cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cdqjp5
title: Occurrence Download

description: A dataset containing 33784 records in GBIF matching the query:
SELECT
 '54' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -24.552553756517728
 AND decimalLatitude &lt;= -20.3845909579754
 AND decimalLongitude &gt;= -47.61041350707164
 AND decimalLongitude &lt;= -41.53841948901044
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 33784 records were derived from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003645-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jrf4v
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.645 6.070138, 117.574344 6.064567, 117.505432 6.047992, 117.439965 6.020821, 117.379557 5.983726, 117.325698 5.937621, 117.279714 5.883645, 117.242736 5.823127, 117.215675 5.75756, 117.199191 5.68856, 117.193689 5.617826, 117.199299 5.5471, 117.215879 5.478124, 117.243018 5.412595, 117.280045 5.352125, 117.326046 5.298201, 117.379888 5.252149, 117.440246 5.215101, 117.505637 5.187969, 117.574452 5.171418, 117.645 5.165855, 117.715548 5.171418, 117.784363 5.187969, 117.849754 5.215101, 117.910112 5.252149, 117.963954 5.298201, 118.009955 5.352125, 118.046982 5.412595, 118.074121 5.478124, 118.090701 5.5471, 118.096311 5.617826, 118.090809 5.68856, 118.074325 5.75756, 118.047264 5.823127, 118.010286 5.883645, 117.964302 5.937621, 117.910443 5.983726, 117.850035 6.020821, 117.784568 6.047992, 117.715656 6.064567, 117.645 6.070138))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 495 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003658-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75h6u6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.90900000000001 3.308172, 99.838621 3.302602, 99.769977 3.286032, 99.70475999999999 3.258869, 99.644578 3.221783, 99.590914 3.175688, 99.545089 3.121721, 99.50823 3.06121, 99.481245 2.995648, 99.464797 2.926648, 99.459288 2.855912, 99.464851 2.785179, 99.48134899999999 2.716192, 99.50837300000001 2.650649, 99.54525599999999 2.590162, 99.59108999999999 2.536222, 99.644746 2.490154, 99.704903 2.453092, 99.77007999999999 2.425948, 99.83867499999999 2.40939, 99.90900000000001 2.403825, 99.979325 2.40939, 100.04792 2.425948, 100.113097 2.453092, 100.173254 2.490154, 100.22691 2.536222, 100.272744 2.590162, 100.309627 2.650649, 100.336651 2.716192, 100.353149 2.785179, 100.358712 2.855912, 100.353203 2.926648, 100.336755 2.995648, 100.30977 3.06121, 100.272911 3.121721, 100.227086 3.175688, 100.173422 3.221783, 100.11324 3.258869, 100.048023 3.286032, 99.97937899999999 3.302602, 99.90900000000001 3.308172))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003659-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.31094119
title: Dataset and R Script - cuttlefish oxidative stress and extreme flooding events

description: The marine environment is undergoing major changes, mainly due to climate change, which has increased the frequency and intensity of extreme events. Here, we aimed to study the impact of ecologically relevant extreme flooding conditions (exposure to acute salinity values of 17 and 7) and non-extreme conditions (salinity values of 35, 28, and 24), during 4 days at late embryogenesis, on the oxidative stress of the European cuttlefish (<i>Sepia officinalis</i>) hatchlings. The oxidative stress was evaluated by assessing biomarkers, including heat-shock proteins (HSP70), DNA damage (8-OHdG) and total ubiquitin (Ubi) concentrations, as well as the activity of antioxidant enzymes, Total Antioxidant Capacity (TAC).Here we show, for the first time, that short-term extreme flooding conditions elicit harmful effects on cuttlefish early ontogeny at physiological levels.
DOI: 10.6084/m9.figshare.31094119.v4
title: Dataset and R Script - cuttlefish oxidative stress and extreme flooding events

description: The marine environment is undergoing major changes, mainly due to climate change, which has increased the frequency and intensity of extreme events. Here, we aimed to study the impact of ecologically relevant extreme flooding conditions (exposure to acute salinity values of 17 and 7) and non-extreme conditions (salinity values of 35, 28, and 24), during 4 days at late embryogenesis, on the oxidative stress of the European cuttlefish (<i>Sepia officinalis</i>) hatchlings. The oxidative stress was evaluated by assessing biomarkers, including heat-shock proteins (HSP70), DNA damage (8-OHdG) and total ubiquitin (Ubi) concentrations, as well as the activity of antioxidant enzymes, Total Antioxidant Capacity (TAC).Here we show, for the first time, that short-term extreme flooding conditions elicit harmful effects on cuttlefish early ontogeny at physiological levels.
DOI: 10.6084/m9.figshare.31094119.v3
title: Dataset and R Script - cuttlefish oxidative stress and extreme flooding events

