw_D:Continue_M:[]', 'A:Sambacry Explolit_D:Continue_M:[]', 'A:ShellShock Explolit_D:Continue_M:[]', 'A:TCP SYN (Stealth) Scan_D:Continue_M:[]', 'A:Telnet dictionary attack for username=pw_D:Continue_M:[]', 'intrusion', 'no_intrusion'
The above keys correspond to different types of intrusions, see Table 6 in the paper.
Each of the keys listed above leads to a new object with 1551 keys which correspond to different types of metrics collected from the infrastructure. The metric used for produce Fig. 10 in the paper is called "alerts_weighted_by_priority". This key leads to another object where the keys correspond to the number of alerts weighted by priority and the values correspond to the measurements from the system.
The file intrusion_traces.zip contains 6400 intrusion traces. Each trace contains a list of attacker actions and the corresponding measurements from the system. When unzipped, it is a directory with 64 files which take up 1500GB. Each file contains 100 traces in JSON format.
The file source_code_and_docker_files.zip contains the source code and the docker containers used for the experiments. It is a system we have developed for 3 years. It includes 225,000 lines of Python, 40,000 lines of JavaScript, 3000 lines of Dockerfiles, 2500 lines of Makefile, and 1800 lines of Bash. When unzipped one can find documentation about the source code in a file called "documentation.pdf" and in the README file.
DOI: 10.15468/dl.ewp9mf
title: Occurrence Download

description: A dataset containing 2039 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maytenus undata (Thunb.) Blakelock"
 ]
}

 The dataset includes 2039 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019250-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpqe9k
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Festuca olgae (Regel) Krivot."
 ]
}

 The dataset includes 255 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007454-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10215950
title: Supplementary Material for "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control"

description: Supplementary material for the paper "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control" 
The paper is submitted to "International Conference on Dependable Systems and Networks, 2024". Author names withheld for double-blind reviewing.

The file proofs_and_hyperparameters.pdf contains proofs of Theorem 1--2 and Corollary 1 in the paper. It also includes formulas for computing the belief state (Eq. 4) and for computing the curves in Fig. 6. It also includes a complete list of hyperparameters used for all experiments detailed in the paper.
The file ids_alerts_statistics.json contains the statistics used to produce Fig. 10 in the paper and to define the parameter Z for the experiments in section VIII.

The JSON file contains a single object with the following keys: 'conditionals_counts', 'conditionals_kl_divergences', 'conditionals_probs', 'conditions', 'descr', 'emulation_name', 'id', 'initial_distributions_counts', 'initial_distributions_probs', 'initial_maxs', 'initial_means', 'initial_mins', 'initial_stds', 'maxs', 'means', 'metrics', 'mins', 'num_conditions', 'num_measurements', 'num_metrics', 'stds'. 
The key "conditionals_counts" leads to another object with the following keys: 'A:CVE-2010-0426 exploit_D:Continue_M:[]', 'A:CVE-2015-3306 exploit_D:Continue_M:[]', 'A:CVE-2015-5602 exploit_D:Continue_M:[]', 'A:CVE-2016-10033 exploit_D:Continue_M:[]', 'A:Continue_D:Continue_M:[]', 'A:DVWA SQL Injection Exploit_D:Continue_M:[]', 'A:FTP dictionary attack for username=pw_D:Continue_M:[]', 'A:Ping Scan_D:Continue_M:[]', 'A:SSH dictionary attack for username=pw_D:Continue_M:[]', 'A:Sambacry Explolit_D:Continue_M:[]', 'A:ShellShock Explolit_D:Continue_M:[]', 'A:TCP SYN (Stealth) Scan_D:Continue_M:[]', 'A:Telnet dictionary attack for username=pw_D:Continue_M:[]', 'intrusion', 'no_intrusion'
The above keys correspond to different types of intrusions, see Table 6 in the paper.
Each of the keys listed above leads to a new object with 1551 keys which correspond to different types of metrics collected from the infrastructure. The metric used for produce Fig. 10 in the paper is called "alerts_weighted_by_priority". This key leads to another object where the keys correspond to the number of alerts weighted by priority and the values correspond to the measurements from the system.
The file intrusion_traces.zip contains 6400 intrusion traces. Each trace contains a list of attacker actions and the corresponding measurements from the system. When unzipped, it is a directory with 64 files which take up 1500GB. Each file contains 100 traces in JSON format.
The file source_code_and_docker_files.zip contains the source code and the docker containers used for the experiments. It is a system we have developed for 3 years. It includes 225,000 lines of Python, 40,000 lines of JavaScript, 3000 lines of Dockerfiles, 2500 lines of Makefile, and 1800 lines of Bash. When unzipped one can find documentation about the source code in a file called "documentation.pdf" and in the README file.
DOI: 10.5281/zenodo.10706475
title: Supplementary Material for "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control"

