cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24045394
title: Spray Flame Characterization of a Dual Injector for Compact Combustion Systems

description: The scalability of liquid fuel operated jet stabilized combustion system toward scales and mixing timescales relevant for corresponding micro gas turbine systems is impeded by the lack of suitable injection concepts. The high momentum of the combustion air jet can deteriorate the spray quality of conventional injection systems. In combustors with reduced mixing timescales (e.g. MGT and compact aero-engines) this results in elevated emissions and a prompt primary atomization is essential. For this purpose, a canonical confined jet spray burner is developed and equipped with a novel in-house dual-pressure swirl/airblast injection concept. An extensive parameter variation on the jet bulk velocity (80 , equivalence ratio (0.6 , combustion air preheat temperature (500 (K) 800) and premixing length (0.0 (mm) ≤ 48) is conducted to delineate the operational range. The spray process originating a partially premixed and a direct injection case is characterized by means of phase Doppler interferometry and shadowgraphy. The combustion process is described via OH*-chemiluminescence, flame photographs and exhaust gas measurements. The results show that the developed injection system yields Sauter mean diameters predominantly below 25 μm over the entire parameter range due to robust and prompt primary atomization. Moreover, the primary atomization process of the dual injector is sufficient under all conditions to confine secondary atomization close-to the combustor nozzle exit. The flame stabilization and reaction progress are more sensitive to the air preheat temperature than the bulk jet velocity variation as the mixture homogenization is limited by the vaporization process. Moreover, with decreasing reactivity (i.e. equivalence ratio and preheat temperature) the flame stabilization is increasingly dominated by the recirculated hot exhaust gas, indicating a transition from conventional turbulent flame propagation to auto-ignition influenced reaction progress. The resulting NO<sub>x</sub> and CO emissions approximate the values measured previously in related methane powered combustion systems. Consequently, the developed injection system is promising to expand the flexibility of compact gas turbines to liquid fuels while maintaining low emissions.
DOI: 10.6084/m9.figshare.25125676
title: Mixed-mode surveys reveal shared regulatory preferences in an overfished recreational fishery

description: Population declines of spotted seatrout <i>Cynoscion nebulosus</i> have reached levels that warrant management action in Louisiana, USA waters. As regulatory adjustments are necessary to recover the stock, we evaluated the viability of recovery options while gathering preference data from respondents through three survey modes. The modes applied were: (1) a series of public scoping meetings, (2) a probability-based sample of fishing license-holders, and (3) an open-access online survey. Among survey modes, significant differences were seen in avidity, typical harvest, and perceptions of the fishery, indicating that we captured responses from three distinct user groups. Despite these differences, several common themes emerged among all three survey types. Respondents in all survey types indicated strong levels of support for regulations decreasing allowable harvest relative to regulations at the time of survey execution. Specifically, our study presents a viable recovery scenario while accounting for the preferences of multiple user groups.
DOI: 10.6084/m9.figshare.25125676.v1
title: Mixed-mode surveys reveal shared regulatory preferences in an overfished recreational fishery

description: Population declines of spotted seatrout <i>Cynoscion nebulosus</i> have reached levels that warrant management action in Louisiana, USA waters. As regulatory adjustments are necessary to recover the stock, we evaluated the viability of recovery options while gathering preference data from respondents through three survey modes. The modes applied were: (1) a series of public scoping meetings, (2) a probability-based sample of fishing license-holders, and (3) an open-access online survey. Among survey modes, significant differences were seen in avidity, typical harvest, and perceptions of the fishery, indicating that we captured responses from three distinct user groups. Despite these differences, several common themes emerged among all three survey types. Respondents in all survey types indicated strong levels of support for regulations decreasing allowable harvest relative to regulations at the time of survey execution. Specifically, our study presents a viable recovery scenario while accounting for the preferences of multiple user groups.
DOI: 10.15468/dl.b54vvj
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyura jamaicensis (J.F.Gmelin, 1789)",
 "DatasetKey is one of (Invasive species - Ruddy duck (Oxyura jamaicensis) in Flanders, Belgium)"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052708-241126133413365/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.27317199
title: Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise

description: The ability to access physiologically driven signals, such as surface temperature, photochemical reflectance index (PRI), and sun-induced chlorophyll fluorescence (SIF), through remote sensing (RS) are exciting developments for vegetation studies. Accessing this ecophysiological information requires considering processes operating at scales from the top-of-the-canopy to the photosystems, adding complexity compared to reflectance index-based approaches. To investigate the maturity and knowledge of the growing RS community in this area, COST Action CA17134 SENSECO organized a Spatial Scaling Challenge (SSC). Challenge participants were asked to retrieve four key ecophysiological variables for a field each of maize and wheat from a simulated field campaign: leaf area index (LAI), leaf chlorophyll content (<i>C</i><sub>ab</sub>), maximum carboxylation rate (<i>V</i><sub>cmax,25</sub>), and non-photochemical quenching (NPQ). The simulated campaign data included hyperspectral optical, thermal and SIF imagery, together with ground sampling of the four variables. Non-parametric methods that combined multiple spectral domains and field measurements were used most often, thereby indirectly performing the top-of-the-canopy to photosystem scaling. LAI and <i>C</i><sub>ab</sub> were reliably retrieved in most cases, whereas <i>V</i><sub>cmax,25</sub> and NPQ were less accurately estimated and demanded information ancillary to RS imagery. The factors considered least by participants were the biophysical and physiological canopy vertical profiles, the spatial mismatch between RS sensors, the temporal mismatch between field sampling and RS acquisition, and measurement uncertainty. Furthermore, few participants developed NPQ maps into stress maps or provided a deeper analysis of their parameter retrievals. The SSC shows that, despite advances in statistical and physically based models, the vegetation RS community should improve how field and RS data are integrated and scaled in space and time. We expect this work will guide newcomers and support robust advances in this research field.
DOI: 10.6084/m9.figshare.27317199.v2
title: Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise

description: The ability to access physiologically driven signals, such as surface temperature, photochemical reflectance index (PRI), and sun-induced chlorophyll fluorescence (SIF), through remote sensing (RS) are exciting developments for vegetation studies. Accessing this ecophysiological information requires considering processes operating at scales from the top-of-the-canopy to the photosystems, adding complexity compared to reflectance index-based approaches. To investigate the maturity and knowledge of the growing RS community in this area, COST Action CA17134 SENSECO organized a Spatial Scaling Challenge (SSC). Challenge participants were asked to retrieve four key ecophysiological variables for a field each of maize and wheat from a simulated field campaign: leaf area index (LAI), leaf chlorophyll content (<i>C</i><sub>ab</sub>), maximum carboxylation rate (<i>V</i><sub>cmax,25</sub>), and non-photochemical quenching (NPQ). The simulated campaign data included hyperspectral optical, thermal and SIF imagery, together with ground sampling of the four variables. Non-parametric methods that combined multiple spectral domains and field measurements were used most often, thereby indirectly performing the top-of-the-canopy to photosystem scaling. LAI and <i>C</i><sub>ab</sub> were reliably retrieved in most cases, whereas <i>V</i><sub>cmax,25</sub> and NPQ were less accurately estimated and demanded information ancillary to RS imagery. The factors considered least by participants were the biophysical and physiological canopy vertical profiles, the spatial mismatch between RS sensors, the temporal mismatch between field sampling and RS acquisition, and measurement uncertainty. Furthermore, few participants developed NPQ maps into stress maps or provided a deeper analysis of their parameter retrievals. The SSC shows that, despite advances in statistical and physically based models, the vegetation RS community should improve how field and RS data are integrated and scaled in space and time. We expect this work will guide newcomers and support robust advances in this research field.
DOI: 10.6084/m9.figshare.26232078
title: Thermo physical and spectroscopic properties of binary liquid mixtures at various temperatures and correlation with the Jouyban–Acree model (propargyl alcohol, ethanoic acid, propanoic acid and butanoic acid)