description: The marine environment is undergoing major changes, mainly due to climate change, which has increased the frequency and intensity of extreme events. Here, we aimed to study the impact of ecologically relevant extreme flooding conditions (exposure to acute salinity values of 17 and 7) and non-extreme conditions (salinity values of 35, 28, and 24), during 4 days at late embryogenesis, on the oxidative stress of the European cuttlefish (<i>Sepia officinalis</i>) hatchlings. The oxidative stress was evaluated by assessing biomarkers, including heat-shock proteins (HSP70), DNA damage (8-OHdG) and total ubiquitin (Ubi) concentrations, as well as the activity of antioxidant enzymes, Total Antioxidant Capacity (TAC).Here we show, for the first time, that short-term extreme flooding conditions elicit harmful effects on cuttlefish early ontogeny at physiological levels.
DOI: 10.15468/dl.5x8vgy
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.247 6.073138, 118.176344 6.067567, 118.107432 6.050991, 118.041964 6.023821, 117.981555 5.986726, 117.927696 5.940621, 117.881712 5.886645, 117.844734 5.826127, 117.817672 5.76056, 117.801189 5.691559, 117.795687 5.620826, 117.801297 5.5501, 117.817877 5.481124, 117.845016 5.415595, 117.882043 5.355125, 117.928044 5.301201, 117.981887 5.255149, 118.042245 5.218101, 118.107636 5.190969, 118.176451 5.174418, 118.247 5.168855, 118.317549 5.174418, 118.386364 5.190969, 118.451755 5.218101, 118.512113 5.255149, 118.565956 5.301201, 118.611957 5.355125, 118.648984 5.415595, 118.676123 5.481124, 118.692703 5.5501, 118.698313 5.620826, 118.692811 5.691559, 118.676328 5.76056, 118.649266 5.826127, 118.612288 5.886645, 118.566304 5.940621, 118.512445 5.986726, 118.452036 6.023821, 118.386568 6.050991, 118.317656 6.067567, 118.247 6.073138))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 934 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003662-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2yxy3
title: Occurrence Download

description: A dataset containing 9759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Actinemys marmorata"
 ]
}

 The dataset includes 9759 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003661-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxr3zx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.63800000000001 3.310172, 99.567621 3.304602, 99.498977 3.288032, 99.43376000000001 3.260869, 99.37357799999999 3.223783, 99.319913 3.177688, 99.27408800000001 3.123721, 99.23723 3.06321, 99.210245 2.997648, 99.19379600000001 2.928648, 99.188287 2.857912, 99.19385 2.787179, 99.210348 2.718192, 99.23737199999999 2.652649, 99.274255 2.592162, 99.320089 2.538222, 99.373745 2.492154, 99.433902 2.455092, 99.49908000000001 2.427948, 99.56767499999999 2.41139, 99.63800000000001 2.405825, 99.708325 2.41139, 99.77692 2.427948, 99.84209799999999 2.455092, 99.902255 2.492154, 99.955911 2.538222, 100.001745 2.592162, 100.038628 2.652649, 100.065652 2.718192, 100.08215 2.787179, 100.087713 2.857912, 100.082204 2.928648, 100.065755 2.997648, 100.03877 3.06321, 100.001912 3.123721, 99.956087 3.177688, 99.902422 3.223783, 99.84224 3.260869, 99.777023 3.288032, 99.70837899999999 3.304602, 99.63800000000001 3.310172))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003663-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.17359822
title: Domicílios por tipo de esgotamento sanitário

description: Conjunto de dados sobre domicílios por tipo de esgotamento sanitário nas áreas de interesse: Nordeste, Semiárido, Caatinga e Área de Atuação da Sudene, referente aos anos de 2000, 2010 e 2022, oriunda do Censo Demográfico do Instituto Brasileiro de Geografia e Estatística (IBGE).
DOI: 10.5281/zenodo.18332093
title: Domicílios por tipo de esgotamento sanitário

description: Conjunto de dados sobre domicílios por tipo de esgotamento sanitário nas áreas de interesse: Nordeste, Semiárido, Caatinga e Área de Atuação da Sudene, referente aos anos de 2000, 2010 e 2022, oriunda do Censo Demográfico do Instituto Brasileiro de Geografia e Estatística (IBGE).
DOI: 10.15468/dl.292y2k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.238 6.075138, 102.167344 6.069567, 102.098431 6.052991, 102.032963 6.025821, 101.972554 5.988726, 101.918695 5.942621, 101.87271 5.888645, 101.835733 5.828127, 101.808671 5.76256, 101.792188 5.693559, 101.786685 5.622826, 101.792295 5.5521, 101.808876 5.483124, 101.836015 5.417595, 101.873042 5.357125, 101.919043 5.303201, 101.972886 5.257149, 102.033245 5.220101, 102.098636 5.192969, 102.167451 5.176418, 102.238 5.170855, 102.308549 5.176418, 102.377364 5.192969, 102.442755 5.220101, 102.503114 5.257149, 102.556957 5.303201, 102.602958 5.357125, 102.639985 5.417595, 102.667124 5.483124, 102.683705 5.5521, 102.689315 5.622826, 102.683812 5.693559, 102.667329 5.76256, 102.640267 5.828127, 102.60329 5.888645, 102.557305 5.942621, 102.503446 5.988726, 102.443037 6.025821, 102.377569 6.052991, 102.308656 6.069567, 102.238 6.075138))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003666-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18332119
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?
DOI: 10.15485/2529445
title: Data and scripts associated with “When do Riverine Systems 'Feel the Burn'? Simulating How Burn Extent and Severity Modulate Hydrologic Controls on Biogeochemical Export” (v2)

