doc_id stringlengths 16 25 | page int64 0 635 | chunk int64 0 24 | mention_name stringlengths 2 86 | start int64 0 2.75k | end int64 5 2.78k | extractor_specificity stringclasses 3
values | extractor_typology stringclasses 1
value | specificity stringclasses 3
values | typology stringclasses 11
values | usage stringlengths 6 756 ⌀ | valid_data_mention bool 2
classes | judge_error stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
fcv_pads_east_asia:000314 | 13 | 0 | IBAT reports | 222 | 234 | descriptive | named | report | Thirteen internationally recognized areas of biodiversity importance occur within the area covered by ⟦IBAT reports⟧ | true | null | |
fcv_pads_east_asia:000314 | 13 | 0 | IUCN Red List of Threatened Species | 1,189 | 1,224 | named | named | database | as listed in the ⟦IUCN Red List of Threatened Species⟧ or equivalent national approaches | true | null | |
fcv_pads_east_asia:000314 | 13 | 1 | IUCN Red List | 433 | 446 | named | named | database | namely the global ⟦IUCN Red List⟧ and a national red list | true | null | |
fcv_pads_east_asia:000314 | 13 | 1 | national red list | 453 | 470 | descriptive | descriptive | database | namely the global IUCN Red List and a ⟦national red list⟧, which are supplemented from other sources as appropriate | true | null | |
fcv_pads_east_asia:000314 | 13 | 1 | IUCN Red List data | 573 | 591 | named | named | database | Lists of species classified as CR or EN on ⟦IUCN Red List data⟧ (provided by IBAT) | true | null | |
fcv_pads_east_asia:000314 | 13 | 1 | National Red List of Threatened Species of Uganda 2018 | 619 | 673 | named | named | database | and the ⟦National Red List of Threatened Species of Uganda 2018⟧ has been used | true | null | |
fcv_pads_east_asia:000314 | 14 | 0 | secondary data | 566 | 580 | vague | vague | other | Reliable ⟦secondary data⟧ on a species’ population size, extent of occurrence, other relevant information and expert opinion will be used | true | null | |
fcv_pads_east_asia:000314 | 14 | 0 | IUCN Red List | 1,395 | 1,408 | named | named | database | where the threatened status of a species is listed differently on the (global) ⟦IUCN Red List⟧ and national/regional lists | true | null | |
fcv_pads_east_asia:000314 | 15 | 0 | National Red List of Threatened Species of Uganda 2018 | 1,380 | 1,434 | named | named | database | Lists of species potentially present within the Project area were sourced from IBAT and the ⟦National Red List of Threatened Species of Uganda 2018⟧ | true | null | |
fcv_pads_east_asia:000314 | 15 | 0 | IUCN Red List | 1,586 | 1,599 | named | named | database | For each species, the highest threatened status was determined from the ⟦IUCN Red List⟧ and the National Red List of Uganda | true | null | |
fcv_pads_east_asia:000314 | 15 | 0 | National Red List of Uganda | 1,608 | 1,635 | named | named | database | For each species, the highest threatened status was determined from the IUCN Red List and the ⟦National Red List of Uganda⟧ | true | null | |
fcv_pads_east_asia:000314 | 19 | 0 | avifaunal impact monitoring data | 621 | 653 | descriptive | descriptive | other | It is anticipated that ⟦avifaunal impact monitoring data⟧ (Section 6.4) will demonstrate ≥30% reduction in collision indicators post-BFD fitting | true | null | |
fcv_pads_east_asia:000314 | 33 | 0 | GIS database | 1,741 | 1,753 | descriptive | descriptive | system | Data will be recorded using a standardized mobile form and mapped in the Project’s ⟦GIS database⟧ | true | null | |
fcv_pads_east_asia:000314 | 34 | 0 | BNG performance database | 162 | 186 | named | named | database | Results will be incorporated into a ⟦BNG performance database⟧ and reviewed annually | true | null | |
fcv_pads_east_asia:000314 | 36 | 0 | available data | 444 | 458 | vague | vague | other | Compile a GIS overlay of existing TLs vs. bird-sensitivity layers using ⟦available data⟧ | true | null | |
fcv_pads_east_asia:000314 | 36 | 0 | as-built database | 1,600 | 1,617 | descriptive | descriptive | database | Maintain QA/QC via drone imagery and ⟦as-built database⟧ | true | null | |