description: A thorough investigation into binary mixtures of propargyl alcohol and various carboxylic acids (ethanoic, propanoic and butanoic) was conducted. Measurements of density (<i>ρ</i>), speed of sound (<i>u</i>) and viscosity <i>(η</i>) were meticulously performed across the entire range of mole fractions at temperatures (303.15 K−313.15 K) and atmospheric pressure (0.1 MPa). These data were used to calculate key thermodynamic and transport properties, including excess molar volume, excess isentropic compressibility, deviation in viscosity and excess Gibbs free energy of activation for viscous flow. The partial molar properties and infinite dilution molar partial properties were also determined for each binary system. Trends and behaviours were interpreted within the framework of intermolecular interactions, focusing on complex formation and specific chemical forces. The PFP theory and Jouyban–Acree model were critically applied, with confidence in the findings supported by FTIR studies.
DOI: 10.6084/m9.figshare.26232078.v1
title: Thermo physical and spectroscopic properties of binary liquid mixtures at various temperatures and correlation with the Jouyban–Acree model (propargyl alcohol, ethanoic acid, propanoic acid and butanoic acid)

description: A thorough investigation into binary mixtures of propargyl alcohol and various carboxylic acids (ethanoic, propanoic and butanoic) was conducted. Measurements of density (<i>ρ</i>), speed of sound (<i>u</i>) and viscosity <i>(η</i>) were meticulously performed across the entire range of mole fractions at temperatures (303.15 K−313.15 K) and atmospheric pressure (0.1 MPa). These data were used to calculate key thermodynamic and transport properties, including excess molar volume, excess isentropic compressibility, deviation in viscosity and excess Gibbs free energy of activation for viscous flow. The partial molar properties and infinite dilution molar partial properties were also determined for each binary system. Trends and behaviours were interpreted within the framework of intermolecular interactions, focusing on complex formation and specific chemical forces. The PFP theory and Jouyban–Acree model were critically applied, with confidence in the findings supported by FTIR studies.
DOI: 10.6084/m9.figshare.27317199.v1
title: Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise

description: The ability to access physiologically driven signals, such as surface temperature, photochemical reflectance index (PRI), and sun-induced chlorophyll fluorescence (SIF), through remote sensing (RS) are exciting developments for vegetation studies. Accessing this ecophysiological information requires considering processes operating at scales from the top-of-the-canopy to the photosystems, adding complexity compared to reflectance index-based approaches. To investigate the maturity and knowledge of the growing RS community in this area, COST Action CA17134 SENSECO organized a Spatial Scaling Challenge (SSC). Challenge participants were asked to retrieve four key ecophysiological variables for a field each of maize and wheat from a simulated field campaign: leaf area index (LAI), leaf chlorophyll content (<i>C</i><sub>ab</sub>), maximum carboxylation rate (<i>V</i><sub>cmax,25</sub>), and non-photochemical quenching (NPQ). The simulated campaign data included hyperspectral optical, thermal and SIF imagery, together with ground sampling of the four variables. Non-parametric methods that combined multiple spectral domains and field measurements were used most often, thereby indirectly performing the top-of-the-canopy to photosystem scaling. LAI and <i>C</i><sub>ab</sub> were reliably retrieved in most cases, whereas <i>V</i><sub>cmax,25</sub> and NPQ were less accurately estimated and demanded information ancillary to RS imagery. The factors considered least by participants were the biophysical and physiological canopy vertical profiles, the spatial mismatch between RS sensors, the temporal mismatch between field sampling and RS acquisition, and measurement uncertainty. Furthermore, few participants developed NPQ maps into stress maps or provided a deeper analysis of their parameter retrievals. The SSC shows that, despite advances in statistical and physically based models, the vegetation RS community should improve how field and RS data are integrated and scaled in space and time. We expect this work will guide newcomers and support robust advances in this research field.
DOI: 10.5281/zenodo.14583670
title: 소수 정리