description: Supplementary material for the paper "Intrusion Tolerance for Networked Systems Through Two-Level Feedback Control" 
The paper is submitted to "International Conference on Dependable Systems and Networks, 2024". Author names withheld for double-blind reviewing.

The file proofs_and_hyperparameters.pdf contains proofs of Theorem 1--2 and Corollary 1 in the paper. It also includes formulas for computing the belief state (Eq. 4) and for computing the curves in Fig. 6. It also includes a complete list of hyperparameters used for all experiments detailed in the paper.
The file ids_alerts_statistics.json contains the statistics used to produce Fig. 10 in the paper and to define the parameter Z for the experiments in section VIII.

The JSON file contains a single object with the following keys: 'conditionals_counts', 'conditionals_kl_divergences', 'conditionals_probs', 'conditions', 'descr', 'emulation_name', 'id', 'initial_distributions_counts', 'initial_distributions_probs', 'initial_maxs', 'initial_means', 'initial_mins', 'initial_stds', 'maxs', 'means', 'metrics', 'mins', 'num_conditions', 'num_measurements', 'num_metrics', 'stds'. 
The key "conditionals_counts" leads to another object with the following keys: 'A:CVE-2010-0426 exploit_D:Continue_M:[]', 'A:CVE-2015-3306 exploit_D:Continue_M:[]', 'A:CVE-2015-5602 exploit_D:Continue_M:[]', 'A:CVE-2016-10033 exploit_D:Continue_M:[]', 'A:Continue_D:Continue_M:[]', 'A:DVWA SQL Injection Exploit_D:Continue_M:[]', 'A:FTP dictionary attack for username=pw_D:Continue_M:[]', 'A:Ping Scan_D:Continue_M:[]', 'A:SSH dictionary attack for username=pw_D:Continue_M:[]', 'A:Sambacry Explolit_D:Continue_M:[]', 'A:ShellShock Explolit_D:Continue_M:[]', 'A:TCP SYN (Stealth) Scan_D:Continue_M:[]', 'A:Telnet dictionary attack for username=pw_D:Continue_M:[]', 'intrusion', 'no_intrusion'
The above keys correspond to different types of intrusions, see Table 6 in the paper.
Each of the keys listed above leads to a new object with 1551 keys which correspond to different types of metrics collected from the infrastructure. The metric used for produce Fig. 10 in the paper is called "alerts_weighted_by_priority". This key leads to another object where the keys correspond to the number of alerts weighted by priority and the values correspond to the measurements from the system.
The file intrusion_traces.zip contains 6400 intrusion traces. Each trace contains a list of attacker actions and the corresponding measurements from the system. When unzipped, it is a directory with 64 files which take up 1500GB. Each file contains 100 traces in JSON format.
The file source_code_and_docker_files.zip contains the source code and the docker containers used for the experiments. It is a system we have developed for 3 years. It includes 225,000 lines of Python, 40,000 lines of JavaScript, 3000 lines of Dockerfiles, 2500 lines of Makefile, and 1800 lines of Bash. When unzipped one can find documentation about the source code in a file called "documentation.pdf" and in the README file.
DOI: 10.15468/dl.dygjfv
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Humboldtia brunonis Wall."
 ]
}

 The dataset includes 151 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031115-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oiz41m
title: Occurrence Download

description: A dataset containing 5294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoridae",
 "Country is Peru"
 ]
}

 The dataset includes 5294 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007454-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97csu6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Calymmodon asiaticus Copel."
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024032-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.