fcv_pads_east_asia:000314 | 36 | 1 | NU/WCS biodiversity monitoring database | 250 | 289 | named | named | database | integrate results into ⟦NU/WCS biodiversity monitoring database⟧ | true | null | |
fcv_pads_east_asia:000314 | 39 | 0 | national biodiversity datasets | 670 | 700 | descriptive | descriptive | database | Shared ⟦national biodiversity datasets⟧ contributing to Uganda’s conservation reporting | true | null | |
fcv_pads_east_asia:000314 | 39 | 1 | BNG Data Dashboard | 395 | 413 | named | named | system | Develop and populate the ⟦BNG Data Dashboard⟧ shared with NEMA and ERA | true | null | |
fcv_pads_east_asia:000314 | 42 | 0 | monitoring data | 1,083 | 1,098 | vague | descriptive | other | Develop and deploy the UETCL BNG Dashboard integrating ⟦monitoring data⟧ and KPIs | true | null | |
fcv_pads_east_asia:000314 | 43 | 0 | long ‑ term dataset | 860 | 879 | descriptive | descriptive | database | Establish a ⟦long ‑ term dataset⟧ to inform future design improvements and cumulative ‑ impact assessments | true | null | |
fcv_pads_east_asia:000314 | 43 | 1 | surveys of diverter integrity | 530 | 559 | descriptive | descriptive | survey | drone ⟦surveys of diverter integrity⟧ | true | null | |
fcv_pads_east_asia:000314 | 44 | 0 | UETCL’s biodiversity database | 1,309 | 1,338 | named | named | database | voucher photos archived in ⟦UETCL’s biodiversity database⟧ | true | null | |
fcv_pads_east_asia:000314 | 44 | 0 | UETCL BNG monitoring database | 1,386 | 1,415 | named | named | database | All records entered into a ⟦UETCL BNG monitoring database⟧ | true | null | |
fcv_pads_east_asia:000314 | 45 | 0 | dataset on bird collisions and electrocutions | 581 | 626 | descriptive | descriptive | database | Reliable, bias ‑ corrected ⟦dataset on bird collisions and electrocutions⟧ | true | null | |
fcv_pads_east_asia:000314 | 47 | 0 | Africa‑wide biodiversitydatasets | 944 | 976 | descriptive | descriptive | database | contribution to ⟦Africa‑wide biodiversitydatasets⟧ | true | null | |
fcv_pads_east_asia:000314 | 49 | 0 | BNG database and monitoring dashboard | 1,098 | 1,135 | named | named | system | Maintaining the ⟦BNG database and monitoring dashboard⟧ | true | null | |
fcv_pads_east_asia:000314 | 5 | 0 | Biodiversity Net Gain (BNG) database | 184 | 220 | named | named | database | Data will be entered into UETCL’s ⟦Biodiversity Net Gain (BNG) database⟧ and dashboard | true | null | |
fcv_pads_east_asia:000314 | 9 | 0 | Spatial data | 1,350 | 1,362 | descriptive | descriptive | geospatial | ⟦Spatial data⟧ (kml files) for the above segments have been provided for this assessment | true | null | |
fcv_pads_east_asia:000314 | 9 | 0 | spatial data | 1,524 | 1,536 | descriptive | descriptive | geospatial | This ⟦spatial data⟧ is considered sufficiently accurate for biodiversity assessment purposes | true | null | |
fcv_pads_east_asia:000315 | 109 | 0 | empirical data | 1,580 | 1,594 | vague | vague | other | there is no ⟦empirical data⟧ demonstrating adverse health effects | true | null | |
fcv_pads_east_asia:000315 | 10 | 0 | GRM DATABASE | 253 | 265 | named | named | other | 5.5.6|⟦GRM DATABASE⟧|223 | false | null | |
fcv_pads_east_asia:000315 | 111 | 1 | Montreux Record | 1,369 | 1,384 | named | named | other | The ⟦Montreux Record⟧ is an important instrument of the Convention | false | null | |
fcv_pads_east_asia:000315 | 118 | 0 | geotechnical and engineering surveys | 670 | 706 | descriptive | descriptive | other | completion of ⟦geotechnical and engineering surveys⟧ to provide detailed information needed | true | null | |
fcv_pads_east_asia:000315 | 120 | 0 | orthomaps | 776 | 785 | descriptive | descriptive | geospatial | Annex 1 includes a series of 13 ⟦orthomaps⟧ on which the TL sections are shown | true | null | |
fcv_pads_east_asia:000315 | 128 | 0 | geotechnical and engineering surveys | 1,812 | 1,848 | descriptive | descriptive | other | completion of ⟦geotechnical and engineering surveys⟧ to provide detailed information needed for placement of | true | null | |
fcv_pads_east_asia:000315 | 128 | 1 | Walkover survey | 1,187 | 1,202 | descriptive | descriptive | other | ⟦Walkover survey⟧ to identify the corridor | false | null | |