description: This data package is associated with the publication “When do Riverine Systems 'Feel the Burn'? Simulating How Burn Extent and Severity Modulate Hydrologic Controls on Biogeochemical Export” published in Water Resources Research (Wampler et al. 2025; preprint: https://doi.org/10.22541/essoar.174438106.63564767/v1).
This study used the Soil and Water Assessment Tool (SWAT), a processed based model to explore the impacts of area burned and burn severity on streamflow, nitrate, and dissolved organic carbon (DOC) in two test basins: a semi-arid, mixed land use basin and a humid, primarily forested basin. We developed 1800 wildfire scenarios that we ran in each basin: 20 different burn extents (5 to 100% by 5%), 3 different burn severities (low, moderate, and high), and 30 different post-fire precipitation scenarios. We also ran an additional 30 scenarios associated with no wildfire for the 30 post-fire precipitation scenarios. For each scenario we were interested in the change in runoff ratio (streamflow) and average concentration and annual loads (nitrate and DOC) across the wildfire scenarios.
This data package contains the data and scripts required to build SWAT models for the two test basins, create and run the wildfire scenarios, and generate the data summaries and figures used in the associated manuscript.
This data package was originally published in March 2025. It was updated in January 2026 (v2; new and modified files) to include the final files after the manuscript went through reviews. See the change history section below for more details.
For details on how to navigate data packages generated by this project, see https://data.ess-dive.lbl.gov/portals/PNNLRiverCorridorSFA/About.
DOI: 10.15468/dl.6ae3wz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((97.789 3.311172, 97.718621 3.305602, 97.649976 3.289032, 97.58476 3.261869, 97.52457800000001 3.224783, 97.470913 3.178688, 97.425088 3.124721, 97.388229 3.06421, 97.361244 2.998648, 97.344796 2.929648, 97.339286 2.858911, 97.34484999999999 2.788179, 97.36134800000001 2.719192, 97.388372 2.653649, 97.42525500000001 2.593162, 97.47108900000001 2.539222, 97.524745 2.493154, 97.584902 2.456092, 97.65008 2.428948, 97.718675 2.41239, 97.789 2.406825, 97.859325 2.41239, 97.92792 2.428948, 97.993098 2.456092, 98.05325499999999 2.493154, 98.106911 2.539222, 98.152745 2.593162, 98.189628 2.653649, 98.216652 2.719192, 98.23314999999999 2.788179, 98.238714 2.858911, 98.233204 2.929648, 98.216756 2.998648, 98.18977099999999 3.06421, 98.152912 3.124721, 98.10708700000001 3.178688, 98.053422 3.224783, 97.99324 3.261869, 97.92802399999999 3.289032, 97.859379 3.305602, 97.789 3.311172))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003667-260120142942310/datasets/export for details.
DOI: 10.15468/dl.cyz4gy
title: Occurrence Download

description: A dataset containing 1463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piper cernuum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1463 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003668-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypjkv4
title: Occurrence Download

description: A dataset containing 10157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla"
 ]
}

 The dataset includes 10157 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003670-260120142942310/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.29889790
title: Eavesdropping alarm calls of Japanese tits (<i>Parus minor</i>) by Eurasian tree sparrows (<i>Passer montanus</i>)

description: Mobbing is an important anti-predation strategy that can warn other potential prey, communicate predator threats and reduce predation risk. Previous studies examined how animals transmit and receive information and investigated their cognitive abilities; however, the potential effects of other ecological factors were rarely considered. This study investigated whether alarm calls of Japanese tits (<i>Parus minor</i>) in response to different predators would affect the responses of Eurasian tree sparrows (<i>Passer montanus</i>). The results indicated that: (1) sparrows differentiated heterospecific alarm calls and the level of danger from natural enemies conveyed in these calls, and the recruitment of sparrows by the alarm calls to chipmunks [11.5 ± 12.1, mean ± standard deviation (SD), <i>n</i> = 24] was significantly higher than sparrowhawks (2.43 ± 3.61, <i>n</i> = 21; Wilcoxon rank sum test, <i>P</i> &lt; 0.05), which in turn was significantly greater than that by the song control (0.78 ± 1.31, <i>n</i> = 23; Wilcoxon rank sum test, <i>P</i> &lt; 0.001); (2) the response of sparrows to mobbing calls of Japanese tits seemed to be stronger than that of Japanese tits to conspecific mobbing calls, which was possibly due to flock size; (3) both sparrows and tits were more sensitive to alarm calls in response to chipmunks (<i>Tamias sibiricus</i>) than sparrowhawks (<i>Accipiter nisus</i>), which suggested chipmunks were the main predator. Hence, besides natural enemies affecting the sparrows’ responses to heterospecific mobbing calls, flock size also influences this behavioral response. We suggest that future studies consider the effects of multiple ecological factors on the perception of heterospecific mobbing calls to accurately interpret mobbing call responses and thus better reveal the mechanisms associated with encoding, transmission, and perception of information among animals.