description: i)A/(A-1)+A(A-2)+A/(A-3)+...A/2=?A는 1씩 커진다, A>2, A는 자연수 ii)홀수 A에 대하여(A-2)/3의 몫: 2×2-1개(A-3)/4의 몫: 3×2-1개(A-4)/5의 몫: 4×2-1개.....C/F의 몫: F×2-1개 C>FA가 홀수일 때 몫 A-(A+1)/2+((A+1)/2-1)((A+1)/2-(A+1)/3)+((A+1)/3-1)((A+1)/3-(A+1)/4)+...=? 항 갯수(A-3)개i) ≠ii) 정리된 수식에서 연속곱의 형태는 A>=3의 제약 안에서 N이하의 자연수의 곱 형태로 통일 가능브로카 문제 A = -\frac{1}{4} + \sqrt{\frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2}} + \sqrt{\frac{p}{2} - \frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2} + \frac{q}{2\sqrt{\frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2}}}}.---p = \frac{91}{24}, \quad q = \frac{3^3}{8 \cdot 3^3} - \frac{3 \cdot 13}{2 \cdot 3^2} + \frac{-67}{3}, \quad r = \frac{-3 \cdot 3^4}{256 \cdot 3^4} + \frac{13 \cdot 3^2}{16 \cdot 3^3} - \frac{3 \cdot -67}{4 \cdot 3^2} - \frac{8n^2 - 8n}{3}. n>=1인 자연수 A=c! A+1=m²일 때 자연수 A, m값을 구하시오.골드바흐 문제 k=1부터 n까지 A_k항을 임의로 택하여 곱하는 수식(∏k=1n(1+Ak)) ≠A와 A=(k=1부터 n까지 A_k항의 모든 항을 곱한 수식(∏k=1nAk)을 연립하여 구한 A>=3, A는 홀수에 대하여 2f-A=A'가 성립해야 한다.https://chatgpt.com/share/67748857-f744-800c-a306-05539d3cac7f
DOI: 10.5281/zenodo.14583671
title: 소수 정리

description: i)A/(A-1)+A(A-2)+A/(A-3)+...A/2=?A는 1씩 커진다, A>2, A는 자연수 ii)홀수 A에 대하여(A-2)/3의 몫: 2×2-1개(A-3)/4의 몫: 3×2-1개(A-4)/5의 몫: 4×2-1개.....C/F의 몫: F×2-1개 C>FA가 홀수일 때 몫 A-(A+1)/2+((A+1)/2-1)((A+1)/2-(A+1)/3)+((A+1)/3-1)((A+1)/3-(A+1)/4)+...=? 항 갯수(A-3)개i) ≠ii) 정리된 수식에서 연속곱의 형태는 A>=3의 제약 안에서 N이하의 자연수의 곱 형태로 통일 가능브로카 문제 A = -\frac{1}{4} + \sqrt{\frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2}} + \sqrt{\frac{p}{2} - \frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2} + \frac{q}{2\sqrt{\frac{-p + \sqrt{p^2 - 2(p^2 - 4r)}}{2}}}}.---p = \frac{91}{24}, \quad q = \frac{3^3}{8 \cdot 3^3} - \frac{3 \cdot 13}{2 \cdot 3^2} + \frac{-67}{3}, \quad r = \frac{-3 \cdot 3^4}{256 \cdot 3^4} + \frac{13 \cdot 3^2}{16 \cdot 3^3} - \frac{3 \cdot -67}{4 \cdot 3^2} - \frac{8n^2 - 8n}{3}. n>=1인 자연수 A=c! A+1=m²일 때 자연수 A, m값을 구하시오.골드바흐 문제 k=1부터 n까지 A_k항을 임의로 택하여 곱하는 수식(∏k=1n(1+Ak)) ≠A와 A=(k=1부터 n까지 A_k항의 모든 항을 곱한 수식(∏k=1nAk)을 연립하여 구한 A>=3, A는 홀수에 대하여 2f-A=A'가 성립해야 한다.https://chatgpt.com/share/67748857-f744-800c-a306-05539d3cac7f
DOI: 10.34740/kaggle/ds/6405305
title: Basic Human Emotions
DOI: 10.6084/m9.figshare.28112162
title: TreeMap2016_tree_table.csv