fcv_pads_east_asia:000315 | 142 | 0 | National Population Census Report | 513 | 546 | named | named | census | the recnt ⟦National Population Census Report⟧ (2024) | true | null | |
fcv_pads_east_asia:000315 | 144 | 0 | geological and soil maps | 968 | 992 | descriptive | descriptive | geospatial | ⟦geological and soil maps⟧ are not available at this project development phase | true | null | |
fcv_pads_east_asia:000315 | 144 | 0 | secondary data sources | 1,299 | 1,321 | descriptive | descriptive | other | based on existing ⟦secondary data sources⟧ | true | null | |
fcv_pads_east_asia:000315 | 144 | 1 | geological maps | 657 | 672 | descriptive | descriptive | geospatial | the ⟦geological maps⟧, are not available at this project development phase | true | null | |
fcv_pads_east_asia:000315 | 150 | 0 | seismic hazard map | 233 | 251 | descriptive | descriptive | geospatial | A ⟦seismic hazard map⟧ with PGA values in 'g' quantifies the expected maximum acceleration | true | null | |
fcv_pads_east_asia:000315 | 155 | 0 | modelled flood information | 632 | 658 | descriptive | descriptive | estimates | River flood risk is classified as high based on ⟦modelled flood information⟧ currently available at thinkhazard.org | true | null | |
fcv_pads_east_asia:000315 | 157 | 0 | air quality data | 507 | 523 | vague | vague | other | there is no ⟦air quality data⟧ | true | null | |
fcv_pads_east_asia:000315 | 157 | 0 | air quality data | 812 | 828 | vague | vague | other | project developers are expected to collect baseline ⟦air quality data⟧ | true | null | |
fcv_pads_east_asia:000315 | 15 | 8 | MAMMAL SURVEY WITH THE LOCAL PEOPLE | 181 | 216 | descriptive | named | survey | TABLE28: RESULTS OF ⟦MAMMAL SURVEY WITH THE LOCAL PEOPLE⟧....................................................... 169 | false | null | |
fcv_pads_east_asia:000315 | 162 | 0 | traffic count | 1,732 | 1,745 | descriptive | descriptive | other | a simple ⟦traffic count⟧ was undertaken at each sampling point | true | null | |
fcv_pads_east_asia:000315 | 163 | 0 | noise and air quality sampling | 882 | 912 | descriptive | descriptive | other | Figure 25 identifies the sites at which ⟦noise and air quality sampling⟧ was conducted | true | null | |
fcv_pads_east_asia:000315 | 165 | 0 | groundwater data | 140 | 156 | vague | vague | other | the collation and archiving of ⟦groundwater data⟧ in the ⟦National Groundwater Database⟧ | true | null | |
fcv_pads_east_asia:000315 | 165 | 0 | National Groundwater Database | 164 | 193 | named | named | database | the collation and archiving of groundwater data in the ⟦National Groundwater Database⟧ | true | null | |
fcv_pads_east_asia:000315 | 168 | 0 | GHG Inventory of the Central and Northern Corridor 2021 | 1,619 | 1,674 | named | named | report | According to a report on ⟦GHG Inventory of the Central and Northern Corridor 2021⟧ | true | null | |
fcv_pads_east_asia:000315 | 170 | 1 | Vegetationmap4africa | 1,526 | 1,546 | named | named | geospatial | 9 ⟦Vegetationmap4africa⟧ | true | null | |
fcv_pads_east_asia:000315 | 174 | 0 | land cover data | 308 | 323 | descriptive | vague | geospatial | ⟦land cover data⟧ is not sufficiently detailed to limit the assessment | true | null | |
fcv_pads_east_asia:000315 | 174 | 0 | IUCN Red List of Threatened Species | 783 | 818 | named | named | database | the ⟦IUCN Red List of Threatened Species⟧, which is a key underlying source for data provided by IBAT | true | null | |
fcv_pads_east_asia:000315 | 176 | 0 | land cover data | 432 | 447 | descriptive | vague | geospatial | Habitats are characterized based on ⟦land cover data⟧ produced by the | true | null | |
fcv_pads_east_asia:000315 | 176 | 0 | CCI Map of Africa 2016 land cover assessment | 464 | 508 | named | named | geospatial | ⟦CCI Map of Africa 2016 land cover assessment⟧ (20 m resolution) | true | null | |
fcv_pads_east_asia:000315 | 176 | 0 | Earth Map | 544 | 553 | named | named | system | sourced through ⟦Earth Map⟧ | true | null | |
fcv_pads_east_asia:000315 | 176 | 0 | CCI Map of Africa 2016 | 1,030 | 1,052 | named | named | geospatial | **Figure 29: ⟦CCI Map of Africa 2016⟧[28] (20 m resolution) Land Cover Showing the MasakaMutukula TL** | true | null | |
fcv_pads_east_asia:000315 | 177 | 0 | CCI Map of Africa 2016 | 107 | 129 | named | named | geospatial | Based on ⟦CCI Map of Africa 2016⟧[29] (20 m Resolution) and Ground Truthing | true | null | |
fcv_pads_east_asia:000315 | 179 | 0 | IBAT generated maps | 301 | 320 | descriptive | named | geospatial | based on ⟦IBAT generated maps⟧, with many of the important protected areas labelled | true | null | |
fcv_pads_east_asia:000315 | 180 | 1 | Uganda National Red List | 941 | 965 | named | named | other | the ⟦Uganda National Red List⟧ provides the highest threatened status | false | null | |
fcv_pads_east_asia:000315 | 183 | 0 | red lists | 1,015 | 1,024 | descriptive | descriptive | other | as per the international and national ⟦red lists⟧ | false | null | |
fcv_pads_east_asia:000315 | 188 | 0 | species count list | 447 | 465 | descriptive | descriptive | other | developing a ⟦species count list⟧ in which all species positively identified were listed | false | null | |
fcv_pads_east_asia:000315 | 188 | 1 | photos obtained via camera traps | 998 | 1,030 | descriptive | descriptive | geospatial | Figure 33 includes ⟦photos obtained via camera traps⟧ for three listed species | true | null | |
fcv_pads_east_asia:000315 | 191 | 0 | eBird data | 119 | 129 | named | named | database | using ⟦eBird data⟧ for Western Uganda | true | null | |
fcv_pads_east_asia:000315 | 191 | 0 | IUCN red listed species records | 1,576 | 1,607 | descriptive | descriptive | other | the absence of ⟦IUCN red listed species records⟧ in the project area | true | null | |
fcv_pads_east_asia:000315 | 191 | 1 | biodiversity data | 327 | 344 | vague | vague | other | ⟦biodiversity data⟧ must be scrutinized for reliability | true | null | |
fcv_pads_east_asia:000315 | 192 | 1 | mammal surveys | 1,310 | 1,324 | descriptive | descriptive | survey | used in conducting ⟦mammal surveys⟧ | true | null | |
fcv_pads_east_asia:000315 | 193 | 0 | mammal survey with the local people | 482 | 517 | descriptive | descriptive | survey | Table 27: Results of ⟦mammal survey with the local people⟧ | true | null | |
fcv_pads_east_asia:000315 | 193 | 0 | mammal survey | 918 | 931 | descriptive | descriptive | survey | techniques that were deployed for ⟦mammal survey⟧ revealed their absence | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | population Censuses | 351 | 370 | descriptive | descriptive | census | Such data are collected through ⟦population Censuses⟧ | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | demographic and socio-economic surveys | 372 | 410 | descriptive | descriptive | survey | Such data are collected through ⟦demographic and socio-economic surveys⟧ | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | civil registration systems | 412 | 438 | descriptive | descriptive | administrative | Such data are collected through ⟦civil registration systems⟧ | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | population census | 488 | 505 | descriptive | descriptive | census | In Uganda, the ⟦population census⟧ remains the main source of demographic and socioeconomic data | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | population census | 585 | 602 | descriptive | descriptive | census | The most recent ⟦population census⟧ was conducted in 2014 | true | null | |
fcv_pads_east_asia:000315 | 199 | 1 | 2014 population and housing census | 781 | 815 | named | descriptive | census | According to the ⟦2014 population and housing census⟧, Masaka district has a total human population | true | null | |
fcv_pads_east_asia:000315 | 200 | 0 | 2014 National Population and Housing Census | 28 | 71 | named | named | census | According the ⟦2014 National Population and Housing Census⟧, the district had total population | true | null | |
fcv_pads_east_asia:000315 | 200 | 0 | 2014 census | 646 | 657 | descriptive | descriptive | census | according to the ⟦2014 census⟧ was 518,002 | true | null | |
fcv_pads_east_asia:000315 | 200 | 0 | 2002 population census | 748 | 770 | descriptive | descriptive | census | When compared to the ⟦2002 population census⟧ results | true | null | |