description: A TREEMAP tree table list with the CN, tm.id, trees per acre and diameter at subplot level.
DOI: 10.15468/dl.5pcqjd
title: Occurrence Download

description: A dataset containing 15894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium, Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium (post 2018))",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 15894 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052709-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hb6m4f
title: Occurrence Download

description: A dataset containing 209609 records in GBIF matching the query:
 SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, taxonKey, scientificName, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND taxonKey IN (6157050, 7190901, 6157035, 6157026, 7062200, 4925890, 5545159, 5831060, 7223276, 9448191, 7466434, 7224157, 7271631, 8045533, 8358048, 7272439, 6369140, 8421432, 3663237, 3802956, 7427650, 7323906, 7224427, 5359402, 5352425, 7068379, 7225471, 2974921, 2914404, 7225621, 3040999, 7068732, 7295374, 6432925, 7331861, 9508942, 6409536, 6411098, 4090836, 7068845, 7415922, 7901010, 3602069, 3065244, 7293222, 5825913, 7230699, 7421129, 7070211, 7227181, 8257546, 4131042, 7226804, 6449041, 2706403, 6085036, 10966302, 4219118, 5224481, 4270548, 4115425, 4932232, 6313051, 6084799, 8134874, 6156934, 5373483, 7740944, 8257857, 7266343, 8336551, 5587240, 4250676, 7409013, 3023671, 8323119, 5347854, 3922770, 7226776, 4270675, 5373039, 8381801, 7440977, 9537212, 9603492, 7753114, 7358677, 9567226, 8925248) AND (continent = 'EUROPE' OR countrycode = 'BE') AND "year" &gt;= 1900 AND hasCoordinate = TRUE 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 (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL) AND coordinateUncertaintyInMeters &lt;= 10000 GROUP BY "year", eeaCellCode, classKey, class, taxonKey, scientificName ORDER BY "year" DESC, eeaCellCode ASC, taxonKey ASC;

 The dataset's 209609 records were derived from 989 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052711-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bamqbs
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Byrsonima alvimii W.R.Anderson"
 ]
}

 The dataset includes 96 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291692-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvaj3e
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diaulula hispida (d'Orbigny, 1834)"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086134-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029852
title: Cuneiform Tablet 1913.14.1521, Spurlock 1913.14.1521

description: [Text Description:] Document concerning barley ❧ [Text or Publication Number Note:] Spurlock 1913.14.1521; CDLI P421373 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) ❧ [Physical Object Note:] 5.3 x 4.1 x 2.2 cm (47 g)
DOI: 10.15468/dl.q9w5st
title: Occurrence Download

description: A dataset containing 650666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Menyanthes trifoliata L., Magnolia acuminata (L.) L., Poa nemoralis L., Cocculus carolinus (L.) DC., Pellaea atropurpurea (L.) Link, Verbena urticifolia L., Ophioglossum vulgatum L., Xerophyllum asphodeloides (L.) Nutt., Sparganium emersum Rehmann, Cunila origanoides (L.) Britton, Lycopus virginicus L., Acer saccharum Marshall, Pseudognaphalium viscosum (Kunth) Anderb., Carya illinoiensis (Wangenh.) K.Koch, Salix amygdaloides Andersson, Schoenoplectus americanus (Pers.) Volkart, Verbena officinalis L., Cabomba caroliniana var. caroliniana, Euthamia graminifolia var. graminifolia, Hypopitys monotropa subsp. monotropa, Vicia americana Muhl. ex Willd.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 650666 records from 1096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026596-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029977
title: Cuneiform Tablet 1913.14.1521, Spurlock 1913.14.1521

description: [Text Description:] Document concerning barley ❧ [Text or Publication Number Note:] Spurlock 1913.14.1521; CDLI P421373 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) ❧ [Physical Object Note:] 5.3 x 4.1 x 2.2 cm (47 g)
DOI: 10.15468/dl.6qtubq
title: Occurrence Download

description: A dataset containing 1836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dictyostelium"
 ]
}

 The dataset includes 1836 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103709-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrw72m
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dikoleps marianae Rubio, Dantart & Luque, 1998"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086154-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.