fcv_pads_east_asia:000315 | 205 | 1 | Police Report | 1,792 | 1,805 | descriptive | descriptive | report | The ⟦Police Report⟧ shows that in 2012, at least 900 cases of GBV were reported to police | true | null | |
fcv_pads_east_asia:000315 | 205 | 2 | Police Report | 87 | 100 | named | descriptive | report | The ⟦Police Report⟧ that a majority of these cases involve defilement, rape, homosexuality and wife beating | true | null | |
fcv_pads_east_asia:000315 | 209 | 1 | data on education facilities | 237 | 265 | descriptive | descriptive | other | ⟦data on education facilities⟧ within the project affected districts will be collected as primary data | true | null | |
fcv_pads_east_asia:000315 | 209 | 1 | household survey | 402 | 418 | descriptive | descriptive | survey | According to the ⟦household survey⟧, 37.2% of the respondents have attained at least secondary education | true | null | |
fcv_pads_east_asia:000315 | 20 | 1 | National Housing and Population Census | 649 | 687 | named | named | census | ⟦National Housing and Population Census⟧ | true | null | |
fcv_pads_east_asia:000315 | 210 | 0 | household survey | 402 | 418 | descriptive | descriptive | survey | The results of the ⟦household survey⟧ indicate that 34% of respondents attained primary level | true | null | |
fcv_pads_east_asia:000315 | 211 | 0 | household survey | 51 | 67 | descriptive | descriptive | survey | Based on the findings of the ⟦household survey⟧ conducted | true | null | |
fcv_pads_east_asia:000315 | 212 | 0 | National Population Census | 291 | 317 | named | descriptive | census | According to the Recent ⟦National Population Census⟧ | true | null | |
fcv_pads_east_asia:000315 | 214 | 0 | WHO data | 503 | 511 | named | named | other | According to the latest ⟦WHO data⟧ published in 2020 | true | null | |
fcv_pads_east_asia:000315 | 214 | 1 | Uganda National Health Survey | 1,624 | 1,653 | named | named | survey | prior to the ⟦Uganda National Health Survey⟧ (UNHS) 2019/20 | true | null | |
fcv_pads_east_asia:000315 | 215 | 0 | UNHS 2019/20 | 962 | 974 | named | named | survey | The ⟦UNHS 2019/20⟧ sought to establish the prevalence of three of the most common NCDs in Uganda | true | null | |
fcv_pads_east_asia:000315 | 216 | 1 | DDP | 340 | 343 | named | named | report | according to the ⟦DDP⟧[1] | true | null | |
fcv_pads_east_asia:000315 | 218 | 0 | socio-economic survey | 854 | 875 | descriptive | descriptive | survey | Resulsts of the ⟦socio-economic survey⟧[2] indicate that | true | null | |
fcv_pads_east_asia:000315 | 21 | 1 | Uganda National Health Survey | 423 | 452 | named | named | survey | ⟦Uganda National Health Survey⟧[3] | false | null | |
fcv_pads_east_asia:000315 | 221 | 0 | Data on the water supply situation in Kyotera District | 1,416 | 1,470 | descriptive | descriptive | other | ⟦Data on the water supply situation in Kyotera District⟧[4] was not avaible from the District Development Plan | true | null | |
fcv_pads_east_asia:000315 | 224 | 0 | UNHS 2019/20 | 186 | 198 | named | named | survey | The most recent poverty estimate from the ⟦UNHS 2019/20⟧[5] is that 20.3% of the population is impoverished | true | null | |
fcv_pads_east_asia:000315 | 226 | 1 | Socio-economic and asset surveys | 806 | 838 | descriptive | descriptive | survey | to be based on ⟦Socio-economic and asset surveys⟧[6] | true | null | |
fcv_pads_east_asia:000315 | 227 | 0 | Compensation data | 402 | 419 | descriptive | descriptive | other | Preliminary Summary of ⟦Compensation data⟧[7] | true | null | |
fcv_pads_east_asia:000315 | 229 | 1 | Stakeholder Meeting Attendance Lists | 232 | 268 | descriptive | named | other | see **Annex 8** – ⟦Stakeholder Meeting Attendance Lists⟧[8] | true | null | |
fcv_pads_east_asia:000315 | 22 | 0 | Visual Encounter Survey | 138 | 161 | named | named | survey | |VES|⟦Visual Encounter Survey⟧[9] | false | null | |
fcv_pads_east_asia:000315 | 235 | 1 | stakeholder mapping | 470 | 489 | descriptive | descriptive | other | The proposed ⟦stakeholder mapping⟧[10] shall cater for all | false | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.